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    <pubDate>Tue, 17 May 2022 06:00:00 -0400</pubDate>
    <ttl>120</ttl>
    <item>
      <title>Deficiency of the splicing factor RBM10 limits EGFR inhibitor response in EGFR mutant lung cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/35579943/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Molecularly targeted cancer therapy has improved outcomes for cancer patients with targetable oncoproteins, such as mutant epidermal growth factor receptor (EGFR) in lung cancer. Yet, long-term patient survival remains limited because treatment responses are typically incomplete. One potential explanation for the lack of complete and durable responses is that oncogene-driven cancers with activating mutations in the EGFR often harbor additional co-occurring genetic alterations. This hypothesis...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Clin Invest. 2022 May 17:e145099. doi: 10.1172/JCI145099. Online ahead of print.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Molecularly targeted cancer therapy has improved outcomes for cancer patients with targetable oncoproteins, such as mutant epidermal growth factor receptor (EGFR) in lung cancer. Yet, long-term patient survival remains limited because treatment responses are typically incomplete. One potential explanation for the lack of complete and durable responses is that oncogene-driven cancers with activating mutations in the EGFR often harbor additional co-occurring genetic alterations. This hypothesis remains untested for most genetic alterations that co-occur with mutant EGFR. Here, we report the functional impact of inactivating genetic alteration of the mRNA splicing factor RBM10 that co-occur with mutant EGFR. RBM10 deficiency decreased EGFR inhibitor efficacy in patient-derived EGFR mutant tumor models. RBM10 modulated mRNA alternative splicing of the mitochondrial apoptotic regulator Bcl-x to regulate tumor cell apoptosis during treatment. Genetic inactivation of RBM10 diminished EGFR inhibitor-mediated apoptosis by decreasing the ratio of Bcl-xS-(pro-apoptotic)-to-Bcl-xL(anti-apoptotic) Bcl-x isoforms. RBM10 deficiency was a biomarker of poor response to EGFR inhibitor treatment in clinical samples. Co-inhibition of Bcl-xL and mutant EGFR overcame resistance induced by RBM10 deficiency. This study sheds light on the role of co-occurring genetic alterations, and on the impact of splicing factor deficiency in the modulation of sensitivity to targeted kinase inhibitor cancer therapy.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/35579943/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">35579943</a> | DOI:<a href=https://doi.org/10.1172/JCI145099>10.1172/JCI145099</a></p></div>]]></content:encoded>
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      <pubDate>Tue, 17 May 2022 06:00:00 -0400</pubDate>
      <dc:creator>Shigeki Nanjo</dc:creator>
      <dc:creator>Wei Wu</dc:creator>
      <dc:creator>Niki Karachaliou</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:creator>Junji Suzuki</dc:creator>
      <dc:creator>Yu-Ting Chou</dc:creator>
      <dc:creator>Siraj M Ali</dc:creator>
      <dc:creator>D Lucas Kerr</dc:creator>
      <dc:creator>Victor R Olivas</dc:creator>
      <dc:creator>Jonathan Shue</dc:creator>
      <dc:creator>Julia Rotow</dc:creator>
      <dc:creator>Manasi K Mayekar</dc:creator>
      <dc:creator>Franziska Haderk</dc:creator>
      <dc:creator>Nilanjana Chatterjee</dc:creator>
      <dc:creator>Anatoly Urisman</dc:creator>
      <dc:creator>Jia Chi Yeo</dc:creator>
      <dc:creator>Anders J Skanderup</dc:creator>
      <dc:creator>Aaron C Tan</dc:creator>
      <dc:creator>Wai Leong Tam</dc:creator>
      <dc:creator>Oscar Arrieta</dc:creator>
      <dc:creator>Kazuyoshi Hosomichi</dc:creator>
      <dc:creator>Akihiro Nishiyama</dc:creator>
      <dc:creator>Seiji Yano</dc:creator>
      <dc:creator>Yuriy Kirichok</dc:creator>
      <dc:creator>Daniel Sw Tan</dc:creator>
      <dc:creator>Rafael Rosell</dc:creator>
      <dc:creator>Ross A Okimoto</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2022-05-17</dc:date>
      <dc:source>The Journal of clinical investigation</dc:source>
      <dc:title>Deficiency of the splicing factor RBM10 limits EGFR inhibitor response in EGFR mutant lung cancer</dc:title>
      <dc:identifier>pmid:35579943</dc:identifier>
      <dc:identifier>doi:10.1172/JCI145099</dc:identifier>
    </item>
    <item>
      <title>Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/35523183/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Tumor evolution is driven by the progressive acquisition of genetic and epigenetic alterations that enable uncontrolled growth and expansion to neighboring and distal tissues. The study of phylogenetic relationships between cancer cells provides key insights into these processes. Here, we introduced an evolving lineage-tracing system with a single-cell RNA-seq readout into a mouse model of Kras;Trp53(KP)-driven lung adenocarcinoma and tracked tumor evolution from single-transformed cells to...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cell. 2022 Apr 28:S0092-8674(22)00462-7. doi: 10.1016/j.cell.2022.04.015. Online ahead of print.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Tumor evolution is driven by the progressive acquisition of genetic and epigenetic alterations that enable uncontrolled growth and expansion to neighboring and distal tissues. The study of phylogenetic relationships between cancer cells provides key insights into these processes. Here, we introduced an evolving lineage-tracing system with a single-cell RNA-seq readout into a mouse model of Kras;Trp53(KP)-driven lung adenocarcinoma and tracked tumor evolution from single-transformed cells to metastatic tumors at unprecedented resolution. We found that the loss of the initial, stable alveolar-type2-like state was accompanied by a transient increase in plasticity. This was followed by the adoption of distinct transcriptional programs that enable rapid expansion and, ultimately, clonal sweep of stable subclones capable of metastasizing. Finally, tumors develop through stereotypical evolutionary trajectories, and perturbing additional tumor suppressors accelerates progression by creating novel trajectories. Our study elucidates the hierarchical nature of tumor evolution and, more broadly, enables in-depth studies of tumor progression.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/35523183/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">35523183</a> | DOI:<a href=https://doi.org/10.1016/j.cell.2022.04.015>10.1016/j.cell.2022.04.015</a></p></div>]]></content:encoded>
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      <pubDate>Fri, 06 May 2022 06:00:00 -0400</pubDate>
      <dc:creator>Dian Yang</dc:creator>
      <dc:creator>Matthew G Jones</dc:creator>
      <dc:creator>Santiago Naranjo</dc:creator>
      <dc:creator>William M Rideout</dc:creator>
      <dc:creator>Kyung Hoi Joseph Min</dc:creator>
      <dc:creator>Raymond Ho</dc:creator>
      <dc:creator>Wei Wu</dc:creator>
      <dc:creator>Joseph M Replogle</dc:creator>
      <dc:creator>Jennifer L Page</dc:creator>
      <dc:creator>Jeffrey J Quinn</dc:creator>
      <dc:creator>Felix Horns</dc:creator>
      <dc:creator>Xiaojie Qiu</dc:creator>
      <dc:creator>Michael Z Chen</dc:creator>
      <dc:creator>William A Freed-Pastor</dc:creator>
      <dc:creator>Christopher S McGinnis</dc:creator>
      <dc:creator>David M Patterson</dc:creator>
      <dc:creator>Zev J Gartner</dc:creator>
      <dc:creator>Eric D Chow</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Michelle M Chan</dc:creator>
      <dc:creator>Nir Yosef</dc:creator>
      <dc:creator>Tyler Jacks</dc:creator>
      <dc:creator>Jonathan S Weissman</dc:creator>
      <dc:date>2022-05-06</dc:date>
      <dc:source>Cell</dc:source>
      <dc:title>Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution</dc:title>
      <dc:identifier>pmid:35523183</dc:identifier>
      <dc:identifier>doi:10.1016/j.cell.2022.04.015</dc:identifier>
    </item>
    <item>
      <title>Small-molecule targeted therapies induce dependence on DNA double-strand break repair in residual tumor cells</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/35353542/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Residual cancer cells that survive drug treatments with targeted therapies act as a reservoir from which eventual resistant disease emerges. Although there is great interest in therapeutically targeting residual cells, efforts are hampered by our limited knowledge of the vulnerabilities existing in this cell state. Here, we report that diverse oncogene-targeted therapies, including inhibitors of epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), KRAS, and BRAF, induce DNA...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Sci Transl Med. 2022 Mar 30;14(638):eabc7480. doi: 10.1126/scitranslmed.abc7480. Epub 2022 Mar 30.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Residual cancer cells that survive drug treatments with targeted therapies act as a reservoir from which eventual resistant disease emerges. Although there is great interest in therapeutically targeting residual cells, efforts are hampered by our limited knowledge of the vulnerabilities existing in this cell state. Here, we report that diverse oncogene-targeted therapies, including inhibitors of epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), KRAS, and BRAF, induce DNA double-strand breaks and, consequently, ataxia-telangiectasia mutated (ATM)-dependent DNA repair in oncogene-matched residual tumor cells. This DNA damage response, observed in cell lines, mouse xenograft models, and human patients, is driven by a pathway involving the activation of caspases 3 and 7 and the downstream caspase-activated deoxyribonuclease (CAD). CAD is, in turn, activated through caspase-mediated degradation of its endogenous inhibitor, ICAD. In models of <i>EGFR</i> mutant non-small cell lung cancer (NSCLC), tumor cells that survive treatment with small-molecule EGFR-targeted therapies are thus synthetically dependent on ATM, and combined treatment with an ATM kinase inhibitor eradicates these cells in vivo. This led to more penetrant and durable responses in <i>EGFR</i> mutant NSCLC mouse xenograft models, including those derived from both established cell lines and patient tumors. Last, we found that rare patients with <i>EGFR</i> mutant NSCLC harboring co-occurring, loss-of-function mutations in <i>ATM</i> exhibit extended progression-free survival on first generation EGFR inhibitor therapy relative to patients with <i>EGFR</i> mutant NSCLC lacking deleterious <i>ATM</i> mutations. Together, these findings establish a rationale for the mechanism-based integration of ATM inhibitors alongside existing targeted therapies.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/35353542/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">35353542</a> | DOI:<a href=https://doi.org/10.1126/scitranslmed.abc7480>10.1126/scitranslmed.abc7480</a></p></div>]]></content:encoded>
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      <pubDate>Wed, 30 Mar 2022 06:00:00 -0400</pubDate>
      <dc:creator>Moiez Ali</dc:creator>
      <dc:creator>Min Lu</dc:creator>
      <dc:creator>Hazel Xiaohui Ang</dc:creator>
      <dc:creator>Ryan S Soderquist</dc:creator>
      <dc:creator>Christine E Eyler</dc:creator>
      <dc:creator>Haley M Hutchinson</dc:creator>
      <dc:creator>Carolyn Glass</dc:creator>
      <dc:creator>Christopher F Bassil</dc:creator>
      <dc:creator>Omar M Lopez</dc:creator>
      <dc:creator>D Lucas Kerr</dc:creator>
      <dc:creator>Christina J Falcon</dc:creator>
      <dc:creator>Helena A Yu</dc:creator>
      <dc:creator>Aaron N Hata</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:creator>Caroline E McCoach</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Kris C Wood</dc:creator>
      <dc:date>2022-03-30</dc:date>
      <dc:source>Science translational medicine</dc:source>
      <dc:title>Small-molecule targeted therapies induce dependence on DNA double-strand break repair in residual tumor cells</dc:title>
      <dc:identifier>pmid:35353542</dc:identifier>
      <dc:identifier>doi:10.1126/scitranslmed.abc7480</dc:identifier>
    </item>
    <item>
      <title>Understanding Drug Sensitivity and Tackling Resistance in Cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/35195258/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Decades of research into the molecular mechanisms of cancer and the development of novel therapeutics have yielded a number of remarkable successes. However, our ability to broadly assign effective, rationally targeted therapies in a personalized manner remains elusive for many patients, and drug resistance persists as a major problem. This is in part due to the well-documented heterogeneity of cancer, including the diversity of tumor cell lineages and cell states, the spectrum of somatic...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cancer Res. 2022 Apr 15;82(8):1448-1460. doi: 10.1158/0008-5472.CAN-21-3695.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Decades of research into the molecular mechanisms of cancer and the development of novel therapeutics have yielded a number of remarkable successes. However, our ability to broadly assign effective, rationally targeted therapies in a personalized manner remains elusive for many patients, and drug resistance persists as a major problem. This is in part due to the well-documented heterogeneity of cancer, including the diversity of tumor cell lineages and cell states, the spectrum of somatic mutations, the complexity of microenvironments, and immune-suppressive features and immune repertoires, which collectively require numerous different therapeutic approaches. Here, we describe a framework to understand the types and biological causes of resistance, providing translational opportunities to tackle drug resistance by rational therapeutic strategies.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/35195258/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">35195258</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC9018544/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC9018544</a> | DOI:<a href=https://doi.org/10.1158/0008-5472.CAN-21-3695>10.1158/0008-5472.CAN-21-3695</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:35195258</guid>
      <pubDate>Wed, 23 Feb 2022 06:00:00 -0500</pubDate>
      <dc:creator>Jeffrey W Tyner</dc:creator>
      <dc:creator>Franziska Haderk</dc:creator>
      <dc:creator>Anbarasu Kumaraswamy</dc:creator>
      <dc:creator>Linda B Baughn</dc:creator>
      <dc:creator>Brian Van Ness</dc:creator>
      <dc:creator>Song Liu</dc:creator>
      <dc:creator>Himangi Marathe</dc:creator>
      <dc:creator>Joshi J Alumkal</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Keith Syson Chan</dc:creator>
      <dc:creator>Brian J Druker</dc:creator>
      <dc:creator>Alan D Hutson</dc:creator>
      <dc:creator>Peter S Nelson</dc:creator>
      <dc:creator>Charles L Sawyers</dc:creator>
      <dc:creator>Christopher D Willey</dc:creator>
      <dc:date>2022-02-23</dc:date>
      <dc:source>Cancer research</dc:source>
      <dc:title>Understanding Drug Sensitivity and Tackling Resistance in Cancer</dc:title>
      <dc:identifier>pmid:35195258</dc:identifier>
      <dc:identifier>pmc:PMC9018544</dc:identifier>
      <dc:identifier>doi:10.1158/0008-5472.CAN-21-3695</dc:identifier>
    </item>
    <item>
      <title>Remodeling of the tumor/tumor microenvironment ecosystem during KRAS G12C inhibitor clinical resistance in lung cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/35166243/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>KRAS G12C inhibitors such as sotorasib and adagrasib are often effective in KRAS G12C-driven non-small cell lung cancer (NSCLC) patients. However, acquired resistance limits long-term patient survival. In this issue of the JCI, Tsai et al. present a comprehensive genetic analysis of multiple tumors with acquired sotorasib resistance obtained through an autopsy of a patient with KRAS G12C-mutant NSCLC. This analysis of pre- and posttreatment tumors uncovered cancer cell-intrinsic and -extrinsic...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Clin Invest. 2022 Feb 15;132(4):e156891. doi: 10.1172/JCI156891.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">KRAS G12C inhibitors such as sotorasib and adagrasib are often effective in KRAS G12C-driven non-small cell lung cancer (NSCLC) patients. However, acquired resistance limits long-term patient survival. In this issue of the JCI, Tsai et al. present a comprehensive genetic analysis of multiple tumors with acquired sotorasib resistance obtained through an autopsy of a patient with KRAS G12C-mutant NSCLC. This analysis of pre- and posttreatment tumors uncovered cancer cell-intrinsic and -extrinsic features of resistance, including reactivation of KRAS-mediated signaling, reprogramming of metabolism, epithelial-mesenchymal transition, and tumor microenvironment changes. This elegant study demonstrates the multifaceted nature of KRAS G12C inhibitor clinical resistance and potential avenues to overcome resistance.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/35166243/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">35166243</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC8843703/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC8843703</a> | DOI:<a href=https://doi.org/10.1172/JCI156891>10.1172/JCI156891</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:35166243</guid>
      <pubDate>Tue, 15 Feb 2022 06:00:00 -0500</pubDate>
      <dc:creator>Tadashi Manabe</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2022-02-15</dc:date>
      <dc:source>The Journal of clinical investigation</dc:source>
      <dc:title>Remodeling of the tumor/tumor microenvironment ecosystem during KRAS G12C inhibitor clinical resistance in lung cancer</dc:title>
      <dc:identifier>pmid:35166243</dc:identifier>
      <dc:identifier>pmc:PMC8843703</dc:identifier>
      <dc:identifier>doi:10.1172/JCI156891</dc:identifier>
    </item>
    <item>
      <title>Inhibition of SHP2 as an approach to block RAS-driven cancers</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/35101231/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>The non-receptor protein tyrosine phosphatase SHP2 (encoded by PTPN11) is a critical component of RAS/MAPK signaling by acting upstream of RAS to promote oncogenic signaling and tumor growth. Over three decades, SHP2 was considered "undruggable" because enzymatic active-site inhibitors generally showed off-target inhibition of other proteins and low membrane permeability. More recently, allosteric SHP2 inhibitors with striking inhibitory potency have been developed. These small molecules...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Adv Cancer Res. 2022;153:205-236. doi: 10.1016/bs.acr.2021.07.002. Epub 2021 Aug 3.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">The non-receptor protein tyrosine phosphatase SHP2 (encoded by PTPN11) is a critical component of RAS/MAPK signaling by acting upstream of RAS to promote oncogenic signaling and tumor growth. Over three decades, SHP2 was considered "undruggable" because enzymatic active-site inhibitors generally showed off-target inhibition of other proteins and low membrane permeability. More recently, allosteric SHP2 inhibitors with striking inhibitory potency have been developed. These small molecules effectively block the signal transduction between receptor tyrosine kinases (RTKs) and RAS/MAPK signaling and show efficacy in preclinical cancer models. Moreover, clinical evaluation of these allosteric SHP2 inhibitors is ongoing. RAS proteins which harbor transforming properties by gain-of-function mutations are present in various cancer types. While inhibitors of KRASG12C show early clinical promise, resistance remains a challenge and other forms of oncogenic RAS remain to be selectively inhibited. Here, we summarize the role of SHP2 in RAS-driven cancers and the therapeutic potential of allosteric SHP2 inhibitors as a strategy to block RAS-driven cancers.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/35101231/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">35101231</a> | DOI:<a href=https://doi.org/10.1016/bs.acr.2021.07.002>10.1016/bs.acr.2021.07.002</a></p></div>]]></content:encoded>
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      <pubDate>Tue, 01 Feb 2022 06:00:00 -0500</pubDate>
      <dc:creator>Yu-Ting Chou</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2022-02-01</dc:date>
      <dc:source>Advances in cancer research</dc:source>
      <dc:title>Inhibition of SHP2 as an approach to block RAS-driven cancers</dc:title>
      <dc:identifier>pmid:35101231</dc:identifier>
      <dc:identifier>doi:10.1016/bs.acr.2021.07.002</dc:identifier>
    </item>
    <item>
      <title>Digital multiplexed analysis of circular RNAs in FFPE and fresh non-small cell lung cancer specimens</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/35060299/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Although many studies highlight the implication of circular RNAs (circRNAs) in carcinogenesis and tumor progression, their potential as cancer biomarkers has not yet been fully explored in the clinic due to the limitations of current quantification methods. Here, we report the use of the nCounter platform as a valid technology for the analysis of circRNA expression patterns in non-small cell lung cancer (NSCLC) specimens. Under this context, our custom-made circRNA panel was able to detect...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Mol Oncol. 2022 Jan 21. doi: 10.1002/1878-0261.13182. Online ahead of print.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Although many studies highlight the implication of circular RNAs (circRNAs) in carcinogenesis and tumor progression, their potential as cancer biomarkers has not yet been fully explored in the clinic due to the limitations of current quantification methods. Here, we report the use of the nCounter platform as a valid technology for the analysis of circRNA expression patterns in non-small cell lung cancer (NSCLC) specimens. Under this context, our custom-made circRNA panel was able to detect circRNA expression both in NSCLC cells and formalin-fixed paraffin-embedded (FFPE) tissues. CircFUT8 was overexpressed in NSCLC, contrasting with circEPB41L2, circBNC2, and circSOX13 downregulation even at the early stages of the disease. Machine learning (ML) approaches from different paradigms allowed discrimination of NSCLC from nontumor controls (NTCs) with an 8-circRNA signature. An additional 4-circRNA signature was able to classify early-stage NSCLC samples from NTC, reaching a maximum area under the ROC curve (AUC) of 0.981. Our results not only present two circRNA signatures with diagnosis potential but also introduce nCounter processing following ML as a feasible protocol for the study and development of circRNA signatures for NSCLC.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/35060299/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">35060299</a> | DOI:<a href=https://doi.org/10.1002/1878-0261.13182>10.1002/1878-0261.13182</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:35060299</guid>
      <pubDate>Fri, 21 Jan 2022 06:00:00 -0500</pubDate>
      <dc:creator>Carlos Pedraz-Valdunciel</dc:creator>
      <dc:creator>Stavros Giannoukakos</dc:creator>
      <dc:creator>Nicolas Potie</dc:creator>
      <dc:creator>Ana Giménez-Capitán</dc:creator>
      <dc:creator>Chung-Ying Huang</dc:creator>
      <dc:creator>Michael Hackenberg</dc:creator>
      <dc:creator>Alberto Fernandez-Hilario</dc:creator>
      <dc:creator>Jill Bracht</dc:creator>
      <dc:creator>Martyna Filipska</dc:creator>
      <dc:creator>Erika Aldeguer</dc:creator>
      <dc:creator>Sonia Rodríguez</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Sarah Warren</dc:creator>
      <dc:creator>Cristina Aguado</dc:creator>
      <dc:creator>Masaoki Ito</dc:creator>
      <dc:creator>Andrés Aguilar-Hernández</dc:creator>
      <dc:creator>Miguel Angel Molina-Vila</dc:creator>
      <dc:creator>Rafael Rosell</dc:creator>
      <dc:date>2022-01-21</dc:date>
      <dc:source>Molecular oncology</dc:source>
      <dc:title>Digital multiplexed analysis of circular RNAs in FFPE and fresh non-small cell lung cancer specimens</dc:title>
      <dc:identifier>pmid:35060299</dc:identifier>
      <dc:identifier>doi:10.1002/1878-0261.13182</dc:identifier>
    </item>
    <item>
      <title>Evolution of metastasis: new tools and insights</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/34872888/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Metastasis is an evolutionary process occurring across multiple organs and timescales. Due to its continuous and dynamic nature, this multifaceted process has been challenging to investigate and remains incompletely understood, in part due to the lack of tools capable of probing genomic evolution at high enough resolution. However, technological advances in genetic sequencing and editing have provided new and powerful methods to refine our understanding of the complex series of events that lead...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Trends Cancer. 2022 Feb;8(2):98-109. doi: 10.1016/j.trecan.2021.11.002. Epub 2021 Dec 3.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Metastasis is an evolutionary process occurring across multiple organs and timescales. Due to its continuous and dynamic nature, this multifaceted process has been challenging to investigate and remains incompletely understood, in part due to the lack of tools capable of probing genomic evolution at high enough resolution. However, technological advances in genetic sequencing and editing have provided new and powerful methods to refine our understanding of the complex series of events that lead to metastatic dissemination. In this review, we summarize the latest genetic and lineage-tracing approaches developed to unravel the genetic evolution of metastasis. The findings that have emerged have enhanced our comprehension of the mechanistic trajectories and timescales of metastasis and could provide new strategies for therapy.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/34872888/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">34872888</a> | DOI:<a href=https://doi.org/10.1016/j.trecan.2021.11.002>10.1016/j.trecan.2021.11.002</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:34872888</guid>
      <pubDate>Tue, 07 Dec 2021 06:00:00 -0500</pubDate>
      <dc:creator>Philippe Gui</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2021-12-07</dc:date>
      <dc:source>Trends in cancer</dc:source>
      <dc:title>Evolution of metastasis: new tools and insights</dc:title>
      <dc:identifier>pmid:34872888</dc:identifier>
      <dc:identifier>doi:10.1016/j.trecan.2021.11.002</dc:identifier>
    </item>
    <item>
      <title>Profiling Sensitivity to Targeted Therapies in EGFR-Mutant NSCLC Patient-Derived Organoids</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/34866626/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Novel 3D cancer organoid cultures derived from clinical patient specimens represent an important model system to evaluate intratumor heterogeneity and treatment response to targeted inhibitors in cancer. Pioneering work in gastrointestinal and pancreatic cancers has highlighted the promise of patient-derived organoids (PDOs) as a patient-proximate culture system, with an increasing number of models emerging. Similarly, work in other cancer types has focused on establishing organoid models and...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Vis Exp. 2021 Nov 22;(177). doi: 10.3791/63039.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Novel 3D cancer organoid cultures derived from clinical patient specimens represent an important model system to evaluate intratumor heterogeneity and treatment response to targeted inhibitors in cancer. Pioneering work in gastrointestinal and pancreatic cancers has highlighted the promise of patient-derived organoids (PDOs) as a patient-proximate culture system, with an increasing number of models emerging. Similarly, work in other cancer types has focused on establishing organoid models and optimizing culture protocols. Notably, 3D cancer organoid models maintain the genetic complexity of original tumor specimens and thus translate tumor-derived sequencing data into treatment with genetically informed targeted therapies in an experimental setting. Further, PDOs might foster the evaluation of rational combination treatments to overcome resistance-associated adaptation of tumors in the future. The latter focuses on intense research efforts in non-small-cell lung cancer (NSCLC), as resistance development ultimately limits the treatment success of targeted inhibitors. An early assessment of therapeutically targetable mechanisms using NSCLC PDOs could help inform rational combination treatments. This manuscript describes a standardized protocol for the cell culture plate-based assessment of drug sensitivities to targeted inhibitors in NSCLC-derived 3D PDOs, with potential adaptability to combinational treatments and other treatment modalities.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/34866626/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">34866626</a> | DOI:<a href=https://doi.org/10.3791/63039>10.3791/63039</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:34866626</guid>
      <pubDate>Mon, 06 Dec 2021 06:00:00 -0500</pubDate>
      <dc:creator>Dora Barbosa Rabago</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:creator>Franziska Haderk</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2021-12-06</dc:date>
      <dc:source>Journal of visualized experiments : JoVE</dc:source>
      <dc:title>Profiling Sensitivity to Targeted Therapies in EGFR-Mutant NSCLC Patient-Derived Organoids</dc:title>
      <dc:identifier>pmid:34866626</dc:identifier>
      <dc:identifier>doi:10.3791/63039</dc:identifier>
    </item>
    <item>
      <title>DDX56 modulates post-transcriptional Wnt signaling through miRNAs and is associated with early recurrence in squamous cell lung carcinoma</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/34446021/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>CONCLUSION: We identified DDX56 as a novel independent prognostic biomarker that exerts its oncogenic effects through miRNA-mediated post-transcriptional regulation of Wnt signaling genes to promote early SqCLC recurrence. DDX56 may assist in identifying SqCLC patients at increased risk of early recurrence and who could benefit from Wnt signaling-targeted therapies.</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Mol Cancer. 2021 Aug 26;20(1):108. doi: 10.1186/s12943-021-01403-w.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">BACKGROUND: Early recurrence is a major obstacle to prolonged postoperative survival in squamous cell lung carcinoma (SqCLC). The molecular mechanisms underlying early SqCLC recurrence remain unclear, and effective prognostic biomarkers for predicting early recurrence are needed.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">METHODS: We analyzed primary tumor samples of 20 SqCLC patients using quantitative proteomics to identify differentially-expressed proteins in patients who experienced early versus late disease recurrence. The expression and prognostic significance of DDX56 was evaluated using a SqCLC tumor tissue microarray and further verified using different online databases. We performed in vitro and in vivo experiments to obtain detailed molecular insight into the functional role of DDX56 in SqCLC.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">RESULTS: We found that DDX56 exhibited increased expression in tumors of patients who experienced early versus late disease recurrence. Increased DDX56 expression in SqCLC tumors was subsequently confirmed as an independent prognostic factor of poor recurrence-free survival in independent SqCLC cohorts. Functionally, DDX56 promotes SqCLC cell growth and migration in vitro, and xenograft tumor progression in vivo. Mechanistically, DDX56 post-transcriptionally promotes expression of multiple Wnt signaling pathway-related genes, including CTNNB1, WNT2B, and represses a subset of miRNAs, including miR-378a-3p, a known suppressor of Wnt signaling. Detailed analysis revealed that DDX56 facilitated degradation of primary miR-378a, leading to down-regulation of mature miR-378a-3p and thus derepression of the target gene WNT2B.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">CONCLUSION: We identified DDX56 as a novel independent prognostic biomarker that exerts its oncogenic effects through miRNA-mediated post-transcriptional regulation of Wnt signaling genes to promote early SqCLC recurrence. DDX56 may assist in identifying SqCLC patients at increased risk of early recurrence and who could benefit from Wnt signaling-targeted therapies.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/34446021/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">34446021</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC8393456/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC8393456</a> | DOI:<a href=https://doi.org/10.1186/s12943-021-01403-w>10.1186/s12943-021-01403-w</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:34446021</guid>
      <pubDate>Fri, 27 Aug 2021 06:00:00 -0400</pubDate>
      <dc:creator>Qingqing Wu</dc:creator>
      <dc:creator>Xiaoyang Luo</dc:creator>
      <dc:creator>Mikkel G Terp</dc:creator>
      <dc:creator>Qingrun Li</dc:creator>
      <dc:creator>Yuan Li</dc:creator>
      <dc:creator>Lei Shen</dc:creator>
      <dc:creator>Ying Chen</dc:creator>
      <dc:creator>Kirstine Jacobsen</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Haiquan Chen</dc:creator>
      <dc:creator>Rong Zeng</dc:creator>
      <dc:creator>Henrik J Ditzel</dc:creator>
      <dc:date>2021-08-27</dc:date>
      <dc:source>Molecular cancer</dc:source>
      <dc:title>DDX56 modulates post-transcriptional Wnt signaling through miRNAs and is associated with early recurrence in squamous cell lung carcinoma</dc:title>
      <dc:identifier>pmid:34446021</dc:identifier>
      <dc:identifier>pmc:PMC8393456</dc:identifier>
      <dc:identifier>doi:10.1186/s12943-021-01403-w</dc:identifier>
    </item>
    <item>
      <title>Targeting AXL in NSCLC</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/34408519/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>State-of-the-art cancer precision medicine approaches involve targeted inactivation of chemically and immunologically addressable vulnerabilities that often yield impressive initial anti-tumor responses in patients. Nonetheless, these responses are overshadowed by therapy resistance that follows. AXL, a receptor tyrosine kinase with bona fide oncogenic capacity, has been associated with the emergence of resistance in an array of cancers with varying pathophysiology and cellular origins,...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Lung Cancer (Auckl). 2021 Aug 10;12:67-79. doi: 10.2147/LCTT.S305484. eCollection 2021.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">State-of-the-art cancer precision medicine approaches involve targeted inactivation of chemically and immunologically addressable vulnerabilities that often yield impressive initial anti-tumor responses in patients. Nonetheless, these responses are overshadowed by therapy resistance that follows. AXL, a receptor tyrosine kinase with bona fide oncogenic capacity, has been associated with the emergence of resistance in an array of cancers with varying pathophysiology and cellular origins, including in non-small-cell lung cancers (NSCLCs). Here in this review, we summarize AXL biology during normal homeostasis, oncogenic development and therapy resistance with a focus on NSCLC. In the context of NSCLC therapy resistance, we delineate AXL's role in mediating resistance to tyrosine kinase inhibitors (TKIs) deployed against epidermal growth factor receptor (EGFR) as well as other notable oncogenes and to chemotherapeutics. We also discuss the current understanding of AXL's role in mediating cell-biological variables that function as important modifiers of therapy resistance such as epithelial to mesenchymal transition (EMT), the tumor microenvironment and tumor heterogeneity. We also catalog and discuss a set of effective pharmacologic tools that are emerging to strategically perturb AXL mediated resistance programs in NSCLC. Finally, we enumerate ongoing and future exciting precision medicine approaches targeting AXL as well as challenges in this regard. We highlight that a holistic understanding of AXL biology in NSCLC may allow us to predict and improve targeted therapeutic strategies, such as through polytherapy approaches, potentially against a broad spectrum of NSCLC sub-types to forestall tumor evolution and drug resistance.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/34408519/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">34408519</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC8364399/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC8364399</a> | DOI:<a href=https://doi.org/10.2147/LCTT.S305484>10.2147/LCTT.S305484</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:34408519</guid>
      <pubDate>Thu, 19 Aug 2021 06:00:00 -0400</pubDate>
      <dc:creator>Aubhishek Zaman</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2021-08-19</dc:date>
      <dc:source>Lung Cancer (Auckland, N.Z.)</dc:source>
      <dc:title>Targeting AXL in NSCLC</dc:title>
      <dc:identifier>pmid:34408519</dc:identifier>
      <dc:identifier>pmc:PMC8364399</dc:identifier>
      <dc:identifier>doi:10.2147/LCTT.S305484</dc:identifier>
    </item>
    <item>
      <title>Exocyst protein subnetworks integrate Hippo and mTOR signaling to promote virus detection and cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/34348154/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>The exocyst is an evolutionarily conserved protein complex that regulates vesicular trafficking and scaffolds signal transduction. Key upstream components of the exocyst include monomeric RAL GTPases, which help mount cell-autonomous responses to trophic and immunogenic signals. Here, we present a quantitative proteomics-based characterization of dynamic and signal-dependent exocyst protein interactomes. Under viral infection, an Exo84 exocyst subcomplex assembles the immune kinase Protein...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cell Rep. 2021 Aug 3;36(5):109491. doi: 10.1016/j.celrep.2021.109491.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">The exocyst is an evolutionarily conserved protein complex that regulates vesicular trafficking and scaffolds signal transduction. Key upstream components of the exocyst include monomeric RAL GTPases, which help mount cell-autonomous responses to trophic and immunogenic signals. Here, we present a quantitative proteomics-based characterization of dynamic and signal-dependent exocyst protein interactomes. Under viral infection, an Exo84 exocyst subcomplex assembles the immune kinase Protein Kinase R (PKR) together with the Hippo kinase Macrophage Stimulating 1 (MST1). PKR phosphorylates MST1 to activate Hippo signaling and inactivate Yes Associated Protein 1 (YAP1). By contrast, a Sec5 exocyst subcomplex recruits another immune kinase, TANK binding kinase 1 (TBK1), which interacted with and activated mammalian target of rapamycin (mTOR). RALB was necessary and sufficient for induction of Hippo and mTOR signaling through parallel exocyst subcomplex engagement, supporting the cellular response to virus infection and oncogenic signaling. This study highlights RALB-exocyst signaling subcomplexes as mechanisms for the integrated engagement of Hippo and mTOR signaling in cells challenged by viral pathogens or oncogenic signaling.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/34348154/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">34348154</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC8383154/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC8383154</a> | DOI:<a href=https://doi.org/10.1016/j.celrep.2021.109491>10.1016/j.celrep.2021.109491</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:34348154</guid>
      <pubDate>Wed, 04 Aug 2021 06:00:00 -0400</pubDate>
      <dc:creator>Aubhishek Zaman</dc:creator>
      <dc:creator>Xiaofeng Wu</dc:creator>
      <dc:creator>Andrew Lemoff</dc:creator>
      <dc:creator>Sivaramakrishna Yadavalli</dc:creator>
      <dc:creator>Jeon Lee</dc:creator>
      <dc:creator>Chensu Wang</dc:creator>
      <dc:creator>Jonathan Cooper</dc:creator>
      <dc:creator>Elizabeth A McMillan</dc:creator>
      <dc:creator>Charles Yeaman</dc:creator>
      <dc:creator>Hamid Mirzaei</dc:creator>
      <dc:creator>Michael A White</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2021-08-04</dc:date>
      <dc:source>Cell reports</dc:source>
      <dc:title>Exocyst protein subnetworks integrate Hippo and mTOR signaling to promote virus detection and cancer</dc:title>
      <dc:identifier>pmid:34348154</dc:identifier>
      <dc:identifier>pmc:PMC8383154</dc:identifier>
      <dc:identifier>doi:10.1016/j.celrep.2021.109491</dc:identifier>
    </item>
    <item>
      <title>Liquid Biopsy for Advanced NSCLC: A Consensus Statement From the International Association for the Study of Lung Cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/34246791/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Although precision medicine has had a mixed impact on the clinical management of patients with advanced-stage cancer overall, for NSCLC, and more specifically for lung adenocarcinoma, the advances have been dramatic, largely owing to the genomic complexity and growing number of druggable oncogene drivers. Furthermore, although tumor tissue is historically the "accepted standard" biospecimen for these molecular analyses, there are considerable innate limitations. Thus, liquid biopsy represents a...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Thorac Oncol. 2021 Oct;16(10):1647-1662. doi: 10.1016/j.jtho.2021.06.017. Epub 2021 Jul 8.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Although precision medicine has had a mixed impact on the clinical management of patients with advanced-stage cancer overall, for NSCLC, and more specifically for lung adenocarcinoma, the advances have been dramatic, largely owing to the genomic complexity and growing number of druggable oncogene drivers. Furthermore, although tumor tissue is historically the "accepted standard" biospecimen for these molecular analyses, there are considerable innate limitations. Thus, liquid biopsy represents a practical alternative source for investigating tumor-derived somatic alterations. Although data are most robust in NSCLC, patients with other cancer types may also benefit from this minimally invasive approach to facilitate selection of targeted therapies. The liquid biopsy approach includes a variety of methodologies for circulating analytes. From a clinical point of view, plasma circulating tumor DNA is the most extensively studied and widely adopted alternative to tissue tumor genotyping in solid tumors, including NSCLC, first entering clinical practice for detection of EGFR mutations in NSCLC. Since the publication of the first International Association for the Study of Lung Cancer (IASLC) liquid biopsy statement in 2018, several additional advances have been made in this field, leading to changes in the therapeutic decision-making algorithm for advanced NSCLC and prompting this 2021 update. In view of the novel and impressive technological advances made in the past few years, the growing clinical application of plasma-based, next-generation sequencing, and the recent Food and Drug and Administration approval in the United States of two different assays for circulating tumor DNA analysis, IASLC revisited the role of liquid biopsy in therapeutic decision-making in a recent workshop in October 2020 and the question of "plasma first" versus "tissue first" approach toward molecular testing for advanced NSCLC. Moreover, evidence-based recommendations from IASLC provide an international perspective on when to order which test and how to interpret the results. Here, we present updates and additional considerations to the previous statement article as a consensus from a multidisciplinary and international team of experts selected by IASLC.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/34246791/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">34246791</a> | DOI:<a href=https://doi.org/10.1016/j.jtho.2021.06.017>10.1016/j.jtho.2021.06.017</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:34246791</guid>
      <pubDate>Sun, 11 Jul 2021 06:00:00 -0400</pubDate>
      <dc:creator>Christian Rolfo</dc:creator>
      <dc:creator>Philip Mack</dc:creator>
      <dc:creator>Giorgio V Scagliotti</dc:creator>
      <dc:creator>Charu Aggarwal</dc:creator>
      <dc:creator>Maria E Arcila</dc:creator>
      <dc:creator>Fabrice Barlesi</dc:creator>
      <dc:creator>Trever Bivona</dc:creator>
      <dc:creator>Maximilian Diehn</dc:creator>
      <dc:creator>Caroline Dive</dc:creator>
      <dc:creator>Rafal Dziadziuszko</dc:creator>
      <dc:creator>Natasha Leighl</dc:creator>
      <dc:creator>Umberto Malapelle</dc:creator>
      <dc:creator>Tony Mok</dc:creator>
      <dc:creator>Nir Peled</dc:creator>
      <dc:creator>Luis E Raez</dc:creator>
      <dc:creator>Lecia Sequist</dc:creator>
      <dc:creator>Lynette Sholl</dc:creator>
      <dc:creator>Charles Swanton</dc:creator>
      <dc:creator>Chris Abbosh</dc:creator>
      <dc:creator>Daniel Tan</dc:creator>
      <dc:creator>Heather Wakelee</dc:creator>
      <dc:creator>Ignacio Wistuba</dc:creator>
      <dc:creator>Rebecca Bunn</dc:creator>
      <dc:creator>Janet Freeman-Daily</dc:creator>
      <dc:creator>Murry Wynes</dc:creator>
      <dc:creator>Chandra Belani</dc:creator>
      <dc:creator>Tetsuya Mitsudomi</dc:creator>
      <dc:creator>David Gandara</dc:creator>
      <dc:date>2021-07-11</dc:date>
      <dc:source>Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer</dc:source>
      <dc:title>Liquid Biopsy for Advanced NSCLC: A Consensus Statement From the International Association for the Study of Lung Cancer</dc:title>
      <dc:identifier>pmid:34246791</dc:identifier>
      <dc:identifier>doi:10.1016/j.jtho.2021.06.017</dc:identifier>
    </item>
    <item>
      <title>Stepwise evolution of therapy resistance in AML</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/34171262/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Relapse of AML patients to FLT3i treatment is the result of a long-term and stepwise process leading to resistance, whereby residual cancer cells initially survive and subsequently expand. Here, Joshi et al. use a multifaceted approach to characterize how microenvironment-driven early resistance to gilteritinib evolves into mutation-driven late resistance.</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cancer Cell. 2021 Jul 12;39(7):904-906. doi: 10.1016/j.ccell.2021.06.004. Epub 2021 Jun 24.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Relapse of AML patients to FLT3i treatment is the result of a long-term and stepwise process leading to resistance, whereby residual cancer cells initially survive and subsequently expand. Here, Joshi et al. use a multifaceted approach to characterize how microenvironment-driven early resistance to gilteritinib evolves into mutation-driven late resistance.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/34171262/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">34171262</a> | DOI:<a href=https://doi.org/10.1016/j.ccell.2021.06.004>10.1016/j.ccell.2021.06.004</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:34171262</guid>
      <pubDate>Fri, 25 Jun 2021 06:00:00 -0400</pubDate>
      <dc:creator>Philippe Gui</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2021-06-25</dc:date>
      <dc:source>Cancer cell</dc:source>
      <dc:title>Stepwise evolution of therapy resistance in AML</dc:title>
      <dc:identifier>pmid:34171262</dc:identifier>
      <dc:identifier>doi:10.1016/j.ccell.2021.06.004</dc:identifier>
    </item>
    <item>
      <title>Kinase-mediated RAS signaling via membraneless cytoplasmic protein granules</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/33848463/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Receptor tyrosine kinase (RTK)-mediated activation of downstream effector pathways such as the RAS GTPase/MAP kinase (MAPK) signaling cascade is thought to occur exclusively from lipid membrane compartments in mammalian cells. Here, we uncover a membraneless, protein granule-based subcellular structure that can organize RTK/RAS/MAPK signaling in cancer. Chimeric (fusion) oncoproteins involving certain RTKs including ALK and RET undergo de novo higher-order assembly into membraneless cytoplasmic...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cell. 2021 May 13;184(10):2649-2664.e18. doi: 10.1016/j.cell.2021.03.031. Epub 2021 Apr 12.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Receptor tyrosine kinase (RTK)-mediated activation of downstream effector pathways such as the RAS GTPase/MAP kinase (MAPK) signaling cascade is thought to occur exclusively from lipid membrane compartments in mammalian cells. Here, we uncover a membraneless, protein granule-based subcellular structure that can organize RTK/RAS/MAPK signaling in cancer. Chimeric (fusion) oncoproteins involving certain RTKs including ALK and RET undergo de novo higher-order assembly into membraneless cytoplasmic protein granules that actively signal. These pathogenic biomolecular condensates locally concentrate the RAS activating complex GRB2/SOS1 and activate RAS in a lipid membrane-independent manner. RTK protein granule formation is critical for oncogenic RAS/MAPK signaling output in these cells. We identify a set of protein granule components and establish structural rules that define the formation of membraneless protein granules by RTK oncoproteins. Our findings reveal membraneless, higher-order cytoplasmic protein assembly as a distinct subcellular platform for organizing oncogenic RTK and RAS signaling.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/33848463/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">33848463</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC8127962/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC8127962</a> | DOI:<a href=https://doi.org/10.1016/j.cell.2021.03.031>10.1016/j.cell.2021.03.031</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:33848463</guid>
      <pubDate>Tue, 13 Apr 2021 06:00:00 -0400</pubDate>
      <dc:creator>Asmin Tulpule</dc:creator>
      <dc:creator>Juan Guan</dc:creator>
      <dc:creator>Dana S Neel</dc:creator>
      <dc:creator>Hannah R Allegakoen</dc:creator>
      <dc:creator>Yone Phar Lin</dc:creator>
      <dc:creator>David Brown</dc:creator>
      <dc:creator>Yu-Ting Chou</dc:creator>
      <dc:creator>Ann Heslin</dc:creator>
      <dc:creator>Nilanjana Chatterjee</dc:creator>
      <dc:creator>Shriya Perati</dc:creator>
      <dc:creator>Shruti Menon</dc:creator>
      <dc:creator>Tan A Nguyen</dc:creator>
      <dc:creator>Jayanta Debnath</dc:creator>
      <dc:creator>Alejandro D Ramirez</dc:creator>
      <dc:creator>Xiaoyu Shi</dc:creator>
      <dc:creator>Bin Yang</dc:creator>
      <dc:creator>Siyu Feng</dc:creator>
      <dc:creator>Suraj Makhija</dc:creator>
      <dc:creator>Bo Huang</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2021-04-13</dc:date>
      <dc:source>Cell</dc:source>
      <dc:title>Kinase-mediated RAS signaling via membraneless cytoplasmic protein granules</dc:title>
      <dc:identifier>pmid:33848463</dc:identifier>
      <dc:identifier>pmc:PMC8127962</dc:identifier>
      <dc:identifier>doi:10.1016/j.cell.2021.03.031</dc:identifier>
    </item>
    <item>
      <title>Single-cell lineages reveal the rates, routes, and drivers of metastasis in cancer xenografts</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/33479121/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Detailed phylogenies of tumor populations can recount the history and chronology of critical events during cancer progression, such as metastatic dissemination. We applied a Cas9-based, single-cell lineage tracer to study the rates, routes, and drivers of metastasis in a lung cancer xenograft mouse model. We report deeply resolved phylogenies for tens of thousands of cancer cells traced over months of growth and dissemination. This revealed stark heterogeneity in metastatic capacity, arising...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Science. 2021 Feb 26;371(6532):eabc1944. doi: 10.1126/science.abc1944. Epub 2021 Jan 21.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Detailed phylogenies of tumor populations can recount the history and chronology of critical events during cancer progression, such as metastatic dissemination. We applied a Cas9-based, single-cell lineage tracer to study the rates, routes, and drivers of metastasis in a lung cancer xenograft mouse model. We report deeply resolved phylogenies for tens of thousands of cancer cells traced over months of growth and dissemination. This revealed stark heterogeneity in metastatic capacity, arising from preexisting and heritable differences in gene expression. We demonstrate that these identified genes can drive invasiveness and uncovered an unanticipated suppressive role for <i>KRT17</i> We also show that metastases disseminated via multidirectional tissue routes and complex seeding topologies. Overall, we demonstrate the power of tracing cancer progression at subclonal resolution and vast scale.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/33479121/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">33479121</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7983364/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7983364</a> | DOI:<a href=https://doi.org/10.1126/science.abc1944>10.1126/science.abc1944</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:33479121</guid>
      <pubDate>Fri, 22 Jan 2021 06:00:00 -0500</pubDate>
      <dc:creator>Jeffrey J Quinn</dc:creator>
      <dc:creator>Matthew G Jones</dc:creator>
      <dc:creator>Ross A Okimoto</dc:creator>
      <dc:creator>Shigeki Nanjo</dc:creator>
      <dc:creator>Michelle M Chan</dc:creator>
      <dc:creator>Nir Yosef</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Jonathan S Weissman</dc:creator>
      <dc:date>2021-01-22</dc:date>
      <dc:source>Science (New York, N.Y.)</dc:source>
      <dc:title>Single-cell lineages reveal the rates, routes, and drivers of metastasis in cancer xenografts</dc:title>
      <dc:identifier>pmid:33479121</dc:identifier>
      <dc:identifier>pmc:PMC7983364</dc:identifier>
      <dc:identifier>doi:10.1126/science.abc1944</dc:identifier>
    </item>
    <item>
      <title>Allosteric SHP2 inhibitors in cancer: Targeting the intersection of RAS, resistance, and the immune microenvironment</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/33418513/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>The nonreceptor protein tyrosine phosphatase SHP2 (encoded by PTPN11) integrates growth and differentiation signals from receptor tyrosine kinases (RTKs) into the RAS/mitogen-activated protein kinase (MAPK) cascade. Considered 'undruggable' over three decades, SHP2 is now a potentially druggable target with the advent of allosteric SHP2 inhibitors. These agents hold promise for improving patient outcomes, showing efficacy in preclinical cancer models, where SHP2 is critical for either oncogenic...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Curr Opin Chem Biol. 2021 Jun;62:1-12. doi: 10.1016/j.cbpa.2020.11.007. Epub 2021 Jan 6.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">The nonreceptor protein tyrosine phosphatase SHP2 (encoded by PTPN11) integrates growth and differentiation signals from receptor tyrosine kinases (RTKs) into the RAS/mitogen-activated protein kinase (MAPK) cascade. Considered 'undruggable' over three decades, SHP2 is now a potentially druggable target with the advent of allosteric SHP2 inhibitors. These agents hold promise for improving patient outcomes, showing efficacy in preclinical cancer models, where SHP2 is critical for either oncogenic signaling or resistance to current targeted agents. SHP2 inhibition may also produce immunomodulatory effects in certain tumor microenvironment cells to help cultivate antitumor immune responses. The first generation of allosteric SHP2 inhibitors is under clinical evaluation to determine safety, appropriate tolerability management, and antitumor efficacy, investigations that will dictate future clinical applications.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/33418513/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">33418513</a> | DOI:<a href=https://doi.org/10.1016/j.cbpa.2020.11.007>10.1016/j.cbpa.2020.11.007</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:33418513</guid>
      <pubDate>Fri, 08 Jan 2021 06:00:00 -0500</pubDate>
      <dc:creator>D Lucas Kerr</dc:creator>
      <dc:creator>Franziska Haderk</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2021-01-08</dc:date>
      <dc:source>Current opinion in chemical biology</dc:source>
      <dc:title>Allosteric SHP2 inhibitors in cancer: Targeting the intersection of RAS, resistance, and the immune microenvironment</dc:title>
      <dc:identifier>pmid:33418513</dc:identifier>
      <dc:identifier>doi:10.1016/j.cbpa.2020.11.007</dc:identifier>
    </item>
    <item>
      <title>Functional screening identifies aryl hydrocarbon receptor as suppressor of lung cancer metastasis</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/33214553/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Lung cancer mortality largely results from metastasis. Despite curative surgery many patients with early-stage non-small cell lung cancer ultimately succumb to metastatic relapse. Current risk reduction strategies based on cytotoxic chemotherapy and radiation have only modest activity. Against this background, we functionally screened for novel metastasis modulators using a barcoded shRNA library and an orthotopic lung cancer model. We identified aryl hydrocarbon receptor (AHR), a sensor of...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Oncogenesis. 2020 Nov 19;9(11):102. doi: 10.1038/s41389-020-00286-8.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Lung cancer mortality largely results from metastasis. Despite curative surgery many patients with early-stage non-small cell lung cancer ultimately succumb to metastatic relapse. Current risk reduction strategies based on cytotoxic chemotherapy and radiation have only modest activity. Against this background, we functionally screened for novel metastasis modulators using a barcoded shRNA library and an orthotopic lung cancer model. We identified aryl hydrocarbon receptor (AHR), a sensor of xenobiotic chemicals and transcription factor, as suppressor of lung cancer metastasis. Knockdown of endogenous AHR induces epithelial-mesenchymal transition signatures, increases invasiveness of lung cancer cells in vitro and metastasis formation in vivo. Low intratumoral AHR expression associates with inferior outcome of patients with resected lung adenocarcinomas. Mechanistically, AHR triggers ATF4 signaling and represses matrix metalloproteinase activity, both counteracting metastatic programs. These findings link the xenobiotic defense system with control of lung cancer progression. AHR-regulated pathways are promising targets for innovative anti-metastatic strategies.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/33214553/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">33214553</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7677369/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7677369</a> | DOI:<a href=https://doi.org/10.1038/s41389-020-00286-8>10.1038/s41389-020-00286-8</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:33214553</guid>
      <pubDate>Fri, 20 Nov 2020 06:00:00 -0500</pubDate>
      <dc:creator>Silke Nothdurft</dc:creator>
      <dc:creator>Clotilde Thumser-Henner</dc:creator>
      <dc:creator>Frank Breitenbücher</dc:creator>
      <dc:creator>Ross A Okimoto</dc:creator>
      <dc:creator>Madeleine Dorsch</dc:creator>
      <dc:creator>Christiane A Opitz</dc:creator>
      <dc:creator>Ahmed Sadik</dc:creator>
      <dc:creator>Charlotte Esser</dc:creator>
      <dc:creator>Michael Hölzel</dc:creator>
      <dc:creator>Saurabh Asthana</dc:creator>
      <dc:creator>Jan Forster</dc:creator>
      <dc:creator>Daniela Beisser</dc:creator>
      <dc:creator>Sophie Kalmbach</dc:creator>
      <dc:creator>Barbara M Grüner</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Alexander Schramm</dc:creator>
      <dc:creator>Martin Schuler</dc:creator>
      <dc:date>2020-11-20</dc:date>
      <dc:source>Oncogenesis</dc:source>
      <dc:title>Functional screening identifies aryl hydrocarbon receptor as suppressor of lung cancer metastasis</dc:title>
      <dc:identifier>pmid:33214553</dc:identifier>
      <dc:identifier>pmc:PMC7677369</dc:identifier>
      <dc:identifier>doi:10.1038/s41389-020-00286-8</dc:identifier>
    </item>
    <item>
      <title>&lt;em&gt;BRAF&lt;/em&gt; in Lung Cancers: Analysis of Patient Cases Reveals Recurrent &lt;em&gt;BRAF&lt;/em&gt; Mutations, Fusions, Kinase Duplications, and Concurrent Alterations</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/32913992/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>CONCLUSION: This series characterized the frequent occurrence (4.4%) of BRAF alterations in lung cancers. Recurrent BRAF alterations in NSCLC adenocarcinoma are comparable to the frequency of other NSCLC oncogenic drivers, such as ALK, and exceed that of ROS1 or RET. This work supports a broad profiling approach in lung cancers and suggests that non-V600E BRAF alterations represent a subgroup of lung cancers in which targeted therapy should be considered.</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">JCO Precis Oncol. 2018 Apr 19;2:PO.17.00172. doi: 10.1200/PO.17.00172. eCollection 2018.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">PURPOSE: Dabrafenib and trametinib are approved for the management of advanced non-small-cell lung cancers (NSCLCs) that harbor <i>BRAF</i> V600E mutations. Small series and pan-cancer analyses have identified non-V600 alterations as therapeutic targets. We sought to examine a large genomic data set to comprehensively characterize non-V600 B<i>RAF</i> alterations in lung cancer.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">PATIENTS AND METHODS: A total of 23,396 patients with lung cancer provided data to assay with comprehensive genomic profiling. Data were reviewed for predicted pathogenic <i>BRAF</i> base substitutions, short insertions and deletions, copy number changes, and rearrangements.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">RESULTS: Adenocarcinomas represented 65% of the occurrences; NSCLC not otherwise specified (NOS), 15%; squamous cell carcinoma, 12%; and small-cell lung carcinoma, 5%. <i>BRAF</i> was altered in 4.5% (1,048 of 23,396) of all tumors; 37.4% (n = 397) were <i>BRAF</i> V600E, 38% were <i>BRAF</i> non-V600E activating mutations, and 18% were <i>BRAF</i> inactivating. Rearrangements were observed at a frequency of 4.3% and consisted of N-terminal deletions (NTDs; 0.75%), kinase domain duplications (KDDs; 0.75%), and <i>BRAF</i> fusions (2.8%). The fusions involved three recurrent fusion partners: <i>ARMC10</i>, <i>DOCK4,</i> and <i>TRIM24</i>. <i>BRAF</i> V600E was associated with co-occurrence of <i>SETD2</i> alterations, but other <i>BRAF</i> alterations were not and were instead associated with <i>CDKN2A</i>, <i>TP53</i>, and <i>STK11</i> alterations (<i>P</i> &lt; .05). Potential mechanisms of acquired resistance to <i>BRAF</i> V600E inhibition are demonstrated.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">CONCLUSION: This series characterized the frequent occurrence (4.4%) of <i>BRAF</i> alterations in lung cancers. Recurrent <i>BRAF</i> alterations in NSCLC adenocarcinoma are comparable to the frequency of other NSCLC oncogenic drivers, such as <i>ALK</i>, and exceed that of <i>ROS1</i> or <i>RET</i>. This work supports a broad profiling approach in lung cancers and suggests that non-V600E BR<i>AF</i> alterations represent a subgroup of lung cancers in which targeted therapy should be considered.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/32913992/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">32913992</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7446447/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7446447</a> | DOI:<a href=https://doi.org/10.1200/PO.17.00172>10.1200/PO.17.00172</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:32913992</guid>
      <pubDate>Fri, 11 Sep 2020 06:00:00 -0400</pubDate>
      <dc:creator>Yuri Sheikine</dc:creator>
      <dc:creator>Dean Pavlick</dc:creator>
      <dc:creator>Samuel J Klempner</dc:creator>
      <dc:creator>Sally E Trabucco</dc:creator>
      <dc:creator>Jon H Chung</dc:creator>
      <dc:creator>Mark Rosenzweig</dc:creator>
      <dc:creator>Kai Wang</dc:creator>
      <dc:creator>Vamsidhar Velcheti</dc:creator>
      <dc:creator>Garrett M Frampton</dc:creator>
      <dc:creator>Nir Peled</dc:creator>
      <dc:creator>Molly Murray</dc:creator>
      <dc:creator>Young Kwang Chae</dc:creator>
      <dc:creator>Lee A Albacker</dc:creator>
      <dc:creator>Laurie Gay</dc:creator>
      <dc:creator>Hatim Husain</dc:creator>
      <dc:creator>James H Suh</dc:creator>
      <dc:creator>Sherri Z Millis</dc:creator>
      <dc:creator>Venkataprasanth P Reddy</dc:creator>
      <dc:creator>Julia A Elvin</dc:creator>
      <dc:creator>Ryan J Hartmaier</dc:creator>
      <dc:creator>Afshin Dowlati</dc:creator>
      <dc:creator>Phil Stephens</dc:creator>
      <dc:creator>Jeffrey S Ross</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Vincent A Miller</dc:creator>
      <dc:creator>Shridar Ganesan</dc:creator>
      <dc:creator>Alexa B Schrock</dc:creator>
      <dc:creator>Sai-Hong Ignatius Ou</dc:creator>
      <dc:creator>Siraj M Ali</dc:creator>
      <dc:date>2020-09-11</dc:date>
      <dc:source>JCO precision oncology</dc:source>
      <dc:title>&lt;em&gt;BRAF&lt;/em&gt; in Lung Cancers: Analysis of Patient Cases Reveals Recurrent &lt;em&gt;BRAF&lt;/em&gt; Mutations, Fusions, Kinase Duplications, and Concurrent Alterations</dc:title>
      <dc:identifier>pmid:32913992</dc:identifier>
      <dc:identifier>pmc:PMC7446447</dc:identifier>
      <dc:identifier>doi:10.1200/PO.17.00172</dc:identifier>
    </item>
    <item>
      <title>Long non-coding RNA ESCCAL-1 promotes esophageal squamous cell carcinoma by down regulating the negative regulator of APOBEC3G</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/32905814/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>The expression of lncRNA ESCCAL-1 is upregulated in esophageal squamous cell carcinoma (ESCC). However, the molecular pathways regulated by ESCCAL-1 in esophageal cancer remain obscure. We found that high expression of the lncRNA ESCCAL-1 in human ESCC tumors correlated with worse clinicopathologic features. Furthermore, depletion of ESCCAL-1 in ESCC models inhibited the cellular processes associated with malignancy, including proliferation, migration and invasion, resistance to apoptosis, and...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cancer Lett. 2020 Nov 28;493:217-227. doi: 10.1016/j.canlet.2020.09.001. Epub 2020 Sep 6.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">The expression of lncRNA ESCCAL-1 is upregulated in esophageal squamous cell carcinoma (ESCC). However, the molecular pathways regulated by ESCCAL-1 in esophageal cancer remain obscure. We found that high expression of the lncRNA ESCCAL-1 in human ESCC tumors correlated with worse clinicopathologic features. Furthermore, depletion of ESCCAL-1 in ESCC models inhibited the cellular processes associated with malignancy, including proliferation, migration and invasion, resistance to apoptosis, and impaired tumor growth in mice. Using a combinatorial approach, we discovered that ESCCAL-1 regulates malignant phenotypes in ESCC by acting as a molecular sponge for miR-590-3p. This interaction prevents miR-590-3p from suppressing APOBEC3G expression. Increased APOBEC3G was also a biomarker of worse clinicopathologic features in human ESCC tumors. Depletion of ESSCAL-1 or APOBEC3G, or overexpression of miR-590-3p resulted in increased apoptosis due to downregulation of the PI3K/Akt signaling. This study demonstrates that the lncRNA ESCCAL-1 promotes malignant features of ESCC by relieving the inhibitory effect of miR-590-3p on APOBEC3G expression and identifies potential biomarkers or therapeutic targets to improve ESCC treatment outcomes.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/32905814/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">32905814</a> | DOI:<a href=https://doi.org/10.1016/j.canlet.2020.09.001>10.1016/j.canlet.2020.09.001</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:32905814</guid>
      <pubDate>Wed, 09 Sep 2020 06:00:00 -0400</pubDate>
      <dc:creator>Jia Liu</dc:creator>
      <dc:creator>Manasi K Mayekar</dc:creator>
      <dc:creator>Wei Wu</dc:creator>
      <dc:creator>Ming Yan</dc:creator>
      <dc:creator>Hongya Guan</dc:creator>
      <dc:creator>Jinwu Wang</dc:creator>
      <dc:creator>Aubhishek Zaman</dc:creator>
      <dc:creator>Yuanbo Cui</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Hani Choudhry</dc:creator>
      <dc:creator>Qinghe Xing</dc:creator>
      <dc:creator>Wei Cao</dc:creator>
      <dc:date>2020-09-09</dc:date>
      <dc:source>Cancer letters</dc:source>
      <dc:title>Long non-coding RNA ESCCAL-1 promotes esophageal squamous cell carcinoma by down regulating the negative regulator of APOBEC3G</dc:title>
      <dc:identifier>pmid:32905814</dc:identifier>
      <dc:identifier>doi:10.1016/j.canlet.2020.09.001</dc:identifier>
    </item>
    <item>
      <title>Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/32822576/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Lung cancer, the leading cause of cancer mortality, exhibits heterogeneity that enables adaptability, limits therapeutic success, and remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) of metastatic lung cancer was performed using 49 clinical biopsies obtained from 30 patients before and during targeted therapy. Over 20,000 cancer and tumor microenvironment (TME) single-cell profiles exposed a rich and dynamic tumor ecosystem. scRNA-seq of cancer cells illuminated targetable...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cell. 2020 Sep 3;182(5):1232-1251.e22. doi: 10.1016/j.cell.2020.07.017. Epub 2020 Aug 20.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Lung cancer, the leading cause of cancer mortality, exhibits heterogeneity that enables adaptability, limits therapeutic success, and remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) of metastatic lung cancer was performed using 49 clinical biopsies obtained from 30 patients before and during targeted therapy. Over 20,000 cancer and tumor microenvironment (TME) single-cell profiles exposed a rich and dynamic tumor ecosystem. scRNA-seq of cancer cells illuminated targetable oncogenes beyond those detected clinically. Cancer cells surviving therapy as residual disease (RD) expressed an alveolar-regenerative cell signature suggesting a therapy-induced primitive cell-state transition, whereas those present at on-therapy progressive disease (PD) upregulated kynurenine, plasminogen, and gap-junction pathways. Active T-lymphocytes and decreased macrophages were present at RD and immunosuppressive cell states characterized PD. Biological features revealed by scRNA-seq were biomarkers of clinical outcomes in independent cohorts. This study highlights how therapy-induced adaptation of the multi-cellular ecosystem of metastatic cancer shapes clinical outcomes.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/32822576/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">32822576</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7484178/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7484178</a> | DOI:<a href=https://doi.org/10.1016/j.cell.2020.07.017>10.1016/j.cell.2020.07.017</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:32822576</guid>
      <pubDate>Sat, 22 Aug 2020 06:00:00 -0400</pubDate>
      <dc:creator>Ashley Maynard</dc:creator>
      <dc:creator>Caroline E McCoach</dc:creator>
      <dc:creator>Julia K Rotow</dc:creator>
      <dc:creator>Lincoln Harris</dc:creator>
      <dc:creator>Franziska Haderk</dc:creator>
      <dc:creator>D Lucas Kerr</dc:creator>
      <dc:creator>Elizabeth A Yu</dc:creator>
      <dc:creator>Erin L Schenk</dc:creator>
      <dc:creator>Weilun Tan</dc:creator>
      <dc:creator>Alexander Zee</dc:creator>
      <dc:creator>Michelle Tan</dc:creator>
      <dc:creator>Philippe Gui</dc:creator>
      <dc:creator>Tasha Lea</dc:creator>
      <dc:creator>Wei Wu</dc:creator>
      <dc:creator>Anatoly Urisman</dc:creator>
      <dc:creator>Kirk Jones</dc:creator>
      <dc:creator>Rene Sit</dc:creator>
      <dc:creator>Pallav K Kolli</dc:creator>
      <dc:creator>Eric Seeley</dc:creator>
      <dc:creator>Yaron Gesthalter</dc:creator>
      <dc:creator>Daniel D Le</dc:creator>
      <dc:creator>Kevin A Yamauchi</dc:creator>
      <dc:creator>David M Naeger</dc:creator>
      <dc:creator>Sourav Bandyopadhyay</dc:creator>
      <dc:creator>Khyati Shah</dc:creator>
      <dc:creator>Lauren Cech</dc:creator>
      <dc:creator>Nicholas J Thomas</dc:creator>
      <dc:creator>Anshal Gupta</dc:creator>
      <dc:creator>Mayra Gonzalez</dc:creator>
      <dc:creator>Hien Do</dc:creator>
      <dc:creator>Lisa Tan</dc:creator>
      <dc:creator>Bianca Bacaltos</dc:creator>
      <dc:creator>Rafael Gomez-Sjoberg</dc:creator>
      <dc:creator>Matthew Gubens</dc:creator>
      <dc:creator>Thierry Jahan</dc:creator>
      <dc:creator>Johannes R Kratz</dc:creator>
      <dc:creator>David Jablons</dc:creator>
      <dc:creator>Norma Neff</dc:creator>
      <dc:creator>Robert C Doebele</dc:creator>
      <dc:creator>Jonathan Weissman</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:creator>Spyros Darmanis</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2020-08-22</dc:date>
      <dc:source>Cell</dc:source>
      <dc:title>Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing</dc:title>
      <dc:identifier>pmid:32822576</dc:identifier>
      <dc:identifier>pmc:PMC7484178</dc:identifier>
      <dc:identifier>doi:10.1016/j.cell.2020.07.017</dc:identifier>
    </item>
    <item>
      <title>Multi-faceted epigenetic dysregulation of gene expression promotes esophageal squamous cell carcinoma</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/32699215/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Epigenetic landscapes can shape physiologic and disease phenotypes. We used integrative, high resolution multi-omics methods to delineate the methylome landscape and characterize the oncogenic drivers of esophageal squamous cell carcinoma (ESCC). We found 98% of CpGs are hypomethylated across the ESCC genome. Hypo-methylated regions are enriched in areas with heterochromatin binding markers (H3K9me3, H3K27me3), while hyper-methylated regions are enriched in polycomb repressive complex...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Nat Commun. 2020 Jul 22;11(1):3675. doi: 10.1038/s41467-020-17227-z.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Epigenetic landscapes can shape physiologic and disease phenotypes. We used integrative, high resolution multi-omics methods to delineate the methylome landscape and characterize the oncogenic drivers of esophageal squamous cell carcinoma (ESCC). We found 98% of CpGs are hypomethylated across the ESCC genome. Hypo-methylated regions are enriched in areas with heterochromatin binding markers (H3K9me3, H3K27me3), while hyper-methylated regions are enriched in polycomb repressive complex (EZH2/SUZ12) recognizing regions. Altered methylation in promoters, enhancers, and gene bodies, as well as in polycomb repressive complex occupancy and CTCF binding sites are associated with cancer-specific gene dysregulation. Epigenetic-mediated activation of non-canonical WNT/β-catenin/MMP signaling and a YY1/lncRNA ESCCAL-1/ribosomal protein network are uncovered and validated as potential novel ESCC driver alterations. This study advances our understanding of how epigenetic landscapes shape cancer pathogenesis and provides a resource for biomarker and target discovery.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/32699215/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">32699215</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7376194/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7376194</a> | DOI:<a href=https://doi.org/10.1038/s41467-020-17227-z>10.1038/s41467-020-17227-z</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:32699215</guid>
      <pubDate>Fri, 24 Jul 2020 06:00:00 -0400</pubDate>
      <dc:creator>Wei Cao</dc:creator>
      <dc:creator>Hayan Lee</dc:creator>
      <dc:creator>Wei Wu</dc:creator>
      <dc:creator>Aubhishek Zaman</dc:creator>
      <dc:creator>Sean McCorkle</dc:creator>
      <dc:creator>Ming Yan</dc:creator>
      <dc:creator>Justin Chen</dc:creator>
      <dc:creator>Qinghe Xing</dc:creator>
      <dc:creator>Nasa Sinnott-Armstrong</dc:creator>
      <dc:creator>Hongen Xu</dc:creator>
      <dc:creator>M Reza Sailani</dc:creator>
      <dc:creator>Wenxue Tang</dc:creator>
      <dc:creator>Yuanbo Cui</dc:creator>
      <dc:creator>Jia Liu</dc:creator>
      <dc:creator>Hongyan Guan</dc:creator>
      <dc:creator>Pengju Lv</dc:creator>
      <dc:creator>Xiaoyan Sun</dc:creator>
      <dc:creator>Lei Sun</dc:creator>
      <dc:creator>Pengli Han</dc:creator>
      <dc:creator>Yanan Lou</dc:creator>
      <dc:creator>Jing Chang</dc:creator>
      <dc:creator>Jinwu Wang</dc:creator>
      <dc:creator>Yuchi Gao</dc:creator>
      <dc:creator>Jiancheng Guo</dc:creator>
      <dc:creator>Gundolf Schenk</dc:creator>
      <dc:creator>Alan Hunter Shain</dc:creator>
      <dc:creator>Fred G Biddle</dc:creator>
      <dc:creator>Eric Collisson</dc:creator>
      <dc:creator>Michael Snyder</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2020-07-24</dc:date>
      <dc:source>Nature communications</dc:source>
      <dc:title>Multi-faceted epigenetic dysregulation of gene expression promotes esophageal squamous cell carcinoma</dc:title>
      <dc:identifier>pmid:32699215</dc:identifier>
      <dc:identifier>pmc:PMC7376194</dc:identifier>
      <dc:identifier>doi:10.1038/s41467-020-17227-z</dc:identifier>
    </item>
    <item>
      <title>EGFR targeted therapy resistance: current status, challenges, and future outlook</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/32642197/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>No abstract</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Thorac Dis. 2020 May;12(5):2849-2850. doi: 10.21037/jtd.2020.04.08.</p><p><b>NO ABSTRACT</b></p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/32642197/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">32642197</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7330318/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7330318</a> | DOI:<a href=https://doi.org/10.21037/jtd.2020.04.08>10.21037/jtd.2020.04.08</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:32642197</guid>
      <pubDate>Fri, 10 Jul 2020 06:00:00 -0400</pubDate>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2020-07-10</dc:date>
      <dc:source>Journal of thoracic disease</dc:source>
      <dc:title>EGFR targeted therapy resistance: current status, challenges, and future outlook</dc:title>
      <dc:identifier>pmid:32642197</dc:identifier>
      <dc:identifier>pmc:PMC7330318</dc:identifier>
      <dc:identifier>doi:10.21037/jtd.2020.04.08</dc:identifier>
    </item>
    <item>
      <title>Molecular Landscape of BRAF-Mutant NSCLC Reveals an Association Between Clonality and Driver Mutations and Identifies Targetable Non-V600 Driver Mutations</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/32540409/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>CONCLUSIONS: In BRAF-mutant NSCLC, clonality is higher in known functional mutations and may allow identification of variants of unknown significance that are more likely to be oncogenic drivers. Our data indicate that certain non-V600 mutations are responsive to MEK and BRAF inhibitors. This integration of genomic profiling and drug sensitivity may guide the treatment for BRAF-mutant NSCLC.</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Thorac Oncol. 2020 Oct;15(10):1611-1623. doi: 10.1016/j.jtho.2020.05.021. Epub 2020 Jun 13.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">INTRODUCTION: Approximately 4% of NSCLC harbor BRAF mutations, and approximately 50% of these are non-V600 mutations. Treatment of tumors harboring non-V600 mutations is challenging because of functional heterogeneity and lack of knowledge regarding their clinical significance and response to targeted agents.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">METHODS: We conducted an integrative analysis of BRAF non-V600 mutations using genomic profiles of BRAF-mutant NSCLC from the Guardant360 database. BRAF mutations were categorized by clonality and class (1 and 2: RAS-independent; 3: RAS-dependent). Cell viability assays were performed in Ba/F3 models. Drug screens were performed in NSCLC cell lines.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">RESULTS: A total of 305 unique BRAF mutations were identified. Missense mutations were most common (276, 90%), and 45% were variants of unknown significance. F468S and N581Y were identified as novel activating mutations. Class 1 to 3 mutations had higher clonality than mutations of unknown class (p &lt; 0.01). Three patients were treated with MEK with or without BRAF inhibitors. Patients harboring G469V and D594G mutations did not respond, whereas a patient with the L597R mutation had a durable response. Trametinib with or without dabrafenib, LXH254, and lifirafenib had more potent inhibition of BRAF non-V600-mutant NSCLC cell lines than other MEK, BRAF, and ERK inhibitors, comparable with the inhibition of BRAF V600E cell line.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">CONCLUSIONS: In BRAF-mutant NSCLC, clonality is higher in known functional mutations and may allow identification of variants of unknown significance that are more likely to be oncogenic drivers. Our data indicate that certain non-V600 mutations are responsive to MEK and BRAF inhibitors. This integration of genomic profiling and drug sensitivity may guide the treatment for BRAF-mutant NSCLC.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/32540409/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">32540409</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7529990/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7529990</a> | DOI:<a href=https://doi.org/10.1016/j.jtho.2020.05.021>10.1016/j.jtho.2020.05.021</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:32540409</guid>
      <pubDate>Wed, 17 Jun 2020 06:00:00 -0400</pubDate>
      <dc:creator>Marcelo V Negrao</dc:creator>
      <dc:creator>Victoria M Raymond</dc:creator>
      <dc:creator>Richard B Lanman</dc:creator>
      <dc:creator>Jacqulyne P Robichaux</dc:creator>
      <dc:creator>Junqin He</dc:creator>
      <dc:creator>Monique B Nilsson</dc:creator>
      <dc:creator>Patrick K S Ng</dc:creator>
      <dc:creator>Bianca E Amador</dc:creator>
      <dc:creator>Emily B Roarty</dc:creator>
      <dc:creator>Rebecca J Nagy</dc:creator>
      <dc:creator>Kimberly C Banks</dc:creator>
      <dc:creator>Viola W Zhu</dc:creator>
      <dc:creator>Chun Ng</dc:creator>
      <dc:creator>Young Kwang Chae</dc:creator>
      <dc:creator>Jeffrey M Clarke</dc:creator>
      <dc:creator>Jeffrey A Crawford</dc:creator>
      <dc:creator>Funda Meric-Bernstam</dc:creator>
      <dc:creator>Sai-Hong Ignatius Ou</dc:creator>
      <dc:creator>David R Gandara</dc:creator>
      <dc:creator>John V Heymach</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Caroline E McCoach</dc:creator>
      <dc:date>2020-06-17</dc:date>
      <dc:source>Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer</dc:source>
      <dc:title>Molecular Landscape of BRAF-Mutant NSCLC Reveals an Association Between Clonality and Driver Mutations and Identifies Targetable Non-V600 Driver Mutations</dc:title>
      <dc:identifier>pmid:32540409</dc:identifier>
      <dc:identifier>pmc:PMC7529990</dc:identifier>
      <dc:identifier>doi:10.1016/j.jtho.2020.05.021</dc:identifier>
    </item>
    <item>
      <title>Overcoming the challenges of cancer drug resistance through bacterial-mediated therapy</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/32055785/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Despite tremendous efforts to fight cancer, it remains a major public health problem and a leading cause of death worldwide. With increased knowledge of cancer pathways and improved technological platforms, precision therapeutics that specifically target aberrant cancer pathways have improved patient outcomes. Nevertheless, a primary cause of unsuccessful cancer therapy remains cancer drug resistance. In this review, we summarize the broad classes of resistance to cancer therapy, particularly...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Chronic Dis Transl Med. 2020 Jan 8;5(4):258-266. doi: 10.1016/j.cdtm.2019.11.001. eCollection 2019 Dec.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Despite tremendous efforts to fight cancer, it remains a major public health problem and a leading cause of death worldwide. With increased knowledge of cancer pathways and improved technological platforms, precision therapeutics that specifically target aberrant cancer pathways have improved patient outcomes. Nevertheless, a primary cause of unsuccessful cancer therapy remains cancer drug resistance. In this review, we summarize the broad classes of resistance to cancer therapy, particularly pharmacokinetics, the tumor microenvironment, and drug resistance mechanisms. Furthermore, we describe how bacterial-mediated cancer therapy, a bygone mode of treatment, has been revitalized by synthetic biology and is uniquely suited to address the primary resistance mechanisms that confound traditional therapies. Through genetic engineering, we discuss how bacteria can be potent anticancer agents given their tumor targeting potential, anti-tumor activity, safety, and coordinated delivery of anti-cancer drugs.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/32055785/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">32055785</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7004931/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7004931</a> | DOI:<a href=https://doi.org/10.1016/j.cdtm.2019.11.001>10.1016/j.cdtm.2019.11.001</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:32055785</guid>
      <pubDate>Sat, 15 Feb 2020 06:00:00 -0500</pubDate>
      <dc:creator>Amin Zargar</dc:creator>
      <dc:creator>Samantha Chang</dc:creator>
      <dc:creator>Ankita Kothari</dc:creator>
      <dc:creator>Antoine M Snijders</dc:creator>
      <dc:creator>Jian-Hua Mao</dc:creator>
      <dc:creator>Jessica Wang</dc:creator>
      <dc:creator>Amanda C Hernández</dc:creator>
      <dc:creator>Jay D Keasling</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2020-02-15</dc:date>
      <dc:source>Chronic diseases and translational medicine</dc:source>
      <dc:title>Overcoming the challenges of cancer drug resistance through bacterial-mediated therapy</dc:title>
      <dc:identifier>pmid:32055785</dc:identifier>
      <dc:identifier>pmc:PMC7004931</dc:identifier>
      <dc:identifier>doi:10.1016/j.cdtm.2019.11.001</dc:identifier>
    </item>
    <item>
      <title>AXL Targeting Abrogates Autophagic Flux and Induces Immunogenic Cell Death in Drug-Resistant Cancer Cells</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/32018052/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>CONCLUSION: Our results indicate that AXL signaling supports a drug-resistant persister cell phenotype through a novel autophagy-dependent mechanism and reveals a unique immunogenic effect of AXL inhibition on drug-resistant NSCLC cells.</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Thorac Oncol. 2020 Jun;15(6):973-999. doi: 10.1016/j.jtho.2020.01.015. Epub 2020 Feb 1.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">INTRODUCTION: Acquired cancer therapy resistance evolves under selection pressure of immune surveillance and favors mechanisms that promote drug resistance through cell survival and immune evasion. AXL receptor tyrosine kinase is a mediator of cancer cell phenotypic plasticity and suppression of tumor immunity, and AXL expression is associated with drug resistance and diminished long-term survival in a wide range of malignancies, including NSCLC.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">METHODS: We aimed to investigate the mechanisms underlying AXL-mediated acquired resistance to first- and third-generation small molecule EGFR tyrosine kinase inhibitors (EGFRi) in NSCLC.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">RESULTS: We found that EGFRi resistance was mediated by up-regulation of AXL, and targeting AXL reduced reactivation of the MAPK pathway and blocked onset of acquired resistance to long-term EGFRi treatment in vivo. AXL-expressing EGFRi-resistant cells revealed phenotypic and cell signaling heterogeneity incompatible with a simple bypass signaling mechanism, and were characterized by an increased autophagic flux. AXL kinase inhibition by the small molecule inhibitor bemcentinib or siRNA mediated AXL gene silencing was reported to inhibit the autophagic flux in vitro, bemcentinib treatment blocked clonogenicity and induced immunogenic cell death in drug-resistant NSCLC in vitro, and abrogated the transcription of autophagy-associated genes in vivo. Furthermore, we found a positive correlation between AXL expression and autophagy-associated gene signatures in a large cohort of human NSCLC (n = 1018).</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">CONCLUSION: Our results indicate that AXL signaling supports a drug-resistant persister cell phenotype through a novel autophagy-dependent mechanism and reveals a unique immunogenic effect of AXL inhibition on drug-resistant NSCLC cells.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/32018052/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">32018052</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7397559/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7397559</a> | DOI:<a href=https://doi.org/10.1016/j.jtho.2020.01.015>10.1016/j.jtho.2020.01.015</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:32018052</guid>
      <pubDate>Wed, 05 Feb 2020 06:00:00 -0500</pubDate>
      <dc:creator>Maria L Lotsberg</dc:creator>
      <dc:creator>Katarzyna Wnuk-Lipinska</dc:creator>
      <dc:creator>Stéphane Terry</dc:creator>
      <dc:creator>Tuan Zea Tan</dc:creator>
      <dc:creator>Ning Lu</dc:creator>
      <dc:creator>Laura Trachsel-Moncho</dc:creator>
      <dc:creator>Gro V Røsland</dc:creator>
      <dc:creator>Muntequa I Siraji</dc:creator>
      <dc:creator>Monica Hellesøy</dc:creator>
      <dc:creator>Austin Rayford</dc:creator>
      <dc:creator>Kirstine Jacobsen</dc:creator>
      <dc:creator>Henrik J Ditzel</dc:creator>
      <dc:creator>Olav K Vintermyr</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>John Minna</dc:creator>
      <dc:creator>Rolf A Brekken</dc:creator>
      <dc:creator>Bruce Baguley</dc:creator>
      <dc:creator>David Micklem</dc:creator>
      <dc:creator>Lars A Akslen</dc:creator>
      <dc:creator>Gro Gausdal</dc:creator>
      <dc:creator>Anne Simonsen</dc:creator>
      <dc:creator>Jean Paul Thiery</dc:creator>
      <dc:creator>Salem Chouaib</dc:creator>
      <dc:creator>James B Lorens</dc:creator>
      <dc:creator>Agnete Svendsen Tenfjord Engelsen</dc:creator>
      <dc:date>2020-02-05</dc:date>
      <dc:source>Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer</dc:source>
      <dc:title>AXL Targeting Abrogates Autophagic Flux and Induces Immunogenic Cell Death in Drug-Resistant Cancer Cells</dc:title>
      <dc:identifier>pmid:32018052</dc:identifier>
      <dc:identifier>pmc:PMC7397559</dc:identifier>
      <dc:identifier>doi:10.1016/j.jtho.2020.01.015</dc:identifier>
    </item>
    <item>
      <title>Betacellulin drives therapy resistance in glioblastoma</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/31678994/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>CONCLUSION: These data reveal a feedback loop among STAT3, EGFR, and NF-κB that mediates primary resistance to STAT3 blockade and suggest strategies for therapeutic intervention.</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Neuro Oncol. 2020 Apr 15;22(4):457-469. doi: 10.1093/neuonc/noz206.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">BACKGROUND: The transcription factor signal transducer and activator of transcription 3 (STAT3) drives progression in glioblastoma (GBM), suggesting STAT3 as a therapeutic target. Surprisingly however, GBM cells generally show primary resistance to STAT3 blockade.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">METHODS: Human glioblastoma cell lines LN229, U87, SF767, and U373, and patient-derived xenografts (PDXs) GBM8 and GBM43 were used to evaluate epidermal growth factor receptor (EGFR) activation during STAT3 inhibition. Protein and gene expression experiments, protein stability assays, cytokine arrays, phospho-tyrosine arrays and EGFR-ligand protein arrays were performed on STAT3 inhibitor-treated cells. To evaluate antitumor activity, we administered a betacellulin (BTC)-neutralizing antibody alone and in combination with STAT3 inhibition. BTC is an EGFR ligand. We therefore treated mice with orthotopic xenografts using the third-generation EGFR inhibitor osimertinib, with or without STAT3 knockdown.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">RESULTS: We demonstrate that both small-molecule inhibitors and knockdown of STAT3 led to expression and secretion of the EGFR ligand BTC, resulting in activation of EGFR and subsequent downstream phosphorylation of nuclear factor-kappaB (NF-κB). Neutralizing antibody against BTC abrogated activation of both EGFR and NF-κB in response to inhibition of STAT3; with combinatorial blockade of STAT3 and BTC inducing apoptosis in GBM cells. Blocking EGFR and STAT3 together inhibited tumor growth, improving survival in mice bearing orthotopic GBM PDXs in vivo.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">CONCLUSION: These data reveal a feedback loop among STAT3, EGFR, and NF-κB that mediates primary resistance to STAT3 blockade and suggest strategies for therapeutic intervention.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/31678994/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">31678994</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC7158663/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC7158663</a> | DOI:<a href=https://doi.org/10.1093/neuonc/noz206>10.1093/neuonc/noz206</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:31678994</guid>
      <pubDate>Mon, 04 Nov 2019 06:00:00 -0500</pubDate>
      <dc:creator>Qiwen Fan</dc:creator>
      <dc:creator>Zhenyi An</dc:creator>
      <dc:creator>Robyn A Wong</dc:creator>
      <dc:creator>Xujun Luo</dc:creator>
      <dc:creator>Edbert D Lu</dc:creator>
      <dc:creator>Albert Baldwin</dc:creator>
      <dc:creator>Manasi K Mayekar</dc:creator>
      <dc:creator>Franziska Haderk</dc:creator>
      <dc:creator>Kevan M Shokat</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>William A Weiss</dc:creator>
      <dc:date>2019-11-04</dc:date>
      <dc:source>Neuro-oncology</dc:source>
      <dc:title>Betacellulin drives therapy resistance in glioblastoma</dc:title>
      <dc:identifier>pmid:31678994</dc:identifier>
      <dc:identifier>pmc:PMC7158663</dc:identifier>
      <dc:identifier>doi:10.1093/neuonc/noz206</dc:identifier>
    </item>
    <item>
      <title>Co-occurring Alterations in the RAS-MAPK Pathway Limit Response to MET Inhibitor Treatment in MET Exon 14 Skipping Mutation-Positive Lung Cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/31548343/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>CONCLUSIONS: Our study provides a genomic landscape of co-occurring alterations in advanced-stage METex14-mutated NSCLC and suggests a potential combination therapy strategy targeting MAPK pathway signaling to enhance clinical outcomes.</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Clin Cancer Res. 2020 Jan 15;26(2):439-449. doi: 10.1158/1078-0432.CCR-19-1667. Epub 2019 Sep 23.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">PURPOSE: Although patients with advanced-stage non-small cell lung cancers (NSCLC) harboring <i>MET</i> exon 14 skipping mutations (<i>MET</i>ex14) often benefit from MET tyrosine kinase inhibitor (TKI) treatment, clinical benefit is limited by primary and acquired drug resistance. The molecular basis for this resistance remains incompletely understood.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">EXPERIMENTAL DESIGN: Targeted sequencing analysis was performed on cell-free circulating tumor DNA obtained from 289 patients with advanced-stage <i>MET</i>ex14-mutated NSCLC.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">RESULTS: Prominent co-occurring RAS-MAPK pathway gene alterations (e.g., in <i>KRAS, NF1</i>) were detected in NSCLCs with <i>MET</i>ex14 skipping alterations as compared with <i>EGFR</i>-mutated NSCLCs. There was an association between decreased MET TKI treatment response and RAS-MAPK pathway co-occurring alterations. In a preclinical model expressing a canonical <i>MET</i>ex14 mutation, KRAS overexpression or NF1 downregulation hyperactivated MAPK signaling to promote MET TKI resistance. This resistance was overcome by cotreatment with crizotinib and the MEK inhibitor trametinib.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">CONCLUSIONS: Our study provides a genomic landscape of co-occurring alterations in advanced-stage <i>MET</i>ex14-mutated NSCLC and suggests a potential combination therapy strategy targeting MAPK pathway signaling to enhance clinical outcomes.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/31548343/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">31548343</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6980768/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6980768</a> | DOI:<a href=https://doi.org/10.1158/1078-0432.CCR-19-1667>10.1158/1078-0432.CCR-19-1667</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:31548343</guid>
      <pubDate>Wed, 25 Sep 2019 06:00:00 -0400</pubDate>
      <dc:creator>Julia K Rotow</dc:creator>
      <dc:creator>Philippe Gui</dc:creator>
      <dc:creator>Wei Wu</dc:creator>
      <dc:creator>Victoria M Raymond</dc:creator>
      <dc:creator>Richard B Lanman</dc:creator>
      <dc:creator>Frederic J Kaye</dc:creator>
      <dc:creator>Nir Peled</dc:creator>
      <dc:creator>Ferran Fece de la Cruz</dc:creator>
      <dc:creator>Brandon Nadres</dc:creator>
      <dc:creator>Ryan B Corcoran</dc:creator>
      <dc:creator>Iwei Yeh</dc:creator>
      <dc:creator>Boris C Bastian</dc:creator>
      <dc:creator>Petr Starostik</dc:creator>
      <dc:creator>Kimberly Newsom</dc:creator>
      <dc:creator>Victor R Olivas</dc:creator>
      <dc:creator>Alexander M Wolff</dc:creator>
      <dc:creator>James S Fraser</dc:creator>
      <dc:creator>Eric A Collisson</dc:creator>
      <dc:creator>Caroline E McCoach</dc:creator>
      <dc:creator>D Ross Camidge</dc:creator>
      <dc:creator>Jose Pacheco</dc:creator>
      <dc:creator>Lyudmila Bazhenova</dc:creator>
      <dc:creator>Tianhong Li</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:date>2019-09-25</dc:date>
      <dc:source>Clinical cancer research : an official journal of the American Association for Cancer Research</dc:source>
      <dc:title>Co-occurring Alterations in the RAS-MAPK Pathway Limit Response to MET Inhibitor Treatment in MET Exon 14 Skipping Mutation-Positive Lung Cancer</dc:title>
      <dc:identifier>pmid:31548343</dc:identifier>
      <dc:identifier>pmc:PMC6980768</dc:identifier>
      <dc:identifier>doi:10.1158/1078-0432.CCR-19-1667</dc:identifier>
    </item>
    <item>
      <title>&lt;em&gt;BRAF&lt;/em&gt; Mutations Classes I, II, and III in NSCLC Patients Included in the SLLIP Trial: The Need for a New Pre-Clinical Treatment Rationale</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/31533235/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>BRAF V600 mutations have been found in 1-2% of non-small-cell lung cancer (NSCLC) patients, with Food and Drug Administration (FDA) approved treatment of dabrafenib plus trametinib and progression free survival (PFS) of 10.9 months. However, 50-80% of BRAF mutations in lung cancer are non-V600, and can be class II, with intermediate to high kinase activity and RAS independence, or class III, with impaired kinase activity, upstream signaling dependence, and consequently, sensitivity to receptor...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cancers (Basel). 2019 Sep 17;11(9):1381. doi: 10.3390/cancers11091381.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one"><i>BRAF</i> V600 mutations have been found in 1-2% of non-small-cell lung cancer (NSCLC) patients, with Food and Drug Administration (FDA) approved treatment of dabrafenib plus trametinib and progression free survival (PFS) of 10.9 months. However, 50-80% of <i>BRAF</i> mutations in lung cancer are non-V600, and can be class II, with intermediate to high kinase activity and RAS independence, or class III, with impaired kinase activity, upstream signaling dependence, and consequently, sensitivity to receptor tyrosine kinase (RTK) inhibitors. Plasma cell-free DNA (cfDNA) of 185 newly diagnosed advanced lung adenocarcinoma patients (Spanish Lung Liquid versus Invasive Biopsy Program, SLLIP, NCT03248089) was examined for <i>BRAF</i> and other alterations with a targeted cfDNA next-generation sequencing (NGS) assay (Guardant360®, Guardant Health Inc., CA, USA), and results were correlated with patient outcome. Cell viability with single or combined RAF, MEK, and SHP2 inhibitors was assessed in cell lines with <i>BRAF</i> class I, II, and III mutations. Out of 185 patients, 22 had <i>BRAF</i> alterations (12%) of which seven patients harbored amplifications (32%) and 17 had <i>BRAF</i> mutations (77%). Of the <i>BRAF</i> mutations, four out of 22 (18%) were V600E and 18/22 (82%) were non-V600. In vitro results confirmed sensitivity of class III and resistance of class I and II <i>BRAF</i> mutations, and BRAF wild type cells to SHP2 inhibition. Concomitant MEK or RAF and SHP2 inhibition showed synergistic effects, especially in the class III <i>BRAF</i>-mutant cell line. Our study indicates that the class of the <i>BRAF</i> mutation may have clinical implications and therefore should be defined in the clinical practice and used to guide therapeutic decisions.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/31533235/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">31533235</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6770188/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6770188</a> | DOI:<a href=https://doi.org/10.3390/cancers11091381>10.3390/cancers11091381</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:31533235</guid>
      <pubDate>Fri, 20 Sep 2019 06:00:00 -0400</pubDate>
      <dc:creator>Jillian Wilhelmina Paulina Bracht</dc:creator>
      <dc:creator>Niki Karachaliou</dc:creator>
      <dc:creator>Trever Bivona</dc:creator>
      <dc:creator>Richard B Lanman</dc:creator>
      <dc:creator>Iris Faull</dc:creator>
      <dc:creator>Rebecca J Nagy</dc:creator>
      <dc:creator>Ana Drozdowskyj</dc:creator>
      <dc:creator>Jordi Berenguer</dc:creator>
      <dc:creator>Manuel Fernandez-Bruno</dc:creator>
      <dc:creator>Miguel Angel Molina-Vila</dc:creator>
      <dc:creator>Rafael Rosell</dc:creator>
      <dc:date>2019-09-20</dc:date>
      <dc:source>Cancers</dc:source>
      <dc:title>&lt;em&gt;BRAF&lt;/em&gt; Mutations Classes I, II, and III in NSCLC Patients Included in the SLLIP Trial: The Need for a New Pre-Clinical Treatment Rationale</dc:title>
      <dc:identifier>pmid:31533235</dc:identifier>
      <dc:identifier>pmc:PMC6770188</dc:identifier>
      <dc:identifier>doi:10.3390/cancers11091381</dc:identifier>
    </item>
    <item>
      <title>Synthetic Essentiality of Metabolic Regulator PDHK1 in PTEN-Deficient Cells and Cancers</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/31461649/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Phosphatase and tensin homolog deleted on chromosome 10 (PTEN) is a tumor suppressor and bi-functional lipid and protein phosphatase. We report that the metabolic regulator pyruvate dehydrogenase kinase1 (PDHK1) is a synthetic-essential gene in PTEN-deficient cancer and normal cells. The PTEN protein phosphatase dephosphorylates nuclear factor κB (NF-κB)-activating protein (NKAP) and limits NFκB activation to suppress expression of PDHK1, a NF-κB target gene. Loss of the PTEN protein phosphatase...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cell Rep. 2019 Aug 27;28(9):2317-2330.e8. doi: 10.1016/j.celrep.2019.07.063.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Phosphatase and tensin homolog deleted on chromosome 10 (PTEN) is a tumor suppressor and bi-functional lipid and protein phosphatase. We report that the metabolic regulator pyruvate dehydrogenase kinase1 (PDHK1) is a synthetic-essential gene in PTEN-deficient cancer and normal cells. The PTEN protein phosphatase dephosphorylates nuclear factor κB (NF-κB)-activating protein (NKAP) and limits NFκB activation to suppress expression of PDHK1, a NF-κB target gene. Loss of the PTEN protein phosphatase upregulates PDHK1 to induce aerobic glycolysis and PDHK1 cellular dependence. PTEN-deficient human tumors harbor increased PDHK1, a biomarker of decreased patient survival. This study uncovers a PTEN-regulated signaling pathway and reveals PDHK1 as a potential target in PTEN-deficient cancers.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/31461649/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">31461649</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6728083/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6728083</a> | DOI:<a href=https://doi.org/10.1016/j.celrep.2019.07.063>10.1016/j.celrep.2019.07.063</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:31461649</guid>
      <pubDate>Thu, 29 Aug 2019 06:00:00 -0400</pubDate>
      <dc:creator>Nilanjana Chatterjee</dc:creator>
      <dc:creator>Evangelos Pazarentzos</dc:creator>
      <dc:creator>Manasi K Mayekar</dc:creator>
      <dc:creator>Philippe Gui</dc:creator>
      <dc:creator>David V Allegakoen</dc:creator>
      <dc:creator>Gorjan Hrustanovic</dc:creator>
      <dc:creator>Victor Olivas</dc:creator>
      <dc:creator>Luping Lin</dc:creator>
      <dc:creator>Erik Verschueren</dc:creator>
      <dc:creator>Jeffrey R Johnson</dc:creator>
      <dc:creator>Matan Hofree</dc:creator>
      <dc:creator>Jenny J Yan</dc:creator>
      <dc:creator>Billy W Newton</dc:creator>
      <dc:creator>John V Dollen</dc:creator>
      <dc:creator>Charles H Earnshaw</dc:creator>
      <dc:creator>Jennifer Flanagan</dc:creator>
      <dc:creator>Elton Chan</dc:creator>
      <dc:creator>Saurabh Asthana</dc:creator>
      <dc:creator>Trey Ideker</dc:creator>
      <dc:creator>Wei Wu</dc:creator>
      <dc:creator>Junji Suzuki</dc:creator>
      <dc:creator>Benjamin A Barad</dc:creator>
      <dc:creator>Yuriy Kirichok</dc:creator>
      <dc:creator>James S Fraser</dc:creator>
      <dc:creator>William A Weiss</dc:creator>
      <dc:creator>Nevan J Krogan</dc:creator>
      <dc:creator>Asmin Tulpule</dc:creator>
      <dc:creator>Amit J Sabnis</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2019-08-29</dc:date>
      <dc:source>Cell reports</dc:source>
      <dc:title>Synthetic Essentiality of Metabolic Regulator PDHK1 in PTEN-Deficient Cells and Cancers</dc:title>
      <dc:identifier>pmid:31461649</dc:identifier>
      <dc:identifier>pmc:PMC6728083</dc:identifier>
      <dc:identifier>doi:10.1016/j.celrep.2019.07.063</dc:identifier>
    </item>
    <item>
      <title>Targeting Oncogenic BRAF: Past, Present, and Future</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/31426419/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Identifying recurrent somatic genetic alterations of, and dependency on, the kinase BRAF has enabled a "precision medicine" paradigm to diagnose and treat BRAF-driven tumors. Although targeted kinase inhibitors against BRAF are effective in a subset of mutant BRAF tumors, resistance to the therapy inevitably emerges. In this review, we discuss BRAF biology, both in wild-type and mutant settings. We discuss the predominant BRAF mutations and we outline therapeutic strategies to block mutant BRAF...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cancers (Basel). 2019 Aug 16;11(8):1197. doi: 10.3390/cancers11081197.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Identifying recurrent somatic genetic alterations of, and dependency on, the kinase BRAF has enabled a "precision medicine" paradigm to diagnose and treat BRAF-driven tumors. Although targeted kinase inhibitors against BRAF are effective in a subset of mutant BRAF tumors, resistance to the therapy inevitably emerges. In this review, we discuss BRAF biology, both in wild-type and mutant settings. We discuss the predominant BRAF mutations and we outline therapeutic strategies to block mutant BRAF and cancer growth. We highlight common mechanistic themes that underpin different classes of resistance mechanisms against BRAF-targeted therapies and discuss tumor heterogeneity and co-occurring molecular alterations as a potential source of therapy resistance. We outline promising therapy approaches to overcome these barriers to the long-term control of BRAF-driven tumors and emphasize how an extensive understanding of these themes can offer more pre-emptive, improved therapeutic strategies.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/31426419/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">31426419</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6721448/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6721448</a> | DOI:<a href=https://doi.org/10.3390/cancers11081197>10.3390/cancers11081197</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:31426419</guid>
      <pubDate>Wed, 21 Aug 2019 06:00:00 -0400</pubDate>
      <dc:creator>Aubhishek Zaman</dc:creator>
      <dc:creator>Wei Wu</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2019-08-21</dc:date>
      <dc:source>Cancers</dc:source>
      <dc:title>Targeting Oncogenic BRAF: Past, Present, and Future</dc:title>
      <dc:identifier>pmid:31426419</dc:identifier>
      <dc:identifier>pmc:PMC6721448</dc:identifier>
      <dc:identifier>doi:10.3390/cancers11081197</dc:identifier>
    </item>
    <item>
      <title>CIC-DUX4 oncoprotein drives sarcoma metastasis and tumorigenesis via distinct regulatory programs</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/31329165/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Transcription factor fusion genes create oncoproteins that drive oncogenesis and represent challenging therapeutic targets. Understanding the molecular targets by which such fusion oncoproteins promote malignancy offers an approach to develop rational treatment strategies to improve clinical outcomes. Capicua-double homeobox 4 (CIC-DUX4) is a transcription factor fusion oncoprotein that defines certain undifferentiated round cell sarcomas with high metastatic propensity and poor clinical...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Clin Invest. 2019 Jul 22;129(8):3401-3406. doi: 10.1172/JCI126366. eCollection 2019 Jul 22.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Transcription factor fusion genes create oncoproteins that drive oncogenesis and represent challenging therapeutic targets. Understanding the molecular targets by which such fusion oncoproteins promote malignancy offers an approach to develop rational treatment strategies to improve clinical outcomes. Capicua-double homeobox 4 (CIC-DUX4) is a transcription factor fusion oncoprotein that defines certain undifferentiated round cell sarcomas with high metastatic propensity and poor clinical outcomes. The molecular targets regulated by the CIC-DUX4 oncoprotein that promote this aggressive malignancy remain largely unknown. We demonstrated that increased expression of ETS variant 4 (ETV4) and cyclin E1 (CCNE1) occurs via neomorphic, direct effects of CIC-DUX4 and drives tumor metastasis and survival, respectively. We uncovered a molecular dependence on the CCNE-CDK2 cell cycle complex that renders CIC-DUX4-expressing tumors sensitive to inhibition of the CCNE-CDK2 complex, suggesting a therapeutic strategy for CIC-DUX4-expressing tumors. Our findings highlight a paradigm of functional diversification of transcriptional repertoires controlled by a genetically aberrant transcriptional regulator, with therapeutic implications.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/31329165/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">31329165</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6668665/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6668665</a> | DOI:<a href=https://doi.org/10.1172/JCI126366>10.1172/JCI126366</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:31329165</guid>
      <pubDate>Tue, 23 Jul 2019 06:00:00 -0400</pubDate>
      <dc:creator>Ross A Okimoto</dc:creator>
      <dc:creator>Wei Wu</dc:creator>
      <dc:creator>Shigeki Nanjo</dc:creator>
      <dc:creator>Victor Olivas</dc:creator>
      <dc:creator>Yone K Lin</dc:creator>
      <dc:creator>Rovingaile Kriska Ponce</dc:creator>
      <dc:creator>Rieko Oyama</dc:creator>
      <dc:creator>Tadashi Kondo</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2019-07-23</dc:date>
      <dc:source>The Journal of clinical investigation</dc:source>
      <dc:title>CIC-DUX4 oncoprotein drives sarcoma metastasis and tumorigenesis via distinct regulatory programs</dc:title>
      <dc:identifier>pmid:31329165</dc:identifier>
      <dc:identifier>pmc:PMC6668665</dc:identifier>
      <dc:identifier>doi:10.1172/JCI126366</dc:identifier>
    </item>
    <item>
      <title>Engineering Multidimensional Evolutionary Forces to Combat Cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30992280/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>With advances in technology and bioinformatics, we are now positioned to view and manage cancer through an evolutionary lens. This perspective is critical as our appreciation for the role of tumor heterogeneity, tumor immune compartment, and tumor microenvironment on cancer pathogenesis and evolution grows. Here, we explore recent knowledge on the evolutionary basis of cancer pathogenesis and progression, viewing tumors as multilineage, multicomponent organisms whose growth is regulated by...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cancer Discov. 2019 May;9(5):587-604. doi: 10.1158/2159-8290.CD-18-1196. Epub 2019 Apr 16.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">With advances in technology and bioinformatics, we are now positioned to view and manage cancer through an evolutionary lens. This perspective is critical as our appreciation for the role of tumor heterogeneity, tumor immune compartment, and tumor microenvironment on cancer pathogenesis and evolution grows. Here, we explore recent knowledge on the evolutionary basis of cancer pathogenesis and progression, viewing tumors as multilineage, multicomponent organisms whose growth is regulated by subcomponent fitness relationships. We propose reconsidering some current tenets of the cancer management paradigm in order to take better advantage of crucial fitness relationships to improve outcomes of patients with cancer. SIGNIFICANCE: Tumor and tumor immune compartment and microenvironment heterogeneity, and their evolution, are critical disease features that affect treatment response. The impact and interplay of these components during treatment are viable targets to improve clinical response. In this article, we consider how tumor cells, the tumor immune compartment and microenvironment, and epigenetic factors interact and also evolve during treatment. We evaluate the convergence of these factors and suggest innovative treatment concepts that leverage evolutionary relationships to limit tumor growth and drug resistance.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30992280/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30992280</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6497542/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6497542</a> | DOI:<a href=https://doi.org/10.1158/2159-8290.CD-18-1196>10.1158/2159-8290.CD-18-1196</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30992280</guid>
      <pubDate>Thu, 18 Apr 2019 06:00:00 -0400</pubDate>
      <dc:creator>Caroline E McCoach</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2019-04-18</dc:date>
      <dc:source>Cancer discovery</dc:source>
      <dc:title>Engineering Multidimensional Evolutionary Forces to Combat Cancer</dc:title>
      <dc:identifier>pmid:30992280</dc:identifier>
      <dc:identifier>pmc:PMC6497542</dc:identifier>
      <dc:identifier>doi:10.1158/2159-8290.CD-18-1196</dc:identifier>
    </item>
    <item>
      <title>Dampening oncogenic RAS signaling</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30898918/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>No abstract</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Science. 2019 Mar 22;363(6433):1280-1281. doi: 10.1126/science.aav6703.</p><p><b>NO ABSTRACT</b></p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30898918/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30898918</a> | DOI:<a href=https://doi.org/10.1126/science.aav6703>10.1126/science.aav6703</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30898918</guid>
      <pubDate>Sat, 23 Mar 2019 06:00:00 -0400</pubDate>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2019-03-23</dc:date>
      <dc:source>Science (New York, N.Y.)</dc:source>
      <dc:title>Dampening oncogenic RAS signaling</dc:title>
      <dc:identifier>pmid:30898918</dc:identifier>
      <dc:identifier>doi:10.1126/science.aav6703</dc:identifier>
    </item>
    <item>
      <title>Polytherapy and Targeted Cancer Drug Resistance</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30898264/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>A current challenge in cancer treatment is drug resistance. Even the most effective therapies often fail to produce a complete and durable tumor response and ultimately give rise to therapy resistance and tumor relapse. However, how resistance arises in cancer remains incompletely understood. While drug resistance in cancer is thought to be driven by irreversible genetic mutations, emerging evidence also implicates reversible proteomic and epigenetic mechanisms in the development of drug...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Trends Cancer. 2019 Mar;5(3):170-182. doi: 10.1016/j.trecan.2019.02.003. Epub 2019 Feb 26.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">A current challenge in cancer treatment is drug resistance. Even the most effective therapies often fail to produce a complete and durable tumor response and ultimately give rise to therapy resistance and tumor relapse. However, how resistance arises in cancer remains incompletely understood. While drug resistance in cancer is thought to be driven by irreversible genetic mutations, emerging evidence also implicates reversible proteomic and epigenetic mechanisms in the development of drug resistance. Tumor microenvironment-mediated mechanisms and tumor heterogeneity can significantly contribute to cancer treatment resistance. Here, we discuss the diverse and dynamic strategies that cancers use to evade drug response, the promise of upfront combination and intermittent therapies and therapy switching in forestalling resistance, and epigenetic reprogramming to combat resistance.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30898264/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30898264</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6446041/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6446041</a> | DOI:<a href=https://doi.org/10.1016/j.trecan.2019.02.003>10.1016/j.trecan.2019.02.003</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30898264</guid>
      <pubDate>Sat, 23 Mar 2019 06:00:00 -0400</pubDate>
      <dc:creator>Nilanjana Chatterjee</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2019-03-23</dc:date>
      <dc:source>Trends in cancer</dc:source>
      <dc:title>Polytherapy and Targeted Cancer Drug Resistance</dc:title>
      <dc:identifier>pmid:30898264</dc:identifier>
      <dc:identifier>pmc:PMC6446041</dc:identifier>
      <dc:identifier>doi:10.1016/j.trecan.2019.02.003</dc:identifier>
    </item>
    <item>
      <title>Emerging Targeted Therapies for the Treatment of Non-small Cell Lung Cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30806814/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>PURPOSE OF REVIEW: Lung cancer remains the leading cause of cancer-related mortality worldwide. Genetic and molecular profiling of non-small cell lung cancer (NSCLC) has led to the discovery of actionable oncogenic driver alterations, which has revolutionized treatment for this disease. This review will move beyond traditional mutational drivers such as EGFR and ALK and will instead focus on emerging targets and the efficacy of new precision therapies.</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Curr Oncol Rep. 2019 Feb 26;21(3):21. doi: 10.1007/s11912-019-0770-x.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">PURPOSE OF REVIEW: Lung cancer remains the leading cause of cancer-related mortality worldwide. Genetic and molecular profiling of non-small cell lung cancer (NSCLC) has led to the discovery of actionable oncogenic driver alterations, which has revolutionized treatment for this disease. This review will move beyond traditional mutational drivers such as EGFR and ALK and will instead focus on emerging targets and the efficacy of new precision therapies.</p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">RECENT FINDINGS: Here, we discuss both established and emerging targeted therapy approaches, as well as ongoing challenges for the treatment of NSCLC patients harboring oncogenic alterations of the following types-gene fusions (ROS1, RET, NTRK), receptor tyrosine kinases (MET amplification and exon 14 mutations and EGFR/HER2 exon 20 insertion mutations), and MAPK signaling (SHP2 and altered BRAF and NF1). The treatment of lung cancer is increasingly biomarker-driven, as patients are selected for targeted agents based on the identification of genetic alterations amenable to inhibition. Our ability to further improve patient outcomes with this precision medicine approach will require continued efforts to identify, characterize, and target lesions driving lung cancer tumorigenesis and progression.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30806814/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30806814</a> | DOI:<a href=https://doi.org/10.1007/s11912-019-0770-x>10.1007/s11912-019-0770-x</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30806814</guid>
      <pubDate>Wed, 27 Feb 2019 06:00:00 -0500</pubDate>
      <dc:creator>Patrick R Halliday</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2019-02-27</dc:date>
      <dc:source>Current oncology reports</dc:source>
      <dc:title>Emerging Targeted Therapies for the Treatment of Non-small Cell Lung Cancer</dc:title>
      <dc:identifier>pmid:30806814</dc:identifier>
      <dc:identifier>doi:10.1007/s11912-019-0770-x</dc:identifier>
    </item>
    <item>
      <title>Principles of Resistance to Targeted Cancer Therapy: Lessons from Basic and Translational Cancer Biology</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30686761/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Identification of the genomic drivers of cancer has led to the clinical development of targeted therapies that strike at the heart of many malignancies. Nonetheless, many cancers outsmart such precision-medicine efforts, and thus therapeutic resistance contributes significantly to cancer mortality. Attempts to understand the basis for resistance in patient samples and laboratory models has yielded two major benefits: one, more effective chemical inhibitors and rational combination therapies are...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Trends Mol Med. 2019 Mar;25(3):185-197. doi: 10.1016/j.molmed.2018.12.009. Epub 2019 Jan 24.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Identification of the genomic drivers of cancer has led to the clinical development of targeted therapies that strike at the heart of many malignancies. Nonetheless, many cancers outsmart such precision-medicine efforts, and thus therapeutic resistance contributes significantly to cancer mortality. Attempts to understand the basis for resistance in patient samples and laboratory models has yielded two major benefits: one, more effective chemical inhibitors and rational combination therapies are now employed to prevent or circumvent resistance pathways; and two, our understanding of how oncogenic mutations drive cancer cell survival and oncogene addiction is deeper and broader, highlighting downstream or parallel cellular programs that shape these phenotypes. This review discusses emerging principles of resistance to therapies targeted against key oncogenic drivers.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30686761/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30686761</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6401263/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6401263</a> | DOI:<a href=https://doi.org/10.1016/j.molmed.2018.12.009>10.1016/j.molmed.2018.12.009</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30686761</guid>
      <pubDate>Tue, 29 Jan 2019 06:00:00 -0500</pubDate>
      <dc:creator>Amit J Sabnis</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2019-01-29</dc:date>
      <dc:source>Trends in molecular medicine</dc:source>
      <dc:title>Principles of Resistance to Targeted Cancer Therapy: Lessons from Basic and Translational Cancer Biology</dc:title>
      <dc:identifier>pmid:30686761</dc:identifier>
      <dc:identifier>pmc:PMC6401263</dc:identifier>
      <dc:identifier>doi:10.1016/j.molmed.2018.12.009</dc:identifier>
    </item>
    <item>
      <title>Use of nonsteroidal anti-inflammatory drugs predicts improved patient survival for &lt;em&gt;PIK3CA&lt;/em&gt;-altered head and neck cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30683736/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>PIK3CA is the most commonly altered oncogene in head and neck squamous cell carcinoma (HNSCC). We evaluated the impact of nonsteroidal anti-inflammatory drugs (NSAIDs) on survival in a PIK3CA-characterized cohort of 266 HNSCC patients and explored the mechanism in relevant preclinical models including patient-derived xenografts. Among subjects with PIK3CA mutations or amplification, regular NSAID use (≥6 mo) conferred markedly prolonged disease-specific survival (DSS; hazard ratio 0.23, P =...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Exp Med. 2019 Feb 4;216(2):419-427. doi: 10.1084/jem.20181936. Epub 2019 Jan 25.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one"><i>PIK3CA</i> is the most commonly altered oncogene in head and neck squamous cell carcinoma (HNSCC). We evaluated the impact of nonsteroidal anti-inflammatory drugs (NSAIDs) on survival in a <i>PIK3CA</i>-characterized cohort of 266 HNSCC patients and explored the mechanism in relevant preclinical models including patient-derived xenografts. Among subjects with <i>PIK3CA</i> mutations or amplification, regular NSAID use (≥6 mo) conferred markedly prolonged disease-specific survival (DSS; hazard ratio 0.23, P = 0.0032, 95% CI 0.09-0.62) and overall survival (OS; hazard ratio 0.31, P = 0.0043, 95% CI 0.14-0.69) compared with nonregular NSAID users. For <i>PIK3CA</i>-altered HNSCC, predicted 5-yr DSS was 72% for NSAID users and 25% for nonusers; predicted 5-yr OS was 78% for regular NSAID users and 45% for nonregular users. <i>PIK3CA</i> mutation predicted sensitivity to NSAIDs in preclinical models in association with increased systemic PGE<sub>2</sub> production. These findings uncover a biologically plausible rationale to implement NSAID therapy in <i>PIK3CA</i>-altered HNSCC.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30683736/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30683736</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6363423/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6363423</a> | DOI:<a href=https://doi.org/10.1084/jem.20181936>10.1084/jem.20181936</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30683736</guid>
      <pubDate>Sun, 27 Jan 2019 06:00:00 -0500</pubDate>
      <dc:creator>Matthew L Hedberg</dc:creator>
      <dc:creator>Noah D Peyser</dc:creator>
      <dc:creator>Julie E Bauman</dc:creator>
      <dc:creator>William E Gooding</dc:creator>
      <dc:creator>Hua Li</dc:creator>
      <dc:creator>Neil E Bhola</dc:creator>
      <dc:creator>Tian Ran Zhu</dc:creator>
      <dc:creator>Yan Zeng</dc:creator>
      <dc:creator>Toni M Brand</dc:creator>
      <dc:creator>Mi-Ok Kim</dc:creator>
      <dc:creator>Richard C K Jordan</dc:creator>
      <dc:creator>Scott VandenBerg</dc:creator>
      <dc:creator>Victor Olivas</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Simion I Chiosea</dc:creator>
      <dc:creator>Lin Wang</dc:creator>
      <dc:creator>Gordon B Mills</dc:creator>
      <dc:creator>Jonas T Johnson</dc:creator>
      <dc:creator>Umamaheswar Duvvuri</dc:creator>
      <dc:creator>Robert L Ferris</dc:creator>
      <dc:creator>Patrick Ha</dc:creator>
      <dc:creator>Daniel E Johnson</dc:creator>
      <dc:creator>Jennifer R Grandis</dc:creator>
      <dc:date>2019-01-27</dc:date>
      <dc:source>The Journal of experimental medicine</dc:source>
      <dc:title>Use of nonsteroidal anti-inflammatory drugs predicts improved patient survival for &lt;em&gt;PIK3CA&lt;/em&gt;-altered head and neck cancer</dc:title>
      <dc:identifier>pmid:30683736</dc:identifier>
      <dc:identifier>pmc:PMC6363423</dc:identifier>
      <dc:identifier>doi:10.1084/jem.20181936</dc:identifier>
    </item>
    <item>
      <title>Circulating tumor DNA analysis in patients with EGFR mutant lung cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30631555/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>No abstract</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Thorac Dis. 2018 Nov;10(Suppl 33):S4061-S4064. doi: 10.21037/jtd.2018.09.106.</p><p><b>NO ABSTRACT</b></p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30631555/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30631555</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6297447/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6297447</a> | DOI:<a href=https://doi.org/10.21037/jtd.2018.09.106>10.21037/jtd.2018.09.106</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30631555</guid>
      <pubDate>Sat, 12 Jan 2019 06:00:00 -0500</pubDate>
      <dc:creator>Shigeki Nanjo</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2019-01-12</dc:date>
      <dc:source>Journal of thoracic disease</dc:source>
      <dc:title>Circulating tumor DNA analysis in patients with EGFR mutant lung cancer</dc:title>
      <dc:identifier>pmid:30631555</dc:identifier>
      <dc:identifier>pmc:PMC6297447</dc:identifier>
      <dc:identifier>doi:10.21037/jtd.2018.09.106</dc:identifier>
    </item>
    <item>
      <title>Immunohistochemistry to Study YAP in Human Tissue Samples</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30565127/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Immunohistochemistry (IHC) analysis of YAP in human tissue samples represents an important means to analyze overall expression levels and subcellular localization of YAP in specimen of interest. As transcriptional coactivator, alterations of YAP levels in the cellular nucleus allow important predictions for YAP activity and transcriptional state of target genes. In the following report, IHC procedures optimized for the detection of YAP in tissue slides of FFPE material are provided. Of note,...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Methods Mol Biol. 2019;1893:89-95. doi: 10.1007/978-1-4939-8910-2_7.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Immunohistochemistry (IHC) analysis of YAP in human tissue samples represents an important means to analyze overall expression levels and subcellular localization of YAP in specimen of interest. As transcriptional coactivator, alterations of YAP levels in the cellular nucleus allow important predictions for YAP activity and transcriptional state of target genes. In the following report, IHC procedures optimized for the detection of YAP in tissue slides of FFPE material are provided. Of note, de-paraffinization and heat-induced antigen retrieval are strictly necessary for successful YAP IHC staining. Further, immunostaining using a labelled polymer-HRP system combined with diaminobenzidine (DAB), as signal-amplifying chromogen, allows strong staining results with minimal unspecific background signal.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30565127/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30565127</a> | DOI:<a href=https://doi.org/10.1007/978-1-4939-8910-2_7>10.1007/978-1-4939-8910-2_7</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30565127</guid>
      <pubDate>Thu, 20 Dec 2018 06:00:00 -0500</pubDate>
      <dc:creator>Franziska Haderk</dc:creator>
      <dc:creator>Victor Olivas</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2018-12-20</dc:date>
      <dc:source>Methods in molecular biology (Clifton, N.J.)</dc:source>
      <dc:title>Immunohistochemistry to Study YAP in Human Tissue Samples</dc:title>
      <dc:identifier>pmid:30565127</dc:identifier>
      <dc:identifier>doi:10.1007/978-1-4939-8910-2_7</dc:identifier>
    </item>
    <item>
      <title>Pathologic Complete Response to Neoadjuvant Crizotinib in a Lung Adenocarcinoma Patient With a MET Exon 14 Skipping Mutation</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30553716/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>No abstract</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Clin Lung Cancer. 2019 Mar;20(2):e137-e141. doi: 10.1016/j.cllc.2018.11.003. Epub 2018 Nov 20.</p><p><b>NO ABSTRACT</b></p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30553716/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30553716</a> | DOI:<a href=https://doi.org/10.1016/j.cllc.2018.11.003>10.1016/j.cllc.2018.11.003</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30553716</guid>
      <pubDate>Mon, 17 Dec 2018 06:00:00 -0500</pubDate>
      <dc:creator>Julia K Rotow</dc:creator>
      <dc:creator>Gavitt A Woodard</dc:creator>
      <dc:creator>Anatoly Urisman</dc:creator>
      <dc:creator>Caroline E McCoach</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Brett M Elicker</dc:creator>
      <dc:creator>David M Jablons</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:date>2018-12-17</dc:date>
      <dc:source>Clinical lung cancer</dc:source>
      <dc:title>Pathologic Complete Response to Neoadjuvant Crizotinib in a Lung Adenocarcinoma Patient With a MET Exon 14 Skipping Mutation</dc:title>
      <dc:identifier>pmid:30553716</dc:identifier>
      <dc:identifier>doi:10.1016/j.cllc.2018.11.003</dc:identifier>
    </item>
    <item>
      <title>Differential Subcellular Localization Regulates Oncogenic Signaling by ROS1 Kinase Fusion Proteins</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30538120/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Chromosomal rearrangements involving receptor tyrosine kinases (RTK) are a clinically relevant oncogenic mechanism in human cancers. These chimeric oncoproteins often contain the C-terminal kinase domain of the RTK joined in cis to various N-terminal, nonkinase fusion partners. The functional role of the N-terminal fusion partner in RTK fusion oncoproteins is poorly understood. Here, we show that distinct N-terminal fusion partners drive differential subcellular localization, which imparts...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cancer Res. 2019 Feb 1;79(3):546-556. doi: 10.1158/0008-5472.CAN-18-1492. Epub 2018 Dec 11.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Chromosomal rearrangements involving receptor tyrosine kinases (RTK) are a clinically relevant oncogenic mechanism in human cancers. These chimeric oncoproteins often contain the C-terminal kinase domain of the RTK joined <i>in cis</i> to various N-terminal, nonkinase fusion partners. The functional role of the N-terminal fusion partner in RTK fusion oncoproteins is poorly understood. Here, we show that distinct N-terminal fusion partners drive differential subcellular localization, which imparts distinct cell signaling and oncogenic properties of different, clinically relevant ROS1 RTK fusion oncoproteins. SDC4-ROS1 and SLC34A2-ROS1 fusion oncoproteins resided on endosomes and activated the MAPK pathway. CD74-ROS1 variants that localized instead to the endoplasmic reticulum (ER) showed compromised activation of MAPK. Forced relocalization of CD74-ROS1 from the ER to endosomes restored MAPK signaling. ROS1 fusion oncoproteins that better activate MAPK formed more aggressive tumors. Thus, differential subcellular localization controlled by the N-terminal fusion partner regulates the oncogenic mechanisms and output of certain RTK fusion oncoproteins. SIGNIFICANCE: ROS1 fusion oncoproteins exhibit differential activation of MAPK signaling according to subcellular localization, with ROS1 fusions localized to endosomes, the strongest activators of MAPK signaling.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30538120/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30538120</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6359944/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6359944</a> | DOI:<a href=https://doi.org/10.1158/0008-5472.CAN-18-1492>10.1158/0008-5472.CAN-18-1492</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30538120</guid>
      <pubDate>Thu, 13 Dec 2018 06:00:00 -0500</pubDate>
      <dc:creator>Dana S Neel</dc:creator>
      <dc:creator>David V Allegakoen</dc:creator>
      <dc:creator>Victor Olivas</dc:creator>
      <dc:creator>Manasi K Mayekar</dc:creator>
      <dc:creator>Golzar Hemmati</dc:creator>
      <dc:creator>Nilanjana Chatterjee</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:creator>Caroline E McCoach</dc:creator>
      <dc:creator>Julia K Rotow</dc:creator>
      <dc:creator>Anh Le</dc:creator>
      <dc:creator>Niki Karachaliou</dc:creator>
      <dc:creator>Rafael Rosell</dc:creator>
      <dc:creator>Jonathan W Riess</dc:creator>
      <dc:creator>Robert Nichols</dc:creator>
      <dc:creator>Robert C Doebele</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2018-12-13</dc:date>
      <dc:source>Cancer research</dc:source>
      <dc:title>Differential Subcellular Localization Regulates Oncogenic Signaling by ROS1 Kinase Fusion Proteins</dc:title>
      <dc:identifier>pmid:30538120</dc:identifier>
      <dc:identifier>pmc:PMC6359944</dc:identifier>
      <dc:identifier>doi:10.1158/0008-5472.CAN-18-1492</dc:identifier>
    </item>
    <item>
      <title>Aurora kinase A drives the evolution of resistance to third-generation EGFR inhibitors in lung cancer</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30478424/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Although targeted therapies often elicit profound initial patient responses, these effects are transient due to residual disease leading to acquired resistance. How tumors transition between drug responsiveness, tolerance and resistance, especially in the absence of preexisting subclones, remains unclear. In epidermal growth factor receptor (EGFR)-mutant lung adenocarcinoma cells, we demonstrate that residual disease and acquired resistance in response to EGFR inhibitors requires Aurora kinase A...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Nat Med. 2019 Jan;25(1):111-118. doi: 10.1038/s41591-018-0264-7. Epub 2018 Nov 26.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Although targeted therapies often elicit profound initial patient responses, these effects are transient due to residual disease leading to acquired resistance. How tumors transition between drug responsiveness, tolerance and resistance, especially in the absence of preexisting subclones, remains unclear. In epidermal growth factor receptor (EGFR)-mutant lung adenocarcinoma cells, we demonstrate that residual disease and acquired resistance in response to EGFR inhibitors requires Aurora kinase A (AURKA) activity. Nongenetic resistance through the activation of AURKA by its coactivator TPX2 emerges in response to chronic EGFR inhibition where it mitigates drug-induced apoptosis. Aurora kinase inhibitors suppress this adaptive survival program, increasing the magnitude and duration of EGFR inhibitor response in preclinical models. Treatment-induced activation of AURKA is associated with resistance to EGFR inhibitors in vitro, in vivo and in most individuals with EGFR-mutant lung adenocarcinoma. These findings delineate a molecular path whereby drug resistance emerges from drug-tolerant cells and unveils a synthetic lethal strategy for enhancing responses to EGFR inhibitors by suppressing AURKA-driven residual disease and acquired resistance.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30478424/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30478424</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6324945/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6324945</a> | DOI:<a href=https://doi.org/10.1038/s41591-018-0264-7>10.1038/s41591-018-0264-7</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30478424</guid>
      <pubDate>Wed, 28 Nov 2018 06:00:00 -0500</pubDate>
      <dc:creator>Khyati N Shah</dc:creator>
      <dc:creator>Roma Bhatt</dc:creator>
      <dc:creator>Julia Rotow</dc:creator>
      <dc:creator>Julia Rohrberg</dc:creator>
      <dc:creator>Victor Olivas</dc:creator>
      <dc:creator>Victoria E Wang</dc:creator>
      <dc:creator>Golzar Hemmati</dc:creator>
      <dc:creator>Maria M Martins</dc:creator>
      <dc:creator>Ashley Maynard</dc:creator>
      <dc:creator>Jonathan Kuhn</dc:creator>
      <dc:creator>Jacqueline Galeas</dc:creator>
      <dc:creator>Hayley J Donnella</dc:creator>
      <dc:creator>Swati Kaushik</dc:creator>
      <dc:creator>Angel Ku</dc:creator>
      <dc:creator>Sophie Dumont</dc:creator>
      <dc:creator>Gregor Krings</dc:creator>
      <dc:creator>Henry J Haringsma</dc:creator>
      <dc:creator>Liliane Robillard</dc:creator>
      <dc:creator>Andrew D Simmons</dc:creator>
      <dc:creator>Thomas C Harding</dc:creator>
      <dc:creator>Frank McCormick</dc:creator>
      <dc:creator>Andrei Goga</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Sourav Bandyopadhyay</dc:creator>
      <dc:date>2018-11-28</dc:date>
      <dc:source>Nature medicine</dc:source>
      <dc:title>Aurora kinase A drives the evolution of resistance to third-generation EGFR inhibitors in lung cancer</dc:title>
      <dc:identifier>pmid:30478424</dc:identifier>
      <dc:identifier>pmc:PMC6324945</dc:identifier>
      <dc:identifier>doi:10.1038/s41591-018-0264-7</dc:identifier>
    </item>
    <item>
      <title>Cancer mutations and targeted drugs can disrupt dynamic signal encoding by the Ras-Erk pathway</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30166458/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>The Ras-Erk (extracellular signal-regulated kinase) pathway encodes information in its dynamics; the duration and frequency of Erk activity can specify distinct cell fates. To enable dynamic encoding, temporal information must be accurately transmitted from the plasma membrane to the nucleus. We used optogenetic profiling to show that both oncogenic B-Raf mutations and B-Raf inhibitors can cause corruption of this transmission, so that short pulses of input Ras activity are distorted into...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Science. 2018 Aug 31;361(6405):eaao3048. doi: 10.1126/science.aao3048.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">The Ras-Erk (extracellular signal-regulated kinase) pathway encodes information in its dynamics; the duration and frequency of Erk activity can specify distinct cell fates. To enable dynamic encoding, temporal information must be accurately transmitted from the plasma membrane to the nucleus. We used optogenetic profiling to show that both oncogenic B-Raf mutations and B-Raf inhibitors can cause corruption of this transmission, so that short pulses of input Ras activity are distorted into abnormally long Erk outputs. These changes can reshape downstream transcription and cell fates, resulting in improper decisions to proliferate. These findings illustrate how altered dynamic signal transmission properties, and not just constitutively increased signaling, can contribute to cell proliferation and perhaps cancer, and how optogenetic profiling can dissect mechanisms of signaling dysfunction in disease.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30166458/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30166458</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6430110/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6430110</a> | DOI:<a href=https://doi.org/10.1126/science.aao3048>10.1126/science.aao3048</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30166458</guid>
      <pubDate>Sat, 01 Sep 2018 06:00:00 -0400</pubDate>
      <dc:creator>L J Bugaj</dc:creator>
      <dc:creator>A J Sabnis</dc:creator>
      <dc:creator>A Mitchell</dc:creator>
      <dc:creator>J E Garbarino</dc:creator>
      <dc:creator>J E Toettcher</dc:creator>
      <dc:creator>T G Bivona</dc:creator>
      <dc:creator>W A Lim</dc:creator>
      <dc:date>2018-09-01</dc:date>
      <dc:source>Science (New York, N.Y.)</dc:source>
      <dc:title>Cancer mutations and targeted drugs can disrupt dynamic signal encoding by the Ras-Erk pathway</dc:title>
      <dc:identifier>pmid:30166458</dc:identifier>
      <dc:identifier>pmc:PMC6430110</dc:identifier>
      <dc:identifier>doi:10.1126/science.aao3048</dc:identifier>
    </item>
    <item>
      <title>Compensatory increases of select proteostasis networks after Hsp70 inhibition in cancer cells</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30131440/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Cancer cells thrive when challenged with proteotoxic stress by inducing components of the protein folding, proteasome, autophagy and unfolded protein response (UPR) pathways. Consequently, specific molecular chaperones have been validated as targets for anti-cancer therapies. For example, inhibition of Hsp70 family proteins (hereafter Hsp70) in rhabdomyosarcoma triggers UPR induction and apoptosis. To define how these cancer cells respond to compromised proteostasis, we compared rhabdomyosarcoma...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Cell Sci. 2018 Sep 5;131(17):jcs217760. doi: 10.1242/jcs.217760.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Cancer cells thrive when challenged with proteotoxic stress by inducing components of the protein folding, proteasome, autophagy and unfolded protein response (UPR) pathways. Consequently, specific molecular chaperones have been validated as targets for anti-cancer therapies. For example, inhibition of Hsp70 family proteins (hereafter Hsp70) in rhabdomyosarcoma triggers UPR induction and apoptosis. To define how these cancer cells respond to compromised proteostasis, we compared rhabdomyosarcoma cells that were sensitive (RMS13) or resistant (RMS13-R) to the Hsp70 inhibitor MAL3-101. We discovered that endoplasmic reticulum-associated degradation (ERAD) and autophagy were activated in RMS13-R cells, suggesting that resistant cells overcome Hsp70 ablation by increasing misfolded protein degradation. Indeed, RMS13-R cells degraded ERAD substrates more rapidly than RMS cells and induced the autophagy pathway. Surprisingly, inhibition of the proteasome or ERAD had no effect on RMS13-R cell survival, but silencing of select autophagy components or treatment with autophagy inhibitors restored MAL3-101 sensitivity and led to apoptosis. These data indicate a route through which cancer cells overcome a chaperone-based therapy, define how cells can adapt to Hsp70 inhibition, and demonstrate the value of combined chaperone and autophagy-based therapies.This article has an associated First Person interview with the first author of the paper.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30131440/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30131440</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6140321/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6140321</a> | DOI:<a href=https://doi.org/10.1242/jcs.217760>10.1242/jcs.217760</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30131440</guid>
      <pubDate>Thu, 23 Aug 2018 06:00:00 -0400</pubDate>
      <dc:creator>Sara Sannino</dc:creator>
      <dc:creator>Christopher J Guerriero</dc:creator>
      <dc:creator>Amit J Sabnis</dc:creator>
      <dc:creator>Donna Beer Stolz</dc:creator>
      <dc:creator>Callen T Wallace</dc:creator>
      <dc:creator>Peter Wipf</dc:creator>
      <dc:creator>Simon C Watkins</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Jeffrey L Brodsky</dc:creator>
      <dc:date>2018-08-23</dc:date>
      <dc:source>Journal of cell science</dc:source>
      <dc:title>Compensatory increases of select proteostasis networks after Hsp70 inhibition in cancer cells</dc:title>
      <dc:identifier>pmid:30131440</dc:identifier>
      <dc:identifier>pmc:PMC6140321</dc:identifier>
      <dc:identifier>doi:10.1242/jcs.217760</dc:identifier>
    </item>
    <item>
      <title>RAS nucleotide cycling underlies the SHP2 phosphatase dependence of mutant BRAF-, NF1- and RAS-driven cancers</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/30104724/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Oncogenic alterations in the RAS/RAF/MEK/ERK pathway drive the growth of a wide spectrum of cancers. While BRAF and MEK inhibitors are efficacious against BRAF^(V600E)-driven cancers, effective targeted therapies are lacking for most cancers driven by other pathway alterations, including non-V600E oncogenic BRAF, RAS GTPase-activating protein (GAP) NF1 (neurofibromin 1) loss and oncogenic KRAS. Here, we show that targeting the SHP2 phosphatase (encoded by PTPN11) with RMC-4550, a small-molecule...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Nat Cell Biol. 2018 Sep;20(9):1064-1073. doi: 10.1038/s41556-018-0169-1. Epub 2018 Aug 13.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Oncogenic alterations in the RAS/RAF/MEK/ERK pathway drive the growth of a wide spectrum of cancers. While BRAF and MEK inhibitors are efficacious against BRAF<sup>V600E</sup>-driven cancers, effective targeted therapies are lacking for most cancers driven by other pathway alterations, including non-V600E oncogenic BRAF, RAS GTPase-activating protein (GAP) NF1 (neurofibromin 1) loss and oncogenic KRAS. Here, we show that targeting the SHP2 phosphatase (encoded by PTPN11) with RMC-4550, a small-molecule allosteric inhibitor, is effective in human cancer models bearing RAS-GTP-dependent oncogenic BRAF (for example, class 3 BRAF mutants), NF1 loss or nucleotide-cycling oncogenic RAS (for example, KRAS<sup>G12C</sup>). SHP2 inhibitor treatment decreases oncogenic RAS/RAF/MEK/ERK signalling and cancer growth by disrupting SOS1-mediated RAS-GTP loading. Our findings illuminate a critical function for SHP2 in promoting oncogenic RAS/MAPK pathway activation in cancers with RAS-GTP-dependent oncogenic BRAF, NF1 loss and nucleotide-cycling oncogenic KRAS. SHP2 inhibition is a promising molecular therapeutic strategy for patients with cancers bearing these oncogenic drivers.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/30104724/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">30104724</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6115280/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6115280</a> | DOI:<a href=https://doi.org/10.1038/s41556-018-0169-1>10.1038/s41556-018-0169-1</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:30104724</guid>
      <pubDate>Wed, 15 Aug 2018 06:00:00 -0400</pubDate>
      <dc:creator>Robert J Nichols</dc:creator>
      <dc:creator>Franziska Haderk</dc:creator>
      <dc:creator>Carlos Stahlhut</dc:creator>
      <dc:creator>Christopher J Schulze</dc:creator>
      <dc:creator>Golzar Hemmati</dc:creator>
      <dc:creator>David Wildes</dc:creator>
      <dc:creator>Christos Tzitzilonis</dc:creator>
      <dc:creator>Kasia Mordec</dc:creator>
      <dc:creator>Abby Marquez</dc:creator>
      <dc:creator>Jason Romero</dc:creator>
      <dc:creator>Tientien Hsieh</dc:creator>
      <dc:creator>Aubhishek Zaman</dc:creator>
      <dc:creator>Victor Olivas</dc:creator>
      <dc:creator>Caroline McCoach</dc:creator>
      <dc:creator>Collin M Blakely</dc:creator>
      <dc:creator>Zhengping Wang</dc:creator>
      <dc:creator>Gert Kiss</dc:creator>
      <dc:creator>Elena S Koltun</dc:creator>
      <dc:creator>Adrian L Gill</dc:creator>
      <dc:creator>Mallika Singh</dc:creator>
      <dc:creator>Mark A Goldsmith</dc:creator>
      <dc:creator>Jacqueline A M Smith</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2018-08-15</dc:date>
      <dc:source>Nature cell biology</dc:source>
      <dc:title>RAS nucleotide cycling underlies the SHP2 phosphatase dependence of mutant BRAF-, NF1- and RAS-driven cancers</dc:title>
      <dc:identifier>pmid:30104724</dc:identifier>
      <dc:identifier>pmc:PMC6115280</dc:identifier>
      <dc:identifier>doi:10.1038/s41556-018-0169-1</dc:identifier>
    </item>
    <item>
      <title>Emerging application of genomics-guided therapeutics in personalized lung cancer treatment</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/29911108/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>In lung cancer, genomics-driven comprehensive molecular profiling has identified novel chemically and immunologically addressable vulnerabilities, resulting in an increasing application of precision medicine by targeted inactivation of tumor oncogenes and immunogenic activation of host anti-tumor surveillance as modes of treatment. However, initially profound response of these targeted therapies is followed by relapse due to therapy-resistant residual disease states. Although distinct mechanisms...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Ann Transl Med. 2018 May;6(9):160. doi: 10.21037/atm.2018.05.02.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">In lung cancer, genomics-driven comprehensive molecular profiling has identified novel chemically and immunologically addressable vulnerabilities, resulting in an increasing application of precision medicine by targeted inactivation of tumor oncogenes and immunogenic activation of host anti-tumor surveillance as modes of treatment. However, initially profound response of these targeted therapies is followed by relapse due to therapy-resistant residual disease states. Although distinct mechanisms and frameworks for therapy resistance have been proposed, accounting for and upfront prediction of resistance trajectories has been challenging. In this review, we discuss in both non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC), the current standing, and challenges associated with genomics-guided strategies for personalized therapy against both oncogenic alterations as well as post-therapy resistance mechanisms. In NSCLC, we catalog the targeted therapy approaches against most notable oncogenic alterations such as epidermal growth factor receptor (EGFR), serine/threonine-protein kinase b-raf (BRAF), Kirsten rat sarcoma viral proto-oncogene (KRAS), anaplastic lymphoma kinase (ALK), ROS1 proto-oncogene receptor tyrosine kinase (ROS1). For SCLC, currently highly recalcitrant to targeted therapy, we enumerate a range of exciting and maturing precision medicine approaches. Furthermore, we discuss a number of immunotherapy approaches, in combination or alone, that are being actively pursued clinically in lung cancer. This review not only highlights common mechanistic themes underpinning different classes of resistance and discusses tumor heterogeneity as a source of residual disease, but also discusses potential ways to overcome these barriers. We emphasize how an extensive understanding of these themes can predict and improve therapeutic strategies, such as through poly-therapy approaches, to forestall tumor evolution upfront.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/29911108/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">29911108</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC5985272/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC5985272</a> | DOI:<a href=https://doi.org/10.21037/atm.2018.05.02>10.21037/atm.2018.05.02</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:29911108</guid>
      <pubDate>Tue, 19 Jun 2018 06:00:00 -0400</pubDate>
      <dc:creator>Aubhishek Zaman</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2018-06-19</dc:date>
      <dc:source>Annals of translational medicine</dc:source>
      <dc:title>Emerging application of genomics-guided therapeutics in personalized lung cancer treatment</dc:title>
      <dc:identifier>pmid:29911108</dc:identifier>
      <dc:identifier>pmc:PMC5985272</dc:identifier>
      <dc:identifier>doi:10.21037/atm.2018.05.02</dc:identifier>
    </item>
    <item>
      <title>Liquid Biopsy for Advanced Non-Small Cell Lung Cancer (NSCLC): A Statement Paper from the IASLC</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/29885479/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>The isolation and analysis of circulating cell-free tumor DNA in plasma is a powerful tool with considerable potential to improve clinical outcomes across multiple cancer types, including NSCLC. Assays of this nature that use blood as opposed to tumor samples are frequently referred to as liquid biopsies. An increasing number of innovative platforms have been recently developed that improve not only the fidelity of the molecular analysis but also the number of tests performed on a single...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Thorac Oncol. 2018 Sep;13(9):1248-1268. doi: 10.1016/j.jtho.2018.05.030. Epub 2018 Jun 6.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">The isolation and analysis of circulating cell-free tumor DNA in plasma is a powerful tool with considerable potential to improve clinical outcomes across multiple cancer types, including NSCLC. Assays of this nature that use blood as opposed to tumor samples are frequently referred to as liquid biopsies. An increasing number of innovative platforms have been recently developed that improve not only the fidelity of the molecular analysis but also the number of tests performed on a single specimen. Circulating tumor DNA assays for detection of both EGFR sensitizing and resistance mutations have already entered clinical practice and many other molecular tests - such as detection of resistance mutations for Anaplastic Lymphoma Kinase (ALK) receptor tyrosine kinase rearrangements - are likely to do so in the near future. Due to an abundance of new evidence, an appraisal was warranted to review strengths and weaknesses, to describe what is already in clinical practice and what has yet to be implemented, and to highlight areas in need of further investigation. A multidisciplinary panel of experts in the field of thoracic oncology with interest and expertise in liquid biopsy and molecular pathology was convened by the International Association for the Study of Lung Cancer to evaluate current available evidence with the aim of producing a set of recommendations for the use of liquid biopsy for molecular analysis in guiding the clinical management of advanced NSCLC patients as well as identifying unmet needs. In summary, the panel concluded that liquid biopsy approaches have significant potential to improve patient care, and immediate implementation in the clinic is justified in a number of therapeutic settings relevant to NSCLC.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/29885479/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">29885479</a> | DOI:<a href=https://doi.org/10.1016/j.jtho.2018.05.030>10.1016/j.jtho.2018.05.030</a></p></div>]]></content:encoded>
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      <pubDate>Sun, 10 Jun 2018 06:00:00 -0400</pubDate>
      <dc:creator>Christian Rolfo</dc:creator>
      <dc:creator>Philip C Mack</dc:creator>
      <dc:creator>Giorgio V Scagliotti</dc:creator>
      <dc:creator>Paul Baas</dc:creator>
      <dc:creator>Fabrice Barlesi</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Roy S Herbst</dc:creator>
      <dc:creator>Tony S Mok</dc:creator>
      <dc:creator>Nir Peled</dc:creator>
      <dc:creator>Robert Pirker</dc:creator>
      <dc:creator>Luis E Raez</dc:creator>
      <dc:creator>Martin Reck</dc:creator>
      <dc:creator>Jonathan W Riess</dc:creator>
      <dc:creator>Lecia V Sequist</dc:creator>
      <dc:creator>Frances A Shepherd</dc:creator>
      <dc:creator>Lynette M Sholl</dc:creator>
      <dc:creator>Daniel S W Tan</dc:creator>
      <dc:creator>Heather A Wakelee</dc:creator>
      <dc:creator>Ignacio I Wistuba</dc:creator>
      <dc:creator>Murry W Wynes</dc:creator>
      <dc:creator>David P Carbone</dc:creator>
      <dc:creator>Fred R Hirsch</dc:creator>
      <dc:creator>David R Gandara</dc:creator>
      <dc:date>2018-06-10</dc:date>
      <dc:source>Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer</dc:source>
      <dc:title>Liquid Biopsy for Advanced Non-Small Cell Lung Cancer (NSCLC): A Statement Paper from the IASLC</dc:title>
      <dc:identifier>pmid:29885479</dc:identifier>
      <dc:identifier>doi:10.1016/j.jtho.2018.05.030</dc:identifier>
    </item>
    <item>
      <title>The evolving understanding of immunoediting and the clinical impact of immune escape</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/29708132/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>No abstract</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">J Thorac Dis. 2018 Mar;10(3):1248-1252. doi: 10.21037/jtd.2018.03.60.</p><p><b>NO ABSTRACT</b></p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/29708132/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">29708132</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC5906217/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC5906217</a> | DOI:<a href=https://doi.org/10.21037/jtd.2018.03.60>10.21037/jtd.2018.03.60</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:29708132</guid>
      <pubDate>Tue, 01 May 2018 06:00:00 -0400</pubDate>
      <dc:creator>Caroline E McCoach</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:date>2018-05-01</dc:date>
      <dc:source>Journal of thoracic disease</dc:source>
      <dc:title>The evolving understanding of immunoediting and the clinical impact of immune escape</dc:title>
      <dc:identifier>pmid:29708132</dc:identifier>
      <dc:identifier>pmc:PMC5906217</dc:identifier>
      <dc:identifier>doi:10.21037/jtd.2018.03.60</dc:identifier>
    </item>
    <item>
      <title>Oncogenic Signaling Pathways in The Cancer Genome Atlas</title>
      <link>https://pubmed.ncbi.nlm.nih.gov/29625050/?utm_source=Other&amp;utm_medium=rss&amp;utm_campaign=None&amp;utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&amp;fc=None&amp;ff=20220524180127&amp;v=2.17.6</link>
      <description>Genetic alterations in signaling pathways that control cell-cycle progression, apoptosis, and cell growth are common hallmarks of cancer, but the extent, mechanisms, and co-occurrence of alterations in these pathways differ between individual tumors and tumor types. Using mutations, copy-number changes, mRNA expression, gene fusions and DNA methylation in 9,125 tumors profiled by The Cancer Genome Atlas (TCGA), we analyzed the mechanisms and patterns of somatic alterations in ten canonical...</description>
      <content:encoded><![CDATA[<div><p style="color: #4aa564;">Cell. 2018 Apr 5;173(2):321-337.e10. doi: 10.1016/j.cell.2018.03.035.</p><p><b>ABSTRACT</b></p><p xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:p1="http://pubmed.gov/pub-one">Genetic alterations in signaling pathways that control cell-cycle progression, apoptosis, and cell growth are common hallmarks of cancer, but the extent, mechanisms, and co-occurrence of alterations in these pathways differ between individual tumors and tumor types. Using mutations, copy-number changes, mRNA expression, gene fusions and DNA methylation in 9,125 tumors profiled by The Cancer Genome Atlas (TCGA), we analyzed the mechanisms and patterns of somatic alterations in ten canonical pathways: cell cycle, Hippo, Myc, Notch, Nrf2, PI-3-Kinase/Akt, RTK-RAS, TGFβ signaling, p53 and β-catenin/Wnt. We charted the detailed landscape of pathway alterations in 33 cancer types, stratified into 64 subtypes, and identified patterns of co-occurrence and mutual exclusivity. Eighty-nine percent of tumors had at least one driver alteration in these pathways, and 57% percent of tumors had at least one alteration potentially targetable by currently available drugs. Thirty percent of tumors had multiple targetable alterations, indicating opportunities for combination therapy.</p><p style="color: lightgray">PMID:<a href="https://pubmed.ncbi.nlm.nih.gov/29625050/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">29625050</a> | PMC:<a href="https://www.ncbi.nlm.nih.gov/pmc/PMC6070353/?utm_source=Other&utm_medium=rss&utm_content=1By6OAXIGa5MUC_u6DLd_gIu0IUfeGy7fWYkNeayVkdvYvJ1NU&ff=20220524180127&v=2.17.6">PMC6070353</a> | DOI:<a href=https://doi.org/10.1016/j.cell.2018.03.035>10.1016/j.cell.2018.03.035</a></p></div>]]></content:encoded>
      <guid isPermaLink="false">pubmed:29625050</guid>
      <pubDate>Sat, 07 Apr 2018 06:00:00 -0400</pubDate>
      <dc:creator>Francisco Sanchez-Vega</dc:creator>
      <dc:creator>Marco Mina</dc:creator>
      <dc:creator>Joshua Armenia</dc:creator>
      <dc:creator>Walid K Chatila</dc:creator>
      <dc:creator>Augustin Luna</dc:creator>
      <dc:creator>Konnor C La</dc:creator>
      <dc:creator>Sofia Dimitriadoy</dc:creator>
      <dc:creator>David L Liu</dc:creator>
      <dc:creator>Havish S Kantheti</dc:creator>
      <dc:creator>Sadegh Saghafinia</dc:creator>
      <dc:creator>Debyani Chakravarty</dc:creator>
      <dc:creator>Foysal Daian</dc:creator>
      <dc:creator>Qingsong Gao</dc:creator>
      <dc:creator>Matthew H Bailey</dc:creator>
      <dc:creator>Wen-Wei Liang</dc:creator>
      <dc:creator>Steven M Foltz</dc:creator>
      <dc:creator>Ilya Shmulevich</dc:creator>
      <dc:creator>Li Ding</dc:creator>
      <dc:creator>Zachary Heins</dc:creator>
      <dc:creator>Angelica Ochoa</dc:creator>
      <dc:creator>Benjamin Gross</dc:creator>
      <dc:creator>Jianjiong Gao</dc:creator>
      <dc:creator>Hongxin Zhang</dc:creator>
      <dc:creator>Ritika Kundra</dc:creator>
      <dc:creator>Cyriac Kandoth</dc:creator>
      <dc:creator>Istemi Bahceci</dc:creator>
      <dc:creator>Leonard Dervishi</dc:creator>
      <dc:creator>Ugur Dogrusoz</dc:creator>
      <dc:creator>Wanding Zhou</dc:creator>
      <dc:creator>Hui Shen</dc:creator>
      <dc:creator>Peter W Laird</dc:creator>
      <dc:creator>Gregory P Way</dc:creator>
      <dc:creator>Casey S Greene</dc:creator>
      <dc:creator>Han Liang</dc:creator>
      <dc:creator>Yonghong Xiao</dc:creator>
      <dc:creator>Chen Wang</dc:creator>
      <dc:creator>Antonio Iavarone</dc:creator>
      <dc:creator>Alice H Berger</dc:creator>
      <dc:creator>Trever G Bivona</dc:creator>
      <dc:creator>Alexander J Lazar</dc:creator>
      <dc:creator>Gary D Hammer</dc:creator>
      <dc:creator>Thomas Giordano</dc:creator>
      <dc:creator>Lawrence N Kwong</dc:creator>
      <dc:creator>Grant McArthur</dc:creator>
      <dc:creator>Chenfei Huang</dc:creator>
      <dc:creator>Aaron D Tward</dc:creator>
      <dc:creator>Mitchell J Frederick</dc:creator>
      <dc:creator>Frank McCormick</dc:creator>
      <dc:creator>Matthew Meyerson</dc:creator>
      <dc:creator>Cancer Genome Atlas Research Network</dc:creator>
      <dc:creator>Eliezer M Van Allen</dc:creator>
      <dc:creator>Andrew D Cherniack</dc:creator>
      <dc:creator>Giovanni Ciriello</dc:creator>
      <dc:creator>Chris Sander</dc:creator>
      <dc:creator>Nikolaus Schultz</dc:creator>
      <dc:date>2018-04-07</dc:date>
      <dc:source>Cell</dc:source>
      <dc:title>Oncogenic Signaling Pathways in The Cancer Genome Atlas</dc:title>
      <dc:identifier>pmid:29625050</dc:identifier>
      <dc:identifier>pmc:PMC6070353</dc:identifier>
      <dc:identifier>doi:10.1016/j.cell.2018.03.035</dc:identifier>
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