268 results on '"Sanja Dacic"'
Search Results
2. Predictive Biomarkers for Immunotherapy in Lung Cancer: Perspective From the International Association for the Study of Lung Cancer Pathology Committee
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Mari, Mino-Kenudson, Kurt, Schalper, Wendy, Cooper, Sanja, Dacic, Fred R, Hirsch, Deepali, Jain, Fernando, Lopez-Rios, Ming Sound, Tsao, Yasushi, Yatabe, Mary Beth, Beasley, Hui, Yu, Lynette M, Sholl, Elizabeth, Brambilla, Teh-Ying, Chou, Casey, Connolly, Ignacio, Wistuba, Keith M, Kerr, and Sylvie, Lantuejoul
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Pulmonary and Respiratory Medicine ,Lung Neoplasms ,Oncology ,Carcinoma, Non-Small-Cell Lung ,Biomarkers, Tumor ,Tumor Microenvironment ,Humans ,Immunotherapy ,B7-H1 Antigen - Abstract
Immunotherapy including immune checkpoint inhibitors (ICIs) has become the backbone of treatment for most lung cancers with advanced or metastatic disease. In addition, they have increasingly been used for early stage tumors in neoadjuvant and adjuvant settings. Unfortunately, however, only a subset of patients experiences meaningful response to ICIs. Although programmed death-ligand 1 (PD-L1) protein expression by immunohistochemistry (IHC) has played a role as the principal predictive biomarker for immunotherapy, its performance may not be optimal, and it suffers multiple practical issues with different companion diagnostic assays approved. Similarly, tumor mutational burden (TMB) has multiple technical issues as a predictive biomarker for ICIs. Now, ongoing research on tumor- and host immune-specific factors has identified immunotherapy biomarkers that may provide better response and prognosis prediction, in particular in a multimodal approach. This review by the International Association for the Study of Lung Cancer Pathology Committee provides an overview of various immunotherapy biomarkers, including updated data on PD-L1 IHC and TMB, and assessments of neoantigens, genetic and epigenetic signatures, immune microenvironment by IHC and transcriptomics, and microbiome and pathologic response to neoadjuvant immunotherapies. The aim of this review is to underline the efficacy of new individual or combined predictive biomarkers beyond PD-L1 IHC and TMB.
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- 2022
3. Pulmonary Pathology Society Survey on Practice Approaches in the Histologic Diagnosis of Fibrotic Interstitial Lung Disease: Consensus and Opportunities
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Maxwell L. Smith, Mari Mino-Kenudson, Richard J. Butterfield, Sanja Dacic, Thomas V. Colby, Andrew Churg, Mary Beth Beasley, and Lida P. Hariri
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Medical Laboratory Technology ,General Medicine ,Pathology and Forensic Medicine - Abstract
Context.— The pathologic diagnosis of usual interstitial pneumonia (UIP) remains a challenging area, and application of histologic UIP guidelines has proved difficult. Objective.— To understand current practice approaches by pulmonary pathologists for the histologic diagnosis of UIP and other fibrotic interstitial lung diseases (ILDs). Design.— The Pulmonary Pathology Society (PPS) ILD Working Group developed and sent a 5-part survey on fibrotic ILD electronically to the PPS membership. Results.— One hundred sixty-one completed surveys were analyzed. Of the respondents, 89% reported using published histologic features in clinical guidelines for idiopathic pulmonary fibrosis (IPF) in their pathologic diagnosis; however, there was variability in reporting terminology, quantity and quality of histologic features, and the use of guideline categorization. Respondents were very likely to have access to pulmonary pathology colleagues (79%), pulmonologists (98%), and radiologists (94%) to discuss cases. Half of respondents reported they may alter their pathologic diagnosis based on additional clinical and radiologic history if it is pertinent. Airway-centered fibrosis, granulomas, and types of inflammatory infiltrates were considered important, but there was poor agreement on how these features are defined. Conclusions.— There is significant consensus among the PPS membership on the importance of histologic guidelines/features of UIP. There are unmet needs for (1) consensus and standardization of diagnostic terminology and incorporation of recommended histopathologic categories from the clinical IPF guidelines into pathology reports, (2) agreement on how to incorporate into the report relevant clinical and radiographic information, and (3) defining the quantity and quality of features needed to suggest alternative diagnoses.
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- 2023
4. Case Report: Complete pathologic response to neoadjuvant selpercatinib in a patient with resectable early-stage RET fusion-positive non-small cell lung cancer
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Jonathan W. Goldman, Lynette M. Sholl, Sanja Dacic, Michael C. Fishbein, Yonina R. Murciano-Goroff, Ravi Rajaram, Sylwia Szymczak, Anna M. Szpurka, Bo H. Chao, and Alexander Drilon
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Cancer Research ,Oncology - Abstract
The LIBRETTO-001 trial demonstrated the activity of the selective rearrangement during transfection (RET) inhibitor selpercatinib in advanced RET fusion-positive non-small cell lung cancer (NSCLC) and resulted in the drug’s approval for this indication. A cohort that included neoadjuvant and adjuvant selpercatinib was opened on LIBRETTO-001 for early-stage RET fusion-positive NSCLC with the primary endpoint of major pathologic response. A patient with a stage IB (cT2aN0M0) KIF5B-RET fusion-positive NSCLC received 8 weeks of neoadjuvant selpercatinib at 160 mg twice daily followed by surgery. While moderate regression in the primary tumor (stable disease, Response Evaluation Criteria in Solid Tumors (RECIST) guidelines version 1.1) was observed radiologically, assessment via an Independent Pathologic Review Committee revealed a pathologic complete response (0% viable tumor). This consensus assessment by three independent pathologists was aided by RET fluorescence in situ hybridization testing of a reactive pneumocyte proliferation showing no rearrangement. Neoadjuvant selpercatinib was well-tolerated with only low-grade treatment-emergent adverse events. The activity of prospective preoperative selpercatinib in this case establishes proof of concept of the potential utility of RET inhibitor therapy in early-stage RET fusion-positive NSCLC.
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- 2023
5. A Combination of MTAP and p16 Immunohistochemistry Can Substitute for CDKN2A Fluorescence In Situ Hybridization in Diagnosis and Prognosis of Pleural Mesotheliomas
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Luka Brcic, Nolwenn Le Stang, Florian Gallob, Daniel Pissaloux, Ruth Sequeiros, Sandrine Paindavoine, Jean Claude Pairon, Marie Karanian, Sanja Dacic, Nicolas Girard, Andrew Churg, Franck Tirode, and Francoise Galateau-Salle
- Subjects
Medical Laboratory Technology ,General Medicine ,Pathology and Forensic Medicine - Abstract
Context.— Homozygous deletion (HD) of CDKN2A is one of the most frequent genetic abnormalities in pleural mesotheliomas. HD of CDKN2A by fluorescence in situ hybridization (FISH) is a reliable marker of malignancy in mesothelial proliferations; however, evaluation of CDKN2A deletion requires FISH. The 9p21 locus includes both CDKN2A and MTAP (methylthioadenosine phosphorylase); the latter is frequently codeleted with CDKN2A. Objective.— To examine the question of whether immunohistochemistry for MTAP and p16, the protein product of CDKN2A, can serve as a surrogate for CDKN2A HD by FISH. Design.— A random selection of 125 pleural mesothelioma cases was divided into 3 groups for evaluation of p16 and MTAP expression compared with FISH for CDKN2A deletion: 53 with HD, 39 with heterozygous deletion, and 33 without deletion. Results.— By itself, loss of p16 nuclear expression ( Conclusions.— MTAP immunohistochemical staining is a valid surrogate marker for CDKN2A HD by FISH; however, to obtain the same accuracy as the FISH assay, a combination of nuclear p16 and cytoplasmic MTAP staining is recommended. These findings correlate with prognosis.
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- 2022
6. Table S6 from Integrative Molecular Characterization of Malignant Pleural Mesothelioma
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Erik Zmuda, Hongxin Zhang, Hailei Zhang, Jiashan Zhang, Jean C. Zenklusen, Marjorie G. Zauderer, Liming Yang, Shogo Yamamoto, Ye Wu, Tina Wong, Ignacio Wistuba, Lisa Wise, Matthew D. Wilkerson, Daniel J. Weisenberger, John N. Weinstein, Joellen Weaver, Jing Wang, Zhining Wang, Yunhu Wan, Douglas Voet, Luciano S. Viana, Umadevi Veluvolu, Nico van Zandwijk, David J. Van Den Berg, Federico Valdivieso, Tohru Tsujimura, Kane Tse, Anne Tsao, Eric Thompson, Nina Thiessen, Barry S Taylor, Kenji Tatsuno, Roy Tarnuzzer, Donghui Tan, Angela Tam, Qiang Sun, Josh Stuart, Chip Stewart, Paul Spellman, Matthew G. Soloway, Heidi J. Sofia, Tara Skelly, Payal Sipahimalani, Janae V. Simons, Henrique C. S. Silveira, Ilya Shmulevich, Yuichi Shiraishi, Yan Shi, Robert Sheridan, Troy Shelton, Candace Shelton, David T Severson, Tanguy Seiwert, Steven E. Schumacher, Nikolaus Schultz, Jacqueline E. Schein, Cristovam Scapulatempo-Neto, Ayuko Sato, Chris Sander, Gordon Saksena, Sara Sadeghi, Valerie Rusch, Jeffrey Roach, Robert C. Rintoul, William G Richards, David Rice, Sheila M. Reynolds, Rui M. Reis, Glen Reid, Gloria Ravegnini, Doris M. Rassl, Nilsa C. Ramirez, Todd Pihl, Charles M. Perou, Robert Penny, Nathan A. Pennell, Arjun Pennathur, Joseph Paulauskis, Harvey I. Pass, Joel S. Parker, Hatice Osmanbeyoglu, Angelica Ochoa, Yulia Newton, Rashi Naresh, Takashi Nakano, Karen Mungall, Andrew J. Mungall, Lisle E. Mose, Scott Morris, Cesar Moran, Richard A. Moore, Gordon B. Mills, Piotr A. Mieczkowski, Matthew Meyerson, Shaowu Meng, Jonathan Melamed, Sam Meier, Michael Mayo, Marco A. Marra, David Mallory, Dennis T. Maglinte, Yussanne Ma, James Luketich, Yiling Lu, Adhemar Longatto-Filho, Laxmi Lolla, Eric Minwei Liu, Wenbin Liu, Jia Liu, Pei Lin, Tara M. Lichtenberg, Kristen M. Leraas, Darlene Lee, Michael S. Lawrence, Peter W. Laird, Phillip H. Lai, David J. Kwiatkowski, Kozo Kuribayashi, Ritika Kundra, Thomas Krausz, Nobuyuki Kondo, Jaegil Kim, Katayoon Kasaian, Rupa S. Kanchi, Corbin D. Jones, Steven J.M. Jones, Stuart R. Jefferys, Carolyn M. Hutter, Aliya Husain, Alan P. Hoyle, Robert A. Holt, Katherine A. Hoadley, Zachary Heins, David I. Heiman, D. Neil Hayes, David Haussler, Seiki Hasegawa, Guangwu Guo, Benjamin Gross, Chandra Goparaju, Gad Getz, Mark Gerken, Nils Gehlenborg, Julie M. Gastier-Foster, Johanna Gardner, Jianjiong Gao, Françoise Galateau Sallé, Stacey B. Gabriel, Shiro Fukuda, Martin L. Ferguson, Michael Feldman, Rajiv Dhir, Noreen Dhalla, John A. Demchok, Timothy DeFreitas, Assunta De Rienzo, Ludmila Danilova, Erin Curley, Daniel Crain, Leslie Cope, Carrie Cibulskis, Sudha Chudamani, Eric Chuah, Juok Cho, Lucian Chirieac, Dorothy Cheung, Andrew D. Cherniack, Andre L. Carvalho, Rebecca Carlsen, Flávio M. Cárcano, Lauren Averett Byers, Denise Brooks, Moiz S. Bootwalla, Tom Bodenheimer, Craig Bielski, Rameen Beroukhim, Carmen Behrens, Michael Becich, Stephen B. Baylin, Saianand Balu, Miruna Balasundaram, J. Todd Auman, Joshua Armenia, Pavana Anur, Adrian Ally, Marc Ladanyi, Peter Campbell, Bruce W. Robinson, Hiroyuki Aburatani, Ronglai Shen, A. Gordon Robertson, Jonathan A. Fletcher, Michael S. Noble, Lauren A. Byers, Rehan Akbani, Jean Claude Zenklusen, Ina Felau, Jay Bowen, Kristen Leraas, Tara Lichtenberg, Jenette Creaney, Anne S. Tsao, Raphael Bueno, Hedy Kindler, Harvey Pass, Valerie W. Rusch, Henrique C. Silveira, Aliya N. Husain, Junya Fujimoto, Françoise Galateau-Sallé, Lucian R. Chirieac, Sanja Dacic, William D. Travis, Achim A. Jungbluth, Patrice Desmeules, David T. Severson, Havish Kantheti, Lisa Iype, Vesteinn Thorsson, David L. Gibbs, Lixia Diao, Carl M. Gay, Manaswi Gupta, Kiley Graim, Jumpei Takeshita, Yoshitaka Sekido, Hatice U. Osmanbeyoglu, Rupa Kanchi, Reanne Bowlby, Ewan A. Gibb, Esther Drill, Patrick Tarpey, David Heiman, Juliann Shih, Francisco Sanchez-Vega, and Julija Hmeljak
- Abstract
Table S6 contains results from the analysis of DNA methylation in SETD2 mutated and BAP1 inactivated samples.
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- 2023
7. Table S7 from Integrative Molecular Characterization of Malignant Pleural Mesothelioma
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Erik Zmuda, Hongxin Zhang, Hailei Zhang, Jiashan Zhang, Jean C. Zenklusen, Marjorie G. Zauderer, Liming Yang, Shogo Yamamoto, Ye Wu, Tina Wong, Ignacio Wistuba, Lisa Wise, Matthew D. Wilkerson, Daniel J. Weisenberger, John N. Weinstein, Joellen Weaver, Jing Wang, Zhining Wang, Yunhu Wan, Douglas Voet, Luciano S. Viana, Umadevi Veluvolu, Nico van Zandwijk, David J. Van Den Berg, Federico Valdivieso, Tohru Tsujimura, Kane Tse, Anne Tsao, Eric Thompson, Nina Thiessen, Barry S Taylor, Kenji Tatsuno, Roy Tarnuzzer, Donghui Tan, Angela Tam, Qiang Sun, Josh Stuart, Chip Stewart, Paul Spellman, Matthew G. Soloway, Heidi J. Sofia, Tara Skelly, Payal Sipahimalani, Janae V. Simons, Henrique C. S. Silveira, Ilya Shmulevich, Yuichi Shiraishi, Yan Shi, Robert Sheridan, Troy Shelton, Candace Shelton, David T Severson, Tanguy Seiwert, Steven E. Schumacher, Nikolaus Schultz, Jacqueline E. Schein, Cristovam Scapulatempo-Neto, Ayuko Sato, Chris Sander, Gordon Saksena, Sara Sadeghi, Valerie Rusch, Jeffrey Roach, Robert C. Rintoul, William G Richards, David Rice, Sheila M. Reynolds, Rui M. Reis, Glen Reid, Gloria Ravegnini, Doris M. Rassl, Nilsa C. Ramirez, Todd Pihl, Charles M. Perou, Robert Penny, Nathan A. Pennell, Arjun Pennathur, Joseph Paulauskis, Harvey I. Pass, Joel S. Parker, Hatice Osmanbeyoglu, Angelica Ochoa, Yulia Newton, Rashi Naresh, Takashi Nakano, Karen Mungall, Andrew J. Mungall, Lisle E. Mose, Scott Morris, Cesar Moran, Richard A. Moore, Gordon B. Mills, Piotr A. Mieczkowski, Matthew Meyerson, Shaowu Meng, Jonathan Melamed, Sam Meier, Michael Mayo, Marco A. Marra, David Mallory, Dennis T. Maglinte, Yussanne Ma, James Luketich, Yiling Lu, Adhemar Longatto-Filho, Laxmi Lolla, Eric Minwei Liu, Wenbin Liu, Jia Liu, Pei Lin, Tara M. Lichtenberg, Kristen M. Leraas, Darlene Lee, Michael S. Lawrence, Peter W. Laird, Phillip H. Lai, David J. Kwiatkowski, Kozo Kuribayashi, Ritika Kundra, Thomas Krausz, Nobuyuki Kondo, Jaegil Kim, Katayoon Kasaian, Rupa S. Kanchi, Corbin D. Jones, Steven J.M. Jones, Stuart R. Jefferys, Carolyn M. Hutter, Aliya Husain, Alan P. Hoyle, Robert A. Holt, Katherine A. Hoadley, Zachary Heins, David I. Heiman, D. Neil Hayes, David Haussler, Seiki Hasegawa, Guangwu Guo, Benjamin Gross, Chandra Goparaju, Gad Getz, Mark Gerken, Nils Gehlenborg, Julie M. Gastier-Foster, Johanna Gardner, Jianjiong Gao, Françoise Galateau Sallé, Stacey B. Gabriel, Shiro Fukuda, Martin L. Ferguson, Michael Feldman, Rajiv Dhir, Noreen Dhalla, John A. Demchok, Timothy DeFreitas, Assunta De Rienzo, Ludmila Danilova, Erin Curley, Daniel Crain, Leslie Cope, Carrie Cibulskis, Sudha Chudamani, Eric Chuah, Juok Cho, Lucian Chirieac, Dorothy Cheung, Andrew D. Cherniack, Andre L. Carvalho, Rebecca Carlsen, Flávio M. Cárcano, Lauren Averett Byers, Denise Brooks, Moiz S. Bootwalla, Tom Bodenheimer, Craig Bielski, Rameen Beroukhim, Carmen Behrens, Michael Becich, Stephen B. Baylin, Saianand Balu, Miruna Balasundaram, J. Todd Auman, Joshua Armenia, Pavana Anur, Adrian Ally, Marc Ladanyi, Peter Campbell, Bruce W. Robinson, Hiroyuki Aburatani, Ronglai Shen, A. Gordon Robertson, Jonathan A. Fletcher, Michael S. Noble, Lauren A. Byers, Rehan Akbani, Jean Claude Zenklusen, Ina Felau, Jay Bowen, Kristen Leraas, Tara Lichtenberg, Jenette Creaney, Anne S. Tsao, Raphael Bueno, Hedy Kindler, Harvey Pass, Valerie W. Rusch, Henrique C. Silveira, Aliya N. Husain, Junya Fujimoto, Françoise Galateau-Sallé, Lucian R. Chirieac, Sanja Dacic, William D. Travis, Achim A. Jungbluth, Patrice Desmeules, David T. Severson, Havish Kantheti, Lisa Iype, Vesteinn Thorsson, David L. Gibbs, Lixia Diao, Carl M. Gay, Manaswi Gupta, Kiley Graim, Jumpei Takeshita, Yoshitaka Sekido, Hatice U. Osmanbeyoglu, Rupa Kanchi, Reanne Bowlby, Ewan A. Gibb, Esther Drill, Patrick Tarpey, David Heiman, Juliann Shih, Francisco Sanchez-Vega, and Julija Hmeljak
- Abstract
Table S7 contains microbe screening results.
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- 2023
8. Table S1 from Integrative Molecular Characterization of Malignant Pleural Mesothelioma
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Erik Zmuda, Hongxin Zhang, Hailei Zhang, Jiashan Zhang, Jean C. Zenklusen, Marjorie G. Zauderer, Liming Yang, Shogo Yamamoto, Ye Wu, Tina Wong, Ignacio Wistuba, Lisa Wise, Matthew D. Wilkerson, Daniel J. Weisenberger, John N. Weinstein, Joellen Weaver, Jing Wang, Zhining Wang, Yunhu Wan, Douglas Voet, Luciano S. Viana, Umadevi Veluvolu, Nico van Zandwijk, David J. Van Den Berg, Federico Valdivieso, Tohru Tsujimura, Kane Tse, Anne Tsao, Eric Thompson, Nina Thiessen, Barry S Taylor, Kenji Tatsuno, Roy Tarnuzzer, Donghui Tan, Angela Tam, Qiang Sun, Josh Stuart, Chip Stewart, Paul Spellman, Matthew G. Soloway, Heidi J. Sofia, Tara Skelly, Payal Sipahimalani, Janae V. Simons, Henrique C. S. Silveira, Ilya Shmulevich, Yuichi Shiraishi, Yan Shi, Robert Sheridan, Troy Shelton, Candace Shelton, David T Severson, Tanguy Seiwert, Steven E. Schumacher, Nikolaus Schultz, Jacqueline E. Schein, Cristovam Scapulatempo-Neto, Ayuko Sato, Chris Sander, Gordon Saksena, Sara Sadeghi, Valerie Rusch, Jeffrey Roach, Robert C. Rintoul, William G Richards, David Rice, Sheila M. Reynolds, Rui M. Reis, Glen Reid, Gloria Ravegnini, Doris M. Rassl, Nilsa C. Ramirez, Todd Pihl, Charles M. Perou, Robert Penny, Nathan A. Pennell, Arjun Pennathur, Joseph Paulauskis, Harvey I. Pass, Joel S. Parker, Hatice Osmanbeyoglu, Angelica Ochoa, Yulia Newton, Rashi Naresh, Takashi Nakano, Karen Mungall, Andrew J. Mungall, Lisle E. Mose, Scott Morris, Cesar Moran, Richard A. Moore, Gordon B. Mills, Piotr A. Mieczkowski, Matthew Meyerson, Shaowu Meng, Jonathan Melamed, Sam Meier, Michael Mayo, Marco A. Marra, David Mallory, Dennis T. Maglinte, Yussanne Ma, James Luketich, Yiling Lu, Adhemar Longatto-Filho, Laxmi Lolla, Eric Minwei Liu, Wenbin Liu, Jia Liu, Pei Lin, Tara M. Lichtenberg, Kristen M. Leraas, Darlene Lee, Michael S. Lawrence, Peter W. Laird, Phillip H. Lai, David J. Kwiatkowski, Kozo Kuribayashi, Ritika Kundra, Thomas Krausz, Nobuyuki Kondo, Jaegil Kim, Katayoon Kasaian, Rupa S. Kanchi, Corbin D. Jones, Steven J.M. Jones, Stuart R. Jefferys, Carolyn M. Hutter, Aliya Husain, Alan P. Hoyle, Robert A. Holt, Katherine A. Hoadley, Zachary Heins, David I. Heiman, D. Neil Hayes, David Haussler, Seiki Hasegawa, Guangwu Guo, Benjamin Gross, Chandra Goparaju, Gad Getz, Mark Gerken, Nils Gehlenborg, Julie M. Gastier-Foster, Johanna Gardner, Jianjiong Gao, Françoise Galateau Sallé, Stacey B. Gabriel, Shiro Fukuda, Martin L. Ferguson, Michael Feldman, Rajiv Dhir, Noreen Dhalla, John A. Demchok, Timothy DeFreitas, Assunta De Rienzo, Ludmila Danilova, Erin Curley, Daniel Crain, Leslie Cope, Carrie Cibulskis, Sudha Chudamani, Eric Chuah, Juok Cho, Lucian Chirieac, Dorothy Cheung, Andrew D. Cherniack, Andre L. Carvalho, Rebecca Carlsen, Flávio M. Cárcano, Lauren Averett Byers, Denise Brooks, Moiz S. Bootwalla, Tom Bodenheimer, Craig Bielski, Rameen Beroukhim, Carmen Behrens, Michael Becich, Stephen B. Baylin, Saianand Balu, Miruna Balasundaram, J. Todd Auman, Joshua Armenia, Pavana Anur, Adrian Ally, Marc Ladanyi, Peter Campbell, Bruce W. Robinson, Hiroyuki Aburatani, Ronglai Shen, A. Gordon Robertson, Jonathan A. Fletcher, Michael S. Noble, Lauren A. Byers, Rehan Akbani, Jean Claude Zenklusen, Ina Felau, Jay Bowen, Kristen Leraas, Tara Lichtenberg, Jenette Creaney, Anne S. Tsao, Raphael Bueno, Hedy Kindler, Harvey Pass, Valerie W. Rusch, Henrique C. Silveira, Aliya N. Husain, Junya Fujimoto, Françoise Galateau-Sallé, Lucian R. Chirieac, Sanja Dacic, William D. Travis, Achim A. Jungbluth, Patrice Desmeules, David T. Severson, Havish Kantheti, Lisa Iype, Vesteinn Thorsson, David L. Gibbs, Lixia Diao, Carl M. Gay, Manaswi Gupta, Kiley Graim, Jumpei Takeshita, Yoshitaka Sekido, Hatice U. Osmanbeyoglu, Rupa Kanchi, Reanne Bowlby, Ewan A. Gibb, Esther Drill, Patrick Tarpey, David Heiman, Juliann Shih, Francisco Sanchez-Vega, and Julija Hmeljak
- Abstract
Table S1 contains cohort description, Master Patient Table and MutSigCV results.
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- 2023
9. Data from Integrative Molecular Characterization of Malignant Pleural Mesothelioma
- Author
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Erik Zmuda, Hongxin Zhang, Hailei Zhang, Jiashan Zhang, Jean C. Zenklusen, Marjorie G. Zauderer, Liming Yang, Shogo Yamamoto, Ye Wu, Tina Wong, Ignacio Wistuba, Lisa Wise, Matthew D. Wilkerson, Daniel J. Weisenberger, John N. Weinstein, Joellen Weaver, Jing Wang, Zhining Wang, Yunhu Wan, Douglas Voet, Luciano S. Viana, Umadevi Veluvolu, Nico van Zandwijk, David J. Van Den Berg, Federico Valdivieso, Tohru Tsujimura, Kane Tse, Anne Tsao, Eric Thompson, Nina Thiessen, Barry S Taylor, Kenji Tatsuno, Roy Tarnuzzer, Donghui Tan, Angela Tam, Qiang Sun, Josh Stuart, Chip Stewart, Paul Spellman, Matthew G. Soloway, Heidi J. Sofia, Tara Skelly, Payal Sipahimalani, Janae V. Simons, Henrique C. S. Silveira, Ilya Shmulevich, Yuichi Shiraishi, Yan Shi, Robert Sheridan, Troy Shelton, Candace Shelton, David T Severson, Tanguy Seiwert, Steven E. Schumacher, Nikolaus Schultz, Jacqueline E. Schein, Cristovam Scapulatempo-Neto, Ayuko Sato, Chris Sander, Gordon Saksena, Sara Sadeghi, Valerie Rusch, Jeffrey Roach, Robert C. Rintoul, William G Richards, David Rice, Sheila M. Reynolds, Rui M. Reis, Glen Reid, Gloria Ravegnini, Doris M. Rassl, Nilsa C. Ramirez, Todd Pihl, Charles M. Perou, Robert Penny, Nathan A. Pennell, Arjun Pennathur, Joseph Paulauskis, Harvey I. Pass, Joel S. Parker, Hatice Osmanbeyoglu, Angelica Ochoa, Yulia Newton, Rashi Naresh, Takashi Nakano, Karen Mungall, Andrew J. Mungall, Lisle E. Mose, Scott Morris, Cesar Moran, Richard A. Moore, Gordon B. Mills, Piotr A. Mieczkowski, Matthew Meyerson, Shaowu Meng, Jonathan Melamed, Sam Meier, Michael Mayo, Marco A. Marra, David Mallory, Dennis T. Maglinte, Yussanne Ma, James Luketich, Yiling Lu, Adhemar Longatto-Filho, Laxmi Lolla, Eric Minwei Liu, Wenbin Liu, Jia Liu, Pei Lin, Tara M. Lichtenberg, Kristen M. Leraas, Darlene Lee, Michael S. Lawrence, Peter W. Laird, Phillip H. Lai, David J. Kwiatkowski, Kozo Kuribayashi, Ritika Kundra, Thomas Krausz, Nobuyuki Kondo, Jaegil Kim, Katayoon Kasaian, Rupa S. Kanchi, Corbin D. Jones, Steven J.M. Jones, Stuart R. Jefferys, Carolyn M. Hutter, Aliya Husain, Alan P. Hoyle, Robert A. Holt, Katherine A. Hoadley, Zachary Heins, David I. Heiman, D. Neil Hayes, David Haussler, Seiki Hasegawa, Guangwu Guo, Benjamin Gross, Chandra Goparaju, Gad Getz, Mark Gerken, Nils Gehlenborg, Julie M. Gastier-Foster, Johanna Gardner, Jianjiong Gao, Françoise Galateau Sallé, Stacey B. Gabriel, Shiro Fukuda, Martin L. Ferguson, Michael Feldman, Rajiv Dhir, Noreen Dhalla, John A. Demchok, Timothy DeFreitas, Assunta De Rienzo, Ludmila Danilova, Erin Curley, Daniel Crain, Leslie Cope, Carrie Cibulskis, Sudha Chudamani, Eric Chuah, Juok Cho, Lucian Chirieac, Dorothy Cheung, Andrew D. Cherniack, Andre L. Carvalho, Rebecca Carlsen, Flávio M. Cárcano, Lauren Averett Byers, Denise Brooks, Moiz S. Bootwalla, Tom Bodenheimer, Craig Bielski, Rameen Beroukhim, Carmen Behrens, Michael Becich, Stephen B. Baylin, Saianand Balu, Miruna Balasundaram, J. Todd Auman, Joshua Armenia, Pavana Anur, Adrian Ally, Marc Ladanyi, Peter Campbell, Bruce W. Robinson, Hiroyuki Aburatani, Ronglai Shen, A. Gordon Robertson, Jonathan A. Fletcher, Michael S. Noble, Lauren A. Byers, Rehan Akbani, Jean Claude Zenklusen, Ina Felau, Jay Bowen, Kristen Leraas, Tara Lichtenberg, Jenette Creaney, Anne S. Tsao, Raphael Bueno, Hedy Kindler, Harvey Pass, Valerie W. Rusch, Henrique C. Silveira, Aliya N. Husain, Junya Fujimoto, Françoise Galateau-Sallé, Lucian R. Chirieac, Sanja Dacic, William D. Travis, Achim A. Jungbluth, Patrice Desmeules, David T. Severson, Havish Kantheti, Lisa Iype, Vesteinn Thorsson, David L. Gibbs, Lixia Diao, Carl M. Gay, Manaswi Gupta, Kiley Graim, Jumpei Takeshita, Yoshitaka Sekido, Hatice U. Osmanbeyoglu, Rupa Kanchi, Reanne Bowlby, Ewan A. Gibb, Esther Drill, Patrick Tarpey, David Heiman, Juliann Shih, Francisco Sanchez-Vega, and Julija Hmeljak
- Abstract
Malignant pleural mesothelioma (MPM) is a highly lethal cancer of the lining of the chest cavity. To expand our understanding of MPM, we conducted a comprehensive integrated genomic study, including the most detailed analysis of BAP1 alterations to date. We identified histology-independent molecular prognostic subsets, and defined a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity. We also report strong expression of the immune-checkpoint gene VISTA in epithelioid MPM, strikingly higher than in other solid cancers, with implications for the immune response to MPM and for its immunotherapy. Our findings highlight new avenues for further investigation of MPM biology and novel therapeutic options.Significance:Through a comprehensive integrated genomic study of 74 MPMs, we provide a deeper understanding of histology-independent determinants of aggressive behavior, define a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity, and discovered strong expression of the immune-checkpoint gene VISTA in epithelioid MPM.See related commentary by Aggarwal and Albelda, p. 1508.This article is highlighted in the In This Issue feature, p. 1494
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- 2023
10. Table S3 from Integrative Molecular Characterization of Malignant Pleural Mesothelioma
- Author
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Erik Zmuda, Hongxin Zhang, Hailei Zhang, Jiashan Zhang, Jean C. Zenklusen, Marjorie G. Zauderer, Liming Yang, Shogo Yamamoto, Ye Wu, Tina Wong, Ignacio Wistuba, Lisa Wise, Matthew D. Wilkerson, Daniel J. Weisenberger, John N. Weinstein, Joellen Weaver, Jing Wang, Zhining Wang, Yunhu Wan, Douglas Voet, Luciano S. Viana, Umadevi Veluvolu, Nico van Zandwijk, David J. Van Den Berg, Federico Valdivieso, Tohru Tsujimura, Kane Tse, Anne Tsao, Eric Thompson, Nina Thiessen, Barry S Taylor, Kenji Tatsuno, Roy Tarnuzzer, Donghui Tan, Angela Tam, Qiang Sun, Josh Stuart, Chip Stewart, Paul Spellman, Matthew G. Soloway, Heidi J. Sofia, Tara Skelly, Payal Sipahimalani, Janae V. Simons, Henrique C. S. Silveira, Ilya Shmulevich, Yuichi Shiraishi, Yan Shi, Robert Sheridan, Troy Shelton, Candace Shelton, David T Severson, Tanguy Seiwert, Steven E. Schumacher, Nikolaus Schultz, Jacqueline E. Schein, Cristovam Scapulatempo-Neto, Ayuko Sato, Chris Sander, Gordon Saksena, Sara Sadeghi, Valerie Rusch, Jeffrey Roach, Robert C. Rintoul, William G Richards, David Rice, Sheila M. Reynolds, Rui M. Reis, Glen Reid, Gloria Ravegnini, Doris M. Rassl, Nilsa C. Ramirez, Todd Pihl, Charles M. Perou, Robert Penny, Nathan A. Pennell, Arjun Pennathur, Joseph Paulauskis, Harvey I. Pass, Joel S. Parker, Hatice Osmanbeyoglu, Angelica Ochoa, Yulia Newton, Rashi Naresh, Takashi Nakano, Karen Mungall, Andrew J. Mungall, Lisle E. Mose, Scott Morris, Cesar Moran, Richard A. Moore, Gordon B. Mills, Piotr A. Mieczkowski, Matthew Meyerson, Shaowu Meng, Jonathan Melamed, Sam Meier, Michael Mayo, Marco A. Marra, David Mallory, Dennis T. Maglinte, Yussanne Ma, James Luketich, Yiling Lu, Adhemar Longatto-Filho, Laxmi Lolla, Eric Minwei Liu, Wenbin Liu, Jia Liu, Pei Lin, Tara M. Lichtenberg, Kristen M. Leraas, Darlene Lee, Michael S. Lawrence, Peter W. Laird, Phillip H. Lai, David J. Kwiatkowski, Kozo Kuribayashi, Ritika Kundra, Thomas Krausz, Nobuyuki Kondo, Jaegil Kim, Katayoon Kasaian, Rupa S. Kanchi, Corbin D. Jones, Steven J.M. Jones, Stuart R. Jefferys, Carolyn M. Hutter, Aliya Husain, Alan P. Hoyle, Robert A. Holt, Katherine A. Hoadley, Zachary Heins, David I. Heiman, D. Neil Hayes, David Haussler, Seiki Hasegawa, Guangwu Guo, Benjamin Gross, Chandra Goparaju, Gad Getz, Mark Gerken, Nils Gehlenborg, Julie M. Gastier-Foster, Johanna Gardner, Jianjiong Gao, Françoise Galateau Sallé, Stacey B. Gabriel, Shiro Fukuda, Martin L. Ferguson, Michael Feldman, Rajiv Dhir, Noreen Dhalla, John A. Demchok, Timothy DeFreitas, Assunta De Rienzo, Ludmila Danilova, Erin Curley, Daniel Crain, Leslie Cope, Carrie Cibulskis, Sudha Chudamani, Eric Chuah, Juok Cho, Lucian Chirieac, Dorothy Cheung, Andrew D. Cherniack, Andre L. Carvalho, Rebecca Carlsen, Flávio M. Cárcano, Lauren Averett Byers, Denise Brooks, Moiz S. Bootwalla, Tom Bodenheimer, Craig Bielski, Rameen Beroukhim, Carmen Behrens, Michael Becich, Stephen B. Baylin, Saianand Balu, Miruna Balasundaram, J. Todd Auman, Joshua Armenia, Pavana Anur, Adrian Ally, Marc Ladanyi, Peter Campbell, Bruce W. Robinson, Hiroyuki Aburatani, Ronglai Shen, A. Gordon Robertson, Jonathan A. Fletcher, Michael S. Noble, Lauren A. Byers, Rehan Akbani, Jean Claude Zenklusen, Ina Felau, Jay Bowen, Kristen Leraas, Tara Lichtenberg, Jenette Creaney, Anne S. Tsao, Raphael Bueno, Hedy Kindler, Harvey Pass, Valerie W. Rusch, Henrique C. Silveira, Aliya N. Husain, Junya Fujimoto, Françoise Galateau-Sallé, Lucian R. Chirieac, Sanja Dacic, William D. Travis, Achim A. Jungbluth, Patrice Desmeules, David T. Severson, Havish Kantheti, Lisa Iype, Vesteinn Thorsson, David L. Gibbs, Lixia Diao, Carl M. Gay, Manaswi Gupta, Kiley Graim, Jumpei Takeshita, Yoshitaka Sekido, Hatice U. Osmanbeyoglu, Rupa Kanchi, Reanne Bowlby, Ewan A. Gibb, Esther Drill, Patrick Tarpey, David Heiman, Juliann Shih, Francisco Sanchez-Vega, and Julija Hmeljak
- Abstract
Table S3 contains the karyotypes of 16 genome-wide LOH MPM cases from the BWH cohort.
- Published
- 2023
11. Table S5 from Integrative Molecular Characterization of Malignant Pleural Mesothelioma
- Author
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Erik Zmuda, Hongxin Zhang, Hailei Zhang, Jiashan Zhang, Jean C. Zenklusen, Marjorie G. Zauderer, Liming Yang, Shogo Yamamoto, Ye Wu, Tina Wong, Ignacio Wistuba, Lisa Wise, Matthew D. Wilkerson, Daniel J. Weisenberger, John N. Weinstein, Joellen Weaver, Jing Wang, Zhining Wang, Yunhu Wan, Douglas Voet, Luciano S. Viana, Umadevi Veluvolu, Nico van Zandwijk, David J. Van Den Berg, Federico Valdivieso, Tohru Tsujimura, Kane Tse, Anne Tsao, Eric Thompson, Nina Thiessen, Barry S Taylor, Kenji Tatsuno, Roy Tarnuzzer, Donghui Tan, Angela Tam, Qiang Sun, Josh Stuart, Chip Stewart, Paul Spellman, Matthew G. Soloway, Heidi J. Sofia, Tara Skelly, Payal Sipahimalani, Janae V. Simons, Henrique C. S. Silveira, Ilya Shmulevich, Yuichi Shiraishi, Yan Shi, Robert Sheridan, Troy Shelton, Candace Shelton, David T Severson, Tanguy Seiwert, Steven E. Schumacher, Nikolaus Schultz, Jacqueline E. Schein, Cristovam Scapulatempo-Neto, Ayuko Sato, Chris Sander, Gordon Saksena, Sara Sadeghi, Valerie Rusch, Jeffrey Roach, Robert C. Rintoul, William G Richards, David Rice, Sheila M. Reynolds, Rui M. Reis, Glen Reid, Gloria Ravegnini, Doris M. Rassl, Nilsa C. Ramirez, Todd Pihl, Charles M. Perou, Robert Penny, Nathan A. Pennell, Arjun Pennathur, Joseph Paulauskis, Harvey I. Pass, Joel S. Parker, Hatice Osmanbeyoglu, Angelica Ochoa, Yulia Newton, Rashi Naresh, Takashi Nakano, Karen Mungall, Andrew J. Mungall, Lisle E. Mose, Scott Morris, Cesar Moran, Richard A. Moore, Gordon B. Mills, Piotr A. Mieczkowski, Matthew Meyerson, Shaowu Meng, Jonathan Melamed, Sam Meier, Michael Mayo, Marco A. Marra, David Mallory, Dennis T. Maglinte, Yussanne Ma, James Luketich, Yiling Lu, Adhemar Longatto-Filho, Laxmi Lolla, Eric Minwei Liu, Wenbin Liu, Jia Liu, Pei Lin, Tara M. Lichtenberg, Kristen M. Leraas, Darlene Lee, Michael S. Lawrence, Peter W. Laird, Phillip H. Lai, David J. Kwiatkowski, Kozo Kuribayashi, Ritika Kundra, Thomas Krausz, Nobuyuki Kondo, Jaegil Kim, Katayoon Kasaian, Rupa S. Kanchi, Corbin D. Jones, Steven J.M. Jones, Stuart R. Jefferys, Carolyn M. Hutter, Aliya Husain, Alan P. Hoyle, Robert A. Holt, Katherine A. Hoadley, Zachary Heins, David I. Heiman, D. Neil Hayes, David Haussler, Seiki Hasegawa, Guangwu Guo, Benjamin Gross, Chandra Goparaju, Gad Getz, Mark Gerken, Nils Gehlenborg, Julie M. Gastier-Foster, Johanna Gardner, Jianjiong Gao, Françoise Galateau Sallé, Stacey B. Gabriel, Shiro Fukuda, Martin L. Ferguson, Michael Feldman, Rajiv Dhir, Noreen Dhalla, John A. Demchok, Timothy DeFreitas, Assunta De Rienzo, Ludmila Danilova, Erin Curley, Daniel Crain, Leslie Cope, Carrie Cibulskis, Sudha Chudamani, Eric Chuah, Juok Cho, Lucian Chirieac, Dorothy Cheung, Andrew D. Cherniack, Andre L. Carvalho, Rebecca Carlsen, Flávio M. Cárcano, Lauren Averett Byers, Denise Brooks, Moiz S. Bootwalla, Tom Bodenheimer, Craig Bielski, Rameen Beroukhim, Carmen Behrens, Michael Becich, Stephen B. Baylin, Saianand Balu, Miruna Balasundaram, J. Todd Auman, Joshua Armenia, Pavana Anur, Adrian Ally, Marc Ladanyi, Peter Campbell, Bruce W. Robinson, Hiroyuki Aburatani, Ronglai Shen, A. Gordon Robertson, Jonathan A. Fletcher, Michael S. Noble, Lauren A. Byers, Rehan Akbani, Jean Claude Zenklusen, Ina Felau, Jay Bowen, Kristen Leraas, Tara Lichtenberg, Jenette Creaney, Anne S. Tsao, Raphael Bueno, Hedy Kindler, Harvey Pass, Valerie W. Rusch, Henrique C. Silveira, Aliya N. Husain, Junya Fujimoto, Françoise Galateau-Sallé, Lucian R. Chirieac, Sanja Dacic, William D. Travis, Achim A. Jungbluth, Patrice Desmeules, David T. Severson, Havish Kantheti, Lisa Iype, Vesteinn Thorsson, David L. Gibbs, Lixia Diao, Carl M. Gay, Manaswi Gupta, Kiley Graim, Jumpei Takeshita, Yoshitaka Sekido, Hatice U. Osmanbeyoglu, Rupa Kanchi, Reanne Bowlby, Ewan A. Gibb, Esther Drill, Patrick Tarpey, David Heiman, Juliann Shih, Francisco Sanchez-Vega, and Julija Hmeljak
- Abstract
Table S5 contains detailed miRs and lncRNAs results.
- Published
- 2023
12. Table S2 from Integrative Molecular Characterization of Malignant Pleural Mesothelioma
- Author
-
Erik Zmuda, Hongxin Zhang, Hailei Zhang, Jiashan Zhang, Jean C. Zenklusen, Marjorie G. Zauderer, Liming Yang, Shogo Yamamoto, Ye Wu, Tina Wong, Ignacio Wistuba, Lisa Wise, Matthew D. Wilkerson, Daniel J. Weisenberger, John N. Weinstein, Joellen Weaver, Jing Wang, Zhining Wang, Yunhu Wan, Douglas Voet, Luciano S. Viana, Umadevi Veluvolu, Nico van Zandwijk, David J. Van Den Berg, Federico Valdivieso, Tohru Tsujimura, Kane Tse, Anne Tsao, Eric Thompson, Nina Thiessen, Barry S Taylor, Kenji Tatsuno, Roy Tarnuzzer, Donghui Tan, Angela Tam, Qiang Sun, Josh Stuart, Chip Stewart, Paul Spellman, Matthew G. Soloway, Heidi J. Sofia, Tara Skelly, Payal Sipahimalani, Janae V. Simons, Henrique C. S. Silveira, Ilya Shmulevich, Yuichi Shiraishi, Yan Shi, Robert Sheridan, Troy Shelton, Candace Shelton, David T Severson, Tanguy Seiwert, Steven E. Schumacher, Nikolaus Schultz, Jacqueline E. Schein, Cristovam Scapulatempo-Neto, Ayuko Sato, Chris Sander, Gordon Saksena, Sara Sadeghi, Valerie Rusch, Jeffrey Roach, Robert C. Rintoul, William G Richards, David Rice, Sheila M. Reynolds, Rui M. Reis, Glen Reid, Gloria Ravegnini, Doris M. Rassl, Nilsa C. Ramirez, Todd Pihl, Charles M. Perou, Robert Penny, Nathan A. Pennell, Arjun Pennathur, Joseph Paulauskis, Harvey I. Pass, Joel S. Parker, Hatice Osmanbeyoglu, Angelica Ochoa, Yulia Newton, Rashi Naresh, Takashi Nakano, Karen Mungall, Andrew J. Mungall, Lisle E. Mose, Scott Morris, Cesar Moran, Richard A. Moore, Gordon B. Mills, Piotr A. Mieczkowski, Matthew Meyerson, Shaowu Meng, Jonathan Melamed, Sam Meier, Michael Mayo, Marco A. Marra, David Mallory, Dennis T. Maglinte, Yussanne Ma, James Luketich, Yiling Lu, Adhemar Longatto-Filho, Laxmi Lolla, Eric Minwei Liu, Wenbin Liu, Jia Liu, Pei Lin, Tara M. Lichtenberg, Kristen M. Leraas, Darlene Lee, Michael S. Lawrence, Peter W. Laird, Phillip H. Lai, David J. Kwiatkowski, Kozo Kuribayashi, Ritika Kundra, Thomas Krausz, Nobuyuki Kondo, Jaegil Kim, Katayoon Kasaian, Rupa S. Kanchi, Corbin D. Jones, Steven J.M. Jones, Stuart R. Jefferys, Carolyn M. Hutter, Aliya Husain, Alan P. Hoyle, Robert A. Holt, Katherine A. Hoadley, Zachary Heins, David I. Heiman, D. Neil Hayes, David Haussler, Seiki Hasegawa, Guangwu Guo, Benjamin Gross, Chandra Goparaju, Gad Getz, Mark Gerken, Nils Gehlenborg, Julie M. Gastier-Foster, Johanna Gardner, Jianjiong Gao, Françoise Galateau Sallé, Stacey B. Gabriel, Shiro Fukuda, Martin L. Ferguson, Michael Feldman, Rajiv Dhir, Noreen Dhalla, John A. Demchok, Timothy DeFreitas, Assunta De Rienzo, Ludmila Danilova, Erin Curley, Daniel Crain, Leslie Cope, Carrie Cibulskis, Sudha Chudamani, Eric Chuah, Juok Cho, Lucian Chirieac, Dorothy Cheung, Andrew D. Cherniack, Andre L. Carvalho, Rebecca Carlsen, Flávio M. Cárcano, Lauren Averett Byers, Denise Brooks, Moiz S. Bootwalla, Tom Bodenheimer, Craig Bielski, Rameen Beroukhim, Carmen Behrens, Michael Becich, Stephen B. Baylin, Saianand Balu, Miruna Balasundaram, J. Todd Auman, Joshua Armenia, Pavana Anur, Adrian Ally, Marc Ladanyi, Peter Campbell, Bruce W. Robinson, Hiroyuki Aburatani, Ronglai Shen, A. Gordon Robertson, Jonathan A. Fletcher, Michael S. Noble, Lauren A. Byers, Rehan Akbani, Jean Claude Zenklusen, Ina Felau, Jay Bowen, Kristen Leraas, Tara Lichtenberg, Jenette Creaney, Anne S. Tsao, Raphael Bueno, Hedy Kindler, Harvey Pass, Valerie W. Rusch, Henrique C. Silveira, Aliya N. Husain, Junya Fujimoto, Françoise Galateau-Sallé, Lucian R. Chirieac, Sanja Dacic, William D. Travis, Achim A. Jungbluth, Patrice Desmeules, David T. Severson, Havish Kantheti, Lisa Iype, Vesteinn Thorsson, David L. Gibbs, Lixia Diao, Carl M. Gay, Manaswi Gupta, Kiley Graim, Jumpei Takeshita, Yoshitaka Sekido, Hatice U. Osmanbeyoglu, Rupa Kanchi, Reanne Bowlby, Ewan A. Gibb, Esther Drill, Patrick Tarpey, David Heiman, Juliann Shih, Francisco Sanchez-Vega, and Julija Hmeljak
- Abstract
Table S2 contains BAP1 analysis results, as well as detailed lists of YY1 and IRF8 target genes.
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- 2023
13. Supplementary Data from Integrative Molecular Characterization of Malignant Pleural Mesothelioma
- Author
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Erik Zmuda, Hongxin Zhang, Hailei Zhang, Jiashan Zhang, Jean C. Zenklusen, Marjorie G. Zauderer, Liming Yang, Shogo Yamamoto, Ye Wu, Tina Wong, Ignacio Wistuba, Lisa Wise, Matthew D. Wilkerson, Daniel J. Weisenberger, John N. Weinstein, Joellen Weaver, Jing Wang, Zhining Wang, Yunhu Wan, Douglas Voet, Luciano S. Viana, Umadevi Veluvolu, Nico van Zandwijk, David J. Van Den Berg, Federico Valdivieso, Tohru Tsujimura, Kane Tse, Anne Tsao, Eric Thompson, Nina Thiessen, Barry S Taylor, Kenji Tatsuno, Roy Tarnuzzer, Donghui Tan, Angela Tam, Qiang Sun, Josh Stuart, Chip Stewart, Paul Spellman, Matthew G. Soloway, Heidi J. Sofia, Tara Skelly, Payal Sipahimalani, Janae V. Simons, Henrique C. S. Silveira, Ilya Shmulevich, Yuichi Shiraishi, Yan Shi, Robert Sheridan, Troy Shelton, Candace Shelton, David T Severson, Tanguy Seiwert, Steven E. Schumacher, Nikolaus Schultz, Jacqueline E. Schein, Cristovam Scapulatempo-Neto, Ayuko Sato, Chris Sander, Gordon Saksena, Sara Sadeghi, Valerie Rusch, Jeffrey Roach, Robert C. Rintoul, William G Richards, David Rice, Sheila M. Reynolds, Rui M. Reis, Glen Reid, Gloria Ravegnini, Doris M. Rassl, Nilsa C. Ramirez, Todd Pihl, Charles M. Perou, Robert Penny, Nathan A. Pennell, Arjun Pennathur, Joseph Paulauskis, Harvey I. Pass, Joel S. Parker, Hatice Osmanbeyoglu, Angelica Ochoa, Yulia Newton, Rashi Naresh, Takashi Nakano, Karen Mungall, Andrew J. Mungall, Lisle E. Mose, Scott Morris, Cesar Moran, Richard A. Moore, Gordon B. Mills, Piotr A. Mieczkowski, Matthew Meyerson, Shaowu Meng, Jonathan Melamed, Sam Meier, Michael Mayo, Marco A. Marra, David Mallory, Dennis T. Maglinte, Yussanne Ma, James Luketich, Yiling Lu, Adhemar Longatto-Filho, Laxmi Lolla, Eric Minwei Liu, Wenbin Liu, Jia Liu, Pei Lin, Tara M. Lichtenberg, Kristen M. Leraas, Darlene Lee, Michael S. Lawrence, Peter W. Laird, Phillip H. Lai, David J. Kwiatkowski, Kozo Kuribayashi, Ritika Kundra, Thomas Krausz, Nobuyuki Kondo, Jaegil Kim, Katayoon Kasaian, Rupa S. Kanchi, Corbin D. Jones, Steven J.M. Jones, Stuart R. Jefferys, Carolyn M. Hutter, Aliya Husain, Alan P. Hoyle, Robert A. Holt, Katherine A. Hoadley, Zachary Heins, David I. Heiman, D. Neil Hayes, David Haussler, Seiki Hasegawa, Guangwu Guo, Benjamin Gross, Chandra Goparaju, Gad Getz, Mark Gerken, Nils Gehlenborg, Julie M. Gastier-Foster, Johanna Gardner, Jianjiong Gao, Françoise Galateau Sallé, Stacey B. Gabriel, Shiro Fukuda, Martin L. Ferguson, Michael Feldman, Rajiv Dhir, Noreen Dhalla, John A. Demchok, Timothy DeFreitas, Assunta De Rienzo, Ludmila Danilova, Erin Curley, Daniel Crain, Leslie Cope, Carrie Cibulskis, Sudha Chudamani, Eric Chuah, Juok Cho, Lucian Chirieac, Dorothy Cheung, Andrew D. Cherniack, Andre L. Carvalho, Rebecca Carlsen, Flávio M. Cárcano, Lauren Averett Byers, Denise Brooks, Moiz S. Bootwalla, Tom Bodenheimer, Craig Bielski, Rameen Beroukhim, Carmen Behrens, Michael Becich, Stephen B. Baylin, Saianand Balu, Miruna Balasundaram, J. Todd Auman, Joshua Armenia, Pavana Anur, Adrian Ally, Marc Ladanyi, Peter Campbell, Bruce W. Robinson, Hiroyuki Aburatani, Ronglai Shen, A. Gordon Robertson, Jonathan A. Fletcher, Michael S. Noble, Lauren A. Byers, Rehan Akbani, Jean Claude Zenklusen, Ina Felau, Jay Bowen, Kristen Leraas, Tara Lichtenberg, Jenette Creaney, Anne S. Tsao, Raphael Bueno, Hedy Kindler, Harvey Pass, Valerie W. Rusch, Henrique C. Silveira, Aliya N. Husain, Junya Fujimoto, Françoise Galateau-Sallé, Lucian R. Chirieac, Sanja Dacic, William D. Travis, Achim A. Jungbluth, Patrice Desmeules, David T. Severson, Havish Kantheti, Lisa Iype, Vesteinn Thorsson, David L. Gibbs, Lixia Diao, Carl M. Gay, Manaswi Gupta, Kiley Graim, Jumpei Takeshita, Yoshitaka Sekido, Hatice U. Osmanbeyoglu, Rupa Kanchi, Reanne Bowlby, Ewan A. Gibb, Esther Drill, Patrick Tarpey, David Heiman, Juliann Shih, Francisco Sanchez-Vega, and Julija Hmeljak
- Abstract
Supplementary materials and methods, as well as supplementary figures S1-S7.
- Published
- 2023
14. Table S4 from Integrative Molecular Characterization of Malignant Pleural Mesothelioma
- Author
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Erik Zmuda, Hongxin Zhang, Hailei Zhang, Jiashan Zhang, Jean C. Zenklusen, Marjorie G. Zauderer, Liming Yang, Shogo Yamamoto, Ye Wu, Tina Wong, Ignacio Wistuba, Lisa Wise, Matthew D. Wilkerson, Daniel J. Weisenberger, John N. Weinstein, Joellen Weaver, Jing Wang, Zhining Wang, Yunhu Wan, Douglas Voet, Luciano S. Viana, Umadevi Veluvolu, Nico van Zandwijk, David J. Van Den Berg, Federico Valdivieso, Tohru Tsujimura, Kane Tse, Anne Tsao, Eric Thompson, Nina Thiessen, Barry S Taylor, Kenji Tatsuno, Roy Tarnuzzer, Donghui Tan, Angela Tam, Qiang Sun, Josh Stuart, Chip Stewart, Paul Spellman, Matthew G. Soloway, Heidi J. Sofia, Tara Skelly, Payal Sipahimalani, Janae V. Simons, Henrique C. S. Silveira, Ilya Shmulevich, Yuichi Shiraishi, Yan Shi, Robert Sheridan, Troy Shelton, Candace Shelton, David T Severson, Tanguy Seiwert, Steven E. Schumacher, Nikolaus Schultz, Jacqueline E. Schein, Cristovam Scapulatempo-Neto, Ayuko Sato, Chris Sander, Gordon Saksena, Sara Sadeghi, Valerie Rusch, Jeffrey Roach, Robert C. Rintoul, William G Richards, David Rice, Sheila M. Reynolds, Rui M. Reis, Glen Reid, Gloria Ravegnini, Doris M. Rassl, Nilsa C. Ramirez, Todd Pihl, Charles M. Perou, Robert Penny, Nathan A. Pennell, Arjun Pennathur, Joseph Paulauskis, Harvey I. Pass, Joel S. Parker, Hatice Osmanbeyoglu, Angelica Ochoa, Yulia Newton, Rashi Naresh, Takashi Nakano, Karen Mungall, Andrew J. Mungall, Lisle E. Mose, Scott Morris, Cesar Moran, Richard A. Moore, Gordon B. Mills, Piotr A. Mieczkowski, Matthew Meyerson, Shaowu Meng, Jonathan Melamed, Sam Meier, Michael Mayo, Marco A. Marra, David Mallory, Dennis T. Maglinte, Yussanne Ma, James Luketich, Yiling Lu, Adhemar Longatto-Filho, Laxmi Lolla, Eric Minwei Liu, Wenbin Liu, Jia Liu, Pei Lin, Tara M. Lichtenberg, Kristen M. Leraas, Darlene Lee, Michael S. Lawrence, Peter W. Laird, Phillip H. Lai, David J. Kwiatkowski, Kozo Kuribayashi, Ritika Kundra, Thomas Krausz, Nobuyuki Kondo, Jaegil Kim, Katayoon Kasaian, Rupa S. Kanchi, Corbin D. Jones, Steven J.M. Jones, Stuart R. Jefferys, Carolyn M. Hutter, Aliya Husain, Alan P. Hoyle, Robert A. Holt, Katherine A. Hoadley, Zachary Heins, David I. Heiman, D. Neil Hayes, David Haussler, Seiki Hasegawa, Guangwu Guo, Benjamin Gross, Chandra Goparaju, Gad Getz, Mark Gerken, Nils Gehlenborg, Julie M. Gastier-Foster, Johanna Gardner, Jianjiong Gao, Françoise Galateau Sallé, Stacey B. Gabriel, Shiro Fukuda, Martin L. Ferguson, Michael Feldman, Rajiv Dhir, Noreen Dhalla, John A. Demchok, Timothy DeFreitas, Assunta De Rienzo, Ludmila Danilova, Erin Curley, Daniel Crain, Leslie Cope, Carrie Cibulskis, Sudha Chudamani, Eric Chuah, Juok Cho, Lucian Chirieac, Dorothy Cheung, Andrew D. Cherniack, Andre L. Carvalho, Rebecca Carlsen, Flávio M. Cárcano, Lauren Averett Byers, Denise Brooks, Moiz S. Bootwalla, Tom Bodenheimer, Craig Bielski, Rameen Beroukhim, Carmen Behrens, Michael Becich, Stephen B. Baylin, Saianand Balu, Miruna Balasundaram, J. Todd Auman, Joshua Armenia, Pavana Anur, Adrian Ally, Marc Ladanyi, Peter Campbell, Bruce W. Robinson, Hiroyuki Aburatani, Ronglai Shen, A. Gordon Robertson, Jonathan A. Fletcher, Michael S. Noble, Lauren A. Byers, Rehan Akbani, Jean Claude Zenklusen, Ina Felau, Jay Bowen, Kristen Leraas, Tara Lichtenberg, Jenette Creaney, Anne S. Tsao, Raphael Bueno, Hedy Kindler, Harvey Pass, Valerie W. Rusch, Henrique C. Silveira, Aliya N. Husain, Junya Fujimoto, Françoise Galateau-Sallé, Lucian R. Chirieac, Sanja Dacic, William D. Travis, Achim A. Jungbluth, Patrice Desmeules, David T. Severson, Havish Kantheti, Lisa Iype, Vesteinn Thorsson, David L. Gibbs, Lixia Diao, Carl M. Gay, Manaswi Gupta, Kiley Graim, Jumpei Takeshita, Yoshitaka Sekido, Hatice U. Osmanbeyoglu, Rupa Kanchi, Reanne Bowlby, Ewan A. Gibb, Esther Drill, Patrick Tarpey, David Heiman, Juliann Shih, Francisco Sanchez-Vega, and Julija Hmeljak
- Abstract
Table S4 includes immune signature and iCluster results.
- Published
- 2023
15. Supplementary Data from Unique Clinicopathologic Features Characterize ALK-Rearranged Lung Adenocarcinoma in the Western Population
- Author
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Lucian R. Chirieac, A. John Iafrate, Bruce E. Johnson, Thomas Lynch, Pasi A. Janne, Eugene Mark, Neal Lindeman, Kenny Law, Hannah Stubbs, Justine A. Barletta, Alice Shaw, Beow Y. Yeap, Sanja Dacic, Mari Mino-Kenudson, and Scott J. Rodig
- Abstract
Supplementary Data from Unique Clinicopathologic Features Characterize ALK-Rearranged Lung Adenocarcinoma in the Western Population
- Published
- 2023
16. Data from Frequent Inactivation of RAMP2, EFEMP1 and Dutt1 in Lung Cancer by Promoter Hypermethylation
- Author
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Lin Zhang, Jian Yu, Jill M. Siegfried, Wei Zhou, Mingzhou Guo, Rodney Landreneau, Quanhong Sun, Sanja Dacic, and Wen Yue
- Abstract
Purpose: The goal of this study is to identify novel genes frequently silenced by promoter hypermethylation in lung cancer.Experimental Designs: Bioinformatic analysis was done to identify candidate genes significantly down-regulated in lung cancer. The effects of DNA methyltransferase inhibitor 5-aza-2′-deoxycytidine on the expression of the candidate genes were determined. Methylated CpG sites in the promoters of the candidate genes were identified using bisulfite DNA sequencing. Methylation-specific PCR was developed and used to analyze DNA methylation in cell lines and clinical specimen. Pathologic and functional analyses were done to study the role of one candidate gene, receptor activity-modifying protein 2 (RAMP2), in suppressing lung cancer cell growth.Results: Among 54 candidate genes down-regulated in lung cancer, 31 were found to contain CpG islands in their promoters. Six of these 31 genes could be reactivated by 5-aza-2′-deoxycytidine in at least four of six lung cancer cell lines analyzed. Promoter hypermethylation of RAMP2, epidermal growth factor–containing fibulin-like extracellular matrix protein 1, and deleted in U Twenty Twenty cells was detected in 36% to 77% of 22 lung cancer cell lines and in 38% to 50% of 32 primary lung tumors, whereas hypermethylathion of these genes was rarely found in the matched normal samples. The methylation frequencies of these genes in lung cancer were similar to those of commonly used methylation markers, such as RAS association domain family protein 1A, p16, and methylguanine-DNA methyltransferase. Immunohistochemistry showed that RAMP2 was down-regulated in a majority of lung tumors, and RAMP2 down-regulation was correlated with high tumor grade. Ectopic expression of RAMP2 inhibited lung cancer cell growth and caused apoptotic cell death. Knockdown of RAMP2 by RNA interference stimulated cell proliferation.Conclusions: Studying the newly identified genes may provide new insight into lung tumorigenesis. These genes might be useful as molecular markers of lung cancer.
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- 2023
17. Data from Unique Clinicopathologic Features Characterize ALK-Rearranged Lung Adenocarcinoma in the Western Population
- Author
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Lucian R. Chirieac, A. John Iafrate, Bruce E. Johnson, Thomas Lynch, Pasi A. Janne, Eugene Mark, Neal Lindeman, Kenny Law, Hannah Stubbs, Justine A. Barletta, Alice Shaw, Beow Y. Yeap, Sanja Dacic, Mari Mino-Kenudson, and Scott J. Rodig
- Abstract
Purpose: The anaplastic large cell kinase gene (ALK) is rearranged in ∼5% of lung adenocarcinomas within the Asian population. We evaluated the incidence and the characteristics of ALK-rearranged lung adenocarcinomas within the western population and the optimal diagnostic modality to detect ALK rearrangements in routine clinical practice.Experimental Design: We tested 358 lung adenocarcinomas from three institutions for ALK rearrangements by fluorescent in situ hybridization (FISH) and immunohistochemistry with and without tyramide amplification. The clinicopathologic characteristics of tumors with and without ALK rearrangements were compared.Results: We identified 20 (5.6%) lung adenocarcinomas with ALK rearrangements within our cohort of western patients. ALK rearrangement was associated with younger age (P = 0.0002), never smoking (P < 0.0001), advanced clinical stage (P = 0.0001), and a solid histology with signet-ring cells (P < 0.0001). ALK rearrangement was identified by FISH in 95% of cases and immunohistochemistry with and without tyramide amplification in 80% and 40% of cases, respectively, but neither FISH nor immunohistochemistry alone detected all cases with ALK rearrangement on initial screening. None of the ALK-rearranged tumors harbored coexisting EGFR mutations.Conclusions: Lung adenocarcinomas with ALK rearrangements are uncommon in the western population and represent a distinct entity of carcinomas with unique characteristics. For suspected cases, dual diagnostic testing, with FISH and immunohistochemistry, should be considered to accurately identify lung adenocarcinomas with ALK rearrangement. (Clin Cancer Res 2009;15(16):5216–23)
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- 2023
18. Data from Therapeutic targeting of human hepatocyte growth factor with a single neutralizing monoclonal antibody reduces lung tumorigenesis
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Jill M. Siegfried, Austin M. Dulak, K. Jin Kim, The Minh Luong, Sanja Dacic, Stephanie R. Land, Jinling Yin, Jide Jin, Phouthone Keohavong, Mary E. Rothstein, and Laura P. Stabile
- Abstract
The hepatocyte growth factor (HGF)/c-Met signaling pathway is involved in lung tumor growth and progression, and agents that target this pathway have clinical potential for lung cancer treatment. L2G7, a single potent anti-human HGF neutralizing monoclonal antibody, showed profound inhibition of human HGF-induced phosphorylated mitogen-activated protein kinase induction, wound healing, and invasion in lung tumor cells in vitro. Transgenic mice that overexpress human HGF in the airways were used to study the therapeutic efficacy of L2G7 for lung cancer prevention. Mice were treated with the tobacco carcinogen, nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone, over 4 weeks. Beginning at week 3, i.p. treatment with 100 μg L2G7 or isotype-matched antibody control, 5G8, was initiated and continued through week 15. The mean number of tumors per mouse in the L2G7-treated group was significantly lower than in the control group (1.58 versus 3.19; P = 0.0005). Proliferative index was decreased by 48% (P = 0.013) in tumors from L2G7-treated mice versus 5G8-treated mice, whereas extent of apoptosis was increased in these same tumors by 5-fold (P = 0.0013). Phosphorylated mitogen-activated protein kinase expression was also significantly decreased by 84% in tumors from L2G7-treated mice versus 5G8-treated mice (P = 0.0003). Tumors that arose in HGF transgenic animals despite L2G7 treatment were more likely to contain mutant K-ras, suggesting that targeting the HGF/c-Met pathway may not be as effective if downstream signaling is activated by a K-ras mutation. These preclinical results show that blocking the HGF/c-Met interaction with a single monoclonal antibody delivered systemically can have profound inhibitory effects on development of lung tumors. [Mol Cancer Ther 2008;7(7):1913–22]
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- 2023
19. Supplementary Fig. S1 from Therapeutic targeting of human hepatocyte growth factor with a single neutralizing monoclonal antibody reduces lung tumorigenesis
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Jill M. Siegfried, Austin M. Dulak, K. Jin Kim, The Minh Luong, Sanja Dacic, Stephanie R. Land, Jinling Yin, Jide Jin, Phouthone Keohavong, Mary E. Rothstein, and Laura P. Stabile
- Abstract
Supplementary Fig. S1 from Therapeutic targeting of human hepatocyte growth factor with a single neutralizing monoclonal antibody reduces lung tumorigenesis
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- 2023
20. Data from Combined Analysis of Estrogen Receptor β-1 and Progesterone Receptor Expression Identifies Lung Cancer Patients with Poor Outcome
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Jill M. Siegfried, Jennifer R. Grandis, Rodney J. Landreneau, Marie Acquafondata, Rajiv Dhir, Diana E. Lenzner, Stephanie R. Land, Sanja Dacic, and Laura P. Stabile
- Abstract
Purpose: Steroid hormones and growth factors affect lung cancer, and it is possible they act in concert to influence patient outcome.Experimental Design: Primary lung tumors and normal lung tissue were analyzed for expression and localization of estrogen receptor α and β-1 (ERα and ERβ), aromatase, progesterone receptor (PR), and epidermal growth factor receptor (EGFR).Results: Tumors expressed higher levels of ERβ compared to matched normal lung, whereas the reverse was true of PR. High cytoplasmic ERβ expression was identified as an independent negative prognostic predictor of overall survival (OS; HR = 1.67), and low total PR was identified as an independent negative predictor of time to progression (TTP; HR = 1.59). After adjusting for stage, age, sex, and smoking, combined high cytoplasmic ERβ and low total PR showed enhanced effects on OS (HR = 2.64) and on TTP (HR = 6.02). Further effects on OS were observed when EGFR expression was included (HR = 5.32). Patients with low cytoplasmic ERβ, low aromatase, low EGFR, and high total PR had shorter OS than patients with the opposite pattern (HR = 6.60). Contribution of these markers to survival showed no significant sex differences in a multivariable model. ERα was elevated in tumors but was not predictive of survival, and appears to represent a variant ERα protein that is only recognized by a C-terminal antibody.Conclusions: Hormonal and EGFR pathways together may contribute to lung cancer prognosis. Lung tumors with high ERβ-1/low PR may define patients with aggressive biology. A validation study is necessary to fully assess the predictive value of these markers. Clin Cancer Res; 17(1); 154–64. ©2010 AACR.
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- 2023
21. Supplementary Methods, Tables 1-5, Figures 1-3 from Frequent Inactivation of RAMP2, EFEMP1 and Dutt1 in Lung Cancer by Promoter Hypermethylation
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Lin Zhang, Jian Yu, Jill M. Siegfried, Wei Zhou, Mingzhou Guo, Rodney Landreneau, Quanhong Sun, Sanja Dacic, and Wen Yue
- Abstract
PDF file - 722K
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- 2023
22. The 2021 WHO Classification of Tumors of the Thymus and Mediastinum: What Is New in Thymic Epithelial, Germ Cell, and Mesenchymal Tumors?
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Philipp Ströbel, Hiroshi Inagaki, Lynette M. Sholl, Daisuke Nonaka, Alexander Marx, Andre L. Moreira, Edith M. Marom, Masayuki Noguchi, Sanja Dacic, Vincent Thomas de Montpréville, Christopher A. French, William D. Travis, Anja C. Roden, Arun Rajan, Jason L. Hornick, Alexander J. Lazar, Mauro Papotti, Hisashi Tateyama, Lara Chalabreysse, Stefan Porubsky, Deepali Jain, Mirella Marino, John K.C. Chan, Frank C. Detterbeck, and Andrew G. Nicholson
- Subjects
Pulmonary and Respiratory Medicine ,Pathology ,medicine.medical_specialty ,Lung Neoplasms ,Thymoma ,Adenocarcinoma ,Neuroendocrine tumors ,World Health Organization ,Thymic carcinoma ,03 medical and health sciences ,0302 clinical medicine ,Germ cell tumor ,medicine ,Humans ,NET G3 ,Thymic neuroendocrine tumor ,WHO classification ,030304 developmental biology ,0303 health sciences ,business.industry ,Mesenchymal stem cell ,Mediastinum ,Thymus Neoplasms ,medicine.disease ,3. Good health ,Germ Cells ,medicine.anatomical_structure ,Oncology ,030220 oncology & carcinogenesis ,Germ cell tumors ,business ,Clear cell ,Germ cell - Abstract
This overview of the fifth edition of the WHO classification of thymic epithelial tumors (including thymomas, thymic carcinomas, and thymic neuroendocrine tumors [NETs]), mediastinal germ cell tumors, and mesenchymal neoplasms aims to (1) list established and new tumor entities and subtypes and (2) focus on diagnostic, molecular, and conceptual advances since publication of the fourth edition in 2015. Diagnostic advances are best exemplified by the immunohistochemical characterization of adenocarcinomas and the recognition of genetic translocations in metaplastic thymomas, rare B2 and B3 thymomas, and hyalinizing clear cell carcinomas. Advancements at the molecular and tumor biological levels of utmost oncological relevance are the findings that thymomas and most thymic carcinomas lack currently targetable mutations, have an extraordinarily low tumor mutational burden, but typically have a programmed death-ligand 1high phenotype. Finally, data underpinning a conceptual advance are illustrated for the future classification of thymic NETs that may fit into the classification scheme of extrathoracic NETs. Endowed with updated clinical information and state-of-the-art positron emission tomography and computed tomography images, the fifth edition of the WHO classification of thymic epithelial tumors, germ cell tumors, and mesenchymal neoplasms with its wealth of new diagnostic and molecular insights will be a valuable source for pathologists, radiologists, surgeons, and oncologists alike. Therapeutic perspectives and research challenges will be addressed as well.
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- 2022
23. Pleural mesothelioma classification—update and challenges
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Sanja Dacic
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Pathology ,medicine.medical_specialty ,Pleural Neoplasms ,Disease ,Pathology and Forensic Medicine ,Diagnosis, Differential ,CDKN2A ,Biomarkers, Tumor ,Humans ,Medicine ,Mesothelioma ,neoplasms ,Grading (tumors) ,BAP1 ,Pleural mesothelioma ,business.industry ,Genes, p16 ,Tumor Suppressor Proteins ,Mesothelioma, Malignant ,respiratory system ,Prognosis ,medicine.disease ,respiratory tract diseases ,Effusion ,Pleura ,Immunohistochemistry ,business ,Ubiquitin Thiolesterase - Abstract
Mesothelial tumors are classified into benign or preinvasive tumors, and mesotheliomas. The benign or preinvasive group includes adenomatoid tumors, well-differentiated papillary mesothelial tumors, and mesothelioma in situ. Malignant tumors are mesotheliomas and can be localized or diffuse. Histological classification of invasive mesotheliomas into three major subtypes-epithelioid, sarcomatoid, and biphasic is prognostically important. It also plays a significant role in the treatment decisions of patients diagnosed with this deadly disease. Grading and subtyping of epithelioid mesotheliomas have been one of the major changes in the recent WHO classification of pleural tumors. Mesothelioma in situ has emerged as a precisely defined clinico-pathologic entity that for diagnosis requires demonstration of loss of BAP1 or MTAP by immunohistochemistry, or CDKN2A homozygous deletion by FISH. The use of these two biomarkers improves the diagnostic sensitivity of effusion specimens and limited tissue samples and is valuable in establishing the diagnosis of epithelioid mesothelioma. In this review, recent changes in the histologic classification of pleural mesothelioma, importance of ancillary diagnostic studies, and molecular characteristics of mesotheliomas are discussed.
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- 2022
24. Solid papillary mesothelial tumor
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Ruth Sequeiros, Franck Tirode, Nolwenn Le Stang, Sanja Dacic, Jean-Claude Pairon, Andrew Churg, Hugues Begueret, Sophie Giusiano-Courcambeck, Daniel Pissaloux, Francoise Galateau-Sallé, and Peggy Dartigues
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BAP1 ,Pathology ,medicine.medical_specialty ,Adenomatoid tumor ,business.industry ,medicine.disease ,Pathology and Forensic Medicine ,CDKN2A ,Second look operation ,medicine ,Immunohistochemistry ,Mesothelioma ,business ,Mesothelial Tumor ,Mesothelial Cell - Abstract
We report nine examples of a previously undescribed type of peritoneal circumscribed nodular mesothelial tumor characterized by nests or sheets of mesothelial cells with sharp cell borders and extremely bland, sometimes grooved, nuclei. In some cases, nests were separated by fibrous bands. All patients were women, age range 30-72 years (median 52 years). All tumors were incidental findings during surgery and grossly were either solitary nodules or a few small nodules on the peritoneal surface. Referring pathologic diagnoses included diffuse malignant mesothelioma, localized malignant mesothelioma, well-differentiated papillary mesothelioma, and adenomatoid tumor. No tumor showed BAP1 loss by immunohistochemistry nor deletion of CDKN2A by FISH. RNA-seq revealed that these tumors clustered together and were distinct from peritoneal diffuse malignant mesotheliomas. Very few mutations or translocations were found, none of them recurrent from tumor to tumor, and no tumor showed an abnormality in any of the genes typically mutated/deleted in diffuse malignant mesothelioma. Array CGH on three cases revealed two with a completely flat profile and one with a small deletion at 3q26-3q28. On follow-up (range 5-60, median 34 months), there were no deaths, no recurrences, and no evidence of metastatic disease nor local spread; one case that initially had scattered nodules on the pelvic peritoneum had the same pattern of nodules at a second look operation 2 years later. We propose the name solid papillary mesothelial tumor for these lesions. These appear to be either benign or very low-grade tumors that need to be separated from malignant mesotheliomas.
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- 2022
25. Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations
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Hossein Farahani, Ali Bashashati, Steven J.M. Jones, Joanne L. Wright, Lucian R. Chirieac, Adrian B. Levine, Julia R. Naso, Sanja Dacic, Chi Lai, Hui-Min Yang, Stephen Yip, and Andrew Churg
- Subjects
0301 basic medicine ,Pathology ,medicine.medical_specialty ,Training set ,medicine.diagnostic_test ,business.industry ,Sarcomatoid Mesothelioma ,Malignancy ,medicine.disease ,Pathology and Forensic Medicine ,Ancillary test ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Expert opinion ,Biopsy ,medicine ,Patient treatment ,business - Abstract
Sarcomatoid mesothelioma is an aggressive malignancy that can be challenging to distinguish from benign spindle cell mesothelial proliferations based on biopsy, and this distinction is crucial to patient treatment and prognosis. A novel deep learning based classifier may be able to aid pathologists in making this critical diagnostic distinction. SpindleMesoNET was trained on cases of malignant sarcomatoid mesothelioma and benign spindle cell mesothelial proliferations. Performance was assessed through cross-validation on the training set, on an independent set of challenging cases referred for expert opinion (‘referral’ test set), and on an externally stained set from outside institutions (‘externally stained’ test set). SpindleMesoNET predicted the benign or malignant status of cases with AUC’s of 0.932, 0.925, and 0.989 on the cross-validation, referral and external test sets, respectively. The accuracy of SpindleMesoNET on the referral set cases (92.5%) was comparable to the average accuracy of 3 experienced pathologists on the same slide set (91.7%). We conclude that SpindleMesoNET can accurately distinguish sarcomatoid mesothelioma from benign spindle cell mesothelial proliferations. A deep learning system of this type holds potential for future use as an ancillary test in diagnostic pathology.
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- 2021
26. Neoadjuvant osimertinib with/without chemotherapy versus chemotherapy alone for EGFR-mutated resectable non-small-cell lung cancer: NeoADAURA
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Collin M. Blakely, Masahiro Tsuboi, Jianxing He, C. Escriu, Lingmin Zeng, Sanja Dacic, Walter Weder, Jamie E. Chaft, Yasushi Yatabe, and Andrew Walding
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Oncology ,Cancer Research ,Lung Neoplasms ,EGFR-tyrosine kinase inhibitor ,medicine.medical_treatment ,030204 cardiovascular system & hematology ,T790M ,0302 clinical medicine ,Carcinoma, Non-Small-Cell Lung ,Clinical endpoint ,Medicine ,Osimertinib ,Stage (cooking) ,Non-Small-Cell Lung ,Lung ,Cancer ,Aniline Compounds ,Lung Cancer ,General Medicine ,Neoadjuvant Therapy ,ErbB Receptors ,Tolerability ,osimertinib ,resectable ,6.1 Pharmaceuticals ,030220 oncology & carcinogenesis ,EGFR-TKI-sensitizing mutations ,medicine.medical_specialty ,Clinical Trial Protocol ,Clinical Trials and Supportive Activities ,Oncology and Carcinogenesis ,03 medical and health sciences ,Clinical Research ,Internal medicine ,Humans ,Oncology & Carcinogenesis ,Lung cancer ,Pathological ,Acrylamides ,Chemotherapy ,business.industry ,neoadjuvant ,Carcinoma ,Evaluation of treatments and therapeutic interventions ,medicine.disease ,Good Health and Well Being ,non-small-cell lung cancer ,Mutation ,Quality of Life ,business - Abstract
Osimertinib is a third-generation, irreversible oral EGFR-tyrosine kinase inhibitor), that potently inhibits EGFR-tyrosine kinase inhibitor-sensitizing mutations and T790M resistance mutations together with efficacy in CNS metastases in patients with non-small-cell lung cancer (NSCLC). Here we describe the rationale and design for the Phase III NeoADAURA study (NCT04351555), which will evaluate neoadjuvant osimertinib with or without chemotherapy versus chemotherapy alone prior to surgery, in patients with resectable stage II–IIIB N2 EGFR mutation-positive NSCLC. The primary end point is centrally assessed major pathological response at the time of resection. Secondary end points include event-free survival, pathological complete response, nodal downstaging at the time of surgery, disease-free survival, overall survival and health-related quality of life. Safety and tolerability will also be assessed. Trial Registration number: NCT04351555 (ClinicalTrials.gov), Lay abstract A plain language version of this article is available and is published alongside the paper online: www.futuremedicine.com/doi/suppl/10.2217/fon-2021-0549
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- 2021
27. Defining morphologic features of invasion in pulmonary non-mucinous adenocarcinoma with lepidic growth - A proposal by the IASLC Pathology Committee
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Erik, Thunnissen, Mary Beth, Beasley, Alain, Borczuk, Sanja, Dacic, Keith M, Kerr, Yuko, Minami, Andrew G, Nicholson, Lynette, Sholl, Ming-Sound, Tsao, Masayuki, Noguchi, Birgit, Lissenberg-Witte, John, Le Quesne, Anja C, Roden, Jin-Haeng, Chung, Akihiko, Yoshida, Andre L, Moreira, Sylvie, Lantuejoul, Giuseppe, Pelosi, Claudia, Poleri, David, Hwang, Deepali, Jain, William D, Travis, Elisabeth, Brambilla, Gang, Chen, Johan, Botling, Lukas, Bubendorf, Mari, Mino-Kenudson, Noriko, Motoi, Teh Ying, Chou, Mauro, Papotti, Yasushi, Yatabe, and Wendy, Cooper
- Abstract
Since the 8A Delphi approach was used with two rounds of blinded anonymized analysis of resected non-mucinous lung adenocarcinoma cases with presumed invasive and non-invasive components, followed by one round of reviewer de-anonymized and unblinded review of cases with known outcomes. A digital pathology platform was used for measuring total tumor size and invasive tumor size.The mean coefficient of variation for measuring total tumor size and tumor invasive size was 6.9% (range 1.7-22.3%) and 54% (range 14.7-155%), respectively, with substantial variations in interpretation of the size and location of invasion among pathologists. Following the presentation of the results and further discussion among members at large of the IASLC Pathology Committee, extensive epithelial proliferation (EEP) in areas of collapsed lepidic growth pattern is recognized as a feature likely to be associated with invasive growth. EEP is characterized by multilayered luminal epithelial cell growth, usually with high grade cytological features in several alveolar spaces.Collapsed alveoli and transition zones with EEP were identified by the Delphi process as morphologic features that were a source of interobserver variability. Definition criteria for collapse and EEP are proposed to improve reproducibility of invasion measurement.
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- 2022
28. The Pathologists' Conundrum
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David L. Rimm, Sanja Dacic, and Stuart J. Schnitt
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Medical Laboratory Technology ,General Medicine ,Pathology and Forensic Medicine - Published
- 2022
29. Broad Severe Acute Respiratory Syndrome Coronavirus 2 Cell Tropism and Immunopathology in Lung Tissues From Fatal Coronavirus Disease 2019
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Emilia Mia Sordillo, Carlos Cordon-Cardo, Zachary Grimes, Alberto E. Paniz Mondolfi, Suzane Ramos da Silva, Enguo Ju, Wen Meng, Clare Bryce, Anthony Green, Mary Fowkes, Haitao Guo, Sanja Dacic, and Shou-Jiang Gao
- Subjects
Adult ,Male ,0301 basic medicine ,Inflammation ,medicine.disease_cause ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,Major Article ,medicine ,Humans ,thromboemboli ,Immunology and Allergy ,Cytotoxic T cell ,immunofluorescence assay ,Diffuse alveolar damage ,Lung ,Tropism ,Aged ,Coronavirus ,immunosuppression ,Innate immune system ,cell tropism ,SARS-CoV-2 ,business.industry ,COVID-19 ,Middle Aged ,Immunity, Innate ,IL6 ,Pulmonary Alveoli ,Viral Tropism ,AcademicSubjects/MED00290 ,diffuse alveolar damage ,030104 developmental biology ,Infectious Diseases ,inflammation ,030220 oncology & carcinogenesis ,immunohistochemistry ,Immunology ,Tissue tropism ,Female ,medicine.symptom ,business - Abstract
Background Coronavirus disease 2019 (COVID-19) patients manifest with pulmonary symptoms reflected by diffuse alveolar damage (DAD), excessive inflammation, and thromboembolism. The mechanisms mediating these processes remain unclear. Methods We performed multicolor staining for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) proteins and lineage markers to define viral tropism and lung pathobiology in 5 autopsy cases. Results Lung parenchyma showed severe DAD with thromboemboli. Viral infection was found in an extensive range of cells including pneumocyte type II, ciliated, goblet, club-like, and endothelial cells. More than 90% of infiltrating immune cells were positive for viral proteins including macrophages, monocytes, neutrophils, natural killer (NK) cells, B cells, and T cells. Most but not all infected cells were angiotensin-converting enzyme 2 (ACE2) positive. The numbers of infected and ACE2-positive cells are associated with extensive tissue damage. Infected tissues exhibited high levels of inflammatory cells including macrophages, monocytes, neutrophils, and NK cells, and low levels of B cells but abundant T cells consisting of mainly T helper cells, few cytotoxic T cells, and no regulatory T cells. Robust interleukin-6 expression was present in most cells, with or without infection. Conclusions In fatal COVID-19 lungs, there are broad SARS-CoV-2 cell tropisms, extensive infiltrated innate immune cells, and activation and depletion of adaptive immune cells, contributing to severe tissue damage, thromboemboli, excess inflammation, and compromised immune responses.
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- 2021
30. Abstract 777: Super-resolution imaging of heterochromatin structure detects early events in lung cancer
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Laura P. Stabile, Xuejiao Sun, Jianquan Xu, Beatriz Kanterewicz, David O. Wilson, Sanja Dacic, Lora H. Rigatti, Brenda Diergaarde, and Yang Liu
- Subjects
Cancer Research ,Oncology - Abstract
Early detection of lung cancer is essential to reduce lung cancer-related morbidity and mortality. Despite significant efforts, current approaches suffer from high false-positive rates or limited sensitivity. There is a critical need for non-invasive, cost-effective technologies that detect the early changes in lung carcinogenesis with high sensitivity and specificity. Abnormal chromatin structure is one of the hallmarks of cancer cells and is independent of molecular pathways making it an attractive target for early cancer detection. In this study, we assessed the use of super-resolution stochastic optical reconstruction microscopy (STORM) to detect abnormal heterochromatin disruption in lung carcinogenesis. First, utilizing a mouse model of tobacco carcinogen (NNK)-induced lung adenocarcinoma, we analyzed heterochromatin structure in the lungs of NNK-treated mice at 8, 15 and 20 weeks post-NNK exposure together with non-treated control mice at the same time points. Super-resolution images of NNK-induced lung lesions at all time points showed significant disruption of condensed heterochromatin nanodomains compared to normal alveolar epithelial cells from the control mice, consistent with our data from other tumor types. Importantly, the normal-appearing bronchial epithelial cell nuclei from NNK-treated mice also showed significant heterochromatin disruption in NNK-treated mice at 15 and 20 weeks (P< 0.0001), demonstrating that this method can detect early changes. Next, we sought to confirm this in humans. Super-resolution imaging showed that, compared to normal alveolar and bronchial epithelial cells from control subjects without cancer, the heterochromatin structure was more disrupted in tumor cells from patients with lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). We also observed significant disrupted heterochromatin structure in tumor-adjacent normal tissue at the tumor margin. Lastly, we performed a pilot study on bronchial epithelial cells isolated from sputum samples from 11 cigarette smokers with or without lung cancer. The heterochromatin structure in the bronchial epithelial cells collected from lung cancer patients at the time of diagnosis was significantly more disrupted than those from smokers without lung cancer (P= 0.004). Our results support disrupted heterochromatin structure as an early event in lung carcinogenesis and demonstrate the feasibility of utilizing super-resolution imaging of heterochromatin structure for early detection of lung cancer using sputum samples. Citation Format: Laura P. Stabile, Xuejiao Sun, Jianquan Xu, Beatriz Kanterewicz, David O. Wilson, Sanja Dacic, Lora H. Rigatti, Brenda Diergaarde, Yang Liu. Super-resolution imaging of heterochromatin structure detects early events in lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 777.
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- 2023
31. Abstract 6042: Targeting metabolic vulnerabilities in MET-driven lung cancer brain metastases
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Kasey R. Cargill, Sanja Dacic, Riyue Bao, Bharathri Sivakama, Eric S. Goetzman, Steven J. Mullett, Stacy G. Wendell, Sameer Agnihotri, Laura P. Stabile, and Timothy F. Burns
- Subjects
Cancer Research ,Oncology - Abstract
Non-small cell lung cancer (NSCLC) has the highest incidence of brain metastases (BM) with almost 40% of lung cancer patients developing BM throughout the course of their disease. The presence of BM portends an extremely poor prognosis even when extracranial disease is controlled and remains a major clinical problem. To date, there are no BM-specific targeted therapies available. MET is a receptor tyrosine kinase that, upon binding hepatocyte growth factor (HGF), mediates proliferation, epithelial-mesenchymal transition, invasion, angiogenesis and metastasis. The MET pathway has emerged as a targetable oncogenic driver of NSCLC BM; however, almost half of patients with MET alterations fail to respond to MET tyrosine kinase inhibitors (TKIs). Interestingly, we identified a significant enrichment of MET amplification in lung adenocarcinoma (LUAD) BM (16%) compared to primary LUAD (3%) or liver metastases (5%). Subsequent RNA-sequencing and Gene Set Enrichment Analysis of MET-amplified and non-MET amplified LUAD BM identified many dysregulated pathways including those involved in cellular metabolism. In contrast to previous reports in melanoma which found that oxidative phosphorylation was the dominant metabolic pathway in BM, we found that genes involved in glycolysis and glutamine catabolism were increased in the high MET expressing cell lines compared to low MET expressing cell lines. We confirmed glycolytic pathway up-regulation by evaluating the activity of hexokinase 1 and 2 (HK1, HK2), glutaminase (GLS), and lactate dehydrogenase (LDHA) in a MET-amplified metastatic line (H1993) compared to a MET wild-type NSCLC cell line (H2073) derived from the same patient. Further, bioenergetic analysis revealed that H1993 cells were more metabolically active, generated higher levels of ATP, and exhibited increased glycolysis compared to H2073 cells. The enhanced metabolic activity of H1993 cells increased their susceptibility to glucose deprivation and metabolic inhibitors, supporting that metabolic reprogramming is important for MET-driven disease. Additionally, untargeted metabolomics of MET amplified compared to non-MET amplified cells identified alterations in numerous amino acid catabolism pathways, including glutathione biosynthesis among other novel pathways. Treatment with the MET TKI capmatinib similarly reduced glycolysis-associated gene expression, oxygen consumption, extracellular acidification, and amino acid catabolism generating a metabolic phenotype more comparable to non-MET amplified NSCLC. Together, our data show MET-amplified NSCLC BM undergo metabolic reprogramming, which can be inhibited to suppress tumor growth. Current and future experiments are exploring whether we can specifically target MET altered BM with glycolytic inhibitors. Citation Format: Kasey R. Cargill, Sanja Dacic, Riyue Bao, Bharathri Sivakama, Eric S. Goetzman, Steven J. Mullett, Stacy G. Wendell, Sameer Agnihotri, Laura P. Stabile, Timothy F. Burns. Targeting metabolic vulnerabilities in MET-driven lung cancer brain metastases. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6042.
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- 2023
32. Whole exome sequencing reveals BAP1 somatic abnormalities in mesothelioma in situ
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Maureen A. Lyons, Andrew Churg, Sanja Dacic, Jan H. von der Thüsen, Françoise Galateau-Sallé, Somak Roy, and Pathology
- Subjects
Mesothelioma ,0301 basic medicine ,Pulmonary and Respiratory Medicine ,Cancer Research ,Lung Neoplasms ,Population ,03 medical and health sciences ,0302 clinical medicine ,Germline mutation ,Exome Sequencing ,medicine ,Humans ,Genetic Predisposition to Disease ,education ,neoplasms ,Exome sequencing ,education.field_of_study ,BAP1 ,Splice site mutation ,business.industry ,Tumor Suppressor Proteins ,Point mutation ,respiratory system ,medicine.disease ,respiratory tract diseases ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,Cancer research ,Peritoneal mesothelioma ,business ,Ubiquitin Thiolesterase - Abstract
Objectives We have recently described the first cases of mesothelioma in situ, identified as a pure surface population of mesothelial cells that have lost BAP1 nuclear staining, in the setting of no clinically/radiologically demonstrable mesothelial tumor. These cases have a high propensity to develop invasive mesothelioma. The genetic events that lead to the development of mesothelioma in situ are unknown, nor is it known whether mesothelioma in situ cases carry somatic or germline mutations. Material and methods Whole exome sequencing (WES) was performed on two cases of mesothelioma in situ (1 pleural, 1 peritoneal) and paired formalin fixed paraffin embedded normal tissue to characterize driver mutations and copy number alterations. Results The analysis demonstrated somatic alterations in the BAP1 gene only. The pleural mesothelioma in situ showed copy number loss and LOH in the BAP1 locus on chromosome 3. The peritoneal mesothelioma in situ showed both a BAP1 somatic splice site mutation involving intron 5-exon 6 boundary (A126_splice) with an allelic fraction of 10%, and BAP1 copy number loss. No other driver point mutations, indels or somatic DNA copy number alterations reported to occur in invasive mesothelioma, or novel genetic alterations, were identified. Conclusion Whole exome sequencing confirms that mesothelioma in situ development is associated with BAP1 somatic mutations/deletions, and suggests that BAP1 mutation/deletion represents a very early event in the development of malignant mesothelioma. Whether BAP1 mutation/deletion alone is sufficient to lead to invasive mesothelioma or whether additional genetic alterations are required remains to be determined.
- Published
- 2020
33. Collection and Handling of Thoracic Small Biopsy and Cytology Specimens for Ancillary Studies: Guideline From the College of American Pathologists in Collaboration With the American College of Chest Physicians, Association for Molecular Pathology, American Society of Cytopathology, American Thoracic Society, Pulmonary Pathology Society, Papanicolaou Society of Cytopathology, Society of Interventional Radiology, and Society of Thoracic Radiology
- Author
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Nicholas J. Pastis, Sinchita Roy-Chowdhuri, Paul A. VanderLaan, Claire W. Michael, Momen M. Wahidi, Jan A. Nowak, Lester J. Layfield, Christopher Lee, Lonny Yarmus, Amita Sharma, Peter B. Illei, Jesse S. Voss, Lesley Souter, Christopher R. Gilbert, Boris Nikolic, Carol A. Rauch, Jason W. Mitchell, Sanja Dacic, Nicole Thomas, Brooke L. Billman, Mohiedean Ghofrani, and Ross A. Miller
- Subjects
medicine.medical_specialty ,medicine.diagnostic_test ,Molecular pathology ,business.industry ,General surgery ,MEDLINE ,Papanicolaou stain ,Interventional radiology ,General Medicine ,Guideline ,medicine.disease ,Pathology and Forensic Medicine ,03 medical and health sciences ,Medical Laboratory Technology ,0302 clinical medicine ,030228 respiratory system ,Cytopathology ,030220 oncology & carcinogenesis ,Biopsy ,medicine ,Pulmonary pathology ,business - Abstract
Context.— The need for appropriate specimen use for ancillary testing has become more commonplace in the practice of pathology. This, coupled with improvements in technology, often provides less invasive methods of testing, but presents new challenges to appropriate specimen collection and handling of these small specimens, including thoracic small biopsy and cytology samples. Objective.— To develop a clinical practice guideline including recommendations on how to obtain, handle, and process thoracic small biopsy and cytology tissue specimens for diagnostic testing and ancillary studies. Methods.— The College of American Pathologists convened an expert panel to perform a systematic review of the literature and develop recommendations. Core needle biopsy, touch preparation, fine-needle aspiration, and effusion specimens with thoracic diseases including malignancy, granulomatous process/sarcoidosis, and infection (eg, tuberculosis) were deemed within scope. Ancillary studies included immunohistochemistry and immunocytochemistry, fluorescence in situ hybridization, mutational analysis, flow cytometry, cytogenetics, and microbiologic studies routinely performed in the clinical pathology laboratory. The use of rapid on-site evaluation was also covered. Results.— Sixteen guideline statements were developed to assist clinicians and pathologists in collecting and processing thoracic small biopsy and cytology tissue samples. Conclusions.— Based on the systematic review and expert panel consensus, thoracic small specimens can be handled and processed to perform downstream testing (eg, molecular markers, immunohistochemical biomarkers), core needle and fine-needle techniques can provide appropriate cytologic and histologic specimens for ancillary studies, and rapid on-site cytologic evaluation remains helpful in appropriate triage, handling, and processing of specimens.
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- 2020
34. Testing for BAP1 loss and CDKN2A/p16 homozygous deletion improves the accurate diagnosis of mesothelial proliferations in effusion cytology
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Sanja Dacic, Sara E. Monaco, Françoise Galateau-Sallé, Martin Chevrier, Jacob A. Jerome, and Andrew Churg
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Adult ,Male ,Cancer Research ,medicine.medical_specialty ,Cytodiagnosis ,Pleural Neoplasms ,Malignancy ,Young Adult ,Cytology ,Biopsy ,Biomarkers, Tumor ,medicine ,Humans ,Genetic Testing ,Mesothelioma ,Cyclin-Dependent Kinase Inhibitor p16 ,Peritoneal Neoplasms ,Aged ,Retrospective Studies ,Sequence Deletion ,Aged, 80 and over ,medicine.diagnostic_test ,business.industry ,Tumor Suppressor Proteins ,Homozygote ,Mesothelioma, Malignant ,Retrospective cohort study ,Middle Aged ,Prognosis ,medicine.disease ,Pleural Effusion ,Oncology ,Effusion ,Cytopathology ,Female ,Radiology ,business ,Ubiquitin Thiolesterase ,Follow-Up Studies ,Fluorescence in situ hybridization - Abstract
BACKGROUND A number of ancillary tests have been developed that aid in the diagnosis of mesothelioma in cytology specimens. The aim of this retrospective study was to determine whether testing for BAP1 and CDKN2A/p16 status in effusion specimens preceding the tissue diagnosis of mesothelioma would improve diagnostic accuracy and allow an earlier diagnosis of malignancy. METHODS The study cohort included 99 matched cytology fluid specimens from 74 patients with a surgical specimen diagnosis of malignant mesothelioma (67 epithelioid, 7 biphasic, 55 pleural, and 19 peritoneal). BAP1 immunohistochemistry and p16 fluorescence in situ hybridization (FISH) were performed retrospectively. RESULTS BAP1 or p16 FISH testing revealed a loss in 7 of 18 (39%) samples originally categorized as benign/reactive, 20 of 33 (61%) interpretable samples categorized as atypical, and 10 of 14 (71%) cases suspicious for mesothelioma. In some cases, the diagnosis of mesothelioma could have been made up to 9 months before biopsy. Similarly, loss of BAP1 or p16 was found in 28 of 30 (93%) samples categorized as malignant, with some cases diagnosable up to 6 months before biopsy. Overall, loss of BAP1 and/or CDKN2A/p16 homozygous deletion would change the diagnostic interpretation in 37 of 60 (62%) (P = .07) effusion specimens, particularly in pleural effusions (32 of 48 samples) (P = .002). The sensitivity of morphologic interpretation alone was 30.3%; however, adding testing for BAP1 and p16 resulted in an increase in sensitivity to 68.7%. (P
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- 2020
35. Quantitative image analysis for <scp>CD</scp> 8 score in lung small biopsies and cytology cell‐blocks
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Juan Xing, Sara E. Monaco, Sanja Dacic, Liron Pantanowitz, Lindsey Seigh, and Douglas J. Hartman
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Adult ,Male ,Core needle ,Histology ,Cytodiagnosis ,Concordance ,030209 endocrinology & metabolism ,CD8-Positive T-Lymphocytes ,Article ,Pathology and Forensic Medicine ,03 medical and health sciences ,Lymphocytes, Tumor-Infiltrating ,0302 clinical medicine ,Carcinoma, Non-Small-Cell Lung ,Cytology ,Image Processing, Computer-Assisted ,Humans ,Medicine ,Cell block ,Aged ,Aged, 80 and over ,Lung ,business.industry ,General Medicine ,Middle Aged ,medicine.anatomical_structure ,Cytopathology ,030220 oncology & carcinogenesis ,Immunohistochemistry ,Female ,Biopsy, Large-Core Needle ,business ,Nuclear medicine ,CD8 ,T-Lymphocytes, Cytotoxic - Abstract
Introduction Immunotherapy has shown promising results in non-small cell lung cancer (NSCLC), for which tumour-infiltrating cytotoxic (CD8+) T cells play a critical role. We investigated the utility of image analysis (IA) to quantify CD8+ T cells in a series of matched small biopsies and resections of NSCLC. Methods CD8 immunohistochemistry was performed on cell-blocks (CB), core needle biopsies (CNB) and corresponding resections from primary NSCLCs. Slides were digitised using an Aperio AT2 scanner (Leica) and annotated by whole slide image (WSI) or fields of view occupied by tissue spots (TS). Quantitative IA was performed with a customised Aperio algorithm (Leica). CD8 scores (number of T cells with 1-3+ staining/total area) were then compared. Results Forty-four cases with CB or CNB material and a corresponding resection were analysed. Average CD8 score was determined in CB (7.67 WSI, 77.67 TS) and/or CNB (47.35 WSI, 325.67 TS), and corresponding resections (190.35 WSI, 336.58 TS). CD8 score concordance was highest (78.6%) for CNBs using WSI annotation. Overall, small biopsies (CB or CNB) correlated with the resection in 71.4% cases using WSI and 63.3% cases using TS annotation. IA performed better for low CD8 scores. Conclusions These findings show that CD8 density in NSCLC can be quantified by IA in small biopsies and cell blocks, achieving the best concordance using WSI scores. Discrepancies were attributed to values near the cut-off and background detection of staining. These data warrant future studies with more cases and follow-up data to further investigate the clinical utility of IA for CD8 analysis in NSCLC.
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- 2020
36. MTAP immunohistochemistry is an accurate and reproducible surrogate for CDKN2A fluorescence in situ hybridization in diagnosis of malignant pleural mesothelioma
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Kyra B. Berg, Françoise Galateau-Sallé, Kazuki Nabeshima, Carrie Fitzpatrick, Thomas Krausz, Jefree J. Schulte, Sanja Dacic, Nolwenn Le Stang, Kenzo Hiroshima, Stephanie M. McGregor, David B. Chapel, Aliya N. Husain, and Andrew Churg
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0301 basic medicine ,BAP1 ,Pathology ,medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,In situ hybridization ,medicine.disease ,Stain ,Pathology and Forensic Medicine ,Staining ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,CDKN2A ,030220 oncology & carcinogenesis ,Medicine ,Immunohistochemistry ,Mesothelioma ,business ,neoplasms ,Fluorescence in situ hybridization - Abstract
Ancillary studies facilitate accurate diagnosis of morphologically challenging mesothelial proliferations. The current diagnostic algorithm proceeds from BAP1 immunohistochemistry to CDKN2A fluorescence in situ hybridization. While MTAP immunohistochemistry has recently shown promise as a surrogate for CDKN2A fluorescence in situ hybridization, it has been examined in only a few single-institution studies. Furthermore, there are no published reports on interobserver agreement or interlaboratory reproducibility for MTAP immunohistochemistry. We performed MTAP immunohistochemistry on 20 benign mesothelial lesions and 99 malignant mesotheliomas from five mesothelioma centers in four countries, and each MTAP stain was independently interpreted by four pathologists. CDKN2A fluorescence in situ hybridization data were available for a subset of cases, and a subset of cases was subjected in MTAP immunohistochemistry in multiple laboratories to assess interlaboratory reproducibility. Interobserver agreement in MTAP immunostain interpretation was excellent for all mesothelial lesions (kappa: 0.85) and for malignant mesothelioma cases only (kappa: 0.82). Interlaboratory reproducibility was also excellent (kappa values for paired protocols: 0.77–0.89). MTAP loss by immunohistochemistry was 78% sensitive and 96% specific for CDKN2A homozygous deletion. MTAP immunohistochemistry is a reliable surrogate for CDKN2A fluorescence in situ hybridization in diagnosis of malignant mesothelioma. Interobserver agreement is excellent for interpretation of MTAP staining, and protocols performed in different laboratories yield concordant MTAP staining results. Rare cases with immunohistochemical MTAP loss may retain normal CDKN2A copy number, and the MTAP staining results should be correlated with clinicopathologic findings and other ancillary studies.
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- 2020
37. Interobserver variation in the assessment of the sarcomatoid and transitional components in biphasic mesotheliomas
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Henry D. Tazelaar, Françoise Galateau-Sallé, Sanja Dacic, Kelly J. Butnor, Sylvie Lantuejoul, Anja C. Roden, Birgit Weynand, Nolwenn Le Stang, Allen R. Gibbs, Sonja Klebe, Jean Michel Vignaud, Aliya N. Husain, David B. Chapel, Victor L. Roggli, and Mary Beth Beasley
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0301 basic medicine ,BAP1 ,Pathology ,medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,Biphasic Mesothelioma ,medicine.disease ,Pathology and Forensic Medicine ,03 medical and health sciences ,Cytokeratin ,030104 developmental biology ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Predictive value of tests ,Biopsy ,medicine ,Mesothelioma ,Differential diagnosis ,business ,Epithelioid cell - Abstract
The percentage of sarcomatoid component has an impact on prognosis in patients with biphasic malignant pleural mesothelioma. Recent study showed that the transitional pattern similar to sarcomatoid component of malignant mesothelioma has negative prognostic significance. Practice guidelines recommend quantification of sarcomatoid component despite poor diagnostic reproducibility of biphasic mesothelioma among thoracic pathologists. The aim of this study was to determine the interobserver agreement in the quantification of sarcomatoid component, and in the diagnosis of a transitional component in the biphasic malignant mesothelioma. Thirteen experts in thoracic pathology reviewed the representative H&E and cytokeratin whole-slide images of the 54 biphasic mesotheliomas, without knowledge of BAP1 or p16 deletion status, and completed the survey of 25 questions. The overall interobserver agreement in the assessment of the percentage of the sarcomatoid component in 25% increments was good (wK = 0.62). Excellent agreement was present in 14 of 54 cases (26%), and 3 cases were unanimously scored. Excellent agreement was reached for the cases with 0–24% and > 75% of the sarcomatoid component.The most commonly used criteria for the diagnosis of sarcomatoid component were malignant spindle cells, frank sarcomatoid features and high N/C ratio. The overall interobserver agreement for transitional pattern was fair (wK = 0.40). Unanimous opinion about the absence of transitional pattern was observed in only one case. At least 70% agreement regarding the presence of transitional pattern was observed in 12 cases, with the rest of the cases showing a wide range of disagreement. Morphologic characteristics that favor transitional pattern over non-transitional include sheet-like growth of cohesive, plump, elongated epithelioid cells with well-defined cell borders and a tendency to transition into spindle cells. Our study defined precise morphologic criteria that may be used in the differential diagnosis between transitional pattern and other mesothelioma subtypes including sarcomatoid and epithelioid.
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- 2020
38. Usefulness of methylthioadenosine phosphorylase and BRCA‐associated protein 1 immunohistochemistry in the diagnosis of malignant mesothelioma in effusion cytology specimens
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Simon Cheung, Kyra B. Berg, Sanja Dacic, and Andrew Churg
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Mesothelioma ,Cancer Research ,Pathology ,medicine.medical_specialty ,Lung Neoplasms ,Biopsy ,Malignancy ,Cytology ,Biomarkers, Tumor ,medicine ,Humans ,Cyclin-Dependent Kinase Inhibitor p16 ,In Situ Hybridization, Fluorescence ,Pleural Cavity ,medicine.diagnostic_test ,business.industry ,Tumor Suppressor Proteins ,Mesothelioma, Malignant ,medicine.disease ,Immunohistochemistry ,Pleural Effusion, Malignant ,Staining ,Purine-Nucleoside Phosphorylase ,Oncology ,Effusion ,Differential diagnosis ,business ,Ubiquitin Thiolesterase ,Gene Deletion ,Fluorescence in situ hybridization - Abstract
Background The separation of benign from malignant mesothelial proliferations on effusion cytology can be difficult. Loss of methylthioadenosine phosphorylase (MTAP) by immunohistochemistry is an established marker of malignancy in mesothelial proliferations, but to the authors' knowledge largely has been applied only to biopsies. The current study was conducted to determine the usefulness of MTAP immunohistochemistry in the diagnosis of malignant mesothelioma in effusion cytology specimens. Methods A total of 21 effusion cytology cases of malignant mesothelioma were stained for MTAP and BRCA-associated protein 1 (BAP1), with 15 reactive mesothelial cytology cases used as a control. Fourteen cases had a paired surgical specimen for comparison, and 7 cases were run for CDKN2A deletion by fluorescence in situ hybridization. Results Complete loss of MTAP cytoplasmic staining was noted in 7 of 21 effusion samples (33%), and no loss was observed in 11 effusion samples (52%); 11 of these cases had a matching surgical specimen and all 11 specimens demonstrated the same MTAP pattern. Partial loss was observed in 3 effusion specimens (80%, 40%, and 40% intact staining, respectively), but in all 3 the surgical specimen demonstrated 100% staining. None of the 15 reactive mesothelial cytology specimens demonstrated MTAP cytoplasmic loss. CDKN2A FISH demonstrated concordance in 5 of 7 cases (71%). MTAP immunohistochemistry had a sensitivity of 33% and a specificity of 100% for this differential diagnosis. Conclusions MTAP staining demonstrated generally good concordance between the cytologic and surgical specimens and appears to be useful in the diagnosis of mesothelioma on effusion specimens. Complete loss of MTAP is a reliable marker of malignancy, but the significance of partial loss of MTAP staining is unclear.
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- 2019
39. The 2021 WHO Classification of Tumors of the Pleura: Advances Since the 2015 Classification
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Jennifer L. Sauter, Sanja Dacic, Francoise Galateau-Salle, Richard L. Attanoos, Kelly J. Butnor, Andrew Churg, Aliya N. Husain, Kyuichi Kadota, Andras Khoor, Andrew G. Nicholson, Victor Roggli, Fernando Schmitt, Ming-Sound Tsao, and William D. Travis
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Pulmonary and Respiratory Medicine ,Mesothelioma ,Lung Neoplasms ,Pleural Neoplasms ,Tumor Suppressor Proteins ,Homozygote ,Mesothelioma, Malignant ,World Health Organization ,Oncology ,Biomarkers, Tumor ,Humans ,Pleura ,Ubiquitin Thiolesterase ,In Situ Hybridization, Fluorescence ,Sequence Deletion - Abstract
Substantial changes in the 2021 WHO Classification of Tumors of the Pleura and Pericardium since the 2015 WHO Classification include the following: (1) pleural and pericardial tumors have been combined in one chapter whereas in the 2015 WHO, pericardial tumors were classified with cardiac tumors; (2) well-differentiated papillary mesothelioma has been renamed well-differentiated papillary mesothelial tumor given growing evidence that these tumors exhibit relatively indolent behavior; (3) localized and diffuse mesothelioma no longer include the term "malignant" as a prefix; (4) mesothelioma in situ has been added to the 2021 classification because these lesions can now be recognized by loss of BAP1 and/or MTAP by immunohistochemistry and/or CDKN2A homozygous deletion by fluorescence in situ hybridization; (5) the three main histologic subtypes (i.e., epithelioid, biphasic, and sarcomatoid) remain the same but architectural patterns and cytologic and stromal features are more formally incorporated into the 2021 classification on the basis of their prognostic significance; (6) nuclear grading for epithelioid diffuse mesothelioma is introduced, and it is recommended to record this and other histologically prognostic features in pathology reports; (7) BAP1, EZH2, and MTAP immunohistochemistry have been found to be useful in separating benign mesothelial proliferations from mesothelioma; (8) biphasic mesothelioma can be diagnosed in small biopsies having both epithelioid and sarcomatoid components even if the amount of one component is less than 10%; and (9) the most frequently altered genes in diffuse pleural mesothelioma include BAP1, CDKN2A, NF2, TP53, SETD2, and SETDB1.
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- 2021
40. Challenges in lung and thoracic pathology
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Philipp Ströbel and Sanja Dacic
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Pathology ,medicine.medical_specialty ,2019-20 coronavirus outbreak ,Lung Neoplasms ,Lung ,Coronavirus disease 2019 (COVID-19) ,Pathology, Surgical ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,MEDLINE ,COVID-19 ,Cell Biology ,General Medicine ,Thoracic Neoplasms ,Pathology and Forensic Medicine ,Genetic Heterogeneity ,Editorial ,Phenotype ,medicine.anatomical_structure ,Humans ,Medicine ,Genetic Predisposition to Disease ,business ,Molecular Biology - Published
- 2021
41. Characterization of MET Exon 14 Skipping Alterations (in NSCLC) and Identification of Potential Therapeutic Targets Using Whole Transcriptome Sequencing
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So Yeon Kim, Jun Yin, Stephen Bohlman, Phillip Walker, Sanja Dacic, Chul Kim, Hina Khan, Stephen V. Liu, Patrick C. Ma, Misako Nagasaka, Karen L. Reckamp, Jim Abraham, Dipesh Uprety, Feng Wang, Joanne Xiu, Jian Zhang, Haiying Cheng, and Balazs Halmos
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Pulmonary and Respiratory Medicine ,Oncology - Published
- 2022
42. Molecular characterization of pleomorphic mesothelioma: a multi-institutional study
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Maureen A. Lyons, Somak Roy, Nolwenn Le Stang, Andrew Churg, Richard Attanoos, Sanja Dacic, and Francoise Galateau-Sallé
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Male ,Mesothelioma ,Pathology ,medicine.medical_specialty ,Biology ,Protein Serine-Threonine Kinases ,Pathology and Forensic Medicine ,PBRM1 ,Transcriptome ,Cohort Studies ,Exome Sequencing ,medicine ,Humans ,neoplasms ,Gene ,Cyclin-Dependent Kinase Inhibitor p16 ,In Situ Hybridization, Fluorescence ,Aged ,Aged, 80 and over ,BAP1 ,Tumor Suppressor Proteins ,Chromosome ,Computational Biology ,DNA, Neoplasm ,Middle Aged ,medicine.disease ,Immunohistochemistry ,respiratory tract diseases ,Chromosome 4 ,Mutation ,Molecular Profile ,Female ,Tumor Suppressor Protein p53 ,Ubiquitin Thiolesterase - Abstract
The molecular alterations of pleomorphic mesotheliomas are largely unknown. In the present study, we performed whole-exome sequencing (WES) on 24 pleomorphic mesotheliomas in order to better characterize the molecular profile of this rare histologic variant. BAP1 protein expression and CDKN2A deletion by FISH were also evaluated. Significantly mutated genes included BAP1 (35%), NF2 (13%), LATS2 (8%), TP53 (5%), and LATS1 (3%). BAP1 alterations most frequently co-occurred with deletions of chromosomes 4, 9, and 13. Other important genetic alterations in pleomorphic mesotheliomas included truncating mutations in NF2 (3 of 24; 12.5%), LATS2 (2 of 24; 8%), TP53 (1 of 24; 4%), and PBRM1 (1 of 24; 4%). Focal losses of chromosome 9p21 were most common copy number alterations (11 of 24 cases; 46%), and were assessed by WES and targeted FISH. The second most common were deletions of chromosome 4 (8 of 24; 33% pleomorphic mesotheliomas). Three cases of pleomorphic mesothelioma did not show any mutations, copy number alterations, or LOH. This first WES analysis of pleomorphic mesotheliomas did not identify novel or unique mutations. In contrast to transitional mesothelioma that was reclassified as sarcomatoid variant based on transcriptome data, pleomorphic mesotheliomas are molecularly heterogeneous and therefore their reclassification into single subtype is more difficult.
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- 2021
43. Solid papillary mesothelial tumor
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Andrew, Churg, Nolwenn, Le Stang, Sanja, Dacic, Daniel, Pissaloux, Hugues, Begueret, Peggy, Dartigues, Sophie, Giusiano-Courcambeck, Ruth, Sequeiros, Jean-Claude, Pairon, Franck, Tirode, and Francoise, Galateau-Sallé
- Subjects
Adult ,Incidental Findings ,Chi-Square Distribution ,Time Factors ,Sequence Analysis, RNA ,Neoplasms, Mesothelial ,Middle Aged ,Prognosis ,Carcinoma, Papillary ,Translocation, Genetic ,Cohort Studies ,Gene Expression Regulation, Neoplastic ,Mutation ,Cluster Analysis ,Humans ,Female ,In Situ Hybridization, Fluorescence ,Peritoneal Neoplasms ,Aged ,Follow-Up Studies ,Signal Transduction - Abstract
We report nine examples of a previously undescribed type of peritoneal circumscribed nodular mesothelial tumor characterized by nests or sheets of mesothelial cells with sharp cell borders and extremely bland, sometimes grooved, nuclei. In some cases, nests were separated by fibrous bands. All patients were women, age range 30-72 years (median 52 years). All tumors were incidental findings during surgery and grossly were either solitary nodules or a few small nodules on the peritoneal surface. Referring pathologic diagnoses included diffuse malignant mesothelioma, localized malignant mesothelioma, well-differentiated papillary mesothelioma, and adenomatoid tumor. No tumor showed BAP1 loss by immunohistochemistry nor deletion of CDKN2A by FISH. RNA-seq revealed that these tumors clustered together and were distinct from peritoneal diffuse malignant mesotheliomas. Very few mutations or translocations were found, none of them recurrent from tumor to tumor, and no tumor showed an abnormality in any of the genes typically mutated/deleted in diffuse malignant mesothelioma. Array CGH on three cases revealed two with a completely flat profile and one with a small deletion at 3q26-3q28. On follow-up (range 5-60, median 34 months), there were no deaths, no recurrences, and no evidence of metastatic disease nor local spread; one case that initially had scattered nodules on the pelvic peritoneum had the same pattern of nodules at a second look operation 2 years later. We propose the name solid papillary mesothelial tumor for these lesions. These appear to be either benign or very low-grade tumors that need to be separated from malignant mesotheliomas.
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- 2021
44. Comparison of Nuclear Grade, Necrosis, and Histologic Subtype Between Biopsy and Resection in Pleural Malignant Mesothelioma: An International Multi-Institutional Analysis
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Marc de Perrot, Prodipto Pal, Luka Brcic, Yu Zhi Zhang, Nina Chang, Yoshiaki Zaizen, Aliya N. Husain, Alberto M. Marchevsky, Andrew G. Nicholson, Anja C. Roden, Jefree J. Schulte, Richard Attanoos, David B. Chapel, Eric Santoni-Rugiu, Henry D. Tazelaar, Thomas Krausz, Heather Chen, Sara Bird Rørvig, Sonja Klebe, Kenzo Hiroshima, Leslie A. Litzky, Sanja Dacic, Birgit Weynand, Ming-Sound Tsao, Junya Fukuoka, Ann E. Walts, Kazuki Nabeshima, Juliet Burn, Jeffrey Mueller, Françoise Galateau-Sallé, Kelly J. Butnor, and Theresa Maria Godschachner
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0301 basic medicine ,Pathology ,medicine.medical_specialty ,Necrosis ,medicine.medical_treatment ,Biopsy ,Pleural Neoplasms ,Resection ,PLEURAL MALIGNANT MESOTHELIOMA ,03 medical and health sciences ,0302 clinical medicine ,Medicine ,Humans ,Mesothelioma ,Nuclear grade ,Neoadjuvant therapy ,medicine.diagnostic_test ,business.industry ,Mesothelioma, Malignant ,Histology ,General Medicine ,medicine.disease ,Prognosis ,030104 developmental biology ,030220 oncology & carcinogenesis ,medicine.symptom ,business - Abstract
Objectives Numerous studies on malignant mesothelioma (MM) highlight the prognostic importance of histologic subtype, nuclear grade, and necrosis. This study compares these parameters in paired biopsy and resection specimens of pleural MM. Methods Histologic subtype, percentage of epithelioid morphology, nuclear grade, and the presence or absence of necrosis were compared in 429 paired biopsies and resection specimens of pleural MM from 19 institutions. Results Histologic subtype was concordant in 81% of cases (κ = 0.58). When compared with resection specimens, epithelioid morphology at biopsy had a positive predictive value (PPV) of 78.9% and a negative predictive value (NPV) of 93.5%; sarcomatoid morphology showed high PPV (92.9%) and NPV (99.3%), and biphasic morphology PPV was 89.7% and NPV was 79.7%. Agreement of the percentage of epithelioid morphology was fair (κ = 0.27). Nuclear grade and necrosis were concordant in 75% (κ = 0.59) and 81% (κ = 0.53) of cases, respectively. Nuclear grade showed moderate (κ = 0.53) and substantial (κ = 0.67) agreement from patients with and without neoadjuvant therapy, respectively, and necrosis showed moderate (κ = 0.47 and κ = 0.60) agreement, respectively, in the same subsets of paired specimens. Conclusions Paired biopsy-resection specimens from pleural MM show overall moderate agreement in pathologic parameters. These findings may help guide postbiopsy management and triage of patients with MM.
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- 2021
45. Abstract CT112: AI-powered and manual assessment of PD-L1 are comparable in predicting response to neoadjuvant atezolizumab in patients (pts) with resectable non-squamous, non-small cell lung cancer (NSCLC)
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John Abel, Christopher Rivard, Filip Kos, Guillaume Chhor, Yi Liu, Jennifer Giltnane, Sara Hoffman, Murray Resnick, Cyrus Hedvat, Amaro Taylor-Weiner, Farah Khalil, Alan Nicholas, Gregory A. Fishbein, Lynette M. Sholl, Natasha Rekhtman, Stephanie Hennek, Ilan Wapinski, Ann Johnson, Michael Montalto, Katja Schulze, Bruce E. Johnson, David P. Carbone, Konstantin Shilo, Andrew H. Beck, Sanja Dacic, William D. Travis, and Ignacio Wistuba
- Subjects
Cancer Research ,Oncology - Abstract
Background: PD-L1 expression evaluated by immunohistochemistry (IHC) is a well-established predictor of anti-PD-L1/PD-1 cancer immunotherapy (CIT). The Phase II LCMC3 (NCT02927301) study evaluated pre-operative treatment (tx) with atezolizumab (anti-PD-L1) in pts with untreated early stage resectable NSCLC, achieving a 20% major pathologic response (MPR) rate (primary efficacy pts, n=143). A digital PD-L1 scoring method was developed to assess PD-L1 expression as a potential predictive marker for MPR in squamous and non-squamous tumor samples from LCMC3. Methods: Manual scoring was used to determine PD-L1 status on pre-tx biopsy samples using the tumor proportion score (TPS) with a positive threshold of TPS≥50 (22C3). Binary results were correlated with MPR and stratified by squamous/non-squamous histology. A digital pathology workflow for automated PD-L1 scoring was developed to yield a precise continuous PD-L1 TPS. Deep convolutional neural networks trained using pathologist annotations were used to detect individual cells within the tumor and tumor microenvironment and quantify their PD-L1 expression. These cell type predictions were used to compute a digital PD-L1 TPS. LCMC3 pts with available digital and manual PD-L1 scores were then used to assess the role of PD-L1 expression in predicting MPR. Results: PD-L1 scores were available for pre-tx biopsies from 108 pts. No significant difference in scores was seen between histological subtypes. At cutoff (Oct 15, 2021), TPS≥50 was seen in 41 (non-squamous, n=26 [39%]; squamous, n=15 [36%]) of 108 pts and was associated with MPR in non-squamous (odds ratio [OR], 28.6; P Conclusions: These findings support using digitally assessed PD-L1 IHC as a centralized and standardized scoring system and suggest that tumor histological subtype could be an important factor in the utility of PD-L1 as a predictive biomarker for neoadjuvant CIT in early stage NSCLC. Citation Format: John Abel, Christopher Rivard, Filip Kos, Guillaume Chhor, Yi Liu, Jennifer Giltnane, Sara Hoffman, Murray Resnick, Cyrus Hedvat, Amaro Taylor-Weiner, Farah Khalil, Alan Nicholas, Gregory A. Fishbein, Lynette M. Sholl, Natasha Rekhtman, Stephanie Hennek, Ilan Wapinski, Ann Johnson, Michael Montalto, Katja Schulze, Bruce E. Johnson, David P. Carbone, Konstantin Shilo, Andrew H. Beck, Sanja Dacic, William D. Travis, Ignacio Wistuba. AI-powered and manual assessment of PD-L1 are comparable in predicting response to neoadjuvant atezolizumab in patients (pts) with resectable non-squamous, non-small cell lung cancer (NSCLC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr CT112.
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- 2022
46. LIBRETTO-001 cohort 7: A single-arm, phase 2 study of neoadjuvant selpercatinib in patients with resectable stage IB-IIIA RET fusion-positive NSCLC
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Ravi Rajaram, Lynette M. Sholl, Sanja Dacic, Jonathan W. Goldman, Daniel Shao-Weng Tan, Oliver Gautschi, Herbert H. F. Loong, Filippo G. De Braud, Erminia Massarelli, Benjamin Philip Levy, Grace K. Dy, Suhyun Kang, Sylwia Szymczak, Bo H. Chao, and Alexander E. Drilon
- Subjects
Cancer Research ,Oncology - Abstract
TPS8594 Background: Despite definitive surgery and perioperative chemotherapy, many patients with locoregional non-small cell lung cancer (NSCLC) continue to experience recurrent disease and limited survival. Although targeted therapies are standard treatment for metastatic NSCLC with genomic alterations, their use in the early-stage setting is still being characterized. Initial studies examining targeted therapy in neoadjuvant setting for early-stage epidermal growth factor receptor positive NSCLC has shown promise. Selpercatinib is a highly selective, potent, and central nervous system active rearranged during transfection (RET) inhibitor with demonstrated robust and sustained antitumor activity and manageable toxicity in patients with RET fusion-positive advanced NSCLC. Cohort 7 of the Phase 2, open-label, single arm LIBRETTO-001 study evaluates efficacy and safety of neoadjuvant selpercatinib in patients with resectable stage IB-IIIA RET fusion-positive NSCLC (NCT03157128). Methods: Key eligibility criteria include age ≥18 years; histologically confirmed stage IB–IIIA NSCLC (AJCC, version 8); presence of RET fusion in tumor (by PCR or NGS) or blood (by NGS) (pre-treatment biopsy confirmed); resectable and operable tumor; measurable disease (RECIST 1.1); and ECOG performance status 0-1. Key exclusion criteria include presence of other known oncogenic drivers; and concurrent investigational anticancer therapy. Eligible patients will undergo full staging including radiographic tumor measurements using CT, PET, and brain MRI at baseline and after two 28-day cycles of neoadjuvant selpercatinib, followed by surgery. Dosing regimen is 160 mg twice daily. Resected tumor specimens will be sent to an Independent Pathology Review Committee (IPRC) for evaluation. Patients may then be treated with stage-appropriate adjuvant therapy/surveillance, based on the treating physician’s decision, followed by selpercatinib until disease recurrence, unacceptable toxicity, withdrawal, or death, for a maximum treatment duration of 3 years. The primary endpoint is to determine the rate of major pathologic response (MPR) by IPRC, defined as ≤ 10% residual viable tumor cells in the surgically resected specimen. Efficacy based on the MPR will be assessed using the Simon's 2-stage design. In Stage I, 9 patients will be enrolled; if ≤1 patient achieves an MPR, the study will be stopped. Otherwise, at least 10 additional patients will be enrolled, with a total of 19 patients undergoing surgery. The rate of pathologic complete response (pCR) by IPRC, disease-free survival, and overall survival will be assessed as secondary endpoints. pCR rate will be determined at the time of surgery, indicating no remaining viable tumor cells. Safety of peri-operative treatment will be assessed, including 30- and 90-day post-operative readmission and mortality rates. Clinical trial information: NCT03157128.
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- 2022
47. Pan-cancer analysis of YAP1 expression as a predictive biomarker for cancer immunotherapy
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Taofeek K. Owonikoko, Andrew Elliott, Andrey Ivanov, Bhakti Dwivedi, Phillip Walker, Ari M. Vanderwalde, Sonam Puri, Sanja Dacic, Daniel Morgensztern, Stephen V Liu, Hossein Borghaei, and Gabriel Sica
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Cancer Research ,Oncology - Abstract
2629 Background: High YAP1 expression correlates with the ‘T-cell inflamed’ expression phenotype in small cell lung cancer (SCLC), but its association with other biomarkers of immune checkpoint vulnerability and in tumor types beyond SCLC is not known. We examined whether YAP1 expression correlates with other established markers of immune checkpoint blockade (ICB) efficacy (PDL1 expression and TMB) in a tumor agnostic manner to determine clinical relevance. Methods: Next-generation sequencing of DNA (592 gene panel or whole exome) and RNA (whole transcriptome) was performed for patient samples (n = 57,134), representing 13 cancer types, submitted to a CLIA-certified laboratory (Caris Life Sciences, Phoenix, AZ). The ‘T-cell inflamed’ signature (TIS) score was calculated as an 18-gene weighted coefficient composite value (Cristescu, 2018). PDL1 expression was assessed by immunohistochemistry (IHC) with cancer type-specific antibodies and thresholds, and high tumor mutational burden was defined as ≥10 mut/Mb. Patients were stratified into subgroups based on median YAP1 expression (YAP1-High/YAP-Low) within each cancer type. Significance was tested by Chi-square, Fisher’s exact test, or Mann-Whitney U test. Results: YAP1-High tumors were associated with significantly increased TIS scores compared to YAP1-Low across all 13 cancer types examined, with the largest fold increase observed in SCLC (1.33-fold, p < 0.0001), followed by pancreatic cancer (1.28-fold, p < 0.0001), while the smallest occurred in melanoma (1.13-fold, p < 0.0001). Spearman correlation strength (range 0.23-0.57) between YAP expression and TIS scores was consistent with increased TIS scores in YAP1-High samples. TMB-High rates were similar in YAP-High and YAP1-Low subgroups for most cancer types, with slightly lower rates in YAP1-High tumors observed for endometrial (23.0 vs 26.6%, p < 0.001) and esophageal (7.0 vs 9.5%, p < 0.05) cancers. YAP1 expression was not significantly increased in PDL1+ (IHC) tumors for most cancer types. However, significantly decreased YAP1 expression was associated with PDL1+ samples in RCC (Renal Cell Carcinoma) (0.91-fold change, P < 0.05), MM (0.90-fold change, P < 0.001), and ENCA (0.80-fold change, P < 0.0001) Conclusions: Our analyses provide confirmation that YAP1 expression positively correlates with the ‘T-cell inflamed’ phenotype across many cancer types, including those with approvals for (ICB) therapy. YAP1 expression was independent of established markers of ICB response, including TMB and PDL1. Further analysis of YAP1 expression as an additional tumor agnostic predictive biomarker is warranted.
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- 2022
48. Characterization of MET exon 14 skipping alterations (METex14) in non–small cell lung cancer (NSCLC) using whole transcriptome sequencing (WTS)
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So Yeon Kim, Stephen Bohlman, Jun Yin, Haiying Cheng, Phillip Walker, Sanja Dacic, Chul Kim, Hina Khan, Stephen V. Liu, Patrick C. Ma, Misako Nagasaka, Karen L. Reckamp, Jim Abraham, Dipesh Uprety, and Balazs Halmos
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Cancer Research ,Oncology - Abstract
9122 Background: Multiple DNA alterations in exon 14 splice sites have been identified in NSCLC and result in skipping of the juxtamembrane domain Cbl-E3 ubiquitin ligase binding region, leading to increased MET stability and oncogenesis. The effects of these alterations on transcriptome-level have not been fully characterized. We present the largest cohort study of METex14 using WTS and identify key cellular pathways associated with invasion and metastases in METex14. Methods: 17,666 NSCLC tumor samples underwent genomic profiling at Caris Life Sciences. Analyses included next generation sequencing of DNA (592 Gene Panel, NextSeq, whole exome sequencing, NovaSeq) and RNA (NovaSeq, WTS). METex14 was captured via WTS. ssGSEA analysis was used to evaluate pathway enrichment. Wilcoxon, Fisher’s exact were used for statistical significance (p without and q values with multiple comparison correction). Results: 440 patients (2.5%) with METex14 were identified. METex14 patients were of older age, female gender, and enriched in sarcomatoid histology (Table 1). The most common alterations were point mutations (51.5%) and deletions (17.3%) at donor splice sites. Splice site alterations except point mutations at splice acceptor site translated to increased mRNA expression compared to wild-type MET (WT). MET amplification translated to higher mRNA expression compared to METex14 and WT with synergistic expression when co-altered with METex14 (q 50% (53% vs. 27.6% WT, q
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- 2022
49. Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations
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Julia R, Naso, Adrian B, Levine, Hossein, Farahani, Lucian R, Chirieac, Sanja, Dacic, Joanne L, Wright, Chi, Lai, Hui-Min, Yang, Steven J M, Jones, Ali, Bashashati, Stephen, Yip, and Andrew, Churg
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Diagnosis, Differential ,Mesothelioma ,Deep Learning ,ROC Curve ,Area Under Curve ,Pleural Neoplasms ,Mesothelioma, Malignant ,Image Processing, Computer-Assisted ,Humans ,Neural Networks, Computer ,Prognosis ,Sensitivity and Specificity ,Cell Proliferation - Abstract
Sarcomatoid mesothelioma is an aggressive malignancy that can be challenging to distinguish from benign spindle cell mesothelial proliferations based on biopsy, and this distinction is crucial to patient treatment and prognosis. A novel deep learning based classifier may be able to aid pathologists in making this critical diagnostic distinction. SpindleMesoNET was trained on cases of malignant sarcomatoid mesothelioma and benign spindle cell mesothelial proliferations. Performance was assessed through cross-validation on the training set, on an independent set of challenging cases referred for expert opinion ('referral' test set), and on an externally stained set from outside institutions ('externally stained' test set). SpindleMesoNET predicted the benign or malignant status of cases with AUC's of 0.932, 0.925, and 0.989 on the cross-validation, referral and external test sets, respectively. The accuracy of SpindleMesoNET on the referral set cases (92.5%) was comparable to the average accuracy of 3 experienced pathologists on the same slide set (91.7%). We conclude that SpindleMesoNET can accurately distinguish sarcomatoid mesothelioma from benign spindle cell mesothelial proliferations. A deep learning system of this type holds potential for future use as an ancillary test in diagnostic pathology.
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- 2021
50. Syngeneic tobacco carcinogen–induced mouse lung adenocarcinoma model exhibits PD-L1 expression and high tumor mutational burden
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Princey Devadassan, Laura P. Stabile, Timothy F. Burns, Sanja Dacic, Riyue Bao, Christopher J. Bakkenist, Eric H.-B. Huang, Richard A. Steinman, Vinod Kumar, Frank P. Vendetti, and Autumn Gaither-Davis
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Male ,0301 basic medicine ,Lung Neoplasms ,Nitrosamines ,Adenocarcinoma of Lung ,Spleen ,Biology ,Mouse models ,medicine.disease_cause ,B7-H1 Antigen ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,Cell Line, Tumor ,Smoke ,Tobacco ,Tumor Microenvironment ,medicine ,Animals ,Humans ,Luciferase ,Lung cancer ,Mutation ,Neoplasms, Experimental ,General Medicine ,medicine.disease ,030104 developmental biology ,medicine.anatomical_structure ,Technical Advance ,Oncology ,Cell culture ,030220 oncology & carcinogenesis ,Carcinogens ,Cancer research ,Medicine ,Adenocarcinoma ,Female ,CD8 - Abstract
Human lung adenocarcinoma (LUAD) in current or former smokers exhibits a high tumor mutational burden (TMB) and distinct mutational signatures. Syngeneic mouse models of clinically relevant smoking-related LUAD are lacking. We established and characterized a tobacco-associated, transplantable murine LUAD cell line, designated FVBW-17, from a LUAD induced by the tobacco carcinogen 4-(methylnitrosoamino)-1-(3-pyridyl)-1-butanone in the FVB/N mouse strain. Whole-exome sequencing of FVBW-17 cells identified tobacco-associated KrasG12D and Trp53 mutations and a similar mutation profile to that of classic alkylating agents with a TMB greater than 500. FVBW-17 cells transplanted subcutaneously, via tail vein, and orthotopically generated tumors that were histologically similar to human LUAD in FVB/N mice. FVBW-17 tumors expressed programmed death ligand 1 (PD-L1), were infiltrated with CD8+ T cells, and were responsive to anti–PD-L1 therapy. FVBW-17 cells were also engineered to express green fluorescent protein and luciferase to facilitate detection and quantification of tumor growth. Distant metastases to lung, spleen, liver, and kidney were observed from subcutaneously transplanted tumors. This potentially novel cell line is a robust representation of human smoking-related LUAD biology and provides a much needed preclinical model in which to test promising new agents and combinations, including immune-based therapies., We established and characterized a clinically relevant tobacco carcinogen-induced lung adeno-carcinoma syngeneic cell line that will be useful for preclinical evaluation of immune-oncology agents.
- Published
- 2021
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