1
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Hayes TK, Aquilanti E, Persky NS, Yang X, Kim EE, Brenan L, Goodale AB, Alan D, Sharpe T, Shue RE, Westlake L, Golomb L, Silverman BR, Morris MD, Fisher TR, Beyene E, Li YY, Cherniack AD, Piccioni F, Hicks JK, Chi AS, Cahill DP, Dietrich J, Batchelor TT, Root DE, Johannessen CM, Meyerson M. Author Correction: Comprehensive mutational scanning of EGFR reveals TKI sensitivities of extracellular domain mutants. Nat Commun 2024; 15:3273. [PMID: 38627431 PMCID: PMC11021560 DOI: 10.1038/s41467-024-47675-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2024] Open
Affiliation(s)
- Tikvah K Hayes
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, USA
| | - Elisa Aquilanti
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Nicole S Persky
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Aera Therapeutics, Cambridge, MA, USA
| | - Xiaoping Yang
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Erica E Kim
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
| | - Lisa Brenan
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Amy B Goodale
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Douglas Alan
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Ted Sharpe
- Data Science Platform, The Broad Institute of M.I.T. and Harvard Cambridge, Cambridge, MA, USA
| | - Robert E Shue
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Lindsay Westlake
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Lior Golomb
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Brianna R Silverman
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
| | - Myshal D Morris
- Summer Honors Undergraduate Research Program, Harvard Medical School, Boston, MA, USA
| | - Ty Running Fisher
- Summer Honors Undergraduate Research Program, Harvard Medical School, Boston, MA, USA
| | - Eden Beyene
- Summer Honors Undergraduate Research Program, Harvard Medical School, Boston, MA, USA
| | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Federica Piccioni
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Merck Research Laboratories, Cambridge, MA, USA
| | - J Kevin Hicks
- Department of Pathology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Andrew S Chi
- Center for Neuro-Oncology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel P Cahill
- Center for Neuro-Oncology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Jorg Dietrich
- Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Tracy T Batchelor
- Department of Neurology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA
| | - David E Root
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Cory M Johannessen
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Department of Oncology, Novartis Institutes for Biomedical Research, Cambridge, MA, USA
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA.
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA.
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2
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Singh H, Sahgal P, Kapner K, Corsello SM, Gupta H, Gujrathi R, Li YY, Cherniack AD, El Alam R, Kerfoot J, Andrews E, Lee A, Nambiar C, Hannigan AM, Remland J, Brais L, Leahy ME, Rubinson DA, Schlechter BL, Meyerson M, Kuang Y, Paweletz CP, Lee JK, Quintanilha JC, Aguirre AJ, Perez KJ, Huffman BM, Rossi H, Abrams TA, Kabraji S, Trusolino L, Bertotti A, Sicinska ET, Parikh AR, Wolpin BM, Schrock AB, Giannakis M, Ng K, Meyerhardt JA, Hornick JL, Sethi NS, Cleary JM. RAS/RAF Comutation and ERBB2 Copy Number Modulates HER2 Heterogeneity and Responsiveness to HER2-directed Therapy in Colorectal Cancer. Clin Cancer Res 2024; 30:1669-1684. [PMID: 38345769 PMCID: PMC11018475 DOI: 10.1158/1078-0432.ccr-23-2581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 11/17/2023] [Accepted: 02/06/2024] [Indexed: 04/16/2024]
Abstract
PURPOSE ERBB2-amplified colorectal cancer is a distinct molecular subtype with expanding treatments. Implications of concurrent oncogenic RAS/RAF alterations are not known. EXPERIMENTAL DESIGN Dana-Farber and Foundation Medicine Inc. Colorectal cancer cohorts with genomic profiling were used to identify ERBB2-amplified cases [Dana-Farber, n = 47/2,729 (1.7%); FMI, n = 1857/49,839 (3.7%)]. Outcomes of patients receiving HER2-directed therapies are reported (Dana-Farber, n = 9; Flatiron Health-Foundation Medicine clinicogenomic database, FH-FMI CGDB, n = 38). Multisite HER2 IHC and genomic profiling were performed to understand HER2 intratumoral and interlesional heterogeneity. The impact of concurrent RAS comutations on the effectiveness of HER2-directed therapies were studied in isogenic colorectal cancer cell lines and xenografts. RESULTS ERBB2 amplifications are enriched in left-sided colorectal cancer. Twenty percent of ERBB2-amplified colorectal cancers have co-occurring oncogenic RAS/RAF alterations. While RAS/RAF WT colorectal cancers typically have clonal ERBB2 amplification, colorectal cancers with co-occurring RAS/RAF alterations have lower level ERRB2 amplification, higher intratumoral heterogeneity, and interlesional ERBB2 discordance. These distinct genomic patterns lead to differential responsiveness and patterns of resistance to HER2-directed therapy. ERBB2-amplified colorectal cancer with RAS/RAF alterations are resistant to trastuzumab-based combinations, such as trastuzumab/tucatinib, but retain sensitivity to trastuzumab deruxtecan in in vitro and murine models. Trastuzumab deruxtecan shows clinical efficacy in cases with high-level ERBB2-amplified RAS/RAF coaltered colorectal cancer. CONCLUSIONS Co-occurring RAS/RAF alterations define a unique subtype of ERBB2-amplified colorectal cancer that has increased intratumoral heterogeneity, interlesional discordance, and resistance to trastuzumab-based combinations. Further examination of trastuzumab deruxtecan in this previously understudied cohort of ERBB2-amplified colorectal cancer is warranted.
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Affiliation(s)
- Harshabad Singh
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Pranshu Sahgal
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
- Broad Institute of Harvard and MIT, Cambridge MA, USA
| | - Kevin Kapner
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | | | - Hersh Gupta
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
- Broad Institute of Harvard and MIT, Cambridge MA, USA
| | - Rahul Gujrathi
- Department of Radiology, Boston Medical Center and Boston University, Boston, MA USA
| | - Yvonne Y. Li
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
- Broad Institute of Harvard and MIT, Cambridge MA, USA
| | - Andrew D. Cherniack
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
- Broad Institute of Harvard and MIT, Cambridge MA, USA
| | - Raquelle El Alam
- Department of Radiology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Joseph Kerfoot
- Department of Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Elizabeth Andrews
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Annette Lee
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Chetan Nambiar
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Alison M. Hannigan
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Joshua Remland
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Lauren Brais
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Meghan E. Leahy
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Douglas A. Rubinson
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Benjamin L. Schlechter
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Matthew Meyerson
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
- Broad Institute of Harvard and MIT, Cambridge MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA USA
| | - Yanan Kuang
- Belfer Center for Applied Cancer Science, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA USA
| | - Cloud P. Paweletz
- Belfer Center for Applied Cancer Science, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA USA
| | | | | | - Andrew J. Aguirre
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
- Broad Institute of Harvard and MIT, Cambridge MA, USA
| | - Kimberly J. Perez
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Brandon M. Huffman
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Humberto Rossi
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Thomas A. Abrams
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Sheheryar Kabraji
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Livio Trusolino
- Candiolo Cancer Institute FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Andrea Bertotti
- Candiolo Cancer Institute FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Ewa T. Sicinska
- Department of Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Aparna R. Parikh
- Massachusetts General Hospital Cancer Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
| | - Brian M. Wolpin
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | | | - Marios Giannakis
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Kimmie Ng
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Jeffrey A. Meyerhardt
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - Jason L. Hornick
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Nilay S. Sethi
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
| | - James M. Cleary
- Dana-Farber Brigham and Women’s Cancer Center, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA
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3
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Ricciuti B, Lamberti G, Puchala SR, Mahadevan NR, Lin JR, Alessi JV, Chowdhury A, Li YY, Wang X, Spurr L, Pecci F, Di Federico A, Venkatraman D, Barrichello AP, Gandhi M, Vaz VR, Pangilinan AJ, Haradon D, Lee E, Gupta H, Pfaff KL, Welsh EL, Nishino M, Cherniack AD, Johnson BE, Weirather JL, Dryg ID, Rodig SJ, Sholl LM, Sorger P, Santagata S, Umeton R, Awad MM. Genomic and Immunophenotypic Landscape of Acquired Resistance to PD-(L)1 Blockade in Non-Small-Cell Lung Cancer. J Clin Oncol 2024; 42:1311-1321. [PMID: 38207230 DOI: 10.1200/jco.23.00580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 08/27/2023] [Accepted: 10/24/2023] [Indexed: 01/13/2024] Open
Abstract
PURPOSE Although immune checkpoint inhibitors (ICI) have extended survival in patients with non-small-cell lung cancer (NSCLC), acquired resistance (AR) to ICI frequently develops after an initial benefit. However, the mechanisms of AR to ICI in NSCLC are largely unknown. METHODS Comprehensive tumor genomic profiling, machine learning-based assessment of tumor-infiltrating lymphocytes, multiplexed immunofluorescence, and/or HLA-I immunohistochemistry (IHC) were performed on matched pre- and post-ICI tumor biopsies from patients with NSCLC treated with ICI at the Dana-Farber Cancer Institute who developed AR to ICI. Two additional cohorts of patients with intervening chemotherapy or targeted therapies between biopsies were included as controls. RESULTS We performed comprehensive genomic profiling and immunophenotypic characterization on samples from 82 patients with NSCLC and matched pre- and post-ICI biopsies and compared findings with a control cohort of patients with non-ICI intervening therapies between biopsies (chemotherapy, N = 32; targeted therapies, N = 89; both, N = 17). Putative resistance mutations were identified in 27.8% of immunotherapy-treated cases and included acquired loss-of-function mutations in STK11, B2M, APC, MTOR, KEAP1, and JAK1/2; these acquired alterations were not observed in the control groups. Immunophenotyping of matched pre- and post-ICI samples demonstrated significant decreases in intratumoral lymphocytes, CD3e+ and CD8a+ T cells, and PD-L1-PD1 engagement, as well as increased distance between tumor cells and CD8+PD-1+ T cells. There was a significant decrease in HLA class I expression in the immunotherapy cohort at the time of AR compared with the chemotherapy (P = .005) and the targeted therapy (P = .01) cohorts. CONCLUSION These findings highlight the genomic and immunophenotypic heterogeneity of ICI resistance in NSCLC, which will need to be considered when developing novel therapeutic strategies aimed at overcoming resistance.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Sreekar R Puchala
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | | | - Jia-Ren Lin
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA
| | - Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Alexander Chowdhury
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Yvonne Y Li
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Xinan Wang
- Harvard School of Public Health, Boston, MA
| | - Liam Spurr
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Deepti Venkatraman
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Malini Gandhi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Victor R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Andy J Pangilinan
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Danielle Haradon
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Elinton Lee
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Hersh Gupta
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Kathleen L Pfaff
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Emma L Welsh
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Andrew D Cherniack
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA
| | - Bruce E Johnson
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Jason L Weirather
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Ian D Dryg
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Scott J Rodig
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Peter Sorger
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA
| | - Sandro Santagata
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA
| | - Renato Umeton
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
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4
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Hayes TK, Aquilanti E, Persky NS, Yang X, Kim EE, Brenan L, Goodale AB, Alan D, Sharpe T, Shue RE, Westlake L, Golomb L, Silverman BR, Morris MD, Fisher TR, Beyene E, Li YY, Cherniack AD, Piccioni F, Hicks JK, Chi AS, Cahill DP, Dietrich J, Batchelor TT, Root DE, Johannessen CM, Meyerson M. Comprehensive mutational scanning of EGFR reveals TKI sensitivities of extracellular domain mutants. Nat Commun 2024; 15:2742. [PMID: 38548752 PMCID: PMC10978866 DOI: 10.1038/s41467-024-45594-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 01/30/2024] [Indexed: 04/01/2024] Open
Abstract
The epidermal growth factor receptor, EGFR, is frequently activated in lung cancer and glioblastoma by genomic alterations including missense mutations. The different mutation spectra in these diseases are reflected in divergent responses to EGFR inhibition: significant patient benefit in lung cancer, but limited in glioblastoma. Here, we report a comprehensive mutational analysis of EGFR function. We perform saturation mutagenesis of EGFR and assess function of ~22,500 variants in a human EGFR-dependent lung cancer cell line. This approach reveals enrichment of erlotinib-insensitive variants of known and unknown significance in the dimerization, transmembrane, and kinase domains. Multiple EGFR extracellular domain variants, not associated with approved targeted therapies, are sensitive to afatinib and dacomitinib in vitro. Two glioblastoma patients with somatic EGFR G598V dimerization domain mutations show responses to dacomitinib treatment followed by within-pathway resistance mutation in one case. In summary, this comprehensive screen expands the landscape of functional EGFR variants and suggests broader clinical investigation of EGFR inhibition for cancers harboring extracellular domain mutations.
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Affiliation(s)
- Tikvah K Hayes
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, USA
| | - Elisa Aquilanti
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Nicole S Persky
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Aera Therapeutics, Cambridge, MA, USA
| | - Xiaoping Yang
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Erica E Kim
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
| | - Lisa Brenan
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Amy B Goodale
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Douglas Alan
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Ted Sharpe
- Data Science Platform, The Broad Institute of M.I.T. and Harvard Cambridge, Cambridge, MA, USA
| | - Robert E Shue
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Lindsay Westlake
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Lior Golomb
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Brianna R Silverman
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
| | - Myshal D Morris
- Summer Honors Undergraduate Research Program, Harvard Medical School, Boston, MA, USA
| | - Ty Running Fisher
- Summer Honors Undergraduate Research Program, Harvard Medical School, Boston, MA, USA
| | - Eden Beyene
- Summer Honors Undergraduate Research Program, Harvard Medical School, Boston, MA, USA
| | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Federica Piccioni
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Merck Research Laboratories, Cambridge, MA, USA
| | - J Kevin Hicks
- Department of Pathology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Andrew S Chi
- Center for Neuro-Oncology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel P Cahill
- Center for Neuro-Oncology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Jorg Dietrich
- Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Tracy T Batchelor
- Department of Neurology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA
| | - David E Root
- Genetic Perturbation Platform, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Cory M Johannessen
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
- Department of Oncology, Novartis Institutes for Biomedical Research, Cambridge, MA, USA
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA, USA.
- Cancer Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA.
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5
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Zou T, Zhou M, Gupta A, Zhuang P, Fishbein AR, Wei HY, Capcha-Rodriguez D, Zhang Z, Cherniack AD, Meyerson M. XRN1 deletion induces PKR-dependent cell lethality in interferon-activated cancer cells. Cell Rep 2024; 43:113600. [PMID: 38261514 PMCID: PMC10989277 DOI: 10.1016/j.celrep.2023.113600] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/12/2023] [Accepted: 12/05/2023] [Indexed: 01/25/2024] Open
Abstract
Emerging data suggest that induction of viral mimicry responses through activation of double-stranded RNA (dsRNA) sensors in cancer cells is a promising therapeutic strategy. One approach to induce viral mimicry is to target molecular regulators of dsRNA sensing pathways. Here, we show that the exoribonuclease XRN1 is a negative regulator of the dsRNA sensor protein kinase R (PKR) in cancer cells with high interferon-stimulated gene expression. XRN1 deletion causes PKR pathway activation and consequent cancer cell lethality. Disruption of interferon signaling with the JAK1/2 inhibitor ruxolitinib can decrease cellular PKR levels and rescue sensitivity to XRN1 deletion. Conversely, interferon-β stimulation can increase PKR levels and induce sensitivity to XRN1 inactivation. Lastly, XRN1 deletion causes accumulation of endogenous complementary sense/anti-sense RNAs, which may represent candidate PKR ligands. Our data demonstrate how XRN1 regulates PKR and how this interaction creates a vulnerability in cancer cells with an activated interferon cell state.
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Affiliation(s)
- Tao Zou
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Meng Zhou
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Akansha Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Patrick Zhuang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Alyssa R Fishbein
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Hope Y Wei
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Diego Capcha-Rodriguez
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Zhouwei Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
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6
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Zou T, Zhou M, Gupta A, Zhuang P, Fishbein AR, Wei HY, Capcha-Rodriguez D, Zhang Z, Cherniack AD, Meyerson M. XRN1 deletion induces PKR-dependent cell lethality in interferon-activated cancer cells. Cell Rep 2024; 43:113783. [PMID: 38306275 PMCID: PMC10993914 DOI: 10.1016/j.celrep.2024.113783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2024] Open
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Tarantino P, Gupta H, Hughes ME, Files J, Strauss S, Kirkner G, Feeney AM, Li Y, Garrido-Castro AC, Barroso-Sousa R, Bychkovsky BL, DiLascio S, Sholl L, MacConaill L, Lindeman N, Johnson BE, Meyerson M, Jeselsohn R, Qiu X, Li R, Long H, Winer EP, Dillon D, Curigliano G, Cherniack AD, Tolaney SM, Lin NU. Author Correction: Comprehensive genomic characterization of HER2-low and HER2-0 breast cancer. Nat Commun 2023; 14:8321. [PMID: 38097580 PMCID: PMC10721787 DOI: 10.1038/s41467-023-44124-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023] Open
Affiliation(s)
- Paolo Tarantino
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Oncology and Hematology-Oncology, University of Milano, Milano, Italy.
| | - Hersh Gupta
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Janet Files
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sarah Strauss
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gregory Kirkner
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Yvonne Li
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ana C Garrido-Castro
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Romualdo Barroso-Sousa
- Dasa Institute for Education and Research (IEPD), Brasilia, Brazil
- Dasa Oncology/Hospital Brasilia, Brasilia, Brazil
| | - Brittany L Bychkovsky
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Simona DiLascio
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Lynette Sholl
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Neal Lindeman
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Pathology, Weill Cornell Medicine, New York, NY, USA
| | - Bruce E Johnson
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew Meyerson
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Rinath Jeselsohn
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Xintao Qiu
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Rong Li
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Henry Long
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Eric P Winer
- Yale Cancer Center, Yale School of Medicine, Smilow Cancer Hospital, New Haven, CT, USA
| | - Deborah Dillon
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Giuseppe Curigliano
- Division of Early Drug Development, European Institute of Oncology IRCCS, Milano, Italy
| | - Andrew D Cherniack
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Sara M Tolaney
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Nancy U Lin
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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8
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Tarantino P, Gupta H, Hughes ME, Files J, Strauss S, Kirkner G, Feeney AM, Li Y, Garrido-Castro AC, Barroso-Sousa R, Bychkovsky BL, DiLascio S, Sholl L, MacConaill L, Lindeman N, Johnson BE, Meyerson M, Jeselsohn R, Qiu X, Li R, Long H, Winer EP, Dillon D, Curigliano G, Cherniack AD, Tolaney SM, Lin NU. Comprehensive genomic characterization of HER2-low and HER2-0 breast cancer. Nat Commun 2023; 14:7496. [PMID: 37980405 PMCID: PMC10657399 DOI: 10.1038/s41467-023-43324-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 11/07/2023] [Indexed: 11/20/2023] Open
Abstract
The molecular underpinnings of HER2-low and HER2-0 (IHC 0) breast tumors remain poorly defined. Using genomic findings from 1039 patients with HER2-negative metastatic breast cancer undergoing next-generation sequencing from 7/2013-12/2020, we compare results between HER2-low (n = 487, 47%) and HER2-0 tumors (n = 552, 53%). A significantly higher number of ERBB2 alleles (median copy count: 2.05) are observed among HER2-low tumors compared to HER2-0 (median copy count: 1.79; P = 2.36e-6), with HER2-0 tumors harboring a higher rate of ERBB2 hemideletions (31.1% vs. 14.5%). No other genomic alteration reaches significance after accounting for multiple hypothesis testing, and no significant differences in tumor mutational burden are observed between HER2-low and HER2-0 tumors (median: 7.26 mutations/megabase vs. 7.60 mutations/megabase, p = 0.24). Here, we show that the genomic landscape of HER2-low and HER2-0 tumors does not differ significantly, apart from a higher ERBB2 copy count among HER2-low tumors, and a higher rate of ERBB2 hemideletions in HER2-0 tumors.
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Affiliation(s)
- Paolo Tarantino
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Oncology and Hematology-Oncology, University of Milano, Milano, Italy.
| | - Hersh Gupta
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Janet Files
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sarah Strauss
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gregory Kirkner
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Yvonne Li
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ana C Garrido-Castro
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Romualdo Barroso-Sousa
- Dasa Institute for Education and Research (IEPD), Brasilia, Brazil
- Dasa Oncology/Hospital Brasilia, Brasilia, Brazil
| | - Brittany L Bychkovsky
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Simona DiLascio
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Lynette Sholl
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Neal Lindeman
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Pathology, Weill Cornell Medicine, New York, NY, USA
| | - Bruce E Johnson
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew Meyerson
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Rinath Jeselsohn
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Xintao Qiu
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Rong Li
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Henry Long
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Eric P Winer
- Yale Cancer Center, Yale School of Medicine, Smilow Cancer Hospital, New Haven, CT, USA
| | - Deborah Dillon
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Giuseppe Curigliano
- Division of Early Drug Development, European Institute of Oncology IRCCS, Milano, Italy
| | - Andrew D Cherniack
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Sara M Tolaney
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Nancy U Lin
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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9
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Singh H, Keller RB, Kapner KS, Dilly J, Raghavan S, Yuan C, Cohen EF, Tolstorukov M, Andrews E, Brais LK, Da Silva A, Perez K, Rubinson DA, Surana R, Giannakis M, Ng K, Clancy TE, Yurgelun MB, Schletchter B, Clark JW, Shapiro GI, Rosenthal MH, Hornick JL, Nardi V, Li YY, Gupta H, Cherniack AD, Meyerson M, Cleary JM, Nowak JA, Wolpin BM, Aguirre AJ. Oncogenic Drivers and Therapeutic Vulnerabilities in KRAS Wild-Type Pancreatic Cancer. Clin Cancer Res 2023; 29:4627-4643. [PMID: 37463056 PMCID: PMC10795103 DOI: 10.1158/1078-0432.ccr-22-3930] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 05/17/2023] [Accepted: 07/14/2023] [Indexed: 07/20/2023]
Abstract
PURPOSE Approximately 8% to 10% of pancreatic ductal adenocarcinomas (PDAC) do not harbor mutations in KRAS. Understanding the unique molecular and clinical features of this subset of pancreatic cancer is important to guide patient stratification for clinical trials of molecularly targeted agents. EXPERIMENTAL DESIGN We analyzed a single-institution cohort of 795 exocrine pancreatic cancer cases (including 785 PDAC cases) with a targeted multigene sequencing panel and identified 73 patients (9.2%) with KRAS wild-type (WT) pancreatic cancer. RESULTS Overall, 43.8% (32/73) of KRAS WT cases had evidence of an alternative driver of the MAPK pathway, including BRAF mutations and in-frame deletions and receptor tyrosine kinase fusions. Conversely, 56.2% of cases did not harbor a clear MAPK driver alteration, but 29.3% of these MAPK-negative KRAS WT cases (12/41) demonstrated activating alterations in other oncogenic drivers, such as GNAS, MYC, PIK3CA, and CTNNB1. We demonstrate potent efficacy of pan-RAF and MEK inhibition in patient-derived organoid models carrying BRAF in-frame deletions. Moreover, we demonstrate durable clinical benefit of targeted therapy in a patient harboring a KRAS WT tumor with a ROS1 fusion. Clinically, patients with KRAS WT tumors were significantly younger in age of onset (median age: 62.6 vs. 65.7 years; P = 0.037). SMAD4 mutations were associated with a particularly poor prognosis in KRAS WT cases. CONCLUSIONS This study defines the genomic underpinnings of KRAS WT pancreatic cancer and highlights potential therapeutic avenues for future investigation in molecularly directed clinical trials. See related commentary by Kato et al., p. 4527.
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Affiliation(s)
- Harshabad Singh
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Rachel B. Keller
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Kevin S. Kapner
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Julien Dilly
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Biological and biomedical sciences program, Harvard Medical School, Boston, MA
- The Broad Institute of Harvard and MIT, Cambridge, MA
| | - Srivatsan Raghavan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- The Broad Institute of Harvard and MIT, Cambridge, MA
| | - Chen Yuan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Elizabeth F. Cohen
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Michael Tolstorukov
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Elizabeth Andrews
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Lauren K. Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Annacarolina Da Silva
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Pathology, Weill Cornell Medical College, New York, NY
| | - Kimberly Perez
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Douglas A. Rubinson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Rishi Surana
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Thomas E. Clancy
- Harvard Medical School, Boston, MA
- Division of Surgical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Surgery, Brigham and Women’s Hospital, Boston, MA
| | - Matthew B. Yurgelun
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Benjamin Schletchter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jeffrey W. Clark
- Harvard Medical School, Boston, MA
- Massachusetts General Hospital Cancer Center, Boston, MA
| | - Geoffrey I. Shapiro
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Michael H. Rosenthal
- Department of Radiology, Dana-Farber Cancer Institute, Boston, MA
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA
| | - Jason L. Hornick
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - Valentina Nardi
- Department of Pathology, Massachusetts General Hospital, Boston, MA
| | - Yvonne Y. Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- The Broad Institute of Harvard and MIT, Cambridge, MA
| | - Hersh Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- The Broad Institute of Harvard and MIT, Cambridge, MA
| | - Andrew D. Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- The Broad Institute of Harvard and MIT, Cambridge, MA
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- The Broad Institute of Harvard and MIT, Cambridge, MA
| | - James M. Cleary
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jonathan A. Nowak
- Harvard Medical School, Boston, MA
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA
| | - Brian M. Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Andrew J. Aguirre
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- The Broad Institute of Harvard and MIT, Cambridge, MA
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Alessi JV, Wang X, Elkrief A, Ricciuti B, Li YY, Gupta H, Spurr LF, Rizvi H, Luo J, Pecci F, Lamberti G, Recondo G, Venkatraman D, Di Federico A, Gandhi MM, Vaz VR, Nishino M, Sholl LM, Cherniack AD, Ladanyi M, Price A, Richards AL, Donoghue M, Lindsay J, Sharma B, Turner MM, Pfaff KL, Felt KD, Rodig SJ, Lin X, Meyerson ML, Johnson BE, Christiani DC, Schoenfeld AJ, Awad MM. Impact of Aneuploidy and Chromosome 9p Loss on Tumor Immune Microenvironment and Immune Checkpoint Inhibitor Efficacy in NSCLC. J Thorac Oncol 2023; 18:1524-1537. [PMID: 37247843 PMCID: PMC10913104 DOI: 10.1016/j.jtho.2023.05.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 04/28/2023] [Accepted: 05/13/2023] [Indexed: 05/31/2023]
Abstract
INTRODUCTION Although gene-level copy number alterations have been studied as a potential biomarker of immunotherapy efficacy in NSCLC, the impact of aneuploidy burden and chromosomal arm-level events on immune checkpoint inhibitor (ICI) efficacy in NSCLC is uncertain. METHODS Patients who received programmed cell death protein 1 or programmed death-ligand 1 (PD-L1) inhibitor at two academic centers were included. Across all 22 chromosomes analyzed, an arm was considered altered if at least 70% of its territory was either gained or deleted. Among nonsquamous NSCLCs which underwent targeted next-generation sequencing, we retrospectively quantified aneuploidy using the adjusted fraction of chromosomal arm alterations (FAA), defined as the number of altered chromosome arms divided by the number of chromosome arms assessed, adjusted for tumor purity. RESULTS Among 2293 nonsquamous NSCLCs identified, the median FAA increased with more advanced cancer stage and decreased with higher PD-L1 tumor proportion score (TPS) levels (median FAA in TPS < 1%: 0.09, TPS 1%-49%: 0.08, TPS ≥ 50%: 0.05, p < 0.0001). There was a very weak correlation between FAA and tumor mutational burden when taken as continuous variables (R: 0.07, p = 0.0005). A total of 765 advanced nonsquamous NSCLCs with available FAA values were treated with ICIs. With decreasing FAA tertiles, there was a progressive improvement in objective response rate (ORR 15.1% in upper tertile versus 23.2% in middle tertile versus 28.4% in lowest tertile, p = 0.001), median progression-free survival (mPFS 2.5 versus 3.3 versus 4.1 mo, p < 0.0001), and median overall survival (mOS 12.5 versus 13.9 versus 16.4 mo, p = 0.006), respectively. In the arm-level enrichment analysis, chromosome 9p loss (OR = 0.22, Q = 0.0002) and chromosome 1q gain (OR = 0.43, Q = 0.002) were significantly enriched in ICI nonresponders after false discovery rate adjustment. Compared with NSCLCs without chromosome 9p loss (n = 452), those with 9p loss (n = 154) had a lower ORR (28.1% versus 7.8%, p < 0.0001), a shorter mPFS (4.1 versus 2.3 mo, p < 0.0001), and a shorter mOS (18.0 versus 9.6 mo, p < 0.0001) to immunotherapy. In addition, among NSCLCs with high PD-L1 expression (TPS ≥ 50%), chromosome 9p loss was associated with lower ORR (43% versus 6%, p < 0.0001), shorter mPFS (6.4 versus 2.6 mo, p = 0.0006), and shorter mOS (30.2 versus 14.3 mo, p = 0.0008) to immunotherapy compared with NSCLCs without 9p loss. In multivariable analysis, adjusting for key variables including FAA, chromosome 9p loss, but not 1q gain, retained a significant impact on ORR (hazard ratio [HR] = 0.25, p < 0.001), mPFS (HR = 1.49, p = 0.001), and mOS (HR = 1.47, p = 0.003). Multiplexed immunofluorescence and computational deconvolution of RNA sequencing data revealed that tumors with either high FAA levels or chromosome 9p loss had significantly fewer tumor-associated cytotoxic immune cells. CONCLUSIONS Nonsquamous NSCLCs with high aneuploidy and chromosome 9p loss have a distinct tumor immune microenvironment and less favorable outcomes to ICIs.
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Affiliation(s)
- Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Arielle Elkrief
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Hersh Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Liam F Spurr
- Pritzker School of Medicine, The University of Chicago, Chicago, Illinois
| | - Hira Rizvi
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jia Luo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Gonzalo Recondo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Deepti Venkatraman
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Malini M Gandhi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Victor R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Adam Price
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Allison L Richards
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark Donoghue
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - James Lindsay
- Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Bijaya Sharma
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Madison M Turner
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kathleen L Pfaff
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kristen D Felt
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Scott J Rodig
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts; Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Matthew L Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Bruce E Johnson
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
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11
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Groves A, Ward A, Li YY, Lazo de la Vega L, Nag A, Forrest SJ, Gupta HV, Thorner AR, Meyerson M, Kamihara J, Cherniack AD, Janeway KA. Loss of heterozygosity does not occur in BRCA1/2 mutant pediatric solid and central nervous system tumors. Pediatr Blood Cancer 2023; 70:e30643. [PMID: 37596911 PMCID: PMC10883645 DOI: 10.1002/pbc.30643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 08/10/2023] [Accepted: 08/12/2023] [Indexed: 08/21/2023]
Abstract
Utilization of tumor-only sequencing has expanded in pediatric cancer patients, which can lead to identification of pathogenic variants in genes that may be germline and/or have uncertain relevance to the tumor in question, such as the homologous recombination (HR) pathway genes BRCA1/2. We identified patients with pathogenic BRCA1/2 mutations from somatic tumor sequencing, and performed additional germline sequencing to assess for the presence of loss of heterozygosity (LOH). Of seven patients identified, four (57.1%) mutations were found in the germline and none had associated LOH. Our data suggest that BRCA1/2 mutations identified in this context are likely incidental findings.
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Affiliation(s)
- Andrew Groves
- Division of Pediatric Hematology/Oncology, University of Iowa Stead Family Children's Hospital, Iowa City, Iowa, USA
| | - Abigail Ward
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Yvonne Y Li
- Dana-Farber Brigham and Women's Cancer Center, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Lorena Lazo de la Vega
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Anwesha Nag
- Dana-Farber Brigham and Women's Cancer Center, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Suzanne J Forrest
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Hersh V Gupta
- Dana-Farber Brigham and Women's Cancer Center, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Aaron R Thorner
- Dana-Farber Brigham and Women's Cancer Center, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Matthew Meyerson
- Dana-Farber Brigham and Women's Cancer Center, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Junne Kamihara
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew D Cherniack
- Dana-Farber Brigham and Women's Cancer Center, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Katherine A Janeway
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, Massachusetts, USA
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12
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Zou T, Zhou M, Gupta A, Zhuang P, Fishbein AR, Wei HY, Zhang Z, Cherniack AD, Meyerson M. XRN1 deletion induces PKR-dependent cell lethality in interferon-activated cancer cells. bioRxiv 2023:2023.08.01.551488. [PMID: 37577567 PMCID: PMC10418227 DOI: 10.1101/2023.08.01.551488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Emerging data suggest that induction of viral mimicry responses through activation of double-stranded RNA (dsRNA) sensors in cancer cells is a promising therapeutic strategy. One approach to induce viral mimicry is to target molecular regulators of dsRNA sensing pathways. Here, we show that the exoribonuclease XRN1 is a negative regulator of the dsRNA sensor protein kinase R (PKR) in cancer cells with high interferon-stimulated gene (ISG) expression. XRN1 deletion causes PKR activation and consequent cancer cell lethality. Disruption of interferon signaling with the JAK1/2 inhibitor ruxolitinib can decrease cellular PKR levels and rescue sensitivity to XRN1 deletion. Conversely, interferon-β stimulation can increase PKR levels and induce sensitivity to XRN1 inactivation. Lastly, XRN1 deletion causes accumulation of endogenous complementary sense/anti-sense RNAs, which may represent candidate PKR ligands. Our data demonstrate how XRN1 regulates PKR and nominate XRN1 as a potential therapeutic target in cancer cells with an activated interferon cell state.
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Affiliation(s)
- Tao Zou
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Meng Zhou
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Akansha Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Patrick Zhuang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Alyssa R. Fishbein
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Hope Y. Wei
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Zhouwei Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Andrew D. Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Center for Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
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13
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Ricciuti B, Elkrief A, Alessi J, Wang X, Li Y, Gupta H, Muldoon DM, Bertram AA, Pecci F, Lamberti G, Federico AD, Barrichello A, Vaz VR, Gandhi M, Lee E, Shapiro GI, Park H, Nishino M, Lindsay J, Felt KD, Sharma B, Cherniack AD, Rodig S, Gomez DR, Shaverdian N, Rakaee M, Bandlamudi C, Ladanyi M, Janne PA, Schoenfeld AJ, Sholl LM, Awad MM, Cheng ML. Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non-Small Cell Lung Cancer. Clin Cancer Res 2023; 29:2540-2550. [PMID: 37097610 PMCID: PMC11031845 DOI: 10.1158/1078-0432.ccr-22-3413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 03/09/2023] [Accepted: 04/20/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE ATM is the most commonly mutated DNA damage and repair gene in non-small cell lung cancer (NSCLC); however, limited characterization has been pursued. EXPERIMENTAL DESIGN Clinicopathologic, genomic, and treatment data were collected for 5,172 patients with NSCLC tumors which underwent genomic profiling. ATM IHC was performed on 182 NSCLCs with ATM mutations. Multiplexed immunofluorescence was performed on a subset of 535 samples to examine tumor-infiltrating immune cell subsets. RESULTS A total of 562 deleterious ATM mutations were identified in 9.7% of NSCLC samples. ATM-mutant (ATMMUT) NSCLC was significantly associated with female sex (P = 0.02), ever smoking status (P < 0.001), non-squamous histology (P = 0.004), and higher tumor mutational burden (DFCI, P < 0.0001; MSK, P < 0.0001) compared with ATM-wild-type (ATMWT) cases. Among 3,687 NSCLCs with comprehensive genomic profiling, co-occurring KRAS, STK11, and ARID2 oncogenic mutations were significantly enriched among ATMMUT NSCLCs (Q < 0.05), while TP53 and EGFR mutations were enriched in ATMWT NSCLCs. Among 182 ATMMUT samples with ATM IHC, tumors with nonsense, insertions/deletions, or splice site mutations were significantly more likely to display ATM loss by IHC (71.4% vs. 28.6%; P < 0.0001) compared with tumors with only predicted pathogenic missense mutations. Clinical outcomes to PD-(L)1 monotherapy (N = 1,522) and chemo-immunotherapy (N = 951) were similar between ATMMUT and ATMWT NSCLCs. Patients with concurrent ATM/TP53 mutations had significantly improved response rate and progression-free survival with PD-(L)1 monotherapy. CONCLUSIONS Deleterious ATM mutations defined a subset of NSCLC with unique clinicopathologic, genomic, and immunophenotypic features. Our data may serve as resource to guide interpretation of specific ATM mutations in NSCLC.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Arielle Elkrief
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Joao Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Xinan Wang
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Yvonne Li
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Hersh Gupta
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Daniel M. Muldoon
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Arrien A. Bertram
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Alessandro Di Federico
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Adriana Barrichello
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Victor R. Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Malini Gandhi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Elinton Lee
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Geoffrey I. Shapiro
- Center for DNA Damage and Repair (CDDR), Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hyesun Park
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - James Lindsay
- ImmunoProfile, Brigham & Women’s Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kristen D. Felt
- ImmunoProfile, Brigham & Women’s Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Bijaya Sharma
- ImmunoProfile, Brigham & Women’s Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Andrew D. Cherniack
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Scott Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Daniel R. Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Narek Shaverdian
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mehrdad Rakaee
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Chaitanya Bandlamudi
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc Ladanyi
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Pasi A. Janne
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Adam J. Schoenfeld
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lynette M. Sholl
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Michael L. Cheng
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
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14
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Shih J, Sarmashghi S, Zhakula-Kostadinova N, Zhang S, Georgis Y, Hoyt SH, Cuoco MS, Gao GF, Spurr LF, Berger AC, Ha G, Rendo V, Shen H, Meyerson M, Cherniack AD, Taylor AM, Beroukhim R. Cancer aneuploidies are shaped primarily by effects on tumour fitness. Nature 2023; 619:793-800. [PMID: 37380777 PMCID: PMC10529820 DOI: 10.1038/s41586-023-06266-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 05/26/2023] [Indexed: 06/30/2023]
Abstract
Aneuploidies-whole-chromosome or whole-arm imbalances-are the most prevalent alteration in cancer genomes1,2. However, it is still debated whether their prevalence is due to selection or ease of generation as passenger events1,2. Here we developed a method, BISCUT, that identifies loci subject to fitness advantages or disadvantages by interrogating length distributions of telomere- or centromere-bounded copy-number events. These loci were significantly enriched for known cancer driver genes, including genes not detected through analysis of focal copy-number events, and were often lineage specific. BISCUT identified the helicase-encoding gene WRN as a haploinsufficient tumour-suppressor gene on chromosome 8p, which is supported by several lines of evidence. We also formally quantified the role of selection and mechanical biases in driving aneuploidy, finding that rates of arm-level copy-number alterations are most highly correlated with their effects on cellular fitness1,2. These results provide insight into the driving forces behind aneuploidy and its contribution to tumorigenesis.
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Affiliation(s)
- Juliann Shih
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Tufts University School of Medicine, Boston, MA, USA
- Department of Internal Medicine, Kirk Kerkorian School of Medicine at the University of Nevada, Las Vegas, NV, USA
| | - Shahab Sarmashghi
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nadja Zhakula-Kostadinova
- Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Genetics and Development, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Shu Zhang
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yohanna Georgis
- Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Stephanie H Hoyt
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michael S Cuoco
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Galen F Gao
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Liam F Spurr
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ashton C Berger
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gavin Ha
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Veronica Rendo
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hui Shen
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI, USA
| | - Matthew Meyerson
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Andrew D Cherniack
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alison M Taylor
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Rameen Beroukhim
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
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15
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Lee S, Hoyt S, Wu X, Garvie C, McGaunn J, Shekhar M, Tötzl M, Rees MG, Cherniack AD, Meyerson M, Greulich H. Velcrin-induced selective cleavage of tRNA Leu(TAA) by SLFN12 causes cancer cell death. Nat Chem Biol 2023; 19:301-310. [PMID: 36302897 DOI: 10.1038/s41589-022-01170-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 09/08/2022] [Indexed: 11/08/2022]
Abstract
Velcrin compounds kill cancer cells expressing high levels of phosphodiesterase 3A (PDE3A) and Schlafen family member 12 (SLFN12) by inducing complex formation between these two proteins, but the mechanism of cancer cell killing by the PDE3A-SLFN12 complex is not fully understood. Here, we report that the physiological substrate of SLFN12 RNase is tRNALeu(TAA). SLFN12 selectively digests tRNALeu(TAA), and velcrin treatment promotes the cleavage of tRNALeu(TAA) by inducing PDE3A-SLFN12 complex formation in vitro. We found that distinct sequences in the variable loop and acceptor stem of tRNALeu(TAA) are required for substrate digestion. Velcrin treatment of sensitive cells results in downregulation of tRNALeu(TAA), ribosome pausing at Leu-TTA codons and global inhibition of protein synthesis. Velcrin-induced cleavage of tRNALeu(TAA) by SLFN12 and the concomitant global inhibition of protein synthesis thus define a new mechanism of apoptosis initiation.
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Affiliation(s)
- Sooncheol Lee
- Cancer Program, Broad Institute, Cambridge, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Xiaoyun Wu
- Cancer Program, Broad Institute, Cambridge, MA, USA
- Astra-Zeneca, Waltham, MA, USA
| | - Colin Garvie
- Center for the Development of Therapeutics, Broad Institute, Cambridge, MA, USA
| | | | - Mrinal Shekhar
- Center for the Development of Therapeutics, Broad Institute, Cambridge, MA, USA
| | - Marcus Tötzl
- Cancer Program, Broad Institute, Cambridge, MA, USA
- Children's Cancer Research Institute, Vienna, Austria
| | | | - Andrew D Cherniack
- Cancer Program, Broad Institute, Cambridge, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew Meyerson
- Cancer Program, Broad Institute, Cambridge, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Heidi Greulich
- Cancer Program, Broad Institute, Cambridge, MA, USA.
- Dana-Farber Cancer Institute, Boston, MA, USA.
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16
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Marinoff AE, Spurr LF, Fong C, Li YY, Forrest SJ, Ward A, Doan D, Corson L, Mauguen A, Pinto N, Maese L, Colace S, Macy ME, Kim A, Sabnis AJ, Applebaum MA, Laetsch TW, Glade-Bender J, Weiser DA, Anderson M, Crompton BD, Meyers P, Zehir A, MacConaill L, Lindeman N, Nowak JA, Ladanyi M, Church AJ, Cherniack AD, Shukla N, Janeway KA. Clinical Targeted Next-Generation Panel Sequencing Reveals MYC Amplification Is a Poor Prognostic Factor in Osteosarcoma. JCO Precis Oncol 2023; 7:e2200334. [PMID: 36996377 PMCID: PMC10531050 DOI: 10.1200/po.22.00334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/11/2022] [Accepted: 01/09/2023] [Indexed: 04/01/2023] Open
Abstract
PURPOSE Osteosarcoma risk stratification, on the basis of the presence of metastatic disease at diagnosis and histologic response to chemotherapy, has remained unchanged for four decades, does not include genomic features, and has not facilitated treatment advances. We report on the genomic features of advanced osteosarcoma and provide evidence that genomic alterations can be used for risk stratification. MATERIALS AND METHODS In a primary analytic patient cohort, 113 tumor and 69 normal samples from 92 patients with high-grade osteosarcoma were sequenced with OncoPanel, a targeted next-generation sequencing assay. In this primary cohort, we assessed the genomic landscape of advanced disease and evaluated the correlation between recurrent genomic events and outcome. We assessed whether prognostic associations identified in the primary cohort were maintained in a validation cohort of 86 patients with localized osteosarcoma tested with MSK-IMPACT. RESULTS In the primary cohort, 3-year overall survival (OS) was 65%. Metastatic disease, present in 33% of patients at diagnosis, was associated with poor OS (P = .04). The most frequently altered genes in the primary cohort were TP53, RB1, MYC, CCNE1, CCND3, CDKN2A/B, and ATRX. Mutational signature 3 was present in 28% of samples. MYC amplification was associated with a worse 3-year OS in both the primary cohort (P = .015) and the validation cohort (P = .012). CONCLUSION The most frequently occurring genomic events in advanced osteosarcoma were similar to those described in prior reports. MYC amplification, detected with clinical targeted next-generation sequencing panel tests, is associated with poorer outcomes in two independent cohorts.
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Affiliation(s)
- Amanda E. Marinoff
- Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
- Pediatric Hematology/Oncology, UCSF Benioff Children's Hospital, San Francisco, CA
| | - Liam F. Spurr
- Broad Institute of Harvard and MIT, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Pritzker School of Medicine, Biological Sciences Division, The University of Chicago, Chicago, IL
| | - Christina Fong
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Yvonne Y. Li
- Harvard Medical School, Boston, MA
- Broad Institute of Harvard and MIT, Boston, MA
| | - Suzanne J. Forrest
- Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Abigail Ward
- Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Duong Doan
- Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Laura Corson
- Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Audrey Mauguen
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Navin Pinto
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Washington, Seattle, WA
| | - Luke Maese
- University of Utah, Huntsman Cancer Institute, and Primary Children's Hospital, Salt Lake City, UT
| | - Susan Colace
- Pediatric Hematology/Oncology/Blood and Marrow Transplant, Nationwide Children's Hospital, Columbus, OH
| | - Margaret E. Macy
- Department of Pediatric Hematology/Oncology, University of Colorado and The Center for Cancer and Blood Disorders, Colorado Children's Hospital, Denver, CO
| | - AeRang Kim
- Center for Cancer and Blood Disorders, Children's National Medical Center, Washington, DC
| | - Amit J. Sabnis
- Pediatric Hematology/Oncology, UCSF Benioff Children's Hospital, San Francisco, CA
| | | | - Theodore W. Laetsch
- Division of Oncology, Department of Pediatrics, Children’s Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA
| | - Julia Glade-Bender
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Daniel A. Weiser
- Department of Pediatric Hematology/Oncology, Children's Hospital at Montefiore, New York, NY
| | - Megan Anderson
- Harvard Medical School, Boston, MA
- Department of Orthopedic Surgery, Boston Children's Hospital, Boston, MA
| | - Brian D. Crompton
- Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Paul Meyers
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ahmet Zehir
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Laura MacConaill
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Neal Lindeman
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jonathan A. Nowak
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alanna J. Church
- Harvard Medical School, Boston, MA
- Department of Pathology, Boston Children's Hospital, Boston, MA
| | - Andrew D. Cherniack
- Harvard Medical School, Boston, MA
- Broad Institute of Harvard and MIT, Boston, MA
| | - Neerav Shukla
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Katherine A. Janeway
- Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
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Gerstung M, Jolly C, Leshchiner I, Dentro SC, Gonzalez S, Rosebrock D, Mitchell TJ, Rubanova Y, Anur P, Yu K, Tarabichi M, Deshwar A, Wintersinger J, Kleinheinz K, Vázquez-García I, Haase K, Jerman L, Sengupta S, Macintyre G, Malikic S, Donmez N, Livitz DG, Cmero M, Demeulemeester J, Schumacher S, Fan Y, Yao X, Lee J, Schlesner M, Boutros PC, Bowtell DD, Zhu H, Getz G, Imielinski M, Beroukhim R, Sahinalp SC, Ji Y, Peifer M, Markowetz F, Mustonen V, Yuan K, Wang W, Morris QD, Spellman PT, Wedge DC, Van Loo P, Tarabichi M, Wintersinger J, Deshwar AG, Yu K, Gonzalez S, Rubanova Y, Macintyre G, Adams DJ, Anur P, Beroukhim R, Boutros PC, Bowtell DD, Campbell PJ, Cao S, Christie EL, Cmero M, Cun Y, Dawson KJ, Demeulemeester J, Donmez N, Drews RM, Eils R, Fan Y, Fittall M, Garsed DW, Getz G, Ha G, Imielinski M, Jerman L, Ji Y, Kleinheinz K, Lee J, Lee-Six H, Livitz DG, Malikic S, Markowetz F, Martincorena I, Mitchell TJ, Mustonen V, Oesper L, Peifer M, Peto M, Raphael BJ, Rosebrock D, Sahinalp SC, Salcedo A, Schlesner M, Schumacher S, Sengupta S, Shi R, Shin SJ, Spiro O, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Stein LD, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Vázquez-García I, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Vembu S, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Wheeler DA, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Yang TP, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Yao X, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Yuan K, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Zhu H, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Wang W, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Morris QD, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Spellman PT, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Wedge DC, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Van Loo P, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Spellman PT, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Wedge DC, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Van Loo P, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Aaltonen LA, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Abascal F, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Abeshouse A, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Aburatani H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Adams DJ, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Agrawal N, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Ahn KS, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Ahn SM, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Aikata H, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Akbani R, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Akdemir KC, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Al-Ahmadie H, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Al-Sedairy ST, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Al-Shahrour F, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Alawi M, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Albert M, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Aldape K, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Alexandrov LB, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Ally A, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Alsop K, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Alvarez EG, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Amary F, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Amin SB, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Aminou B, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ammerpohl O, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Anderson MJ, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Ang Y, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, Antonello D, von Mering C, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, Doddapaneni H, Donmez N, Dow MT, Drapkin R, Drechsel O, Drews RM, Serge S, Dudderidge T, Dueso-Barroso A, Dunford AJ, Dunn M, Dursi LJ, Duthie FR, Dutton-Regester K, Eagles J, Easton DF, Edmonds S, Edwards PA, Edwards SE, Eeles RA, Ehinger A, Eils J, Eils R, El-Naggar A, Eldridge M, Ellrott K, Erkek S, Escaramis G, Espiritu SMG, Estivill X, Etemadmoghadam D, Eyfjord JE, Faltas BM, Fan D, Fan Y, Faquin WC, Farcas C, Fassan M, Fatima A, Favero F, Fayzullaev N, Felau I, Fereday S, Ferguson ML, Ferretti V, Feuerbach L, Field MA, Fink JL, Finocchiaro G, Fisher C, Fittall MW, Fitzgerald A, Fitzgerald RC, Flanagan AM, Fleshner NE, Flicek P, Foekens JA, Fong KM, Fonseca NA, Foster CS, Fox NS, Fraser M, Frazer S, Frenkel-Morgenstern M, Friedman W, Frigola J, Fronick CC, Fujimoto A, Fujita M, Fukayama M, Fulton LA, Fulton RS, Furuta M, Futreal PA, Füllgrabe A, Gabriel SB, Gallinger S, Gambacorti-Passerini C, Gao J, Gao S, Garraway L, Garred Ø, Garrison E, Garsed DW, Gehlenborg N, Gelpi JLL, George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV. Author Correction: The evolutionary history of 2,658 cancers. Nature 2023; 614:E42. [PMID: 36697833 PMCID: PMC9931577 DOI: 10.1038/s41586-022-05601-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Moritz Gerstung
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK. .,European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. .,Wellcome Sanger Institute, Cambridge, UK.
| | - Clemency Jolly
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Ignaty Leshchiner
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Stefan C. Dentro
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK
| | - Santiago Gonzalez
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Daniel Rosebrock
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Thomas J. Mitchell
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Yulia Rubanova
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Pavana Anur
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - Kaixian Yu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Maxime Tarabichi
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Amit Deshwar
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Jeff Wintersinger
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Kortine Kleinheinz
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Heidelberg University, Heidelberg, Germany
| | - Ignacio Vázquez-García
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Kerstin Haase
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Lara Jerman
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK ,grid.8954.00000 0001 0721 6013University of Ljubljana, Ljubljana, Slovenia
| | - Subhajit Sengupta
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA
| | - Geoff Macintyre
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Salem Malikic
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Nilgun Donmez
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Dimitri G. Livitz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Marek Cmero
- grid.1008.90000 0001 2179 088XUniversity of Melbourne, Melbourne, Victoria Australia ,grid.1042.70000 0004 0432 4889Walter and Eliza Hall Institute, Melbourne, Victoria Australia
| | - Jonas Demeulemeester
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.5596.f0000 0001 0668 7884University of Leuven, Leuven, Belgium
| | - Steven Schumacher
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Yu Fan
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Xiaotong Yao
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Juhee Lee
- grid.205975.c0000 0001 0740 6917University of California Santa Cruz, Santa Cruz, CA USA
| | - Matthias Schlesner
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul C. Boutros
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.419890.d0000 0004 0626 690XOntario Institute for Cancer Research, Toronto, Ontario Canada ,grid.19006.3e0000 0000 9632 6718University of California, Los Angeles, CA USA
| | - David D. Bowtell
- grid.1055.10000000403978434Peter MacCallum Cancer Centre, Melbourne, Victoria Australia
| | - Hongtu Zhu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Gad Getz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA USA ,grid.32224.350000 0004 0386 9924Department of Pathology, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Marcin Imielinski
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Rameen Beroukhim
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - S. Cenk Sahinalp
- grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada ,grid.411377.70000 0001 0790 959XIndiana University, Bloomington, IN USA
| | - Yuan Ji
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822The University of Chicago, Chicago, IL USA
| | - Martin Peifer
- grid.6190.e0000 0000 8580 3777University of Cologne, Cologne, Germany
| | - Florian Markowetz
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ville Mustonen
- grid.7737.40000 0004 0410 2071University of Helsinki, Helsinki, Finland
| | - Ke Yuan
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK ,grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Wenyi Wang
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Quaid D. Morris
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | | | - Paul T. Spellman
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - David C. Wedge
- grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK ,grid.454382.c0000 0004 7871 7212Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Peter Van Loo
- The Francis Crick Institute, London, UK. .,University of Leuven, Leuven, Belgium.
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Calabrese C, Davidson NR, Demircioğlu D, Fonseca NA, He Y, Kahles A, Lehmann KV, Liu F, Shiraishi Y, Soulette CM, Urban L, Greger L, Li S, Liu D, Perry MD, Xiang Q, Zhang F, Zhang J, Bailey P, Erkek S, Hoadley KA, Hou Y, Huska MR, Kilpinen H, Korbel JO, Marin MG, Markowski J, Nandi T, Pan-Hammarström Q, Pedamallu CS, Siebert R, Stark SG, Su H, Tan P, Waszak SM, Yung C, Zhu S, Awadalla P, Creighton CJ, Meyerson M, Ouellette BFF, Wu K, Yang H, Brazma A, Brooks AN, Göke J, Rätsch G, Schwarz RF, Stegle O, Zhang Z, Wu K, Yang H, Fonseca NA, Kahles A, Lehmann KV, Urban L, Soulette CM, Shiraishi Y, Liu F, He Y, Demircioğlu D, Davidson NR, Calabrese C, Zhang J, Perry MD, Xiang Q, Greger L, Li S, Liu D, Stark SG, Zhang F, Amin SB, Bailey P, Chateigner A, Cortés-Ciriano I, Craft B, Erkek S, Frenkel-Morgenstern M, Goldman M, Hoadley KA, Hou Y, Huska MR, Khurana E, Kilpinen H, Korbel JO, Lamaze FC, Li C, Li X, Li X, Liu X, Marin MG, Markowski J, Nandi T, Nielsen MM, Ojesina AI, Pan-Hammarström Q, Park PJ, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Pedamallu CS, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV, Pedersen JS, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Siebert R, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Su H, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Tan P, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Teh BT, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Wang J, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Waszak SM, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Xiong H, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Yakneen S, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Ye C, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Yung C, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Zhang X, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Zheng L, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Zhu J, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Zhu S, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Awadalla P, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Creighton CJ, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Meyerson M, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Ouellette BFF, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Wu K, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Yang H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Göke J, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Schwarz RF, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Stegle O, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Zhang Z, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Brazma A, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Rätsch G, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Brooks AN, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Brazma A, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Brooks AN, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Göke J, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Rätsch G, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Schwarz RF, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Stegle O, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Zhang Z, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Aaltonen LA, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Abascal F, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Abeshouse A, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Aburatani H, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Adams DJ, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Agrawal N, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ahn KS, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Ahn SM, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Aikata H, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, Akbani R, von Mering C, Akdemir KC, Al-Ahmadie H, Al-Sedairy ST, Al-Shahrour F, Alawi M, Albert M, Aldape K, Alexandrov LB, Ally A, Alsop K, Alvarez EG, Amary F, Amin SB, Aminou B, Ammerpohl O, Anderson MJ, Ang Y, Antonello D, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, Doddapaneni H, Donmez N, Dow MT, Drapkin R, Drechsel O, Drews RM, Serge S, Dudderidge T, Dueso-Barroso A, Dunford AJ, Dunn M, Dursi LJ, Duthie FR, Dutton-Regester K, Eagles J, Easton DF, Edmonds S, Edwards PA, Edwards SE, Eeles RA, Ehinger A, Eils J, Eils R, El-Naggar A, Eldridge M, Ellrott K, Erkek S, Escaramis G, Espiritu SMG, Estivill X, Etemadmoghadam D, Eyfjord JE, Faltas BM, Fan D, Fan Y, Faquin WC, Farcas C, Fassan M, Fatima A, Favero F, Fayzullaev N, Felau I, Fereday S, Ferguson ML, Ferretti V, Feuerbach L, Field MA, Fink JL, Finocchiaro G, Fisher C, Fittall MW, Fitzgerald A, Fitzgerald RC, Flanagan AM, Fleshner NE, Flicek P, Foekens JA, 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Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, 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Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, 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Author Correction: Genomic basis for RNA alterations in cancer. Nature 2023; 614:E37. [PMID: 36697831 PMCID: PMC9931574 DOI: 10.1038/s41586-022-05596-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
| | - Claudia Calabrese
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Natalie R. Davidson
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medical College, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Deniz Demircioğlu
- grid.4280.e0000 0001 2180 6431National University of Singapore, Singapore, Singapore ,grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Nuno A. Fonseca
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Yao He
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - André Kahles
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Kjong-Van Lehmann
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Fenglin Liu
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Yuichi Shiraishi
- grid.26999.3d0000 0001 2151 536XThe University of Tokyo, Minato-ku, Japan
| | - Cameron M. Soulette
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Lara Urban
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Liliana Greger
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Siliang Li
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Dongbing Liu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Marc D. Perry
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.266102.10000 0001 2297 6811University of California, San Francisco, San Francisco, CA USA
| | - Qian Xiang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Fan Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Junjun Zhang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Peter Bailey
- grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Serap Erkek
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Katherine A. Hoadley
- grid.10698.360000000122483208The University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Yong Hou
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Matthew R. Huska
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Helena Kilpinen
- grid.83440.3b0000000121901201University College London, London, UK
| | - Jan O. Korbel
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Maximillian G. Marin
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Julia Markowski
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Tannistha Nandi
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Qiang Pan-Hammarström
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.4714.60000 0004 1937 0626Karolinska Institutet, Stockholm, Sweden
| | - Chandra Sekhar Pedamallu
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Reiner Siebert
- grid.410712.10000 0004 0473 882XUlm University and Ulm University Medical Center, Ulm, Germany
| | - Stefan G. Stark
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Hong Su
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Patrick Tan
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, Singapore, Singapore
| | - Sebastian M. Waszak
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Christina Yung
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Shida Zhu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Philip Awadalla
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada
| | - Chad J. Creighton
- grid.39382.330000 0001 2160 926XBaylor College of Medicine, Houston, TX USA
| | - Matthew Meyerson
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | | | - Kui Wu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Huanming Yang
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China
| | | | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
| | - Angela N. Brooks
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA ,grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - Jonathan Göke
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745National Cancer Centre Singapore, Singapore, Singapore
| | - Gunnar Rätsch
- ETH Zurich, Zurich, Switzerland. .,Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Weill Cornell Medical College, New York, NY, USA. .,SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,University Hospital Zurich, Zurich, Switzerland.
| | - Roland F. Schwarz
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), partner site Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oliver Stegle
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Zemin Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
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| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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19
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Orsi D, Pook E, Bräuer N, Friberg A, Lienau P, Lemke CT, Stellfeld T, Brüggemeier U, Pütter V, Meyer H, Baco M, Tang S, Cherniack AD, Westlake L, Bender SA, Kocak M, Strathdee CA, Meyerson M, Eis K, Goldstein JT. Correction to "Discovery and Structure-Based Design of Potent Covalent PPARγ Inverse-Agonists BAY-4931 and BAY-0069". J Med Chem 2022; 66:1082. [PMID: 36542814 PMCID: PMC9841977 DOI: 10.1021/acs.jmedchem.2c02002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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20
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Orsi D, Pook E, Bräuer N, Friberg A, Lienau P, Lemke CT, Stellfeld T, Brüggemeier U, Pütter V, Meyer H, Baco M, Tang S, Cherniack AD, Westlake L, Bender SA, Kocak M, Strathdee CA, Meyerson M, Eis K, Goldstein JT. Discovery and Structure-Based Design of Potent Covalent PPARγ Inverse-Agonists BAY-4931 and BAY-0069. J Med Chem 2022; 65:14843-14863. [PMID: 36270630 PMCID: PMC9662185 DOI: 10.1021/acs.jmedchem.2c01379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Indexed: 11/29/2022]
Abstract
The ligand-activated nuclear receptor peroxisome-proliferator-activated receptor-γ (PPARG or PPARγ) represents a potential target for a new generation of cancer therapeutics, especially in muscle-invasive luminal bladder cancer where PPARγ is a critical lineage driver. Here we disclose the discovery of a series of chloro-nitro-arene covalent inverse-agonists of PPARγ that exploit a benzoxazole core to improve interactions with corepressors NCOR1 and NCOR2. In vitro treatment of sensitive cell lines with these compounds results in the robust regulation of PPARγ target genes and antiproliferative effects. Despite their imperfect physicochemical properties, the compounds showed modest pharmacodynamic target regulation in vivo. Improvements to the in vitro potency and efficacy of BAY-4931 and BAY-0069 compared to those of previously described PPARγ inverse-agonists show that these compounds are novel tools for probing the in vitro biology of PPARγ inverse-agonism.
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Affiliation(s)
- Douglas
L. Orsi
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Elisabeth Pook
- Research
and Development, Pharmaceuticals, Bayer
AG, 13353 Berlin, Germany
| | | | | | - Philip Lienau
- Research
and Development, Pharmaceuticals, Bayer
AG, 13353 Berlin, Germany
| | - Christopher T. Lemke
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | | | - Ulf Brüggemeier
- Research
and Development, Pharmaceuticals, Bayer
AG, 13353 Berlin, Germany
| | | | | | - Maria Baco
- Cancer
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Stephanie Tang
- Cancer
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Andrew D. Cherniack
- Cancer
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Department
of Medical Oncology, Dana-Farber Cancer
Institute, Boston, Massachusetts 02215, United States
| | - Lindsay Westlake
- Cancer
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Samantha A. Bender
- Cancer
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Mustafa Kocak
- Cancer
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Craig A. Strathdee
- Cancer
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Matthew Meyerson
- Cancer
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Department
of Medical Oncology, Dana-Farber Cancer
Institute, Boston, Massachusetts 02215, United States
- Center for
Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, United States
- Department
of Genetics and Medicine, Harvard Medical
School, Boston, Massachusetts 02115, United States
| | - Knut Eis
- Research
and Development, Pharmaceuticals, Bayer
AG, 13353 Berlin, Germany
| | - Jonathan T. Goldstein
- Cancer
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
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21
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Roh W, Geffen Y, Cha H, Miller M, Anand S, Kim J, Heiman DI, Gainor JF, Laird PW, Cherniack AD, Ock CY, Lee SH, Getz G. High-Resolution Profiling of Lung Adenocarcinoma Identifies Expression Subtypes with Specific Biomarkers and Clinically Relevant Vulnerabilities. Cancer Res 2022; 82:3917-3931. [PMID: 36040373 PMCID: PMC9718502 DOI: 10.1158/0008-5472.can-22-0432] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 06/30/2022] [Accepted: 08/19/2022] [Indexed: 11/16/2022]
Abstract
Lung adenocarcinoma (LUAD) is one of the most common cancer types and has various treatment options. Better biomarkers to predict therapeutic response are needed to guide choice of treatment modality and to improve precision medicine. Here, we used a consensus hierarchical clustering approach on 509 LUAD cases from The Cancer Genome Atlas to identify five robust LUAD expression subtypes. Genomic and proteomic data from patient samples and cell lines was then integrated to help define biomarkers of response to targeted therapies and immunotherapies. This approach defined subtypes with unique proteogenomic and dependency profiles. Subtype 4 (S4)-associated cell lines exhibited specific vulnerability to loss of CDK6 and CDK6-cyclin D3 complex gene (CCND3). Subtype 3 (S3) was characterized by dependency on CDK4, immune-related expression patterns, and altered MET signaling. Experimental validation showed that S3-associated cell lines responded to MET inhibitors, leading to increased expression of programmed death-ligand 1 (PD-L1). In an independent real-world patient dataset, patients with S3 tumors were enriched with responders to immune checkpoint blockade. Genomic features in S3 and S4 were further identified as biomarkers for enabling clinical diagnosis of these subtypes. Overall, our consensus hierarchical clustering approach identified robust tumor expression subtypes, and our subsequent integrative analysis of genomics, proteomics, and CRISPR screening data revealed subtype-specific biology and vulnerabilities. These LUAD expression subtypes and their biomarkers could help identify patients likely to respond to CDK4/6, MET, or PD-L1 inhibitors, potentially improving patient outcome. SIGNIFICANCE Integrative analysis of multiomic and drug dependency data uncovers robust lung adenocarcinoma expression subtypes with unique therapeutic vulnerabilities and subtype-specific biomarkers of response.
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Affiliation(s)
- Whijae Roh
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Yifat Geffen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts.,Cancer Center and Dept. of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Hongui Cha
- Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Mendy Miller
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Shankara Anand
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Jaegil Kim
- GSK inc. 196 Broadway, Cambridge, Massachusetts
| | - David I Heiman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Justin F Gainor
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | | | - Andrew D Cherniack
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | | | - Se-Hoon Lee
- Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Department of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts.,Cancer Center and Dept. of Pathology, Massachusetts General Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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22
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Lazo De La Vega L, Comeau H, Sallan S, Al-Ibraheemi A, Gupta H, Li YY, Tsai HK, Kang W, Ward A, Church AJ, Kim A, Pinto NR, Macy ME, Maese LD, Sabnis AJ, Cherniack AD, Lindeman NI, Anderson ME, Cooney TM, Yeo KK, Reaman GH, DuBois SG, Collins NB, Johnson BE, Janeway KA, Forrest SJ. Rare FGFR Oncogenic Alterations in Sequenced Pediatric Solid and Brain Tumors Suggest FGFR Is a Relevant Molecular Target in Childhood Cancer. JCO Precis Oncol 2022; 6:e2200390. [PMID: 36446043 PMCID: PMC9812632 DOI: 10.1200/po.22.00390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/02/2022] [Accepted: 09/30/2022] [Indexed: 11/30/2022] Open
Abstract
PURPOSE Multiple FGFR inhibitors are currently in clinical trials enrolling adults with different solid tumors, while very few enroll pediatric patients. We determined the types and frequency of FGFR alterations (FGFR1-4) in pediatric cancers to inform future clinical trial design. METHODS Tumors with FGFR alterations were identified from two large cohorts of pediatric solid tumors subjected to targeted DNA sequencing: The Dana-Farber/Boston Children's Profile Study (n = 888) and the multi-institution GAIN/iCAT2 (Genomic Assessment Improves Novel Therapy) Study (n = 571). Data from the combined patient population of 1,395 cases (64 patients were enrolled in both studies) were reviewed and cases in which an FGFR alteration was identified by OncoPanel sequencing were further assessed. RESULTS We identified 41 patients with tumors harboring an oncogenic FGFR alteration. Median age at diagnosis was 8 years (range, 6 months-26 years). Diagnoses included 11 rhabdomyosarcomas, nine low-grade gliomas, and 17 other tumor types. Alterations included gain-of-function sequence variants (n = 19), amplifications (n = 10), oncogenic fusions (FGFR3::TACC3 [n = 3], FGFR1::TACC1 [n = 1], FGFR1::EBF2 [n = 1], FGFR1::CLIP2 [n = 1], and FGFR2::CTNNA3 [n = 1]), pathogenic-leaning variants of uncertain significance (n = 4), and amplification in combination with a pathogenic-leaning variant of uncertain significance (n = 1). Two novel FGFR1 fusions in two different patients were identified in this cohort, one of whom showed a response to an FGFR inhibitor. CONCLUSION In summary, activating FGFR alterations were found in approximately 3% (41/1,395) of pediatric solid tumors, identifying a population of children with cancer who may be eligible and good candidates for trials evaluating FGFR-targeted therapy. Importantly, the genomic and clinical data from this study can help inform drug development in accordance with the Research to Accelerate Cures and Equity for Children Act.
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Affiliation(s)
- Lorena Lazo De La Vega
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Hannah Comeau
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Sarah Sallan
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Alyaa Al-Ibraheemi
- Boston Children's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Hersh Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Yvonne Y. Li
- Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Harrison K. Tsai
- Boston Children's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | | | - Abigail Ward
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
| | - Alanna J. Church
- Boston Children's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - AeRang Kim
- Children's National Hospital, Washington, DC
- George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Navin R. Pinto
- Seattle Children's Hospital, Seattle, WA
- University of Washington, Seattle, WA
| | - Margaret E. Macy
- Children's Hospital of Colorado, Aurora, CO
- University of Colorado School of Medicine, Aurora, CO
| | - Luke D. Maese
- Primary Children's Hospital, Salt Lake City, UT
- University of Utah Huntsman Cancer Institute, Salt Lake City, UT
| | - Amit J. Sabnis
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA
| | - Andrew D. Cherniack
- Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Neal I. Lindeman
- Harvard Medical School, Boston, MA
- Brigham & Women's Hospital, Boston, MA
| | - Megan E. Anderson
- Harvard Medical School, Boston, MA
- Orthopedic Center, Boston Children's Hospital, Boston, MA
| | - Tabitha M. Cooney
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Kee Kiat Yeo
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Gregory H. Reaman
- Oncology Center of Excellence, US Food and Drug Administration, Silver Spring, MD
| | - Steven G. DuBois
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Natalie B. Collins
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Bruce E. Johnson
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Brigham & Women's Hospital, Boston, MA
| | - Katherine A. Janeway
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Suzanne J. Forrest
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA
- Harvard Medical School, Boston, MA
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23
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Gao GF, Oh C, Saksena G, Deng D, Westlake LC, Hill BA, Reich M, Schumacher SE, Berger AC, Carter SL, Cherniack AD, Meyerson M, Tabak B, Beroukhim R, Getz G. Tangent normalization for somatic copy-number inference in cancer genome analysis. Bioinformatics 2022; 38:4677-4686. [PMID: 36040167 PMCID: PMC9563697 DOI: 10.1093/bioinformatics/btac586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 07/28/2022] [Indexed: 11/12/2022] Open
Abstract
MOTIVATION Somatic copy-number alterations (SCNAs) play an important role in cancer development. Systematic noise in sequencing and array data present a significant challenge to the inference of SCNAs for cancer genome analyses. As part of The Cancer Genome Atlas, the Broad Institute Genome Characterization Center developed the Tangent normalization method to generate copy-number profiles using data from single-nucleotide polymorphism (SNP) arrays and whole-exome sequencing (WES) technologies for over 10 000 pairs of tumors and matched normal samples. Here, we describe the Tangent method, which uses a unique linear combination of normal samples as a reference for each tumor sample, to subtract systematic errors that vary across samples. We also describe a modification of Tangent, called Pseudo-Tangent, which enables denoising through comparisons between tumor profiles when few normal samples are available. RESULTS Tangent normalization substantially increases signal-to-noise ratios (SNRs) compared to conventional normalization methods in both SNP array and WES analyses. Tangent and Pseudo-Tangent normalizations improve the SNR by reducing noise with minimal effect on signal and exceed the contribution of other steps in the analysis such as choice of segmentation algorithm. Tangent and Pseudo-Tangent are broadly applicable and enable more accurate inference of SCNAs from DNA sequencing and array data. AVAILABILITY AND IMPLEMENTATION Tangent is available at https://github.com/broadinstitute/tangent and as a Docker image (https://hub.docker.com/r/broadinstitute/tangent). Tangent is also the normalization method for the copy-number pipeline in Genome Analysis Toolkit 4 (GATK4). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Galen F Gao
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Coyin Oh
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gordon Saksena
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Davy Deng
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | | | - Barbara A Hill
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael Reich
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Division of Medical Genetics, University of California, San Diego, La, Jolla, CA, USA
| | - Steven E Schumacher
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ashton C Berger
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Scott L Carter
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Matthew Meyerson
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Barbara Tabak
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Rameen Beroukhim
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Gad Getz
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
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24
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Ricciuti B, Alessi JV, Elkrief A, Wang X, Cortellini A, Li YY, Vaz VR, Gupta H, Pecci F, Barrichello A, Lamberti G, Nguyen T, Lindsay J, Sharma B, Felt K, Rodig SJ, Nishino M, Sholl LM, Barbie DA, Negrao MV, Zhang J, Cherniack AD, Heymach JV, Meyerson M, Ambrogio C, Jänne PA, Arbour KC, Pinato DJ, Skoulidis F, Schoenfeld AJ, Awad MM, Luo J. Dissecting the clinicopathologic, genomic, and immunophenotypic correlates of KRAS G12D-mutated non-small-cell lung cancer. Ann Oncol 2022; 33:1029-1040. [PMID: 35872166 PMCID: PMC11006449 DOI: 10.1016/j.annonc.2022.07.005] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 07/10/2022] [Accepted: 07/14/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Allele-specific KRAS inhibitors are an emerging class of cancer therapies. KRAS-mutant (KRASMUT) non-small-cell lung cancers (NSCLCs) exhibit heterogeneous outcomes, driven by differences in underlying biology shaped by co-mutations. In contrast to KRASG12C NSCLC, KRASG12D NSCLC is associated with low/never-smoking status and is largely uncharacterized. PATIENTS AND METHODS Clinicopathologic and genomic information were collected from patients with NSCLCs harboring a KRAS mutation at the Dana-Farber Cancer Institute (DFCI), Memorial Sloan Kettering Cancer Center, MD Anderson Cancer Center, and Imperial College of London. Multiplexed immunofluorescence for CK7, programmed cell death protein 1 (PD-1), programmed death-ligand 1 (PD-L1), Foxp3, and CD8 was carried out on a subset of samples with available tissue at the DFCI. Clinical outcomes to PD-(L)1 inhibition ± chemotherapy were analyzed according to KRAS mutation subtype. RESULTS Of 2327 patients with KRAS-mutated (KRASMUT) NSCLC, 15% (n = 354) harbored KRASG12D. Compared to KRASnon-G12D NSCLC, KRASG12D NSCLC had a lower pack-year (py) smoking history (median 22.5 py versus 30.0 py, P < 0.0001) and was enriched in never smokers (22% versus 5%, P < 0.0001). KRASG12D had lower PD-L1 tumor proportion score (TPS) (median 1% versus 5%, P < 0.01) and lower tumor mutation burden (TMB) compared to KRASnon-G12D (median 8.4 versus 9.9 mt/Mb, P < 0.0001). Of the samples which underwent multiplexed immunofluorescence, KRASG12D had lower intratumoral and total CD8+PD1+ T cells (P < 0.05). Among 850 patients with advanced KRASMUT NSCLC who received PD-(L)1-based therapies, KRASG12D was associated with a worse objective response rate (ORR) (15.8% versus 28.4%, P = 0.03), progression-free survival (PFS) [hazard ratio (HR) 1.51, 95% confidence interval (CI) 1.45-2.00, P = 0.003], and overall survival (OS; HR 1.45, 1.05-1.99, P = 0.02) to PD-(L)1 inhibition alone but not to chemo-immunotherapy combinations [ORR 30.6% versus 35.7%, P = 0.51; PFS HR 1.28 (95%CI 0.92-1.77), P = 0.13; OS HR 1.36 (95%CI 0.95-1.96), P = 0.09] compared to KRASnon-G12D. CONCLUSIONS KRASG12D lung cancers harbor distinct clinical, genomic, and immunologic features compared to other KRAS-mutated lung cancers and worse outcomes to PD-(L)1 blockade. Drug development for KRASG12D lung cancers will have to take these differences into account.
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Affiliation(s)
- B Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - J V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - A Elkrief
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - X Wang
- Harvard School of Public Health, Boston, USA
| | - A Cortellini
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK
| | - Y Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, USA
| | - V R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - H Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - F Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - A Barrichello
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - G Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - T Nguyen
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - J Lindsay
- Knowledge Systems Group, Dana-Farber Cancer Institute, Boston, USA
| | - B Sharma
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, USA
| | - K Felt
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, USA
| | - S J Rodig
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, USA; Department of Pathology, Brigham and Women's Hospital, Boston, USA
| | - M Nishino
- Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, Boston, USA
| | - L M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, USA
| | - D A Barbie
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - M V Negrao
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - J Zhang
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - A D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - J V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - M Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - C Ambrogio
- Molecular Biotechnology and Health Science, University of Turin, Turin, Italy
| | - P A Jänne
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - K C Arbour
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - D J Pinato
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK
| | - F Skoulidis
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - A J Schoenfeld
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - M M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - J Luo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
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Chambwe N, Sayaman RW, Hu D, Huntsman S, Kemal A, Caesar-Johnson S, Zenklusen JC, Ziv E, Beroukhim R, Cherniack AD, Carrot-Zhang J, Berger AC, Han S, Meyerson M, Damrauer JS, Hoadley KA, Felau I, Demchok JA, Mensah MK, Tarnuzzer R, Wang Z, Yang L, Knijnenburg TA, Robertson AG, Yau C, Benz C, Huang KL, Newberg JY, Frampton GM, Mashl RJ, Ding L, Romanel A, Demichelis F, Zhou W, Laird PW, Shen H, Wong CK, Stuart JM, Lazar AJ, Le X, Oak N. Analysis of germline-driven ancestry-associated gene expression in cancers. STAR Protoc 2022; 3:101586. [PMID: 35942349 PMCID: PMC9356164 DOI: 10.1016/j.xpro.2022.101586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Differential mRNA expression between ancestry groups can be explained by both genetic and environmental factors. We outline a computational workflow to determine the extent to which germline genetic variation explains cancer-specific molecular differences across ancestry groups. Using multi-omics datasets from The Cancer Genome Atlas (TCGA), we enumerate ancestry-informative markers colocalized with cancer-type-specific expression quantitative trait loci (e-QTLs) at ancestry-associated genes. This approach is generalizable to other settings with paired germline genotyping and mRNA expression data for a multi-ethnic cohort. For complete details on the use and execution of this protocol, please refer to Carrot-Zhang et al. (2020), Robertson et al. (2021), and Sayaman et al. (2021). Protocol for obtaining controlled access TCGA datasets Protocols for quality control analysis and genotype imputation of TCGA germline data Statistical analysis for determining ancestry-associated SNPs Determination of ancestry-associated germline genetic variation driving mRNA expression
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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26
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Church AJ, Corson LB, Kao PC, Imamovic-Tuco A, Reidy D, Doan D, Kang W, Pinto N, Maese L, Laetsch TW, Kim A, Colace SI, Macy ME, Applebaum MA, Bagatell R, Sabnis AJ, Weiser DA, Glade-Bender JL, Homans AC, Hipps J, Harris H, Manning D, Al-Ibraheemi A, Li Y, Gupta H, Cherniack AD, Lo YC, Strand GR, Lee LA, Pinches RS, Lazo De La Vega L, Harden MV, Lennon NJ, Choi S, Comeau H, Harris MH, Forrest SJ, Clinton CM, Crompton BD, Kamihara J, MacConaill LE, Volchenboum SL, Lindeman NI, Van Allen E, DuBois SG, London WB, Janeway KA. Molecular profiling identifies targeted therapy opportunities in pediatric solid cancer. Nat Med 2022; 28:1581-1589. [PMID: 35739269 PMCID: PMC10953704 DOI: 10.1038/s41591-022-01856-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 05/03/2022] [Indexed: 11/09/2022]
Abstract
To evaluate the clinical impact of molecular tumor profiling (MTP) with targeted sequencing panel tests, pediatric patients with extracranial solid tumors were enrolled in a prospective observational cohort study at 12 institutions. In the 345-patient analytical population, median age at diagnosis was 12 years (range 0-27.5); 298 patients (86%) had 1 or more alterations with potential for impact on care. Genomic alterations with diagnostic, prognostic or therapeutic significance were present in 61, 16 and 65% of patients, respectively. After return of the results, impact on care included 17 patients with a clarified diagnostic classification and 240 patients with an MTP result that could be used to select molecularly targeted therapy matched to identified alterations (MTT). Of the 29 patients who received MTT, 24% had an objective response or experienced durable clinical benefit; all but 1 of these patients received targeted therapy matched to a gene fusion. Of the diagnostic variants identified in 209 patients, 77% were gene fusions. MTP with targeted panel tests that includes fusion detection has a substantial clinical impact for young patients with solid tumors.
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Affiliation(s)
- Alanna J Church
- Boston Children's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Laura B Corson
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Sema4, Stamford, CT, USA
| | | | - Alma Imamovic-Tuco
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Deirdre Reidy
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- University of Connecticut School of Medicine, Farmington, CT, USA
| | - Duong Doan
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- University of Massachusetts Medical School, Worcester, MA, USA
| | | | - Navin Pinto
- Seattle Children's Hospital, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
| | - Luke Maese
- Primary Children's Hospital, Salt Lake City, UT, USA
- University of Utah Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Theodore W Laetsch
- University of Texas Southwestern Medical Center, Dallas, TX, USA
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
- University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - AeRang Kim
- Children's National Hospital, Washington, DC, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Susan I Colace
- Nationwide Children's Hospital, Columbus, OH, USA
- Ohio State University College of Medicine, Columbus, OH, USA
| | - Margaret E Macy
- Children's Hospital of Colorado, Aurora, CO, USA
- University of Colorado School of Medicine, Aurora, CO, USA
| | - Mark A Applebaum
- University of Chicago, Chicago, IL, USA
- Comer Children's Hospital, Chicago, IL, USA
| | - Rochelle Bagatell
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
- University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Amit J Sabnis
- University of California San Francisco Benioff Children's Hospital, San Francisco, CA, USA
| | - Daniel A Weiser
- Children's Hospital at Montefiore, New York, NY, USA
- Albert Einstein College of Medicine, New York, NY, USA
| | - Julia L Glade-Bender
- Columbia University Irving Medical Center, New York, NY, USA
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alan C Homans
- University of Vermont Medical Center, Burlington, VT, USA
- University of Vermont, Burlington, VT, USA
| | - John Hipps
- University of North Carolina Medical Center, Chapel Hill, NC, USA
- University of North Carolina-Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | | | | | - Alyaa Al-Ibraheemi
- Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Yvonne Li
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hersh Gupta
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Andrew D Cherniack
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ying-Chun Lo
- Boston Children's Hospital, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
- Mayo Clinic, Rochester, MN, USA
| | - Gianna R Strand
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Loyola University, Chicago, IL, USA
| | - Lobin A Lee
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - R Seth Pinches
- Boston Children's Hospital, Boston, MA, USA
- Philadelphia College of Osteopathic Medicine, Philadelphia, PA, USA
| | | | | | | | | | - Hannah Comeau
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Marian H Harris
- Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Suzanne J Forrest
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Catherine M Clinton
- Boston Children's Hospital, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Brian D Crompton
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Junne Kamihara
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Laura E MacConaill
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | | | - Neal I Lindeman
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Eliezer Van Allen
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Steven G DuBois
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Wendy B London
- Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Katherine A Janeway
- Harvard Medical School, Boston, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
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27
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Ricciuti B, Wang X, Alessi JV, Rizvi H, Mahadevan NR, Li YY, Polio A, Lindsay J, Umeton R, Sinha R, Vokes NI, Recondo G, Lamberti G, Lawrence M, Vaz VR, Leonardi GC, Plodkowski AJ, Gupta H, Cherniack AD, Tolstorukov MY, Sharma B, Felt KD, Gainor JF, Ravi A, Getz G, Schalper KA, Henick B, Forde P, Anagnostou V, Jänne PA, Van Allen EM, Nishino M, Sholl LM, Christiani DC, Lin X, Rodig SJ, Hellmann MD, Awad MM. Association of High Tumor Mutation Burden in Non-Small Cell Lung Cancers With Increased Immune Infiltration and Improved Clinical Outcomes of PD-L1 Blockade Across PD-L1 Expression Levels. JAMA Oncol 2022; 8:1160-1168. [PMID: 35708671 PMCID: PMC9204620 DOI: 10.1001/jamaoncol.2022.1981] [Citation(s) in RCA: 111] [Impact Index Per Article: 55.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 04/03/2022] [Indexed: 01/16/2023]
Abstract
Importance Although tumor mutation burden (TMB) has been explored as a potential biomarker of immunotherapy efficacy in solid tumors, there still is a lack of consensus about the optimal TMB threshold that best discriminates improved outcomes of immune checkpoint inhibitor therapy among patients with non-small cell lung cancer (NSCLC). Objectives To determine the association between increasing TMB levels and immunotherapy efficacy across clinically relevant programmed death ligand-1 (PD-L1) levels in patients with NSCLC. Design, Setting, and Participants This multicenter cohort study included patients with advanced NSCLC treated with immunotherapy who received programmed cell death-1 (PD-1) or PD-L1 inhibition in the Dana-Farber Cancer Institute (DFCI), Memorial Sloan Kettering Cancer Center (MSKCC), and in the Stand Up To Cancer (SU2C)/Mark Foundation data sets. Clinicopathological and genomic data were collected from patients between September 2013 and September 2020. Data analysis was performed from November 2021 to February 2022. Exposures Treatment with PD-1/PD-L1 inhibition without chemotherapy. Main Outcomes and Measures Association of TMB levels with objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). Results In the entire cohort of 1552 patients with advanced NSCLC who received PD-1/PD-L1 blockade, the median (range) age was 66 (22-92) years, 830 (53.5%) were women, and 1347 (86.8%) had cancer with nonsquamous histologic profile. A regression tree modeling ORR as a function of TMB identified 2 TMB groupings in the discovery cohort (MSKCC), defined as low TMB (≤19.0 mutations per megabase) and high TMB (>19.0 mutations per megabase), which were associated with increasing improvements in ORR, PFS, and OS in the discovery cohort and in 2 independent cohorts (DFCI and SU2C/Mark Foundation). These TMB levels also were associated with significant improvements in outcomes of immunotherapy in each PD-L1 tumor proportion score subgroup of less than 1%, 1% to 49%, and 50% or higher. The ORR to PD-1/PD-L1 inhibition was as high as 57% in patients with high TMB and PD-L1 expression 50% or higher and as low as 8.7% in patients with low TMB and PD-L1 expression less than 1%. Multiplexed immunofluorescence and transcriptomic profiling revealed that high TMB levels were associated with increased CD8-positive, PD-L1-positive T-cell infiltration, increased PD-L1 expression on tumor and immune cells, and upregulation of innate and adaptive immune response signatures. Conclusions and Relevance These findings suggest that increasing TMB levels are associated with immune cell infiltration and an inflammatory T-cell-mediated response, resulting in increased sensitivity to PD-1/PD-L1 blockade in NSCLC across PD-L1 expression subgroups.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Joao V. Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Hira Rizvi
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Navin R. Mahadevan
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Yvonne Y. Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Andrew Polio
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - James Lindsay
- Knowledge Systems Group, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Renato Umeton
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Rileen Sinha
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Natalie I. Vokes
- Department of Thoracic/Head and Neck Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Gonzalo Recondo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Marissa Lawrence
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Victor R. Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Giulia C. Leonardi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Andrew J. Plodkowski
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hersh Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Andrew D. Cherniack
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Michael Y. Tolstorukov
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Bijaya Sharma
- ImmunoProfile, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kristen D. Felt
- ImmunoProfile, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Justin F. Gainor
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston
| | - Arvind Ravi
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Kurt A. Schalper
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Brian Henick
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Patrick Forde
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Valsamo Anagnostou
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Pasi A. Jänne
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Eliezer M. Van Allen
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Lynette M. Sholl
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - David C. Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Scott J. Rodig
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Matthew D. Hellmann
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
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28
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Forrest SJ, Gupta H, Ward A, Li Y, Doan D, Al-Ibraheemi A, Alexandrescu S, Bandopadhayay P, Shusterman S, Mullen EA, Collins N, Chi SN, Wright KD, Kumari P, Mazor T, Ligon KL, Shivdasani P, Davineni P, Manam M, Schilsky RL, Bruinooge SS, Auvil JMG, Cerami E, Rollins BJ, Meyerson ML, Lindeman NI, MacConaill L, Johnson BE, Cherniack AD, Church AJ, Janeway KA. Abstract 3890: Sequencing of 888 pediatric solid tumors informs precision oncology trial design and data sharing initiatives in pediatric cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Pediatric pan-cancer genome analyses do not capture the full range of diagnoses encountered in clinical practice. To inform basket trial design and real-world precision oncology practice, we classified diagnoses and assessed the landscape of mutations, including trial-matching, in an unselected cohort of pediatric solid tumors.
Since 2013 all Dana-Farber/Boston Children’s patients have been offered participation in the Profile study. Participant tumor samples were sequenced with DFCI-OncoPanel, a targeted panel test sequencing exons of up to 447 cancer genes for single nucleotide variants, insertions and deletions and copy number alterations, and introns and exons of up to 60 genes for rearrangements. Patient diagnosis was classified according to ICD-O, version 3.2. Genomic alterations were analyzed for matching to the actionable mutation lists of precision oncology basket trials (NCI-COG Pediatric MATCH, NCI-MATCH, and the ASCO TAPUR Study v.3). Data will be shared with the Childhood Cancer Data Initiative.
There were 888 pediatric patients with sequencing enrolled in Profile between January 2013 and March 2019; 512 (58%) with solid tumors and 376 (42%) with CNS tumors. Fifty-five percent (491/888) of patients had one of ten common pediatric cancer diagnoses: neuroblastoma (n=80), low-grade glioma (n=72), Wilms tumor (n=57), medulloblastoma (n=55), pilocytic astrocytoma (n=47), rhabdomyosarcoma (n=44), osteosarcoma (n=42), ependymoma (n=39), Ewing sarcoma (n=28) and glioblastoma (n=27). The remaining 45% (397/888) had one of 85 distinct rare malignancies with less than 25 cases per diagnosis. Most (80/85) of these rare diagnoses are not represented in prior pediatric pan-cancer sequencing studies. Recurrent (>5%) pathogenic alterations were, in common and rare diagnoses, TP53 mutations(m) and deletions(del) and BRAFm and rearrangements(r), in common diagnoses, MYC/MYCN amplification (amp) and EWSR1r and, in rare diagnoses, CTNNB1m, CDKN2A/Bdel and NF1m/del. We found that 31% (n=271/888) of patients had at least 1 variant matching a basket trial treatment arm. Genes with matching alterations include BRAF (10%), NF1 (4%), PI3KCA (3%), NRAS (2%), BRCA2 (2%), ALK (1%), and FGFR1 (1%).
Sequencing of pediatric malignancies is increasing. This study highlights opportunities to use the resulting genomic data to inform genome-selected clinical trial design and uncover drivers in pediatric cancers. The proportion of cases in this cohort with genomic alterations meeting eligibility for basket trials is equivalent to that seen in the pediatric MATCH screening study. Due to the low prevalence of the diagnoses in the long tail of cancer types in this study, defining the genomic landscape of ultra-rare cancers will require data sharing. Classifying pediatric cancer diagnoses using the ICD-O standard ontology system is feasible and will facilitate data sharing.
Citation Format: Suzanne J. Forrest, Hersh Gupta, Abigail Ward, Yvonne Li, Duong Doan, Alyaa Al-Ibraheemi, Sanda Alexandrescu, Pratiti Bandopadhayay, Suzanne Shusterman, Elizabeth A. Mullen, Natalie Collins, Susan N. Chi, Karen D. Wright, Priti Kumari, Tali Mazor, Keith L. Ligon, Priyanka Shivdasani, Phani Davineni, Monica Manam, Richard L. Schilsky, Suanna S. Bruinooge, Jaime M. Guidry Auvil, Ethan Cerami, Barrett J. Rollins, Matthew L. Meyerson, Neal I. Lindeman, Laura MacConaill, Bruce E. Johnson, Andrew D. Cherniack, Alanna J. Church, Katherine A. Janeway. Sequencing of 888 pediatric solid tumors informs precision oncology trial design and data sharing initiatives in pediatric cancer [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 3890.
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Affiliation(s)
- Suzanne J. Forrest
- 1Dana-Farber/Boston Children’s Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA
| | - Hersh Gupta
- 2Dana-Farber Cancer Institute and Broad Institute of Harvard and MIT, Boston, MA
| | - Abigail Ward
- 3Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Boston, MA
| | - Yvonne Li
- 2Dana-Farber Cancer Institute and Broad Institute of Harvard and MIT, Boston, MA
| | - Duong Doan
- 3Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Boston, MA
| | | | | | - Pratiti Bandopadhayay
- 5Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Harvard Medical School and Broad Institute of Harvard and MIT, Boston, MA
| | - Suzanne Shusterman
- 1Dana-Farber/Boston Children’s Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA
| | - Elizabeth A. Mullen
- 1Dana-Farber/Boston Children’s Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA
| | - Natalie Collins
- 1Dana-Farber/Boston Children’s Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA
| | - Susan N. Chi
- 1Dana-Farber/Boston Children’s Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA
| | - Karen D. Wright
- 1Dana-Farber/Boston Children’s Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA
| | | | - Tali Mazor
- 6Dana-Farber Cancer Institute, Boston, MA
| | - Keith L. Ligon
- 7Dana-Farber Cancer Institute, Brigham & Women’s Hospital, Boston Children's Hospital and Harvard Medical School, Boston, MA
| | | | | | | | | | | | | | | | - Barrett J. Rollins
- 11Dana-Farber Cancer Institute, Brigham & Women’s Hospital, and Harvard Medical School, Boston, MA
| | - Matthew L. Meyerson
- 12Dana-Farber Cancer Institute, Brigham & Women’s Hospital, Harvard Medical School, and Broad Institute of Harvard and MIT, Boston, MA
| | - Neal I. Lindeman
- 13Dana-Farber Cancer Institute, Brigham & Women's Hospital and Harvard Medical School, Boston, MA
| | - Laura MacConaill
- 13Dana-Farber Cancer Institute, Brigham & Women's Hospital and Harvard Medical School, Boston, MA
| | - Bruce E. Johnson
- 11Dana-Farber Cancer Institute, Brigham & Women’s Hospital, and Harvard Medical School, Boston, MA
| | - Andrew D. Cherniack
- 2Dana-Farber Cancer Institute and Broad Institute of Harvard and MIT, Boston, MA
| | - Alanna J. Church
- 4Boston Children's Hospital and Harvard Medical School, Boston, MA
| | - Katherine A. Janeway
- 1Dana-Farber/Boston Children’s Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA
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Lee S, Hoyt S, Wu X, Garvie C, McGaunn J, Cherniack AD, Meyerson M, Greulich H. Abstract 867: Velcrin-induced cleavage of tRNA-Leu-TAA by SLFN12 RNase causes cancer cell death. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Velcrins are small molecules that induce apoptosis of cancer cells expressing high levels of phosphodiesterase 3A (PDE3A) and schlafen family member 12 (SLFN12) by inducing PDE3A-SLFN12 complex formation. Recently, we found that SLFN12 is an RNase and PDE3A binding dramatically activates SLFN12 RNase activity, resulting in velcrin-mediated apoptosis. However, the mechanism of cancer cell death by the PDE3A-SLFN12 complex is poorly understood. In this study, we found that SLFN12 specifically recognizes tRNA-Leu-TAA and induces its cleavage in velcrin-sensitive cell lines. According to tRNA-sequencing, tRNA-Leu-TAA isodecoders decreases by 2-fold to 5-fold in Hela cells treated with DNMDP compared to DMSO control, while other tRNAs are not differentially expressed. Down-regulation of tRNA-Leu-TAA by velcrin treatment is observed only in velcrin-sensitive cell lines but not insensitive cell lines. Furthermore, we tested whether SLFN12 digests tRNA-Leu-TAA in vitro. Purified wild-type SLFN12 cleaves tRNA-Leu-TAA but not heat-denatured or catalytically inactive SLFN12. Even though tRNA-Leu-TAA is weakly digested by low concentrations of SLFN12, co-incubation with purified PDE3A increases SLFN12 RNase activity, which is even further upregulated by velcrin treatment. To verify specificity for tRNA-Leu-TAA, we assessed activity of SLFN12 against a panel of in vitro transcribed tRNAs. We found that purified SLFN12 is significantly more efficient at degrading tRNA-Leu-TAA when compared with tRNA-Leu-TAG or tRNAs for other amino acids. Digestion of tRNA-leu-TAA by SLFN12 could inhibit mRNA translation due to the delivery of leucine amino acid to elongating ribosomes. To test this hypothesis, we designed the mutant tRNA-Leu-[CAG:TAA] in which the anticodon of tRNA-Leu-CAG was replaced by TAA anticodon. Ectopic expression of wild-type tRNA-Leu-TAA or tRNA-Leu-CAG has no effect on viability of DNMDP-treated cells, whereas expression of tRNA-Leu-[CAG:TAA] genes partially rescues the cells from DNMDP-induced cytotoxicity. These data confirm that impaired leucine delivery is responsible at least in part for the observed effects of DNMDP treatment.
Citation Format: Sooncheol Lee, Stephanie Hoyt, Xiaoyun Wu, Colin Garvie, Joseph McGaunn, Andrew D. Cherniack, Matthew Meyerson, Heidi Greulich. Velcrin-induced cleavage of tRNA-Leu-TAA by SLFN12 RNase causes cancer cell death [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 867.
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Affiliation(s)
| | | | - Xiaoyun Wu
- 1Broad Institute of MIT and Harvard, Boston, MA
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Ricciuti B, Alessi JVM, Li YY, Vaz VR, Pecci F, Lamberti G, Barrichello APDC, Gupta H, Nishino M, Cherniack AD, Sholl LM, Rodig SJ, Awad MM. Genomic correlates of acquired resistance to PD-(L)1 blockade in patients with advanced non-small cell lung cancer (NSCLC). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.9021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9021 Background: Despite improvements in survival with immune checkpoint inhibition (ICI), the majority of patients develop acquired resistance to ICI after an initial benefit. However, the mechanisms underlying acquired resistance to ICI in NSCLC are largely unknown. Methods: Patients with advanced NSCLC treated with ICI at the Dana-Farber Cancer Institute (DFCI), and whose tumors underwent genomic profiling before and after ICI, with no intervening therapies, were included. Mutations, tumor mutational burden (TMB), copy number variations (CNVs), and PD-L1 tumor proportion score (TPS) were compared between pre- and post-ICI samples. Acquired resistance was defined as the development of disease progression after an initial objective response, or stable disease ≥3 months with PD-(L)1 blockade. Results: Among 1763 patients with advanced NSCLC who received ICI, 45 had matched pre- and post-ICI tissue samples available for genomic profiling. Putative mechanisms of resistance were identified in 55% of cases (N = 25). Five patients (20%) acquired an STK11 mutation, one patient (4%) acquired a KEAP1 mutation, and another patient (4%) developed concurrent KEAP1 and SMARCA4 mutations. A patient (4%) with KRAS G12C-mutant NSCLC developed concurrent STK11 and KEAP1 mutations at resistance. In 3 cases (12%) with pre-existing STK11 or KEAP1 mutations prior to ICI administration, we identified acquired copy losses of STK11 and KEAP1, respectively, resulting in bi-allelic inactivation of these genes. Acquired beta-2-microglobulin ( B2M) mutations were detected in 3 patients (12%), one of whom developed concurrent B2M copy loss, indicating bi-allelic inactivation. Eight additional patients (32%) developed B2M gene deletions. Other acquired alterations that have been implicated in ICI resistance included CDKN2A/B loss (N = 10, 40%), including 5 with bi-allelic deletion, acquired PTEN deletions (N = 5, 20%), and MDM2 amplification (N = 2, 8%). When we examined alterations in immune checkpoint genes, we identified acquired CD274 (PD-L1) and PDCD1LG2 (PD-L2) loss in 8% of cases (N = 2), and bi-allelic deletion in one case (4%). Intervening ICI did not affect TMB (median TMB: 8.7 [pre-ICI] vs 9.1 [post-ICI] mut/Mb, P = 0.6), PD-L1 expression (median PD-L1 TPS: 3% [pre-ICI] vs 5.0% [post-ICI] mut/Mb, P = 0.5), or aneuploidy levels (as fraction of genome altered [FGA]) (median FGA: 18.4% [pre-ICI] vs 21.1% [post-ICI], P = 0.2), indicating that acquired gene level CNVs were not a reflection of increased cancer aneuploidy. In a control cohort of 30 patients with pre- and post-chemotherapy matched samples which underwent genomic profiling, no acquired mutations in STK11, KEAP1, SMARCA4, or B2M were detected. Conclusions: Mechanisms of acquired resistance to PD-(L)1 blockade are heterogenous, and new therapeutic strategies are required to delay and overcome ICI resistance in patients with NSCLC.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Yvonne Y. Li
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Victor R. Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Federica Pecci
- Lowe Center For Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Hersh Gupta
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
| | | | - Lynette M. Sholl
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Scott J. Rodig
- Department of Pathology and Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
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Ricciuti B, Arbour KC, Lin JJ, Vajdi A, Vokes N, Hong L, Zhang J, Tolstorukov MY, Li YY, Spurr LF, Cherniack AD, Recondo G, Lamberti G, Wang X, Venkatraman D, Alessi JV, Vaz VR, Rizvi H, Egger J, Plodkowski AJ, Khosrowjerdi S, Digumarthy S, Park H, Vaz N, Nishino M, Sholl LM, Barbie D, Altan M, Heymach JV, Skoulidis F, Gainor JF, Hellmann MD, Awad MM. Diminished Efficacy of Programmed Death-(Ligand)1 Inhibition in STK11- and KEAP1-Mutant Lung Adenocarcinoma Is Affected by KRAS Mutation Status. J Thorac Oncol 2022; 17:399-410. [PMID: 34740862 PMCID: PMC10980559 DOI: 10.1016/j.jtho.2021.10.013] [Citation(s) in RCA: 126] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/15/2021] [Accepted: 10/21/2021] [Indexed: 11/26/2022]
Abstract
INTRODUCTION STK11 and KEAP1 mutations (STK11 mutant [STK11MUT] and KEAP1MUT) are among the most often mutated genes in lung adenocarcinoma (LUAD). Although STK11MUT has been associated with resistance to programmed death-(ligand)1 (PD-[L]1) inhibition in KRASMUT LUAD, its impact on immunotherapy efficacy in KRAS wild-type (KRASWT) LUAD is currently unknown. Whether KEAP1MUT differentially affects outcomes to PD-(L)1 inhibition in KRASMUT and KRASWT LUAD is also unknown. METHODS Clinicopathologic and genomic data were collected from September 2013 to September 2020 from patients with advanced LUAD at the Dana-Farber Cancer Institute/Massachusetts General Hospital cohort and the Memorial Sloan Kettering Cancer Center/MD Anderson Cancer Center cohort. Clinical outcomes to PD-(L)1 inhibition were analyzed according to KRAS, STK11, and KEAP1 mutation status in two independent cohorts. The Cancer Genome Atlas transcriptomic data were interrogated to identify differences in tumor gene expression and tumor immune cell subsets, respectively, according to KRAS/STK11 and KRAS/KEAP1 comutation status. RESULTS In the combined cohort (Dana-Farber Cancer Institute/Massachusetts General Hospital + Memorial Sloan Kettering Cancer Center/MD Anderson Cancer Center) of 1261 patients (median age = 61 y [range: 22-92], 708 women [56.1%], 1065 smokers [84.4%]), KRAS mutations were detected in 536 cases (42.5%), and deleterious STK11 and KEAP1 mutations were found in 20.6% (260 of 1261) and 19.2% (231 of 1202) of assessable cases, respectively. In each independent cohort and in the combined cohort, STK11 and KEAP1 mutations were associated with significantly worse progression-free (STK11 hazard ratio [HR] = 2.04, p < 0.0001; KEAP1 HR = 2.05, p < 0.0001) and overall (STK11 HR = 2.09, p < 0.0001; KEAP1 HR = 2.24, p < 0.0001) survival to immunotherapy uniquely among KRASMUT but not KRASWT LUADs. Gene expression ontology and immune cell enrichment analyses revealed that the presence of STK11 or KEAP1 mutations results in distinct immunophenotypes in KRASMUT, but not in KRASWT, lung cancers. CONCLUSIONS STK11 and KEAP1 mutations confer worse outcomes to immunotherapy among patients with KRASMUT but not among KRASWT LUAD. Tumors harboring concurrent KRAS/STK11 and KRAS/KEAP1 mutations display distinct immune profiles in terms of gene expression and immune cell infiltration.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kathryn C Arbour
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jessica J Lin
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Amir Vajdi
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Natalie Vokes
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Lingzhi Hong
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Michael Y Tolstorukov
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Yvonne Y Li
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Liam F Spurr
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Andrew D Cherniack
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Gonzalo Recondo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xinan Wang
- Harvard Graduate School of Arts and Sciences, Harvard University, Cambridge, Massachusetts; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Deepti Venkatraman
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Victor R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hira Rizvi
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jacklynn Egger
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Andrew J Plodkowski
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sara Khosrowjerdi
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Subba Digumarthy
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Hyesun Park
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Nuno Vaz
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - David Barbie
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mehmet Altan
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ferdinandos Skoulidis
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Justin F Gainor
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Matthew D Hellmann
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
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Carrot-Zhang J, Han S, Zhou W, Damrauer JS, Kemal A, Cherniack AD, Beroukhim R. Analytical protocol to identify local ancestry-associated molecular features in cancer. STAR Protoc 2021; 2:100766. [PMID: 34585150 PMCID: PMC8456058 DOI: 10.1016/j.xpro.2021.100766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
People of different ancestries vary in cancer risk and outcome, and their molecular differences may indicate sources of these variations. Determining the "local" ancestry composition at each genetic locus across ancestry-admixed populations can suggest causal associations. We present a protocol to identify local ancestry and detect the associated molecular changes, using data from the Cancer Genome Atlas. This workflow can be applied to cancer cohorts with matched tumor and normal data from admixed patients to examine germline contributions to cancer. For complete details on the use and execution of this protocol, please refer to Carrot-Zhang et al. (2020).
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Affiliation(s)
- Jian Carrot-Zhang
- The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Seunghun Han
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Wanding Zhou
- Center for Computational and Genomic Medicine, Children’s Hospital of Philadelphia, PA, 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jeffrey S. Damrauer
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Anab Kemal
- National Cancer Institute, Bethesda, MD 20892, USA
| | - Andrew D. Cherniack
- The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Rameen Beroukhim
- The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
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Raghavan S, Winter PS, Navia AW, Williams HL, DenAdel A, Lowder KE, Galvez-Reyes J, Kalekar RL, Mulugeta N, Kapner KS, Raghavan MS, Borah AA, Liu N, Väyrynen SA, Costa AD, Ng RW, Wang J, Hill EK, Ragon DY, Brais LK, Jaeger AM, Spurr LF, Li YY, Cherniack AD, Booker MA, Cohen EF, Tolstorukov MY, Wakiro I, Rotem A, Johnson BE, McFarland JM, Sicinska ET, Jacks TE, Sullivan RJ, Shapiro GI, Clancy TE, Perez K, Rubinson DA, Ng K, Cleary JM, Crawford L, Manalis SR, Nowak JA, Wolpin BM, Hahn WC, Aguirre AJ, Shalek AK. Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer. Cell 2021; 184:6119-6137.e26. [PMID: 34890551 PMCID: PMC8822455 DOI: 10.1016/j.cell.2021.11.017] [Citation(s) in RCA: 165] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 09/24/2021] [Accepted: 11/11/2021] [Indexed: 01/13/2023]
Abstract
Prognostically relevant RNA expression states exist in pancreatic ductal adenocarcinoma (PDAC), but our understanding of their drivers, stability, and relationship to therapeutic response is limited. To examine these attributes systematically, we profiled metastatic biopsies and matched organoid models at single-cell resolution. In vivo, we identify a new intermediate PDAC transcriptional cell state and uncover distinct site- and state-specific tumor microenvironments (TMEs). Benchmarking models against this reference map, we reveal strong culture-specific biases in cancer cell transcriptional state representation driven by altered TME signals. We restore expression state heterogeneity by adding back in vivo-relevant factors and show plasticity in culture models. Further, we prove that non-genetic modulation of cell state can strongly influence drug responses, uncovering state-specific vulnerabilities. This work provides a broadly applicable framework for aligning cell states across in vivo and ex vivo settings, identifying drivers of transcriptional plasticity and manipulating cell state to target associated vulnerabilities.
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Affiliation(s)
- Srivatsan Raghavan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA,These authors contributed equally
| | - Peter S. Winter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,These authors contributed equally,Correspondence: (P.S.W.), (A.J.A.), (A.K.S.)
| | - Andrew W. Navia
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,These authors contributed equally
| | - Hannah L. Williams
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA,These authors contributed equally
| | - Alan DenAdel
- Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA,Division of Applied Mathematics, Brown University, Providence, RI 02912, USA
| | - Kristen E. Lowder
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jennyfer Galvez-Reyes
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Radha L. Kalekar
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Nolawit Mulugeta
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Kevin S. Kapner
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Manisha S. Raghavan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ashir A. Borah
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Nuo Liu
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Sara A. Väyrynen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA
| | - Andressa Dias Costa
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA
| | - Raymond W.S. Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Junning Wang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Emma K. Hill
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Dorisanne Y. Ragon
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Lauren K. Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Alex M. Jaeger
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Liam F. Spurr
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Yvonne Y. Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Andrew D. Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Harvard Medical School, Boston, MA 02115, USA
| | - Matthew A. Booker
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Elizabeth F. Cohen
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Michael Y. Tolstorukov
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Isaac Wakiro
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Asaf Rotem
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Center for Cancer Genomics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Bruce E. Johnson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA,Center for Cancer Genomics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Ewa T. Sicinska
- Harvard Medical School, Boston, MA 02115, USA,Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Tyler E. Jacks
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ryan J. Sullivan
- Harvard Medical School, Boston, MA 02115, USA,Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA
| | - Geoffrey I. Shapiro
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Thomas E. Clancy
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Surgery, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Kimberly Perez
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Douglas A. Rubinson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - James M. Cleary
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Lorin Crawford
- Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA,Department of Biostatistics, Brown University, Providence, RI 02912, USA,Microsoft Research New England, Cambridge, MA 02142, USA
| | - Scott R. Manalis
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Jonathan A. Nowak
- Harvard Medical School, Boston, MA 02115, USA,Center for Cancer Genomics, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Department of Pathology, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Brian M. Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA,These authors contributed equally,Senior author
| | - William C. Hahn
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA,These authors contributed equally,Senior author
| | - Andrew J. Aguirre
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Harvard Medical School, Boston, MA 02115, USA,Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA,These authors contributed equally,Senior author,Correspondence: (P.S.W.), (A.J.A.), (A.K.S.)
| | - Alex K. Shalek
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Harvard Medical School, Boston, MA 02115, USA,Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA,These authors contributed equally,Senior author,Lead contact,Correspondence: (P.S.W.), (A.J.A.), (A.K.S.)
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Liu Y, Wu Z, Zhou J, Ramadurai DKA, Mortenson KL, Aguilera-Jimenez E, Yan Y, Yang X, Taylor AM, Varley KE, Gertz J, Choi PS, Cherniack AD, Chen X, Bass AJ, Bailey SD, Zhang X. A predominant enhancer co-amplified with the SOX2 oncogene is necessary and sufficient for its expression in squamous cancer. Nat Commun 2021; 12:7139. [PMID: 34880227 PMCID: PMC8654995 DOI: 10.1038/s41467-021-27055-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 11/01/2021] [Indexed: 02/05/2023] Open
Abstract
Amplification and overexpression of the SOX2 oncogene represent a hallmark of squamous cancers originating from diverse tissue types. Here, we find that squamous cancers selectively amplify a 3' noncoding region together with SOX2, which harbors squamous cancer-specific chromatin accessible regions. We identify a single enhancer e1 that predominantly drives SOX2 expression. Repression of e1 in SOX2-high cells causes collapse of the surrounding enhancers, remarkable reduction in SOX2 expression, and a global transcriptional change reminiscent of SOX2 knockout. The e1 enhancer is driven by a combination of transcription factors including SOX2 itself and the AP-1 complex, which facilitates recruitment of the co-activator BRD4. CRISPR-mediated activation of e1 in SOX2-low cells is sufficient to rebuild the e1-SOX2 loop and activate SOX2 expression. Our study shows that squamous cancers selectively amplify a predominant enhancer to drive SOX2 overexpression, uncovering functional links among enhancer activation, chromatin looping, and lineage-specific copy number amplifications of oncogenes.
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Affiliation(s)
- Yanli Liu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- College of Animal Science and Technology, Northwest Agriculture and Forestry University, Yangling, Shanxi, China
| | - Zhong Wu
- Department of Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Jin Zhou
- Department of Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Dinesh K A Ramadurai
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Katelyn L Mortenson
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Estrella Aguilera-Jimenez
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Yifei Yan
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Departments of Surgery and Human Genetics, McGill University, Montreal, QC, Canada
| | - Xiaojun Yang
- College of Animal Science and Technology, Northwest Agriculture and Forestry University, Yangling, Shanxi, China
| | - Alison M Taylor
- Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Katherine E Varley
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Jason Gertz
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Peter S Choi
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China
| | - Adam J Bass
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Swneke D Bailey
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
- Departments of Surgery and Human Genetics, McGill University, Montreal, QC, Canada.
| | - Xiaoyang Zhang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
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35
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Gurjao C, Zhong R, Haruki K, Li YY, Spurr LF, Lee-Six H, Reardon B, Ugai T, Zhang X, Cherniack AD, Song M, Van Allen EM, Meyerhardt JA, Nowak JA, Giovannucci EL, Fuchs CS, Wu K, Ogino S, Giannakis M. Discovery and Features of an Alkylating Signature in Colorectal Cancer. Cancer Discov 2021; 11:2446-2455. [PMID: 34140290 PMCID: PMC8487940 DOI: 10.1158/2159-8290.cd-20-1656] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/03/2021] [Accepted: 05/27/2021] [Indexed: 11/16/2022]
Abstract
Several risk factors have been established for colorectal cancer, yet their direct mutagenic effects in patients' tumors remain to be elucidated. Here, we leveraged whole-exome sequencing data from 900 colorectal cancer cases that had occurred in three U.S.-wide prospective studies with extensive dietary and lifestyle information. We found an alkylating signature that was previously undescribed in colorectal cancer and then showed the existence of a similar mutational process in normal colonic crypts. This alkylating signature is associated with high intakes of processed and unprocessed red meat prior to diagnosis. In addition, this signature was more abundant in the distal colorectum, predicted to target cancer driver mutations KRAS p.G12D, KRAS p.G13D, and PIK3CA p.E545K, and associated with poor survival. Together, these results link for the first time a colorectal mutational signature to a component of diet and further implicate the role of red meat in colorectal cancer initiation and progression. SIGNIFICANCE: Colorectal cancer has several lifestyle risk factors, but the underlying mutations for most have not been observed directly in tumors. Analysis of 900 colorectal cancers with whole-exome sequencing and epidemiologic annotations revealed an alkylating mutational signature that was associated with red meat consumption and distal tumor location, as well as predicted to target KRAS p.G12D/p.G13D.This article is highlighted in the In This Issue feature, p. 2355.
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Affiliation(s)
- Carino Gurjao
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Rong Zhong
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Koichiro Haruki
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Liam F Spurr
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Pritzker School of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois
| | | | - Brendan Reardon
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Tomotaka Ugai
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Jonathan A Nowak
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Charles S Fuchs
- Yale Cancer Center, Yale School of Medicine, Smilow Cancer Hospital, New Haven, Connecticut
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Shuji Ogino
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
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Alessi JV, Ricciuti B, Spurr LF, Gupta H, Li YY, Glass C, Nishino M, Cherniack AD, Lindsay J, Sharma B, Felt KD, Rodig SJ, Cheng ML, Sholl LM, Awad MM. SMARCA4 and Other SWItch/Sucrose NonFermentable Family Genomic Alterations in NSCLC: Clinicopathologic Characteristics and Outcomes to Immune Checkpoint Inhibition. J Thorac Oncol 2021; 16:1176-1187. [PMID: 33845210 DOI: 10.1016/j.jtho.2021.03.024] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 03/17/2021] [Accepted: 03/21/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION The SWItch/Sucrose Nonfermentable (SWI/SNF) chromatin remodeling complex acts as a regulatory component of transcription, and inactivating mutations (muts) within the complex are implicated in genomic instability, higher tumor mutational burden, and an aggressive cancer phenotype. Whether SMARCA4 and other SWI/SNF alterations are independent prognostic factors or associated with clinical outcomes to immune checkpoint inhibitors (ICIs) in NSCLC remains unclear. METHODS We collected clinicopathologic and genomic data from patients with NSCLC who underwent targeted next-generation sequencing at the Dana-Farber Cancer Institute. Tumors were characterized on the basis of the presence or absence of muts across a set of six SWI/SNF genes (ARID1A, ARID1B, ARID2, PBRM1, SMARCA4, and SMARCB1). RESULTS Of 2689 patients with NSCLC, 20.6% (N = 555) had SWI/SNF genomic alterations. Compared with SWI/SNF wild-type (wt) NSCLC, patients with SWI/SNF-mutant NSCLCs had a lower prevalence of concurrent targetable driver muts (33.2% versus 22.2%; p < 0.001), a higher tumor mutational burden (median 8.5 versus 12.2 muts/megabase; p < 0.001), and a shorter median overall survival (mOS) from the time of advanced disease diagnosis (25.0 versus 19.3 mo, p = 0.01); the detrimental effect in OS seemed to be largely driven by SMARCA4 muts (mOS: 25.0 for SMARCA4 wt versus 15.6 mo for SMARCA4 mutant; p < 0.001). Among 532 patients who received ICIs, 25.5% (N = 136) harbored SWI/SNF muts. From the start of immunotherapy, there was no difference in objective response rate (ORR = 19.9% versus 25.0%, p = 0.2), median progression-free survival (mPFS = 3.0 versus 3.0 mo, hazard ratio [HR] = 0.96 [95% confidence interval [CI] = 0.77-1.18], p = 0.7), or mOS (13.1 versus 9.5 mo, HR = 0.81 [95% CI: 0.64-1.02], p = 0.07) in SWI/SNF-wt versus SWI/SNF-mutant NSCLC, respectively. Nevertheless, among KRAS-mutant NSCLCs treated with ICIs (N = 176), a concurrent SWI/SNF mut (N = 39) conferred a numerically lower ORR (21.9% versus 12.8%, p = 0.2), a significantly shorter mPFS (4.1 versus 1.8 mo, HR = 0.57 [95% CI: 0.38-0.84], p = 0.005), and a significantly shorter mOS (15.5 versus 8.2 mo, HR = 0.56 [95% CI: 0.36-0.86], p = 0.008). The deleterious effect on immunotherapy outcomes in KRAS-mutant NSCLC was most pronounced in the SMARCA4-mutant subset (N = 17), with a lower ORR (22% versus 0%, p = 0.03), a significantly shorter mPFS (4.1 versus 1.4 mo, HR = 0.25 [95% CI: 0.14-0.42], p < 0.001), and a significantly shorter mOS (15.1 versus 3.0 mo, HR = 0.29 [95% CI: 0.17-0.50], p < 0.001) compared with SMARCA4-wt KRAS-mutant NSCLCs. CONCLUSIONS Although there were no associations between SWI/SNF mut status and immunotherapy efficacy in the overall NSCLC cohort, the presence of a SMARCA4 alteration may confer a worse outcome to immunotherapy among KRAS-mutant NSCLCs.
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Affiliation(s)
- Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Liam F Spurr
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Pritzker School of Medicine, Biological Sciences Division, The University of Chicago, Chicago, Illinois
| | - Hersh Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Carolyn Glass
- Department of Pathology, Duke University Hospital, Durham, North Carolina
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - James Lindsay
- Knowledge Systems Group, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Bijaya Sharma
- ImmunoProfile, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kristen D Felt
- ImmunoProfile, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Scott J Rodig
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts; Center for Immuno-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Michael L Cheng
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
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Neggers JE, Paolella B, Asfaw A, Rothberg MV, Skipper TA, Kalekar R, Burger M, Dharia N, Kugener G, Kalfon J, Dumont N, Li Y, Spurr L, Yang A, Wu W, Durbin A, Wolpin BM, Root DE, Boehm J, Cherniack AD, Tsherniak A, Hong AL, Hahn WC, Stegmaier K, Golub T, Vazquez F, Aguirre AJ. Abstract NG01: Synthetic lethal interaction between the ESCRT paralog enzymes VPS4A and VPS4B in cancers harboring loss of chromosome 18q or 16q. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-ng01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Discovery of new biomarker-linked cancer therapeutic targets may enable novel drug development and ultimately lead to advances in clinical care. Somatic copy number alterations (CNAs) leading to loss of tumor suppressor gene function constitute important driver events in tumorigenesis. Unfortunately, there are few existing therapeutic options to target the oncogenic processes evoked by tumor suppressor inactivation. However, developing drugs that target tractable synthetic lethal interactions with common somatic CNAs represents a promising approach to attain cancer-selective therapeutics. Synthetic lethality refers to the observation that for certain gene pairs, inactivation of either gene is tolerated but combined loss-of-function of both genes results in decreased cell viability. Synthetic lethal relationships in cancer have been defined in several different contexts, including among paralog genes for which dependency on one paralog is conferred by loss of a second functionally redundant paralog gene. Since targeting synthetic lethal relationships in cancer may yield a wide therapeutic window of efficacy between tumor and normal cells, identification of pharmacologically tractable synthetic lethal targets remains a priority for oncology drug development programs. Results and Discussion: To systematically define synthetic lethal vulnerabilities associated with genomic loss of established tumor suppressor genes, we analyzed genome-scale CRISPR-SpCas9 and RNA interference loss-of-function screening data from over 600 cancer cell lines. We identified and prioritized 193 synthetic lethal interactions with genomic loss of one or more of 51 common tumor suppressor genes. In particular, we discovered that the paralog genes encoding vacuolar protein sorting 4 homolog A and B (VPS4A and VPS4B) are selective genetic vulnerabilities for tumors harboring genomic copy loss of SMAD4 or CDH1 due to co-deletion of VPS4B or VPS4A, respectively. VPS4B is located on the long arm (q) of chromosome 18, 12.3 Mb away from SMAD4, while VPS4A is located 0.476 Mb downstream of CDH1 (encoding E-cadherin) on chromosome 16q. Thus, cancer cells with genomic loss of VPS4B selectively depend on expression of VPS4A for survival, and tumors with loss of VPS4A depend on VPS4B expression. Co-deletion of SMAD4 and VPS4B is commonly observed in approximately 33% of human cancer, with particularly high rates of loss in pancreatic cancers (68%), colorectal (71%) and renal cell carcinomas (17%) and to a lesser extent in cancers of the bile duct, lung, prostate, esophagus, uterus, cervix and ovary. Meanwhile, loss of CDH1 and VPS4A occurs frequently in cancers of the stomach, breast, skin, colon and prostate. VPS4A and B function as AAA ATPases which are critical for the regulation of endosomal sorting complex required for transport (ESCRT), a multimeric protein complex essential for inverse membrane remodeling. The ESCRT machinery is involved in a range of cellular processes, including cytokinesis, membrane repair, autophagy and endosomal processing. VPS4A/B are believed to form asymmetric hexameric complexes that are recruited to ESCRT-III filaments to drive ESCRT-mediated membrane fission and sealing. Here, we demonstrate that suppression of VPS4A in cancer cells with reduced copy number of VPS4B leads to accumulation of CHMP4B-containing ESCRT-III filaments, cytokinesis defects, nuclear membrane abnormalities and micronucleation, ultimately resulting in G2/M cell cycle arrest and apoptosis. We also observed that VPS4 suppression leads to defects in endosomal and endoplasmic reticulum structure. Furthermore, upon VPS4A suppression, we observed potent in vivo tumor regressions, which led to markedly prolonged survival in mouse xenograft models of pancreatic cancer and rhabdomyosarcoma harboring genomic loss of VPS4B. To understand regulators of VPS4A dependency, we performed a CRISPR-SpCas9 genome-scale screen in a pancreatic cancer cell line in the context of VPS4A suppression. We identified multiple genes that promote or suppress VPS4A dependency. Cancer cell sensitivity to VPS4A suppression was potently enhanced by disruption of regulators of the abscission checkpoint, including genes encoding the ULK3 kinase and the ESCRT-III proteins CHMP1A and CHMP1B. The abscission checkpoint is a genome protection mechanism that relies on Aurora B kinase (AURKB) and ESCRT-III subunits to delay abscission in response to chromosome mis-segregation to avoid DNA damage and aneuploidy. These findings suggest that inhibition of the ESCRT pathway and blockade of the abscission checkpoint could provide strategies to further enhance sensitivity of cancer cells to VPS4A suppression. Moreover, through CRISPR-SpCas9 screening and integrative transcriptomic and proteomic analysis, we also identified a strong correlation between baseline interferon response gene expression and VPS4A dependency. Indeed, when we treated VPS4B-deficient cells with interferon-β and interferon-γ to induce interferon signaling, we observed a pronounced sensitization of these cells to VPS4A depletion, thus suggesting that immune signals from the tumor microenvironment may influence VPS4 dependency. These data collectively suggest potential future therapeutic strategies for combination with VPS4A inhibition. Finally, we demonstrate through mutant rescue experiments that the ATPase domain is critical for the function of VPS4A in mediating survival of cells with partial copy loss of VPS4B. Furthermore, we provide data that elucidate the degree to which VPS4A and VPS4B cooperate and form functional complexes in human cancer cells. Although VPS4A and B demonstrate 80.5% homology, the development of small molecules that differentially target VPS4A in cells with VPS4B loss or VPS4B in cells with VPS4A loss remains a tractable possibility due to small structural differences near the ATP-binding pocket. Moreover, combined inhibition of VPS4A and VPS4B may also prove effective and clinically tolerable given a potential therapeutic window arising from gene dosage alterations and differences in total VPS4A/B levels in tumor versus normal cells.
Citation Format: Jasper E. Neggers, Brenton Paolella, Adhana Asfaw, Michael V. Rothberg, Tom A. Skipper, Radha Kalekar, Michael Burger, Neekesh Dharia, Guillaume Kugener, Jeremie Kalfon, Nancy Dumont, Yvonne Li, Liam Spurr, Annan Yang, Wenbo Wu, AndrewAdam Durbin, Brian M. Wolpin, David E. Root, Jesse Boehm, Andrew D. Cherniack, Aviad Tsherniak, Andrew L. Hong, William C. Hahn, Kimberly Stegmaier, Todd Golub, Francisca Vazquez, Andrew J. Aguirre. Synthetic lethal interaction between the ESCRT paralog enzymes VPS4A and VPS4B in cancers harboring loss of chromosome 18q or 16q [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr NG01.
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Affiliation(s)
| | | | - Adhana Asfaw
- 2Broad Institute of Harvard and MIT, Cambridge, MA
| | | | | | | | | | | | | | | | - Nancy Dumont
- 2Broad Institute of Harvard and MIT, Cambridge, MA
| | - Yvonne Li
- 1Dana-Farber Cancer Institute, Boston, MA
| | - Liam Spurr
- 1Dana-Farber Cancer Institute, Boston, MA
| | - Annan Yang
- 1Dana-Farber Cancer Institute, Boston, MA
| | - Wenbo Wu
- 2Broad Institute of Harvard and MIT, Cambridge, MA
| | | | | | | | - Jesse Boehm
- 2Broad Institute of Harvard and MIT, Cambridge, MA
| | | | | | | | | | | | - Todd Golub
- 2Broad Institute of Harvard and MIT, Cambridge, MA
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Neggers JE, Paolella BR, Asfaw A, Rothberg MV, Skipper TA, Yang A, Kalekar RL, Krill-Burger JM, Dharia NV, Kugener G, Kalfon J, Yuan C, Dumont N, Gonzalez A, Abdusamad M, Li YY, Spurr LF, Wu WW, Durbin AD, Wolpin BM, Piccioni F, Root DE, Boehm JS, Cherniack AD, Tsherniak A, Hong AL, Hahn WC, Stegmaier K, Golub TR, Vazquez F, Aguirre AJ. Synthetic Lethal Interaction between the ESCRT Paralog Enzymes VPS4A and VPS4B in Cancers Harboring Loss of Chromosome 18q or 16q. Cell Rep 2021; 36:109367. [PMID: 34260938 PMCID: PMC8404147 DOI: 10.1016/j.celrep.2021.109367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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Taylor AM, Jain S, Shih J, Cherniack AD, Beroukhim R, Meyerson M. Abstract 2135: Functional models of chromosome arm aneuploidies in lung squamous cell carcinoma. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-2135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Aneuploidy, which we define as whole chromosome or chromosome arm copy number imbalance, is a near-universal characteristic of human cancers. Cancer subtypes are often characterized by tumor specific patterns of chromosome arm copy number alterations; for example, squamous cell carcinomas (SCCs) from different tissues of origin (including lung, head and neck, esophagus, and bladder) have a pattern of chromosome 3p loss and chromosome 3q gain. Although these alterations are frequent, they are not well understood due to difficulty in modeling specific aneuploidy alterations in the matching cell type. However, recent advances in genome engineering allow generation of large chromosomal alterations. We used the CRISPR-Cas9 system to delete one copy of chromosome 3p in human immortalized lung epithelial cells most similar to upper airway basal cells. Deletion of chromosome 3p was validated by whole genome sequencing and karyotyping. Consistent with patient data, expression of 3p genes was decreased upon deletion, as well as increased expression of interferon response genes. Phenotypic characterization revealed that cells with chromosome 3p deletion initially proliferated more slowly than their siblings. These chromosome 3p deleted cells had increased G1 arrest but did not undergo increased apoptosis or cell death. Interestingly, after several passages in culture, the proliferation defect was rescued in chromosome 3p deleted cells. Genome sequencing and karyotype analyses found that evidence of chromosome 3 duplication, transitioning the cell to a state of chromosome 3q gain. We isolated sibling cells with chromosome 3p deletion or chromosome 3q gain and demonstrated that duplication of chromosome 3 could indeed rescue proliferation rates. With our cellular model of chromosome arm-level aneuploidy, we uncovered a selection mechanism that allowed aneuploidy tolerance in vitro, and a possible explanation for joint alteration of both arms of chromosome 3. In conclusion, our genome engineering approach to model chromosome arm-level deletions provides a robust model that will address a gap in our understanding of aneuploidy in cancer.
Citation Format: Alison Marie Taylor, Sejal Jain, Juliann Shih, Andrew D. Cherniack, Rameen Beroukhim, Matthew Meyerson. Functional models of chromosome arm aneuploidies in lung squamous cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2135.
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Affiliation(s)
| | - Sejal Jain
- 2Dana-Farber Cancer Institute, Boston, MA
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Alessi JVM, Ricciuti B, Li YY, Gupta H, Lamberti G, Recondo G, Venkatraman D, Nishino M, Cherniack AD, Lindsay J, Sharma B, Pfaff KL, Felt K, Sholl LM, Rodig SJ, Awad MM. Clinicopathologic, genomic, and tumor microenvironment correlates of aneuploidy and immunotherapy outcomes in NSCLC. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.9119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9119 Background: Cancer aneuploidy, an unbalanced number of chromosomes, is associated with somatic mutation rate, expression of proliferative genes, and altered immune signaling. Whether aneuploidy correlates to a distinct immunophenotype or impacts clinical outcomes to immune checkpoint inhibitors (ICIs) in NSCLC is unclear. Methods: In NSCLCs which underwent targeted next-generation sequencing, we retrospectively analyzed the aneuploidy score (AS), defined as the sum of the number of altered chromosome arms. An unbiased recursive partitioning (URP) algorithm was used to investigate an AS cutoff to discriminate responders from non-responders to ICIs. Multiplexed immunofluorescence to quantify CD8+, Foxp3+, PD-1+, and PD-L1 expression was performed to determine differences in tumor immune cells subsets according to AS cutoff. Results: Among 436 NSCLCs identified, stage I tumors (median AS 1) had significantly lower median AS (mAS) than stage IV cancers (mAS 7, P < 0.001), stage III (mAS 4, P = 0.03), and numerically lower compared to stage II cancers (mAS 3, P = 0.18). We found no difference in the mAS across tumors with a PD-L1 tumor proportion score of ≥50%, 1-49%, or < 1% (mAS 5 vs 7 vs 6, respectively, P = 0.26), nor was there any correlation between aneuploidy and TMB when taken as continuous variables (Spearman R: 0.074, P = 0.12). A total of 279 advanced NSCLCs with available aneuploidy scores were treated with ICIs. An URP analysis identified an AS of 2 as the strongest discriminator of objective response to ICI. Compared to pts with an AS > 2 (N = 207, 74.2%), pts with AS ≤2 (N = 72, 25.8%) had a significantly higher objective response rate (ORR 43.0% vs 19.8%, P < 0.001), a significantly longer median progression-free survival (mPFS 6.2 vs 2.9 months, HR: 0.70 [95% CI: 0.52-0.94], P = 0.02), and a significantly longer median overall survival (mOS 19.8 vs 13.8 months, HR: 0.66 [95% CI: 0.47-0.94], P = 0.02) to treatment with ICIs. After adjusting for other variables such as performance status, presence of oncogenic driver mutation, PD-L1, TMB, and line of treatment, AS was significantly associated with improved mPFS (HR: 0.72 [95% CI: 0.52-0.99], P = 0.04) and mOS (HR: 0.64 [95% CI: 0.44-0.94], P = 0.02). By contrast, among pts who received first-line platinum doublet chemotherapy without ICI, an AS ≤2 (N = 29), when compared to an AS > 2 (N = 56), did not correlate with improved ORR (55.2% vs 44.6%, P = 0.4) or PFS (5.3 vs 4.8 months, HR 0.83 [95% CI: 0.5-1.3], P = 0.43). Among 179 NSCLCs profiled by multiplex immunofluorescence, compared to cancers with an AS > 2, those with low aneuploidy had significantly higher numbers of CD8+, Foxp3+, PD-1+ immune cells, and PD-1+ CD8+ T cell, both intratumorally and when looking at the total numbers of cells within the tumor and at the tumor-stroma interface. Conclusions: NSCLCs with low aneuploidy have a distinct immune microenvironment and more favorable outcomes to ICIs.
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Affiliation(s)
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Yvonne Y. Li
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Hersh Gupta
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Deepti Venkatraman
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | - Kristen Felt
- ImmunoProfile, Dana-Farber Cancer Institute, Boston, MA
| | - Lynette M. Sholl
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - Scott J. Rodig
- Department of Pathology and Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
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Bi WL, Nayak L, Meredith DM, Driver J, Du Z, Hoffman S, Li Y, Lee EQ, Beroukhim R, Rinne M, McFaline-Figueroa R, Chukwueke U, McCluskey C, Gaffey S, Cherniack AD, Stefanik J, Doherty L, Taubert C, Cifrino M, LaFrankie D, Graillon T, Wen PY, Ligon KL, Al-Mefty O, Huang RY, Muzikansky A, Chiocca EA, Santagata S, Dunn IF, Reardon DA. Activity of PD-1 blockade with Nivolumab among patients with recurrent atypical/anaplastic meningioma: Phase II trial results. Neuro Oncol 2021; 24:101-113. [PMID: 34015129 DOI: 10.1093/neuonc/noab118] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Programmed death-1 ligand (PD-L1) contributes to tumor immunosuppression and is upregulated in aggressive meningiomas. We performed a phase II study of nivolumab, a programmed death-1 (PD-1) blocking antibody among patients with grade ≥2 meningioma that recurred after surgery and radiation therapy. METHODS Twenty-five patients received nivolumab (240 mg biweekly) until progression, voluntary withdrawal, unacceptable toxicity, or death. Tumor mutational burden (TMB) and quantification of tumor infiltrating lymphocytes (TIL) were evaluated as potential immunocorrelative biomarkers. Change in neurologic function was prospectively assessed using the Neurologic Assessment in Neuro-Oncology (NANO) scale. RESULTS Enrolled patients had multiple recurrences including ≥3 prior surgeries and ≥2 prior courses of radiation in 60% and 72%, respectively. Nivolumab was well tolerated with no unexpected AEs. PFS-6 was 42.4% (95% CI: 22.8, 60.7) and the median OS was 30.9 months (95% CI: 17.6, NA). One patient achieved radiographic response (ongoing at 4.5 years). TMB was > 10/Mb in 2 of 15 profiled tumors (13.3%). Baseline TIL density was low but increased post-treatment in 3 patients including both patients with elevated TMB. Most patients who achieved PFS-6 maintained neurologic function prior to progression as assessed by NANO. CONCLUSION Nivolumab was well tolerated but failed to improve PFS-6, although a subset of patients appeared to derive benefit. Low levels of TMB and TIL density were typically observed. NANO assessment of neurologic function contributed to outcome assessment. Future studies may consider rationally designed combinatorial regimens.
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Affiliation(s)
- Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Lakshmi Nayak
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - David M Meredith
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Joseph Driver
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ziming Du
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, China
| | - Samantha Hoffman
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Yvonne Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, USA
| | - Eudocia Quant Lee
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Rameen Beroukhim
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, USA
| | - Mikael Rinne
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | | | - Ugonma Chukwueke
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Christine McCluskey
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Sarah Gaffey
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Jennifer Stefanik
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Lisa Doherty
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Christina Taubert
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Meghan Cifrino
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Deborah LaFrankie
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Thomas Graillon
- Faculté de Médecine, Aix Marseille Université, Marseille, France
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Keith L Ligon
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ossama Al-Mefty
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Alona Muzikansky
- Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - E Antonio Chiocca
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, USA
| | - Sandro Santagata
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ian F Dunn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - David A Reardon
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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Alden SL, Ricciuti B, Lamberti G, Spurr LF, Sholl LM, Cherniack AD, Awad MM, Li YY. Changes in PD-L1 tumor proportion score are associated with CD274 gene (encoding PD-L1) copy number variation in non-small cell lung cancer. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.9029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9029 Background: PD-L1 tumor proportion score (TPS) is often used to determine eligibility for first line therapy with immune checkpoint inhibitors (ICIs) in advanced non-small cell lung cancer (NSCLC). However, PD-L1 expression can vary over time and between tumor sites, potentially leading to inaccurate patient stratification. Therefore, it is critical to understand the clinicopathologic and genomic factors that are associated with PD-L1 changes in NSCLC. Methods: Clinicopathologic and genomic data were collected from patients with NSCLC and quantitative PD-L1 immunohistochemistry (IHC) on at least two different biopsies. NSCLC biopsies were categorized as PD-L1 negative, low, and high if they had a PD-L1 TPS < 1%, 1-49%, and ≥50%, respectively. Intrapatient changes in PD-L1 TPS between samples (DPD-L1) were defined as follows: major decrease (decrease in PD-L1 TPS from ≥50% to < 50% or from ≥1% to < 1%), major increase (increase in PD-L1 TPS from < 1% to ≥1% or < 50% to ≥50%), and non-major change (all other cases). Next-generation sequencing (NGS) was used to evaluate copy number (CN) variations at the CD274 locus, which encodes PD-L1. Wilcoxon and Kruskal-Wallis rank sum tests were used to analyze continuous variables and Fisher’s exact test was used to analyze categorical variables. Results: Among 250 patients with NSCLC with PD-L1 IHC assays performed on at least two distinct tissue samples, PD-L1 TPS of the first biopsy was < 1% in 104 (41.6%), 1-49% in 80 (32.0%), and ≥50% in 66 (26.4%) samples, for a median PD-L1 TPS of 2% (range: 0% to 100%). When intrapatient DPD-L1 was examined, there were major decreases and major increases in PD-L1 TPS in 49 (19.6%) and 65 (26.0%) cases, respectively, and non-major changes were observed in the remaining 136 samples (54.4%), with a median DPD-L1 of 0% (range: -90% to +90%). Baseline PD-L1 TPS and DPD-L1 were not significantly affected by histology, smoking status, sex, or treatment. Among 219 NSCLC samples that underwent tissue NGS and had full CN data available, the median PD-L1 TPS differed significantly based on CD274 CN: PD-L1 TPS 1% with single copy deletion vs. 5% with copy neutral vs. 42.5% with low amplification vs. 97.5% with high amplification (p < 0.01). Among 56 patients with paired PD-L1 TPS and NGS on both samples, there was a significant difference in median DPD-L1 according to CD274 CN change: DPD-L1 TPS -49% with acquired CD274 CN loss vs. 0% with no major change in CD274 CN vs. +1.75% with acquired CD274 CN gain (p = 0.01). Conclusions: PD-L1 TPS varies within the same patient in almost half of NSCLC cases, with few clinicopathologic correlates of change in expression. Variation in PD-L1 TPS correlates with changes in CD274 CN across biopsies. These findings suggest a genomic correlate to predict PD-L1 TPS across samples, as well as a potential complementary method in determining in ICI initiation.
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Affiliation(s)
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Liam Flinn Spurr
- University of Chicago Pritzker School of Medicine (Chicago, IL), Chicago, IL
| | - Lynette M. Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
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Ricciuti B, Alessi JVM, Li YY, Lawrence MN, Gupta H, Nishino M, Cherniack AD, Sholl LM, Awad MM. DNMT3A mutation to identify a subset of non-small cell lung cancers with increased sensitivity to PD-(L)1 blockade. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.9113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9113 Background: Despite significant improvements in overall survival with PD-(L)1 inhibition, the majority of patients with metastatic NSCLC do not respond to immune checkpoint inhibition (ICI). Growing evidence suggests the importance of genomic alterations in modulating anti-cancer immune response and predicting ICI efficacy in solid tumors. However, the genomic correlates of response and resistance to ICI in NSCLC are still largely unknown. Methods: Patients with advanced NSCLC treated with PD-(L)1 blockade whose tumors underwent comprehensive genomic profiling were included. Mutation enrichment analysis was performed to identify genomic alterations enriched in responders versus (vs) non-responders to ICI. Loss-of function mutations annotated as oncogenic by OncoKB, and missense mutations predicted to be deleterious by SIFT/Polyphen-2 were considered. Cox proportional hazards models was used to estimate hazard ratios (HRs) in univariable and multivariable models. Results: : Among 600 NSCLCs, we identified deleterious mutations in the DNA methyltransferase 3A ( DNMT3A) gene as the most significant alteration enriched in responders versus non-responders to PD-(L)1 blockade (q-Value < 0.05). DNMT3AMUT (7.3%, N = 44) and DNMT3A wild-type ( DNMT3AWT) cases (92.7%, N = 556) were well balanced in terms of baseline clinicopathologic features, including PD-L1 expression, sex, performance status, age, concurrent genomic alterations, and smoking history. DNMT3AMUT tumors had a significantly higher median TMB compared to DNMT3AWT cases (12.1 vs 9.8 mutations/megabase, P = 0.03). DNMT3A loss was associated with significantly higher objective response rate (ORR, 50% vs 20.5%, P < 0.001), longer median progression-free (mPFS, 9.2 vs 2.9 months, HR 0.60, P < 0.01) and overall survival (mOS, 23.1 s 12.1 months, HR 0.59, P = 0.01) among DNMT3AMUT compared to DNMT3AWT NSCLCs. Loss-of function mutation in DNMT3A was confirmed be an independent predictor of improved PFS (HR 0.61, P = 0.01) and OS (HR 0.62, P = 0.04) at multivariable analysis. DNMT3A mutation had no impact on OS among patients with advanced NSCLC who did not receive ICI (HR 1.18, P = 0.22), nor among those with early-stage resected NSCLC (HR 1.17, P = 0.48), suggesting that DNMT3A mutation is predictive, rather than prognostic, of ICI efficacy. Although a subset of DNMT3A mutations could have potentially arisen from tumor-associated hematopoietic cells, the DNMT3A allele fraction-to-tumor purity ratio was ≥0.5 in more than 50% of cases, suggesting that a proportion of these mutations were derived from lung cancer cells. Conclusions: Loss-of-function mutation in DNMT3A may identify a new genomically defined subset of NSCLC with increased sensitivity to PD-(L)1 blockade. Additional studies are ongoing to determine the exact source of DNMT3A mutation (clonal hematopoiesis vs tumor) and their relative contribution to ICI efficacy.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Yvonne Y. Li
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | | | - Hersh Gupta
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
| | | | - Lynette M. Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
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Cleary JM, Raghavan S, Wu Q, Li YY, Spurr LF, Gupta HV, Rubinson DA, Fetter IJ, Hornick JL, Nowak JA, Siravegna G, Goyal L, Shi L, Brais LK, Loftus M, Shinagare AB, Abrams TA, Clancy TE, Wang J, Patel AK, Brichory F, Vaslin Chessex A, Sullivan RJ, Keller RB, Denning S, Hill ER, Shapiro GI, Pokorska-Bocci A, Zanna C, Ng K, Schrag D, Janne PA, Hahn WC, Cherniack AD, Corcoran RB, Meyerson M, Daina A, Zoete V, Bardeesy N, Wolpin BM. FGFR2 Extracellular Domain In-Frame Deletions are Therapeutically Targetable Genomic Alterations that Function as Oncogenic Drivers in Cholangiocarcinoma. Cancer Discov 2021; 11:2488-2505. [PMID: 33926920 DOI: 10.1158/2159-8290.cd-20-1669] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 03/10/2021] [Accepted: 04/26/2021] [Indexed: 11/16/2022]
Abstract
We conducted next generation DNA sequencing on 335 biliary tract cancers and characterized the genomic landscape by anatomic site within the biliary tree. In addition to frequent FGFR2 fusions among patients with intrahepatic cholangiocarcinoma (IHCC), we identified FGFR2 extracellular domain in-frame deletions (EIDs) in 5 of 178 (2.8%) patients with IHCC, including two patients with FGFR2 p.H167_N173del. Expression of this FGFR2 EID in NIH3T3 cells resulted in constitutive FGFR2 activation, oncogenic transformation, and sensitivity to FGFR inhibitors. Three patients with FGFR2 EIDs were treated with Debio 1347, an oral FGFR-1/2/3 inhibitor, and all showed partial responses. One patient developed an acquired L618F FGFR2 kinase domain mutation at disease progression and experienced a further partial response for 17 months to an irreversible FGFR2 inhibitor, futibatinib. Together, these findings reveal FGFR2 EIDs as an alternative mechanism of FGFR2 activation in IHCC that predict sensitivity to FGFR inhibitors in the clinic.
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Affiliation(s)
- James M Cleary
- Department of Medical Oncology, Dana-Farber Cancer Institute
| | | | | | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute
| | - Liam F Spurr
- Dana-Farber Cancer Institute, Harvard Medical School
| | - Hersh V Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute
| | | | | | - Jason L Hornick
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School
| | | | | | - Lipika Goyal
- Internal Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School
| | - Lei Shi
- Center for Cancer Research, Massachusetts General Hospital Cancer Center, Harvard Medical School
| | - Lauren K Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute
| | | | - Atul B Shinagare
- Department of Radiology, Brigham and Women's Hospital/ Dana-Farber Cancer Institute
| | | | | | - Jiping Wang
- Department of Surgery, Brigham and Women's Hospital
| | - Anuj K Patel
- Department of Gastrointestinal Oncology, Dana-Farber Cancer Institute
| | | | | | - Ryan J Sullivan
- Center for Melanoma, Massachusetts General Hospital Cancer Center
| | | | | | - Emma R Hill
- Dana-Farber/Brigham and Women's Cancer Center
| | | | | | | | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute
| | | | - Pasi A Janne
- Lowe Center for Thoracic Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute
| | - William C Hahn
- Department of Medical Oncology, Dana-Farber Cancer Institute
| | - Andrew D Cherniack
- Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School
| | | | | | | | | | | | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber/Harvard Cancer Center
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45
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Robertson AG, Yau C, Carrot-Zhang J, Damrauer JS, Knijnenburg TA, Chambwe N, Hoadley KA, Kemal A, Zenklusen JC, Cherniack AD, Beroukhim R, Zhou W. Integrative modeling identifies genetic ancestry-associated molecular correlates in human cancer. STAR Protoc 2021; 2:100483. [PMID: 33982016 PMCID: PMC8082263 DOI: 10.1016/j.xpro.2021.100483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Cellular and molecular aberrations contribute to the disparity of human cancer incidence and etiology between ancestry groups. Multiomics profiling in The Cancer Genome Atlas (TCGA) allows for querying of the molecular underpinnings of ancestry-specific discrepancies in human cancer. Here, we provide a protocol for integrative associative analysis of ancestry with molecular correlates, including somatic mutations, DNA methylation, mRNA transcription, miRNA transcription, and pathway activity, using TCGA data. This protocol can be generalized to analyze other cancer cohorts and human diseases. For complete details on the use and execution of this protocol, please refer to Carrot-Zhang et al. (2020). Protocols for ancestry associations with TCGA molecular data Protocols for ancestry associations with oncogenic pathways Statistical and power analysis for determining significant associations Key considerations of potential confounding factors
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Affiliation(s)
- A Gordon Robertson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada
| | - Christina Yau
- Buck Institute for Research on Aging, Novato, CA 94945, USA.,Department of Surgery, University of California, San Francisco, San Francisco, CA 94115, USA
| | - Jian Carrot-Zhang
- The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.,Harvard Medical School, Boston, MA 02115, USA
| | - Jeffrey S Damrauer
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | | | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Anab Kemal
- National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Andrew D Cherniack
- The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.,Harvard Medical School, Boston, MA 02115, USA
| | - Rameen Beroukhim
- The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.,Harvard Medical School, Boston, MA 02115, USA.,Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Wanding Zhou
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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46
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Carrot-Zhang J, Yao X, Devarakonda S, Deshpande A, Damrauer JS, Silva TC, Wong CK, Choi HY, Felau I, Robertson AG, Castro MA, Bao L, Rheinbay E, Liu EM, Trieu T, Haan D, Yau C, Hinoue T, Liu Y, Shapira O, Kumar K, Mungall KL, Zhang H, Lee JJK, Berger A, Gao GF, Zhitomirsky B, Liang WW, Zhou M, Moorthi S, Berger AH, Collisson EA, Zody MC, Ding L, Cherniack AD, Getz G, Elemento O, Benz CC, Stuart J, Zenklusen J, Beroukhim R, Chang JC, Campbell JD, Hayes DN, Yang L, Laird PW, Weinstein JN, Kwiatkowski DJ, Tsao MS, Travis WD, Khurana E, Berman BP, Hoadley KA, Robine N, Meyerson M, Govindan R, Imielinski M. Whole-genome characterization of lung adenocarcinomas lacking alterations in the RTK/RAS/RAF pathway. Cell Rep 2021; 34:108784. [PMID: 33626341 PMCID: PMC8608252 DOI: 10.1016/j.celrep.2021.108784] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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47
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Carrot-Zhang J, Yao X, Devarakonda S, Deshpande A, Damrauer JS, Silva TC, Wong CK, Choi HY, Felau I, Robertson AG, Castro MAA, Bao L, Rheinbay E, Liu EM, Trieu T, Haan D, Yau C, Hinoue T, Liu Y, Shapira O, Kumar K, Mungall KL, Zhang H, Lee JJK, Berger A, Gao GF, Zhitomirsky B, Liang WW, Zhou M, Moorthi S, Berger AH, Collisson EA, Zody MC, Ding L, Cherniack AD, Getz G, Elemento O, Benz CC, Stuart J, Zenklusen JC, Beroukhim R, Chang JC, Campbell JD, Hayes DN, Yang L, Laird PW, Weinstein JN, Kwiatkowski DJ, Tsao MS, Travis WD, Khurana E, Berman BP, Hoadley KA, Robine N, Meyerson M, Govindan R, Imielinski M. Whole-genome characterization of lung adenocarcinomas lacking the RTK/RAS/RAF pathway. Cell Rep 2021; 34:108707. [PMID: 33535033 PMCID: PMC8009291 DOI: 10.1016/j.celrep.2021.108707] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 09/08/2020] [Accepted: 01/08/2021] [Indexed: 12/13/2022] Open
Abstract
RTK/RAS/RAF pathway alterations (RPAs) are a hallmark of lung adenocarcinoma (LUAD). In this study, we use whole-genome sequencing (WGS) of 85 cases found to be RPA(-) by previous studies from The Cancer Genome Atlas (TCGA) to characterize the minority of LUADs lacking apparent alterations in this pathway. We show that WGS analysis uncovers RPA(+) in 28 (33%) of the 85 samples. Among the remaining 57 cases, we observe focal deletions targeting the promoter or transcription start site of STK11 (n = 7) or KEAP1 (n = 3), and promoter mutations associated with the increased expression of ILF2 (n = 6). We also identify complex structural variations associated with high-level copy number amplifications. Moreover, an enrichment of focal deletions is found in TP53 mutant cases. Our results indicate that RPA(-) cases demonstrate tumor suppressor deletions and genome instability, but lack unique or recurrent genetic lesions compensating for the lack of RPAs. Larger WGS studies of RPA(-) cases are required to understand this important LUAD subset.
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Affiliation(s)
- Jian Carrot-Zhang
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Xiaotong Yao
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA; Tri-institutional Ph.D. Program in Computational Biology and Medicine, New York, NY, USA; Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Siddhartha Devarakonda
- Section of Medical Oncology, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Aditya Deshpande
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA; Tri-institutional Ph.D. Program in Computational Biology and Medicine, New York, NY, USA; Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Jeffrey S Damrauer
- Department of Genetics, Computational Medicine Program, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tiago Chedraoui Silva
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Christopher K Wong
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Hyo Young Choi
- University of Tennessee Health Science Center, UTHSC Center for Cancer Research, TN, USA
| | - Ina Felau
- National Cancer Institute, Bethesda, MD, USA
| | - A Gordon Robertson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Mauro A A Castro
- Bioinformatics and Systems Biology Laboratory, Federal University of Paraná, Curitiba, PR, Brazil
| | - Lisui Bao
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL, USA
| | - Esther Rheinbay
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Eric Minwei Liu
- Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Tuan Trieu
- Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - David Haan
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Christina Yau
- University of California, San Francisco, San Francisco, CA, USA; Buck Institute for Research on Aging, Novato, CA, USA
| | | | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ofer Shapira
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kiran Kumar
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Karen L Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
| | - Hailei Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Ashton Berger
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Galen F Gao
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Binyamin Zhitomirsky
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Wen-Wei Liang
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO, USA
| | - Meng Zhou
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | - Alice H Berger
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | | | - Li Ding
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO, USA
| | - Andrew D Cherniack
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Olivier Elemento
- Tri-institutional Ph.D. Program in Computational Biology and Medicine, New York, NY, USA; Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | | | - Josh Stuart
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | - Rameen Beroukhim
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jason C Chang
- Thoracic Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joshua D Campbell
- Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - D Neil Hayes
- University of Tennessee Health Science Center, UTHSC Center for Cancer Research, TN, USA
| | - Lixing Yang
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL, USA
| | | | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Ming S Tsao
- Department of Pathology, University Health Network, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - William D Travis
- Thoracic Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ekta Khurana
- Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Benjamin P Berman
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Hebrew University, Jerusalem, Israel
| | - Katherine A Hoadley
- Department of Genetics, Computational Medicine Program, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Matthew Meyerson
- Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Ramaswamy Govindan
- Section of Medical Oncology, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.
| | - Marcin Imielinski
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA; Caryl and Israel Englander Institute for Precision Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
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48
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Singh H, Li YY, Spurr LF, Shinagare AB, Abhyankar R, Reilly E, Brais LK, Nag A, Ducar MD, Thorner AR, Shapiro GI, Keller RB, Siletti C, Clark JW, Farago AF, Lin JJ, Demetri GD, Gujrathi R, Kulke MH, MacConaill LE, Ligon AH, Sicinska E, Meyerson ML, Meyerhardt JA, Cherniack AD, Wolpin BM, Ng K, Giannakis M, Hornick JL, Cleary JM. Molecular Characterization and Therapeutic Targeting of Colorectal Cancers Harboring Receptor Tyrosine Kinase Fusions. Clin Cancer Res 2021; 27:1695-1705. [PMID: 33414136 DOI: 10.1158/1078-0432.ccr-20-4073] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/23/2020] [Accepted: 01/04/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE Receptor tyrosine kinase fusions in colorectal cancers are rare, but potentially therapeutically relevant. We describe clinical, molecular, and pathologic attributes of RTK fusion-associated colorectal cancer. EXPERIMENTAL DESIGN We identified all cases with RTK fusions in patients with colorectal cancer seen at Dana-Farber Cancer Institute (Boston, MA) who underwent OncoPanel testing between 2013 and 2018. Clinical, histologic, and molecular features were extracted from the patient charts and molecular testing results. RESULTS We identified 12 driver oncogenic fusions in various RTKs. These fusions occurred exclusively in BRAF and RAS wild-type tumors and were enriched in right-sided and mismatch repair-deficient (MMR-D) colorectal cancers. All of the MMR-D colorectal cancers with RTK fusions were found in tumors with acquired MMR-D due to MLH1 promoter hypermethylation and one was associated with a sessile serrated polyp. Molecular profiles of MMR-D colorectal cancer with RTK fusions largely resembled BRAF V600E-mutated MMR-D colorectal cancer, rather than those secondary to Lynch syndrome. We describe two patients with fusion-associated microsatellite stable (MSS) colorectal cancer who derived clinical benefit from therapeutic targeting of their translocation. The first harbored an ALK-CAD fusion and received sequential crizotinib and alectinib therapy for a total of 7.5 months until developing an ALK L1196Q gatekeeper mutation. The second patient, whose tumor contained an ROS1-GOPC fusion, continues to benefit from entrectinib after 9 months of therapy. CONCLUSIONS RTK fusions in colorectal cancer are a rare, but important disease subgroup that occurs in RAS and BRAF wild-type tumors. Despite enrichment in acquired MMR-D tumors, RTK fusions also occur in MSS colorectal cancer and provide an important therapeutic target.
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Affiliation(s)
- Harshabad Singh
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
| | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.,Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Liam F Spurr
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.,Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Atul B Shinagare
- Department of Radiology, Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, Massachusetts
| | - Ritika Abhyankar
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Emma Reilly
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Lauren K Brais
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Anwesha Nag
- Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Matthew D Ducar
- Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Aaron R Thorner
- Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Geoffrey I Shapiro
- Early Drug Development Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Rachel B Keller
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Cheta Siletti
- Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jeffrey W Clark
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Anna F Farago
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Jessica J Lin
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - George D Demetri
- Division of Sarcoma, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Rahul Gujrathi
- Department of Radiology, Dana-Farber Cancer Institute/Brigham and Women's Hospital, Boston, Massachusetts
| | - Matthew H Kulke
- Department of Medical Oncology, Boston University Medical Center, Boston, Massachusetts
| | - Laura E MacConaill
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Azra H Ligon
- Division of Clinical Cytogenetics, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ewa Sicinska
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Matthew L Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.,Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jeffrey A Meyerhardt
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.,Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Brian M Wolpin
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Kimmie Ng
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Marios Giannakis
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.,Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jason L Hornick
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - James M Cleary
- Division of Gastrointestinal Cancers, Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
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49
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Garrido-Castro AC, Spurr LF, Hughes ME, Li YY, Cherniack AD, Kumari P, Lloyd MR, Bychkovsky B, Barroso-Sousa R, Di Lascio S, Jain E, Files J, Mohammed-Abreu A, Krevalin M, MacKichan C, Barry WT, Guo H, Xia D, Cerami E, Rollins BJ, MacConaill LE, Lindeman NI, Krop IE, Johnson BE, Wagle N, Winer EP, Dillon DA, Lin NU. Genomic Characterization of de novo Metastatic Breast Cancer. Clin Cancer Res 2020; 27:1105-1118. [PMID: 33293374 DOI: 10.1158/1078-0432.ccr-20-1720] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 08/05/2020] [Accepted: 12/02/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE In contrast to recurrence after initial diagnosis of stage I-III breast cancer [recurrent metastatic breast cancer (rMBC)], de novo metastatic breast cancer (dnMBC) represents a unique setting to elucidate metastatic drivers in the absence of treatment selection. We present the genomic landscape of dnMBC and association with overall survival (OS). EXPERIMENTAL DESIGN Targeted DNA sequencing (OncoPanel) was prospectively performed on either primary or metastatic tumors from 926 patients (212 dnMBC and 714 rMBC). Single-nucleotide variants, copy-number variations, and tumor mutational burden (TMB) in treatment-naïve dnMBC primary tumors were compared with primary tumors in patients who ultimately developed rMBC, and correlated with OS across all dnMBC. RESULTS When comparing primary tumors by subtype, MYB amplification was enriched in triple-negative dnMBC versus rMBC (21.1% vs. 0%, P = 0.0005, q = 0.111). Mutations in KMTD2, SETD2, and PIK3CA were more prevalent, and TP53 and BRCA1 less prevalent, in primary HR+/HER2- tumors of dnMBC versus rMBC, though not significant after multiple comparison adjustment. Alterations associated with shorter OS in dnMBC included TP53 (wild-type: 79.7 months; altered: 44.2 months; P = 0.008, q = 0.107), MYC (79.7 vs. 23.3 months; P = 0.0003, q = 0.011), and cell-cycle (122.7 vs. 54.9 months; P = 0.034, q = 0.245) pathway genes. High TMB correlated with better OS in triple-negative dnMBC (P = 0.041). CONCLUSIONS Genomic differences between treatment-naïve dnMBC and primary tumors of patients who developed rMBC may provide insight into mechanisms underlying metastatic potential and differential therapeutic sensitivity in dnMBC. Alterations associated with poor OS in dnMBC highlight the need for novel approaches to overcome potential intrinsic resistance to current treatments.
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Affiliation(s)
- Ana C Garrido-Castro
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. .,Harvard Medical School, Boston, Massachusetts
| | - Liam F Spurr
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Melissa E Hughes
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Priti Kumari
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Maxwell R Lloyd
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Brittany Bychkovsky
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | | | - Simona Di Lascio
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Esha Jain
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Janet Files
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Max Krevalin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Colin MacKichan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - William T Barry
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Hao Guo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Daniel Xia
- Harvard Medical School, Boston, Massachusetts.,Department of Pathology, Brigham and Women' Hospital, Boston, Massachusetts
| | - Ethan Cerami
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Barrett J Rollins
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Laura E MacConaill
- Harvard Medical School, Boston, Massachusetts.,Department of Pathology, Brigham and Women' Hospital, Boston, Massachusetts.,Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Neal I Lindeman
- Harvard Medical School, Boston, Massachusetts.,Department of Pathology, Brigham and Women' Hospital, Boston, Massachusetts.,Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ian E Krop
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Bruce E Johnson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Nikhil Wagle
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Eric P Winer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Deborah A Dillon
- Harvard Medical School, Boston, Massachusetts.,Department of Pathology, Brigham and Women' Hospital, Boston, Massachusetts
| | - Nancy U Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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50
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Neggers JE, Paolella BR, Asfaw A, Rothberg MV, Skipper TA, Yang A, Kalekar RL, Krill-Burger JM, Dharia NV, Kugener G, Kalfon J, Yuan C, Dumont N, Gonzalez A, Abdusamad M, Li YY, Spurr LF, Wu WW, Durbin AD, Wolpin BM, Piccioni F, Root DE, Boehm JS, Cherniack AD, Tsherniak A, Hong AL, Hahn WC, Stegmaier K, Golub TR, Vazquez F, Aguirre AJ. Synthetic Lethal Interaction between the ESCRT Paralog Enzymes VPS4A and VPS4B in Cancers Harboring Loss of Chromosome 18q or 16q. Cell Rep 2020; 33:108493. [PMID: 33326793 PMCID: PMC8374858 DOI: 10.1016/j.celrep.2020.108493] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 09/04/2020] [Accepted: 11/17/2020] [Indexed: 12/26/2022] Open
Abstract
Few therapies target the loss of tumor suppressor genes in cancer. We examine CRISPR-SpCas9 and RNA-interference loss-of-function screens to identify new therapeutic targets associated with genomic loss of tumor suppressor genes. The endosomal sorting complexes required for transport (ESCRT) ATPases VPS4A and VPS4B score as strong synthetic lethal dependencies. VPS4A is essential in cancers harboring loss of VPS4B adjacent to SMAD4 on chromosome 18q and VPS4B is required in tumors with co-deletion of VPS4A and CDH1 (E-cadherin) on chromosome 16q. We demonstrate that more than 30% of cancers selectively require VPS4A or VPS4B. VPS4A suppression in VPS4B-deficient cells selectively leads to ESCRT-III filament accumulation, cytokinesis defects, nuclear deformation, G2/M arrest, apoptosis, and potent tumor regression. CRISPR-SpCas9 screening and integrative genomic analysis reveal other ESCRT members, regulators of abscission, and interferon signaling as modifiers of VPS4A dependency. We describe a compendium of synthetic lethal vulnerabilities and nominate VPS4A and VPS4B as high-priority therapeutic targets for cancers with 18q or 16q loss. Neggers, Paolella, and colleagues identify the ATPases VPS4A and VPS4B as selective vulnerabilities and potential therapeutic targets in cancers harboring loss of chromosome 18q or 16q. In VPS4B-deficient cancers, VPS4A suppression leads to ESCRT-III dysfunction, nuclear deformation, and abscission defects. Moreover, ESCRT proteins and interferons can modulate dependency on VPS4A.
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Affiliation(s)
- Jasper E Neggers
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Brenton R Paolella
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Adhana Asfaw
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Michael V Rothberg
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Thomas A Skipper
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Annan Yang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Radha L Kalekar
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - John M Krill-Burger
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Neekesh V Dharia
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Cancer and Blood Disorders Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - Guillaume Kugener
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jérémie Kalfon
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Chen Yuan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Nancy Dumont
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alfredo Gonzalez
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Mai Abdusamad
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Yvonne Y Li
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Liam F Spurr
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Westley W Wu
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Adam D Durbin
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Cancer and Blood Disorders Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Federica Piccioni
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - David E Root
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jesse S Boehm
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Andrew D Cherniack
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Aviad Tsherniak
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Andrew L Hong
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Cancer and Blood Disorders Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - William C Hahn
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Kimberly Stegmaier
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Cancer and Blood Disorders Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - Todd R Golub
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Francisca Vazquez
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA.
| | - Andrew J Aguirre
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA.
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