1
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Choudhury AD, Kwak L, Cheung A, Allaire KM, Marquez J, Yang DD, Tripathi A, Kilar JM, Flynn M, Maynard B, Reichel R, Pace AF, Chen BK, Van Allen EM, Kilbridge K, Wei XX, McGregor BA, Pomerantz MM, Bhatt RS, Sweeney CJ, Bubley GJ, Jacene HA, Taplin ME, Huang FW, Harshman LC, Fong L. Randomized Phase II Study Evaluating the Addition of Pembrolizumab to Radium-223 in Metastatic Castration-resistant Prostate Cancer. Cancer Immunol Res 2024; 12:704-718. [PMID: 38552171 PMCID: PMC11148544 DOI: 10.1158/2326-6066.cir-22-0306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/15/2023] [Accepted: 03/08/2024] [Indexed: 06/05/2024]
Abstract
The checkpoint immunotherapeutic pembrolizumab induces responses in a small minority of patients with metastatic castration-resistant prostate cancer (mCRPC). Radium-223 (R223) may increase immunogenicity of bone metastases and increase pembrolizumab (P) activity. In a randomized phase II study, we assessed the effect of R223+P compared with R223 on tumor immune infiltration, safety, and clinical outcomes in patients with mCRPC. The primary endpoint was differences in CD4+ and CD8+ T-cell infiltrate in 8-week versus baseline bone metastasis biopsies; secondary endpoints were safety, radiographic progression-free survival (rPFS), and overall survival (OS). Of the 42 treated patients (29 R223+P, 13 R223), 18 R223+P and 8 R223 patients had evaluable paired tumor biopsies. Median fold-change of CD4+ T cells was -0.7 (range: -9.3 to 4.7) with R223+P and 0.1 (-11.1 to 3.7) with R223 (P = 0.66); for CD8+ T cells, median fold-change was -0.6 (-7.4 to 5.3) with R223+P and -1.3 (-3.1 to 4.8) with R223 (P = 0.66). Median rPFS and OS was 6.1 (95% confidence interval: 2.7-11.0) and 16.9 months [12.7-not reached (NR)], respectively, with R223+P and 5.7 (2.6-NR) and 16.0 (9.0-NR), respectively, with R223. Although R223+P was well tolerated with no unexpected toxicity, the combination did not improve efficacy. High-dimensional flow cytometry demonstrated minimal immune modulation with R223, whereas R223+P induced CTLA-4 expression on circulating CD4+ T cells. Clinical responders possessed lower circulating frequencies of Ki67+ T and myeloid cells at baseline and higher circulating frequencies of TIM-3+ T and myeloid cells by week 9. Although R223+P did not induce T-cell infiltration into the tumor microenvironment, exhaustion of induced peripheral T-cell immune responses may dampen the combination's clinical activity.
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Affiliation(s)
- Atish D Choudhury
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Lucia Kwak
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Alexander Cheung
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Kathryn M Allaire
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Jaqueline Marquez
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - David D Yang
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | | | | | | | | | - Rebecca Reichel
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | | | - Brandon K Chen
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Eliezer M Van Allen
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Kerry Kilbridge
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Xiao X Wei
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Bradley A McGregor
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Mark M Pomerantz
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Rupal S Bhatt
- Harvard Medical School, Boston, Massachusetts
- Beth-Israel Deaconess Medical Center, Boston, Massachusetts
| | | | - Glenn J Bubley
- Harvard Medical School, Boston, Massachusetts
- Beth-Israel Deaconess Medical Center, Boston, Massachusetts
| | - Heather A Jacene
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Mary-Ellen Taplin
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Franklin W Huang
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | | | - Lawrence Fong
- University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
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2
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Chen H, Wang B, Cai L, Yang X, Hu Y, Zhang Y, Leng X, Liu W, Fan D, Niu B, Zhou Q. A comprehensive performance evaluation, comparison, and integration of computational methods for detecting and estimating cross-contamination of human samples in cancer next-generation sequencing analysis. J Biomed Inform 2024; 152:104625. [PMID: 38479675 DOI: 10.1016/j.jbi.2024.104625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/25/2024] [Accepted: 03/10/2024] [Indexed: 03/17/2024]
Abstract
Cross-sample contamination is one of the major issues in next-generation sequencing (NGS)-based molecular assays. This type of contamination, even at very low levels, can significantly impact the results of an analysis, especially in the detection of somatic alterations in tumor samples. Several contamination identification tools have been developed and implemented as a crucial quality-control step in the routine NGS bioinformatic pipeline. However, no study has been published to comprehensively and systematically investigate, evaluate, and compare these computational methods in the cancer NGS analysis. In this study, we comprehensively investigated nine state-of-the-art computational methods for detecting cross-sample contamination. To explore their application in cancer NGS analysis, we further compared the performance of five representative tools by qualitative and quantitative analyses using in silico and simulated experimental NGS data. The results showed that Conpair achieved the best performance for identifying contamination and predicting the level of contamination in solid tumors NGS analysis. Moreover, based on Conpair, we developed a Python script, Contamination Source Predictor (ConSPr), to identify the source of contamination. We anticipate that this comprehensive survey and the proposed tool for predicting the source of contamination will assist researchers in selecting appropriate cross-contamination detection tools in cancer NGS analysis and inspire the development of computational methods for detecting sample cross-contamination and identifying its source in the future.
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Affiliation(s)
- Huijuan Chen
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China; Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; WillingMed Technology Beijing Co. Ltd., Beijing 100176, China
| | - Bing Wang
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China
| | - Lili Cai
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China
| | - Xiaotian Yang
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China
| | - Yali Hu
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China
| | - Yiran Zhang
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China
| | - Xue Leng
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China
| | - Wen Liu
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China
| | - Dongjie Fan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
| | - Beifang Niu
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China; Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; ChosenMed Technology (Zhejiang) Co. Ltd., Zhejiang 311103, China.
| | - Qiming Zhou
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing 100176, China; ChosenMed Technology (Zhejiang) Co. Ltd., Zhejiang 311103, China.
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3
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Varkaris A, Fece de la Cruz F, Martin EE, Norden BL, Chevalier N, Kehlmann AM, Leshchiner I, Barnes H, Ehnstrom S, Stavridi AM, Yuan X, Kim JS, Ellis H, Papatheodoridi A, Gunaydin H, Danysh BP, Parida L, Sanidas I, Ji Y, Lau K, Wulf GM, Bardia A, Spring LM, Isakoff SJ, Lennerz JK, Del Vecchio K, Pierce L, Pazolli E, Getz G, Corcoran RB, Juric D. Allosteric PI3Kα Inhibition Overcomes On-target Resistance to Orthosteric Inhibitors Mediated by Secondary PIK3CA Mutations. Cancer Discov 2024; 14:227-239. [PMID: 37916958 PMCID: PMC10850944 DOI: 10.1158/2159-8290.cd-23-0704] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/20/2023] [Accepted: 10/23/2023] [Indexed: 11/03/2023]
Abstract
PIK3CA mutations occur in ∼8% of cancers, including ∼40% of HR-positive breast cancers, where the PI3K-alpha (PI3Kα)-selective inhibitor alpelisib is FDA approved in combination with fulvestrant. Although prior studies have identified resistance mechanisms, such as PTEN loss, clinically acquired resistance to PI3Kα inhibitors remains poorly understood. Through serial liquid biopsies and rapid autopsies in 39 patients with advanced breast cancer developing acquired resistance to PI3Kα inhibitors, we observe that 50% of patients acquire genomic alterations within the PI3K pathway, including PTEN loss and activating AKT1 mutations. Notably, although secondary PIK3CA mutations were previously reported to increase sensitivity to PI3Kα inhibitors, we identified emergent secondary resistance mutations in PIK3CA that alter the inhibitor binding pocket. Some mutations had differential effects on PI3Kα-selective versus pan-PI3K inhibitors, but resistance induced by all mutations could be overcome by the novel allosteric pan-mutant-selective PI3Kα-inhibitor RLY-2608. Together, these findings provide insights to guide strategies to overcome resistance in PIK3CA-mutated cancers. SIGNIFICANCE In one of the largest patient cohorts analyzed to date, this study defines the clinical landscape of acquired resistance to PI3Kα inhibitors. Genomic alterations within the PI3K pathway represent a major mode of resistance and identify a novel class of secondary PIK3CA resistance mutations that can be overcome by an allosteric PI3Kα inhibitor. See related commentary by Gong and Vanhaesebroeck, p. 204 . See related article by Varkaris et al., p. 240 . This article is featured in Selected Articles from This Issue, p. 201.
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Affiliation(s)
- Andreas Varkaris
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Ferran Fece de la Cruz
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | | | - Bryanna L. Norden
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Nicholas Chevalier
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Allison M. Kehlmann
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | | | - Haley Barnes
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Sara Ehnstrom
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | | | - Xin Yuan
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Janice S. Kim
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Haley Ellis
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | | | | | - Brian P. Danysh
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | | | - Ioannis Sanidas
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Yongli Ji
- Hematology-Oncology, Exeter Hospital, New Haven
| | - Kayao Lau
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Gerburg M. Wulf
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Aditya Bardia
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Laura M. Spring
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Steven J. Isakoff
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Jochen K. Lennerz
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Levi Pierce
- Relay Therapeutics, Cambridge, Massachusetts
| | | | - Gad Getz
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Ryan B. Corcoran
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Dejan Juric
- Mass General Cancer Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts
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4
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Lin S, He C, Song L, Sun L, Zhao R, Min W, Zhao Y. Exosomal lncCRLA is predictive for the evolvement and development of lung adenocarcinoma. Cancer Lett 2024; 582:216588. [PMID: 38097132 DOI: 10.1016/j.canlet.2023.216588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/07/2023] [Accepted: 12/04/2023] [Indexed: 12/19/2023]
Abstract
Lung adenocarcinoma, the most common histological subtype of non-small cell lung cancer, exhibits heterogeneity that enables adaptability, limits therapeutic success, and remains incompletely understood. Our team uncovers that lncRNA related to chemotherapy resistance in lung adenocarcinoma (lncCRLA) is preferentially expressed in lung adenocarcinoma cells with the mesenchymal phenotype. lncCRLA can not enhance chemotherapy resistance in lung adenocarcinoma due to its binding to RIPK1 in exosomes, which is released into intercellular media and transferred by exosomes from mesenchymal-like to epithelial-like cells. However, plasmatic lncCRLA corresponding to tissue lncCRLA functions as a preferred biomarker to reflect the response to chemotherapy and disease progression of lung adenocarcinoma. Through single-cell sequencing, RNA-Mutect technique and spatial transcriptomics, a handful of hybrid EMT cells with elevated lncCRLA are characterized as the origin of lung adenocarcinoma, which are indiscriminated from hybrid EMT cells by the in-depth sequencing. Plasmatic lncCRLA is properly predictive for the preinvasive lesion of lung adenocarcinoma that would evolve to invasive lesion. That notion is confirmed by a brand-new transgenic mouse model in which EMT is tracked by Cre and Dre system. Dasatinib is potential to hinder the spontaneous progression from preinvasive to invasive lesion of lung adenocarcinoma. Together, plasmatic lncCRLA is defined as a brand-new circulating biomarker to predict the occurrence and evolvement of lung adenocarcinoma, a light for early detection of lung adenocarcinoma.
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Affiliation(s)
- Shuai Lin
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Chenyang He
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Lingqin Song
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Liangzhang Sun
- Thoracic Department, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Renyang Zhao
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Weili Min
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
| | - Yang Zhao
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710004, PR China.
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5
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Antonello A, Bergamin R, Calonaci N, Househam J, Milite S, Williams MJ, Anselmi F, d'Onofrio A, Sundaram V, Sosinsky A, Cross WCH, Caravagna G. Computational validation of clonal and subclonal copy number alterations from bulk tumor sequencing using CNAqc. Genome Biol 2024; 25:38. [PMID: 38297376 PMCID: PMC10832148 DOI: 10.1186/s13059-024-03170-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 01/10/2024] [Indexed: 02/02/2024] Open
Abstract
Copy number alterations (CNAs) are among the most important genetic events in cancer, but their detection from sequencing data is challenging because of unknown sample purity, tumor ploidy, and general intra-tumor heterogeneity. Here, we present CNAqc, an evolution-inspired method to perform the computational validation of clonal and subclonal CNAs detected from bulk DNA sequencing. CNAqc is validated using single-cell data and simulations, is applied to over 4000 TCGA and PCAWG samples, and is incorporated into the validation process for the clinically accredited bioinformatics pipeline at Genomics England. CNAqc is designed to support automated quality control procedures for tumor somatic data validation.
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Affiliation(s)
- Alice Antonello
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | - Riccardo Bergamin
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | - Nicola Calonaci
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | - Jacob Househam
- Evolution and Cancer Lab, Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Salvatore Milite
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
- Centre for Computational Biology, Human Technopole, Milan, Italy
| | - Marc J Williams
- Department of Computational Oncology, Memorial Sloan Kettering, New York, USA
| | - Fabio Anselmi
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | - Alberto d'Onofrio
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy
| | | | | | - William C H Cross
- Department of Research Pathology, UCL Cancer Institute, University College London, London, UK
| | - Giulio Caravagna
- Department of Mathematics, Informatics and Geosciences (MIGe), University of Trieste, Trieste, Italy.
- Evolutionary Genomics and Modelling Team, Centre for Evolution and Cancer, Institute of Cancer Research, London, UK.
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6
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Mitchell J, Milite S, Bartram J, Walker S, Volkova N, Yavorska O, Zarowiecki M, Chalker J, Thomas R, Vago L, Sosinsky A, Caravagna G. Clinical application of tumour-in-normal contamination assessment from whole genome sequencing. Nat Commun 2024; 15:323. [PMID: 38238294 PMCID: PMC10796348 DOI: 10.1038/s41467-023-44158-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 12/01/2023] [Indexed: 01/22/2024] Open
Abstract
The unexpected contamination of normal samples with tumour cells reduces variant detection sensitivity, compromising downstream analyses in canonical tumour-normal analyses. Leveraging whole-genome sequencing data available at Genomics England, we develop a tool for normal sample contamination assessment, which we validate in silico and against minimal residual disease testing. From a systematic review of [Formula: see text] patients with haematological malignancies and sarcomas, we find contamination across a range of cancer clinical indications and DNA sources, with highest prevalence in saliva samples from acute myeloid leukaemia patients, and sorted CD3+ T-cells from myeloproliferative neoplasms. Further exploration reveals 108 hotspot mutations in genes associated with haematological cancers at risk of being subtracted by standard variant calling pipelines. Our work highlights the importance of contamination assessment for accurate somatic variants detection in research and clinical settings, especially with large-scale sequencing projects being utilised to deliver accurate data from which to make clinical decisions for patient care.
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Affiliation(s)
| | - Salvatore Milite
- Computational Biology Research Centre, Human Technopole, Milan, Italy
- Cancer Data Science Laboratory, Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy
| | - Jack Bartram
- Department of Haematology, Great Ormond Street Hospital for Children, London, UK
| | | | | | | | | | - Jane Chalker
- Specialist Integrated Haematological Malignancy Diagnostic Service - Acquired Genomics, Great Ormond Street Hospital for Children, London, UK
| | - Rebecca Thomas
- Department of Haematology, Great Ormond Street Hospital for Children, London, UK
| | - Luca Vago
- Research Unit of Immunogenetics, Leukemia Genomics and Immunobiology, IRCCS Hospital San Raffaele, Milan, Italy
| | | | - Giulio Caravagna
- Cancer Data Science Laboratory, Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy.
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
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7
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Caswell DR, Gui P, Mayekar MK, Law EK, Pich O, Bailey C, Boumelha J, Kerr DL, Blakely CM, Manabe T, Martinez-Ruiz C, Bakker B, De Dios Palomino Villcas J, I Vokes N, Dietzen M, Angelova M, Gini B, Tamaki W, Allegakoen P, Wu W, Humpton TJ, Hill W, Tomaschko M, Lu WT, Haderk F, Al Bakir M, Nagano A, Gimeno-Valiente F, de Carné Trécesson S, Vendramin R, Barbè V, Mugabo M, Weeden CE, Rowan A, McCoach CE, Almeida B, Green M, Gomez C, Nanjo S, Barbosa D, Moore C, Przewrocka J, Black JRM, Grönroos E, Suarez-Bonnet A, Priestnall SL, Zverev C, Lighterness S, Cormack J, Olivas V, Cech L, Andrews T, Rule B, Jiao Y, Zhang X, Ashford P, Durfee C, Venkatesan S, Temiz NA, Tan L, Larson LK, Argyris PP, Brown WL, Yu EA, Rotow JK, Guha U, Roper N, Yu J, Vogel RI, Thomas NJ, Marra A, Selenica P, Yu H, Bakhoum SF, Chew SK, Reis-Filho JS, Jamal-Hanjani M, Vousden KH, McGranahan N, Van Allen EM, Kanu N, Harris RS, Downward J, Bivona TG, Swanton C. The role of APOBEC3B in lung tumor evolution and targeted cancer therapy resistance. Nat Genet 2024; 56:60-73. [PMID: 38049664 PMCID: PMC10786726 DOI: 10.1038/s41588-023-01592-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 10/25/2023] [Indexed: 12/06/2023]
Abstract
In this study, the impact of the apolipoprotein B mRNA-editing catalytic subunit-like (APOBEC) enzyme APOBEC3B (A3B) on epidermal growth factor receptor (EGFR)-driven lung cancer was assessed. A3B expression in EGFR mutant (EGFRmut) non-small-cell lung cancer (NSCLC) mouse models constrained tumorigenesis, while A3B expression in tumors treated with EGFR-targeted cancer therapy was associated with treatment resistance. Analyses of human NSCLC models treated with EGFR-targeted therapy showed upregulation of A3B and revealed therapy-induced activation of nuclear factor kappa B (NF-κB) as an inducer of A3B expression. Significantly reduced viability was observed with A3B deficiency, and A3B was required for the enrichment of APOBEC mutation signatures, in targeted therapy-treated human NSCLC preclinical models. Upregulation of A3B was confirmed in patients with NSCLC treated with EGFR-targeted therapy. This study uncovers the multifaceted roles of A3B in NSCLC and identifies A3B as a potential target for more durable responses to targeted cancer therapy.
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Affiliation(s)
- Deborah R Caswell
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
| | - Philippe Gui
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Manasi K Mayekar
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Emily K Law
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Oriol Pich
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Chris Bailey
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Jesse Boumelha
- Oncogene Biology Laboratory, The Francis Crick Institute, London, UK
| | - D Lucas Kerr
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Collin M Blakely
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Tadashi Manabe
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Carlos Martinez-Ruiz
- Cancer Genome Evolution Research Group, University College London, Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
| | - Bjorn Bakker
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | | | - Natalie I Vokes
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michelle Dietzen
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, University College London, Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
| | - Mihaela Angelova
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Beatrice Gini
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Whitney Tamaki
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Paul Allegakoen
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Wei Wu
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Timothy J Humpton
- p53 and Metabolism Laboratory, The Francis Crick Institute, London, UK
- CRUK Beatson Institute, Glasgow, UK
- Glasgow Caledonian University, Glasgow, UK
| | - William Hill
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Mona Tomaschko
- Oncogene Biology Laboratory, The Francis Crick Institute, London, UK
| | - Wei-Ting Lu
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Franziska Haderk
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Maise Al Bakir
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Ai Nagano
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | | | | | - Roberto Vendramin
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Vittorio Barbè
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Miriam Mugabo
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
| | - Clare E Weeden
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Andrew Rowan
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | | | - Bruna Almeida
- The Roger Williams Institute of Hepatology, Foundation for Liver Research, London, UK
- Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Mary Green
- Experimental Histopathology, The Francis Crick Institute, London, UK
| | - Carlos Gomez
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Shigeki Nanjo
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Dora Barbosa
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Chris Moore
- Oncogene Biology Laboratory, The Francis Crick Institute, London, UK
| | - Joanna Przewrocka
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - James R M Black
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, University College London, Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
| | - Eva Grönroos
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Alejandro Suarez-Bonnet
- Experimental Histopathology, The Francis Crick Institute, London, UK
- Department of Pathobiology & Population Sciences, The Royal Veterinary College, London, UK
| | - Simon L Priestnall
- Experimental Histopathology, The Francis Crick Institute, London, UK
- Department of Pathobiology & Population Sciences, The Royal Veterinary College, London, UK
| | - Caroline Zverev
- Biological Research Facility, The Francis Crick Institute, London, UK
| | - Scott Lighterness
- Biological Research Facility, The Francis Crick Institute, London, UK
| | - James Cormack
- Biological Research Facility, The Francis Crick Institute, London, UK
| | - Victor Olivas
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Lauren Cech
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Trisha Andrews
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | - Paul Ashford
- Institute of Structural and Molecular Biology, University College London, London, UK
| | - Cameron Durfee
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Subramanian Venkatesan
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Nuri Alpay Temiz
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Lisa Tan
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Lindsay K Larson
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Prokopios P Argyris
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
- School of Dentistry, University of Minnesota, Minneapolis, MN, USA
- College of Dentistry, Ohio State University, Columbus, OH, USA
| | - William L Brown
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Elizabeth A Yu
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Sutter Health Palo Alto Medical Foundation, Department of Pulmonary and Critical Care, Mountain View, CA, USA
| | - Julia K Rotow
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Udayan Guha
- Thoracic and GI Malignancies Branch, NCI, NIH, Bethesda, MD, USA
- NextCure Inc., Beltsville, MD, USA
| | - Nitin Roper
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Johnny Yu
- Biomedical Sciences Program, University of California, San Francisco, San Francisco, CA, USA
| | - Rachel I Vogel
- Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, MN, USA
| | - Nicholas J Thomas
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Antonio Marra
- Division of Early Drug Development for Innovative Therapy, European Institute of Oncology IRCCS, Milan, Italy
| | - Pier Selenica
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Helena Yu
- Memorial Sloan Kettering Cancer Center, New York City, NY, USA
- Department of Medicine, Weill Cornell College of Medicine, New York City, NY, USA
| | - Samuel F Bakhoum
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Su Kit Chew
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | | | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
- Department of Medical Oncology, University College London Hospitals, London, UK
| | - Karen H Vousden
- p53 and Metabolism Laboratory, The Francis Crick Institute, London, UK
| | - Nicholas McGranahan
- Cancer Genome Evolution Research Group, University College London, Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nnennaya Kanu
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
| | - Reuben S Harris
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX, USA
- Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Julian Downward
- Oncogene Biology Laboratory, The Francis Crick Institute, London, UK
| | - Trever G Bivona
- Departments of Medicine and Cellular and Molecular Pharmacology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
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8
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Mouhieddine TH, Nzerem C, Redd R, Dunford A, Leventhal M, Sklavenitis-Pistofidis R, Tahri S, El-Khoury H, Steensma DP, Ebert BL, Soiffer RJ, Keats JJ, Mehr S, Auclair D, Ghobrial IM, Sperling AS, Stewart C, Getz G. Clinical Outcomes and Evolution of Clonal Hematopoiesis in Patients with Newly Diagnosed Multiple Myeloma. CANCER RESEARCH COMMUNICATIONS 2023; 3:2560-2571. [PMID: 38019104 PMCID: PMC10730502 DOI: 10.1158/2767-9764.crc-23-0093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/23/2023] [Accepted: 11/22/2023] [Indexed: 11/30/2023]
Abstract
Clonal hematopoiesis (CH) at time of autologous stem cell transplant (ASCT) has been shown to be associated with decreased overall survival (OS) and progression-free survival (PFS) in patients with multiple myeloma not receiving immunomodulatory drugs (IMiD). However, the significance of CH in newly diagnosed patients, including transplant ineligible patients, and its effect on clonal evolution during multiple myeloma therapy in the era of novel agents, has not been well studied. Using our new algorithm to differentiate tumor and germline mutations from CH, we detected CH in approximately 10% of 986 patients with multiple myeloma from the Clinical Outcomes in MM to Personal Assessment of Genetic Profile (CoMMpass) cohort (40/529 transplanted and 59/457 non-transplanted patients). CH was associated with increased age, risk of recurrent bacterial infections and cardiovascular disease. CH at time of multiple myeloma diagnosis was not associated with inferior OS or PFS regardless of undergoing ASCT, and all patients benefited from IMiD-based therapies, irrespective of the presence of CH. Serial sampling of 52 patients revealed the emergence of CH over a median of 3 years of treatment, increasing its prevalence to 25%, mostly with DNMT3A mutations. SIGNIFICANCE Using our algorithm to differentiate tumor and germline mutations from CH mutations, we detected CH in approximately 10% of patients with newly diagnosed myeloma, including both transplant eligible and ineligible patients. Receiving IMiDs improved outcomes irrespective of CH status, but the prevalence of CH significantly rose throughout myeloma-directed therapy.
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Affiliation(s)
- Tarek H. Mouhieddine
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Chidimma Nzerem
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Robert Redd
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Andrew Dunford
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | | | - Romanos Sklavenitis-Pistofidis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Sabrin Tahri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Hematology, Erasmus MC Cancer Centre, Rotterdam, the Netherlands
| | - Habib El-Khoury
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - David P. Steensma
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Benjamin L. Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Robert J. Soiffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jonathan J. Keats
- Integrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, Arizona
| | - Shaadi Mehr
- Multiple Myeloma Research Foundation, Norwalk, Connecticut
| | - Daniel Auclair
- Multiple Myeloma Research Foundation, Norwalk, Connecticut
| | - Irene M. Ghobrial
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Adam S. Sperling
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Division of Hematology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Gad Getz
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
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9
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Kamran SC, Zhou Y, Otani K, Drumm M, Otani Y, Wu S, Wu CL, Feldman AS, Wszolek M, Lee RJ, Saylor PJ, Lennerz J, Van Allen E, Willers H, Hong TS, Liu Y, Davicioni E, Gibb EA, Shipley WU, Mouw KW, Efstathiou JA, Miyamoto DT. Genomic Tumor Correlates of Clinical Outcomes Following Organ-Sparing Chemoradiation Therapy for Bladder Cancer. Clin Cancer Res 2023; 29:5116-5127. [PMID: 37870965 PMCID: PMC10722135 DOI: 10.1158/1078-0432.ccr-23-0792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/20/2023] [Accepted: 09/27/2023] [Indexed: 10/25/2023]
Abstract
PURPOSE There is an urgent need for biomarkers of radiation response in organ-sparing therapies. Bladder preservation with trimodality therapy (TMT), consisting of transurethral tumor resection followed by chemoradiation, is an alternative to radical cystectomy for muscle-invasive bladder cancer (MIBC), but molecular determinants of response are poorly understood. EXPERIMENTAL DESIGN We characterized genomic and transcriptomic features correlated with long-term response in a single institution cohort of patients with MIBC homogeneously treated with TMT. Pretreatment tumors from 76 patients with MIBC underwent whole-exome sequencing; 67 underwent matched transcriptomic profiling. Molecular features were correlated with clinical outcomes including modified bladder-intact event-free survival (mBI-EFS), a composite endpoint that reflects long-term cancer control with bladder preservation. RESULTS With a median follow-up of 74.6 months in alive patients, 37 patients had favorable long-term response to TMT while 39 had unfavorable long-term response. Tumor mutational burden was not associated with outcomes after TMT. DNA damage response gene alterations were associated with improved locoregional control and mBI-EFS. Of these alterations, somatic ERCC2 mutations stood out as significantly associated with favorable long-term outcomes; patients with ERCC2 mutations had significantly improved mBI-EFS [HR, 0.15; 95% confidence interval (CI), 0.06-0.37; P = 0.030] and improved BI-EFS, an endpoint that includes all-cause mortality (HR, 0.33; 95% CI, 0.15-0.68; P = 0.044). ERCC2 mutant bladder cancer cell lines were significantly more sensitive to concurrent cisplatin and radiation treatment in vitro than isogenic ERCC2 wild-type cells. CONCLUSIONS Our data identify ERCC2 mutation as a candidate biomarker associated with sensitivity and long-term response to chemoradiation in MIBC. These findings warrant validation in independent cohorts.
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Affiliation(s)
- Sophia C. Kamran
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | - Yuzhen Zhou
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Keisuke Otani
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Michael Drumm
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Yukako Otani
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Shulin Wu
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Chin-Lee Wu
- Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Adam S. Feldman
- Harvard Medical School, Boston, Massachusetts
- Department of Urology, Massachusetts General Hospital, Boston, Massachusetts
| | - Matthew Wszolek
- Harvard Medical School, Boston, Massachusetts
- Department of Urology, Massachusetts General Hospital, Boston, Massachusetts
| | - Richard J. Lee
- Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Philip J. Saylor
- Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Jochen Lennerz
- Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Eliezer Van Allen
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Henning Willers
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Theodore S. Hong
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Yang Liu
- Veracyte, San Francisco, California
| | | | | | - William U. Shipley
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Kent W. Mouw
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jason A. Efstathiou
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - David T. Miyamoto
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Charlestown, Massachusetts
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10
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Giannikou K, Klonowska K, Tsuji J, Wu S, Zhu Z, Probst CK, Kao KZ, Wu CL, Rodig S, Marino-Enriquez A, Zen Y, Schaefer IM, Kwiatkowski DJ. TSC2 inactivation, low mutation burden and high macrophage infiltration characterise hepatic angiomyolipomas. Histopathology 2023; 83:569-581. [PMID: 37679051 DOI: 10.1111/his.15005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/30/2023] [Accepted: 06/26/2023] [Indexed: 09/09/2023]
Abstract
AIMS Although TSC1 or TSC2 inactivating mutations that lead to mTORC1 hyperactivation have been reported in hepatic angiomyolipomas (hAML), the role of other somatic genetic events that may contribute to hAML development is unknown. There are also limited data regarding the tumour microenvironment (TME) of hAML. The aim of the present study was to identify other somatic events in genomic level and changes in TME that contribute to tumorigenesis in hAML. METHODS AND RESULTS In this study, we performed exome sequencing in nine sporadic hAML tumours and deep-coverage targeted sequencing for TSC2 in three additional hAML. Immunohistochemistry and multiplex immunofluorescence were carried out for 15 proteins to characterise the tumour microenvironment and assess immune cell infiltration. Inactivating somatic variants in TSC2 were identified in 10 of 12 (83%) cases, with a median allele frequency of 13.6%. Five to 18 somatic variants (median number: nine, median allele frequency 21%) not in TSC1 or TSC2 were also identified, mostly of uncertain clinical significance. Copy number changes were rare, but detection was impaired by low tumour purity. Immunohistochemistry demonstrated numerous CD68+ macrophages of distinct appearance from Küpffer cells. Multiplex immunofluorescence revealed low numbers of exhausted PD-1+/PD-L1+, FOXP3+ and CD8+ T cells. CONCLUSION hAML tumours have consistent inactivating mutations in TSC2 and have a low somatic mutation rate, similar to other TSC-associated tumours. Careful histological review, standard IHC and multiplex immunofluorescence demonstrated marked infiltration by non-neoplastic inflammatory cells, mostly macrophages.
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Affiliation(s)
- Krinio Giannikou
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Cancer Genome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Hematology and Oncology, Cancer and Blood Disease Institute, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Katarzyna Klonowska
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Cancer Genome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Junko Tsuji
- Genomics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Shulin Wu
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Zachary Zhu
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Clemens K Probst
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Neurological Sciences, Larner College of Medicine, University of Vermont, Burlighton, VT, USA
| | - Katrina Z Kao
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Chin-Lee Wu
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Scott Rodig
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Adrian Marino-Enriquez
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Yoh Zen
- Department of Diagnostic Pathology, Kobe University Hospital, Kobe, Japan
- Institute of Liver Studies, King's College Hospital, London, UK
| | - Inga-Marie Schaefer
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - David J Kwiatkowski
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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11
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Li Y, Porta-Pardo E, Tokheim C, Bailey MH, Yaron TM, Stathias V, Geffen Y, Imbach KJ, Cao S, Anand S, Akiyama Y, Liu W, Wyczalkowski MA, Song Y, Storrs EP, Wendl MC, Zhang W, Sibai M, Ruiz-Serra V, Liang WW, Terekhanova NV, Rodrigues FM, Clauser KR, Heiman DI, Zhang Q, Aguet F, Calinawan AP, Dhanasekaran SM, Birger C, Satpathy S, Zhou DC, Wang LB, Baral J, Johnson JL, Huntsman EM, Pugliese P, Colaprico A, Iavarone A, Chheda MG, Ricketts CJ, Fenyö D, Payne SH, Rodriguez H, Robles AI, Gillette MA, Kumar-Sinha C, Lazar AJ, Cantley LC, Getz G, Ding L. Pan-cancer proteogenomics connects oncogenic drivers to functional states. Cell 2023; 186:3921-3944.e25. [PMID: 37582357 DOI: 10.1016/j.cell.2023.07.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 12/30/2022] [Accepted: 07/10/2023] [Indexed: 08/17/2023]
Abstract
Cancer driver events refer to key genetic aberrations that drive oncogenesis; however, their exact molecular mechanisms remain insufficiently understood. Here, our multi-omics pan-cancer analysis uncovers insights into the impacts of cancer drivers by identifying their significant cis-effects and distal trans-effects quantified at the RNA, protein, and phosphoprotein levels. Salient observations include the association of point mutations and copy-number alterations with the rewiring of protein interaction networks, and notably, most cancer genes converge toward similar molecular states denoted by sequence-based kinase activity profiles. A correlation between predicted neoantigen burden and measured T cell infiltration suggests potential vulnerabilities for immunotherapies. Patterns of cancer hallmarks vary by polygenic protein abundance ranging from uniform to heterogeneous. Overall, our work demonstrates the value of comprehensive proteogenomics in understanding the functional states of oncogenic drivers and their links to cancer development, surpassing the limitations of studying individual cancer types.
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Affiliation(s)
- Yize Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Eduard Porta-Pardo
- Josep Carreras Leukaemia Research Institute (IJC), Badalona 08916, Spain; Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain
| | - Collin Tokheim
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Matthew H Bailey
- Department of Biology and Simmons Center for Cancer Research, Brigham Young University, Provo, UT 84602, USA
| | - Tomer M Yaron
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Vasileios Stathias
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Yifat Geffen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02115, USA
| | - Kathleen J Imbach
- Josep Carreras Leukaemia Research Institute (IJC), Badalona 08916, Spain; Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain
| | - Song Cao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Shankara Anand
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Yo Akiyama
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Wenke Liu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Yizhe Song
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Erik P Storrs
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Michael C Wendl
- McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Mathematics, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Wubing Zhang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Mustafa Sibai
- Josep Carreras Leukaemia Research Institute (IJC), Badalona 08916, Spain; Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain
| | - Victoria Ruiz-Serra
- Josep Carreras Leukaemia Research Institute (IJC), Badalona 08916, Spain; Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain
| | - Wen-Wei Liang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Nadezhda V Terekhanova
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Fernanda Martins Rodrigues
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Karl R Clauser
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - David I Heiman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Qing Zhang
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Francois Aguet
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Anna P Calinawan
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Saravana M Dhanasekaran
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Chet Birger
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Daniel Cui Zhou
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Liang-Bo Wang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Jessika Baral
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Jared L Johnson
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Emily M Huntsman
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Pietro Pugliese
- Department of Science and Technology, University of Sannio, 82100 Benevento, Italy
| | - Antonio Colaprico
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Antonio Iavarone
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Neurological Surgery, Department of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Milan G Chheda
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Christopher J Ricketts
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Michael A Gillette
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Chandan Kumar-Sinha
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alexander J Lazar
- Departments of Pathology & Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lewis C Cantley
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63130, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA.
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12
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Geffen Y, Anand S, Akiyama Y, Yaron TM, Song Y, Johnson JL, Govindan A, Babur Ö, Li Y, Huntsman E, Wang LB, Birger C, Heiman DI, Zhang Q, Miller M, Maruvka YE, Haradhvala NJ, Calinawan A, Belkin S, Kerelsky A, Clauser KR, Krug K, Satpathy S, Payne SH, Mani DR, Gillette MA, Dhanasekaran SM, Thiagarajan M, Mesri M, Rodriguez H, Robles AI, Carr SA, Lazar AJ, Aguet F, Cantley LC, Ding L, Getz G. Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation. Cell 2023; 186:3945-3967.e26. [PMID: 37582358 PMCID: PMC10680287 DOI: 10.1016/j.cell.2023.07.013] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 01/06/2023] [Accepted: 07/10/2023] [Indexed: 08/17/2023]
Abstract
Post-translational modifications (PTMs) play key roles in regulating cell signaling and physiology in both normal and cancer cells. Advances in mass spectrometry enable high-throughput, accurate, and sensitive measurement of PTM levels to better understand their role, prevalence, and crosstalk. Here, we analyze the largest collection of proteogenomics data from 1,110 patients with PTM profiles across 11 cancer types (10 from the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium [CPTAC]). Our study reveals pan-cancer patterns of changes in protein acetylation and phosphorylation involved in hallmark cancer processes. These patterns revealed subsets of tumors, from different cancer types, including those with dysregulated DNA repair driven by phosphorylation, altered metabolic regulation associated with immune response driven by acetylation, affected kinase specificity by crosstalk between acetylation and phosphorylation, and modified histone regulation. Overall, this resource highlights the rich biology governed by PTMs and exposes potential new therapeutic avenues.
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Affiliation(s)
- Yifat Geffen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02115, USA
| | - Shankara Anand
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Yo Akiyama
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Tomer M Yaron
- Weill Cornell Medical College, Meyer Cancer Center, New York, NY 10021, USA
| | - Yizhe Song
- Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jared L Johnson
- Weill Cornell Medical College, Meyer Cancer Center, New York, NY 10021, USA
| | - Akshay Govindan
- Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Özgün Babur
- Department of Computer Science, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Yize Li
- Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Emily Huntsman
- Weill Cornell Medical College, Meyer Cancer Center, New York, NY 10021, USA
| | - Liang-Bo Wang
- Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Chet Birger
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - David I Heiman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Qing Zhang
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Mendy Miller
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Yosef E Maruvka
- Biotechnology and Food Engineering, Lokey Center for Life Science and Engineering, Technion, Israel Institute of Technology, Haifa, Israel
| | - Nicholas J Haradhvala
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Anna Calinawan
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Saveliy Belkin
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Alexander Kerelsky
- Weill Cornell Medical College, Meyer Cancer Center, New York, NY 10021, USA
| | - Karl R Clauser
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Karsten Krug
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Michael A Gillette
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA
| | | | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Steven A Carr
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Alexander J Lazar
- Departments of Pathology & Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - François Aguet
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.
| | - Lewis C Cantley
- Weill Cornell Medical College, Meyer Cancer Center, New York, NY 10021, USA.
| | - Li Ding
- Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.
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13
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Robbe P, Schuh A. Genomic Stratification of Hematological Malignancies. Hemasphere 2023; 7:e902. [PMID: 37251914 PMCID: PMC10219718 DOI: 10.1097/hs9.0000000000000902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 04/25/2023] [Indexed: 05/31/2023] Open
Affiliation(s)
- Pauline Robbe
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Anna Schuh
- Department of Oncology, University of Oxford, United Kingdom
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14
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Haas BJ, Dobin A, Ghandi M, Van Arsdale A, Tickle T, Robinson JT, Gillani R, Kasif S, Regev A. Targeted in silico characterization of fusion transcripts in tumor and normal tissues via FusionInspector. CELL REPORTS METHODS 2023; 3:100467. [PMID: 37323575 PMCID: PMC10261907 DOI: 10.1016/j.crmeth.2023.100467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 02/28/2023] [Accepted: 04/14/2023] [Indexed: 06/17/2023]
Abstract
Here, we present FusionInspector for in silico characterization and interpretation of candidate fusion transcripts from RNA sequencing (RNA-seq) and exploration of their sequence and expression characteristics. We applied FusionInspector to thousands of tumor and normal transcriptomes and identified statistical and experimental features enriched among biologically impactful fusions. Through clustering and machine learning, we identified large collections of fusions potentially relevant to tumor and normal biological processes. We show that biologically relevant fusions are enriched for relatively high expression of the fusion transcript, imbalanced fusion allelic ratios, and canonical splicing patterns, and are deficient in sequence microhomologies between partner genes. We demonstrate that FusionInspector accurately validates fusion transcripts in silico and helps characterize numerous understudied fusions in tumor and normal tissue samples. FusionInspector is freely available as open source for screening, characterization, and visualization of candidate fusions via RNA-seq, and facilitates transparent explanation and interpretation of machine-learning predictions and their experimental sources.
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Affiliation(s)
- Brian J. Haas
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Graduate Program in Bioinformatics, Boston University, Boston, MA 02215, USA
| | | | | | - Anne Van Arsdale
- Department of Obstetrics and Gynecology and Women’s Health, Albert Einstein Montefiore Medical Center, Bronx, NY 10461, USA
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Timothy Tickle
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James T. Robinson
- School of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Riaz Gillani
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02215, USA
- Boston Children’s Hospital, Boston, MA 02115, USA
| | - Simon Kasif
- Graduate Program in Bioinformatics, Boston University, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
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15
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Oreper D, Klaeger S, Jhunjhunwala S, Delamarre L. The peptide woods are lovely, dark and deep: Hunting for novel cancer antigens. Semin Immunol 2023; 67:101758. [PMID: 37027981 DOI: 10.1016/j.smim.2023.101758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 03/22/2023] [Accepted: 03/22/2023] [Indexed: 04/08/2023]
Abstract
Harnessing the patient's immune system to control a tumor is a proven avenue for cancer therapy. T cell therapies as well as therapeutic vaccines, which target specific antigens of interest, are being explored as treatments in conjunction with immune checkpoint blockade. For these therapies, selecting the best suited antigens is crucial. Most of the focus has thus far been on neoantigens that arise from tumor-specific somatic mutations. Although there is clear evidence that T-cell responses against mutated neoantigens are protective, the large majority of these mutations are not immunogenic. In addition, most somatic mutations are unique to each individual patient and their targeting requires the development of individualized approaches. Therefore, novel antigen types are needed to broaden the scope of such treatments. We review high throughput approaches for discovering novel tumor antigens and some of the key challenges associated with their detection, and discuss considerations when selecting tumor antigens to target in the clinic.
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Affiliation(s)
- Daniel Oreper
- Genentech, 1 DNA way, South San Francisco, 94080 CA, USA.
| | - Susan Klaeger
- Genentech, 1 DNA way, South San Francisco, 94080 CA, USA.
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16
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Ravi A, Hellmann MD, Arniella MB, Holton M, Freeman SS, Naranbhai V, Stewart C, Leshchiner I, Kim J, Akiyama Y, Griffin AT, Vokes NI, Sakhi M, Kamesan V, Rizvi H, Ricciuti B, Forde PM, Anagnostou V, Riess JW, Gibbons DL, Pennell NA, Velcheti V, Digumarthy SR, Mino-Kenudson M, Califano A, Heymach JV, Herbst RS, Brahmer JR, Schalper KA, Velculescu VE, Henick BS, Rizvi N, Jänne PA, Awad MM, Chow A, Greenbaum BD, Luksza M, Shaw AT, Wolchok J, Hacohen N, Getz G, Gainor JF. Genomic and transcriptomic analysis of checkpoint blockade response in advanced non-small cell lung cancer. Nat Genet 2023; 55:807-819. [PMID: 37024582 PMCID: PMC10181943 DOI: 10.1038/s41588-023-01355-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 02/24/2023] [Indexed: 04/08/2023]
Abstract
Anti-PD-1/PD-L1 agents have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). To expand our understanding of the molecular features underlying response to checkpoint inhibitors in NSCLC, we describe here the first joint analysis of the Stand Up To Cancer-Mark Foundation cohort, a resource of whole exome and/or RNA sequencing from 393 patients with NSCLC treated with anti-PD-(L)1 therapy, along with matched clinical response annotation. We identify a number of associations between molecular features and outcome, including (1) favorable (for example, ATM altered) and unfavorable (for example, TERT amplified) genomic subgroups, (2) a prominent association between expression of inducible components of the immunoproteasome and response and (3) a dedifferentiated tumor-intrinsic subtype with enhanced response to checkpoint blockade. Taken together, results from this cohort demonstrate the complexity of biological determinants underlying immunotherapy outcomes and reinforce the discovery potential of integrative analysis within large, well-curated, cancer-specific cohorts.
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Affiliation(s)
- Arvind Ravi
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Monica B Arniella
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Mark Holton
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Samuel S Freeman
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Vivek Naranbhai
- Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Boston, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
- Center for the AIDS Programme for Research in South Africa, Durban, South Africa
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA
| | - Chip Stewart
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Ignaty Leshchiner
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | | | - Yo Akiyama
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Aaron T Griffin
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Natalie I Vokes
- Department of Thoracic and Head and Neck Oncology, MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, MD Anderson Cancer Center, Houston, TX, USA
| | - Mustafa Sakhi
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA
| | - Vashine Kamesan
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA
| | - Hira Rizvi
- Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Patrick M Forde
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Valsamo Anagnostou
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Don L Gibbons
- Department of Thoracic and Head and Neck Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Nathan A Pennell
- Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH, USA
| | - Vamsidhar Velcheti
- Department of Hematology and Oncology, NYU Langone Health, New York, NY, USA
| | - Subba R Digumarthy
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Mari Mino-Kenudson
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Andrea Califano
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- J.P. Sulzberger Columbia Genome Center, New York, NY, USA
| | - John V Heymach
- Department of Thoracic and Head and Neck Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Roy S Herbst
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Julie R Brahmer
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kurt A Schalper
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Victor E Velculescu
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brian S Henick
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | | | - Pasi A Jänne
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Andrew Chow
- Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Benjamin D Greenbaum
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Physiology, Biophysics & Systems Biology, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Marta Luksza
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alice T Shaw
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA
| | | | - Nir Hacohen
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Boston, MA, USA.
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Boston, MA, USA.
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
| | - Justin F Gainor
- Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Boston, MA, USA.
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA.
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17
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Leshchiner I, Mroz EA, Cha J, Rosebrock D, Spiro O, Bonilla-Velez J, Faquin WC, Lefranc-Torres A, Lin DT, Michaud WA, Getz G, Rocco JW. Inferring early genetic progression in cancers with unobtainable premalignant disease. NATURE CANCER 2023; 4:550-563. [PMID: 37081260 PMCID: PMC10132986 DOI: 10.1038/s43018-023-00533-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 02/24/2023] [Indexed: 04/22/2023]
Abstract
Analysis of premalignant tissue has identified the typical order of somatic events leading to invasive tumors in several cancer types. For other cancers, premalignant tissue is unobtainable, leaving genetic progression unknown. Here, we demonstrate how to infer progression from exome sequencing of primary tumors. Our computational method, PhylogicNDT, recapitulated the previous experimentally determined genetic progression of human papillomavirus-negative (HPV-) head and neck squamous cell carcinoma (HNSCC). We then evaluated HPV+ HNSCC, which lacks premalignant tissue, and uncovered its previously unknown progression, identifying early drivers. We converted relative timing estimates of driver mutations and HPV integration to years before diagnosis based on a clock-like mutational signature. We associated the timing of transitions to aneuploidy with increased intratumor genetic heterogeneity and shorter overall survival. Our approach can establish previously unknown early genetic progression of cancers with unobtainable premalignant tissue, supporting development of experimental models and methods for early detection, interception and prognostication.
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Affiliation(s)
| | - Edmund A Mroz
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA
- The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH, USA
| | - Justin Cha
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Oliver Spiro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Juliana Bonilla-Velez
- Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA, USA
| | - William C Faquin
- Department of Pathology, Massachusetts Eye and Ear, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Armida Lefranc-Torres
- Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA, USA
| | - Derrick T Lin
- Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA, USA
| | - William A Michaud
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
- Cancer Center, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - James W Rocco
- Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
- The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH, USA.
- The Ohio State University Comprehensive Cancer Center-James, The Ohio State University, Columbus, OH, USA.
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18
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Abelin JG, Bergstrom EJ, Rivera KD, Taylor HB, Klaeger S, Xu C, Verzani EK, Jackson White C, Woldemichael HB, Virshup M, Olive ME, Maynard M, Vartany SA, Allen JD, Phulphagar K, Harry Kane M, Rachimi S, Mani DR, Gillette MA, Satpathy S, Clauser KR, Udeshi ND, Carr SA. Workflow enabling deepscale immunopeptidome, proteome, ubiquitylome, phosphoproteome, and acetylome analyses of sample-limited tissues. Nat Commun 2023; 14:1851. [PMID: 37012232 PMCID: PMC10070353 DOI: 10.1038/s41467-023-37547-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 03/20/2023] [Indexed: 04/05/2023] Open
Abstract
Serial multi-omic analysis of proteome, phosphoproteome, and acetylome provides insights into changes in protein expression, cell signaling, cross-talk and epigenetic pathways involved in disease pathology and treatment. However, ubiquitylome and HLA peptidome data collection used to understand protein degradation and antigen presentation have not together been serialized, and instead require separate samples for parallel processing using distinct protocols. Here we present MONTE, a highly sensitive multi-omic native tissue enrichment workflow, that enables serial, deep-scale analysis of HLA-I and HLA-II immunopeptidome, ubiquitylome, proteome, phosphoproteome, and acetylome from the same tissue sample. We demonstrate that the depth of coverage and quantitative precision of each 'ome is not compromised by serialization, and the addition of HLA immunopeptidomics enables the identification of peptides derived from cancer/testis antigens and patient specific neoantigens. We evaluate the technical feasibility of the MONTE workflow using a small cohort of patient lung adenocarcinoma tumors.
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Affiliation(s)
- Jennifer G Abelin
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA.
| | - Erik J Bergstrom
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Keith D Rivera
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Hannah B Taylor
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Susan Klaeger
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Charles Xu
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Eva K Verzani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - C Jackson White
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Hilina B Woldemichael
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Maya Virshup
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Meagan E Olive
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Myranda Maynard
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Stephanie A Vartany
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Joseph D Allen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Kshiti Phulphagar
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - M Harry Kane
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Suzanna Rachimi
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Michael A Gillette
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
- Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Karl R Clauser
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Namrata D Udeshi
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA.
| | - Steven A Carr
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA.
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19
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Chow RD, Michaels T, Bellone S, Hartwich TM, Bonazzoli E, Iwasaki A, Song E, Santin AD. Distinct Mechanisms of Mismatch-Repair Deficiency Delineate Two Modes of Response to Anti-PD-1 Immunotherapy in Endometrial Carcinoma. Cancer Discov 2023; 13:312-331. [PMID: 36301137 PMCID: PMC9905265 DOI: 10.1158/2159-8290.cd-22-0686] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/29/2022] [Accepted: 10/19/2022] [Indexed: 02/07/2023]
Abstract
Mismatch repair-deficient (MMRd) cancers have varied responses to immune-checkpoint blockade (ICB). We conducted a phase II clinical trial of the PD-1 inhibitor pembrolizumab in 24 patients with MMRd endometrial cancer (NCT02899793). Patients with mutational MMRd tumors (6 patients) had higher response rates and longer survival than those with epigenetic MMRd tumors (18 patients). Mutation burden was higher in tumors with mutational MMRd compared with epigenetic MMRd; however, within each category of MMRd, mutation burden was not correlated with ICB response. Pretreatment JAK1 mutations were not associated with primary resistance to pembrolizumab. Longitudinal single-cell RNA-seq of circulating immune cells revealed contrasting modes of antitumor immunity for mutational versus epigenetic MMRd cancers. Whereas effector CD8+ T cells correlated with regression of mutational MMRd tumors, activated CD16+ NK cells were associated with ICB-responsive epigenetic MMRd tumors. These data highlight the interplay between tumor-intrinsic and tumor-extrinsic factors that influence ICB response. SIGNIFICANCE The molecular mechanism of MMRd is associated with response to anti-PD-1 immunotherapy in endometrial carcinoma. Tumors with epigenetic MMRd or mutational MMRd are correlated with NK cell or CD8+ T cell-driven immunity, respectively. Classifying tumors by the mechanism of MMRd may inform clinical decision-making regarding cancer immunotherapy. This article is highlighted in the In This Issue feature, p. 247.
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Affiliation(s)
- Ryan D. Chow
- Department of Genetics, Yale University, New Haven, Connecticut, USA
- System Biology Institute, Yale University, West Haven, Connecticut, USA
- Corresponding authors: Correspondence to: Ryan D. Chow, Address: 850 West Campus Drive, ISTC 314, West Haven CT 06516, , Phone: 203-737-3825, Eric Song, Address: 300 Cedar Street, Suite S630, New Haven, CT 06519, , Phone: 203-785-2919, Alessandro D. Santin, Address: 333 Cedar Street, PO Box 208063, New Haven, CT 06511, , Phone: 203-737-2280
| | - Tai Michaels
- Department of Immunobiology, Yale University, New Haven, Connecticut, USA
| | - Stefania Bellone
- Smilow Comprehensive Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Tobias M.P. Hartwich
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Elena Bonazzoli
- Smilow Comprehensive Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Akiko Iwasaki
- Department of Immunobiology, Yale University, New Haven, Connecticut, USA
- Howard Hughes Medical Institute, Yale University, New Haven, Connecticut, USA
| | - Eric Song
- Department of Immunobiology, Yale University, New Haven, Connecticut, USA
- Corresponding authors: Correspondence to: Ryan D. Chow, Address: 850 West Campus Drive, ISTC 314, West Haven CT 06516, , Phone: 203-737-3825, Eric Song, Address: 300 Cedar Street, Suite S630, New Haven, CT 06519, , Phone: 203-785-2919, Alessandro D. Santin, Address: 333 Cedar Street, PO Box 208063, New Haven, CT 06511, , Phone: 203-737-2280
| | - Alessandro D. Santin
- Smilow Comprehensive Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
- Corresponding authors: Correspondence to: Ryan D. Chow, Address: 850 West Campus Drive, ISTC 314, West Haven CT 06516, , Phone: 203-737-3825, Eric Song, Address: 300 Cedar Street, Suite S630, New Haven, CT 06519, , Phone: 203-785-2919, Alessandro D. Santin, Address: 333 Cedar Street, PO Box 208063, New Haven, CT 06511, , Phone: 203-737-2280
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20
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Han S, Camp SY, Chu H, Collins R, Gillani R, Park J, Bakouny Z, Ricker CA, Reardon B, Moore N, Kofman E, Labaki C, Braun D, Choueiri TK, AlDubayan SH, Van Allen EM. Integrative Analysis of Germline Rare Variants in Clear and Non-Clear Cell Renal Cell Carcinoma. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.18.23284664. [PMID: 36712083 PMCID: PMC9882438 DOI: 10.1101/2023.01.18.23284664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
IMPORTANCE RCC encompasses a set of histologically distinct cancers with a high estimated genetic heritability, of which only a portion is currently explained. Previous rare germline variant studies in RCC have usually pooled clear and non-clear cell RCCs and have not adequately accounted for population stratification that may significantly impact the interpretation and discovery of certain candidate risk genes. OBJECTIVE To evaluate the enrichment of germline PVs in established cancer-predisposing genes (CPGs) in clear cell and non-clear cell RCC patients compared to cancer-free controls using approaches that account for population stratification and to identify unconventional types of germline RCC risk variants that confer an increased risk of developing RCC. DESIGN SETTING AND PARTICIPANTS In 1,436 unselected RCC patients with sufficient data quality, we systematically identified rare germline PVs, cryptic splice variants, and copy number variants (CNVs). From this unselected cohort, 1,356 patients were ancestry-matched with 16,512 cancer-free controls, and gene-level enrichment of rare germline PVs were assessed in 143 CPGs, followed by an investigation of somatic events in matching tumor samples. MAIN OUTCOMES AND MEASURES Gene-level burden of rare germline PVs, identification of secondary somatic events accompanying the germline PVs, and characterization of less-explored types of rare germline PVs in RCC patients. RESULTS In clear cell RCC (n = 976 patients), patients exhibited significantly higher prevalence of PVs in VHL compared to controls (OR: 39.1, 95% CI: 7.01-218.07, p-value:4.95e-05, q-value:0.00584). In non-clear cell RCC (n = 380 patients), patients carried enriched burden of PVs in FH (OR: 77.9, 95% CI: 18.68-324.97, p-value:1.55e-08, q-value: 1.83e-06) and MET (OR: 1.98e11, 95% CI: 0-inf, p-value: 2.07e-05, q-value: 3.50e-07). In a CHEK2-focused analysis with European cases and controls, clear cell RCC patients (n=906 European patients) harbored nominal enrichment of the previously reported low-penetrance CHEK2 variants, p.Ile157Thr (OR:1.84, 95% CI: 1.00-3.36, p-value:0.049) and p.Ser428Phe (OR:5.20, 95% CI: 1.00-26.40, p-value:0.045) while non-clear cell RCC patients (n=295 European patients) exhibited nominal enrichment of CHEK2 LOF germline PVs (OR: 3.51, 95% CI: 1.10-11.10, p-value: 0.033). RCC patients with germline PVs in FH, MET, and VHL exhibited significantly earlier age of cancer onset compared to patients without any germline PVs in CPGs (Mean: 46.0 vs 60.2 years old, Tukey adjusted p-value < 0.0001), and more than half had secondary somatic events affecting the same gene (n=10/15, 66.7%, 95% CI: 38.7-87.0%). Conversely, patients with rare germline PVs in CHEK2 exhibited a similar age of disease onset to patients without any identified germline PVs in CPGs (Mean: 60.1 vs 60.2 years old, Tukey adjusted p-value: 0.99), and only 30.4% of the patients carried secondary somatic events in CHEK2 (n=7/23, 95% CI: 14.1-53.0%). Finally, rare pathogenic germline cryptic splice variants underexplored in RCC were identified in SDHA and TSC1, and rare pathogenic germline CNVs were found in 18 patients, including CNVs in FH, SDHA, and VHL. CONCLUSIONS AND RELEVANCE This systematic analysis supports the existing link between several RCC risk genes and elevated RCC risk manifesting in earlier age of RCC onset. Our analysis calls for caution when assessing the role of germline PVs in CHEK2 due to the burden of founder variants with varying population frequency in different ancestry groups. It also broadens the definition of the RCC germline landscape of pathogenicity to incorporate previously understudied types of germline variants, such as cryptic splice variants and CNVs.
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Affiliation(s)
- Seunghun Han
- Ph.D. Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sabrina Y. Camp
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hoyin Chu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan Collins
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Riaz Gillani
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Boston Children’s Hospital, Boston, MA, USA
| | - Jihye Park
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ziad Bakouny
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Cora A. Ricker
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Brendan Reardon
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nicholas Moore
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
| | - Eric Kofman
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Chris Labaki
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - David Braun
- Center of Molecular and Cellular Oncology, Yale School of Medicine, New Haven, CT, USA
| | - Toni K. Choueiri
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Brigham and Women’s Hospital, Boston, MA, USA
| | - Saud H. AlDubayan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA, USA
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Eliezer M. Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Genomics, Dana-Farber Cancer Institute, Boston, MA, USA
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21
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Parry EM, Leshchiner I, Guièze R, Johnson C, Tausch E, Parikh SA, Lemvigh C, Broséus J, Hergalant S, Messer C, Utro F, Levovitz C, Rhrissorrakrai K, Li L, Rosebrock D, Yin S, Deng S, Slowik K, Jacobs R, Huang T, Li S, Fell G, Redd R, Lin Z, Knisbacher BA, Livitz D, Schneider C, Ruthen N, Elagina L, Taylor-Weiner A, Persaud B, Martinez A, Fernandes SM, Purroy N, Anandappa AJ, Ma J, Hess J, Rassenti LZ, Kipps TJ, Jain N, Wierda W, Cymbalista F, Feugier P, Kay NE, Livak KJ, Danysh BP, Stewart C, Neuberg D, Davids MS, Brown JR, Parida L, Stilgenbauer S, Getz G, Wu CJ. Evolutionary history of transformation from chronic lymphocytic leukemia to Richter syndrome. Nat Med 2023; 29:158-169. [PMID: 36624313 PMCID: PMC10155825 DOI: 10.1038/s41591-022-02113-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 10/28/2022] [Indexed: 01/11/2023]
Abstract
Richter syndrome (RS) arising from chronic lymphocytic leukemia (CLL) exemplifies an aggressive malignancy that develops from an indolent neoplasm. To decipher the genetics underlying this transformation, we computationally deconvoluted admixtures of CLL and RS cells from 52 patients with RS, evaluating paired CLL-RS whole-exome sequencing data. We discovered RS-specific somatic driver mutations (including IRF2BP2, SRSF1, B2M, DNMT3A and CCND3), recurrent copy-number alterations beyond del(9p21)(CDKN2A/B), whole-genome duplication and chromothripsis, which were confirmed in 45 independent RS cases and in an external set of RS whole genomes. Through unsupervised clustering, clonally related RS was largely distinct from diffuse large B cell lymphoma. We distinguished pathways that were dysregulated in RS versus CLL, and detected clonal evolution of transformation at single-cell resolution, identifying intermediate cell states. Our study defines distinct molecular subtypes of RS and highlights cell-free DNA analysis as a potential tool for early diagnosis and monitoring.
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Affiliation(s)
- Erin M Parry
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ignaty Leshchiner
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Romain Guièze
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- CHU de Clermont-Ferrand, Clermont-Ferrand, France
- Université Clermont Auvergne, EA7453 CHELTER, Clermont-Ferrand, France
| | | | - Eugen Tausch
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | | | - Camilla Lemvigh
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Julien Broséus
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risques Environnementaux (N-GERE), Université de Lorraine, Nancy, France
- Université de Lorraine, CHRU-Nancy, service d'hématologie biologique, pôle laboratoires, Nancy, France
| | - Sébastien Hergalant
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risques Environnementaux (N-GERE), Université de Lorraine, Nancy, France
| | - Conor Messer
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Filippo Utro
- IBM Research, Yorktown Heights, New York, NY, USA
| | | | | | - Liang Li
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Shanye Yin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Stephanie Deng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kara Slowik
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Raquel Jacobs
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Teddy Huang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Shuqiang Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Geoff Fell
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Robert Redd
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ziao Lin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Christof Schneider
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Neil Ruthen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - Bria Persaud
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aina Martinez
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stacey M Fernandes
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Noelia Purroy
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Annabelle J Anandappa
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jialin Ma
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Julian Hess
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Laura Z Rassenti
- Moores Cancer Center, Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Thomas J Kipps
- Moores Cancer Center, Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Nitin Jain
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - William Wierda
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Florence Cymbalista
- Laboratoire d'hématologie, Hôpital Avicenne-AP-HP, INSERM U978- Université Sorbonne Paris Nord, Bobigny, France
| | - Pierre Feugier
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risques Environnementaux (N-GERE), Université de Lorraine, Nancy, France
- Université de Lorraine, CHRU Nancy, service d'hématologie clinique, Nancy, France
| | - Neil E Kay
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Kenneth J Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Donna Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew S Davids
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jennifer R Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Laxmi Parida
- IBM Research, Yorktown Heights, New York, NY, USA
| | - Stephan Stilgenbauer
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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22
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Nie M, Ren W, Ye X, Berglund M, Wang X, Fjordén K, Du L, Giannoula Y, Lei D, Su W, Li W, Liu D, Linderoth J, Jiang C, Bao H, Jiang W, Huang H, Hou Y, Zhu S, Enblad G, Jerkeman M, Wu K, Zhang H, Amini R, Li Z, Pan‐Hammarström Q. The dual role of CD70 in B-cell lymphomagenesis. Clin Transl Med 2022; 12:e1118. [PMID: 36471481 PMCID: PMC9722974 DOI: 10.1002/ctm2.1118] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 11/05/2022] [Accepted: 11/10/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND CD70 is a costimulatory molecule that is transiently expressed on a small set of activated lymphocytes and is involved in T-cell-mediated immunity. However, the role of CD70 in B-cell malignancies remains controversial. METHODS We investigated the clinical relevance of CD70 genetic alterations and its protein expression in two diffuse large B-cell lymphoma (DLBCL) cohorts with different ethnic backgrounds. We also performed transcriptomic analysis to explore the role of CD70 alterations in tumour microenvironment. We further tested the blockade of CD70 in combination with PD-L1 inhibitor in a murine lymphoma model. RESULTS We showed that CD70 genetic aberrations occurred more frequently in the Chinese DLBCL cohort (56/233, 24.0%) than in the Swedish cohort (9/84, 10.8%), especially in those with concomitant hepatitis B virus (HBV) infection. The CD70 genetic changes in DLBCL resulted in a reduction/loss of protein expression and/or CD27 binding, which might impair T cell priming and were independently associated with poor overall survival. Paradoxically, we observed that over-expression of CD70 protein was also associated with a poor treatment response, as well as an advanced disease stage and EBV infection. More exhausted CD8+ T cells were furthermore identified in CD70 high-expression DLBCLs. Finally, in a murine lymphoma model, we demonstrated that blocking the CD70/CD27 and/or PD1/PD-L1 interactions could reduce CD70+ lymphoma growth in vivo, by directly impairing the tumour cell proliferation and rescuing the exhausted T cells. CONCLUSIONS Our findings suggest that CD70 can play a role in either tumour suppression or oncogenesis in DLBCL, likely via distinct immune evasion mechanisms, that is, impairing T cell priming or inducing T cell exhaustion. Characterisation of specific dysfunction of CD70 in DLBCL may thus provide opportunities for the development of novel targeted immuno-therapeutic strategies.
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Affiliation(s)
- Man Nie
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Weicheng Ren
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Xiaofei Ye
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Mattias Berglund
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
- Department of ImmunologyGenetics and PathologyUppsala UniversityUppsalaSweden
| | - Xianhuo Wang
- Department of LymphomaNational Clinical Research Center of CancerKey Laboratory of Cancer Prevention and TherapyTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Karin Fjordén
- Department of OncologySkåne University HospitalLundSweden
| | - Likun Du
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Yvonne Giannoula
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Dexin Lei
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Wenjia Su
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Wei Li
- Department of LymphomaNational Clinical Research Center of CancerKey Laboratory of Cancer Prevention and TherapyTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Dongbing Liu
- BGI‐ShenzhenShenzhenChina
- Guangdong Provincial Key Laboratory of Human Disease GenomicsShenzhen Key Laboratory of GenomicsBGI‐ShenzhenShenzhenChina
| | | | - Chengyi Jiang
- Department of HematologyJilin Cancer HospitalChangchunChina
| | - Huijing Bao
- Department of HematologyJilin Cancer HospitalChangchunChina
| | - Wenqi Jiang
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Huiqiang Huang
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | | | | | - Gunilla Enblad
- Department of ImmunologyGenetics and PathologyUppsala UniversityUppsalaSweden
| | - Mats Jerkeman
- Department of OncologySkåne University HospitalLundSweden
| | - Kui Wu
- BGI‐ShenzhenShenzhenChina
- Guangdong Provincial Key Laboratory of Human Disease GenomicsShenzhen Key Laboratory of GenomicsBGI‐ShenzhenShenzhenChina
| | - Huilai Zhang
- Department of LymphomaNational Clinical Research Center of CancerKey Laboratory of Cancer Prevention and TherapyTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Rose‐Marie Amini
- Department of ImmunologyGenetics and PathologyUppsala UniversityUppsalaSweden
| | - Zhi‐Ming Li
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Qiang Pan‐Hammarström
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
- Department of LymphomaNational Clinical Research Center of CancerKey Laboratory of Cancer Prevention and TherapyTianjin Medical University Cancer Institute and HospitalTianjinChina
- BGI‐ShenzhenShenzhenChina
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23
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Tsuji J, Li T, Grinshpun A, Coorens T, Russo D, Anderson L, Rees R, Nardone A, Patterson C, Lennon NJ, Cibulskis C, Leshchiner I, Tayob N, Tolaney SM, Tung N, McDonnell DP, Krop IE, Winer EP, Stewart C, Getz G, Jeselsohn R. Clinical Efficacy and Whole-Exome Sequencing of Liquid Biopsies in a Phase IB/II Study of Bazedoxifene and Palbociclib in Advanced Hormone Receptor-Positive Breast Cancer. Clin Cancer Res 2022; 28:5066-5078. [PMID: 36215125 PMCID: PMC9722539 DOI: 10.1158/1078-0432.ccr-22-2305] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/10/2022] [Accepted: 10/06/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE Sensitivity to endocrine therapy (ET) is critical for the clinical benefit from the combination of palbociclib plus ET in hormone receptor-positive/HER2-negative (HR+/HER2-) advanced breast cancer. Bazedoxifene is a third-generation selective estrogen receptor (ER) modulator and selective ER degrader with activity in preclinical models of endocrine-resistant breast cancer, including models harboring ESR1 mutations. Clinical trials in healthy women showed that bazedoxifene is well tolerated. PATIENTS AND METHODS We conducted a phase Ib/II study of bazedoxifene plus palbociclib in patients with HR+/HER2- advanced breast cancer who progressed on prior ET (N = 36; NCT02448771). RESULTS The study met its primary endpoint, with a clinical benefit rate of 33.3%, and the safety profile was consistent with what has previously been seen with palbociclib monotherapy. The median progression-free survival (PFS) was 3.6 months [95% confidence interval (CI), 2.0-7.2]. An activating PIK3CA mutation at baseline was associated with a shorter PFS (HR = 4.4; 95% CI, 1.5-13; P = 0.0026), but activating ESR1 mutations did not impact the PFS. Longitudinal plasma circulating tumor DNA whole-exome sequencing (WES; N = 68 plasma samples) provided an overview of the tumor heterogeneity and the subclonal genetic evolution, and identified actionable mutations acquired during treatment. CONCLUSIONS The combination of palbociclib and bazedoxifene has clinical efficacy and an acceptable safety profile in a heavily pretreated patient population with advanced HR+/HER2- breast cancer. These results merit continued investigation of bazedoxifene in breast cancer.
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Affiliation(s)
- Junko Tsuji
- Broad Institute of MIT and Harvard; Cambridge, Massachusetts, USA
| | - Tianyu Li
- Department of Data Science, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
| | - Albert Grinshpun
- Department of Medical Oncology, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Tim Coorens
- Broad Institute of MIT and Harvard; Cambridge, Massachusetts, USA
| | - Douglas Russo
- Department of Data Science, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
| | - Leilani Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center; Boston, Massachusetts, USA
| | - Rebecca Rees
- Department of Medical Oncology, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center; Boston, Massachusetts, USA
| | - Agostina Nardone
- Department of Medical Oncology, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
| | | | - Niall J. Lennon
- Broad Institute of MIT and Harvard; Cambridge, Massachusetts, USA
| | - Carrie Cibulskis
- Broad Institute of MIT and Harvard; Cambridge, Massachusetts, USA
| | | | - Nabihah Tayob
- Department of Data Science, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Sara M. Tolaney
- Department of Medical Oncology, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center; Boston, Massachusetts, USA
| | - Nadine Tung
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Medical Oncology, Beth Israel Deaconess Medical Center; Boston, Massachusetts, USA
| | - Donald P. McDonnell
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine; Durham, NC, USA
| | - Ian E. Krop
- Department of Medical Oncology, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center; Boston, Massachusetts, USA
| | - Eric P. Winer
- Department of Medical Oncology, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center; Boston, Massachusetts, USA
| | - Chip Stewart
- Broad Institute of MIT and Harvard; Cambridge, Massachusetts, USA
| | - Gad Getz
- Broad Institute of MIT and Harvard; Cambridge, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Massachusetts General Hospital Cancer Center and Department of Pathology, Massachusetts General Hospital; Boston, Massachusetts, USA
| | - Rinath Jeselsohn
- Department of Medical Oncology, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute; Boston, Massachusetts, USA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center; Boston, Massachusetts, USA
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24
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Sklavenitis-Pistofidis R, Aranha MP, Redd RA, Baginska J, Haradhvala NJ, Hallisey M, Dutta AK, Savell A, Varmeh S, Heilpern-Mallory D, Ujwary S, Zavidij O, Aguet F, Su NK, Lightbody ED, Bustoros M, Tahri S, Mouhieddine TH, Wu T, Flechon L, Anand S, Rosenblatt JM, Zonder J, Vredenburgh JJ, Boruchov A, Bhutani M, Usmani SZ, Matous J, Yee AJ, Jakubowiak A, Laubach J, Manier S, Nadeem O, Richardson P, Badros AZ, Mateos MV, Trippa L, Getz G, Ghobrial IM. Immune biomarkers of response to immunotherapy in patients with high-risk smoldering myeloma. Cancer Cell 2022; 40:1358-1373.e8. [PMID: 36379208 PMCID: PMC10019228 DOI: 10.1016/j.ccell.2022.10.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 08/03/2022] [Accepted: 10/18/2022] [Indexed: 11/15/2022]
Abstract
Patients with smoldering multiple myeloma (SMM) are observed until progression, but early treatment may improve outcomes. We conducted a phase II trial of elotuzumab, lenalidomide, and dexamethasone (EloLenDex) in patients with high-risk SMM and performed single-cell RNA and T cell receptor (TCR) sequencing on 149 bone marrow (BM) and peripheral blood (PB) samples from patients and healthy donors (HDs). We find that early treatment with EloLenDex is safe and effective and provide a comprehensive characterization of alterations in immune cell composition and TCR repertoire diversity in patients. We show that the similarity of a patient's immune cell composition to that of HDs may have prognostic relevance at diagnosis and after treatment and that the abundance of granzyme K (GZMK)+ CD8+ effector memory T (TEM) cells may be associated with treatment response. Last, we uncover similarities between immune alterations observed in the BM and PB, suggesting that PB-based immune profiling may have diagnostic and prognostic utility.
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Affiliation(s)
- Romanos Sklavenitis-Pistofidis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Michelle P Aranha
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Robert A Redd
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Joanna Baginska
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Nicholas J Haradhvala
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA 02138, USA
| | - Margaret Hallisey
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Ankit K Dutta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alexandra Savell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Shohreh Varmeh
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniel Heilpern-Mallory
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sylvia Ujwary
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Oksana Zavidij
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Francois Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Nang K Su
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Elizabeth D Lightbody
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Mark Bustoros
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sabrin Tahri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tarek H Mouhieddine
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ting Wu
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Lea Flechon
- INSERM UMRS1277, CNRS UMR9020, Lille University, 59000 Lille, France
| | - Shankara Anand
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Jeffrey Zonder
- Barbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA
| | | | - Adam Boruchov
- St. Francis Hospital and Cancer Center, Hartford, CT 06105, USA
| | | | | | | | - Andrew J Yee
- Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA
| | | | - Jacob Laubach
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Salomon Manier
- INSERM UMRS1277, CNRS UMR9020, Lille University, 59000 Lille, France; Department of Hematology, CHU Lille, Lille University, 59000 Lille, France
| | - Omar Nadeem
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Paul Richardson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Ashraf Z Badros
- University of Maryland Marlene and Stewart Greenebaum Cancer Center, Baltimore, MD 21201, USA
| | - Maria-Victoria Mateos
- University Hospital of Salamanca - Instituto de Investigación Biomédica de Salamanca, 37007 Salamanca, Spain
| | - Lorenzo Trippa
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Gad Getz
- Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA; Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA.
| | - Irene M Ghobrial
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Center for Prevention of Progression (CPOP), Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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25
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Knisbacher BA, Lin Z, Hahn CK, Nadeu F, Duran-Ferrer M, Stevenson KE, Tausch E, Delgado J, Barbera-Mourelle A, Taylor-Weiner A, Bousquets-Muñoz P, Diaz-Navarro A, Dunford A, Anand S, Kretzmer H, Gutierrez-Abril J, López-Tamargo S, Fernandes SM, Sun C, Sivina M, Rassenti LZ, Schneider C, Li S, Parida L, Meissner A, Aguet F, Burger JA, Wiestner A, Kipps TJ, Brown JR, Hallek M, Stewart C, Neuberg DS, Martín-Subero JI, Puente XS, Stilgenbauer S, Wu CJ, Campo E, Getz G. Molecular map of chronic lymphocytic leukemia and its impact on outcome. Nat Genet 2022; 54:1664-1674. [PMID: 35927489 PMCID: PMC10084830 DOI: 10.1038/s41588-022-01140-w] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/21/2022] [Indexed: 01/02/2023]
Abstract
Recent advances in cancer characterization have consistently revealed marked heterogeneity, impeding the completion of integrated molecular and clinical maps for each malignancy. Here, we focus on chronic lymphocytic leukemia (CLL), a B cell neoplasm with variable natural history that is conventionally categorized into two subtypes distinguished by extent of somatic mutations in the heavy-chain variable region of immunoglobulin genes (IGHV). To build the 'CLL map,' we integrated genomic, transcriptomic and epigenomic data from 1,148 patients. We identified 202 candidate genetic drivers of CLL (109 new) and refined the characterization of IGHV subtypes, which revealed distinct genomic landscapes and leukemogenic trajectories. Discovery of new gene expression subtypes further subcategorized this neoplasm and proved to be independent prognostic factors. Clinical outcomes were associated with a combination of genetic, epigenetic and gene expression features, further advancing our prognostic paradigm. Overall, this work reveals fresh insights into CLL oncogenesis and prognostication.
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Affiliation(s)
| | - Ziao Lin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard University, Cambridge, MA, USA
| | - Cynthia K Hahn
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ferran Nadeu
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Martí Duran-Ferrer
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | | | - Eugen Tausch
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Julio Delgado
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Servicio de Hematología, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Alex Barbera-Mourelle
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
| | | | - Pablo Bousquets-Muñoz
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Ander Diaz-Navarro
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | | | | | - Helene Kretzmer
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Jesus Gutierrez-Abril
- Computational Oncology Service, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sara López-Tamargo
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | - Stacey M Fernandes
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Clare Sun
- Laboratory of Lymphoid Malignancies, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mariela Sivina
- Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Laura Z Rassenti
- Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
| | | | - Shuqiang Li
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Alexander Meissner
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | | | - Jan A Burger
- Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Adrian Wiestner
- Laboratory of Lymphoid Malignancies, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas J Kipps
- Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
| | - Jennifer R Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michael Hallek
- Center for Molecular Medicine, Cologne, Germany
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf and German CLL Study Group, University of Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Donna S Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - José I Martín-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Xose S Puente
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | | | - Catherine J Wu
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
- Hematopathology Section, Laboratory of Pathology, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
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26
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A patient-driven clinicogenomic partnership for metastatic prostate cancer. CELL GENOMICS 2022; 2. [PMID: 36177448 PMCID: PMC9518748 DOI: 10.1016/j.xgen.2022.100169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Molecular profiling studies have enabled discoveries for metastatic prostate cancer (MPC) but have predominantly occurred in academic medical institutions and involved non-representative patient populations. We established the Metastatic Prostate Cancer Project (MPCproject, mpcproject.org), a patient-partnered initiative to involve patients with MPC living anywhere in the US and Canada in molecular research. Here, we present results from our partnership with the first 706 MPCproject participants. While 41% of patient partners live in rural, physician-shortage, or medically underserved areas, the MPCproject has not yet achieved racial diversity, a disparity that demands new initiatives detailed herein. Among molecular data from 333 patient partners (572 samples), exome sequencing of 63 tumor and 19 cell-free DNA (cfDNA) samples recapitulated known findings in MPC, while inexpensive ultra-low-coverage sequencing of 318 cfDNA samples revealed clinically relevant AR amplifications. This study illustrates the power of a growing, longitudinal partnership with patients to generate a more representative understanding of MPC. Crowdis et al. describe the MPCproject (mpcproject.org), a decentralized initiative to partner with patients with metastatic prostate cancer in the US and Canada to accelerate molecular research. The authors describe clinicogenomic results from the first 706 geographically diverse patient partners and lay the foundation for sustained and inclusive partnership in this disease.
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27
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Tissue-resident memory and circulating T cells are early responders to pre-surgical cancer immunotherapy. Cell 2022; 185:2918-2935.e29. [PMID: 35803260 PMCID: PMC9508682 DOI: 10.1016/j.cell.2022.06.018] [Citation(s) in RCA: 127] [Impact Index Per Article: 63.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 04/26/2022] [Accepted: 06/09/2022] [Indexed: 12/16/2022]
Abstract
Neoadjuvant immune checkpoint blockade has shown promising clinical activity. Here, we characterized early kinetics in tumor-infiltrating and circulating immune cells in oral cancer patients treated with neoadjuvant anti-PD-1 or anti-PD-1/CTLA-4 in a clinical trial (NCT02919683). Tumor-infiltrating CD8 T cells that clonally expanded during immunotherapy expressed elevated tissue-resident memory and cytotoxicity programs, which were already active prior to therapy, supporting the capacity for rapid response. Systematic target discovery revealed that treatment-expanded tumor T cell clones in responding patients recognized several self-antigens, including the cancer-specific antigen MAGEA1. Treatment also induced a systemic immune response characterized by expansion of activated T cells enriched for tumor-infiltrating T cell clonotypes, including both pre-existing and emergent clonotypes undetectable prior to therapy. The frequency of activated blood CD8 T cells, notably pre-treatment PD-1-positive KLRG1-negative T cells, was strongly associated with intra-tumoral pathological response. These results demonstrate how neoadjuvant checkpoint blockade induces local and systemic tumor immunity.
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28
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Bustoros M, Anand S, Sklavenitis-Pistofidis R, Redd R, Boyle EM, Zhitomirsky B, Dunford AJ, Tai YT, Chavda SJ, Boehner C, Neuse CJ, Rahmat M, Dutta A, Casneuf T, Verona R, Kastritis E, Trippa L, Stewart C, Walker BA, Davies FE, Dimopoulos MA, Bergsagel PL, Yong K, Morgan GJ, Aguet F, Getz G, Ghobrial IM. Genetic subtypes of smoldering multiple myeloma are associated with distinct pathogenic phenotypes and clinical outcomes. Nat Commun 2022; 13:3449. [PMID: 35705541 PMCID: PMC9200804 DOI: 10.1038/s41467-022-30694-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 05/13/2022] [Indexed: 12/12/2022] Open
Abstract
Smoldering multiple myeloma (SMM) is a precursor condition of multiple myeloma (MM) with significant heterogeneity in disease progression. Existing clinical models of progression risk do not fully capture this heterogeneity. Here we integrate 42 genetic alterations from 214 SMM patients using unsupervised binary matrix factorization (BMF) clustering and identify six distinct genetic subtypes. These subtypes are differentially associated with established MM-related RNA signatures, oncogenic and immune transcriptional profiles, and evolving clinical biomarkers. Three genetic subtypes are associated with increased risk of progression to active MM in both the primary and validation cohorts, indicating they can be used to better predict high and low-risk patients within the currently used clinical risk stratification models.
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Affiliation(s)
- Mark Bustoros
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
- Division of Hematology & Medical Oncology, Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Shankara Anand
- Broad Institute of MIT & Harvard, Cambridge, MA, USA
- Boston University School of Medicine, Boston, MA, USA
| | | | - Robert Redd
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Eileen M Boyle
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | | | | | - Yu-Tzu Tai
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
| | - Selina J Chavda
- Division of Hematology, University College London, London, UK
| | - Cody Boehner
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
| | - Carl Jannes Neuse
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
- University of Münster Medical School, Münster, Germany
| | - Mahshid Rahmat
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
| | - Ankit Dutta
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA
| | | | - Raluca Verona
- Janssen Research and Development, Spring House, PA, USA
| | - Efstathis Kastritis
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Lorenzo Trippa
- Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Chip Stewart
- Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - Brian A Walker
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University, Indianapolis, IN, USA
| | - Faith E Davies
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | | | | | - Kwee Yong
- Division of Hematology, University College London, London, UK
| | - Gareth J Morgan
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | | | - Gad Getz
- Broad Institute of MIT & Harvard, Cambridge, MA, USA.
- Department of Pathology, Massachusetts General Hospital Cancer Center, Boston, MA, USA.
| | - Irene M Ghobrial
- Medical Oncology, Dana-Farber Cancer Center, Boston, MA, USA.
- Broad Institute of MIT & Harvard, Cambridge, MA, USA.
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29
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Abstract
Distilling biologically meaningful information from cancer genome sequencing data requires comprehensive identification of somatic alterations using rigorous computational methods. As the amount and complexity of sequencing data have increased, so has the number of tools for analysing them. Here, we describe the main steps involved in the bioinformatic analysis of cancer genomes, review key algorithmic developments and highlight popular tools and emerging technologies. These tools include those that identify point mutations, copy number alterations, structural variations and mutational signatures in cancer genomes. We also discuss issues in experimental design, the strengths and limitations of sequencing modalities and methodological challenges for the future.
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30
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Borden ES, Buetow KH, Wilson MA, Hastings KT. Cancer Neoantigens: Challenges and Future Directions for Prediction, Prioritization, and Validation. Front Oncol 2022; 12:836821. [PMID: 35311072 PMCID: PMC8929516 DOI: 10.3389/fonc.2022.836821] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/07/2022] [Indexed: 12/16/2022] Open
Abstract
Prioritization of immunogenic neoantigens is key to enhancing cancer immunotherapy through the development of personalized vaccines, adoptive T cell therapy, and the prediction of response to immune checkpoint inhibition. Neoantigens are tumor-specific proteins that allow the immune system to recognize and destroy a tumor. Cancer immunotherapies, such as personalized cancer vaccines, adoptive T cell therapy, and immune checkpoint inhibition, rely on an understanding of the patient-specific neoantigen profile in order to guide personalized therapeutic strategies. Genomic approaches to predicting and prioritizing immunogenic neoantigens are rapidly expanding, raising new opportunities to advance these tools and enhance their clinical relevance. Predicting neoantigens requires acquisition of high-quality samples and sequencing data, followed by variant calling and variant annotation. Subsequently, prioritizing which of these neoantigens may elicit a tumor-specific immune response requires application and integration of tools to predict the expression, processing, binding, and recognition potentials of the neoantigen. Finally, improvement of the computational tools is held in constant tension with the availability of datasets with validated immunogenic neoantigens. The goal of this review article is to summarize the current knowledge and limitations in neoantigen prediction, prioritization, and validation and propose future directions that will improve personalized cancer treatment.
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Affiliation(s)
- Elizabeth S Borden
- Department of Basic Medical Sciences, College of Medicine-Phoenix, University of Arizona, Phoenix, AZ, United States.,Department of Research and Internal Medicine (Dermatology), Phoenix Veterans Affairs Health Care System, Phoenix, AZ, United States
| | - Kenneth H Buetow
- School of Life Sciences, Arizona State University, Tempe, AZ, United States.,Center for Evolution and Medicine, Arizona State University, Tempe, AZ, United States
| | - Melissa A Wilson
- School of Life Sciences, Arizona State University, Tempe, AZ, United States.,Center for Evolution and Medicine, Arizona State University, Tempe, AZ, United States
| | - Karen Taraszka Hastings
- Department of Basic Medical Sciences, College of Medicine-Phoenix, University of Arizona, Phoenix, AZ, United States.,Department of Research and Internal Medicine (Dermatology), Phoenix Veterans Affairs Health Care System, Phoenix, AZ, United States
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31
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Freeman SS, Sade-Feldman M, Kim J, Stewart C, Gonye AL, Ravi A, Arniella MB, Gushterova I, LaSalle TJ, Blaum EM, Yizhak K, Frederick DT, Sharova T, Leshchiner I, Elagina L, Spiro OG, Livitz D, Rosebrock D, Aguet F, Carrot-Zhang J, Ha G, Lin Z, Chen JH, Barzily-Rokni M, Hammond MR, Vitzthum von Eckstaedt HC, Blackmon SM, Jiao YJ, Gabriel S, Lawrence DP, Duncan LM, Stemmer-Rachamimov AO, Wargo JA, Flaherty KT, Sullivan RJ, Boland GM, Meyerson M, Getz G, Hacohen N. Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma. Cell Rep Med 2022; 3:100500. [PMID: 35243413 PMCID: PMC8861826 DOI: 10.1016/j.xcrm.2021.100500] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/26/2021] [Accepted: 12/20/2021] [Indexed: 12/20/2022]
Abstract
Immune checkpoint blockade (CPB) improves melanoma outcomes, but many patients still do not respond. Tumor mutational burden (TMB) and tumor-infiltrating T cells are associated with response, and integrative models improve survival prediction. However, integrating immune/tumor-intrinsic features using data from a single assay (DNA/RNA) remains underexplored. Here, we analyze whole-exome and bulk RNA sequencing of tumors from new and published cohorts of 189 and 178 patients with melanoma receiving CPB, respectively. Using DNA, we calculate T cell and B cell burdens (TCB/BCB) from rearranged TCR/Ig sequences and find that patients with TMBhigh and TCBhigh or BCBhigh have improved outcomes compared to other patients. By combining pairs of immune- and tumor-expressed genes, we identify three gene pairs associated with response and survival, which validate in independent cohorts. The top model includes lymphocyte-expressed MAP4K1 and tumor-expressed TBX3. Overall, RNA or DNA-based models combining immune and tumor measures improve predictions of melanoma CPB outcomes.
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Affiliation(s)
- Samuel S. Freeman
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Moshe Sade-Feldman
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jaegil Kim
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Anna L.K. Gonye
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Arvind Ravi
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Irena Gushterova
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Thomas J. LaSalle
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emily M. Blaum
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Keren Yizhak
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 2611001, Israel
| | - Dennie T. Frederick
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Tatyana Sharova
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ignaty Leshchiner
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Oliver G. Spiro
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Dimitri Livitz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jian Carrot-Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Gavin Ha
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle 98109, WA, USA
| | - Ziao Lin
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard University, Cambridge MA, 02138
| | - Jonathan H. Chen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Pathology, Massachusetts General Hospital, Boston 02114, MA, USA
| | - Michal Barzily-Rokni
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Marc R. Hammond
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Shauna M. Blackmon
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Yunxin J. Jiao
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Donald P. Lawrence
- Department of Medical Oncology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lyn M. Duncan
- Department of Pathology, Massachusetts General Hospital, Boston 02114, MA, USA
| | | | - Jennifer A. Wargo
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Keith T. Flaherty
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ryan J. Sullivan
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Genevieve M. Boland
- Department of Surgery, Massachusetts General Hospital, Boston 02115, MA, USA
| | - Matthew Meyerson
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Genetics, Harvard Medical School, Boston 02115, MA, USA
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard University, Cambridge MA, 02138
- Department of Pathology, Harvard Medical School, Boston 02115, MA, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston 02115, MA, USA
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32
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Zhao X, Hu AC, Wang S, Wang X. Calling small variants using universality with Bayes-factor-adjusted odds ratios. Brief Bioinform 2021; 23:6427501. [PMID: 34791010 DOI: 10.1093/bib/bbab458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/26/2021] [Accepted: 10/07/2021] [Indexed: 11/12/2022] Open
Abstract
The application of next-generation sequencing in research and particularly in clinical routine requires highly accurate variant calling. Here we describe UVC, a method for calling small variants of germline or somatic origin. By unifying opposite assumptions with sublation, we discovered the following two empirical laws to improve variant calling: allele fraction at high sequencing depth is inversely proportional to the cubic root of variant-calling error rate, and odds ratios adjusted with Bayes factors can model various sequencing biases. UVC outperformed other variant callers on the GIAB germline truth sets, 192 scenarios of in silico mixtures simulating 192 combinations of tumor/normal sequencing depths and tumor/normal purities, the GIAB somatic truth sets derived from physical mixture, and the SEQC2 somatic reference sets derived from the breast-cancer cell-line HCC1395. UVC achieved 100% concordance with the manual review conducted by multiple independent researchers on a Qiagen 71-gene-panel dataset derived from 16 patients with colon adenoma. UVC outperformed other unique molecular identifier (UMI)-aware variant callers on the datasets used for publishing these variant callers. Performance was measured with sensitivity-specificity trade off for called variants. The improved variant calls generated by UVC from previously published UMI-based sequencing data provided additional insight about DNA damage repair. UVC is open-sourced under the BSD 3-Clause license at https://github.com/genetronhealth/uvc and quay.io/genetronhealth/gcc-6-3-0-uvc-0-6-0-441a694.
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Affiliation(s)
- Xiaofei Zhao
- Genetron Health (Beijing) Co. Ltd, Beijing 102208, China
| | - Allison C Hu
- Genetron Health (Beijing) Co. Ltd, Beijing 102208, China
| | - Sizhen Wang
- Genetron Health (Beijing) Co. Ltd, Beijing 102208, China
| | - Xiaoyue Wang
- State Key Laboratory of Medical Molecular Biology, Center for Bioinformatics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
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33
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Cejas P, Xie Y, Font-Tello A, Lim K, Syamala S, Qiu X, Tewari AK, Shah N, Nguyen HM, Patel RA, Brown L, Coleman I, Hackeng WM, Brosens L, Dreijerink KMA, Ellis L, Alaiwi SA, Seo JH, Baca S, Beltran H, Khani F, Pomerantz M, Dall'Agnese A, Crowdis J, Van Allen EM, Bellmunt J, Morrisey C, Nelson PS, DeCaprio J, Farago A, Dyson N, Drapkin B, Liu XS, Freedman M, Haffner MC, Corey E, Brown M, Long HW. Subtype heterogeneity and epigenetic convergence in neuroendocrine prostate cancer. Nat Commun 2021; 12:5775. [PMID: 34599169 PMCID: PMC8486778 DOI: 10.1038/s41467-021-26042-z] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 09/07/2021] [Indexed: 12/30/2022] Open
Abstract
Neuroendocrine carcinomas (NEC) are tumors expressing markers of neuronal differentiation that can arise at different anatomic sites but have strong histological and clinical similarities. Here we report the chromatin landscapes of a range of human NECs and show convergence to the activation of a common epigenetic program. With a particular focus on treatment emergent neuroendocrine prostate cancer (NEPC), we analyze cell lines, patient-derived xenograft (PDX) models and human clinical samples to show the existence of two distinct NEPC subtypes based on the expression of the neuronal transcription factors ASCL1 and NEUROD1. While in cell lines and PDX models these subtypes are mutually exclusive, single-cell analysis of human clinical samples exhibits a more complex tumor structure with subtypes coexisting as separate sub-populations within the same tumor. These tumor sub-populations differ genetically and epigenetically contributing to intra- and inter-tumoral heterogeneity in human metastases. Overall, our results provide a deeper understanding of the shared clinicopathological characteristics shown by NECs. Furthermore, the intratumoral heterogeneity of human NEPCs suggests the requirement of simultaneous targeting of coexisting tumor populations as a therapeutic strategy. Neuroendocrine carcinomas (NECs) arise from different anatomic sites, but have similar histological and clinical features. Here, the authors show that the epigenetic landscape of a range of NECs converges towards a common epigenetic state, while distinct subtypes occur within neuroendocrine prostate cancer contributing to intratumor heterogeneity in clinical samples.
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Affiliation(s)
- Paloma Cejas
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. .,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA. .,Translational Oncology Laboratory, Hospital La Paz Institute for Health Research (IdiPAZ) and CIBERONC, La Paz University Hospital, Madrid, Spain.
| | - Yingtian Xie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alba Font-Tello
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Klothilda Lim
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sudeepa Syamala
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Xintao Qiu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alok K Tewari
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Neel Shah
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Holly M Nguyen
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Radhika A Patel
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lisha Brown
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Ilsa Coleman
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Wenzel M Hackeng
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Lodewijk Brosens
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Leigh Ellis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Sarah Abou Alaiwi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Sylvan Baca
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Himisha Beltran
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Francesca Khani
- Weill Cornell Medical Center, Department of Pathology and Laboratory Medicine, New York Presbyterian Hospital, New York, NY, USA
| | - Mark Pomerantz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | | | - Jett Crowdis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joaquim Bellmunt
- Beth Israel Deaconess Medical Center and PSMAR-IMIM Lab. Harvard Medical School, Boston, Massachusetts, USA
| | - Colm Morrisey
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Peter S Nelson
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - James DeCaprio
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Anna Farago
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Nicholas Dyson
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Benjamin Drapkin
- Nancy B. and Jake L. Hamon Center for Therapeutic Oncology Research, Dallas, TX, USA.,Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - X Shirley Liu
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Data Science, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Matthew Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michael C Haffner
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Division of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Department of Pathology, University of Washington, Seattle, WA, USA
| | - Eva Corey
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Myles Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. .,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Henry W Long
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. .,Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA.
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34
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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] [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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35
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Keenan TE, Guerriero JL, Barroso-Sousa R, Li T, O'Meara T, Giobbie-Hurder A, Tayob N, Hu J, Severgnini M, Agudo J, Vaz-Luis I, Anderson L, Attaya V, Park J, Conway J, He MX, Reardon B, Shannon E, Wulf G, Spring LM, Jeselsohn R, Krop I, Lin NU, Partridge A, Winer EP, Mittendorf EA, Liu D, Van Allen EM, Tolaney SM. Molecular correlates of response to eribulin and pembrolizumab in hormone receptor-positive metastatic breast cancer. Nat Commun 2021; 12:5563. [PMID: 34548479 PMCID: PMC8455578 DOI: 10.1038/s41467-021-25769-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 08/31/2021] [Indexed: 02/06/2023] Open
Abstract
Immune checkpoint inhibitors (ICIs) have minimal therapeutic effect in hormone receptor-positive (HR+ ) breast cancer. We present final overall survival (OS) results (n = 88) from a randomized phase 2 trial of eribulin ± pembrolizumab for patients with metastatic HR+ breast cancer, computationally dissect genomic and/or transcriptomic data from pre-treatment tumors (n = 52) for molecular associations with efficacy, and identify cytokine changes differentiating response and ICI-related toxicity (n = 58). Despite no improvement in OS with combination therapy (hazard ratio 0.95, 95% CI 0.59-1.55, p = 0.84), immune infiltration and antigen presentation distinguished responding tumors, while tumor heterogeneity and estrogen signaling independently associated with resistance. Moreover, patients with ICI-related toxicity had lower levels of immunoregulatory cytokines. Broadly, we establish a framework for ICI response in HR+ breast cancer that warrants diagnostic and therapeutic validation. ClinicalTrials.gov Registration: NCT03051659.
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Affiliation(s)
- Tanya E Keenan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Jennifer L Guerriero
- Breast Tumor Immunology Laboratory, Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA
- Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
| | - Romualdo Barroso-Sousa
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
- Oncology Center, Hospital Sírio-Libanês, Brasília, Brazil
| | - Tianyu Li
- Division of Biostatistics, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Tess O'Meara
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Anita Giobbie-Hurder
- Division of Biostatistics, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Nabihah Tayob
- Division of Biostatistics, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Jiani Hu
- Division of Biostatistics, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Mariano Severgnini
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Judith Agudo
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ines Vaz-Luis
- Medical Oncology Department, INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Institut Gustave Roussy, Villejuif, France
| | - Leilani Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Victoria Attaya
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Jihye Park
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Jake Conway
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Meng Xiao He
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Harvard Graduate Program in Biophysics, Boston, MA, USA
| | - Brendan Reardon
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Erin Shannon
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Gerburg Wulf
- Hematology/Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Laura M Spring
- Breast Cancer, Cancer Center, Massachusetts General Hospital, Boston, MA, USA
| | - Rinath Jeselsohn
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Ian Krop
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Nancy U Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Ann Partridge
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Eric P Winer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Elizabeth A Mittendorf
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
- Breast Tumor Immunology Laboratory, Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA
- Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA
| | - David Liu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
| | - Sara M Tolaney
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA.
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36
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Wu CH, Hsieh CS, Chang YC, Huang CC, Yeh HT, Hou MF, Chung YC, Tu SH, Chang KJ, Chattopadhyay A, Lai LC, Lu TP, Li YH, Tsai MH, Chuang EY. Differential whole-genome doubling and homologous recombination deficiencies across breast cancer subtypes from the Taiwanese population. Commun Biol 2021; 4:1052. [PMID: 34504292 PMCID: PMC8429690 DOI: 10.1038/s42003-021-02597-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 08/05/2021] [Indexed: 12/11/2022] Open
Abstract
Whole-genome doubling (WGD) is an early macro-evolutionary event in tumorigenesis, involving the doubling of an entire chromosome complement. However, its impact on breast cancer subtypes remains unclear. Here, we performed a comprehensive and quantitative analysis of WGD and its influence on breast cancer subtypes in patients from Taiwan and consequently highlight the genomic association between WGD and homologous recombination deficiency (HRD). A higher manifestation of WGD was reported in triple-negative breast cancer, conferring high chromosomal instability (CIN), while HER2 + tumors exhibited early WGD events, with widely varied CIN levels, compared to luminal-type tumors. An association of higher activity of de novo indel signature 2 with WGD and HRD in Taiwanese breast cancer patients was reported. A control test between WGD and pseudo non-WGD samples was further employed to support this finding. The study provides a better comprehension of tumorigenesis in breast cancer subtypes, thus assisting in personalized treatment. Wu, Hsieh et al. analyze Taiwanese breast cancer patient samples using whole-exome sequencing to examine the heterogeneity and homogeneity in the timing and dependencies of somatic aberrations across disease subtypes. The authors focus on somatic alterations and related features that correlate with whole genome doubling, including homologous recombination deficiencies.
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Affiliation(s)
- Chia-Hsin Wu
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
| | - Chia-Shan Hsieh
- Genome and Systems Biology Degree Program, National Taiwan University, Taipei, Taiwan
| | | | - Chi-Cheng Huang
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Hsien-Tang Yeh
- Department of Surgery, Lotung Poh-Ai Hospital, Yilan County, Taiwan
| | - Ming-Feng Hou
- Division of Breast Surgery, Department of Surgery, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yuan-Chiang Chung
- Department of Breast Surgery, Dajia Branch, Kuang Tien General Hospital, Taichung, Taiwan
| | - Shih-Hsin Tu
- Department of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - King-Jen Chang
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Amrita Chattopadhyay
- Bioinformatics and Biostatistics Core, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan
| | - Liang-Chuan Lai
- Graduate Institute of Physiology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tzu-Pin Lu
- Department of Public Health, National Taiwan University, Taipei, Taiwan
| | - Yung-Hua Li
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
| | - Mong-Hsun Tsai
- Institute of Biotechnology, National Taiwan University, Taipei, Taiwan.
| | - Eric Y Chuang
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan. .,Bioinformatics and Biostatistics Core, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan. .,Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan. .,Master Program for Biomedical Engineering, China Medical University, Taichung, Taiwan.
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37
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Tewari AK, Cheung ATM, Crowdis J, Conway JR, Camp SY, Wankowicz SA, Livitz DG, Park J, Lis RT, Bosma-Moody A, He MX, AlDubayan SH, Zhang Z, McKay RR, Leshchiner I, Brown M, Balk SP, Getz G, Taplin ME, Van Allen EM. Molecular features of exceptional response to neoadjuvant anti-androgen therapy in high-risk localized prostate cancer. Cell Rep 2021; 36:109665. [PMID: 34496240 DOI: 10.1016/j.celrep.2021.109665] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 05/17/2021] [Accepted: 08/13/2021] [Indexed: 12/13/2022] Open
Abstract
High-risk localized prostate cancer (HRLPC) is associated with a substantial risk of recurrence and disease mortality. Recent clinical trials have shown that intensifying anti-androgen therapies administered before prostatectomy can induce pathologic complete responses or minimal residual disease, called exceptional response, although the molecular determinants of these clinical outcomes are largely unknown. Here, we perform whole-exome and transcriptome sequencing on pre-treatment multi-regional tumor biopsies from exceptional responders (ERs) and non-responders (NRs, pathologic T3 or lymph node-positive disease) to intensive neoadjuvant anti-androgen therapies. Clonal SPOP mutation and SPOPL copy-number loss are exclusively observed in ERs, while clonal TP53 mutation and PTEN copy-number loss are exclusively observed in NRs. Transcriptional programs involving androgen signaling and TGF-β signaling are enriched in ERs and NRs, respectively. These findings may guide prospective validation studies of these molecular features in large HRLPC clinical cohorts treated with neoadjuvant anti-androgens to improve patient stratification.
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Affiliation(s)
- Alok K Tewari
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alexander T M Cheung
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jett Crowdis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jake R Conway
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Graduate Program in Bioinformatics and Integrative Genomics, Boston, MA 02115, USA
| | - Sabrina Y Camp
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Stephanie A Wankowicz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Jihye Park
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Rosina T Lis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Alice Bosma-Moody
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Meng Xiao He
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Graduate Program in Biophysics, Boston, MA 02115, USA
| | - Saud H AlDubayan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Zhenwei Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Rana R McKay
- Division of Hematology/Oncology, University of California San Diego, San Diego, CA 92037, USA
| | | | - Myles Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Steven P Balk
- Division of Cancer Biology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Mary-Ellen Taplin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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38
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Barroso-Sousa R, Keenan TE, Li T, Tayob N, Trippa L, Pastorello RG, Richardson Iii ET, Dillon D, Amoozgar Z, Overmoyer B, Schnitt SJ, Winer EP, Mittendorf EA, Van Allen E, Duda DG, Tolaney SM. Nivolumab in combination with cabozantinib for metastatic triple-negative breast cancer: a phase II and biomarker study. NPJ Breast Cancer 2021; 7:110. [PMID: 34433812 PMCID: PMC8387440 DOI: 10.1038/s41523-021-00287-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 05/27/2021] [Indexed: 02/07/2023] Open
Abstract
This single-arm phase II study investigated the efficacy and safety of cabozantinib combined with nivolumab in metastatic triple-negative breast cancer (mTNBC). The primary endpoint was objective response rate (ORR) by RECIST 1.1. Biopsies at baseline and after cycle 1 were analyzed for tumor-infiltrating lymphocytes (TILs), PD-L1, and whole-exome and transcriptome sequencing. Only 1/18 patients achieved a partial response (ORR 6%), and the trial was stopped early. Toxicity led to cabozantinib dose reduction in 50% of patients. One patient had a PD-L1-positive tumor, and three patients had TILs > 10%. The responding patient had a PD-L1-negative tumor with low tumor mutational burden but high TILs and enriched immune gene expression. High pretreatment levels of plasma immunosuppressive cytokines, chemokines, and immune checkpoint molecules were associated with rapid progression. Although this study did not meet its primary endpoint, immunostaining, genomic, and proteomic studies indicated a high degree of tumor immunosuppression in this mTNBC cohort.
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Affiliation(s)
- Romualdo Barroso-Sousa
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
- Oncology Center, Hospital Sírio-Libanês, Brasilia, Brazil
| | - Tanya E Keenan
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Tianyu Li
- Biostatistics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nabihah Tayob
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Lorenzo Trippa
- Biostatistics, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - Deborah Dillon
- Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Zohreh Amoozgar
- Steele Laboratories for Tumor Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Beth Overmoyer
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | | | - Eric P Winer
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Elizabeth A Mittendorf
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Eliezer Van Allen
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Dan G Duda
- Steele Laboratories for Tumor Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Sara M Tolaney
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA.
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39
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Coates JT, Sun S, Leshchiner I, Thimmiah N, Martin EE, McLoughlin D, Danysh BP, Slowik K, Jacobs RA, Rhrissorrakrai K, Utro F, Levovitz C, Denault E, Walmsley CS, Kambadakone A, Stone JR, Isakoff SJ, Parida L, Juric D, Getz G, Bardia A, Ellisen LW. Parallel Genomic Alterations of Antigen and Payload Targets Mediate Polyclonal Acquired Clinical Resistance to Sacituzumab Govitecan in Triple-Negative Breast Cancer. Cancer Discov 2021; 11:2436-2445. [PMID: 34404686 DOI: 10.1158/2159-8290.cd-21-0702] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/01/2021] [Accepted: 07/29/2021] [Indexed: 11/16/2022]
Abstract
Sacituzumab govitecan (SG), the first antibody-drug conjugate (ADC) approved for triple-negative breast cancer, incorporates the anti-TROP2 antibody hRS7 conjugated to a topoisomerase-1 (TOP1) inhibitor payload. We sought to identify mechanisms of SG resistance through RNA and whole-exome sequencing of pretreatment and postprogression specimens. One patient exhibiting de novo progression lacked TROP2 expression, in contrast to robust TROP2 expression and focal genomic amplification of TACSTD2/TROP2 observed in a patient with a deep, prolonged response to SG. Analysis of acquired genomic resistance in this case revealed one phylogenetic branch harboring a canonical TOP1 E418K resistance mutation and subsequent frameshift TOP1 mutation, whereas a distinct branch exhibited a novel TACSTD2/TROP2 T256R missense mutation. Reconstitution experiments demonstrated that TROP2T256R confers SG resistance via defective plasma membrane localization and reduced cell-surface binding by hRS7. These findings highlight parallel genomic alterations in both antibody and payload targets associated with resistance to SG. SIGNIFICANCE: These findings underscore TROP2 as a response determinant and reveal acquired SG resistance mechanisms involving the direct antibody and drug payload targets in distinct metastatic subclones of an individual patient. This study highlights the specificity of SG and illustrates how such mechanisms will inform therapeutic strategies to overcome ADC resistance.This article is highlighted in the In This Issue feature, p. 2355.
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Affiliation(s)
- James T Coates
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Sheng Sun
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | | | - Nayana Thimmiah
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | | | | | - Brian P Danysh
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Kara Slowik
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Raquel A Jacobs
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | | | | | | | - Elyssa Denault
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | | | - Avinash Kambadakone
- Harvard Medical School, Boston, Massachusetts.,Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - James R Stone
- Harvard Medical School, Boston, Massachusetts.,Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Steven J Isakoff
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | | | - Dejan Juric
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Gad Getz
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Aditya Bardia
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts. .,Harvard Medical School, Boston, Massachusetts
| | - Leif W Ellisen
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts. .,Harvard Medical School, Boston, Massachusetts.,Ludwig Center at Harvard, Boston, Massachusetts
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40
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McKay RR, Kwak L, Crowdis JP, Sperger JM, Zhao SG, Xie W, Werner L, Lis RT, Zhang Z, Wei XX, Lang JM, Van Allen EM, Bhatt RS, Yu EY, Nelson PS, Bubley GJ, Montgomery RB, Taplin ME. Phase II Multicenter Study of Enzalutamide in Metastatic Castration-Resistant Prostate Cancer to Identify Mechanisms Driving Resistance. Clin Cancer Res 2021; 27:3610-3619. [PMID: 33849963 PMCID: PMC8254786 DOI: 10.1158/1078-0432.ccr-20-4616] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 02/23/2021] [Accepted: 04/09/2021] [Indexed: 12/15/2022]
Abstract
PURPOSE Enzalutamide is a second-generation androgen receptor (AR) inhibitor that has improved overall survival (OS) in metastatic castration-resistant prostate cancer (CRPC). However, nearly all patients develop resistance. We designed a phase II multicenter study of enzalutamide in metastatic CRPC incorporating tissue and blood biomarkers to dissect mechanisms driving resistance. PATIENTS AND METHODS Eligible patients with metastatic CRPC underwent a baseline metastasis biopsy and then initiated enzalutamide 160 mg daily. A repeat metastasis biopsy was obtained at radiographic progression from the same site when possible. Blood for circulating tumor cell (CTC) analysis was collected at baseline and progression. The primary objective was to analyze mechanisms of resistance in serial biopsies. Whole-exome sequencing was performed on tissue biopsies. CTC samples underwent RNA sequencing. RESULTS A total of 65 patients initiated treatment, of whom 22 (33.8%) had received prior abiraterone. Baseline biopsies were enriched for alterations in AR (mutations, amplifications) and tumor suppression genes (PTEN, RB1, and TP53), which were observed in 73.1% and 92.3% of baseline biopsies, respectively. Progression biopsies revealed increased AR amplifications (64.7% at progression vs. 53.9% at baseline) and BRCA2 alterations (64.7% at progression vs. 38.5% at baseline). Genomic analysis of baseline and progression CTC samples demonstrated increased AR splice variants, AR-regulated genes, and neuroendocrine markers at progression. CONCLUSIONS Our results demonstrate that a large proportion of enzalutamide-treated patients have baseline and progression alterations in the AR pathway and tumor suppressor genes. We demonstrate an increased number of BRCA2 alterations post-enzalutamide, highlighting the importance of serial tumor sampling in CRPC.
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Affiliation(s)
- Rana R McKay
- University of California San Diego, San Diego, California
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Lucia Kwak
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Jamie M Sperger
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin
| | - Shuang G Zhao
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin
| | - Wanling Xie
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Rosina T Lis
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Xiao X Wei
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Joshua M Lang
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin
| | | | - Rupal S Bhatt
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Evan Y Yu
- University of Washington, Seattle, Washington
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Peter S Nelson
- University of Washington, Seattle, Washington
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Glenn J Bubley
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - R Bruce Montgomery
- University of Washington, Seattle, Washington
- Fred Hutchinson Cancer Research Center, Seattle, Washington
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41
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Morton LM, Karyadi DM, Stewart C, Bogdanova TI, Dawson ET, Steinberg MK, Dai J, Hartley SW, Schonfeld SJ, Sampson JN, Maruvka YE, Kapoor V, Ramsden DA, Carvajal-Garcia J, Perou CM, Parker JS, Krznaric M, Yeager M, Boland JF, Hutchinson A, Hicks BD, Dagnall CL, Gastier-Foster JM, Bowen J, Lee O, Machiela MJ, Cahoon EK, Brenner AV, Mabuchi K, Drozdovitch V, Masiuk S, Chepurny M, Zurnadzhy LY, Hatch M, Berrington de Gonzalez A, Thomas GA, Tronko MD, Getz G, Chanock SJ. Radiation-related genomic profile of papillary thyroid carcinoma after the Chernobyl accident. Science 2021; 372:science.abg2538. [PMID: 33888599 DOI: 10.1126/science.abg2538] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/25/2021] [Indexed: 12/13/2022]
Abstract
The 1986 Chernobyl nuclear power plant accident increased papillary thyroid carcinoma (PTC) incidence in surrounding regions, particularly for radioactive iodine (131I)-exposed children. We analyzed genomic, transcriptomic, and epigenomic characteristics of 440 PTCs from Ukraine (from 359 individuals with estimated childhood 131I exposure and 81 unexposed children born after 1986). PTCs displayed radiation dose-dependent enrichment of fusion drivers, nearly all in the mitogen-activated protein kinase pathway, and increases in small deletions and simple/balanced structural variants that were clonal and bore hallmarks of nonhomologous end-joining repair. Radiation-related genomic alterations were more pronounced for individuals who were younger at exposure. Transcriptomic and epigenomic features were strongly associated with driver events but not radiation dose. Our results point to DNA double-strand breaks as early carcinogenic events that subsequently enable PTC growth after environmental radiation exposure.
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Affiliation(s)
- Lindsay M Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
| | - Danielle M Karyadi
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tetiana I Bogdanova
- Laboratory of Morphology of the Endocrine System, V. P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv 04114, Ukraine
| | - Eric T Dawson
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.,Nvidia Corporation, Santa Clara, CA 95051, USA
| | - Mia K Steinberg
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Jieqiong Dai
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Stephen W Hartley
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Sara J Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Joshua N Sampson
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Yosef E Maruvka
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Vidushi Kapoor
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Dale A Ramsden
- Department of Biochemistry and Biophysics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Juan Carvajal-Garcia
- Curriculum in Genetics and Molecular Biology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Joel S Parker
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Marko Krznaric
- Department of Surgery and Cancer, Imperial College London, Charing Cross Hospital, London W6 8RF, UK
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Joseph F Boland
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Casey L Dagnall
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Julie M Gastier-Foster
- Nationwide Children's Hospital, Biospecimen Core Resource, Columbus, OH 43205, USA.,Departments of Pathology and Pediatrics, Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Jay Bowen
- Nationwide Children's Hospital, Biospecimen Core Resource, Columbus, OH 43205, USA
| | - Olivia Lee
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mitchell J Machiela
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Elizabeth K Cahoon
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Alina V Brenner
- Radiation Effects Research Foundation, Hiroshima 732-0815, Japan
| | - Kiyohiko Mabuchi
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Vladimir Drozdovitch
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Sergii Masiuk
- Radiological Protection Laboratory, Institute of Radiation Hygiene and Epidemiology, National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, Kyiv 04050, Ukraine
| | - Mykola Chepurny
- Radiological Protection Laboratory, Institute of Radiation Hygiene and Epidemiology, National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, Kyiv 04050, Ukraine
| | - Liudmyla Yu Zurnadzhy
- Laboratory of Morphology of the Endocrine System, V. P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv 04114, Ukraine
| | - Maureen Hatch
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Amy Berrington de Gonzalez
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Gerry A Thomas
- Department of Surgery and Cancer, Imperial College London, Charing Cross Hospital, London W6 8RF, UK
| | - Mykola D Tronko
- Department of Fundamental and Applied Problems of Endocrinology, V. P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv 04114, Ukraine
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.,Center for Cancer Research and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA.,Harvard Medical School, Boston, MA 02115, USA
| | - Stephen J Chanock
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
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Evolutionary Trajectories and Genomic Divergence in Localized Breast Cancers after Ipsilateral Breast Tumor Recurrence. Cancers (Basel) 2021; 13:cancers13081821. [PMID: 33920370 PMCID: PMC8069481 DOI: 10.3390/cancers13081821] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 12/30/2022] Open
Abstract
Simple Summary Ipsilateral breast tumor relapse (IBTR) occurs in 5–10% of localized breast cancers (BCs) within 10 years of incidence, despite proper treatment of the primary lesion. However, the clinical consequences of evolutionary trajectories of BC cells and their impact on IBTR remain poorly understood. Here, we conducted a longitudinal genomic analysis of 10 matched localized BC patients with IBTR. Overall, we identified the differences in homologous recombination deficiency, chromosomal instability, and somatic mutation drivers between primary and relapsed lesions. Our analyses highlighted three clonal architectures that shape by distinct mutagenic processes and subclonal diversification during relapse progression. Finally, this study provided a framework, which integrated actionable biomarkers with clonal architectures, towards improvement of future treatment decisions. Abstract The evolutionary trajectories that drive clinical and therapeutic consequences in localized breast cancers (BCs) with ipsilateral breast tumor relapse (IBTR) remain largely unknown. Analyses of longitudinal paired whole-exome sequencing data from 10 localized BC patients with IBTR reveal that, compared to primary breast tumors, homologous recombination (HR) deficiency, inactivation of the HR pathway, chromosomal instability, and somatic driver mutations are more frequent. Furthermore, three major models of evolution in IBTR are summarized, through which relative contributions of mutational signatures shift, and the subclonal diversity expansions are shown. Optimal treatment regimens are suggested by the clinically relevant molecular features, such as HR deficiency (20%) or specific alterations (30%) with sensitivity to available FDA-approved drugs. Finally, a rationale for the development of the therapeutic management framework is provided. This study sheds light on the complicated evolution patterns in IBTR and has significant clinical implications for future improvement of treatment decisions.
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Dharia NV, Kugener G, Guenther LM, Malone CF, Durbin AD, Hong AL, Howard TP, Bandopadhayay P, Wechsler CS, Fung I, Warren AC, Dempster JM, Krill-Burger JM, Paolella BR, Moh P, Jha N, Tang A, Montgomery P, Boehm JS, Hahn WC, Roberts CWM, McFarland JM, Tsherniak A, Golub TR, Vazquez F, Stegmaier K. A first-generation pediatric cancer dependency map. Nat Genet 2021; 53:529-538. [PMID: 33753930 PMCID: PMC8049517 DOI: 10.1038/s41588-021-00819-w] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 02/16/2021] [Indexed: 01/31/2023]
Abstract
Exciting therapeutic targets are emerging from CRISPR-based screens of high mutational-burden adult cancers. A key question, however, is whether functional genomic approaches will yield new targets in pediatric cancers, known for remarkably few mutations, which often encode proteins considered challenging drug targets. To address this, we created a first-generation pediatric cancer dependency map representing 13 pediatric solid and brain tumor types. Eighty-two pediatric cancer cell lines were subjected to genome-scale CRISPR-Cas9 loss-of-function screening to identify genes required for cell survival. In contrast to the finding that pediatric cancers harbor fewer somatic mutations, we found a similar complexity of genetic dependencies in pediatric cancer cell lines compared to that in adult models. Findings from the pediatric cancer dependency map provide preclinical support for ongoing precision medicine clinical trials. The vulnerabilities observed in pediatric cancers were often distinct from those in adult cancer, indicating that repurposing adult oncology drugs will be insufficient to address childhood cancers.
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Affiliation(s)
- Neekesh V Dharia
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Guillaume Kugener
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Lillian M Guenther
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Clare F Malone
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Adam D Durbin
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Oncology, Comprehensive Cancer Center, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Andrew L Hong
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Pediatrics, Emory University and Department of Hematology and Oncology, Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - Thomas P Howard
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Pratiti Bandopadhayay
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Caroline S Wechsler
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Iris Fung
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | | | - Phoebe Moh
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- University of Maryland, College Park, MD, USA
| | - Nishant Jha
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Andrew Tang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Jesse S Boehm
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - William C Hahn
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Charles W M Roberts
- Department of Oncology, Comprehensive Cancer Center, St. Jude Children's Research Hospital, Memphis, TN, USA
| | | | | | - Todd R Golub
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Francisca Vazquez
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Kimberly Stegmaier
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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44
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Krug K, Jaehnig EJ, Satpathy S, Blumenberg L, Karpova A, Anurag M, Miles G, Mertins P, Geffen Y, Tang LC, Heiman DI, Cao S, Maruvka YE, Lei JT, Huang C, Kothadia RB, Colaprico A, Birger C, Wang J, Dou Y, Wen B, Shi Z, Liao Y, Wiznerowicz M, Wyczalkowski MA, Chen XS, Kennedy JJ, Paulovich AG, Thiagarajan M, Kinsinger CR, Hiltke T, Boja ES, Mesri M, Robles AI, Rodriguez H, Westbrook TF, Ding L, Getz G, Clauser KR, Fenyö D, Ruggles KV, Zhang B, Mani DR, Carr SA, Ellis MJ, Gillette MA. Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy. Cell 2020; 183:1436-1456.e31. [PMID: 33212010 PMCID: PMC8077737 DOI: 10.1016/j.cell.2020.10.036] [Citation(s) in RCA: 245] [Impact Index Per Article: 61.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/14/2020] [Accepted: 10/21/2020] [Indexed: 02/08/2023]
Abstract
The integration of mass spectrometry-based proteomics with next-generation DNA and RNA sequencing profiles tumors more comprehensively. Here this "proteogenomics" approach was applied to 122 treatment-naive primary breast cancers accrued to preserve post-translational modifications, including protein phosphorylation and acetylation. Proteogenomics challenged standard breast cancer diagnoses, provided detailed analysis of the ERBB2 amplicon, defined tumor subsets that could benefit from immune checkpoint therapy, and allowed more accurate assessment of Rb status for prediction of CDK4/6 inhibitor responsiveness. Phosphoproteomics profiles uncovered novel associations between tumor suppressor loss and targetable kinases. Acetylproteome analysis highlighted acetylation on key nuclear proteins involved in the DNA damage response and revealed cross-talk between cytoplasmic and mitochondrial acetylation and metabolism. Our results underscore the potential of proteogenomics for clinical investigation of breast cancer through more accurate annotation of targetable pathways and biological features of this remarkably heterogeneous malignancy.
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Affiliation(s)
- Karsten Krug
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Eric J Jaehnig
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Lili Blumenberg
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Alla Karpova
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Meenakshi Anurag
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - George Miles
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Philipp Mertins
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Max Delbrück Center for Molecular Medicine in the Helmholtz Society and Berlin Institute of Health, Berlin, Germany
| | - Yifat Geffen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Lauren C Tang
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - David I Heiman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Song Cao
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Yosef E Maruvka
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Jonathan T Lei
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chen Huang
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ramani B Kothadia
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Antonio Colaprico
- Division of Biostatistics, Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Chet Birger
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Jarey Wang
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Department of Molecular and Human Genetics, and Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yongchao Dou
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zhiao Shi
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yuxing Liao
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Maciej Wiznerowicz
- Poznan University of Medical Sciences, Poznań 61-701, Poland; International Institute for Molecular Oncology, 60-203 Poznań, Poland
| | - Matthew A Wyczalkowski
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Xi Steven Chen
- Division of Biostatistics, Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Jacob J Kennedy
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Amanda G Paulovich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Christopher R Kinsinger
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Emily S Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Thomas F Westbrook
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Department of Molecular and Human Genetics, and Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Li Ding
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA 02114, USA
| | - Karl R Clauser
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - David Fenyö
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.
| | - Steven A Carr
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.
| | - Matthew J Ellis
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Michael A Gillette
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
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45
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Conway JR, Dietlein F, Taylor-Weiner A, AlDubayan S, Vokes N, Keenan T, Reardon B, He MX, Margolis CA, Weirather JL, Haq R, Schilling B, Stephen Hodi F, Schadendorf D, Liu D, Van Allen EM. Integrated molecular drivers coordinate biological and clinical states in melanoma. Nat Genet 2020; 52:1373-1383. [PMID: 33230298 PMCID: PMC8054830 DOI: 10.1038/s41588-020-00739-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 10/14/2020] [Indexed: 01/05/2023]
Abstract
We performed harmonized molecular and clinical analysis on 1,048 melanomas and discovered markedly different global genomic properties among subtypes (BRAF, (N)RAS, NF1, Triple Wild-Type), subtype-specific preferences for secondary driver genes, and active mutational processes previously unreported in melanoma. Secondary driver genes significantly enriched in specific subtypes reflected preferential dysregulation of additional pathways, such as induction of TGF-β signaling in BRAF melanomas and inactivation of the SWI/SNF complex in (N)RAS melanomas, and select co-mutation patterns coordinated selective response to immune checkpoint blockade. We also defined the mutational landscape of Triple Wild-Type melanomas and identified enrichment of DNA repair defect signatures in this subtype, which were associated with transcriptional downregulation of key DNA repair genes and may revive previously discarded or currently unconsidered therapeutic modalities for genomically stratified melanoma patient subsets. Broadly, harmonized meta-analysis of melanoma whole-exomes identified distinct molecular drivers that may point to multiple opportunities for biological and therapeutic investigation.
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Affiliation(s)
- Jake R Conway
- Division of Medical Sciences, Harvard University, Boston, MA, USA.,Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Felix Dietlein
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amaro Taylor-Weiner
- Division of Medical Sciences, Harvard University, Boston, MA, USA.,Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Saud AlDubayan
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.,Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.,Department of Medicine, King Saud bin Abdul-Aziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Natalie Vokes
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tanya Keenan
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Brendan Reardon
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Meng Xiao He
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.,Harvard Graduate Program in Biophysics, Boston, MA, USA
| | - Claire A Margolis
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jason L Weirather
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Rizwan Haq
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Bastian Schilling
- Department of Dermatology, University Hospital Würzburg, Würzburg, Germany.,Department of Dermatology, University Hospital, Essen, Germany.,German Cancer Consortium of Translational Cancer Research, German Cancer Research Center, Heidelberg, Germany
| | - F Stephen Hodi
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital, Essen, Germany.,German Cancer Consortium of Translational Cancer Research, German Cancer Research Center, Heidelberg, Germany
| | - David Liu
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Eliezer M Van Allen
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA. .,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. .,Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA.
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46
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Genomic analyses of flow-sorted Hodgkin Reed-Sternberg cells reveal complementary mechanisms of immune evasion. Blood Adv 2020; 3:4065-4080. [PMID: 31816062 DOI: 10.1182/bloodadvances.2019001012] [Citation(s) in RCA: 90] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 10/22/2019] [Indexed: 12/14/2022] Open
Abstract
Classical Hodgkin lymphoma (cHL) is composed of rare malignant Hodgkin Reed-Sternberg (HRS) cells within an extensive, but ineffective, inflammatory/immune cell infiltrate. HRS cells exhibit near-universal somatic copy gains of chromosome 9p/9p24.1, which increase expression of the programmed cell death protein 1 (PD-1) ligands. To define genetic mechanisms of response and resistance to PD-1 blockade and identify complementary treatment targets, we performed whole-exome sequencing of flow cytometry-sorted HRS cells from 23 excisional biopsies of newly diagnosed cHLs, including 8 Epstein-Barr virus-positive (EBV+) tumors. We identified significantly mutated cancer candidate genes (CCGs) as well as somatic copy number alterations and structural variations and characterized their contribution to disease-defining immune evasion mechanisms and nuclear factor κB (NF-κB), JAK/STAT, and PI3K signaling pathways. EBV- cHLs had a higher prevalence of genetic alterations in the NF-κB and major histocompatibility complex class I antigen presentation pathways. In this young cHL cohort (median age, 26 years), we identified a predominant mutational signature of spontaneous deamination of cytosine- phosphate-guanines ("Aging"), in addition to apolipoprotein B mRNA editing catalytic polypeptide-like, activation-induced cytidine deaminase, and microsatellite instability (MSI)-associated hypermutation. In particular, the mutational burden in EBV- cHLs was among the highest reported, similar to that of carcinogen-induced tumors. Together, the overall high mutational burden, MSI-associated hypermutation, and newly identified genetic alterations represent additional potential bases for the efficacy of PD-1 blockade in cHL. Of note, recurrent cHL alterations, including B2M, TNFAIP3, STAT6, GNA13, and XPO1 mutations and 2p/2p15, 6p21.32, 6q23.3, and 9p/9p24.1 copy number alterations, were also identified in >20% of primary mediastinal B-cell lymphomas, highlighting shared pathogenetic mechanisms in these diseases.
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47
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Oh JH, Sung CO. Comprehensive characteristics of somatic mutations in the normal tissues of patients with cancer and existence of somatic mutant clones linked to cancer development. J Med Genet 2020; 58:433-441. [PMID: 32719100 DOI: 10.1136/jmedgenet-2020-106905] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 06/02/2020] [Accepted: 06/04/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Somatic mutations are a major driver of cancer development and many have now been identified in various cancer types, but the comprehensive somatic mutation status of the normal tissues matched to tumours has not been revealed. METHOD We analysed the somatic mutations of whole exome sequencing data in 392 patient tumour and normal tissue pairs based on the corresponding blood samples across 10 tumour types. RESULTS Many of the mutations involved in oncogenic pathways such as PI3K, NOTCH and TP53, were identified in the normal tissues. The ageing-related mutational signature was the most prominent contributing signature found and the mutations in the normal tissues were frequently in genes involved in late replication time (p<0.0001). Variants were rarely overlapping across tissue types but shared variants between normal and matched tumour tissue were present. These shared variants were frequently pathogenic when compared with non-shared variants (p=0.001) and showed a higher variant-allele-fraction (p<0.0001). Normal tissue-specific mutated genes were frequently non-cancer-associated (p=0.009). PIK3CA mutations were identified in 6 normal tissues and were harboured by all of the matched cancer tissues. Multiple types of PIK3CA mutations were found in normal breast and matched cancer tissues. The PIK3CA mutations exclusively present in normal tissue may indicate clonal expansions unrelated to the tumour. In addition, PIK3CA mutation was appeared that they arose before the occurrence of the allelic imbalance. CONCLUSION Our current results suggest that somatic mutant clones exist in normal tissues and that their clonal expansion could be linked to cancer development.
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Affiliation(s)
- Ji-Hye Oh
- Center for Cancer Genome Discovery, Asan Institute for Life Science, Asan Medical Center, Songpa-gu, Seoul, The Republic of Korea.,Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Songpa-gu, Seoul, The Republic of Korea
| | - Chang Ohk Sung
- Center for Cancer Genome Discovery, Asan Institute for Life Science, Asan Medical Center, Songpa-gu, Seoul, The Republic of Korea .,Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Songpa-gu, Seoul, The Republic of Korea.,Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Songpa-gu, Seoul, The Republic of Korea
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Touat M, Li YY, Boynton AN, Spurr LF, Iorgulescu JB, Bohrson CL, Cortes-Ciriano I, Birzu C, Geduldig JE, Pelton K, Lim-Fat MJ, Pal S, Ferrer-Luna R, Ramkissoon SH, Dubois F, Bellamy C, Currimjee N, Bonardi J, Qian K, Ho P, Malinowski S, Taquet L, Jones RE, Shetty A, Chow KH, Sharaf R, Pavlick D, Albacker LA, Younan N, Baldini C, Verreault M, Giry M, Guillerm E, Ammari S, Beuvon F, Mokhtari K, Alentorn A, Dehais C, Houillier C, Laigle-Donadey F, Psimaras D, Lee EQ, Nayak L, McFaline-Figueroa JR, Carpentier A, Cornu P, Capelle L, Mathon B, Barnholtz-Sloan JS, Chakravarti A, Bi WL, Chiocca EA, Fehnel KP, Alexandrescu S, Chi SN, Haas-Kogan D, Batchelor TT, Frampton GM, Alexander BM, Huang RY, Ligon AH, Coulet F, Delattre JY, Hoang-Xuan K, Meredith DM, Santagata S, Duval A, Sanson M, Cherniack AD, Wen PY, Reardon DA, Marabelle A, Park PJ, Idbaih A, Beroukhim R, Bandopadhayay P, Bielle F, Ligon KL. Mechanisms and therapeutic implications of hypermutation in gliomas. Nature 2020; 580:517-523. [PMID: 32322066 PMCID: PMC8235024 DOI: 10.1038/s41586-020-2209-9] [Citation(s) in RCA: 355] [Impact Index Per Article: 88.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 03/04/2020] [Indexed: 12/19/2022]
Abstract
A high tumour mutational burden (hypermutation) is observed in some gliomas1-5; however, the mechanisms by which hypermutation develops and whether it predicts the response to immunotherapy are poorly understood. Here we comprehensively analyse the molecular determinants of mutational burden and signatures in 10,294 gliomas. We delineate two main pathways to hypermutation: a de novo pathway associated with constitutional defects in DNA polymerase and mismatch repair (MMR) genes, and a more common post-treatment pathway, associated with acquired resistance driven by MMR defects in chemotherapy-sensitive gliomas that recur after treatment with the chemotherapy drug temozolomide. Experimentally, the mutational signature of post-treatment hypermutated gliomas was recapitulated by temozolomide-induced damage in cells with MMR deficiency. MMR-deficient gliomas were characterized by a lack of prominent T cell infiltrates, extensive intratumoral heterogeneity, poor patient survival and a low rate of response to PD-1 blockade. Moreover, although bulk analyses did not detect microsatellite instability in MMR-deficient gliomas, single-cell whole-genome sequencing analysis of post-treatment hypermutated glioma cells identified microsatellite mutations. These results show that chemotherapy can drive the acquisition of hypermutated populations without promoting a response to PD-1 blockade and supports the diagnostic use of mutational burden and signatures in cancer.
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Affiliation(s)
- Mehdi Touat
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France.
| | - Yvonne Y Li
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Adam N Boynton
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Liam F Spurr
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - J Bryan Iorgulescu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women's Hospital, Boston, Harvard Medical School, MA, USA
| | - Craig L Bohrson
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Bioinformatics and Integrative Genomics PhD Program, Harvard Medical School, Boston, MA, USA
| | - Isidro Cortes-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Cristina Birzu
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Jack E Geduldig
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Kristine Pelton
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Mary Jane Lim-Fat
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sangita Pal
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Ruben Ferrer-Luna
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Foundation Medicine Inc., Cambridge, MA, USA
| | - Shakti H Ramkissoon
- Foundation Medicine Inc., Cambridge, MA, USA
- Wake Forest Comprehensive Cancer Center and Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Frank Dubois
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Charlotte Bellamy
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Naomi Currimjee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Juliana Bonardi
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Kenin Qian
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Patricia Ho
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Seth Malinowski
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Leon Taquet
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Robert E Jones
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Aniket Shetty
- Center for Patient Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kin-Hoe Chow
- Center for Patient Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | | | - Nadia Younan
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Capucine Baldini
- Drug Development Department (DITEP), INSERM U1015, Université Paris Saclay, Gustave Roussy, Villejuif, France
| | - Maïté Verreault
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Marine Giry
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Erell Guillerm
- Unité fonctionnelle d'Oncogénétique et Angiogénétique Moléculaire, Département de génétique, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France
| | - Samy Ammari
- Department of Diagnostic Radiology, Gustave Roussy, Villejuif, France
- IR4M (UMR8081), Université Paris-Sud, Centre National de la Recherche Scientifique, Orsay, France
| | - Frédéric Beuvon
- AP-HP, Université Paris Descartes, Hôpital Cochin, Service d'Anatomie et Cytologie Pathologiques, Paris, France
| | - Karima Mokhtari
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neuropathologie Laboratoire Escourolle, Paris, France
| | - Agusti Alentorn
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Caroline Dehais
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Caroline Houillier
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Florence Laigle-Donadey
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Dimitri Psimaras
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Eudocia Q Lee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Lakshmi Nayak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Ricardo McFaline-Figueroa
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Alexandre Carpentier
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurochirurgie, Paris, France
| | - Philippe Cornu
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurochirurgie, Paris, France
| | - Laurent Capelle
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurochirurgie, Paris, France
| | - Bertrand Mathon
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurochirurgie, Paris, France
| | - Jill S Barnholtz-Sloan
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Arnab Chakravarti
- Department of Radiation Oncology, Arthur G. James Hospital/Ohio State Comprehensive Cancer Center, Columbus, OH, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - E Antonio Chiocca
- Department of Neurosurgery, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Katie Pricola Fehnel
- Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sanda Alexandrescu
- Department of Pathology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Susan N Chi
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Daphne Haas-Kogan
- Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tracy T Batchelor
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Brian M Alexander
- Foundation Medicine Inc., Cambridge, MA, USA
- Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Azra H Ligon
- Department of Pathology, Brigham & Women's Hospital, Boston, Harvard Medical School, MA, USA
| | - Florence Coulet
- Unité fonctionnelle d'Oncogénétique et Angiogénétique Moléculaire, Département de génétique, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France
| | - Jean-Yves Delattre
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
- Onconeurotek Tumor Bank, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Khê Hoang-Xuan
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - David M Meredith
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women's Hospital, Boston, Harvard Medical School, MA, USA
| | - Sandro Santagata
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women's Hospital, Boston, Harvard Medical School, MA, USA
- Ludwig Center at Harvard Medical School, Harvard Medical School, Boston, MA, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA
| | - Alex Duval
- Sorbonne Université, Inserm, UMR 938, Centre de Recherche Saint Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, Paris, France
| | - Marc Sanson
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
- Onconeurotek Tumor Bank, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Andrew D Cherniack
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Patrick Y Wen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - David A Reardon
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Aurélien Marabelle
- Drug Development Department (DITEP), INSERM U1015, Université Paris Saclay, Gustave Roussy, Villejuif, France
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Ahmed Idbaih
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Rameen Beroukhim
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Pratiti Bandopadhayay
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA.
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
| | - Franck Bielle
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neuropathologie Laboratoire Escourolle, Paris, France.
| | - Keith L Ligon
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Pathology, Brigham & Women's Hospital, Boston, Harvard Medical School, MA, USA.
- Center for Patient Derived Models, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Pathology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
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Identification of cancer driver genes based on nucleotide context. Nat Genet 2020; 52:208-218. [PMID: 32015527 PMCID: PMC7031046 DOI: 10.1038/s41588-019-0572-y] [Citation(s) in RCA: 130] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 12/16/2019] [Indexed: 12/26/2022]
Abstract
Cancer genomes contain large numbers of somatic mutations, but few of these mutations drive tumor development. Current approaches identify driver genes based on mutational recurrence, or they approximate the functional consequences of nonsynonymous mutations using bioinformatic scores. While passenger mutations are enriched in characteristic nucleotide contexts, driver mutations occur in functional positions, which are not necessarily surrounded by a particular nucleotide context. We observed that mutations in contexts that deviate from the characteristic contexts around passenger mutations provide a signal in favor of driver genes. We therefore developed a method that combines this feature with the signals traditionally used for driver gene identification. We applied our method to whole-exome sequencing data from 11,873 tumor-normal pairs and identified 460 driver genes that clustered into 21 cancer-related pathways. Our study provides a resource of driver genes across 28 tumor types with additional driver genes identified based on mutations in unusual nucleotide contexts.
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Aaltonen LA, Abascal F, Abeshouse A, Aburatani H, Adams DJ, Agrawal N, Ahn KS, Ahn SM, Aikata H, Akbani R, 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, 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, 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Pan-cancer analysis of whole genomes. Nature 2020; 578:82-93. [PMID: 32025007 PMCID: PMC7025898 DOI: 10.1038/s41586-020-1969-6] [Citation(s) in RCA: 1435] [Impact Index Per Article: 358.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 12/11/2019] [Indexed: 02/07/2023]
Abstract
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1-3. Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter4; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation5,6; analyses timings and patterns of tumour evolution7; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity8,9; and evaluates a range of more-specialized features of cancer genomes8,10-18.
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