1
|
Watson EV, Lee JJK, Gulhan DC, Melloni GEM, Venev SV, Magesh RY, Frederick A, Chiba K, Wooten EC, Naxerova K, Dekker J, Park PJ, Elledge SJ. Chromosome evolution screens recapitulate tissue-specific tumor aneuploidy patterns. Nat Genet 2024; 56:900-912. [PMID: 38388848 PMCID: PMC11096114 DOI: 10.1038/s41588-024-01665-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 01/16/2024] [Indexed: 02/24/2024]
Abstract
Whole chromosome and arm-level copy number alterations occur at high frequencies in tumors, but their selective advantages, if any, are poorly understood. Here, utilizing unbiased whole chromosome genetic screens combined with in vitro evolution to generate arm- and subarm-level events, we iteratively selected the fittest karyotypes from aneuploidized human renal and mammary epithelial cells. Proliferation-based karyotype selection in these epithelial lines modeled tissue-specific tumor aneuploidy patterns in patient cohorts in the absence of driver mutations. Hi-C-based translocation mapping revealed that arm-level events usually emerged in multiples of two via centromeric translocations and occurred more frequently in tetraploids than diploids, contributing to the increased diversity in evolving tetraploid populations. Isogenic clonal lineages enabled elucidation of pro-tumorigenic mechanisms associated with common copy number alterations, revealing Notch signaling potentiation as a driver of 1q gain in breast cancer. We propose that intrinsic, tissue-specific proliferative effects underlie tumor copy number patterns in cancer.
Collapse
Affiliation(s)
- Emma V Watson
- Department of Genetics, Harvard Medical School and Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Jake June-Koo Lee
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Giorgio E M Melloni
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Sergey V Venev
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Rayna Y Magesh
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Abdulrazak Frederick
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Kunitoshi Chiba
- Department of Genetics, Harvard Medical School and Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
| | - Eric C Wooten
- Department of Genetics, Harvard Medical School and Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
| | - Kamila Naxerova
- Department of Genetics, Harvard Medical School and Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
- Center for Systems Biology and Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Job Dekker
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
| | - Stephen J Elledge
- Department of Genetics, Harvard Medical School and Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| |
Collapse
|
2
|
Boiarsky D, Gulhan DC, Savignano H, Lakshminarayanan G, McClure HM, Silver R, Hirsch MS, Sholl LM, Choudhury AD, Ananda G, Park PJ, Tewari AK, Berchuck JE. A Panel-Based Mutational Signature of Mismatch Repair Deficiency is Associated With Durable Response to Pembrolizumab in Metastatic Castration-Resistant Prostate Cancer. Clin Genitourin Cancer 2024; 22:558-568.e3. [PMID: 38342659 PMCID: PMC10939759 DOI: 10.1016/j.clgc.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/14/2024] [Accepted: 01/15/2024] [Indexed: 02/13/2024]
Abstract
INTRODUCTION/BACKGROUND Immune checkpoint inhibitors (ICIs) have limited efficacy in prostate cancer (PCa). Better biomarkers are needed to predict responses to ICIs. We sought to demonstrate that a panel-based mutational signature identifies mismatch repair (MMR) deficient (MMRd) PCa and is a biomarker of response to pembrolizumab. PATIENTS AND METHODS Clinico-genomic data was obtained for 2664 patients with PCa sequenced at Dana-Farber Cancer Institute (DFCI) and Memorial Sloan Kettering (MSK). Clinical outcomes were collected for patients with metastatic castration-resistant PCa (mCRPC) treated with pembrolizumab at DFCI. SigMA was used to characterize tumors as MMRd or MMR proficient (MMRp). The concordance between MMRd with microsatellite instability (MSI-H) was assessed. Radiographic progression-free survival (rPFS) and overall survival (OS) were collected for patients treated with pembrolizumab. Event-time distributions were estimated using Kaplan-Meier methodology. RESULTS Across both cohorts, 100% (DFCI: 12/12; MSK: 43/43) of MSI-H tumors were MMRd. However, 14% (2/14) and 9.1% (6/66) of MMRd tumors in the DFCI and MSK cohorts respectively were microsatellite stable (MSS), and 26% (17/66) were MSI-indeterminate in the MSK cohort. Among patients treated with pembrolizumab, those with MMRd (n = 5) versus MMRp (n = 14) mCRPC experienced markedly improved rPFS (HR = 0.088, 95% CI: 0.011-0.70; P = .0064) and OS (HR = 0.11, 95% CI: 0.014-0.80; P = .010) from start of treatment. Four patients with MMRd experienced remissions of >= 2.5 years. CONCLUSION SigMA detects additional cases of MMRd as compared to MSI testing in PCa and identifies patients likely to experience durable response to pembrolizumab.
Collapse
Affiliation(s)
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | - Hunter Savignano
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Heather M McClure
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Rebecca Silver
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Atish D Choudhury
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Guruprasad Ananda
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | - Alok K Tewari
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Jacob E Berchuck
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
| |
Collapse
|
3
|
Jin H, Gulhan DC, Geiger B, Ben-Isvy D, Geng D, Ljungström V, Park PJ. Accurate and sensitive mutational signature analysis with MuSiCal. Nat Genet 2024; 56:541-552. [PMID: 38361034 PMCID: PMC10937379 DOI: 10.1038/s41588-024-01659-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 01/08/2024] [Indexed: 02/17/2024]
Abstract
Mutational signature analysis is a recent computational approach for interpreting somatic mutations in the genome. Its application to cancer data has enhanced our understanding of mutational forces driving tumorigenesis and demonstrated its potential to inform prognosis and treatment decisions. However, methodological challenges remain for discovering new signatures and assigning proper weights to existing signatures, thereby hindering broader clinical applications. Here we present Mutational Signature Calculator (MuSiCal), a rigorous analytical framework with algorithms that solve major problems in the standard workflow. Our simulation studies demonstrate that MuSiCal outperforms state-of-the-art algorithms for both signature discovery and assignment. By reanalyzing more than 2,700 cancer genomes, we provide an improved catalog of signatures and their assignments, discover nine indel signatures absent in the current catalog, resolve long-standing issues with the ambiguous 'flat' signatures and give insights into signatures with unknown etiologies. We expect MuSiCal and the improved catalog to be a step towards establishing best practices for mutational signature analysis.
Collapse
Affiliation(s)
- Hu Jin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Benedikt Geiger
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Daniel Ben-Isvy
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - David Geng
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Viktor Ljungström
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
4
|
Gulhan DC, Viswanadham V, Muyas F, Jin H, Foote MB, Lee JJK, Barras D, Jung YL, Ljungstrom V, Rousseau B, Galor A, Diplas BH, Maron SB, Cleary JM, Cortés-Ciriano I, Park PJ. Predicting response to immune checkpoint blockade therapy among mismatch repair-deficient patients using mutational signatures. medRxiv 2024:2024.01.19.24301236. [PMID: 38293061 PMCID: PMC10827269 DOI: 10.1101/2024.01.19.24301236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Despite the overall efficacy of immune checkpoint blockade (ICB) for mismatch repair deficiency (MMRD) across tumor types, a sizable fraction of patients with MMRD still do not respond to ICB. We performed mutational signature analysis of panel sequencing data (n = 95) from MMRD cases treated with ICB. We discover that T>C-rich single base substitution (SBS) signatures-SBS26 and SBS54 from the COSMIC Mutational Signatures catalog-identify MMRD patients with significantly shorter overall survival. Tumors with a high burden of SBS26 show over-expression and enriched mutations of genes involved in double-strand break repair and other DNA repair pathways. They also display chromosomal instability (CIN), likely related to replication fork instability, leading to copy number losses that trigger immune evasion. SBS54 is associated with transcriptional activity and not with CIN, defining a distinct subtype. Consistently, cancer cell lines with a high burden of SBS26 and SBS54 are sensitive to treatments targeting pathways related to their proposed etiology. Together, our analysis offers an explanation for the heterogeneous responses to ICB among MMRD patients and supports an SBS signature-based predictor as a prognostic biomarker for differential ICB response.
Collapse
|
5
|
Zhang T, Jia H, Song T, Lv L, Gulhan DC, Wang H, Guo W, Xi R, Guo H, Shen N. De novo identification of expressed cancer somatic mutations from single-cell RNA sequencing data. Genome Med 2023; 15:115. [PMID: 38111063 PMCID: PMC10726641 DOI: 10.1186/s13073-023-01269-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/04/2023] [Indexed: 12/20/2023] Open
Abstract
Identifying expressed somatic mutations from single-cell RNA sequencing data de novo is challenging but highly valuable. We propose RESA - Recurrently Expressed SNV Analysis, a computational framework to identify expressed somatic mutations from scRNA-seq data. RESA achieves an average precision of 0.77 on three in silico spike-in datasets. In extensive benchmarking against existing methods using 19 datasets, RESA consistently outperforms them. Furthermore, we applied RESA to analyze intratumor mutational heterogeneity in a melanoma drug resistance dataset. By enabling high precision detection of expressed somatic mutations, RESA substantially enhances the reliability of mutational analysis in scRNA-seq. RESA is available at https://github.com/ShenLab-Genomics/RESA .
Collapse
Affiliation(s)
- Tianyun Zhang
- Department of Hepatobiliary and Pancreatic Surgery of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 311121, China
| | - Hanying Jia
- Department of Hepatobiliary and Pancreatic Surgery of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 311121, China
- Kidney Disease Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, 311121, China
| | - Tairan Song
- Department of Hepatobiliary and Pancreatic Surgery of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 311121, China
| | - Lin Lv
- Department of Hepatobiliary and Pancreatic Surgery of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 311121, China
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
| | - Haishuai Wang
- College of Computer Science, Zhejiang University, Hangzhou, 311121, Zhejiang, China
| | - Wei Guo
- Zhejiang University-University of Edinburgh Institute, School of Medicine, Zhejiang University, Jiaxing, 314400, China
| | - Ruibin Xi
- School of Mathematical Sciences and Center for Statistical Science, Peking University, 5 Yiheyuan Road, Beijing, 100871, China
| | - Hongshan Guo
- Department of Hepatobiliary and Pancreatic Surgery of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 311121, China
- Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China
| | - Ning Shen
- Department of Hepatobiliary and Pancreatic Surgery of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 311121, China.
| |
Collapse
|
6
|
Marino-Enriquez A, Novotny JP, Gulhan DC, Klooster I, Tran AV, Kasbo M, Lundberg MZ, Ou WB, Tao DL, Pilco-Janeta DF, Mao VY, Zenke FT, Leeper BA, Gokhale PC, Cowley GS, Baker LH, Ballman KV, Root DE, Albers J, Park PJ, George S, Fletcher JA. Hyper-Dependence on NHEJ Enables Synergy between DNA-PK Inhibitors and Low-Dose Doxorubicin in Leiomyosarcoma. Clin Cancer Res 2023; 29:5128-5139. [PMID: 37773632 PMCID: PMC10841464 DOI: 10.1158/1078-0432.ccr-23-0998] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/18/2023] [Accepted: 09/27/2023] [Indexed: 10/01/2023]
Abstract
PURPOSE Leiomyosarcoma (LMS) is an aggressive sarcoma for which standard chemotherapies achieve response rates under 30%. There are no effective targeted therapies against LMS. Most LMS are characterized by chromosomal instability (CIN), resulting in part from TP53 and RB1 co-inactivation and DNA damage repair defects. We sought to identify therapeutic targets that could exacerbate intrinsic CIN and DNA damage in LMS, inducing lethal genotoxicity. EXPERIMENTAL DESIGN We performed clinical targeted sequencing in 287 LMS and genome-wide loss-of-function screens in 3 patient-derived LMS cell lines, to identify LMS-specific dependencies. We validated candidate targets by biochemical and cell-response assays in vitro and in seven mouse models. RESULTS Clinical targeted sequencing revealed a high burden of somatic copy-number alterations (median fraction of the genome altered =0.62) and demonstrated homologous recombination deficiency signatures in 35% of LMS. Genome-wide short hairpin RNA screens demonstrated PRKDC (DNA-PKcs) and RPA2 essentiality, consistent with compensatory nonhomologous end joining (NHEJ) hyper-dependence. DNA-PK inhibitor combinations with unconventionally low-dose doxorubicin had synergistic activity in LMS in vitro models. Combination therapy with peposertib and low-dose doxorubicin (standard or liposomal formulations) inhibited growth of 5 of 7 LMS mouse models without toxicity. CONCLUSIONS Combinations of DNA-PK inhibitors with unconventionally low, sensitizing, doxorubicin dosing showed synergistic effects in LMS in vitro and in vivo models, without discernable toxicity. These findings underscore the relevance of DNA damage repair alterations in LMS pathogenesis and identify dependence on NHEJ as a clinically actionable vulnerability in LMS.
Collapse
Affiliation(s)
- Adrian Marino-Enriquez
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jan Philipp Novotny
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Doga C. Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Isabella Klooster
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Antuan V. Tran
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Macy Kasbo
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Meijun Z. Lundberg
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Wen-Bin Ou
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Derrick L. Tao
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel F. Pilco-Janeta
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Sarcoma Translational Research Laboratory, Vall d’Hebron Institute of Oncology, Autonomous University of Barcelona, Barcelona, Spain
| | - Victor Y. Mao
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Frank T. Zenke
- Research Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany
| | - Brittaney A. Leeper
- Experimental Therapeutics Core and the Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Prafulla C. Gokhale
- Experimental Therapeutics Core and the Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - Karla V. Ballman
- Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, New York
| | - David E. Root
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joachim Albers
- Research Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany
| | - Peter J. Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Suzanne George
- Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Jonathan A. Fletcher
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
7
|
Rodin RE, Dou Y, Kwon M, Sherman MA, D'Gama AM, Doan RN, Rento LM, Girskis KM, Bohrson CL, Kim SN, Nadig A, Luquette LJ, Gulhan DC, Park PJ, Walsh CA. Author Correction: The landscape of somatic mutation in cerebral cortex of autistic and neurotypical individuals revealed by ultra-deep whole-genome sequencing. Nat Neurosci 2023; 26:1833. [PMID: 37644260 DOI: 10.1038/s41593-023-01437-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Affiliation(s)
- Rachel E Rodin
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Yanmei Dou
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Minseok Kwon
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Maxwell A Sherman
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alissa M D'Gama
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Ryan N Doan
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
| | - Lariza M Rento
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Kelly M Girskis
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Craig L Bohrson
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Sonia N Kim
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Ajay Nadig
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Lovelace J Luquette
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.
| | - Christopher A Walsh
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA.
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| |
Collapse
|
8
|
Lee JJK, Jung YL, Cheong TC, Espejo Valle-Inclan J, Chu C, Gulhan DC, Ljungström V, Jin H, Viswanadham VV, Watson EV, Cortés-Ciriano I, Elledge SJ, Chiarle R, Pellman D, Park PJ. ERα-associated translocations underlie oncogene amplifications in breast cancer. Nature 2023; 618:1024-1032. [PMID: 37198482 PMCID: PMC10307628 DOI: 10.1038/s41586-023-06057-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 04/05/2023] [Indexed: 05/19/2023]
Abstract
Focal copy-number amplification is an oncogenic event. Although recent studies have revealed the complex structure1-3 and the evolutionary trajectories4 of oncogene amplicons, their origin remains poorly understood. Here we show that focal amplifications in breast cancer frequently derive from a mechanism-which we term translocation-bridge amplification-involving inter-chromosomal translocations that lead to dicentric chromosome bridge formation and breakage. In 780 breast cancer genomes, we observe that focal amplifications are frequently connected to each other by inter-chromosomal translocations at their boundaries. Subsequent analysis indicates the following model: the oncogene neighbourhood is translocated in G1 creating a dicentric chromosome, the dicentric chromosome is replicated, and as dicentric sister chromosomes segregate during mitosis, a chromosome bridge is formed and then broken, with fragments often being circularized in extrachromosomal DNAs. This model explains the amplifications of key oncogenes, including ERBB2 and CCND1. Recurrent amplification boundaries and rearrangement hotspots correlate with oestrogen receptor binding in breast cancer cells. Experimentally, oestrogen treatment induces DNA double-strand breaks in the oestrogen receptor target regions that are repaired by translocations, suggesting a role of oestrogen in generating the initial translocations. A pan-cancer analysis reveals tissue-specific biases in mechanisms initiating focal amplifications, with the breakage-fusion-bridge cycle prevalent in some and the translocation-bridge amplification in others, probably owing to the different timing of DNA break repair. Our results identify a common mode of oncogene amplification and propose oestrogen as its mechanistic origin in breast cancer.
Collapse
Affiliation(s)
- Jake June-Koo Lee
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Youngsook Lucy Jung
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Taek-Chin Cheong
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Chong Chu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
| | - Viktor Ljungström
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Hu Jin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Emma V Watson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Isidro Cortés-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Stephen J Elledge
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Roberto Chiarle
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - David Pellman
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
9
|
Batalini F, Gulhan DC, Mao V, Tran A, Polak M, Xiong N, Tayob N, Tung NM, Winer EP, Mayer EL, Knappskog S, Lønning PE, Matulonis UA, Konstantinopoulos PA, Solit DB, Won H, Eikesdal HP, Park PJ, Wulf GM. Mutational Signature 3 Detected from Clinical Panel Sequencing is Associated with Responses to Olaparib in Breast and Ovarian Cancers. Clin Cancer Res 2022; 28:4714-4723. [PMID: 36048535 PMCID: PMC9623231 DOI: 10.1158/1078-0432.ccr-22-0749] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 05/05/2022] [Accepted: 08/29/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE The identification of patients with homologous recombination deficiency (HRD) beyond BRCA1/2 mutations is an urgent task, as they may benefit from PARP inhibitors. We have previously developed a method to detect mutational signature 3 (Sig3), termed SigMA, associated with HRD from clinical panel sequencing data, that is able to reliably detect HRD from the limited sequencing data derived from gene-focused panel sequencing. EXPERIMENTAL DESIGN We apply this method to patients from two independent datasets: (i) high-grade serous ovarian cancer and triple-negative breast cancer (TNBC) from a phase Ib trial of the PARP inhibitor olaparib in combination with the PI3K inhibitor buparlisib (BKM120; NCT01623349), and (ii) TNBC patients who received neoadjuvant olaparib in the phase II PETREMAC trial (NCT02624973). RESULTS We find that Sig3 as detected by SigMA is positively associated with improved progression-free survival and objective responses. In addition, comparison of Sig3 detection in panel and exome-sequencing data from the same patient samples demonstrated highly concordant results and superior performance in comparison with the genomic instability score. CONCLUSIONS Our analyses demonstrate that HRD can be detected reliably from panel-sequencing data that are obtained as part of routine clinical care, and that this approach can identify patients beyond those with germline BRCA1/2mut who might benefit from PARP inhibitors. Prospective clinical utility testing is warranted.
Collapse
Affiliation(s)
- Felipe Batalini
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Beth Israel Deaconess Medical Center, Division of Medical Oncology and Cancer Research Institute, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Doga C. Gulhan
- Harvard Medical School, Department of Biomedical Informatics, Boston, Massachusetts
| | - Victor Mao
- Harvard Medical School, Department of Biomedical Informatics, Boston, Massachusetts
| | - Antuan Tran
- Harvard Medical School, Department of Biomedical Informatics, Boston, Massachusetts
| | - Madeline Polak
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, Massachusetts
| | - Niya Xiong
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Dana-Farber Cancer Institute, Department of Data Sciences, Boston, Massachusetts
| | - Nabihah Tayob
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Dana-Farber Cancer Institute, Department of Data Sciences, Boston, Massachusetts
| | - Nadine M. Tung
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Beth Israel Deaconess Medical Center, Division of Medical Oncology and Cancer Research Institute, Boston, Massachusetts
| | - Eric P. Winer
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, Massachusetts
| | - Erica L. Mayer
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, Massachusetts
| | - Stian Knappskog
- University of Bergen, Department of Clinical Science, Bergen, Norway
| | - Per E. Lønning
- University of Bergen, Department of Clinical Science, Bergen, Norway
| | - Ursula A. Matulonis
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Dana-Farber Cancer Institute, Department of Gynecologic Oncology, Boston, Massachusetts
| | - Panagiotis A. Konstantinopoulos
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Dana-Farber Cancer Institute, Department of Gynecologic Oncology, Boston, Massachusetts
| | - David B. Solit
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Helen Won
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hans P. Eikesdal
- University of Bergen, Department of Clinical Science, Bergen, Norway
| | - Peter J. Park
- Harvard Medical School, Department of Biomedical Informatics, Boston, Massachusetts
| | - Gerburg M. Wulf
- Harvard Medical School, Department of Medicine, Boston, Massachusetts
- Beth Israel Deaconess Medical Center, Division of Medical Oncology and Cancer Research Institute, Boston, Massachusetts
| |
Collapse
|
10
|
Cook JH, Melloni GEM, Gulhan DC, Park PJ, Haigis KM. The origins and genetic interactions of KRAS mutations are allele- and tissue-specific. Nat Commun 2021; 12:1808. [PMID: 33753749 PMCID: PMC7985210 DOI: 10.1038/s41467-021-22125-z] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 03/01/2021] [Indexed: 02/07/2023] Open
Abstract
Mutational activation of KRAS promotes the initiation and progression of cancers, especially in the colorectum, pancreas, lung, and blood plasma, with varying prevalence of specific activating missense mutations. Although epidemiological studies connect specific alleles to clinical outcomes, the mechanisms underlying the distinct clinical characteristics of mutant KRAS alleles are unclear. Here, we analyze 13,492 samples from these four tumor types to examine allele- and tissue-specific genetic properties associated with oncogenic KRAS mutations. The prevalence of known mutagenic mechanisms partially explains the observed spectrum of KRAS activating mutations. However, there are substantial differences between the observed and predicted frequencies for many alleles, suggesting that biological selection underlies the tissue-specific frequencies of mutant alleles. Consistent with experimental studies that have identified distinct signaling properties associated with each mutant form of KRAS, our genetic analysis reveals that each KRAS allele is associated with a distinct tissue-specific comutation network. Moreover, we identify tissue-specific genetic dependencies associated with specific mutant KRAS alleles. Overall, this analysis demonstrates that the genetic interactions of oncogenic KRAS mutations are allele- and tissue-specific, underscoring the complexity that drives their clinical consequences.
Collapse
Affiliation(s)
- Joshua H Cook
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Giorgio E M Melloni
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
| | - Kevin M Haigis
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Broad Institute, Cambridge, MA, USA.
- Harvard Digestive Disease Center, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
11
|
Rodin RE, Dou Y, Kwon M, Sherman MA, D'Gama AM, Doan RN, Rento LM, Girskis KM, Bohrson CL, Kim SN, Nadig A, Luquette LJ, Gulhan DC, Park PJ, Walsh CA. The landscape of somatic mutation in cerebral cortex of autistic and neurotypical individuals revealed by ultra-deep whole-genome sequencing. Nat Neurosci 2021; 24:176-185. [PMID: 33432195 PMCID: PMC7983596 DOI: 10.1038/s41593-020-00765-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 11/21/2020] [Indexed: 01/29/2023]
Abstract
We characterize the landscape of somatic mutations-mutations occurring after fertilization-in the human brain using ultra-deep (~250×) whole-genome sequencing of prefrontal cortex from 59 donors with autism spectrum disorder (ASD) and 15 control donors. We observe a mean of 26 somatic single-nucleotide variants per brain present in ≥4% of cells, with enrichment of mutations in coding and putative regulatory regions. Our analysis reveals that the first cell division after fertilization produces ~3.4 mutations, followed by 2-3 mutations in subsequent generations. This suggests that a typical individual possesses ~80 somatic single-nucleotide variants present in ≥2% of cells-comparable to the number of de novo germline mutations per generation-with about half of individuals having at least one potentially function-altering somatic mutation somewhere in the cortex. ASD brains show an excess of somatic mutations in neural enhancer sequences compared with controls, suggesting that mosaic enhancer mutations may contribute to ASD risk.
Collapse
Affiliation(s)
- Rachel E Rodin
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Yanmei Dou
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Minseok Kwon
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Maxwell A Sherman
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alissa M D'Gama
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Ryan N Doan
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
| | - Lariza M Rento
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Kelly M Girskis
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Craig L Bohrson
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Sonia N Kim
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Ajay Nadig
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Lovelace J Luquette
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.
| | - Christopher A Walsh
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA.
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| |
Collapse
|
12
|
Färkkilä A, Rodríguez A, Oikkonen J, Gulhan DC, Nguyen H, Domínguez J, Ramos S, Mills CE, Pérez-Villatoro F, Lazaro JB, Zhou J, Clairmont CS, Moreau LA, Park PJ, Sorger PK, Hautaniemi S, Frias S, D'Andrea AD. Heterogeneity and Clonal Evolution of Acquired PARP Inhibitor Resistance in TP53- and BRCA1-Deficient Cells. Cancer Res 2021; 81:2774-2787. [PMID: 33514515 DOI: 10.1158/0008-5472.can-20-2912] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 12/17/2020] [Accepted: 01/25/2021] [Indexed: 12/13/2022]
Abstract
Homologous recombination (HR)-deficient cancers are sensitive to poly-ADP ribose polymerase inhibitors (PARPi), which have shown clinical efficacy in the treatment of high-grade serous cancers (HGSC). However, the majority of patients will relapse, and acquired PARPi resistance is emerging as a pressing clinical problem. Here we generated seven single-cell clones with acquired PARPi resistance derived from a PARPi-sensitive TP53 -/- and BRCA1 -/- epithelial cell line generated using CRISPR/Cas9. These clones showed diverse resistance mechanisms, and some clones presented with multiple mechanisms of resistance at the same time. Genomic analysis of the clones revealed unique transcriptional and mutational profiles and increased genomic instability in comparison with a PARPi-sensitive cell line. Clonal evolutionary analyses suggested that acquired PARPi resistance arose via clonal selection from an intrinsically unstable and heterogenous cell population in the sensitive cell line, which contained preexisting drug-tolerant cells. Similarly, clonal and spatial heterogeneity in tumor biopsies from a clinical patient with BRCA1-mutant HGSC with acquired PARPi resistance was observed. In an imaging-based drug screening, the clones showed heterogenous responses to targeted therapeutic agents, indicating that not all PARPi-resistant clones can be targeted with just one therapy. Furthermore, PARPi-resistant clones showed mechanism-dependent vulnerabilities to the selected agents, demonstrating that a deeper understanding on the mechanisms of resistance could lead to improved targeting and biomarkers for HGSC with acquired PARPi resistance. SIGNIFICANCE: This study shows that BRCA1-deficient cells can give rise to multiple genomically and functionally heterogenous PARPi-resistant clones, which are associated with various vulnerabilities that can be targeted in a mechanism-specific manner.
Collapse
Affiliation(s)
- Anniina Färkkilä
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Research Program in Systems Oncology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Alfredo Rodríguez
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.,Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Jaana Oikkonen
- Research Program in Systems Oncology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | | | - Huy Nguyen
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Julieta Domínguez
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Sandra Ramos
- Laboratorio de Citogenética, Instituto Nacional de Pediatría, Ciudad de México, México
| | - Caitlin E Mills
- Laboratory of Systems Pharmacology, Harvard Medical School, Massachusetts
| | - Fernando Pérez-Villatoro
- Research Program in Systems Oncology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jean-Bernard Lazaro
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Jia Zhou
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Connor S Clairmont
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Lisa A Moreau
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | | | - Peter K Sorger
- Laboratory of Systems Pharmacology, Harvard Medical School, Massachusetts
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sara Frias
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México, México.,Laboratorio de Citogenética, Instituto Nacional de Pediatría, Ciudad de México, México
| | - Alan D D'Andrea
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
| |
Collapse
|
13
|
Färkkilä A, Gulhan DC, Casado J, Jacobson CA, Nguyen H, Kochupurakkal B, Maliga Z, Yapp C, Chen YA, Schapiro D, Zhou Y, Graham JR, Dezube BJ, Munster P, Santagata S, Garcia E, Rodig S, Lako A, Chowdhury D, Shapiro GI, Matulonis UA, Park PJ, Hautaniemi S, Sorger PK, Swisher EM, D'Andrea AD, Konstantinopoulos PA. Author Correction: Immunogenomic profiling determines responses to combined PARP and PD-1 inhibition in ovarian cancer. Nat Commun 2020; 11:2543. [PMID: 32424117 PMCID: PMC7235235 DOI: 10.1038/s41467-020-16344-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Collapse
Affiliation(s)
- Anniina Färkkilä
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA.,Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA.,Research Program in Systems Oncology, University of Helsinki, Haartmaninkatu 8, 00014, Helsinki, Finland.,Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Doga C Gulhan
- Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA
| | - Julia Casado
- Research Program in Systems Oncology, University of Helsinki, Haartmaninkatu 8, 00014, Helsinki, Finland
| | - Connor A Jacobson
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Huy Nguyen
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Bose Kochupurakkal
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Zoltan Maliga
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Clarence Yapp
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Yu-An Chen
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Denis Schapiro
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Yinghui Zhou
- TESARO: A GSK company, 1000 Winter Street, Waltham, MA, 02451, USA
| | - Julie R Graham
- TESARO: A GSK company, 1000 Winter Street, Waltham, MA, 02451, USA
| | - Bruce J Dezube
- TESARO: A GSK company, 1000 Winter Street, Waltham, MA, 02451, USA
| | - Pamela Munster
- Helen Diller Family Comprehensive Cancer Center, 1450 3rd Street, San Francisco, CA, 94158, USA
| | - Sandro Santagata
- Brigham and Women's Hospital, Laboratory for Systems Pharmacology, 75 Francis Street, Boston, MA, 02115, USA
| | - Elizabeth Garcia
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Scott Rodig
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Ana Lako
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Dipanjan Chowdhury
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Geoffrey I Shapiro
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Ursula A Matulonis
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, University of Helsinki, Haartmaninkatu 8, 00014, Helsinki, Finland
| | - Peter K Sorger
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | | | - Alan D D'Andrea
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA.
| | | |
Collapse
|
14
|
Gulhan DC, Garcia E, Lee EK, Lindemann NI, Liu JF, Matulonis UA, Park PJ, Konstantinopoulos PA. Genomic Determinants of De Novo Resistance to Immune Checkpoint Blockade in Mismatch Repair-Deficient Endometrial Cancer. JCO Precis Oncol 2020; 4:492-497. [PMID: 32494760 PMCID: PMC7269172 DOI: 10.1200/po.20.00009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
|
15
|
Färkkilä A, Gulhan DC, Casado J, Jacobson CA, Nguyen H, Kochupurakkal B, Maliga Z, Yapp C, Chen YA, Schapiro D, Zhou Y, Graham JR, Dezube BJ, Munster P, Santagata S, Garcia E, Rodig S, Lako A, Chowdhury D, Shapiro GI, Matulonis UA, Park PJ, Hautaniemi S, Sorger PK, Swisher EM, D'Andrea AD, Konstantinopoulos PA. Immunogenomic profiling determines responses to combined PARP and PD-1 inhibition in ovarian cancer. Nat Commun 2020; 11:1459. [PMID: 32193378 PMCID: PMC7081234 DOI: 10.1038/s41467-020-15315-8] [Citation(s) in RCA: 155] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 02/26/2020] [Indexed: 11/09/2022] Open
Abstract
Combined PARP and immune checkpoint inhibition has yielded encouraging results in ovarian cancer, but predictive biomarkers are lacking. We performed immunogenomic profiling and highly multiplexed single-cell imaging on tumor samples from patients enrolled in a Phase I/II trial of niraparib and pembrolizumab in ovarian cancer (NCT02657889). We identify two determinants of response; mutational signature 3 reflecting defective homologous recombination DNA repair, and positive immune score as a surrogate of interferon-primed exhausted CD8 + T-cells in the tumor microenvironment. Presence of one or both features associates with an improved outcome while concurrent absence yields no responses. Single-cell spatial analysis reveals prominent interactions of exhausted CD8 + T-cells and PD-L1 + macrophages and PD-L1 + tumor cells as mechanistic determinants of response. Furthermore, spatial analysis of two extreme responders shows differential clustering of exhausted CD8 + T-cells with PD-L1 + macrophages in the first, and exhausted CD8 + T-cells with cancer cells harboring genomic PD-L1 and PD-L2 amplification in the second.
Collapse
Affiliation(s)
- Anniina Färkkilä
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA.,Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA.,Research Program in Systems Oncology, University of Helsinki, Haartmaninkatu 8, 00014, Helsinki, Finland.,Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Doga C Gulhan
- Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA
| | - Julia Casado
- Research Program in Systems Oncology, University of Helsinki, Haartmaninkatu 8, 00014, Helsinki, Finland
| | - Connor A Jacobson
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Huy Nguyen
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Bose Kochupurakkal
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Zoltan Maliga
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Clarence Yapp
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Yu-An Chen
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Denis Schapiro
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | - Yinghui Zhou
- TESARO: A GSK company, 1000 Winter Street, Waltham, MA, 02451, USA
| | - Julie R Graham
- TESARO: A GSK company, 1000 Winter Street, Waltham, MA, 02451, USA
| | - Bruce J Dezube
- TESARO: A GSK company, 1000 Winter Street, Waltham, MA, 02451, USA
| | - Pamela Munster
- Helen Diller Family Comprehensive Cancer Center, 1450 3rd Street, San Francisco, CA, 94158, USA
| | - Sandro Santagata
- Brigham and Women's Hospital, Laboratory for Systems Pharmacology, 75 Francis Street, Boston, MA, 02115, USA
| | - Elizabeth Garcia
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Scott Rodig
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Ana Lako
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Dipanjan Chowdhury
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Geoffrey I Shapiro
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Ursula A Matulonis
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, University of Helsinki, Haartmaninkatu 8, 00014, Helsinki, Finland
| | - Peter K Sorger
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, 200 Longwood Avenue, MA, 02115, USA
| | | | - Alan D D'Andrea
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA.
| | | |
Collapse
|
16
|
Konstantinopoulos PA, Luo W, Liu JF, Gulhan DC, Krasner C, Ishizuka JJ, Gockley AA, Buss M, Growdon WB, Crowe H, Campos S, Lindeman NI, Hill S, Stover E, Schumer S, Wright AA, Curtis J, Quinn R, Whalen C, Gray KP, Penson RT, Cannistra SA, Fleming GF, Matulonis UA. Phase II Study of Avelumab in Patients With Mismatch Repair Deficient and Mismatch Repair Proficient Recurrent/Persistent Endometrial Cancer. J Clin Oncol 2019; 37:2786-2794. [PMID: 31461377 PMCID: PMC9798913 DOI: 10.1200/jco.19.01021] [Citation(s) in RCA: 128] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
PURPOSE Despite the tissue-agnostic approval of pembrolizumab in mismatch repair deficient (MMRD) solid tumors, important unanswered questions remain about the role of immune checkpoint blockade in mismatch repair-proficient (MMRP) and -deficient endometrial cancer (EC). METHODS This phase II study evaluated the PD-L1 inhibitor avelumab in two cohorts of patients with EC: (1) MMRD/POLE (polymerase ε) cohort, as defined by immunohistochemical (IHC) loss of expression of one or more mismatch repair (MMR) proteins and/or documented mutation in the exonuclease domain of POLE; and (2) MMRP cohort with normal IHC expression of all MMR proteins. Coprimary end points were objective response (OR) and progression-free survival at 6 months (PFS6). Avelumab 10 mg/kg intravenously was administered every 2 weeks until progression or unacceptable toxicity. RESULTS Thirty-three patients were enrolled. No patient with POLE-mutated tumor was enrolled in the MMRD cohort, and all MMRP tumors were not POLE-mutated. The MMRP cohort was closed at the first stage because of futility: Only one of 16 patients exhibited both OR and PFS6 responses. The MMRD cohort met the predefined primary end point of four ORs after accrual of only 17 patients; of 15 patients who initiated avelumab, four exhibited OR (one complete response, three partial responses; OR rate, 26.7%; 95% CI, 7.8% to 55.1%) and six (including all four ORs) PFS6 responses (PFS6, 40.0%; 95% CI, 16.3% to 66.7%), four of which are ongoing as of data cutoff date. Responses were observed in the absence of PD-L1 expression. IHC captured all cases of MMRD subsequently determined by polymerase chain reaction or genomically via targeted sequencing. CONCLUSION Avelumab exhibited promising activity in MMRD EC regardless of PD-L1 status. IHC for MMR assessment is a useful tool for patient selection. The activity of avelumab in MMRP/non-POLE-mutated ECs was low.
Collapse
Affiliation(s)
- Panagiotis A. Konstantinopoulos
- Dana-Farber Cancer Institute, Boston, MA,Panagiotis A. Konstantinopoulos, MD, PhD, Dana-Farber Cancer Institute, Harvard Medical School, Yawkey Center for Cancer Care, YC-1424, 450 Brookline Ave, Boston, MA, 02215; e-mail:
| | - Weixiu Luo
- Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | | | - Mary Buss
- Beth Israel Deaconess Medical Center, Boston, MA
| | | | | | | | | | - Sarah Hill
- Brigham and Women’s Hospital, Boston, MA
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
17
|
Gulhan DC, Lee JJK, Melloni GEM, Cortés-Ciriano I, Park PJ. Detecting the mutational signature of homologous recombination deficiency in clinical samples. Nat Genet 2019; 51:912-919. [DOI: 10.1038/s41588-019-0390-2] [Citation(s) in RCA: 124] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 02/13/2019] [Indexed: 11/09/2022]
|
18
|
Bohrson CL, Barton AR, Lodato MA, Rodin RE, Luquette LJ, Viswanadham VV, Gulhan DC, Cortés-Ciriano I, Sherman MA, Kwon M, Coulter ME, Galor A, Walsh CA, Park PJ. Linked-read analysis identifies mutations in single-cell DNA-sequencing data. Nat Genet 2019; 51:749-754. [PMID: 30886424 DOI: 10.1038/s41588-019-0366-2] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 02/01/2019] [Indexed: 01/13/2023]
Abstract
Whole-genome sequencing of DNA from single cells has the potential to reshape our understanding of mutational heterogeneity in normal and diseased tissues. However, a major difficulty is distinguishing amplification artifacts from biologically derived somatic mutations. Here, we describe linked-read analysis (LiRA), a method that accurately identifies somatic single-nucleotide variants (sSNVs) by using read-level phasing with nearby germline heterozygous polymorphisms, thereby enabling the characterization of mutational signatures and estimation of somatic mutation rates in single cells.
Collapse
Affiliation(s)
- 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
| | - Alison R Barton
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.,Bioinformatics and Integrative Genomics PhD Program, Harvard Medical School, Boston, MA, USA
| | - Michael A Lodato
- Division of Genetics and Genomics, Manton Center for Orphan Disease, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA.,Departments of Neurology and Pediatrics, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA
| | - Rachel E Rodin
- Division of Genetics and Genomics, Manton Center for Orphan Disease, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA.,Departments of Neurology and Pediatrics, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA.,Program in Neuroscience and Harvard/MIT MD-PHD Program, Harvard Medical School, Boston, MA, USA
| | - Lovelace J Luquette
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.,Bioinformatics and Integrative Genomics PhD Program, Harvard Medical School, Boston, MA, USA
| | - Vinay V Viswanadham
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.,Bioinformatics and Integrative Genomics PhD Program, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Isidro Cortés-Ciriano
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.,Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Maxwell A Sherman
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Minseok Kwon
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Michael E Coulter
- Division of Genetics and Genomics, Manton Center for Orphan Disease, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA.,Departments of Neurology and Pediatrics, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA.,Program in Neuroscience and Harvard/MIT MD-PHD Program, Harvard Medical School, Boston, MA, USA
| | - Alon Galor
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Christopher A Walsh
- Division of Genetics and Genomics, Manton Center for Orphan Disease, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA.,Departments of Neurology and Pediatrics, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|