1
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Ma W, Tang W, Kwok JS, Tong AH, Lo CW, Chu AT, Chung BH. A review on trends in development and translation of omics signatures in cancer. Comput Struct Biotechnol J 2024; 23:954-971. [PMID: 38385061 PMCID: PMC10879706 DOI: 10.1016/j.csbj.2024.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/23/2024] Open
Abstract
The field of cancer genomics and transcriptomics has evolved from targeted profiling to swift sequencing of individual tumor genome and transcriptome. The steady growth in genome, epigenome, and transcriptome datasets on a genome-wide scale has significantly increased our capability in capturing signatures that represent both the intrinsic and extrinsic biological features of tumors. These biological differences can help in precise molecular subtyping of cancer, predicting tumor progression, metastatic potential, and resistance to therapeutic agents. In this review, we summarized the current development of genomic, methylomic, transcriptomic, proteomic and metabolic signatures in the field of cancer research and highlighted their potentials in clinical applications to improve diagnosis, prognosis, and treatment decision in cancer patients.
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Affiliation(s)
- Wei Ma
- Hong Kong Genome Institute, Hong Kong, China
| | - Wenshu Tang
- Hong Kong Genome Institute, Hong Kong, China
| | | | | | | | | | - Brian H.Y. Chung
- Hong Kong Genome Institute, Hong Kong, China
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Hong Kong Genome Project
- Hong Kong Genome Institute, Hong Kong, China
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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2
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Deyell RJ, Shen Y, Titmuss E, Dixon K, Williamson LM, Pleasance E, Nelson JMT, Abbasi S, Krzywinski M, Armstrong L, Bonakdar M, Ch'ng C, Chuah E, Dunham C, Fok A, Jones M, Lee AF, Ma Y, Moore RA, Mungall AJ, Mungall KL, Rogers PC, Schrader KA, Virani A, Wee K, Young SS, Zhao Y, Jones SJM, Laskin J, Marra MA, Rassekh SR. Whole genome and transcriptome integrated analyses guide clinical care of pediatric poor prognosis cancers. Nat Commun 2024; 15:4165. [PMID: 38755180 PMCID: PMC11099106 DOI: 10.1038/s41467-024-48363-5] [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: 05/08/2023] [Accepted: 04/29/2024] [Indexed: 05/18/2024] Open
Abstract
The role for routine whole genome and transcriptome analysis (WGTA) for poor prognosis pediatric cancers remains undetermined. Here, we characterize somatic mutations, structural rearrangements, copy number variants, gene expression, immuno-profiles and germline cancer predisposition variants in children and adolescents with relapsed, refractory or poor prognosis malignancies who underwent somatic WGTA and matched germline sequencing. Seventy-nine participants with a median age at enrollment of 8.8 y (range 6 months to 21.2 y) are included. Germline pathogenic/likely pathogenic variants are identified in 12% of participants, of which 60% were not known prior. Therapeutically actionable variants are identified by targeted gene report and whole genome in 32% and 62% of participants, respectively, and increase to 96% after integrating transcriptome analyses. Thirty-two molecularly informed therapies are pursued in 28 participants with 54% achieving a clinical benefit rate; objective response or stable disease ≥6 months. Integrated WGTA identifies therapeutically actionable variants in almost all tumors and are directly translatable to clinical care of children with poor prognosis cancers.
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Affiliation(s)
- Rebecca J Deyell
- Department of Pediatrics, BC Children's Hospital and Research Institute, Vancouver, BC, Canada.
| | - Yaoqing Shen
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Emma Titmuss
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Katherine Dixon
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Laura M Williamson
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Erin Pleasance
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Jessica M T Nelson
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Sanna Abbasi
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Martin Krzywinski
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Linlea Armstrong
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Melika Bonakdar
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Carolyn Ch'ng
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Eric Chuah
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Chris Dunham
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Alexandra Fok
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Martin Jones
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Anna F Lee
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Yussanne Ma
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Richard A Moore
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Andrew J Mungall
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Karen L Mungall
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Paul C Rogers
- Department of Pediatrics, BC Children's Hospital and Research Institute, Vancouver, BC, Canada
| | - Kasmintan A Schrader
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Alice Virani
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Kathleen Wee
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Sean S Young
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Cancer Genetics and Genomics Laboratory, Department of Pathology and Laboratory Medicine, BC Cancer, Vancouver, Canada
| | - Yongjun Zhao
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Steven J M Jones
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Janessa Laskin
- Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada
| | - Marco A Marra
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Shahrad R Rassekh
- Department of Pediatrics, BC Children's Hospital and Research Institute, Vancouver, BC, Canada.
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3
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Payungwong T, Angkulkrerkkrai K, Chaiboonchoe A, Lausoontornsiri W, Jirawatnotai S, Chindavijak S. Comparison of mutation landscapes of pretreatment versus recurrent squamous cell carcinoma of the oral cavity: The possible mechanism of resistance to standard treatment. Cancer Rep (Hoboken) 2024; 7:e2004. [PMID: 38477073 DOI: 10.1002/cnr2.2004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/19/2023] [Accepted: 02/05/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND A high recurrent rate of oral squamous cell carcinoma (OSCC) is a major concern in head and neck cancer treatment. The study of the genetic mutation landscape in recurrent OSCC may provide information on certain mutations associated with the pathobiology and treatment response of the OSCC. AIM We investigated the mutation landscape of matched pretreatment and recurrent tumors to understand the influence of genetic mutations on the pathobiology and clinical outcomes in OSCC. METHODS AND RESULTS We sequenced 33 formalin-fixed paraffin-embedded (FFPE) recurrent tumors, primary tumors, and primary tumors before recurrence that matched the recurrent tumors collected from Rajavithi Hospital during 2019-2021. We identified recurrent mutations from these samples by the Oncomine Ion Torrent-based next-generation sequencing on the 517 cancer-associated gene panel. From the results, we found that the most commonly mutated gene in the cohort is a histone methyltransferase KMT2D (54.55%), implicating that aberrance in epigenetic regulation may play a role in oral cancer tumorigenesis. Functional protein association network analysis of the gene frequently mutated in the recurrent tumors showed enrichment of genes that regulate the cancer cell cycle, that is, MRE11A, CDKN2A, and CYLD. This finding was confirmed in the primary-recurring matched pair. We found that recurrent tumors possess a small but recurring group of genes, with presumably the subclonal mutations driving the recurrence of the tumor, suggesting that the recurrent disease originated from a small fraction of the cancer cell that survives standard treatment. These genes were absent in the primary tumor with a good response to the standard treatment. On the other hand, we found an enrichment of DNA repair genes, namely ATR, BRCA1, BRCA2, RAD50, and MUTYH, in nonrecurrent tumors suggesting that the mutations in the DNA repair pathway may at least partially explain the different response to the standard treatment. CONCLUSIONS Our pilot study identified pathways of carcinogenesis in oral cancer and specific gene sets that indicate treatment responses and prognoses in this group of patients.
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Affiliation(s)
- Tongchai Payungwong
- Siriraj Center of Research Excellence in Systems Pharmacology, Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Krittaya Angkulkrerkkrai
- Center of Excellence of Otolaryngology Head and Neck Surgery, Rajavithi Hospital, Bangkok, Thailand
| | - Amphun Chaiboonchoe
- Siriraj Center of Research Excellence in Systems Pharmacology, Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | | | - Siwanon Jirawatnotai
- Siriraj Center of Research Excellence in Systems Pharmacology, Department of Pharmacology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Somjin Chindavijak
- Center of Excellence of Otolaryngology Head and Neck Surgery, Rajavithi Hospital, Bangkok, Thailand
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4
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Liu Y, Bi X, Leng Y, Chen D, Wang J, Ma Y, Zhang MZ, Han BW, Li Y. A deep-learning-based genomic status estimating framework for homologous recombination deficiency detection from low-pass whole genome sequencing. Heliyon 2024; 10:e26121. [PMID: 38404843 PMCID: PMC10884843 DOI: 10.1016/j.heliyon.2024.e26121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/07/2024] [Indexed: 02/27/2024] Open
Abstract
Genome-wide sequencing allows for prediction of clinical treatment responses and outcomes by estimating genomic status. Here, we developed Genomic Status scan (GSscan), a long short-term memory (LSTM)-based deep-learning framework, which utilizes low-pass whole genome sequencing (WGS) data to capture genomic instability-related features. In this study, GSscan directly surveys homologous recombination deficiency (HRD) status independent of other existing biomarkers. In breast cancer, GSscan achieved an AUC of 0.980 in simulated low-pass WGS data, and obtained a higher HRD risk score in clinical BRCA-deficient breast cancer samples (p = 1.3 × 10-4, compared with BRCA-intact samples). In ovarian cancer, GSscan obtained higher HRD risk scores in BRCA-deficient samples in both simulated data and clinical samples (p = 2.3 × 10-5 and p = 0.039, respectively, compared with BRCA-intact samples). Moreover, HRD-positive patients predicted by GSscan showed longer progression-free intervals in TCGA datasets (p = 0.0011) treated with platinum-based adjuvant chemotherapy, outperforming existing low-pass WGS-based methods. Furthermore, GSscan can accurately predict HRD status using only 1 ng of input DNA and a minimum sequencing coverage of 0.02 × , providing a reliable, accessible, and cost-effective approach. In summary, GSscan effectively and accurately detected HRD status, and provide a broadly applicable framework for disease diagnosis and selecting appropriate disease treatment.
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Affiliation(s)
- Yang Liu
- Department of BC Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Xiang Bi
- Department of Breast Surgery, Yantai Yuhuangding Hospital, Yantai, Shandong, China
| | - Yang Leng
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Dan Chen
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Juan Wang
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Youjia Ma
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Min-Zhe Zhang
- GeneGenieDx Corp, 160 E Tasman Dr, San Jose, CA, USA
| | - Bo-Wei Han
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Yalun Li
- Department of Breast Surgery, Yantai Yuhuangding Hospital, Yantai, Shandong, China
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5
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Ali U, Vungarala S, Tiriveedhi V. Genomic Features of Homologous Recombination Deficiency in Breast Cancer: Impact on Testing and Immunotherapy. Genes (Basel) 2024; 15:162. [PMID: 38397152 PMCID: PMC10887603 DOI: 10.3390/genes15020162] [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: 12/28/2023] [Revised: 01/21/2024] [Accepted: 01/24/2024] [Indexed: 02/25/2024] Open
Abstract
Genomic instability is one of the well-established hallmarks of cancer. The homologous recombination repair (HRR) pathway plays a critical role in correcting the double-stranded breaks (DSB) due to DNA damage in human cells. Traditionally, the BRCA1/2 genes in the HRR pathway have been tested for their association with breast cancer. However, defects in the HRR pathway (HRD, also termed 'BRCAness'), which has up to 50 genes, have been shown to be involved in tumorigenesis and treatment susceptibility to poly-ADP ribose polymerase inhibitors (PARPis), platinum-based chemotherapy, and immune checkpoint inhibitors (ICIs). A reliable consensus on HRD scores is yet to be established. Emerging evidence suggests that only a subset of breast cancer patients benefit from ICI-based immunotherapy. Currently, albeit with limitations, the expression of programmed death-ligand 1 (PDL1) and tumor mutational burden (TMB) are utilized as biomarkers to predict the favorable outcomes of ICI therapy in breast cancer patients. Preclinical studies demonstrate an interplay between the HRR pathway and PDL1 expression. In this review, we outline the current understanding of the role of HRD in genomic instability leading to breast tumorigenesis and delineate outcomes from various clinical trials. Furthermore, we discuss potential strategies for combining HRD-targeted therapy with immunotherapy to achieve the best healthcare outcomes in breast cancer patients.
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Affiliation(s)
- Umer Ali
- Department of Biological Sciences, Tennessee State University, Nashville, TN 37209, USA;
| | - Sunitha Vungarala
- Meharry-Vanderbilt Alliance, Vanderbilt University Medical Center, Nashville, TN 37209, USA;
| | - Venkataswarup Tiriveedhi
- Department of Biological Sciences, Tennessee State University, Nashville, TN 37209, USA;
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37209, USA
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6
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Tan J, Sun X, Zhao H, Guan H, Gao S, Zhou P. Double-strand DNA break repair: molecular mechanisms and therapeutic targets. MedComm (Beijing) 2023; 4:e388. [PMID: 37808268 PMCID: PMC10556206 DOI: 10.1002/mco2.388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 08/29/2023] [Accepted: 09/08/2023] [Indexed: 10/10/2023] Open
Abstract
Double-strand break (DSB), a significant DNA damage brought on by ionizing radiation, acts as an initiating signal in tumor radiotherapy, causing cancer cells death. The two primary pathways for DNA DSB repair in mammalian cells are nonhomologous end joining (NHEJ) and homologous recombination (HR), which cooperate and compete with one another to achieve effective repair. The DSB repair mechanism depends on numerous regulatory variables. DSB recognition and the recruitment of DNA repair components, for instance, depend on the MRE11-RAD50-NBS1 (MRN) complex and the Ku70/80 heterodimer/DNA-PKcs (DNA-PK) complex, whose control is crucial in determining the DSB repair pathway choice and efficiency of HR and NHEJ. In-depth elucidation on the DSB repair pathway's molecular mechanisms has greatly facilitated for creation of repair proteins or pathways-specific inhibitors to advance precise cancer therapy and boost the effectiveness of cancer radiotherapy. The architectures, roles, molecular processes, and inhibitors of significant target proteins in the DSB repair pathways are reviewed in this article. The strategy and application in cancer therapy are also discussed based on the advancement of inhibitors targeted DSB damage response and repair proteins.
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Affiliation(s)
- Jinpeng Tan
- Hengyang Medical CollegeUniversity of South ChinaHengyangHunan ProvinceChina
- Department of Radiation BiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijingChina
| | - Xingyao Sun
- Hengyang Medical CollegeUniversity of South ChinaHengyangHunan ProvinceChina
- Department of Radiation BiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijingChina
| | - Hongling Zhao
- Department of Radiation BiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijingChina
| | - Hua Guan
- Department of Radiation BiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijingChina
| | - Shanshan Gao
- Department of Radiation BiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijingChina
| | - Ping‐Kun Zhou
- Hengyang Medical CollegeUniversity of South ChinaHengyangHunan ProvinceChina
- Department of Radiation BiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijingChina
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7
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Edsjö A, Holmquist L, Geoerger B, Nowak F, Gomon G, Alix-Panabières C, Ploeger C, Lassen U, Le Tourneau C, Lehtiö J, Ott PA, von Deimling A, Fröhling S, Voest E, Klauschen F, Dienstmann R, Alshibany A, Siu LL, Stenzinger A. Precision cancer medicine: Concepts, current practice, and future developments. J Intern Med 2023; 294:455-481. [PMID: 37641393 DOI: 10.1111/joim.13709] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Precision cancer medicine is a multidisciplinary team effort that requires involvement and commitment of many stakeholders including the society at large. Building on the success of significant advances in precision therapy for oncological patients over the last two decades, future developments will be significantly shaped by improvements in scalable molecular diagnostics in which increasingly complex multilayered datasets require transformation into clinically useful information guiding patient management at fast turnaround times. Adaptive profiling strategies involving tissue- and liquid-based testing that account for the immense plasticity of cancer during the patient's journey and also include early detection approaches are already finding their way into clinical routine and will become paramount. A second major driver is the development of smart clinical trials and trial concepts which, complemented by real-world evidence, rapidly broaden the spectrum of therapeutic options. Tight coordination with regulatory agencies and health technology assessment bodies is crucial in this context. Multicentric networks operating nationally and internationally are key in implementing precision oncology in clinical practice and support developing and improving the ecosystem and framework needed to turn invocation into benefits for patients. The review provides an overview of the diagnostic tools, innovative clinical studies, and collaborative efforts needed to realize precision cancer medicine.
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Affiliation(s)
- Anders Edsjö
- Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office for Medical Services, Region Skåne, Lund, Sweden
- Division of Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Genomic Medicine Sweden (GMS), Kristianstad, Sweden
| | - Louise Holmquist
- Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office for Medical Services, Region Skåne, Lund, Sweden
- Genomic Medicine Sweden (GMS), Kristianstad, Sweden
| | - Birgit Geoerger
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
- INSERM U1015, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | | | - Georgy Gomon
- Department of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Medical Oncology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Catherine Alix-Panabières
- Laboratory of Rare Human Circulating Cells, University Medical Center of Montpellier, Montpellier, France
- CREEC, MIVEGEC, University of Montpellier, Montpellier, France
| | - Carolin Ploeger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
- Centers for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Ulrik Lassen
- Department of Oncology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Christophe Le Tourneau
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
- INSERM U900 Research Unit, Saint-Cloud, France
- Faculty of Medicine, Paris-Saclay University, Paris, France
| | - Janne Lehtiö
- Department of Oncology Pathology, Karolinska Institutet, Science for Life Laboratory, Stockholm, Sweden
| | - Patrick A Ott
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Andreas von Deimling
- Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan Fröhling
- Division of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Emile Voest
- Department of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Frederick Klauschen
- Institute of Pathology, Charite - Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- BIFOLD - Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
- Institute of Pathology, Ludwig-Maximilians-University, Munich, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Munich Partner Site, Heidelberg, Germany
| | | | | | - Lillian L Siu
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Albrecht Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
- Centers for Personalized Medicine (ZPM), Heidelberg, Germany
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8
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Li W, Gao L, Yi X, Shi S, Huang J, Shi L, Zhou X, Wu L, Ying J. Patient Assessment and Therapy Planning Based on Homologous Recombination Repair Deficiency. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:962-975. [PMID: 36791952 PMCID: PMC10928375 DOI: 10.1016/j.gpb.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 12/23/2022] [Accepted: 02/05/2023] [Indexed: 02/16/2023]
Abstract
Defects in genes involved in the DNA damage response cause homologous recombination repair deficiency (HRD). HRD is found in a subgroup of cancer patients for several tumor types, and it has a clinical relevance to cancer prevention and therapies. Accumulating evidence has identified HRD as a biomarker for assessing the therapeutic response of tumor cells to poly(ADP-ribose) polymerase inhibitors and platinum-based chemotherapies. Nevertheless, the biology of HRD is complex, and its applications and the benefits of different HRD biomarker assays are controversial. This is primarily due to inconsistencies in HRD assessments and definitions (gene-level tests, genomic scars, mutational signatures, or a combination of these methods) and difficulties in assessing the contribution of each genomic event. Therefore, we aim to review the biological rationale and clinical evidence of HRD as a biomarker. This review provides a blueprint for the standardization and harmonization of HRD assessments.
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Affiliation(s)
- Wenbin Li
- Department of Pathology, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Lin Gao
- Geneplus-Shenzhen, Shenzhen 518000, China; Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xin Yi
- Geneplus-Beijing, Beijing 102206, China
| | | | - Jie Huang
- National Institutes for Food and Drug Control, Beijing 100050, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Xiaoyan Zhou
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Lingying Wu
- Department of Gynecologic Oncology, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jianming Ying
- Department of Pathology, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
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9
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Yang F, Wei W, Li G, Lan Q, Liu X, Gao L, Zhang C, Fan J, Li J. A novel marker integrating multiple genetic alterations better predicts platinum sensitivity in ovarian cancer than HRD score. Front Genet 2023; 14:1240068. [PMID: 37732324 PMCID: PMC10508345 DOI: 10.3389/fgene.2023.1240068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/17/2023] [Indexed: 09/22/2023] Open
Abstract
Introduction: Platinum-based chemotherapy is the first-line treatment strategy for ovarian cancer patients. The dismal prognosis of ovarian cancer was shown to be stringently associated with the heterogeneity of tumor cells in response to this therapy, therefore understanding platinum sensitivity in ovarian cancer would be helpful for improving patients' quality of life and clinical outcomes. HRDetect, utilized to characterize patients' homologous recombination repair deficiency, was used to predict patients' response to platinum-based chemotherapy. However, whether each of the single features contributing to HRD score is associated with platinum sensitivity remains elusive. Methods: We analyzed the whole-exome sequencing data of 196 patients who received platinum-based chemotherapy from the TCGA database. Genetic features were determined individually to see if they could indicate patients' response to platinum-based chemotherapy and prognosis, then integrated into a Pt-score employing LASSO regression model to assess its predictive performance. Results and discussion: Multiple genetic features, including bi-allelic inactivation of BRCA1/2 genes and genes involved in HR pathway, multiple somatic mutations in genes involved in DNA damage repair (DDR), and previously reported HRD-related features, were found to be stringently associated with platinum sensitivity and improved prognosis. Higher contributions of mutational signature SBS39 or ID6 predicted improved overall survival. Besides, arm-level loss of heterozygosity (LOH) of either chr4p or chr5q predicted significantly better disease-free survival. Notably, some of these features were found independent of HRD. And SBS3, an HRD-related feature, was found irrelevant to platinum sensitivity. Integrated all candidate markers using the LASSO model to yield a Pt-score, which showed better predictive ability compared to HRDetect in determining platinum sensitivity and predicting patients' prognosis, and this performance was validated in an independent cohort. The outcomes of our study will be instrumental in devising effective strategies for treating ovarian cancer with platinum-based chemotherapy.
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Affiliation(s)
- Fan Yang
- Department of Gynecologic Oncology, Sun Yat-sen University Cancer Centre, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China
| | - Wei Wei
- Department of Gynecologic Oncology, Sun Yat-sen University Cancer Centre, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China
| | - Ganghua Li
- GenePlus-Shenzhen, Shenzhen, Guangdong, China
| | - Qiongyu Lan
- Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xiwei Liu
- GenePlus-Shenzhen, Shenzhen, Guangdong, China
| | - Lin Gao
- GenePlus-Shenzhen, Shenzhen, Guangdong, China
| | - Chao Zhang
- GenePlus-Shenzhen, Shenzhen, Guangdong, China
| | - Jiangtao Fan
- Department of Gynecology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Jundong Li
- Department of Gynecologic Oncology, Sun Yat-sen University Cancer Centre, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China
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10
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Romero JM, Titmuss E, Wang Y, Vafiadis J, Pacis A, Jang GH, Zhang A, Golesworthy B, Lenko T, Williamson LM, Grünwald B, O'Kane GM, Jones SJM, Marra MA, Wilson JM, Gallinger S, Laskin J, Zogopoulos G. Chemokine expression predicts T cell-inflammation and improved survival with checkpoint inhibition across solid cancers. NPJ Precis Oncol 2023; 7:73. [PMID: 37558751 PMCID: PMC10412582 DOI: 10.1038/s41698-023-00428-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 07/31/2023] [Indexed: 08/11/2023] Open
Abstract
Immune checkpoint inhibitors (ICI) are highly effective in specific cancers where canonical markers of antitumor immunity are used for patient selection. Improved predictors of T cell-inflammation are needed to identify ICI-responsive tumor subsets in additional cancer types. We investigated associations of a 4-chemokine expression signature (c-Score: CCL4, CCL5, CXCL9, CXCL10) with metrics of antitumor immunity across tumor types. Across cancer entities from The Cancer Genome Atlas, subgroups of tumors displayed high expression of the c-Score (c-Scorehi) with increased expression of immune checkpoint (IC) genes and transcriptional hallmarks of the cancer-immunity cycle. There was an incomplete association of the c-Score with high tumor mutation burden (TMB), with only 15% of c-Scorehi tumors displaying ≥10 mutations per megabase. In a heterogeneous pan-cancer cohort of 82 patients, with advanced and previously treated solid cancers, c-Scorehi tumors had a longer median time to progression (103 versus 72 days, P = 0.012) and overall survival (382 versus 196 days, P = 0.038) following ICI therapy initiation, compared to patients with low c-Score expression. We also found c-Score stratification to outperform TMB assignment for overall survival prediction (HR = 0.42 [0.22-0.79], P = 0.008 versus HR = 0.60 [0.29-1.27], P = 0.18, respectively). Assessment of the c-Score using the TIDE and PredictIO databases, which include ICI treatment outcomes from 10 tumor types, provided further support for the c-Score as a predictive ICI therapeutic biomarker. In summary, the c-Score identifies patients with hallmarks of T cell-inflammation and potential response to ICI treatment across cancer types, which is missed by TMB assignment.
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Affiliation(s)
- Joan Miguel Romero
- Research Institute of the McGill University Health Centre, Montréal, QC, Canada
- Rosalind and Morris Goodman Cancer Institute of McGill University, Montréal, QC, Canada
| | - Emma Titmuss
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Yifan Wang
- Research Institute of the McGill University Health Centre, Montréal, QC, Canada
- Rosalind and Morris Goodman Cancer Institute of McGill University, Montréal, QC, Canada
- Department of Surgery, McGill University, Montréal, QC, Canada
| | - James Vafiadis
- Research Institute of the McGill University Health Centre, Montréal, QC, Canada
- Rosalind and Morris Goodman Cancer Institute of McGill University, Montréal, QC, Canada
| | - Alain Pacis
- Rosalind and Morris Goodman Cancer Institute of McGill University, Montréal, QC, Canada
- Canadian Centre for Computational Genomics, McGill University and Genome Québec Innovation Centre, Montréal, QC, Canada
| | - Gun Ho Jang
- PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Amy Zhang
- PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Bryn Golesworthy
- Research Institute of the McGill University Health Centre, Montréal, QC, Canada
- Rosalind and Morris Goodman Cancer Institute of McGill University, Montréal, QC, Canada
| | - Tatiana Lenko
- Research Institute of the McGill University Health Centre, Montréal, QC, Canada
- Rosalind and Morris Goodman Cancer Institute of McGill University, Montréal, QC, Canada
| | - Laura M Williamson
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Barbara Grünwald
- Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Grainne M O'Kane
- PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, ON, Canada
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Steven J M Jones
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Marco A Marra
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Julie M Wilson
- PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Steven Gallinger
- PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, ON, Canada
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Janessa Laskin
- Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada
| | - George Zogopoulos
- Research Institute of the McGill University Health Centre, Montréal, QC, Canada.
- Rosalind and Morris Goodman Cancer Institute of McGill University, Montréal, QC, Canada.
- Department of Surgery, McGill University, Montréal, QC, Canada.
- Department of Oncology, McGill University, Montréal, QC, Canada.
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11
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Farmanbar A, Kneller R, Firouzi S. Mutational signatures reveal mutual exclusivity of homologous recombination and mismatch repair deficiencies in colorectal and stomach tumors. Sci Data 2023; 10:423. [PMID: 37393385 PMCID: PMC10314920 DOI: 10.1038/s41597-023-02331-8] [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: 03/01/2023] [Accepted: 06/26/2023] [Indexed: 07/03/2023] Open
Abstract
Decomposing somatic mutation spectra into mutational signatures and their corresponding etiologies provides a powerful approach for investigating the mechanism of DNA damage and repair. Assessing microsatellite (in)stability (MSI/MSS) status and interpreting their clinical relevance in different malignancies offers significant diagnostic and prognostic value. However, little is known about microsatellite (in)stability and its interactions with other DNA repair mechanisms such as homologous recombination (HR) in different cancer types. Based on whole-genome/exome mutational signature analysis, we showed HR deficiency (HRd) and mismatch repair deficiency (MMRd) occur in a significantly mutually exclusive manner in stomach and colorectal adenocarcinomas. ID11 signature with currently unknown etiology was prevalent in MSS tumors, co-occurred with HRd and was mutually exclusive with MMRd. Apolipoprotein B mRNA editing enzyme, Catalytic polypeptide-like (APOBEC) signature co-occurred with HRd and was mutually exclusive with MMRd in stomach tumors. The HRd signature in MSS tumors and the MMRd signature in MSI tumors were the first or second dominant signatures wherever detected. HRd may drive a distinct subgroup of MSS tumors and lead to poor clinical outcome. These analyses offer insight into mutational signatures in MSI and MMS tumors and reveal opportunities for improved clinical diagnosis and personalized treatment of MSS tumors.
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Affiliation(s)
- Amir Farmanbar
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
- Research Center for Advanced Science and Technology, University of Tokyo, Minato-ku, Tokyo, 153-8904, Japan
| | - Robert Kneller
- Research Center for Advanced Science and Technology, University of Tokyo, Minato-ku, Tokyo, 153-8904, Japan
| | - Sanaz Firouzi
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
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12
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Andersen LVB, Larsen MJ, Davies H, Degasperi A, Nielsen HR, Jensen LA, Kroeldrup L, Gerdes AM, Lænkholm AV, Kruse TA, Nik-Zainal S, Thomassen M. Non-BRCA1/BRCA2 high-risk familial breast cancers are not associated with a high prevalence of BRCAness. Breast Cancer Res 2023; 25:69. [PMID: 37316882 DOI: 10.1186/s13058-023-01655-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 05/09/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND Familial breast cancer is in most cases unexplained due to the lack of identifiable pathogenic variants in the BRCA1 and BRCA2 genes. The somatic mutational landscape and in particular the extent of BRCA-like tumour features (BRCAness) in these familial breast cancers where germline BRCA1 or BRCA2 mutations have not been identified is to a large extent unknown. METHODS We performed whole-genome sequencing on matched tumour and normal samples from high-risk non-BRCA1/BRCA2 breast cancer families to understand the germline and somatic mutational landscape and mutational signatures. We measured BRCAness using HRDetect. As a comparator, we also analysed samples from BRCA1 and BRCA2 germline mutation carriers. RESULTS We noted for non-BRCA1/BRCA2 tumours, only a small proportion displayed high HRDetect scores and were characterized by concomitant promoter hypermethylation or in one case a RAD51D splice variant previously reported as having unknown significance to potentially explain their BRCAness. Another small proportion showed no features of BRCAness but had mutationally active tumours. The remaining tumours lacked features of BRCAness and were mutationally quiescent. CONCLUSIONS A limited fraction of high-risk familial non-BRCA1/BRCA2 breast cancer patients is expected to benefit from treatment strategies against homologue repair deficient cancer cells.
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Affiliation(s)
- Lars V B Andersen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Clinical Genome Center, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Martin J Larsen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Clinical Genome Center, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Helen Davies
- Hutchison Research Centre, Early Cancer Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0XZ, UK
- Academic Laboratory of Medical Genetics, Lv 6 Addenbrooke's Treatment Centre, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Andrea Degasperi
- Hutchison Research Centre, Early Cancer Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0XZ, UK
- Academic Laboratory of Medical Genetics, Lv 6 Addenbrooke's Treatment Centre, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | | | - Louise A Jensen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Clinical Genome Center, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Lone Kroeldrup
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Anne-Marie Gerdes
- Department of Clinical Genetics, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Anne-Vibeke Lænkholm
- Department of Surgical Pathology, Zealand University Hospital, 4000, Roskilde, Denmark
| | - Torben A Kruse
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Clinical Genome Center, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Serena Nik-Zainal
- Hutchison Research Centre, Early Cancer Institute, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0XZ, UK
- Academic Laboratory of Medical Genetics, Lv 6 Addenbrooke's Treatment Centre, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
- European Sperm Bank, Copenhagen, Denmark
| | - Mads Thomassen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
- Clinical Genome Center, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
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13
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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: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [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.
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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.
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14
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Tsang ES, Csizmok V, Williamson LM, Pleasance E, Topham JT, Karasinska JM, Titmuss E, Schrader I, Yip S, Tessier-Cloutier B, Mungall K, Ng T, Sun S, Lim HJ, Loree JM, Laskin J, Marra MA, Jones SJM, Schaeffer DF, Renouf DJ. Homologous recombination deficiency signatures in gastrointestinal and thoracic cancers correlate with platinum therapy duration. NPJ Precis Oncol 2023; 7:31. [PMID: 36964191 PMCID: PMC10039042 DOI: 10.1038/s41698-023-00368-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 03/08/2023] [Indexed: 03/26/2023] Open
Abstract
There is emerging evidence about the predictive role of homologous recombination deficiency (HRD), but this is less defined in gastrointestinal (GI) and thoracic malignancies. We reviewed whole genome (WGS) and transcriptomic (RNA-Seq) data from advanced GI and thoracic cancers in the Personalized OncoGenomics trial (NCT02155621) to evaluate HRD scores and single base substitution (SBS)3, which is associated with BRCA1/2 mutations and potentially predictive of defective HRD. HRD scores were calculated by sum of loss of heterozygosity, telomeric allelic imbalance, and large-scale state transitions scores. Regression analyses examined the association between HRD and time to progression on platinum (TTPp). We included 223 patients with GI (n = 154) or thoracic (n = 69) malignancies. TTPp was associated with SBS3 (p < 0.01) but not HRD score in patients with GI malignancies, whereas neither was associated with TTPp in thoracic malignancies. Tumors with gBRCA1/2 mutations and a somatic second alteration exhibited high SBS3 and HRD scores, but these signatures were also present in several tumors with germline but no somatic second alterations, suggesting silencing of the wild-type allele or BRCA1/2 haploinsufficiency. Biallelic inactivation of an HR gene, including loss of XRCC2 and BARD1, was identified in BRCA1/2 wild-type HRD tumors and these patients had prolonged response to platinum. Thoracic cases with high HRD score were associated with high RECQL5 expression (p ≤ 0.025), indicating another potential mechanism of HRD. SBS3 was more strongly associated with TTPp in patients with GI malignancies and may be complementary to using HRD and BRCA status in identifying patients who benefit from platinum therapy.
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Affiliation(s)
- Erica S Tsang
- Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada
- Pancreas Centre BC, Vancouver, BC, Canada
| | - Veronika Csizmok
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Laura M Williamson
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Erin Pleasance
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | | | | | - Emma Titmuss
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Intan Schrader
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Stephen Yip
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Basile Tessier-Cloutier
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Karen Mungall
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Tony Ng
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Sophie Sun
- Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada
| | - Howard J Lim
- Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada
| | - Jonathan M Loree
- Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada
| | - Janessa Laskin
- Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada
| | - Marco A Marra
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Steven J M Jones
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Vancouver, BC, Canada
| | - David F Schaeffer
- Pancreas Centre BC, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Daniel J Renouf
- Department of Medical Oncology, BC Cancer, Vancouver, BC, Canada.
- Pancreas Centre BC, Vancouver, BC, Canada.
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15
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Patterson A, Elbasir A, Tian B, Auslander N. Computational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications. Cancers (Basel) 2023; 15:cancers15071958. [PMID: 37046619 PMCID: PMC10093138 DOI: 10.3390/cancers15071958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 02/24/2023] [Accepted: 03/09/2023] [Indexed: 03/29/2023] Open
Abstract
Since the rise of next-generation sequencing technologies, the catalogue of mutations in cancer has been continuously expanding. To address the complexity of the cancer-genomic landscape and extract meaningful insights, numerous computational approaches have been developed over the last two decades. In this review, we survey the current leading computational methods to derive intricate mutational patterns in the context of clinical relevance. We begin with mutation signatures, explaining first how mutation signatures were developed and then examining the utility of studies using mutation signatures to correlate environmental effects on the cancer genome. Next, we examine current clinical research that employs mutation signatures and discuss the potential use cases and challenges of mutation signatures in clinical decision-making. We then examine computational studies developing tools to investigate complex patterns of mutations beyond the context of mutational signatures. We survey methods to identify cancer-driver genes, from single-driver studies to pathway and network analyses. In addition, we review methods inferring complex combinations of mutations for clinical tasks and using mutations integrated with multi-omics data to better predict cancer phenotypes. We examine the use of these tools for either discovery or prediction, including prediction of tumor origin, treatment outcomes, prognosis, and cancer typing. We further discuss the main limitations preventing widespread clinical integration of computational tools for the diagnosis and treatment of cancer. We end by proposing solutions to address these challenges using recent advances in machine learning.
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Affiliation(s)
- Andrew Patterson
- Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- The Wistar Institute, Philadelphia, PA 19104, USA
| | | | - Bin Tian
- The Wistar Institute, Philadelphia, PA 19104, USA
| | - Noam Auslander
- The Wistar Institute, Philadelphia, PA 19104, USA
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Correspondence:
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16
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Loeffler CML, El Nahhas OSM, Muti HS, Seibel T, Cifci D, van Treeck M, Gustav M, Carrero ZI, Gaisa NT, Lehmann KV, Leary A, Selenica P, Reis-Filho JS, Bruechle NO, Kather JN. Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.08.23286975. [PMID: 36945540 PMCID: PMC10029072 DOI: 10.1101/2023.03.08.23286975] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Background Homologous Recombination Deficiency (HRD) is a pan-cancer predictive biomarker that identifies patients who benefit from therapy with PARP inhibitors (PARPi). However, testing for HRD is highly complex. Here, we investigated whether Deep Learning can predict HRD status solely based on routine Hematoxylin & Eosin (H&E) histology images in ten cancer types. Methods We developed a fully automated deep learning pipeline with attention-weighted multiple instance learning (attMIL) to predict HRD status from histology images. A combined genomic scar HRD score, which integrated loss of heterozygosity (LOH), telomeric allelic imbalance (TAI) and large-scale state transitions (LST) was calculated from whole genome sequencing data for n=4,565 patients from two independent cohorts. The primary statistical endpoint was the Area Under the Receiver Operating Characteristic curve (AUROC) for the prediction of genomic scar HRD with a clinically used cutoff value. Results We found that HRD status is predictable in tumors of the endometrium, pancreas and lung, reaching cross-validated AUROCs of 0.79, 0.58 and 0.66. Predictions generalized well to an external cohort with AUROCs of 0.93, 0.81 and 0.73 respectively. Additionally, an HRD classifier trained on breast cancer yielded an AUROC of 0.78 in internal validation and was able to predict HRD in endometrial, prostate and pancreatic cancer with AUROCs of 0.87, 0.84 and 0.67 indicating a shared HRD-like phenotype is across tumor entities. Conclusion In this study, we show that HRD is directly predictable from H&E slides using attMIL within and across ten different tumor types.
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Affiliation(s)
- Chiara Maria Lavinia Loeffler
- Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
- Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universitat Dresden, Dresden, Germany
| | - Omar S M El Nahhas
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Hannah Sophie Muti
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
- Department for Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Tobias Seibel
- Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
| | - Didem Cifci
- Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
| | - Marko van Treeck
- Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Marco Gustav
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Zunamys I Carrero
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Nadine T Gaisa
- Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Germany
| | - Kjong-Van Lehmann
- Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Germany
| | - Alexandra Leary
- Gynecological Cancer Unit, Department of Medicine, Institut Gustave Roussy, Villejuif, France
| | - Pier Selenica
- Experimental Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Experimental Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nadina Ortiz Bruechle
- Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Germany
| | - Jakob Nikolas Kather
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
- Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universitat Dresden, Dresden, Germany
- Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom
- Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany
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17
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Clinical Utility of Genomic Tests Evaluating Homologous Recombination Repair Deficiency (HRD) for Treatment Decisions in Early and Metastatic Breast Cancer. Cancers (Basel) 2023; 15:cancers15041299. [PMID: 36831640 PMCID: PMC9954086 DOI: 10.3390/cancers15041299] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/17/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Breast cancer is the most frequently occurring cancer worldwide. With its increasing incidence, it is a major public health problem, with many therapeutic challenges such as precision medicine for personalized treatment. Thanks to next-generation sequencing (NGS), progress in biomedical technologies, and the use of bioinformatics, it is now possible to identify specific molecular alterations in tumor cells-such as homologous recombination deficiencies (HRD)-enabling us to consider using DNA-damaging agents such as platinum salts or PARP inhibitors. Different approaches currently exist to analyze impairment of the homologous recombination pathway, e.g., the search for specific mutations in homologous recombination repair (HRR) genes, such as BRCA1/2; the use of genomic scars or mutational signatures; or the development of functional tests. Nevertheless, the role and value of these different tests in breast cancer treatment decisions remains to be clarified. In this review, we summarize current knowledge on the clinical utility of genomic tests, evaluating HRR deficiency for treatment decisions in early and metastatic breast cancer.
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18
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Sebert M, Gachet S, Leblanc T, Rousseau A, Bluteau O, Kim R, Ben Abdelali R, Sicre de Fontbrune F, Maillard L, Fedronie C, Murigneux V, Bellenger L, Naouar N, Quentin S, Hernandez L, Vasquez N, Da Costa M, Prata PH, Larcher L, de Tersant M, Duchmann M, Raimbault A, Trimoreau F, Fenneteau O, Cuccuini W, Gachard N, Auger N, Tueur G, Blanluet M, Gazin C, Souyri M, Langa Vives F, Mendez-Bermudez A, Lapillonne H, Lengline E, Raffoux E, Fenaux P, Adès L, Forcade E, Jubert C, Domenech C, Strullu M, Bruno B, Buchbinder N, Thomas C, Petit A, Leverger G, Michel G, Cavazzana M, Gluckman E, Bertrand Y, Boissel N, Baruchel A, Dalle JH, Clappier E, Gilson E, Deriano L, Chevret S, Sigaux F, Socié G, Stoppa-Lyonnet D, de Thé H, Antoniewski C, Bluteau D, Peffault de Latour R, Soulier J. Clonal hematopoiesis driven by chromosome 1q/MDM4 trisomy defines a canonical route toward leukemia in Fanconi anemia. Cell Stem Cell 2023; 30:153-170.e9. [PMID: 36736290 DOI: 10.1016/j.stem.2023.01.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 12/02/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023]
Abstract
Fanconi anemia (FA) patients experience chromosome instability, yielding hematopoietic stem/progenitor cell (HSPC) exhaustion and predisposition to poor-prognosis myeloid leukemia. Based on a longitudinal cohort of 335 patients, we performed clinical, genomic, and functional studies in 62 patients with clonal evolution. We found a unique pattern of somatic structural variants and mutations that shares features of BRCA-related cancers, the FA-hallmark being unbalanced, microhomology-mediated translocations driving copy-number alterations. Half the patients developed chromosome 1q gain, driving clonal hematopoiesis through MDM4 trisomy downmodulating p53 signaling later followed by secondary acute myeloid lukemia genomic alterations. Functionally, MDM4 triplication conferred greater fitness to murine and human primary FA HSPCs, rescued inflammation-mediated bone marrow failure, and drove clonal dominance in FA mouse models, while targeting MDM4 impaired leukemia cells in vitro and in vivo. Our results identify a linear route toward secondary leukemogenesis whereby early MDM4-driven downregulation of basal p53 activation plays a pivotal role, opening monitoring and therapeutic prospects.
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Affiliation(s)
- Marie Sebert
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Stéphanie Gachet
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Thierry Leblanc
- Robert Debré Hospital, Department of Pediatric Hematology, Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Alix Rousseau
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France
| | - Olivier Bluteau
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Rathana Kim
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Raouf Ben Abdelali
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Flore Sicre de Fontbrune
- Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Loïc Maillard
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Carèle Fedronie
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Valentine Murigneux
- Genome Integrity, Immunity and Cancer Unit, INSERM U1223, Equipe Labellisée Ligue Contre Le Cancer, Institut Pasteur, Paris, France
| | - Léa Bellenger
- Sorbonne Université, CNRS FR3631, INSERM US037, Institut de Biologie Paris Seine (IBPS), ARTbio Bioinformatics Analysis Facility, Institut Français de Bioinformatique (IFB), Paris, France
| | - Naira Naouar
- Sorbonne Université, CNRS FR3631, INSERM US037, Institut de Biologie Paris Seine (IBPS), ARTbio Bioinformatics Analysis Facility, Institut Français de Bioinformatique (IFB), Paris, France
| | - Samuel Quentin
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Lucie Hernandez
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Nadia Vasquez
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Mélanie Da Costa
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Pedro H Prata
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Lise Larcher
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Marie de Tersant
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Matthieu Duchmann
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Anna Raimbault
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Franck Trimoreau
- Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Hematology Laboratory, CHU Limoges, Limoges, France
| | | | - Wendy Cuccuini
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Nathalie Gachard
- Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Hematology Laboratory, CHU Limoges, Limoges, France
| | - Nathalie Auger
- Département de Biologie et Pathologie Médicales, Institut de Cancérologie Gustave Roussy, Villejuif, France
| | - Giulia Tueur
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Maud Blanluet
- Department of Genetics, Institut Curie, Université de Paris, INSERM U830, Paris, France
| | - Claude Gazin
- INSERM U944/CNRS UMR7212, Paris, France; Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Evry, France
| | - Michèle Souyri
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM UMR S1131, Hôpital Saint Louis, Paris, France
| | | | - Aaron Mendez-Bermudez
- Université Côte d'Azur, CNRS, Inserm, Institute for Research on Cancer and Aging, Nice (IRCAN), France; Department of Medical Genetics, CHU, Nice, France
| | | | - Etienne Lengline
- Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France
| | - Emmanuel Raffoux
- Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France
| | - Pierre Fenaux
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Lionel Adès
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; INSERM U944/CNRS UMR7212, Paris, France
| | - Edouard Forcade
- CHU Bordeaux, Service d'Hématologie et Thérapie Cellulaire et Unité d'Hématologie Oncologie Pédiatrique, 33000 Bordeaux, France
| | - Charlotte Jubert
- CHU Bordeaux, Service d'Hématologie et Thérapie Cellulaire et Unité d'Hématologie Oncologie Pédiatrique, 33000 Bordeaux, France
| | - Carine Domenech
- Institut of Hematology and Pediatric Oncology (IHOP), Hospices Civils de Lyon, France; Centre de Recherche en Cancérologie de Lyon, INSERM U1052, CNRS 5286, Centre Léon Bérard, Université Lyon 1, Lyon, France
| | - Marion Strullu
- Robert Debré Hospital, Department of Pediatric Hematology, Paris, France; EA 3518, IRSL, Paris, France
| | | | - Nimrod Buchbinder
- Centre Pédiatrique de Transplantation de Cellules Souches Hématopoïétiques, CHU de Rouen, Rouen, France
| | - Caroline Thomas
- Service d'Oncologie-Hématologie et Immunologie Pédiatrique, CHU de Nantes, Nantes, France
| | - Arnaud Petit
- Pediatric Hematology-Oncology, Trousseau Hospital and HUEP, Paris, France
| | - Guy Leverger
- Pediatric Hematology-Oncology, Trousseau Hospital and HUEP, Paris, France
| | - Gérard Michel
- Timone Enfants Hospital, Department of Pediatric Hematology and Oncology, Aix-Marseille University, EA 3279, Marseille, France
| | - Marina Cavazzana
- Biotherapy Department, Necker Children's Hospital, APHP Centre, Biotherapy Clinical Investigation Center, Inserm U1416, University of Paris, Imagine Institute, Paris, France
| | - Eliane Gluckman
- Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; Eurocord, Department of Hematology, Saint-Louis Hospital, Paris, France
| | - Yves Bertrand
- Institut of Hematology and Pediatric Oncology (IHOP), Hospices Civils de Lyon, France; Centre de Recherche en Cancérologie de Lyon, INSERM U1052, CNRS 5286, Centre Léon Bérard, Université Lyon 1, Lyon, France
| | - Nicolas Boissel
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; EA 3518, IRSL, Paris, France
| | - André Baruchel
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Robert Debré Hospital, Department of Pediatric Hematology, Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Jean-Hugues Dalle
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Robert Debré Hospital, Department of Pediatric Hematology, Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Emmanuelle Clappier
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Eric Gilson
- Université Côte d'Azur, CNRS, Inserm, Institute for Research on Cancer and Aging, Nice (IRCAN), France; Department of Medical Genetics, CHU, Nice, France
| | - Ludovic Deriano
- Genome Integrity, Immunity and Cancer Unit, INSERM U1223, Equipe Labellisée Ligue Contre Le Cancer, Institut Pasteur, Paris, France
| | - Sylvie Chevret
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Division of Biostatistics, Saint-Louis Hospital, APHP, Paris, France
| | - François Sigaux
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France
| | - Gérard Socié
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; INSERM UMR-976, Saint-Louis Hospital, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | | | - Hugues de Thé
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Collège de France, Paris, France
| | - Christophe Antoniewski
- Sorbonne Université, CNRS FR3631, INSERM US037, Institut de Biologie Paris Seine (IBPS), ARTbio Bioinformatics Analysis Facility, Institut Français de Bioinformatique (IFB), Paris, France
| | - Dominique Bluteau
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; EPHE, PSL University, Paris, France.
| | - Régis Peffault de Latour
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; Clinical Hematology Departments, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Paris, France; EA 3518, IRSL, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France
| | - Jean Soulier
- Institut de Recherche Saint-Louis (IRSL), Université Paris Cité, 75010 Paris, France; INSERM U944/CNRS UMR7212, Paris, France; Saint-Louis Hospital, Hematology Laboratory, APHP, Paris, France; Centre de Référence Maladies Rares "Aplasie Médullaire", Saint-Louis and Robert Debré Hospitals, Paris, France.
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19
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Thatikonda V, Islam SMA, Autry RJ, Jones BC, Gröbner SN, Warsow G, Hutter B, Huebschmann D, Fröhling S, Kool M, Blattner-Johnson M, Jones DTW, Alexandrov LB, Pfister SM, Jäger N. Comprehensive analysis of mutational signatures reveals distinct patterns and molecular processes across 27 pediatric cancers. NATURE CANCER 2023; 4:276-289. [PMID: 36702933 PMCID: PMC9970869 DOI: 10.1038/s43018-022-00509-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 12/21/2022] [Indexed: 01/27/2023]
Abstract
Analysis of mutational signatures can reveal underlying molecular mechanisms of the processes that have imprinted the somatic mutations found in cancer genomes. Here, we analyze single base substitutions and small insertions and deletions in pediatric cancers encompassing 785 whole-genome sequenced tumors from 27 molecularly defined cancer subtypes. We identified only a small number of mutational signatures active in pediatric cancers, compared with previously analyzed adult cancers. Further, we report a significant difference in the proportion of pediatric tumors showing homologous recombination repair defect signatures compared with previous analyses. In pediatric leukemias, we identified an indel signature, not previously reported, characterized by long insertions in nonrepeat regions, affecting mainly intronic and intergenic regions, but also exons of known cancer genes. We provide a systematic overview of COSMIC v.3 mutational signatures active across pediatric cancers, which is highly relevant for understanding tumor biology and enabling future research in defining biomarkers of treatment response.
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Affiliation(s)
- Venu Thatikonda
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Global Computational Biology and Digital Sciences, Boehringer Ingelheim RCV GmbH, Vienna, Austria
| | - S M Ashiqul Islam
- Department of Cellular and Molecular Medicine and Department of Bioengineering, Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Robert J Autry
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Barbara C Jones
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology and Immunology, Heidelberg University Hospital, Heidelberg, Germany
- Pediatric Glioma Research Group, DKFZ, Heidelberg, Germany
| | - Susanne N Gröbner
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Gregor Warsow
- Omics IT and Data Management Core Facility (W610), DKFZ, Heidelberg, Germany
| | - Barbara Hutter
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Computational Oncology Group, Molecular Precision Oncology Program, National Center for Tumor Diseases (NCT) Heidelberg, DKFZ, Heidelberg, Germany
- Division of Applied Bioinformatics, DKFZ, Heidelberg, Germany
| | - Daniel Huebschmann
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Computational Oncology Group, Molecular Precision Oncology Program, National Center for Tumor Diseases (NCT) Heidelberg, DKFZ, Heidelberg, Germany
- Pattern Recognition and Digital Medicine, Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM), Heidelberg, Germany
| | - Stefan Fröhling
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Division of Translational Medical Oncology, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Marcel Kool
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Mirjam Blattner-Johnson
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Pediatric Glioma Research Group, DKFZ, Heidelberg, Germany
| | - David T W Jones
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Pediatric Glioma Research Group, DKFZ, Heidelberg, Germany
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine and Department of Bioengineering, Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Stefan M Pfister
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- German Cancer Consortium (DKTK), Heidelberg, Germany.
- Department of Pediatric Oncology, Hematology and Immunology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Natalie Jäger
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- German Cancer Consortium (DKTK), Heidelberg, Germany.
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20
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Liu W, Yu M, Cheng S, Zhou X, Li J, Lu Y, Liu P, Ding S. tRNA-Derived RNA Fragments Are Novel Biomarkers for Diagnosis, Prognosis, and Tumor Subtypes in Prostate Cancer. Curr Oncol 2023; 30:981-999. [PMID: 36661724 PMCID: PMC9857875 DOI: 10.3390/curroncol30010075] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 12/30/2022] [Accepted: 01/06/2023] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND tRNA-derived RNA fragments (tRFs) are a novel class of small ncRNA that are derived from precursor or mature tRNAs. Recently, the general relevance of their roles and clinical values in tumorigenesis, metastasis, and recurrence have been increasingly highlighted. However, there has been no specific systematic study to elucidate any potential clinical significance for these tRFs in prostate adenocarcinoma (PRAD), one of the most common and malignant cancers that threatens male health worldwide. Here, we investigate the clinical value of 5'-tRFs in PRAD. METHODS Small RNA sequencing data were analyzed to discover new 5'-tRFs biomarkers for PRAD. Machine learning algorithms were used to identify 5'-tRF classifiers to distinguish PRAD tumors from normal tissues. LASSO and Cox regression analyses were used to construct 5'-tRF prognostic predictive models. NMF and consensus clustering analyses were performed on 5'-tRF profiles to identify molecular subtypes of PRAD. RESULTS The overall levels of 5'-tRFs were significantly upregulated in the PRAD tumor samples compared to their adjacent normal samples. tRF classifiers composed of 13 5'-tRFs achieved AUC values as high as 0.963, showing high sensitivity and specificity in distinguishing PRAD tumors from normal samples. Multiple 5'-tRFs were identified as being associated with the PRAD prognosis. The tRF score, defined by a set of eight 5'-tRFs, was highly predictive of survival in PRAD patients. The combination of tRF and Gleason scores showed a significantly better performance than the Gleason score alone, suggesting that 5'-tRFs can offer PRAD patients additional and improved prognostic information. Four molecular subtypes of the PRAD tumor were identified based on their 5'-tRF expression profiles. Genetically, these 5'-tRFs PRAD tumor subtypes exhibited distinct genomic landscapes in tumor cells. Clinically, they showed marked differences in survival and clinicopathological features. CONCLUSIONS 5'-tRFs are potential clinical biomarkers for the diagnosis, prognosis, and classification of tumor subtypes on a molecular level. These can help clinicians formulate personalized treatment plans for PRAD patients and may have similar potential applications for other disease types.
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Affiliation(s)
- Weigang Liu
- Department of Cell Biology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mengqian Yu
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310016, China
| | - Sheng Cheng
- Department of Urology, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310016, China
| | - Xiaoxu Zhou
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Department of Gynecologic Oncology, Women’s Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310006, China
| | - Jia Li
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310016, China
| | - Yan Lu
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Department of Gynecologic Oncology, Women’s Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310006, China
- Cancer Center, Zhejiang University, Hangzhou 310013, China
| | - Pengyuan Liu
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310016, China
- Cancer Center, Zhejiang University, Hangzhou 310013, China
- Department of Physiology and Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Shiping Ding
- Department of Cell Biology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
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21
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Oswald AJ, Gourley C. Development of Homologous Recombination Functional Assays for Targeting the DDR. Cancer Treat Res 2023; 186:43-70. [PMID: 37978130 DOI: 10.1007/978-3-031-30065-3_4] [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] [Indexed: 11/19/2023]
Abstract
Identification of tumours that have homologous recombination deficiency (HRD) has become of increasing interest following the licensing of PARP inhibitors. Potential methods to assess HRD status include; clinical selection for platinum sensitive disease, mutational/methylation status, genomic scars/signature and functional RAD51 assays. Homologous recombination (HR) is a dynamic process with the potential to evolve over a disease course, particularly in relation to previous treatment. This is one of the major drawbacks of genomic scars/signatures, as they only demonstrate historic HR status. Functional HR assays have the benefit of giving a real time HR status readout and therefore have the potential for clearer identification of patients who may benefit from PARP inhibitors at that specific time point. However, the development of RAD51 foci assays ready for clinical practice has been challenging. Pre-clinical considerations have included; controlling for variation in tumour proliferation, tissue type and whether DNA damage induction is required. Furthermore, the assays require correlation with clinical outcomes, an understanding of how they complement current testing modalities and validation of test performance in large cohorts. Despite these challenges, given the profound benefit from PARP inhibitors seen in those with an HRD phenotype to date, the ongoing development and validation of these functional HR assays remains of high clinical importance.
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Affiliation(s)
- Ailsa J Oswald
- Cancer Research UK Scotland Centre, University of Edinburgh, Edinburgh, UK.
| | - Charlie Gourley
- Cancer Research UK Scotland Centre, University of Edinburgh, Edinburgh, UK
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22
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Perera S, Jang GH, Wang Y, Kelly D, Allen M, Zhang A, Denroche RE, Dodd A, Ramotar S, Hutchinson S, Tehfe M, Ramjeesingh R, Biagi J, Lam B, Wilson J, Fischer SE, Zogopoulos G, Notta F, Gallinger S, Grant RC, Knox JJ, O'Kane GM. hENT1 Expression Predicts Response to Gemcitabine and Nab-Paclitaxel in Advanced Pancreatic Ductal Adenocarcinoma. Clin Cancer Res 2022; 28:5115-5120. [PMID: 36222851 DOI: 10.1158/1078-0432.ccr-22-2576] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/29/2022] [Accepted: 10/10/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE Modified FOLFIRINOX (mFFX) and gemcitabine/nab-paclitaxel (GnP) remain standard first-line options for patients with advanced pancreatic ductal adenocarcinoma (PDAC). Human equilibrative nucleoside transporter 1 (hENT1) was hypothesized to be a biomarker of gemcitabine in the adjuvant setting, with conflicting results. In this study, we explore hENT1 mRNA expression as a predictive biomarker in advanced PDAC. EXPERIMENTAL DESIGN COMPASS was a prospective observational trial of patients with advanced PDAC. A biopsy was required prior to initiating chemotherapy, as determined by treating physician. Biopsies underwent laser capture microdissection prior to whole genome and RNA sequencing. The cut-off thresholds for hENT1 expression were determined using the maximal χ2 statistic. RESULTS 253 patients were included in the analyses with a median follow-up of 32 months, with 138 patients receiving mFFX and 92 receiving GnP. In the intention to treat population, median overall survival (OS) was 10.0 months in hENT1high versus 7.9 months in hENT1low (P = 0.02). In patients receiving mFFX, there was no difference in overall response rate (ORR; 35% vs. 28%, P = 0.56) or median OS (10.6 vs. 10.5 months, P = 0.45). However, in patients treated with GnP, the ORR was significantly higher in hENT1high compared with hENT1low tumors (43% vs. 21%, P = 0.038). Median OS in this GnP-treated cohort was 10.6 months in hENT1high versus 6.7 months hENT1low (P < 0.001). In an interaction analysis, hENT1 was predictive of treatment response to GnP (interaction P = 0.002). CONCLUSIONS In advanced PDAC, hENT1 mRNA expression predicts ORR and OS in patients receiving GnP.
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Affiliation(s)
- Sheron Perera
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,University of Toronto, Toronto, Ontario, Canada
| | - Gun Ho Jang
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Yifan Wang
- Research Institute of the McGill University Health Centre, Montreal, Québec, Canada.,Department of Surgery, McGill University, Montreal, Québec, Canada
| | - Deirdre Kelly
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,University of Toronto, Toronto, Ontario, Canada
| | - Michael Allen
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,University of Toronto, Toronto, Ontario, Canada
| | - Amy Zhang
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | - Anna Dodd
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Stephanie Ramotar
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Shawn Hutchinson
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Mustapha Tehfe
- Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Ravi Ramjeesingh
- Nova Scotia Cancer Center, Dalhousie University, Halifax, Nova Scotia, Canada
| | - James Biagi
- Queen's University, Cancer Center of Southeastern Ontario, Kingston, Ontario, Canada
| | - Bernard Lam
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Julie Wilson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Sandra E Fischer
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,University of Toronto, Toronto, Ontario, Canada
| | - George Zogopoulos
- Research Institute of the McGill University Health Centre, Montreal, Québec, Canada.,Department of Surgery, McGill University, Montreal, Québec, Canada
| | - Faiyaz Notta
- University of Toronto, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Steven Gallinger
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,University of Toronto, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Robert C Grant
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,University of Toronto, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Jennifer J Knox
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,University of Toronto, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Grainne M O'Kane
- Wallace McCain Centre for Pancreatic Cancer, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,University of Toronto, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
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23
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Terashima T, Morizane C, Ushiama M, Shiba S, Takahashi H, Ikeda M, Mizuno N, Tsuji K, Yasui K, Azemoto N, Satake H, Nomura S, Yachida S, Sugano K, Furuse J. Germline variants in cancer-predisposing genes in pancreatic cancer patients with a family history of cancer. Jpn J Clin Oncol 2022; 52:1105-1114. [PMID: 36135357 DOI: 10.1093/jjco/hyac110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/24/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Our phase II trial (FABRIC study) failed to verify the efficacy of gemcitabine plus oxaliplatin (GEMOX) in patients with pancreatic ductal adenocarcinoma (PDAC) with a familial or personal history of pancreatic, breast, ovarian or prostate cancer, which suggested that a family and personal history may be insufficient to determine response to platinum-based chemotherapy. METHODS This ancillary analysis aimed to investigate the prevalence of germline variants of homologous recombination repair (HRR)-related genes and clarify the association of germline variants with the efficacy of GEMOX and patient outcome in PDAC patients. Of 45 patients enrolled in FABRIC study, 27 patients were registered in this ancillary analysis. RESULTS Of the identified variants in HRR-related genes, one variant was considered pathogenic and eight variants in six patients (22%) were variants of unknown significance (VUS). Objective response to GEMOX was achieved by 43% of the seven patients and tended to be higher than that of patients without such variants (25%). Pathogenic/VUS variant in HRR-related genes was an independent favorable factor for progression-free survival (hazard ratio, 0.322; P = 0.047) and overall survival (hazard ratio, 0.195; P = 0.023) in multivariable analysis. CONCLUSIONS The prevalence of germline variants in PDAC patients was very low even among patients with a familial/personal history of pancreatic, breast, ovarian or prostate cancer. Patients with one or more germline variants in HRR-related genes classified as pathogenic or VUS may have the potential to obtain better response to GEMOX and have better outcomes.
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Affiliation(s)
- Takeshi Terashima
- Department of Gastroenterology, Kanazawa University Hospital, Kanazawa, Japan.,Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Chigusa Morizane
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Mineko Ushiama
- Department of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan
| | - Satoshi Shiba
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Hideaki Takahashi
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Masafumi Ikeda
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Nobumasa Mizuno
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Kunihiro Tsuji
- Department of Gastroenterology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan
| | - Kohichiroh Yasui
- Department of Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Nobuaki Azemoto
- Department of Gastroenterology, Shikoku Cancer Center, Matsuyama, Japan
| | - Hironaga Satake
- Department of Medical Oncology, Kobe City Medical Center General Hospital, Kobe, Japan.,Department of Medical Oncology, Kochi Medical School, Kochi, Japan
| | - Shogo Nomura
- Biostatistics Division, Center for Research Administration and Support, National Cancer Center, Tokyo, Japan
| | - Shinichi Yachida
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan.,Division of Genomic Medicine, National Cancer Center Research Institute, Tokyo, Japan
| | - Kokichi Sugano
- Department of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan.,Department of Genetic Medicine, Kyoundo Hospital, Sasaki Foundation, Tokyo, Japan
| | - Junji Furuse
- Department of Medical Oncology, Kyorin University Faculty of Medicine, Tokyo, Japan
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24
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Menghi F, Banda K, Kumar P, Straub R, Dobrolecki L, Rodriguez IV, Yost SE, Chandok H, Radke MR, Somlo G, Yuan Y, Lewis MT, Swisher EM, Liu ET. Genomic and epigenomic
BRCA
alterations predict adaptive resistance and response to platinum-based therapy in patients with triple-negative breast and ovarian carcinomas. Sci Transl Med 2022; 14:eabn1926. [PMID: 35857626 PMCID: PMC9585706 DOI: 10.1126/scitranslmed.abn1926] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Triple-negative breast cancer (TNBC) and ovarian carcinomas (OvCas) with
BRCA1
promoter methylation (
BRCA1
meth) respond more poorly to alkylating agents compared to those bearing mutations in
BRCA1
and
BRCA2
(
BRCA
mut). This is a conundrum given the biologically equivalent homologous recombination deficiency (HRD) induced by these genetic and epigenetic
BRCA
perturbations. We dissected this problem through detailed genomic analyses of TNBC and OvCa cohorts and experimentation with patient-derived xenografts and genetically engineered cell lines. We found that despite identical downstream genomic mutational signatures associated with
BRCA1
meth and
BRCA
mut states,
BRCA1
meth uniformly associates with poor outcomes. Exposure of
BRCA1
meth TNBCs to platinum chemotherapy, either as clinical treatment of a patient or as experimental in vivo exposure of preclinical patient derived xenografts, resulted in allelic loss of
BRCA1
methylation and increased
BRCA1
expression and platinum resistance. These data suggest that, unlike
BRCA
mut cancers, where
BRCA
loss is a genetically “fixed” deficiency state,
BRCA1
meth cancers are highly adaptive to genotoxin exposure and, through reversal of promoter methylation, recover
BRCA1
expression and become resistant to therapy. We further found a specific augmented immune transcriptional signal associated with enhanced response to platinum chemotherapy but only in patients with BRCA-proficient cancers. We showed how integrating both this cancer immune signature and the presence of
BRCA
mutations results in more accurate predictions of patient response when compared to either HRD status or
BRCA
status alone. This underscores the importance of defining
BRCA
heterogeneity in optimizing the predictive precision of assigning response probabilities in TNBC and OvCa.
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Affiliation(s)
- Francesca Menghi
- Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | - Kalyan Banda
- Division of Medical Oncology, UW Medical Center, Seattle, WA 98195, USA
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Pooja Kumar
- Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | - Robert Straub
- Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | | | - Isabel V. Rodriguez
- Department of Obstetrics and Gynecology, UW Medical Center, Seattle, WA 98195, USA
| | - Susan E. Yost
- Division of Medical Oncology and Therapeutic Research, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | | | - Marc R. Radke
- Department of Obstetrics and Gynecology, UW Medical Center, Seattle, WA 98195, USA
| | - George Somlo
- Division of Medical Oncology and Therapeutic Research, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Yuan Yuan
- Division of Medical Oncology and Therapeutic Research, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Michael T. Lewis
- Departments of Molecular and Cellular Biology and Radiology, Lester and Sue Smith Breast Center, Dan L Duncan Comprehensive Cancer Center, Houston, TX 77030, USA
| | - Elizabeth M. Swisher
- Department of Obstetrics and Gynecology, UW Medical Center, Seattle, WA 98195, USA
| | - Edison T. Liu
- Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
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25
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Kwon M, Kim G, Kim R, Kim KT, Kim ST, Smith S, Mortimer PGS, Hong JY, Loembé AB, Irurzun-Arana I, Koulai L, Kim KM, Kang WK, Dean E, Park WY, Lee J. Phase II study of ceralasertib (AZD6738) in combination with durvalumab in patients with advanced gastric cancer. J Immunother Cancer 2022; 10:jitc-2022-005041. [PMID: 35790315 PMCID: PMC9258491 DOI: 10.1136/jitc-2022-005041] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2022] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND Targeting the DNA damage repair (DDR) pathways is an attractive strategy for boosting cancer immunotherapy. Ceralasertib (AZD6738) is an oral kinase inhibitor of ataxia telangiectasia and Rad3 related protein, which is a master regulator of DDR. We conducted a phase II trial of ceralasertib plus durvalumab in patients with previously treated advanced gastric cancer (AGC) to demonstrate the safety, tolerability, and clinical activity of the combination. METHODS This phase II, open-label, single-center, non-randomized study was designed to evaluate the efficacy and safety of ceralasertib in combination with durvalumab in patients with AGC. The study drug regimen was ceralasertib (240 mg two times a day) days 15-28 in a 28-day cycle in combination with durvalumab (1500 mg) at day 1 every 4 weeks. The primary end point was overall response rate (ORR) by Response Evaluation Criteria in Solid Tumors (V.1.1). Exploratory biomarker analysis was performed using fresh tumor biopsies in all enrolled patients. RESULTS Among 31 patients, the ORR, disease control rate, median progression-free survival (PFS), and overall survival were 22.6% (95% CI 9.6% to 41.1%), 58.1% (95% CI 39.1% to 75.5%), 3.0 (95% CI 2.1 to 3.9) months, and 6.7 (95% CI 3.8 to 9.6) months, respectively. Common adverse events were manageable with dose modification. A subgroup of patients with a loss of ataxia telangiectasia mutated (ATM) expression and/or high proportion of mutational signature attributable to homologous repair deficiency (sig. HRD) demonstrated a significantly longer PFS than those with intact ATM and low sig. HRD (5.60 vs 1.65 months; HR 0.13, 95% CI 0.045 to 0.39; long-rank p<0.001). During the study treatment, upregulation of the innate immune response by cytosolic DNA, activation of intratumoral lymphocytes, and expansion of circulating tumor-reactive CD8 +T cell clones were identified in responders. Enrichment of the tumor vasculature signature was associated with treatment resistance. CONCLUSIONS Ceralasertib plus durvalumab has promising antitumor activity, with durable responses in patients with refractory AGC. Thus, a biomarker-driven trial is required. TRIAL REGISTRATION NCT03780608.
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Affiliation(s)
- Minsuk Kwon
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Department of Hematology-Oncology, Ajou University, Suwon, Republic of Korea
| | - Gahyun Kim
- Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Republic of Korea.,Samsung Genome Institute, Samsung Medical Center, Seoul, Republic of Korea
| | - Ryul Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyu-Tae Kim
- Department of Physiology, Ajou University, Suwon, Republic of Korea
| | - Seung Tae Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | | | | | - Jung Yong Hong
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | | | | | | | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Won Ki Kang
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Emma Dean
- Oncology R&D, AstraZeneca, Cambridge, UK
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Gangnam-gu, Republic of Korea
| | - Jeeyun Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea .,Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
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26
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Kalinowski L, Viale G, Domchek S, Tutt A, Lucas PC, Lakhani SR. The increasing importance of pathology in modern clinical trial conduct: OlympiA as a case in point. Pathology 2022; 54:511-516. [PMID: 35778289 DOI: 10.1016/j.pathol.2022.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/27/2022] [Accepted: 05/31/2022] [Indexed: 11/25/2022]
Affiliation(s)
- Lauren Kalinowski
- The University of Queensland Centre for Clinical Research, University of Queensland, Brisbane, Qld, Australia; Department of Histopathology, Sullivan Nicolaides Pathology, Bowen Hills, Brisbane, Qld, Australia
| | - Giuseppe Viale
- European Institute of Oncology IRCCS, University of Milan, Milan, Italy
| | - Susan Domchek
- Basser Center for BRCA, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew Tutt
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK; Breast Cancer Now Unit, The School of Cancer Studies and Pharmaceutical Science, King's College London, London, UK
| | - Peter C Lucas
- University of Pittsburgh School of Medicine and UPMC Hillman Cancer Center, Pittsburgh, PA, USA
| | - Sunil R Lakhani
- The University of Queensland Centre for Clinical Research, University of Queensland, Brisbane, Qld, Australia; Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, Brisbane, Qld, Australia.
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27
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Tang T, Tan X, Wang Z, Wang S, Wang Y, Xu J, Wei X, Zhang D, Liu Q, Jiang J. Germline Mutations in Patients With Early-Onset Prostate Cancer. Front Oncol 2022; 12:826778. [PMID: 35734583 PMCID: PMC9207501 DOI: 10.3389/fonc.2022.826778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 05/09/2022] [Indexed: 11/13/2022] Open
Abstract
Objective To investigate the inherited mutations and their association with clinical features and treatment response in young-onset prostate cancer patients. Method Targeted gene sequencing on 139 tumor susceptibility genes was conducted with a total of 24 patients diagnosed with PCa under the age of 63 years old. Meanwhile, the related clinical information of those patients is collected and analyzed. Results Sixty-two germline mutations in 45 genes were verified in 22 patients. BRCA2 (20.8%) and GJB2 (20.8%) were found to be the most frequently mutated, followed by CHEK2, BRCA1, PALB2, CDKN2A, HOXB13, PPM1D, and RECQL (8.3% of each, 2/24). Of note, 58.3% (14/24) patients carry germline mutations in DNA repair genes (DRGs). Four families with HRR (homologous recombination repair)-related gene mutations were described and analyzed in detail. Two patients with BRCA2 mutation responded well to the combined treatment of androgen deprivation therapy (ADT) and radiotherapy/chemotherapy. Conclusion Mutations in DRGs are more prevalent in early-onset PCa with advanced clinical stages, and these patients had shorter progression-free survival. ADT Combined with either radiotherapy or chemotherapy may be effective in treating PCa caused by HRR-related gene mutations.
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Affiliation(s)
- Tang Tang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, China
| | - Xintao Tan
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, China
| | - Ze Wang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, China
| | - Shuo Wang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, China
| | - Yapeng Wang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, China
| | - Jing Xu
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, China
| | - Xiajie Wei
- Genetron Health (Beijing) Co., Beijing, China
| | - Dianzheng Zhang
- Department of Bio-Medical Sciences, Philadelphia College of Osteopathic Medicine, Philadelphia, PA, United States
| | - Qiuli Liu
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, China
| | - Jun Jiang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, China
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28
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Niger M, Nichetti F, Casadei-Gardini A, Rizzato MD, Pircher C, Bini M, Franza A, Rimini M, Burgio V, Sposetti C, Fornaro L, Rapposelli IG, D'Amico FE, Aprile G, Vivaldi C, Frassineti GL, Milione M, Leoncini G, Cappetta A, Vasile E, Fassan M, Morano F, Perrone F, Tamborini E, Pruneri G, Lonardi S, Mazzaferro V, Pietrantonio F, Di Bartolomeo M, de Braud F. Platinum sensitivity in patients with IDH1/2 mutated versus wild-type intrahepatic cholangiocarcinoma: a propensity score-based study. Int J Cancer 2022; 151:1310-1320. [PMID: 35723131 DOI: 10.1002/ijc.34182] [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: 02/04/2022] [Revised: 05/18/2022] [Accepted: 06/03/2022] [Indexed: 11/10/2022]
Abstract
Isocitrate dehydrogenase (IDH)1/2 mutations are the most frequent druggable alterations in intrahepatic cholangiocarcinoma (iCCA), reported in ~20% of cases. Preclinical evidence indicates that these mutations are associated with homologous recombination deficiency (HRD), which could be exploited as a target for platinum chemotherapy (ChT) and PARP inhibitors. However, the role of IDH1/2 mutations as surrogate biomarkers for platinum efficacy is unknown. We conducted a multicenter, propensity score-matched analysis to investigate the impact of IDH1/2 mutations on progression-free survival (PFS), overall response rate (ORR) and disease control rate (DCR) in patients with iCCA treated with platinum-based ChT. An exploratory comparison of complex HRD estimates between IDH1/2 mutated and wild-type tumors from TCGA was also performed. A total of 120 cases were matched in a 1:1 ratio (60 IDH1/2 mutant and 60 wild-type). No differences were observed for platinum-based PFS (7.7 vs 7.3 months, p = 0.970), DCR (66.1% vs 74.1%, p = 0.361), ORR (27.8% vs 25.0%, p = 0.741). IDH1/2 mutations showed mutual exclusivity with genomic alterations in ATM, BRCA2, MST1R, NF1, FGFR2 and CDKN2A/B losses, respectively, with no clear survival and response differences. Among TCGA tumors, IDH1/2 mutated CCA did not show higher HRD compared to wild-type cases. IDH1/2 mutations are not associated with increased sensitivity to platinum-based ChT in iCCA patients. Deeper genomic sequencing is needed to elucidate the HRD phenotype in IDH1/2 mutant iCCA and exploit its therapeutic vulnerabilities.
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Affiliation(s)
- Monica Niger
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Federico Nichetti
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.,Computational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Andrea Casadei-Gardini
- Vita-Salute San Raffaele University, Milan, Italy.,Department of Medical Oncology, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | | | - Chiara Pircher
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Marta Bini
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Andrea Franza
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Margherita Rimini
- Department of Medical Oncology, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Valentina Burgio
- Department of Medical Oncology, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Caterina Sposetti
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Lorenzo Fornaro
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Ilario Giovanni Rapposelli
- Department of Medical Oncology, IRCCS Istituto Romagnolo Per lo Studio dei Tumori "Dino Amadori"-IRST, 47014 Meldola, Italy
| | | | - Giuseppe Aprile
- Department of Oncology, San Bortolo General Hospital, Azienda ULSS8 Berica, Vicenza, Italy
| | - Caterina Vivaldi
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Giovanni Luca Frassineti
- Department of Medical Oncology, IRCCS Istituto Romagnolo Per lo Studio dei Tumori "Dino Amadori"-IRST, 47014 Meldola, Italy
| | - Massimo Milione
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Giuseppe Leoncini
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Alessandro Cappetta
- Department of Oncology, San Bortolo General Hospital, Azienda ULSS8 Berica, Vicenza, Italy
| | - Enrico Vasile
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Matteo Fassan
- Department of Medicine (DIMED), Surgical Pathology Unit, University of Padua, Padua, Italy.,Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Federica Morano
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Federica Perrone
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Elena Tamborini
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Giancarlo Pruneri
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Sara Lonardi
- Medical Oncology 3, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Vincenzo Mazzaferro
- Department of Surgery, Division of HPB, General Surgery and Liver Transplantation, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Filippo Pietrantonio
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Maria Di Bartolomeo
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Filippo de Braud
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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Štancl P, Hamel N, Sigel KM, Foulkes WD, Karlić R, Polak P. The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes. Front Genet 2022; 13:852159. [PMID: 35783256 PMCID: PMC9247292 DOI: 10.3389/fgene.2022.852159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/03/2022] [Indexed: 11/18/2022] Open
Abstract
Background: Gene-agnostic genomic biomarkers were recently developed to identify homologous recombination deficiency (HRD) tumors that are likely to respond to treatment with PARP inhibitors. Two machine-learning algorithms that predict HRD status, CHORD, and HRDetect, utilize various HRD-associated features extracted from whole-genome sequencing (WGS) data and show high sensitivity in detecting patients with BRCA1/2 bi-allelic inactivation in all cancer types. When using only DNA mutation data for the detection of potential causes of HRD, both HRDetect and CHORD find that 30–40% of cases that have been classified as HRD are due to unknown causes. Here, we examined the impact of tumor-specific thresholds and measurement of promoter methylation of BRCA1 and RAD51C on unexplained proportions of HRD cases across various tumor types. Methods: We gathered published CHORD and HRDetect probability scores for 828 samples from breast, ovarian, and pancreatic cancer from previous studies, as well as evidence of their biallelic inactivation (by either DNA alterations or promoter methylation) in HR-related genes. ROC curve analysis evaluated the performance of each classifier in specific cancer. Tenfold nested cross-validation was used to find the optimal threshold values of HRDetect and CHORD for classifying HR-deficient samples within each cancer type. Results: With the universal threshold, HRDetect has higher sensitivity in the detection of biallelic inactivation in BRCA1/2 than CHORD and resulted in a higher proportion of unexplained cases. When promoter methylation was excluded, in ovarian carcinoma, the proportion of unexplained cases increased from 26.8 to 48.8% for HRDetect and from 14.7 to 41.2% for CHORD. A similar increase was observed in breast cancer. Applying cancer-type-specific thresholds led to similar sensitivity and specificity for both methods. The cancer-type-specific thresholds for HRDetect reduced the number of unexplained cases from 21 to 12.3% without reducing the 96% sensitivity to known events. For CHORD, unexplained cases were reduced from 10 to 9% while sensitivity increased from 85.3 to 93.9%. Conclusion: These results suggest that WGS-based HRD classifiers should be adjusted for tumor types. When applied, only ∼10% of breast, ovarian, and pancreas cancer cases are not explained by known events in our dataset.
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Affiliation(s)
- Paula Štancl
- Bioinformatics Group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Nancy Hamel
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Keith M. Sigel
- Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - William D. Foulkes
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Human Genetics, McGill University Montreal, Montreal, QC, Canada
- Cancer Axis, Lady Davis Institute, Jewish General Hospital, Montreal, QC, Canada
| | - Rosa Karlić
- Bioinformatics Group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
- *Correspondence: Paz Polak, ; Rosa Karlić,
| | - Paz Polak
- Icahn School of Medicine at Mount Sinai, New York, NY, United States
- *Correspondence: Paz Polak, ; Rosa Karlić,
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30
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Rempel E, Kluck K, Beck S, Ourailidis I, Kazdal D, Neumann O, Volckmar AL, Kirchner M, Goldschmid H, Pfarr N, Weichert W, Hübschmann D, Fröhling S, Sutter C, Schaaf CP, Schirmacher P, Endris V, Stenzinger A, Budczies J. Pan-cancer analysis of genomic scar patterns caused by homologous repair deficiency (HRD). NPJ Precis Oncol 2022; 6:36. [PMID: 35681079 PMCID: PMC9184602 DOI: 10.1038/s41698-022-00276-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 04/15/2022] [Indexed: 12/12/2022] Open
Abstract
Homologous repair deficiency (HRD) is present in many cancer types at variable prevalence and can indicate response to platinum-based chemotherapy and PARP inhibition. We developed a tumor classification system based on the loss of function of genes in the homologous recombination repair (HRR) pathway. To this end, somatic and germline alterations in BRCA1/2 and 140 other HRR genes were included and assessed for the impact on gene function. Additionally, information on the allelic hit type and on BRCA1 promoter hypermethylation was included. The HRDsum score including LOH, LST, and TAI was calculated for 8847 tumors of the TCGA cohort starting from genotyping data and for the subcohort of ovarian cancer also starting from WES data. Pan-cancer, deleterious BRCA1/2 alterations were detected in 4% of the tumors, while 18% of the tumors were HRD-positive (HRDsum ≥ 42). Across 33 cancer types, both BRCA1/2 alterations and HRD-positivity were most prevalent in ovarian cancer (20% and 69%). Pan-cancer, tumors with biallelic deleterious alterations in BRCA1/2 were separated strongly from tumors without relevant alterations (AUC = 0.89), while separation for tumors with monoallelic deleterious BRCA1/2 alterations was weak (AUC = 0.53). Tumors with biallelic deleterious alterations in other HHR genes were separated moderately from tumors without relevant alterations (AUC = 0.63), while separation for tumors with such monoallelic alterations was weaker (AUC = 0.57). In ovarian cancer, HRDsum scores calculated from WES data correlated strongly with HRDsum scores calculated from genotyping data (R = 0.87) and were slightly (4%) higher. We comprehensively analyzed HRD scores and their association with mutations in HRR genes in common cancer types. Our study identifies important parameters influencing HRD measurement and argues for an integration of HRDsum score with specific mutational profiles.
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Affiliation(s)
- E Rempel
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - K Kluck
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - S Beck
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany.,Center for Personalized Medicine (ZPM) Heidelberg, 69120, Heidelberg, Germany
| | - I Ourailidis
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - D Kazdal
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany.,German Center for Lung Research (DZL), Heidelberg site, 69120, Heidelberg, Germany
| | - O Neumann
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - A L Volckmar
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - M Kirchner
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - H Goldschmid
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - N Pfarr
- Institute of Pathology, TUM School of Medicine, Technical University of Munich, 81675, Munich, Germany
| | - W Weichert
- Institute of Pathology, TUM School of Medicine, Technical University of Munich, 81675, Munich, Germany.,German Cancer Consortium (DKTK), 69120, Heidelberg, Germany
| | - D Hübschmann
- German Cancer Consortium (DKTK), 69120, Heidelberg, Germany.,Division of Translational Medical Oncology, NCT Heidelberg and DKFZ, 69120, Heidelberg, Germany.,NCT Molecular Diagnostics Program, NCT Heidelberg and DKFZ, 69120, Heidelberg, Germany
| | - S Fröhling
- Center for Personalized Medicine (ZPM) Heidelberg, 69120, Heidelberg, Germany.,German Cancer Consortium (DKTK), 69120, Heidelberg, Germany.,Division of Translational Medical Oncology, NCT Heidelberg and DKFZ, 69120, Heidelberg, Germany.,NCT Molecular Diagnostics Program, NCT Heidelberg and DKFZ, 69120, Heidelberg, Germany
| | - C Sutter
- Institute of Human Genetics, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - C P Schaaf
- Center for Personalized Medicine (ZPM) Heidelberg, 69120, Heidelberg, Germany.,Institute of Human Genetics, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - P Schirmacher
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany.,German Cancer Consortium (DKTK), 69120, Heidelberg, Germany
| | - V Endris
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - A Stenzinger
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany. .,Center for Personalized Medicine (ZPM) Heidelberg, 69120, Heidelberg, Germany. .,German Center for Lung Research (DZL), Heidelberg site, 69120, Heidelberg, Germany. .,German Cancer Consortium (DKTK), 69120, Heidelberg, Germany.
| | - J Budczies
- Institute of Pathology, Heidelberg University Hospital, 69120, Heidelberg, Germany. .,Center for Personalized Medicine (ZPM) Heidelberg, 69120, Heidelberg, Germany. .,German Center for Lung Research (DZL), Heidelberg site, 69120, Heidelberg, Germany. .,German Cancer Consortium (DKTK), 69120, Heidelberg, Germany.
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31
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Pleasance E, Bohm A, Williamson LM, Nelson JMT, Shen Y, Bonakdar M, Titmuss E, Csizmok V, Wee K, Hosseinzadeh S, Grisdale CJ, Reisle C, Taylor GA, Lewis E, Jones MR, Bleile D, Sadeghi S, Zhang W, Davies A, Pellegrini B, Wong T, Bowlby R, Chan SK, Mungall KL, Chuah E, Mungall AJ, Moore RA, Zhao Y, Deol B, Fisic A, Fok A, Regier DA, Weymann D, Schaeffer DF, Young S, Yip S, Schrader K, Levasseur N, Taylor SK, Feng X, Tinker A, Savage KJ, Chia S, Gelmon K, Sun S, Lim H, Renouf DJ, Jones SJM, Marra MA, Laskin J. Whole genome and transcriptome analysis enhances precision cancer treatment options. Ann Oncol 2022; 33:939-949. [PMID: 35691590 DOI: 10.1016/j.annonc.2022.05.522] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 05/03/2022] [Accepted: 05/31/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Recent advances are enabling delivery of precision genomic medicine to cancer clinics. While the majority of approaches profile panels of selected genes or hotspot regions, comprehensive data provided by whole genome and transcriptome sequencing and analysis (WGTA) presents an opportunity to align a much larger proportion of patients to therapies. PATIENTS AND METHODS Samples from 570 patients with advanced or metastatic cancer of diverse types enrolled in the Personalized OncoGenomics (POG) program underwent WGTA. DNA-based data, including mutations, copy number, and mutation signatures, were combined with RNA-based data, including gene expression and fusions, to generate comprehensive WGTA profiles. A multidisciplinary molecular tumour board used WGTA profiles to identify and prioritize clinically actionable alterations and inform therapy. Patient responses to WGTA-informed therapies were collected. RESULTS Clinically actionable targets were identified for 83% of patients, 37% of whom received WGTA-informed treatments. RNA expression data were particularly informative, contributing to 67% of WGTA-informed treatments; 25% of treatments were informed by RNA expression alone. Of a total 248 WGTA-informed treatments, 46% resulted in clinical benefit. RNA expression data were comparable to DNA-based mutation and copy number data in aligning to clinically beneficial treatments. Genome signatures also guided therapeutics including platinum, PARP inhibitors, and immunotherapies. Patients accessed WGTA-informed treatments through clinical trials (19%), off-label use (35%), and as standard therapies (46%) including those which would not otherwise have been the next choice of therapy, demonstrating the utility of genomic information to direct use of chemotherapies as well as targeted therapies. CONCLUSIONS Integrating RNA expression and genome data illuminated treatment options that resulted in 46% of treated patients experiencing positive clinical benefit, supporting the use of comprehensive WGTA profiling in clinical cancer care. CLINICAL TRIAL NUMBER NCT02155621.
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Affiliation(s)
- E Pleasance
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - A Bohm
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medicine, University of British Columbia, Vancouver
| | - L M Williamson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - J M T Nelson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - Y Shen
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - M Bonakdar
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - E Titmuss
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - V Csizmok
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - K Wee
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - S Hosseinzadeh
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medicine, University of British Columbia, Vancouver
| | - C J Grisdale
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - C Reisle
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - G A Taylor
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - E Lewis
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - M R Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - D Bleile
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - S Sadeghi
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - W Zhang
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - A Davies
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - B Pellegrini
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - T Wong
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - R Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - S K Chan
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - K L Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - E Chuah
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - A J Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - R A Moore
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - Y Zhao
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - B Deol
- Department of Medical Oncology, BC Cancer, Vancouver
| | - A Fisic
- Department of Medical Oncology, BC Cancer, Vancouver
| | - A Fok
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - D A Regier
- Canadian Centre for Applied Research in Cancer Control, Cancer Control Research, BC Cancer, Vancouver
| | - D Weymann
- Canadian Centre for Applied Research in Cancer Control, Cancer Control Research, BC Cancer, Vancouver
| | - D F Schaeffer
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver; Pancreas Centre BC, Vancouver
| | - S Young
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver
| | - S Yip
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver
| | - K Schrader
- Hereditary Cancer Program, BC Cancer, Vancouver; Department of Medical Genetics, University of British Columbia, Vancouver
| | - N Levasseur
- Department of Medical Oncology, BC Cancer, Vancouver
| | - S K Taylor
- Department of Medical Oncology, BC Cancer, Kelowna
| | - X Feng
- Department of Medical Oncology, BC Cancer, Victoria
| | - A Tinker
- Department of Medical Oncology, BC Cancer, Vancouver
| | - K J Savage
- Department of Medical Oncology, BC Cancer, Vancouver
| | - S Chia
- Department of Medical Oncology, BC Cancer, Vancouver
| | - K Gelmon
- Department of Medical Oncology, BC Cancer, Vancouver
| | - S Sun
- Department of Medical Oncology, BC Cancer, Vancouver
| | - H Lim
- Department of Medical Oncology, BC Cancer, Vancouver
| | - D J Renouf
- Department of Medical Oncology, BC Cancer, Vancouver; Pancreas Centre BC, Vancouver
| | - S J M Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medical Genetics, University of British Columbia, Vancouver; Department of Molecular Biology and Biochemistry, Simon Fraser University, Vancouver, Canada
| | - M A Marra
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medical Genetics, University of British Columbia, Vancouver
| | - J Laskin
- Department of Medical Oncology, BC Cancer, Vancouver.
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32
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Kramer CJH, Vreeswijk MPG, Thijssen B, Bosse T, Wesseling J. Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology. J Pathol 2022; 257:403-412. [PMID: 35438188 PMCID: PMC9324156 DOI: 10.1002/path.5915] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/11/2022] [Accepted: 04/13/2022] [Indexed: 11/10/2022]
Abstract
The role of pathology in patient management has evolved over time from the retrospective review of cells, tissue, and disease (‘what happened’) to a prospective outlook (‘what will happen’). Examination of a static, two‐dimensional hematoxylin and eosin (H&E)‐stained tissue slide has traditionally been the pathologist's primary task, but novel ancillary techniques enabled by technological breakthroughs have supported pathologists in their increasing ability to predict disease status and behaviour. Nevertheless, the informational limits of 2D, fixed tissue are now being reached and technological innovation is urgently needed to ensure that our understanding of disease entities continues to support improved individualized treatment options. Here we review pioneering work currently underway in the field of cancer pathology that has the potential to capture information beyond the current basic snapshot. A selection of exciting new technologies is discussed that promise to facilitate integration of the functional and multidimensional (space and time) information needed to optimize the prognostic and predictive value of cancer pathology. Learning how to analyse, interpret, and apply the wealth of data acquired by these new approaches will challenge the knowledge and skills of the pathology community. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- C J H Kramer
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - M P G Vreeswijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - B Thijssen
- Division of Molecular Carcinogenesis, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.,Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - T Bosse
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - J Wesseling
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Pathology, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.,Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
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33
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LeBlanc VG, Trinh DL, Aslanpour S, Hughes M, Livingstone D, Jin D, Ahn BY, Blough MD, Cairncross JG, Chan JA, Kelly JJP, Marra MA. Single-cell landscapes of primary glioblastomas and matched explants and cell lines show variable retention of inter- and intratumor heterogeneity. Cancer Cell 2022; 40:379-392.e9. [PMID: 35303420 DOI: 10.1016/j.ccell.2022.02.016] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 10/01/2021] [Accepted: 02/23/2022] [Indexed: 12/12/2022]
Abstract
Glioblastomas (GBMs) are aggressive brain tumors characterized by extensive inter- and intratumor heterogeneity. Patient-derived models, such as organoids and explants, have recently emerged as useful models to study such heterogeneity, although the extent to which they can recapitulate GBM genomic features remains unclear. Here, we analyze bulk exome and single-cell genome and transcriptome profiles of 12 IDH wild-type GBMs, including two recurrent tumors, and of patient-derived explants (PDEs) and gliomasphere (GS) lines derived from these tumors. We find that PDEs are genetically similar to, and variably retain gene expression characteristics of, their parent tumors. Notably, PDEs appear to exhibit similar levels of transcriptional heterogeneity compared with their parent tumors, whereas GS lines tend to be enriched for cells in a more uniform transcriptional state. The approaches and datasets introduced here will provide a valuable resource to help guide experiments using GBM-derived models, especially in the context of studying cellular heterogeneity.
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Affiliation(s)
- Véronique G LeBlanc
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, V5Z 4S6 BC, Canada
| | - Diane L Trinh
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, V5Z 4S6 BC, Canada
| | - Shaghayegh Aslanpour
- Department of Clinical Neurosciences, University of Calgary, Calgary, T2N 2T9 AB, Canada; Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, T2N 4Z6 AB, Canada
| | - Martha Hughes
- Department of Clinical Neurosciences, University of Calgary, Calgary, T2N 2T9 AB, Canada; Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, T2N 4Z6 AB, Canada
| | - Dorothea Livingstone
- Department of Clinical Neurosciences, University of Calgary, Calgary, T2N 2T9 AB, Canada; Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, T2N 4Z6 AB, Canada
| | - Dan Jin
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, V5Z 4S6 BC, Canada
| | - Bo Young Ahn
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, T2N 4Z6 AB, Canada
| | - Michael D Blough
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, T2N 4Z6 AB, Canada
| | - J Gregory Cairncross
- Department of Clinical Neurosciences, University of Calgary, Calgary, T2N 2T9 AB, Canada; Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, T2N 4Z6 AB, Canada
| | - Jennifer A Chan
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, T2N 4Z6 AB, Canada; Department of Pathology & Laboratory Medicine, University of Calgary, Calgary, T2L 2K8 AB, Canada
| | - John J P Kelly
- Department of Clinical Neurosciences, University of Calgary, Calgary, T2N 2T9 AB, Canada; Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, T2N 4Z6 AB, Canada
| | - Marco A Marra
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, V5Z 4S6 BC, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, V6H 3N1 BC, Canada.
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Galland L, Ballot E, Mananet H, Boidot R, Lecuelle J, Albuisson J, Arnould L, Desmoulins I, Mayeur D, Kaderbhai C, Ilie S, Hennequin A, Bergeron A, Derangère V, Ghiringhelli F, Truntzer C, Ladoire S. Efficacy of platinum-based chemotherapy in metastatic breast cancer and HRD biomarkers: utility of exome sequencing. NPJ Breast Cancer 2022; 8:28. [PMID: 35246547 PMCID: PMC8897409 DOI: 10.1038/s41523-022-00395-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 01/31/2022] [Indexed: 12/28/2022] Open
Abstract
Metastatic breast cancer (MBC) is frequently managed by platinum-based chemotherapy during the disease course. The real benefit of these treatments is uncertain at advanced stages of the disease and in non-triple-negative subtypes. Since homologous recombination deficiency (HRD) could inform about tumor sensitivity to DNA-damaging agents, we aimed to determine biomarkers of genomic instability, and their link with platinum efficacy. In this single-center study, we report BRCA1/2 mutational status, HRD score and signature 3 levels, all obtained by tumor exome sequencing, in 86 patients with various subtypes of MBC and who received platinum-based chemotherapy. Overall response rate, disease control rate, PFS and PFS2/PFS1 ratio were evaluated to assess platinum-based chemotherapy efficacy. Among the 86 tumor samples analyzed, 7 harbored BRCA1/2 mutations. We found a subset of BRCA-proficient MBC with high HRD score or high S3 levels, comparable to BRCA-mutated tumors. However, these patients with high HRD score or high S3 tumor level do not seem to benefit more from platinum-based chemotherapy than the others, in terms of response rates and/or PFS, regardless of BC molecular subtype. By multivariate analysis, only the absence of liver metastases was independently associated with significantly better PFS on platinum-based chemotherapy. However, some of our exploratory analyses reveal that certain methods, when optimized, seem to associate with platinum benefit. Tumor exome sequencing methodology for quantifying HRD has to be approached systematically, and further validated and standardized prior to its clinical use. Further studies are warranted to confirm these results to guide platinum use in MBC.
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Affiliation(s)
- Loïck Galland
- Department of Medical Oncology, Centre Georges François Leclerc, Dijon, France.,Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center, Dijon, France.,University of Burgundy-Franche Comté, Besançon, France
| | - Elise Ballot
- Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center, Dijon, France
| | - Hugo Mananet
- Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center, Dijon, France
| | - Romain Boidot
- Department of Pathology and Tumor Biology, Centre Georges François Leclerc, Dijon, France
| | - Julie Lecuelle
- Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center, Dijon, France
| | - Juliette Albuisson
- Department of Pathology and Tumor Biology, Centre Georges François Leclerc, Dijon, France.,Genomic and Immunotherapy Medical Institute, Dijon University Hospital, Dijon, France
| | - Laurent Arnould
- Department of Pathology and Tumor Biology, Centre Georges François Leclerc, Dijon, France
| | - Isabelle Desmoulins
- Department of Medical Oncology, Centre Georges François Leclerc, Dijon, France
| | - Didier Mayeur
- Department of Medical Oncology, Centre Georges François Leclerc, Dijon, France
| | - Courèche Kaderbhai
- Department of Medical Oncology, Centre Georges François Leclerc, Dijon, France
| | - Silvia Ilie
- Department of Medical Oncology, Centre Georges François Leclerc, Dijon, France
| | - Audrey Hennequin
- Department of Medical Oncology, Centre Georges François Leclerc, Dijon, France
| | - Anthony Bergeron
- Department of Pathology and Tumor Biology, Centre Georges François Leclerc, Dijon, France
| | - Valentin Derangère
- Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center, Dijon, France.,University of Burgundy-Franche Comté, Besançon, France.,Department of Pathology and Tumor Biology, Centre Georges François Leclerc, Dijon, France
| | - François Ghiringhelli
- Department of Medical Oncology, Centre Georges François Leclerc, Dijon, France.,Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center, Dijon, France.,University of Burgundy-Franche Comté, Besançon, France.,Genomic and Immunotherapy Medical Institute, Dijon University Hospital, Dijon, France.,Centre de Recherche INSERM LNC-UMR1231, Dijon, France
| | - Caroline Truntzer
- Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center, Dijon, France.,Genomic and Immunotherapy Medical Institute, Dijon University Hospital, Dijon, France
| | - Sylvain Ladoire
- Department of Medical Oncology, Centre Georges François Leclerc, Dijon, France. .,Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center, Dijon, France. .,University of Burgundy-Franche Comté, Besançon, France. .,Genomic and Immunotherapy Medical Institute, Dijon University Hospital, Dijon, France. .,Centre de Recherche INSERM LNC-UMR1231, Dijon, France.
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35
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Farmanbar A, Firouzi S, Kneller R, Khiabanian H. Mutational signatures reveal ternary relationships between homologous recombination repair, APOBEC, and mismatch repair in gynecological cancers. J Transl Med 2022; 20:65. [PMID: 35109853 PMCID: PMC8812249 DOI: 10.1186/s12967-022-03259-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 01/17/2022] [Indexed: 01/29/2023] Open
Abstract
Background Revealing the impacts of endogenous and exogenous mutagenesis processes is essential for understanding the etiology of somatic genomic alterations and designing precise prognostication and treatment strategies for cancer. DNA repair deficiency is one of the main sources of endogenous mutagenesis and is increasingly recognized as a target for cancer therapeutics. The role and prevalence of mechanisms that underly different forms of DNA repair deficiencies and their interactions remain to be elucidated in gynecological malignancies. Methods We analyzed 1231 exomes and 268 whole-genomes from three major gynecological malignancies including uterine corpus endometrial carcinoma (UCEC) as well as ovarian and cervical cancers. We also analyzed data from 134 related cell lines. We extracted and compared de novo and refitted mutational signature profiles using complementary and confirmatory approaches and performed interaction analysis to detect co-occurring and mutually exclusive signatures. Results We found an inverse relationship between homologous recombination deficiency (HRd) and mismatch repair deficiency (MMRd). Moreover, APOBEC co-occurred with HRd but was mutually exclusive with MMRd. UCEC tumors were dominated by MMRd, yet a subset of them manifested the HRd and APOBEC signatures. Conversely, ovarian tumors were dominated by HRd, while a subset represented MMRd and APOBEC. In contrast to both, cervical tumors were dominated by APOBEC with a small subsets showing the POLE, HRd, and MMRd signatures. Although the type, prevalence, and heterogeneity of mutational signatures varied across the tumor types, the patterns of co-occurrence and exclusivity were consistently observed in all. Notably, mutational signatures in gynecological tumor cell lines reflected those detected in primary tumors. Conclusions Taken together, these analyses indicate that application of mutation signature analysis not only advances our understanding of mutational processes and their interactions, but also it has the potential to stratify patients that could benefit from treatments available for tumors harboring distinct mutational signatures and to improve clinical decision-making for gynecological malignancies. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-022-03259-0.
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Affiliation(s)
- Amir Farmanbar
- Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, 08903, USA
| | - Sanaz Firouzi
- Institute for Cancer Genetics, Columbia University, New York, NY, 10032, USA.
| | - Robert Kneller
- Research Center for Advanced Science and Technology, University of Tokyo, Minato-ku, Tokyo, 153-8904, Japan
| | - Hossein Khiabanian
- Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, 08903, USA. .,Department of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, 08903, USA.
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36
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Ramsden DA, Carvajal-Garcia J, Gupta GP. Mechanism, cellular functions and cancer roles of polymerase-theta-mediated DNA end joining. Nat Rev Mol Cell Biol 2022; 23:125-140. [PMID: 34522048 DOI: 10.1038/s41580-021-00405-2] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2021] [Indexed: 02/08/2023]
Abstract
Cellular pathways that repair chromosomal double-strand breaks (DSBs) have pivotal roles in cell growth, development and cancer. These DSB repair pathways have been the target of intensive investigation, but one pathway - alternative end joining (a-EJ) - has long resisted elucidation. In this Review, we highlight recent progress in our understanding of a-EJ, especially the assignment of DNA polymerase theta (Polθ) as the predominant mediator of a-EJ in most eukaryotes, and discuss a potential molecular mechanism by which Polθ-mediated end joining (TMEJ) occurs. We address possible cellular functions of TMEJ in resolving DSBs that are refractory to repair by non-homologous end joining (NHEJ), DSBs generated following replication fork collapse and DSBs present owing to stalling of repair by homologous recombination. We also discuss how these context-dependent cellular roles explain how TMEJ can both protect against and cause genome instability, and the emerging potential of Polθ as a therapeutic target in cancer.
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Affiliation(s)
- Dale A Ramsden
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Juan Carvajal-Garcia
- Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gaorav P Gupta
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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37
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Brady SW, Gout AM, Zhang J. Therapeutic and prognostic insights from the analysis of cancer mutational signatures. Trends Genet 2022; 38:194-208. [PMID: 34483003 PMCID: PMC8752466 DOI: 10.1016/j.tig.2021.08.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/06/2021] [Accepted: 08/11/2021] [Indexed: 02/08/2023]
Abstract
The somatic mutations in each cancer genome are caused by multiple mutational processes, each of which leaves a characteristic imprint (or 'signature'), potentially caused by specific etiologies or exposures. Deconvolution of these signatures offers a glimpse into the evolutionary history of individual tumors. Recent work has shown that mutational signatures may also yield therapeutic and prognostic insights, including the identification of cell-intrinsic signatures as biomarkers of drug response and prognosis. For example, mutational signatures indicating homologous recombination deficiency are associated with poly(ADP)-ribose polymerase (PARP) inhibitor sensitivity, whereas APOBEC-associated signatures are associated with ataxia telangiectasia and Rad3-related kinase (ATR) inhibitor sensitivity. Furthermore, therapy-induced mutational signatures implicated in cancer progression have also been uncovered, including the identification of thiopurine-induced TP53 mutations in leukemia. In this review, we explore the various ways mutational signatures can reveal new therapeutic and prognostic insights, thus extending their traditional role in identifying disease etiology.
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Affiliation(s)
- Samuel W Brady
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
| | - Alexander M Gout
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
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38
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Stewart MD, Merino Vega D, Arend RC, Baden JF, Barbash O, Beaubier N, Collins G, French T, Ghahramani N, Hinson P, Jelinic P, Marton MJ, McGregor K, Parsons J, Ramamurthy L, Sausen M, Sokol ES, Stenzinger A, Stires H, Timms KM, Turco D, Wang I, Williams JA, Wong-Ho E, Allen J. OUP accepted manuscript. Oncologist 2022; 27:167-174. [PMID: 35274707 PMCID: PMC8914493 DOI: 10.1093/oncolo/oyab053] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 11/05/2021] [Indexed: 11/12/2022] Open
Abstract
Background Homologous recombination deficiency (HRD) is a phenotype that is characterized by the inability of a cell to effectively repair DNA double-strand breaks using the homologous recombination repair (HRR) pathway. Loss-of-function genes involved in this pathway can sensitize tumors to poly(adenosine diphosphate [ADP]-ribose) polymerase (PARP) inhibitors and platinum-based chemotherapy, which target the destruction of cancer cells by working in concert with HRD through synthetic lethality. However, to identify patients with these tumors, it is vital to understand how to best measure homologous repair (HR) status and to characterize the level of alignment in these measurements across different diagnostic platforms. A key current challenge is that there is no standardized method to define, measure, and report HR status using diagnostics in the clinical setting. Methods Friends of Cancer Research convened a consortium of project partners from key healthcare sectors to address concerns about the lack of consistency in the way HRD is defined and methods for measuring HR status. Results This publication provides findings from the group’s discussions that identified opportunities to align the definition of HRD and the parameters that contribute to the determination of HR status. The consortium proposed recommendations and best practices to benefit the broader cancer community. Conclusion Overall, this publication provides additional perspectives for scientist, physician, laboratory, and patient communities to contextualize the definition of HRD and various platforms that are used to measure HRD in tumors.
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Affiliation(s)
- Mark D Stewart
- Corresponding author: Mark D. Stewart, 1800 M Street NW, Suite 1050 South, Washington, DC 20036, USA;
| | | | - Rebecca C Arend
- Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingam, AL, USA
| | | | - Olena Barbash
- Oncology Experimental Medicine Unit, GlaxoSmithKline, Philadelphia, PA, USA
| | | | | | - Tim French
- Global Medical Affairs, Diagnostics, AstraZeneca, Cambridge, UK
| | - Negar Ghahramani
- Molecular Genetic Pathology Regional Laboratory, SCPMG Regional Reference Laboratories, Los Angeles, CA, USA
| | - Patsy Hinson
- Independent Cancer Research Patient Advocate, Charlotte, NC, USA
| | - Petar Jelinic
- Early Clinical Oncology, Merck & Co., Inc., Kenilworth, NJ, USA
| | | | - Kimberly McGregor
- Cancer Genomics Research Group, Foundation Medicine, Cambridge, MA, USA
| | | | | | - Mark Sausen
- Translational Medicine, Bristol Myers Squibb, New York, NY, USA
| | - Ethan S Sokol
- Cancer Genomics Research Group, Foundation Medicine, Cambridge, MA, USA
| | | | | | | | - Diana Turco
- Myriad Genetics, Inc., Salt Lake City, UT, USA
| | - Iris Wang
- Global Precision Medicine, Novartis Pharmaceuticals Corporation, New York, NY, USA
| | | | - Elaine Wong-Ho
- Clinical Sequencing Division, Thermo Fisher Scientific, San Francisco, CA, USA
| | - Jeff Allen
- Friends of Cancer Research, Washington, DC, USA
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Zhu L, Liu J, Chen J, Zhou Q. The developing landscape of combinatorial therapies of immune checkpoint blockade with DNA damage repair inhibitors for the treatment of breast and ovarian cancers. J Hematol Oncol 2021; 14:206. [PMID: 34930377 PMCID: PMC8686226 DOI: 10.1186/s13045-021-01218-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 12/05/2021] [Indexed: 02/07/2023] Open
Abstract
The use of immune checkpoint blockade (ICB) using antibodies against programmed death receptor (PD)-1, PD ligand (PD-L)-1, and cytotoxic T-lymphocyte antigen 4 (CTLA-4) has redefined the therapeutic landscape in solid tumors, including skin, lung, bladder, liver, renal, and breast tumors. However, overall response rates to ICB therapy remain limited in PD-L1-negative patients. Thus, rational and effective combination therapies will be needed to address ICB treatment resistance in these patients, as well as in PD-L1-positive patients who have progressed under ICB treatment. DNA damage repair inhibitors (DDRis) may activate T-cell responses and trigger inflammatory cytokines release and eventually immunogenic cancer cell death by amplifying DNA damage and generating immunogenic neoantigens, especially in DDR-defective tumors. DDRi may also lead to adaptive PD-L1 upregulation, providing a rationale for PD-L1/PD-1 blockade. Thus, based on preclinical evidence of efficacy and no significant overlapping toxicity, some ICB/DDRi combinations have rapidly progressed to clinical testing in breast and ovarian cancers. Here, we summarize the available clinical data on the combination of ICB with DDRi agents for treating breast and ovarian cancers and discuss the mechanisms of action and other lessons learned from translational studies conducted to date. We also review potential biomarkers to select patients most likely to respond to ICB/DDRi combination therapy.
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Affiliation(s)
- Lingling Zhu
- Lung Cancer Center, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Jiewei Liu
- Lung Cancer Center, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Jiang Chen
- Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, 310016, Zhejiang Province, China.
| | - Qinghua Zhou
- Lung Cancer Center, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan Province, China.
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40
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De Sarkar N, Dasgupta S, Chatterjee P, Coleman I, Ha G, Ang LS, Kohlbrenner EA, Frank SB, Nunez TA, Salipante SJ, Corey E, Morrissey C, Van Allen E, Schweizer MT, Haffner MC, Patel R, Hanratty B, Lucas JM, Dumpit RF, Pritchard CC, Montgomery RB, Nelson PS. Genomic attributes of homology-directed DNA repair deficiency in metastatic prostate cancer. JCI Insight 2021; 6:152789. [PMID: 34877933 PMCID: PMC8675196 DOI: 10.1172/jci.insight.152789] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/20/2021] [Indexed: 01/08/2023] Open
Abstract
Cancers with homology-directed DNA repair (HRR) deficiency exhibit high response rates to poly(ADP-ribose) polymerase inhibitors (PARPi) and platinum chemotherapy. Though mutations disrupting BRCA1 and BRCA2 associate with HRR deficiency (HRRd), patterns of genomic aberrations and mutation signatures may be more sensitive and specific indicators of compromised repair. Here, we evaluated whole-exome sequences from 418 metastatic prostate cancers (mPCs) and determined that one-fifth exhibited genomic characteristics of HRRd that included Catalogue Of Somatic Mutations In Cancer mutation signature 3. Notably, a substantial fraction of tumors with genomic features of HRRd lacked biallelic loss of a core HRR-associated gene, such as BRCA2. In this subset, HRRd associated with loss of chromodomain helicase DNA binding protein 1 but not with mutations in serine-protein kinase ATM, cyclin dependent kinase 12, or checkpoint kinase 2. HRRd genomic status was strongly correlated with responses to PARPi and platinum chemotherapy, a finding that supports evaluating biomarkers reflecting functional HRRd for treatment allocation.
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Affiliation(s)
| | | | | | | | - Gavin Ha
- Divisions of Human Biology.,Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Lisa S Ang
- Divisions of Human Biology.,Clinical Research
| | | | | | | | | | - Eva Corey
- Department of Urology, University of Washington, Seattle, Washington, USA
| | - Colm Morrissey
- Department of Urology, University of Washington, Seattle, Washington, USA
| | | | - Michael T Schweizer
- Division of Oncology, Department of Medicine, University of Washington, Seattle, Washington, USA
| | | | | | | | | | | | | | - Robert B Montgomery
- Division of Oncology, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Peter S Nelson
- Divisions of Human Biology.,Clinical Research.,Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.,Department of Laboratory Medicine and Pathology and.,Department of Urology, University of Washington, Seattle, Washington, USA.,Division of Oncology, Department of Medicine, University of Washington, Seattle, Washington, USA
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41
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Yordanova M, Hubert A, Hassan S. Expanding the Use of PARP Inhibitors as Monotherapy and in Combination in Triple-Negative Breast Cancer. Pharmaceuticals (Basel) 2021; 14:1270. [PMID: 34959671 PMCID: PMC8709256 DOI: 10.3390/ph14121270] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 11/27/2021] [Accepted: 11/29/2021] [Indexed: 12/31/2022] Open
Abstract
Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, and is known to be associated with a poor prognosis and limited therapeutic options. Poly (ADP-ribose) polymerase inhibitors (PARPi) are targeted therapeutics that have demonstrated efficacy as monotherapy in metastatic BRCA-mutant (BRCAMUT) TNBC patients. Improved efficacy of PARPi has been demonstrated in BRCAMUT breast cancer patients who have either received fewer lines of chemotherapy or in chemotherapy-naïve patients in the metastatic, adjuvant, and neoadjuvant settings. Moreover, recent trials in smaller cohorts have identified anti-tumor activity of PARPi in TNBC patients, regardless of BRCA-mutation status. While there have been concerns regarding the efficacy and toxicity of the use of PARPi in combination with chemotherapy, these challenges can be mitigated with careful attention to PARPi dosing strategies. To better identify a patient subpopulation that will best respond to PARPi, several genomic biomarkers of homologous recombination deficiency have been tested. However, gene expression signatures associated with PARPi response can integrate different pathways in addition to homologous recombination deficiency and can be implemented in the clinic more readily. Taken together, PARPi have great potential for use in TNBC patients beyond BRCAMUT status, both as a single-agent and in combination.
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Affiliation(s)
- Mariya Yordanova
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada;
| | - Audrey Hubert
- Faculty of Medicine, Université de Montréal, Montréal, QC H3C 3T5, Canada;
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), l’Institut de Cancer de Montreal, Montreal, QC H2X 0A9, Canada
| | - Saima Hassan
- Faculty of Medicine, Université de Montréal, Montréal, QC H3C 3T5, Canada;
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), l’Institut de Cancer de Montreal, Montreal, QC H2X 0A9, Canada
- Division of Surgical Oncology, Department of Surgery, Centre Hospitalier de l’Université de Montréal (CHUM), Montreal, QC H2X 0C1, Canada
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42
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Ansari-Pour N, Zheng Y, Yoshimatsu TF, Sanni A, Ajani M, Reynier JB, Tapinos A, Pitt JJ, Dentro S, Woodard A, Rajagopal PS, Fitzgerald D, Gruber AJ, Odetunde A, Popoola A, Falusi AG, Babalola CP, Ogundiran T, Ibrahim N, Barretina J, Van Loo P, Chen M, White KP, Ojengbede O, Obafunwa J, Huo D, Wedge DC, Olopade OI. Whole-genome analysis of Nigerian patients with breast cancer reveals ethnic-driven somatic evolution and distinct genomic subtypes. Nat Commun 2021; 12:6946. [PMID: 34836952 PMCID: PMC8626467 DOI: 10.1038/s41467-021-27079-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 11/02/2021] [Indexed: 02/08/2023] Open
Abstract
Black women across the African diaspora experience more aggressive breast cancer with higher mortality rates than white women of European ancestry. Although inter-ethnic germline variation is known, differential somatic evolution has not been investigated in detail. Analysis of deep whole genomes of 97 breast cancers, with RNA-seq in a subset, from women in Nigeria in comparison with The Cancer Genome Atlas (n = 76) reveal a higher rate of genomic instability and increased intra-tumoral heterogeneity as well as a unique genomic subtype defined by early clonal GATA3 mutations with a 10.5-year younger age at diagnosis. We also find non-coding mutations in bona fide drivers (ZNF217 and SYPL1) and a previously unreported INDEL signature strongly associated with African ancestry proportion, underscoring the need to expand inclusion of diverse populations in biomedical research. Finally, we demonstrate that characterizing tumors for homologous recombination deficiency has significant clinical relevance in stratifying patients for potentially life-saving therapies. Breast cancer heterogeneity and tumour evolutionary trajectories remain largely unknown among women of African ancestry. Here, the authors perform whole genome and transcriptome sequencing of Nigerian breast cancer patients and identify unique evolutionary phenomena.
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Affiliation(s)
- Naser Ansari-Pour
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.,MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Yonglan Zheng
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Toshio F Yoshimatsu
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Ayodele Sanni
- Department of Pathology and Forensic Medicine, Lagos State University Teaching Hospital, Ikeja, Lagos, Nigeria
| | - Mustapha Ajani
- Department of Pathology, University of Ibadan, Ibadan, Oyo, Nigeria
| | - Jean-Baptiste Reynier
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Avraam Tapinos
- Manchester Cancer Research Centre, University of Manchester, Manchester, M20 4GJ, UK
| | - Jason J Pitt
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, 117599, Singapore
| | - Stefan Dentro
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, CB10 1SD, UK.,Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Anna Woodard
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA.,Department of Computer Science, The University of Chicago, Chicago, IL, 60637, USA
| | - Padma Sheila Rajagopal
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Dominic Fitzgerald
- Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL, 60637, USA
| | - Andreas J Gruber
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.,Manchester Cancer Research Centre, University of Manchester, Manchester, M20 4GJ, UK
| | - Abayomi Odetunde
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria
| | - Abiodun Popoola
- Oncology Unit, Department of Radiology, Lagos State University, Ikeja, Lagos, Nigeria
| | - Adeyinka G Falusi
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria
| | - Chinedum Peace Babalola
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo, Nigeria
| | - Temidayo Ogundiran
- Department of Surgery, University College Hospital, Ibadan, Oyo, Nigeria
| | - Nasiru Ibrahim
- Department of Surgery, Lagos State University Teaching Hospital, Ikeja, Lagos, Nigeria
| | - Jordi Barretina
- Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | | | - Mengjie Chen
- Department of Human Genetics, The University of Chicago, Chicago, IL, 60637, USA.,Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | | | - Oladosu Ojengbede
- Centre for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria
| | - John Obafunwa
- Department of Pathology and Forensic Medicine, Lagos State University Teaching Hospital, Ikeja, Lagos, Nigeria
| | - Dezheng Huo
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, 60637, USA
| | - David C Wedge
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK. .,Manchester Cancer Research Centre, University of Manchester, Manchester, M20 4GJ, UK.
| | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA.
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Bhalla S, Melnekoff DT, Aleman A, Leshchenko V, Restrepo P, Keats J, Onel K, Sawyer JR, Madduri D, Richter J, Richard S, Chari A, Cho HJ, Dudley JT, Jagannath S, Laganà A, Parekh S. Patient similarity network of newly diagnosed multiple myeloma identifies patient subgroups with distinct genetic features and clinical implications. SCIENCE ADVANCES 2021; 7:eabg9551. [PMID: 34788103 PMCID: PMC8598000 DOI: 10.1126/sciadv.abg9551] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 09/29/2021] [Indexed: 05/04/2023]
Abstract
The remarkable genetic heterogeneity of multiple myeloma poses a substantial challenge for proper prognostication and clinical management of patients. Here, we introduce MM-PSN, the first multiomics patient similarity network of myeloma. MM-PSN enabled accurate dissection of the genetic and molecular landscape of the disease and determined 12 distinct subgroups defined by five data types generated from genomic and transcriptomic profiling of 655 patients. MM-PSN identified patient subgroups not previously described defined by specific patterns of alterations, enriched for specific gene vulnerabilities, and associated with potential therapeutic options. Our analysis revealed that co-occurrence of t(4;14) and 1q gain identified patients at significantly higher risk of relapse and shorter survival as compared to t(4;14) as a single lesion. Furthermore, our results show that 1q gain is the most important single lesion conferring high risk of relapse and that it can improve on the current International Staging Systems (ISS and R-ISS).
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Affiliation(s)
- Sherry Bhalla
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David T. Melnekoff
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adolfo Aleman
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Violetta Leshchenko
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Paula Restrepo
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jonathan Keats
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Kenan Onel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatric Hematology and Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology, Molecular, and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeffrey R. Sawyer
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Deepu Madduri
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joshua Richter
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shambavi Richard
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ajai Chari
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hearn Jay Cho
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Sundar Jagannath
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alessandro Laganà
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Samir Parekh
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Barenboim M, Kovac M, Ameline B, Jones DTW, Witt O, Bielack S, Burdach S, Baumhoer D, Nathrath M. DNA methylation-based classifier and gene expression signatures detect BRCAness in osteosarcoma. PLoS Comput Biol 2021; 17:e1009562. [PMID: 34762643 PMCID: PMC8584788 DOI: 10.1371/journal.pcbi.1009562] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 10/14/2021] [Indexed: 11/29/2022] Open
Abstract
Although osteosarcoma (OS) is a rare cancer, it is the most common primary malignant bone tumor in children and adolescents. BRCAness is a phenotypical trait in tumors with a defect in homologous recombination repair, resembling tumors with inactivation of BRCA1/2, rendering these tumors sensitive to poly (ADP)-ribose polymerase inhibitors (PARPi). Recently, OS was shown to exhibit molecular features of BRCAness. Our goal was to develop a method complementing existing genomic methods to aid clinical decision making on administering PARPi in OS patients. OS samples with DNA-methylation data were divided to BRCAness-positive and negative groups based on the degree of their genomic instability (n = 41). Methylation probes were ranked according to decreasing variance difference between two groups. The top 2000 probes were selected for training and cross-validation of the random forest algorithm. Two-thirds of available OS RNA-Seq samples (n = 17) from the top and bottom of the sample list ranked according to genome instability score were subjected to differential expression and, subsequently, to gene set enrichment analysis (GSEA). The combined accuracy of trained random forest was 85% and the average area under the ROC curve (AUC) was 0.95. There were 449 upregulated and 1,079 downregulated genes in the BRCAness-positive group (fdr < 0.05). GSEA of upregulated genes detected enrichment of DNA replication and mismatch repair and homologous recombination signatures (FWER < 0.05). Validation of the BRCAness classifier with an independent OS set (n = 20) collected later in the course of study showed AUC of 0.87 with an accuracy of 90%. GSEA signatures computed for this test set were matching the ones observed in the training set enrichment analysis. In conclusion, we developed a new classifier based on DNA-methylation patterns that detects BRCAness in OS samples with high accuracy. GSEA identified genome instability signatures. Machine-learning and gene expression approaches add new epigenomic and transcriptomic aspects to already established genomic methods for evaluation of BRCAness in osteosarcoma and can be extended to cancers characterized by genome instability. Osteosarcoma (OS) is the most common primary malignant tumor of bone in children and young adults with poor prognosis for patients with refractory or metastatic disease. A common feature, so-called BRCAness, exists in multiple cancers including OS and is characterized by homologous recombination deficiency. Tumors exhibiting BRCAness have been shown to respond to therapy with PARP inhibitors. Currently, BRCAness is mostly assessed by the genomic instability score. This method based on the DNA sequencing requires normal tissue DNA as control and is vulnerable to subjective interpretation of "genomic scarring" events. In this study, we implemented a classifier based on DNA methylation patterns. It is capable of detecting BRCAness in OS samples and does not require control tissue DNA. Therefore, it has the potential to support clinical decision making on administering PARPi in OS patients. We further corroborated the presence of BRCAness in OS by detecting homologous recombination signatures through gene expression analysis.
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Affiliation(s)
- Maxim Barenboim
- Department of Pediatrics and Children’s Cancer Research Center, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
- * E-mail: (MB); (MN)
| | - Michal Kovac
- University Hospital Basel and University of Basel, Bone Tumour Reference Centre at the Institute of Pathology, Basel, Switzerland
- Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia
| | - Baptiste Ameline
- University Hospital Basel and University of Basel, Bone Tumour Reference Centre at the Institute of Pathology, Basel, Switzerland
| | - David T. W. Jones
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
| | - Olaf Witt
- Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- University Hospital Heidelberg, Hematology and Immunology at the Department of Pediatric Oncology, Heidelberg, Germany
| | - Stefan Bielack
- Klinikum Stuttgart–Olgahospital, Stuttgart Cancer Center, Pediatrics 5 (Oncology, Hematology, Immunology), Stuttgart, Germany
| | - Stefan Burdach
- Department of Pediatrics and Children’s Cancer Research Center, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
- CCC München—Comprehensive Cancer Center, DKTK German Cancer Consortium, Munich, Germany
| | - Daniel Baumhoer
- University Hospital Basel and University of Basel, Bone Tumour Reference Centre at the Institute of Pathology, Basel, Switzerland
| | - Michaela Nathrath
- Department of Pediatrics and Children’s Cancer Research Center, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
- Klinikum Kassel, Department of Pediatric Oncology, Kassel, Germany
- * E-mail: (MB); (MN)
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45
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Chiang YC, Lin PH, Cheng WF. Homologous Recombination Deficiency Assays in Epithelial Ovarian Cancer: Current Status and Future Direction. Front Oncol 2021; 11:675972. [PMID: 34722237 PMCID: PMC8551835 DOI: 10.3389/fonc.2021.675972] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 09/17/2021] [Indexed: 01/02/2023] Open
Abstract
Epithelial ovarian cancer (EOC) patients are generally diagnosed at an advanced stage, usually relapse after initial treatments, which include debulking surgery and adjuvant platinum-based chemotherapy, and eventually have poor 5-year survival of less than 50%. In recent years, promising survival benefits from maintenance therapy with poly(ADP-ribose) polymerase (PARP) inhibitor (PARPi) has changed the management of EOC in newly diagnosed and recurrent disease. Identification of BRCA mutations and/or homologous recombination deficiency (HRD) is critical for selecting patients for PARPi treatment. However, the currently available HRD assays are not perfect predictors of the clinical response to PARPis in EOC patients. In this review, we introduce the concept of synthetic lethality, the rationale of using PARPi when HRD is present in tumor cells, the clinical trials of PARPi incorporating the HRD assays for EOC, the current HRD assays, and other HRD assays in development.
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Affiliation(s)
- Ying-Cheng Chiang
- Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Po-Han Lin
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan.,Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Fang Cheng
- Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan
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D'Agay MDG, Galland L, Tharin Z, Truntzer C, Ghiringhelli F. Utility of exome sequencing in routine care for metastatic colorectal cancer. Mol Clin Oncol 2021; 15:229. [PMID: 34631054 PMCID: PMC8461624 DOI: 10.3892/mco.2021.2392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 07/01/2021] [Indexed: 12/24/2022] Open
Abstract
Metastatic colorectal cancer (mCRC) is a heterogenous disease and its prognosis depends on clinical features, such as tumor sidedness, and whether it is metachronous or synchronous. However, little is known about the overall genomic characterization of mCRC in these clinical subtypes. This single-center observational study included 77 patients with mCRC who underwent somatic and germline exome analysis during the first or second line of therapy in 2018. Somatic and germline variants were determined in addition to tumor mutational burden, ploidy, clonality, human leucocyte antigen typing, neoantigens, and mutational and copy number signatures. Variables associated with sidedness, synchronous status and RAS status were determined using Fisher's test; and variables associated with overall survival were determined using univariate Cox survival models. The present study successfully generated whole exome sequencing analysis in 77 mCRC cases. Among them, 50 were left- and rectal-sided, while 27 were right-sided. Furthermore, 27 were metachronous and 46 were RAS-mutated. The median OS was 3.75 years. It was observed that signature single nucleotide variation (SNV) 26, oncogenic alterations in receptor tyrosine kinase and nucleotide excision repair pathways were associated with tumor sidedness. SNV signature 3, Hedgehog signaling and mismatch repair pathways were associated with synchronous status. Phosphatidylinositol signaling system, ERK signaling and chromatin organization pathways were associated with RAS mutant status. In the whole cohort, metachronous metastasis was associated with improved survival. On gene variation, PTEN, PDGFRA, MYCN and SMAD4 were associated with poor prognosis, as was SNV signature 15. In conclusion, this study highlighted that structural and pathway genomic features are associated with sidedness, synchronous status, RAS status and overall survival and could be helpful to improve the stratification of patients with colorectal cancer.
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Affiliation(s)
- Melchior De Giraud D'Agay
- Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
- University of Burgundy-Franche Comté, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
| | - Loïck Galland
- Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
- University of Burgundy-Franche Comté, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
- Department of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
| | - Zoe Tharin
- Department of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
| | - Caroline Truntzer
- Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
- Department of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
- Genomic and Immunotherapy Medical Institute, Dijon University Hospital, 21000 Dijon, France
| | - Francois Ghiringhelli
- Platform of Transfer in Biological Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
- University of Burgundy-Franche Comté, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
- Department of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France
- Genomic and Immunotherapy Medical Institute, Dijon University Hospital, 21000 Dijon, France
- Mixed Research Unity (UMR - Unité de Recherche Mixte) 1231 - INSERM, 21000 Dijon, France
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Koh G, Degasperi A, Zou X, Momen S, Nik-Zainal S. Mutational signatures: emerging concepts, caveats and clinical applications. Nat Rev Cancer 2021; 21:619-637. [PMID: 34316057 DOI: 10.1038/s41568-021-00377-7] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/08/2021] [Indexed: 02/05/2023]
Abstract
Whole-genome sequencing has brought the cancer genomics community into new territory. Thanks to the sheer power provided by the thousands of mutations present in each patient's cancer, we have been able to discern generic patterns of mutations, termed 'mutational signatures', that arise during tumorigenesis. These mutational signatures provide new insights into the causes of individual cancers, revealing both endogenous and exogenous factors that have influenced cancer development. This Review brings readers up to date in a field that is expanding in computational, experimental and clinical directions. We focus on recent conceptual advances, underscoring some of the caveats associated with using the mutational signature frameworks and highlighting the latest experimental insights. We conclude by bringing attention to areas that are likely to see advancements in clinical applications.
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Affiliation(s)
- Gene Koh
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Andrea Degasperi
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Xueqing Zou
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Sophie Momen
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Serena Nik-Zainal
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
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48
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Zhang T, Joubert P, Ansari-Pour N, Zhao W, Hoang PH, Lokanga R, Moye AL, Rosenbaum J, Gonzalez-Perez A, Martínez-Jiménez F, Castro A, Muscarella LA, Hofman P, Consonni D, Pesatori AC, Kebede M, Li M, Gould Rothberg BE, Peneva I, Schabath MB, Poeta ML, Costantini M, Hirsch D, Heselmeyer-Haddad K, Hutchinson A, Olanich M, Lawrence SM, Lenz P, Duggan M, Bhawsar PMS, Sang J, Kim J, Mendoza L, Saini N, Klimczak LJ, Islam SMA, Otlu B, Khandekar A, Cole N, Stewart DR, Choi J, Brown KM, Caporaso NE, Wilson SH, Pommier Y, Lan Q, Rothman N, Almeida JS, Carter H, Ried T, Kim CF, Lopez-Bigas N, Garcia-Closas M, Shi J, Bossé Y, Zhu B, Gordenin DA, Alexandrov LB, Chanock SJ, Wedge DC, Landi MT. Genomic and evolutionary classification of lung cancer in never smokers. Nat Genet 2021; 53:1348-1359. [PMID: 34493867 PMCID: PMC8432745 DOI: 10.1038/s41588-021-00920-0] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 07/15/2021] [Indexed: 12/26/2022]
Abstract
Lung cancer in never smokers (LCINS) is a common cause of cancer mortality but its genomic landscape is poorly characterized. Here high-coverage whole-genome sequencing of 232 LCINS showed 3 subtypes defined by copy number aberrations. The dominant subtype (piano), which is rare in lung cancer in smokers, features somatic UBA1 mutations, germline AR variants and stem cell-like properties, including low mutational burden, high intratumor heterogeneity, long telomeres, frequent KRAS mutations and slow growth, as suggested by the occurrence of cancer drivers' progenitor cells many years before tumor diagnosis. The other subtypes are characterized by specific amplifications and EGFR mutations (mezzo-forte) and whole-genome doubling (forte). No strong tobacco smoking signatures were detected, even in cases with exposure to secondhand tobacco smoke. Genes within the receptor tyrosine kinase-Ras pathway had distinct impacts on survival; five genomic alterations independently doubled mortality. These findings create avenues for personalized treatment in LCINS.
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Affiliation(s)
- Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Philippe Joubert
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University, Quebec City, Quebec, Canada
| | - Naser Ansari-Pour
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Wei Zhao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Phuc H Hoang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Rachel Lokanga
- Cancer Genomics Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Aaron L Moye
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
| | | | - Abel Gonzalez-Perez
- Institute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Francisco Martínez-Jiménez
- Institute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Andrea Castro
- Department of Medicine, Division of Medical Genetics, University of California San Diego, San Diego, CA, USA
| | - Lucia Anna Muscarella
- Laboratory of Oncology, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, University Hospital Federation OncoAge, Nice Hospital, University Côte d'Azur, Nice, France
| | - Dario Consonni
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Angela C Pesatori
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Michael Kebede
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Mengying Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Bonnie E Gould Rothberg
- Smilow Cancer Hospital, Yale-New Haven Health, New Haven, CT, USA
- Yale Comprehensive Cancer Center, New Haven, CT, USA
| | - Iliana Peneva
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Maria Luana Poeta
- Department of Bioscience, Biotechnology and Biopharmaceutics, University of Bari, Bari, Italy
| | - Manuela Costantini
- Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico Regina Elena National Cancer Institute, Rome, Italy
| | - Daniela Hirsch
- Cancer Genomics Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Mary Olanich
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Scott M Lawrence
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Petra Lenz
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Maire Duggan
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Praphulla M S Bhawsar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jian Sang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jung Kim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Laura Mendoza
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Natalie Saini
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle, NC, USA
| | - Leszek J Klimczak
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, Research Triangle, NC, USA
| | - S M Ashiqul Islam
- Department of Cellular and Molecular Medicine and Department of Bioengineering and Moores Cancer Center, University of California San Diego, San Diego, CA, USA
| | - Burcak Otlu
- Department of Cellular and Molecular Medicine and Department of Bioengineering and Moores Cancer Center, University of California San Diego, San Diego, CA, USA
| | - Azhar Khandekar
- Department of Cellular and Molecular Medicine and Department of Bioengineering and Moores Cancer Center, University of California San Diego, San Diego, CA, USA
| | - Nathan Cole
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Douglas R Stewart
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kevin M Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Samuel H Wilson
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle, NC, USA
| | - Yves Pommier
- Developmental Therapeutics Branch and Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jonas S Almeida
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Hannah Carter
- Department of Medicine, Division of Medical Genetics, University of California San Diego, San Diego, CA, USA
| | - Thomas Ried
- Cancer Genomics Section, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Carla F Kim
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Nuria Lopez-Bigas
- Institute for Research in Biomedicine Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | | | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yohan Bossé
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University, Quebec City, Quebec, Canada
- Department of Molecular Medicine, Laval University, Quebec City, Quebec, Canada
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Dmitry A Gordenin
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle, NC, USA
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine and Department of Bioengineering and Moores Cancer Center, University of California San Diego, San Diego, CA, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - David C Wedge
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Manchester Cancer Research Centre, The University of Manchester, Manchester, UK
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
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49
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Sztupinszki Z, Diossy M, Börcsök J, Prosz A, Cornelius N, Kjeldsen MK, Mirza MR, Szallasi Z. Comparative Assessment of Diagnostic Homologous Recombination Deficiency associated mutational signatures in ovarian cancer. Clin Cancer Res 2021; 27:5681-5687. [PMID: 34380641 DOI: 10.1158/1078-0432.ccr-21-0981] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 06/08/2021] [Accepted: 08/09/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Homologous recombination (HR) deficiency is one of the key determinants of PARP inhibitor response in ovarian cancer, and its accurate detection in tumor biopsies is expected to improve the efficacy of this therapy. Since HR deficiency induces a wide array of genomic aberrations, mutational signatures may serve as a companion diagnostic to identify PARP inhibitor responsive cases. METHODS From the TCGA whole exome sequencing data we extracted different types of mutational signature-based HR deficiency measures, such as the HRD score, genome-wide LOH and HRDetect trained on ovarian and breast cancer specific sequencing data. We compared their performance to identify BRCA1/2 deficient cases in the TCGA ovarian cancer cohort and predict survival benefit in platinum treated, BRCA1/2 wild type ovarian cancer. RESULTS We found that the HRD score, which is based on large chromosomal alterations alone, performed similarly well to an ovarian cancer specific HRDetect, which incorporates mutations on a finer scale as well (AUC=0.823 versus AUC=0.837). In an independent cohort these two methods were equally accurate predicting long term survival after platinum treatment (AUC=0.787 versus AUC=0.823). We also found that HRDetect trained on ovarian cancer was more accurate than HRDetect trained on breast cancer data (AUC=0.837 versus AUC=0.795, p=0.0072). CONCLUSION When WES data are available, methods that quantify only large chromosomal alterations such as the HRD score and HRDetect that captures a wider array of HR deficiency induced genomic aberrations are equally efficient identifying HR deficient ovarian cancer cases.
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Affiliation(s)
| | - Miklos Diossy
- Translational Cancer Genomics, Danish Cancer Society Research Center
| | - Judit Börcsök
- Translational Cancer Genomics, Danish Cancer Society Research Center
| | - Aurel Prosz
- Translational Cancer Genomics, Danish Cancer Society Research Center
| | | | | | | | - Zoltan Szallasi
- Children's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School
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50
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Tazzite A, Jouhadi H, Benider A, Nadifi S. BRCA Mutational Status is a Promising Predictive Biomarker for Platinum- based Chemotherapy in Triple-Negative Breast Cancer. Curr Drug Targets 2021; 21:962-973. [PMID: 32013831 DOI: 10.2174/1389450121666200203162541] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 11/21/2019] [Accepted: 12/18/2019] [Indexed: 01/18/2023]
Abstract
Triple-negative breast cancer (TNBC) can be distinguished from other breast malignancies by the lack of expression of estrogen receptors (ER), progesterone receptors (PR) as well as human epidermal growth factor receptor 2 (HER2). TNBC is associated with adverse clinical outcomes and high risk of metastasis. Currently, several clinical and translational reports are focusing on developing targeted therapies for this aggressive cancer. In addition to approved targeted drugs such as poly(ADP-ribose) polymerase inhibitors (PARPi) and immune-checkpoint inhibitors, platinum-based chemotherapy is still a cornerstone therapeutic option in TNBC. However, despite the observed improved outcomes with platinum- based chemotherapy in TNBC, there is still a large proportion of patients who do not respond to this treatment, hence, the need for predictive biomarkers to stratify TNBC patients and therefore, avoiding unwanted toxicities of these agents. With the emergence of genetic testing, several recent studies suggested mutations in breast cancer susceptibility gene (BRCA) in TNBC patients as important predictors of outcomes. These mutations alter the homologous recombination repair (HRR) mechanisms leading to genomic instability. Consequently, sensitivity to platinum-based treatments in this subpopulation of TNBC patients may be explained by cell death enhanced by deoxyribonucleic acid (DNA) damage induced by these potent anticancer drugs. Through this paper, we review several recent studies on this topic to better understand the mechanisms and discuss the potential of BRCA mutational status as a predictive biomarker of platinum-based chemotherapy in TNBC.
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Affiliation(s)
- Amal Tazzite
- Genetics and Molecular Pathology Laboratory, Medical school of Casablanca, Hassan II University, Casablanca, Morocco
| | - Hassan Jouhadi
- Mohammed VI Center for Cancer Treatment, Ibn Rochd University Hospital, Casablanca, Morocco
| | - Abdellatif Benider
- Mohammed VI Center for Cancer Treatment, Ibn Rochd University Hospital, Casablanca, Morocco
| | - Sellama Nadifi
- Genetics and Molecular Pathology Laboratory, Medical school of Casablanca, Hassan II University, Casablanca, Morocco
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