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Diabate M, Islam MM, Nagy G, Banerjee T, Dhar S, Smith N, Adamovich AI, Starita LM, Parvin JD. DNA repair function scores for 2172 variants in the BRCA1 amino-terminus. PLoS Genet 2023; 19:e1010739. [PMID: 37578980 PMCID: PMC10449183 DOI: 10.1371/journal.pgen.1010739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 08/24/2023] [Accepted: 07/16/2023] [Indexed: 08/16/2023] Open
Abstract
Single nucleotide variants are the most frequent type of sequence changes detected in the genome and these are frequently variants of uncertain significance (VUS). VUS are changes in DNA for which disease risk association is unknown. Thus, methods that classify the functional impact of a VUS can be used as evidence for variant interpretation. In the case of the breast and ovarian cancer specific tumor suppressor protein, BRCA1, pathogenic missense variants frequently score as loss of function in an assay for homology-directed repair (HDR) of DNA double-strand breaks. We previously published functional results using a multiplexed assay for 1056 amino acid substitutions residues 2-192 in the amino terminus of BRCA1. In this study, we have re-assessed the data from this multiplexed assay using an improved analysis pipeline. These new analysis methods yield functional scores for more variants in the first 192 amino acids of BRCA1, plus we report new results for BRCA1 amino acid residues 193-302. We now present the functional classification of 2172 BRCA1 variants in BRCA1 residues 2-302 using the multiplexed HDR assay. Comparison of the functional determinations of the missense variants with clinically known benign or pathogenic variants indicated 93% sensitivity and 100% specificity for this assay. The results from BRCA1 variants tested in this assay are a resource for clinical geneticists for evidence to evaluate VUS in BRCA1.
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Affiliation(s)
- Mariame Diabate
- The Ohio State University, Department of Biomedical Informatics, Columbus, Ohio, United States of America
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America
| | - Muhtadi M. Islam
- The Ohio State University, Department of Biomedical Informatics, Columbus, Ohio, United States of America
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America
| | - Gregory Nagy
- The Ohio State University, Department of Biomedical Informatics, Columbus, Ohio, United States of America
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America
| | - Tapahsama Banerjee
- The Ohio State University, Department of Biomedical Informatics, Columbus, Ohio, United States of America
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America
| | - Shruti Dhar
- The Ohio State University, Department of Biomedical Informatics, Columbus, Ohio, United States of America
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America
| | - Nahum Smith
- The University of Washington, Department of Genome Sciences, Seattle, Washington, United States of America
- Brotman Baty Institute for Precision Medicine, Seattle, Washington, United States of America
| | - Aleksandra I. Adamovich
- The Ohio State University, Department of Biomedical Informatics, Columbus, Ohio, United States of America
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America
| | - Lea M. Starita
- The University of Washington, Department of Genome Sciences, Seattle, Washington, United States of America
- Brotman Baty Institute for Precision Medicine, Seattle, Washington, United States of America
| | - Jeffrey D. Parvin
- The Ohio State University, Department of Biomedical Informatics, Columbus, Ohio, United States of America
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America
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Diabate M, Islam MM, Nagy G, Banerjee T, Dhar S, Smith N, Adamovich AI, Starita LM, Parvin JD. DNA Repair Function Scores for 2172 Variants in the BRCA1 Amino-Terminus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.10.536331. [PMID: 37090572 PMCID: PMC10120616 DOI: 10.1101/2023.04.10.536331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Single nucleotide variants are the most frequent type of sequence changes detected in the genome and these are frequently variants of uncertain significance (VUS). VUS are changes in DNA for which disease risk association is unknown. Thus, methods that classify the functional impact of a VUS can be used as evidence for variant interpretation. In the case of the breast and ovarian cancer specific tumor suppressor protein, BRCA1, pathogenic missense variants frequently score as loss of function in an assay for homology-directed repair (HDR) of DNA double-strand breaks. We previously published functional results using a multiplexed assay for 1056 amino acid substitutions residues 2-192 in the amino terminus of BRCA1. In this study, we have re-assessed the data from this multiplexed assay using an improved analysis pipeline. These new analysis methods yield functional scores for more variants in the first 192 amino acids of BRCA1, plus we report new results for BRCA1 amino acid residues 193-302. We now present the functional classification of 2172 BRCA1 variants in BRCA1 residues 2-302 using the multiplexed HDR assay. Comparison of the functional determinations of the missense variants with clinically known benign or pathogenic variants indicated 93% sensitivity and 100% specificity for this assay. The results from BRCA1 variants tested in this assay are a resource for clinical geneticists for evidence to evaluate VUS in BRCA1 . AUTHOR SUMMARY Most missense substitutions in BRCA1 are variants of unknown significance (VUS), and individuals with a VUS in BRCA1 cannot know from genetic information alone whether this variant predisposes to breast or ovarian cancer. We apply a multiplexed functional assay for homology directed repair of DNA double strand breaks to assess variant impact on this important BRCA1 protein function. We analyzed 2172 variants in the amino-terminus of BRCA1 and demonstrate that variants that are known as pathogenic have a loss of function in the DNA repair assay. Conversely, variants that are known to be benign are functionally normal in the multiplexed assay. We suggest that these functional determinations of BRCA1 variants can be used to augment the information that clinical cancer geneticists provide to patients who have a VUS in BRCA1 .
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Affiliation(s)
- Mariame Diabate
- The Ohio State University, Department of Biomedical Informatics, and The Ohio State University Comprehensive Center, Columbus, OH 43210
| | - Muhtadi M Islam
- The Ohio State University, Department of Biomedical Informatics, and The Ohio State University Comprehensive Center, Columbus, OH 43210
| | - Gregory Nagy
- The Ohio State University, Department of Biomedical Informatics, and The Ohio State University Comprehensive Center, Columbus, OH 43210
| | - Tapahsama Banerjee
- The Ohio State University, Department of Biomedical Informatics, and The Ohio State University Comprehensive Center, Columbus, OH 43210
| | - Shruti Dhar
- The Ohio State University, Department of Biomedical Informatics, and The Ohio State University Comprehensive Center, Columbus, OH 43210
| | - Nahum Smith
- The University of Washington, Department of Genome Sciences, Seattle, WA 98195
- Brotman Baty Institute for Precision Medicine, Seattle WA, 98195
| | - Aleksandra I Adamovich
- The Ohio State University, Department of Biomedical Informatics, and The Ohio State University Comprehensive Center, Columbus, OH 43210
| | - Lea M Starita
- The University of Washington, Department of Genome Sciences, Seattle, WA 98195
- Brotman Baty Institute for Precision Medicine, Seattle WA, 98195
| | - Jeffrey D Parvin
- The Ohio State University, Department of Biomedical Informatics, and The Ohio State University Comprehensive Center, Columbus, OH 43210
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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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Clark KA, Paquette A, Tao K, Bell R, Boyle JL, Rosenthal J, Snow AK, Stark AW, Thompson BA, Unger J, Gertz J, Varley KE, Boucher KM, Goldgar DE, Foulkes WD, Thomas A, Tavtigian SV. Comprehensive evaluation and efficient classification of BRCA1 RING domain missense substitutions. Am J Hum Genet 2022; 109:1153-1174. [PMID: 35659930 PMCID: PMC9247830 DOI: 10.1016/j.ajhg.2022.05.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 05/09/2022] [Indexed: 11/21/2022] Open
Abstract
BRCA1 is a high-risk susceptibility gene for breast and ovarian cancer. Pathogenic protein-truncating variants are scattered across the open reading frame, but all known missense substitutions that are pathogenic because of missense dysfunction are located in either the amino-terminal RING domain or the carboxy-terminal BRCT domain. Heterodimerization of the BRCA1 and BARD1 RING domains is a molecularly defined obligate activity. Hence, we tested every BRCA1 RING domain missense substitution that can be created by a single nucleotide change for heterodimerization with BARD1 in a mammalian two-hybrid assay. Downstream of the laboratory assay, we addressed three additional challenges: assay calibration, validation thereof, and integration of the calibrated results with other available data, such as computational evidence and patient/population observational data to achieve clinically applicable classification. Overall, we found that 15%-20% of BRCA1 RING domain missense substitutions are pathogenic. Using a Bayesian point system for data integration and variant classification, we achieved clinical classification of 89% of observed missense substitutions. Moreover, among missense substitutions not present in the human observational data used here, we find an additional 45 with concordant computational and functional assay evidence in favor of pathogenicity plus 223 with concordant evidence in favor of benignity; these are particularly likely to be classified as likely pathogenic and likely benign, respectively, once human observational data become available.
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Affiliation(s)
- Kathleen A Clark
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA
| | - Andrew Paquette
- Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Kayoko Tao
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA
| | - Russell Bell
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA
| | - Julie L Boyle
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA
| | - Judith Rosenthal
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA
| | - Angela K Snow
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA
| | - Alex W Stark
- Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Bryony A Thompson
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA
| | - Joshua Unger
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA
| | - Jason Gertz
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA; Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Katherine E Varley
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA; Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Kenneth M Boucher
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84108, USA
| | - David E Goldgar
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA; Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - William D Foulkes
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC H3T 1E2, Canada; Research Institute McGill University Health Center, Montreal, QC H3T 1E2, Canada; Departments of Medicine, Human Genetics, and Oncology, McGill University, Montreal, QC H3T 1E2, Canada
| | - Alun Thomas
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84108, USA
| | - Sean V Tavtigian
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT 84112, USA; Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, UT 84112, USA.
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5
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Ha HI, Ryu JS, Shim H, Kong SY, Lim MC. Reclassification of BRCA1 and BRCA2 variants found in ovarian epithelial, fallopian tube, and primary peritoneal cancers. J Gynecol Oncol 2021; 31:e83. [PMID: 33078592 PMCID: PMC7593220 DOI: 10.3802/jgo.2020.31.e83] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 06/22/2020] [Accepted: 07/12/2020] [Indexed: 12/24/2022] Open
Abstract
Objective We investigated the proportions of and reclassified BRCA1/2 variants of unknown significance (VUS) in Korean patients with epithelial ovarian, tubal, and primary peritoneal cancers. Methods Data from 805 patients who underwent genetic testing for BRCA1/2 from January 1, 2006 to August 31, 2018 were included. The VUS in BRCA1/2 were reclassified using the 2015 American College of Medical Genetics and Genomics and the Association for Molecular Pathology standards and guidelines. Results A BRCA1 pathogenic variant was found in 17.0% (137/805) of the patients, and BRCA1 VUS were found in 15.9% (128/805) of the patients. Further, 8.7% (69/805) of the patients possessed a BRCA2 pathogenic variant and 18.4% (148/805) of the patients possessed BRCA2 VUS. Fifty-three specific BRCA1 VUS were found and 20 were further reclassified as benign (n=11), likely benign (n=5), likely pathogenic (n=3), and pathogenic (n=1). The remaining 33 remained classified as VUS. For BRCA2, 55 specific VUS were detected; among these, 14 were reclassified as benign or likely benign, and 2 were reclassified as likely pathogenic. Among the 805 patients, 195 were found to have only VUS and no pathogenic variants (PV), and 41.5% (81/195) were reclassified as benign or likely benign, and 10.3% (20/195) as pathogenic or likely pathogenic variants. Conclusions Approximately 33.3% (36/108) of the specific BRCA1/2 variants analyzed in this study that were initially classified as VUS over a 13-year period were reclassified. Among these, 5.6% (6/108) were reclassified as pathogenic or likely pathogenic variants.
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Affiliation(s)
- Hyeong In Ha
- Center for Gynecologic Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Jin Sun Ryu
- Division of Translational Science, Research Institute, National Cancer Center, Goyang, Korea
| | - Hyoeun Shim
- Department of Laboratory Medicine, Center for Diagnostic Oncology, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Sun Young Kong
- Division of Translational Science, Research Institute, National Cancer Center, Goyang, Korea.,Department of Laboratory Medicine, Center for Diagnostic Oncology, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Myong Cheol Lim
- Center for Gynecologic Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea.,Division of Tumor Immunology, Research Institute, National Cancer Center, Goyang, Korea.,Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea.
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6
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Poon KS. In silico analysis of BRCA1 and BRCA2 missense variants and the relevance in molecular genetic testing. Sci Rep 2021; 11:11114. [PMID: 34045478 PMCID: PMC8160182 DOI: 10.1038/s41598-021-88586-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 04/13/2021] [Indexed: 01/12/2023] Open
Abstract
Over the years since the genetic testing of BRCA1 and BRCA2 has been conducted for research and later introduced into clinical practice, a high number of missense variants have been reported in the literature and deposited in public databases. Polymorphism Phenotyping v2 (PolyPhen-2) and Sorting Intolerant from Tolerant (SIFT) are two widely applied bioinformatics tools used to assess the functional impacts of missense variants. A total of 2605 BRCA1 and 4763 BRCA2 variants from the ClinVar database were analysed with PolyPhen2 and SIFT. When SIFT was evaluated alongside PolyPhen-2 HumDiv and HumVar, it had shown top performance in terms of negative predictive value (NPV) (100%) and sensitivity (100%) for ClinVar classified benign and pathogenic BRCA1 variants. Both SIFT and PolyPhen-2 HumDiv achieved 100% NPV and 100% sensitivity in prediction of pathogenicity of the BRCA2 variants. Agreement was achieved in prediction outcomes from the three tested approaches in 55.04% and 68.97% of the variants of unknown significance (VUS) for BRCA1 and BRCA2, respectively. The performances of PolyPhen-2 and SIFT in predicting functional impacts varied across the two genes. Due to lack of high concordance in prediction outcomes among the two tested algorithms, their usefulness in classifying the pathogenicity of VUS identified through molecular testing of BRCA1 and BRCA2 is hence limited in the clinical setting.
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Affiliation(s)
- Kok-Siong Poon
- Department of Laboratory Medicine, National University Hospital, NUH Main Building, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.
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7
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Nguyen-Dumont T, Stewart J, Winship I, Southey MC. Rare genetic variants: making the connection with breast cancer susceptibility. AIMS GENETICS 2021. [DOI: 10.3934/genet.2015.4.281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
AbstractThe practice of clinical genetics in the context of breast cancer predisposition has reached another critical point in its evolution. For the past two decades, genetic testing offered to women attending clinics has been limited to BRCA1 and BRCA2 unless other syndromic indicators have been evident (e.g. PTEN and TP53 for Cowden and Li-Fraumeni syndrome, respectively). Women (and their families) who are concerned about their personal and/or family history of breast and ovarian cancer have enthusiastically engaged with clinical genetics services, anticipating a genetic cause for their cancer predisposition will be identified and to receive clinical guidance for their risk management and treatment options. Genetic testing laboratories have demonstrated similar enthusiasm for transitioning from single gene to gene panel testing that now provide opportunities for the large number of women found not to carry mutations in BRCA1 and BRCA2, enabling them to undergo additional genetic testing. However, these panel tests have limited clinical utility until more is understood about the cancer risks (if any) associated with the genetic variation observed in the genes included on these panels. New data is urgently needed to improve the interpretation of the genetic variation data that is already reported from these panels and to inform the selection of genes included in gene panel tests in the future. To address this issue, large internationally coordinated research studies are required to provide the evidence-base from which clinical genetics for breast cancer susceptibility can be practiced in the era of gene panel testing and oncogenetic practice.Two significant steps associated with this process include i) validating the genes on these panels (and those likely to be added in the future) as bona fide1
breast cancer predisposition genes and ii) interpreting the variation, on a variant-by-variant basis in terms of their likely “pathogenicity”—a process commonly referred to as “variant classification” that will enable this new genetic information to be used at an individual level in clinical genetics services. Neither of these fundamental steps have been achieved for the majority of genes included on the panels.We are thus at a critical point for translational research in breast cancer clinical genetics—how can rare genetic variants be interpreted such that they can be used in clinical genetics services and oncogenetic practice to identify and to inform the management of families that carry these variants?
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Affiliation(s)
- Tú Nguyen-Dumont
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Victoria, 3010, Australia and The Royal Melbourne Hospital, Parkville, Victoria, 3050, Australia
| | - Jenna Stewart
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Victoria, 3010, Australia and The Royal Melbourne Hospital, Parkville, Victoria, 3050, Australia
| | - Ingrid Winship
- Department of Medicine, The University of Melbourne, Victoria, 3010, Australia and The Royal Melbourne Hospital, Parkville, Victoria, 3050, Australia
| | - Melissa C. Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Victoria, 3010, Australia and The Royal Melbourne Hospital, Parkville, Victoria, 3050, Australia
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Rare Germline Pathogenic Variants Identified by Multigene Panel Testing and the Risk of Aggressive Prostate Cancer. Cancers (Basel) 2021; 13:cancers13071495. [PMID: 33804961 PMCID: PMC8036662 DOI: 10.3390/cancers13071495] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 03/16/2021] [Accepted: 03/19/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Identifying which men at the time of prostate cancer diagnosis have, or will progress to, an aggressive fatal disease will allow clinicians to assist men in making better informed treatment decisions. This will not only be important for those men whose disease is likely to remain indolent and who are currently undergoing unnecessary treatment procedures, but also for those who may need to be targeted with immediate and potentially life-saving therapy. Our case-control study confirms that men who carry BRCA1, BRCA2 and ATM germline pathogenic variants are at increased risk of aggressive disease and provides risk estimates that will be used by clinicians to improve counselling. Abstract While gene panel sequencing is becoming widely used for cancer risk prediction, its clinical utility with respect to predicting aggressive prostate cancer (PrCa) is limited by our current understanding of the genetic risk factors associated with predisposition to this potentially lethal disease phenotype. This study included 837 men diagnosed with aggressive PrCa and 7261 controls (unaffected men and men who did not meet criteria for aggressive PrCa). Rare germline pathogenic variants (including likely pathogenic variants) were identified by targeted sequencing of 26 known or putative cancer predisposition genes. We found that 85 (10%) men with aggressive PrCa and 265 (4%) controls carried a pathogenic variant (p < 0.0001). Aggressive PrCa odds ratios (ORs) were estimated using unconditional logistic regression. Increased risk of aggressive PrCa (OR (95% confidence interval)) was identified for pathogenic variants in BRCA2 (5.8 (2.7–12.4)), BRCA1 (5.5 (1.8–16.6)), and ATM (3.8 (1.6–9.1)). Our study provides further evidence that rare germline pathogenic variants in these genes are associated with increased risk of this aggressive, clinically relevant subset of PrCa. These rare genetic variants could be incorporated into risk prediction models to improve their precision to identify men at highest risk of aggressive prostate cancer and be used to identify men with newly diagnosed prostate cancer who require urgent treatment.
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Genetic testing in Poland and Ukraine: should comprehensive germline testing of BRCA1 and BRCA2 be recommended for women with breast and ovarian cancer? Genet Res (Camb) 2020; 102:e6. [PMID: 32772980 PMCID: PMC7443769 DOI: 10.1017/s0016672320000075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Purpose To characterize the spectrum of BRCA1 and BRCA2 pathogenic germline variants in women from south-west Poland and west Ukraine affected with breast or ovarian cancer. Testing in women at high risk of breast and ovarian cancer in these regions is currently mainly limited to founder mutations. Methods Unrelated women affected with breast and/or ovarian cancer from Poland (n = 337) and Ukraine (n = 123) were screened by targeted sequencing. Excluded from targeted sequencing were 34 Polish women who had previously been identified as carrying a founder mutation in BRCA1. No prior testing had been conducted among the Ukrainian women. Thus, this study screened BRCA1 and BRCA2 in the germline DNA of 426 women in total. Results We identified 31 and 18 women as carriers of pathogenic/likely pathogenic (P/LP) genetic variants in BRCA1 and BRCA2, respectively. We observed five BRCA1 and eight BRCA2 P/LP variants (13/337, 3.9%) in the Polish women. Combined with the 34/337 (10.1%) founder variants identified prior to this study, the overall P/LP variant frequency in the Polish women was thus 14% (47/337). Among the Ukrainian women, 16/123 (13%) women were identified as carrying a founder mutation and 20/123 (16.3%) were found to carry non-founder P/LP variants (10 in BRCA1 and 10 in BRCA2). Conclusions These results indicate that genetic testing in women at high risk of breast and ovarian cancer in Poland and Ukraine should not be limited to founder mutations. Extended testing will enhance risk stratification and management for these women and their families.
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Terashima T, Umemoto K, Takahashi H, Hosoi H, Takai E, Kondo S, Sakamoto Y, Mitsunaga S, Ohno I, Hashimoto Y, Sasaki M, Ikeda M, Shimada K, Kaneko S, Yachida S, Sugano K, Okusaka T, Morizane C. Germline mutations in cancer-predisposition genes in patients with biliary tract cancer. Oncotarget 2019; 10:5949-5957. [PMID: 31666926 PMCID: PMC6800267 DOI: 10.18632/oncotarget.27224] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 09/10/2019] [Indexed: 01/07/2023] Open
Abstract
The prevalence of germline mutations in patients with biliary tract carcinoma (BTC) remains unclear. Here, we investigated the prevalence and types of germline mutations in patients with BTC. We reviewed 269 patients with pathologically proven BTC and collected clinical characteristics, including medical and family histories. Additionally, we evaluated germline variants in 21 genes associated with hereditary predisposition for cancer by targeted sequencing in patients meeting ≥1 of the following criteria: 1) hereditary breast and/or ovarian cancer (HBOC) testing criteria modified for BTC, 2) Revised Bethesda Guidelines (RBGs) modified for BTC (modified RBG), 3) familial BTC criteria, or 4) young BTC criteria. Among the 269 patients, 80 met at least one criterion. Three pathogenic mutations in three patients were identified: two in BRCA2 and one in BRCA1. Among the 16 patients meeting modified HBOC testing criteria, 2 harbored germline BRCA2 mutations, and 1 harbored a germline BRCA1 mutation. However, no mutation in mismatch-repair genes were detected, despite 63 patients meeting modified RBG screening criteria and 18 qualifying as young BTC patients. We detected high prevalence of pathogenic germline mutations in BRCA1/2 and none in mismatch-repair genes in BTC patients following enrichment according to family or medical history in this study.
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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
| | - Kumiko Umemoto
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Hideaki Takahashi
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Hiroko Hosoi
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Erina Takai
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Shunsuke Kondo
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Yasunari Sakamoto
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Shuichi Mitsunaga
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Izumi Ohno
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Yusuke Hashimoto
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Mitsuhito Sasaki
- 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
| | - Kazuaki Shimada
- Hepatobiliary and Pancreatic Surgery Division, National Cancer Center Hospital, Tokyo, Japan
| | - Shuichi Kaneko
- Department of Gastroenterology, Kanazawa University Hospital, Kanazawa, Japan
| | - Shinichi Yachida
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Kokichi Sugano
- Oncogene Research Unit/Cancer Prevention Unit, Tochigi Cancer Center Research Institute, Tochigi, Japan.,Department of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan
| | - Takuji Okusaka
- 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
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11
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Abstract
Hereditary breast and ovarian cancer is an inherited syndrome associated with BRCA1/2 germline defects. The identified mutations are classified as missense, large deletion, insertion, nonsense and splice-site variants with a deleterious impact on BRCA1/2 function. Part of these forms the well-documented truncating mutations, and missense variants represent a clinical dilemma as the pathogenic role is yet to be clearly shown. In this systematic review, we collected these missense variations with a documented deleterious function. We focused on English language articles from MEDLINE. This study included all BRCA1/2 germline missense mutations identified in breast and ovarian cancer patients. The method of this study followed the 'PRISMA statement for reporting systematic reviews and meta-analyses'. A total of 61 BRCA1/2 germline and pathogenic missense mutations were identified: 70.5% affected BRCA1 and 29.5% BRCA2, respectively. In BRCA1, the majority of mutations were located in the BRCA C-terminus (48.8%), leading to a disruption of function. Conversely, no specific associations were verified between mutations and the BRCA2 gene. The European population was the most affected by BRCA1 and the Asian population by BRCA2 mutant patterns. The identification of novel BRCA1/2 missense mutations requires specific genetic tests to assess pathogenicity. With this systematic review, we are, to the best of our knowledge, the first to collect the overall amount of data on these pathogenic mutants with the aim of improving the management of carriers and their kindred.
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12
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Cline MS, Liao RG, Parsons MT, Paten B, Alquaddoomi F, Antoniou A, Baxter S, Brody L, Cook-Deegan R, Coffin A, Couch FJ, Craft B, Currie R, Dlott CC, Dolman L, den Dunnen JT, Dyke SOM, Domchek SM, Easton D, Fischmann Z, Foulkes WD, Garber J, Goldgar D, Goldman MJ, Goodhand P, Harrison S, Haussler D, Kato K, Knoppers B, Markello C, Nussbaum R, Offit K, Plon SE, Rashbass J, Rehm HL, Robson M, Rubinstein WS, Stoppa-Lyonnet D, Tavtigian S, Thorogood A, Zhang C, Zimmermann M, Burn J, Chanock S, Rätsch G, Spurdle AB. BRCA Challenge: BRCA Exchange as a global resource for variants in BRCA1 and BRCA2. PLoS Genet 2018; 14:e1007752. [PMID: 30586411 PMCID: PMC6324924 DOI: 10.1371/journal.pgen.1007752] [Citation(s) in RCA: 132] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 01/08/2019] [Indexed: 12/20/2022] Open
Abstract
The BRCA Challenge is a long-term data-sharing project initiated within the Global Alliance for Genomics and Health (GA4GH) to aggregate BRCA1 and BRCA2 data to support highly collaborative research activities. Its goal is to generate an informed and current understanding of the impact of genetic variation on cancer risk across the iconic cancer predisposition genes, BRCA1 and BRCA2. Initially, reported variants in BRCA1 and BRCA2 available from public databases were integrated into a single, newly created site, www.brcaexchange.org. The purpose of the BRCA Exchange is to provide the community with a reliable and easily accessible record of variants interpreted for a high-penetrance phenotype. More than 20,000 variants have been aggregated, three times the number found in the next-largest public database at the project’s outset, of which approximately 7,250 have expert classifications. The data set is based on shared information from existing clinical databases—Breast Cancer Information Core (BIC), ClinVar, and the Leiden Open Variation Database (LOVD)—as well as population databases, all linked to a single point of access. The BRCA Challenge has brought together the existing international Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium expert panel, along with expert clinicians, diagnosticians, researchers, and database providers, all with a common goal of advancing our understanding of BRCA1 and BRCA2 variation. Ongoing work includes direct contact with national centers with access to BRCA1 and BRCA2 diagnostic data to encourage data sharing, development of methods suitable for extraction of genetic variation at the level of individual laboratory reports, and engagement with participant communities to enable a more comprehensive understanding of the clinical significance of genetic variation in BRCA1 and BRCA2. The goal of this study and paper has been to develop an international resource to generate an informed and current understanding of the impact of genetic variation on cancer risk across the cancer predisposition genes, BRCA1 and BRCA2. Reported variants in BRCA1 and BRCA2 available from public databases were integrated into a single, newly created site, www.brcaexchange.org, to provide a reliable and easily accessible record of variants interpreted for a high-penetrance phenotype.
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Affiliation(s)
- Melissa S. Cline
- University of California Santa Cruz Genomics Institute, University of California, Santa Cruz, California, United States of America
| | - Rachel G. Liao
- Broad Institute, Cambridge, Massachusetts, United States of America
| | - Michael T. Parsons
- Genetics and Computational Biology Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Benedict Paten
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America
| | - Faisal Alquaddoomi
- Department of Computer Science, Biomedical Informatics Group Universitätsstrasse, Zürich, Switzerland
- Biomedical Informatics, University Hospital Zurich, Zurich, Switzerland
- Biocybernetics Laboratory, Computer Science Department, University of California, Los Angeles, California, United States of America
| | - Antonis Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Samantha Baxter
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America
| | - Larry Brody
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Robert Cook-Deegan
- School for the Future of Innovation in Society, and Consortium for Science, Policy & Outcomes, Arizona State University, Tempe, Arizona, United States of America
| | - Amy Coffin
- University of California Santa Cruz Genomics Institute, University of California, Santa Cruz, California, United States of America
| | - Fergus J. Couch
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Brian Craft
- University of California Santa Cruz Genomics Institute, University of California, Santa Cruz, California, United States of America
| | - Robert Currie
- University of California Santa Cruz Genomics Institute, University of California, Santa Cruz, California, United States of America
| | - Chloe C. Dlott
- University of California Santa Cruz Genomics Institute, University of California, Santa Cruz, California, United States of America
| | - Lena Dolman
- The Global Alliance for Genomics and Health, Toronto, Ontario, Canada
| | - Johan T. den Dunnen
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Stephanie O. M. Dyke
- Centre of Genomics and Policy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Susan M. Domchek
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Douglas Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Zachary Fischmann
- University of California Santa Cruz Genomics Institute, University of California, Santa Cruz, California, United States of America
| | - William D. Foulkes
- Program in Cancer Genetics, Department of Oncology and Human Genetics, McGill University, Montréal, Quebec, Canada
| | - Judy Garber
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, United States of America
| | - David Goldgar
- Huntsman Cancer Institute and Department of Dermatology, University of Utah, Salt Lake City, Utah, United States of America
| | - Mary J. Goldman
- University of California Santa Cruz Genomics Institute, University of California, Santa Cruz, California, United States of America
| | - Peter Goodhand
- The Global Alliance for Genomics and Health, Toronto, Ontario, Canada
| | - Steven Harrison
- Partners HealthCare Laboratory for Molecular Medicine and Harvard Medical School, Boston, Massachusetts, United States of America
| | - David Haussler
- University of California Santa Cruz Genomics Institute, University of California, Santa Cruz, California, United States of America
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America
| | - Kazuto Kato
- Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Bartha Knoppers
- Centre of Genomics and Policy, Faculty of Medicine, Human Genetics, McGill University, Montreal, Québec, Canada
| | - Charles Markello
- University of California Santa Cruz Genomics Institute, University of California, Santa Cruz, California, United States of America
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America
- Center for Biomolecular Science & Engineering, University of California, Santa Cruz, California, United States of America
| | - Robert Nussbaum
- Invitae, San Francisco, California, United States of America
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
| | - Sharon E. Plon
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, United States of America
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Jem Rashbass
- National Disease Registration, National Cancer Registration and Analysis Service, Public Health England, London, United Kingdom
| | - Heidi L. Rehm
- Laboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge, Massachusetts, United States of America
- Department of Pathology, Brigham & Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Mark Robson
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
| | - Wendy S. Rubinstein
- CancerLinQ at American Society of Clinical Oncology (ASCO), Alexandria, Virginia, United States of America
| | | | - Sean Tavtigian
- Partners HealthCare Laboratory for Molecular Medicine and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Oncological Sciences, The University of Utah, Salt Lake City, Utah, United States of America
| | - Adrian Thorogood
- The Global Alliance for Genomics and Health, Toronto, Ontario, Canada
- Centre of Genomics and Policy, McGill University, Montreal, Canada
| | - Can Zhang
- Department of Computer Science, University of California, Santa Cruz, Santa Cruz, California, United States of America
| | - Marc Zimmermann
- Department of Computer Science, Biomedical Informatics Group Universitätsstrasse, Zürich, Switzerland
- Biomedical Informatics, University Hospital Zurich, Zurich, Switzerland
| | | | - John Burn
- Institute of Genetic Medicine, Newcastle University, Centre for Life, Newcastle upon Tyne, United Kingdom
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Gunnar Rätsch
- Department of Computer Science, Biomedical Informatics Group Universitätsstrasse, Zürich, Switzerland
- Biomedical Informatics, University Hospital Zurich, Zurich, Switzerland
- Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
- Swiss Institute for Bioinformatics, Lausanne, Switzerland
- * E-mail: (GR); (ABS)
| | - Amanda B. Spurdle
- Genetics and Computational Biology Division, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
- * E-mail: (GR); (ABS)
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13
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A functional assay-based procedure to classify mismatch repair gene variants in Lynch syndrome. Genet Med 2018; 21:1486-1496. [PMID: 30504929 DOI: 10.1038/s41436-018-0372-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 11/07/2018] [Indexed: 01/07/2023] Open
Abstract
PURPOSE To enhance classification of variants of uncertain significance (VUS) in the DNA mismatch repair (MMR) genes in the cancer predisposition Lynch syndrome, we developed the cell-free in vitro MMR activity (CIMRA) assay. Here, we calibrate and validate the assay, enabling its integration with in silico and clinical data. METHODS Two sets of previously classified MLH1 and MSH2 variants were selected from a curated MMR gene database, and their biochemical activity determined by the CIMRA assay. The assay was calibrated by regression analysis followed by symmetric cross-validation and Bayesian integration with in silico predictions of pathogenicity. CIMRA assay reproducibility was assessed in four laboratories. RESULTS Concordance between the training runs met our prespecified validation criterion. The CIMRA assay alone correctly classified 65% of variants, with only 3% discordant classification. Bayesian integration with in silico predictions of pathogenicity increased the proportion of correctly classified variants to 87%, without changing the discordance rate. Interlaboratory results were highly reproducible. CONCLUSION The CIMRA assay accurately predicts pathogenic and benign MMR gene variants. Quantitative combination of assay results with in silico analysis correctly classified the majority of variants. Using this calibration, CIMRA assay results can be integrated into the diagnostic algorithm for MMR gene variants.
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14
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BRCA mutations: is everything said? Breast Cancer Res Treat 2018; 173:49-54. [DOI: 10.1007/s10549-018-4986-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 09/28/2018] [Indexed: 12/14/2022]
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15
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Ohmoto A, Morizane C, Kubo E, Takai E, Hosoi H, Sakamoto Y, Kondo S, Ueno H, Shimada K, Yachida S, Okusaka T. Germline variants in pancreatic cancer patients with a personal or family history of cancer fulfilling the revised Bethesda guidelines. J Gastroenterol 2018; 53:1159-1167. [PMID: 29667044 DOI: 10.1007/s00535-018-1466-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 04/09/2018] [Indexed: 02/04/2023]
Abstract
BACKGROUND Pancreatic cancer (PC) is categorized as a neoplasm associated with Lynch syndrome; however, the precise proportion of PC patients harboring DNA mismatch repair genes (MMR genes) remains unclear, especially in the Asian population. METHODS Among 304 Japanese patients with pathologically proven pancreatic ductal adenocarcinoma, we selected 20 (6.6%) patients with a personal or family history involving first- or second-degree relatives fulfilling the revised Bethesda guidelines (RBG), defined as RBG-compatible cases. We analyzed germline variants in 21 genes related to a hereditary predisposition for cancer as well as clinical features in all 20 cases. RESULTS The RBG-compatible cases did not show any unique clinicopathological features. Targeted sequencing data revealed three patients carrying deleterious or likely deleterious variants. Specifically, these three patients harbored a nonsense variant in ATM, a frameshift variant in ATM, and a concurrent nonsense variant in PMS2 and missense variant in CHEK2 (double-mutation carrier), respectively. Although an MMR gene mutation was identified in only one of the 20 patients, up to 15% of the RBG-compatible PC cases were associated with germline deleterious or likely deleterious variants. CONCLUSIONS These findings showed that these guidelines could be useful for identifying PC patients with DNA damage repair genes as well as MMR genes.
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Affiliation(s)
- Akihiro Ohmoto
- Laboratory of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Chigusa Morizane
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 1040045, Japan.
| | - Emi Kubo
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 1040045, Japan
| | - Erina Takai
- Laboratory of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Hiroko Hosoi
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 1040045, Japan
| | - Yasunari Sakamoto
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 1040045, Japan
| | - Shunsuke Kondo
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 1040045, Japan
| | - Hideki Ueno
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 1040045, Japan
| | - Kazuaki Shimada
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Shinichi Yachida
- Laboratory of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan.,Department of Cancer Genome Informatics, Graduate School of Medicine/Faculty of Medicine, Osaka University, Osaka, Japan
| | - Takuji Okusaka
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 1040045, Japan
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16
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Maresca L, Lodovichi S, Lorenzoni A, Cervelli T, Monaco R, Spugnesi L, Tancredi M, Falaschi E, Zavaglia K, Landucci E, Roncella M, Congregati C, Gadducci A, Naccarato AG, Caligo MA, Galli A. Functional Interaction Between BRCA1 and DNA Repair in Yeast May Uncover a Role of RAD50, RAD51, MRE11A, and MSH6 Somatic Variants in Cancer Development. Front Genet 2018; 9:397. [PMID: 30283497 PMCID: PMC6156519 DOI: 10.3389/fgene.2018.00397] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 08/31/2018] [Indexed: 01/07/2023] Open
Abstract
In this study, we determined if BRCA1 partners involved in DNA double-strand break (DSB) and mismatch repair (MMR) may contribute to breast and ovarian cancer development. Taking advantage the functional conservation of DNA repair pathways between yeast and human, we expressed several BRCA1 missense variants in DNA repair yeast mutants to identify functional interaction between BRCA1 and DNA repair in BRCA1-induced genome instability. The pathogenic p.C61G, pA1708E, p.M775R, and p.I1766S, and the neutral pS1512I BRCA1 variants increased intra-chromosomal recombination in the DNA-repair proficient strain RSY6. In the mre11, rad50, rad51, and msh6 deletion strains, the BRCA1 variants p.C61G, pA1708E, p.M775R, p.I1766S, and pS1215I did not increase intra-chromosomal recombination suggesting that a functional DNA repair pathway is necessary for BRCA1 variants to determine genome instability. The pathogenic p.C61G and p.I1766S and the neutral p.N132K, p.Y179C, and p.N550H variants induced a significant increase of reversion in the msh2Δ strain; the neutral p.Y179C and the pathogenic p.I1766S variant induced gene reversion also, in the msh6Δ strain. These results imply a functional interaction between MMR and BRCA1 in modulating genome instability. We also performed a somatic mutational screening of MSH6, RAD50, MRE11A, and RAD51 genes in tumor samples from 34 patients and identified eight pathogenic or predicted pathogenic rare missense variants: four in MSH6, one in RAD50, one in MRE11A, and two in RAD51. Although we found no correlation between BRCA1 status and these somatic DNA repair variants, this study suggests that somatic missense variants in DNA repair genes may contribute to breast and ovarian tumor development.
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Affiliation(s)
- Luisa Maresca
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Samuele Lodovichi
- Yeast Genetics and Genomics, Institute of Clinical Physiology, CNR Pisa, Pisa, Italy.,PhD Program in Clinical and Translational Sciences, University of Pisa, Pisa, Italy
| | - Alessandra Lorenzoni
- Yeast Genetics and Genomics, Institute of Clinical Physiology, CNR Pisa, Pisa, Italy
| | - Tiziana Cervelli
- Yeast Genetics and Genomics, Institute of Clinical Physiology, CNR Pisa, Pisa, Italy
| | - Rossella Monaco
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Laura Spugnesi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Mariella Tancredi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Elisabetta Falaschi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Katia Zavaglia
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | | | | | - Caterina Congregati
- Department of Clinical and Experimental Medicine, Division of Internal Medicine, University Hospital of Pisa, Pisa, Italy
| | - Angiolo Gadducci
- Department of Clinical and Experimental Medicine, Division of Gynecology and Obstetrics, University Hospital of Pisa, Pisa, Italy
| | - Antonio Giuseppe Naccarato
- Department of Translational Research and New Technologies in Medicine and Surgery, University Hospital of Pisa, Pisa, Italy
| | - Maria Adelaide Caligo
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Alvaro Galli
- Yeast Genetics and Genomics, Institute of Clinical Physiology, CNR Pisa, Pisa, Italy
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17
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Vendrell JA, Vilquin P, Larrieux M, Van Goethem C, Solassol J. Benchmarking of Amplicon-Based Next-Generation Sequencing Panels Combined with Bioinformatics Solutions for Germline BRCA1 and BRCA2 Alteration Detection. J Mol Diagn 2018; 20:754-764. [PMID: 30055349 DOI: 10.1016/j.jmoldx.2018.06.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 04/27/2018] [Accepted: 06/05/2018] [Indexed: 11/16/2022] Open
Abstract
The recent deployment of next-generation sequencing approaches in routine laboratory analysis has considerably modified the landscape of BRCA1 and BRCA2 germline alteration detection in patients with a high risk of developing breast and/or ovarian cancer. Several commercial multiplex amplicon-based panels and bioinformatics solutions are currently available. In this study, we evaluated the combinations of several BRCA testing assays and bioinformatics solutions for the identification of single-nucleotide variants, insertion/deletion variants, and copy number variations (CNVs). Four assays (BRCA Tumor, BRCA HC, Ion AmpliSeq BRCA, and Access Array BRCA) and two commercial bioinformatics solutions (SeqNext software version 4.3.1 and Sophia DDM version 5.0.13) were tested on a set of 28 previously genotyped samples. All solutions exhibited accurate detection of single-nucleotide variants and insertion/deletion variants, except for Ion AmpliSeq BRCA, which exhibited a decrease in coverage. Of interest, for CNV analysis, the best accuracy was observed with the Sophia DDM platform regardless of the BRCA kit used. Finally, the performance of the most relevant combination (BRCA Tumor and Sophia DDM) was blindly validated on an independent set of 152 samples. Altogether, our results emphasize the need to accurately compare and control both molecular next-generation sequencing approaches and bioinformatics pipelines to limit the number of discrepant alterations and to provide a powerful tool for reliable detection of genetic alterations in BRCA1 and BRCA2, notably CNVs.
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Affiliation(s)
- Julie A Vendrell
- Solid Tumor Laboratory, Department of Pathology and Oncobiology, CHU Montpellier, University of Montpellier, Montpellier, France
| | - Paul Vilquin
- Solid Tumor Laboratory, Department of Pathology and Oncobiology, CHU Montpellier, University of Montpellier, Montpellier, France
| | - Marion Larrieux
- Solid Tumor Laboratory, Department of Pathology and Oncobiology, CHU Montpellier, University of Montpellier, Montpellier, France
| | - Charles Van Goethem
- Solid Tumor Laboratory, Department of Pathology and Oncobiology, CHU Montpellier, University of Montpellier, Montpellier, France
| | - Jérôme Solassol
- Solid Tumor Laboratory, Department of Pathology and Oncobiology, CHU Montpellier, University of Montpellier, Montpellier, France; The Institute of Cancer Research of Montpellier, INSERM U1194, University of Montpellier, Montpellier, France.
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18
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Takai E, Yachida S, Shimizu K, Furuse J, Kubo E, Ohmoto A, Suzuki M, Hruban RH, Okusaka T, Morizane C, Furukawa T. Germline mutations in Japanese familial pancreatic cancer patients. Oncotarget 2018; 7:74227-74235. [PMID: 27732944 PMCID: PMC5342048 DOI: 10.18632/oncotarget.12490] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2016] [Accepted: 09/29/2016] [Indexed: 02/07/2023] Open
Abstract
Clinicopathologic and genetic features of familial pancreatic cancer (FPC) in Asian countries remain largely unknown. The main purpose of this study was to determine the prevalence of FPC and to define causative FPC-predisposition genes in a Japanese cohort with pancreatic ductal adenocarcinoma (PDAC).We reviewed 1,197 patients with a pathologically proven PDAC and found that 88 (7.3%) were FPC patients who had at least one first-degree relative with PDAC. There were no significant differences between the FPC cases and sporadic cases in terms of gender, age, tumor location, stage, family history of any cancer except PDAC, and personal history of smoking, other cancers, diabetes mellitus and chronic pancreatitis. In the FPC patients, we then investigated the prevalence of germline mutations in 21 genes associated with hereditary predispositions for pancreatic, breast and ovarian cancers by means of the next-generation sequencing using a custom multiple-gene panel. We found that eight (14.5%) of the 54 FPC patients with available germline DNA carried deleterious mutations in BRCA2, PALB2, ATM, or MLH1. These results indicate that a significant fraction of patients with PDAC in Japan have a family history of pancreatic cancer, and some of them harbor deleterious causative mutations in known FPC predisposition genes.
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Affiliation(s)
- Erina Takai
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Shinichi Yachida
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Kyoko Shimizu
- Department of Gastroenterology, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo, Japan
| | - Junji Furuse
- Department of Medical Oncology, Kyorin University School of Medicine, Mitaka, Japan
| | - Emi Kubo
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Akihiro Ohmoto
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Masami Suzuki
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Ralph H Hruban
- Department of Pathology and Oncology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Takuji Okusaka
- 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
| | - Toru Furukawa
- Institute for Integrated Medical Sciences, Tokyo Women's Medical University, Tokyo, Japan
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19
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Abstract
Hereditary predisposition accounts for approximately 10% of all breast cancers and is mostly associated with germline mutations in high-penetrance genes encoding for proteins participating in DNA repair through homologous recombination (BRCA1 and BRCA2). With the advent of massive parallel next-generation DNA sequencing, simultaneous analysis of multiple genes with a short turnaround time and at a low cost has become possible. The clinical validity and utility of multi-gene panel testing is getting better characterized as more data on the significance of moderate-penetrance genes are collected from large, cancer genetic testing studies. In this chapter, we attempt to provide a general guide for interpretation of panel gene testing in breast cancer and use of the information obtained for clinical decision-making.
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Affiliation(s)
- Christos Fountzilas
- Cancer Therapy and Research Center, University of Texas Health Science Center San Antonio, 7979 Wurzbach Road, San Antonio, TX, 78229, USA
| | - Virginia G Kaklamani
- Cancer Therapy and Research Center, University of Texas Health Science Center San Antonio, 7979 Wurzbach Road, San Antonio, TX, 78229, USA.
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20
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Hermel DJ, McKinnon WC, Wood ME, Greenblatt MS. Multi-gene panel testing for hereditary cancer susceptibility in a rural Familial Cancer Program. Fam Cancer 2017; 16:159-166. [PMID: 27401692 DOI: 10.1007/s10689-016-9913-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
This study explores our Familial Cancer Program's experience implementing multi-gene panel testing in a largely rural patient population. We conducted a retrospective review of patients undergoing panel testing between May 2011 and August 2015. Our goal was to evaluate factors that might be predictors of identifying variants (pathogenic or uncertain significance) and to assess clinical management changes due to testing. We utilized a structured family history tool to determine the significance of patient's family histories with respect to identification of genetic variants. A total of 227 patients underwent panel testing at our center and 67 patients (29.5 %) had variants identified, with 8 (3.5 %) having multiple variants. Overall, 44 patients (19.4 %) had a variant of uncertain significance (VUS) and 28 patients (12.3 %) had a pathogenic variant detected, with 10 (4.4 %) having pathogenic variants in highly penetrant genes. We found no statistical difference in patient familial and personal cancer history, age, rural status, Ashkenazi Jewish ancestry, insurance coverage and prior single-gene testing among those with pathogenic, VUS and negative panel testing results. There were no predictors of pathogenic variants on regression analysis. Panel testing changed cancer screening and management guidelines from that expected based on family history alone in 13.2 % of patients. Ultimately, cancer panel testing does yield critical information not identified by traditional single gene testing but maximal utility through a broad range of personal and family histories requires improved interpretation of variants.
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Affiliation(s)
- David J Hermel
- Department of Medicine and University of Vermont Cancer Center, University of Vermont College of Medicine, 89 Beaumont Ave, Given E214, Burlington, VT, 05405, USA
| | - Wendy C McKinnon
- Department of Medicine and University of Vermont Cancer Center, University of Vermont College of Medicine, 89 Beaumont Ave, Given E214, Burlington, VT, 05405, USA
| | - Marie E Wood
- Department of Medicine and University of Vermont Cancer Center, University of Vermont College of Medicine, 89 Beaumont Ave, Given E214, Burlington, VT, 05405, USA
| | - Marc S Greenblatt
- Department of Medicine and University of Vermont Cancer Center, University of Vermont College of Medicine, 89 Beaumont Ave, Given E214, Burlington, VT, 05405, USA.
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Gradishar W, Johnson K, Brown K, Mundt E, Manley S. Clinical Variant Classification: A Comparison of Public Databases and a Commercial Testing Laboratory. Oncologist 2017; 22:797-803. [PMID: 28408614 PMCID: PMC5507641 DOI: 10.1634/theoncologist.2016-0431] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 01/05/2017] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND There is a growing move to consult public databases following receipt of a genetic test result from a clinical laboratory; however, the well-documented limitations of these databases call into question how often clinicians will encounter discordant variant classifications that may introduce uncertainty into patient management. Here, we evaluate discordance in BRCA1 and BRCA2 variant classifications between a single commercial testing laboratory and a public database commonly consulted in clinical practice. MATERIALS AND METHODS BRCA1 and BRCA2 variant classifications were obtained from ClinVar and compared with the classifications from a reference laboratory. Full concordance and discordance were determined for variants whose ClinVar entries were of the same pathogenicity (pathogenic, benign, or uncertain). Variants with conflicting ClinVar classifications were considered partially concordant if ≥1 of the listed classifications agreed with the reference laboratory classification. RESULTS Four thousand two hundred and fifty unique BRCA1 and BRCA2 variants were available for analysis. Overall, 73.2% of classifications were fully concordant and 12.3% were partially concordant. The remaining 14.5% of variants had discordant classifications, most of which had a definitive classification (pathogenic or benign) from the reference laboratory compared with an uncertain classification in ClinVar (14.0%). CONCLUSION Here, we show that discrepant classifications between a public database and single reference laboratory potentially account for 26.7% of variants in BRCA1 and BRCA2. The time and expertise required of clinicians to research these discordant classifications call into question the practicality of checking all test results against a database and suggest that discordant classifications should be interpreted with these limitations in mind. IMPLICATIONS FOR PRACTICE With the increasing use of clinical genetic testing for hereditary cancer risk, accurate variant classification is vital to ensuring appropriate medical management. There is a growing move to consult public databases following receipt of a genetic test result from a clinical laboratory; however, we show that up to 26.7% of variants in BRCA1 and BRCA2 have discordant classifications between ClinVar and a reference laboratory. The findings presented in this paper serve as a note of caution regarding the utility of database consultation.
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Affiliation(s)
- William Gradishar
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Myriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA
| | - KariAnne Johnson
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Myriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA
| | - Krystal Brown
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Myriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA
| | - Erin Mundt
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Myriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA
| | - Susan Manley
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Myriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA
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22
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Shimelis H, Mesman RLS, Von Nicolai C, Ehlen A, Guidugli L, Martin C, Calléja FMGR, Meeks H, Hallberg E, Hinton J, Lilyquist J, Hu C, Aalfs CM, Aittomäki K, Andrulis I, Anton-Culver H, Arndt V, Beckmann MW, Benitez J, Bogdanova NV, Bojesen SE, Bolla MK, Borresen-Dale AL, Brauch H, Brennan P, Brenner H, Broeks A, Brouwers B, Brüning T, Burwinkel B, Chang-Claude J, Chenevix-Trench G, Cheng CY, Choi JY, Collée JM, Cox A, Cross SS, Czene K, Darabi H, Dennis J, Dörk T, Dos-Santos-Silva I, Dunning AM, Fasching PA, Figueroa J, Flyger H, García-Closas M, Giles GG, Glendon G, Guénel P, Haiman CA, Hall P, Hamann U, Hartman M, Hogervorst FB, Hollestelle A, Hopper JL, Ito H, Jakubowska A, Kang D, Kosma VM, Kristensen V, Lai KN, Lambrechts D, Marchand LL, Li J, Lindblom A, Lophatananon A, Lubinski J, Machackova E, Mannermaa A, Margolin S, Marme F, Matsuo K, Miao H, Michailidou K, Milne RL, Muir K, Neuhausen SL, Nevanlinna H, Olson JE, Olswold C, Oosterwijk JJC, Osorio A, Peterlongo P, Peto J, Pharoah PDP, Pylkäs K, Radice P, Rashid MU, Rhenius V, Rudolph A, Sangrajrang S, Sawyer EJ, Schmidt MK, Schoemaker MJ, Seynaeve C, Shah M, Shen CY, Shrubsole M, Shu XO, Slager S, Southey MC, Stram DO, Swerdlow A, Teo SH, Tomlinson I, Torres D, Truong T, van Asperen CJ, van der Kolk LE, Wang Q, Winqvist R, Wu AH, Yu JC, Zheng W, Zheng Y, Leary J, Walker L, Foretova L, Fostira F, Claes KBM, Varesco L, Moghadasi S, Easton DF, Spurdle A, Devilee P, Vrieling H, Monteiro ANA, Goldgar DE, Carreira A, Vreeswijk MPG, Couch FJ. BRCA2 Hypomorphic Missense Variants Confer Moderate Risks of Breast Cancer. Cancer Res 2017; 77:2789-2799. [PMID: 28283652 PMCID: PMC5508554 DOI: 10.1158/0008-5472.can-16-2568] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 11/14/2016] [Accepted: 03/03/2017] [Indexed: 12/20/2022]
Abstract
Breast cancer risks conferred by many germline missense variants in the BRCA1 and BRCA2 genes, often referred to as variants of uncertain significance (VUS), have not been established. In this study, associations between 19 BRCA1 and 33 BRCA2 missense substitution variants and breast cancer risk were investigated through a breast cancer case-control study using genotyping data from 38 studies of predominantly European ancestry (41,890 cases and 41,607 controls) and nine studies of Asian ancestry (6,269 cases and 6,624 controls). The BRCA2 c.9104A>C, p.Tyr3035Ser (OR = 2.52; P = 0.04), and BRCA1 c.5096G>A, p.Arg1699Gln (OR = 4.29; P = 0.009) variant were associated with moderately increased risks of breast cancer among Europeans, whereas BRCA2 c.7522G>A, p.Gly2508Ser (OR = 2.68; P = 0.004), and c.8187G>T, p.Lys2729Asn (OR = 1.4; P = 0.004) were associated with moderate and low risks of breast cancer among Asians. Functional characterization of the BRCA2 variants using four quantitative assays showed reduced BRCA2 activity for p.Tyr3035Ser compared with wild-type. Overall, our results show how BRCA2 missense variants that influence protein function can confer clinically relevant, moderately increased risks of breast cancer, with potential implications for risk management guidelines in women with these specific variants. Cancer Res; 77(11); 2789-99. ©2017 AACR.
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Affiliation(s)
- Hermela Shimelis
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Romy L S Mesman
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Asa Ehlen
- Genotoxic Stress and Cancer, Institut Curie, Orsay, France
| | - Lucia Guidugli
- Department of Human Genetics, University of Chicago, Chicago, Illinois
| | | | | | - Huong Meeks
- Cancer Control and Population Sciences, University of Utah, Salt Lake City, Utah
| | - Emily Hallberg
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Jamie Hinton
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Jenna Lilyquist
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Chunling Hu
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Cora M Aalfs
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Irene Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California Irvine, Irvine, California
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias W Beckmann
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Javier Benitez
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - Natalia V Bogdanova
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlevand Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Anne-Lise Borresen-Dale
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
- K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Annegien Broeks
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Barbara Brouwers
- Laboratory of Experimental Oncology, Department of Oncology, University Hospitals Leuven, Leuven, Belgium
- Department of General Medical Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum, Bochum, Germany
| | - Barbara Burwinkel
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Ching-Yu Cheng
- Singapore Eye Research Institute, National University of Singapore, Singapore, Singapore
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - J Margriet Collée
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Angela Cox
- Sheffield Cancer Research, Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, United Kingdom
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hatef Darabi
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Joe Dennis
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Isabel Dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Alison M Dunning
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Peter A Fasching
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
- Department of Medicine, Division of Hematology and Oncology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California
| | - Jonine Figueroa
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh, United Kingdom
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | | | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Canada
| | - Pascal Guénel
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Surgery, National University Health System, Singapore, Singapore
| | - Frans B Hogervorst
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Hidemi Ito
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Daehee Kang
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Veli-Matti Kosma
- Cancer Center of Eastern Finland, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | | | - Kah-Nyin Lai
- Cancer Research Initiatives Foundation, Subang Jaya, Selangor, Malaysia
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Diether Lambrechts
- Vesalius Research Center, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | | | - Jingmei Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Artitaya Lophatananon
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, United Kingdom
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Eva Machackova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Arto Mannermaa
- Cancer Center of Eastern Finland, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Sara Margolin
- Department of Oncology - Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Frederik Marme
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany
| | - Keitaro Matsuo
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hui Miao
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Kyriaki Michailidou
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Roger L Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Kenneth Muir
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, United Kingdom
- Institute of Population Health, University of Manchester, Manchester, United Kingdom
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Curtis Olswold
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Jan J C Oosterwijk
- Department of Genetics, University of Groningen, Groningen, the Netherlands
| | - Ana Osorio
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - Paolo Peterlongo
- IFOM, The FIRC (Italian Foundation for Cancer Research) Institute of Molecular Oncology, Milan, Italy
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto Di Ricovero e Cura a Carattere Scientifico) Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Muhammad Usman Rashid
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Basic Sciences, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan
| | - Valerie Rhenius
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Elinor J Sawyer
- Research Oncology, Guy's Hospital, King's College London, London, United Kingdom
| | - Marjanka K Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | - Caroline Seynaeve
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Mitul Shah
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Chen-Yang Shen
- School of Public Health, China Medical University, Taichung, Taiwan
- Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Martha Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Susan Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Melissa C Southey
- Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | - Soo H Teo
- Cancer Research Initiatives Foundation, Subang Jaya, Selangor, Malaysia
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Thérèse Truong
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Christi J van Asperen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Lizet E van der Kolk
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Qin Wang
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jyh-Cherng Yu
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Ying Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jennifer Leary
- Westmead Millenium Institute for Medical Research, University of Sydney, Sydney, Australia
| | - Logan Walker
- Department of Pathology, University of Otago, Christchurch, New Zealand
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, Institute of Radioisotopes and Radiodiagnostic Products (IRRP), Athens, Greece
| | | | - Liliana Varesco
- Unit of Hereditary Cancers, IRCCS AOU San Martino, Genova, Italy
| | - Setareh Moghadasi
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Douglas F Easton
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Amanda Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Peter Devilee
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Harry Vrieling
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Alvaro N A Monteiro
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
- Department of Oncologic Science, University of South Florida, Tampa, Florida
| | - David E Goldgar
- Huntsman Cancer Institute and Department of Dermatology, University of Utah, Salt Lake City, Utah
| | - Aura Carreira
- Genotoxic Stress and Cancer, Institut Curie, Orsay, France
| | - Maaike P G Vreeswijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
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23
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Ryu JM, Kang G, Nam SJ, Kim SW, Yu J, Lee SK, Bae SY, Park S, Paik HJ, Kim JW, Park SS, Lee JE, Kim SW. Suggestion of BRCA1 c.5339T>C (p.L1780P) variant confer from 'unknown significance' to 'Likely pathogenic' based on clinical evidence in Korea. Breast 2017; 33:109-116. [PMID: 28364669 DOI: 10.1016/j.breast.2017.03.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2017] [Revised: 03/15/2017] [Accepted: 03/15/2017] [Indexed: 11/30/2022] Open
Abstract
PURPOSE We describe a rationale for the re-classification of the BRCA1 c.5539T>C (L1780P) variant using a clinical evidence. METHODS A retrospective review was conducted to identify all patients with breast or ovarian cancer and the L1780P variant between 2002 and 2015 at a single institution. RESULTS We identified the BRCA1/2 genetic mutation test results of 1223 breast cancer patients and 174 patients with ovarian cancer. Of the 160 BRCA 1/2 variant unknown significance, 16 (10.0%) patients were identified as having the L1780P variant. Among them, 10 had breast cancer, 4 had ovarian cancer, and 2 had both breast and ovarian cancer. Thirteen (81.3%) patients with this variant had family histories of breast or ovarian cancer. Two (16.7%) also had comorbid ovarian cancer. Two patients with this variant showed that co-segregation of the disease in multiple family members and family histories of breast and ovarian cancer. This variant was found to be either absent or at extremely low frequency in general population databases. CONCLUSION The L1780P variant might confer to "Likely pathogenic" according to a clinical evidence and the ACMG standards and guidelines. A nation-wide or global survey and a functional analysis are needed to confirm the pathogenicity of the L1780P variant.
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Affiliation(s)
- Jai Min Ryu
- Division of Breast and Endocrine Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Goeun Kang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seok Jin Nam
- Division of Breast and Endocrine Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seok Won Kim
- Division of Breast and Endocrine Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jonghan Yu
- Division of Breast and Endocrine Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Se Kyung Lee
- Division of Breast and Endocrine Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Soo Youn Bae
- Division of Breast and Endocrine Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sungmin Park
- Division of Breast and Endocrine Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyun-June Paik
- Division of Breast and Endocrine Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jong-Won Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sung-Shin Park
- Department of Pathology, Daerim St. Mary's Hospital, South Korea
| | - Jeong Eon Lee
- Division of Breast and Endocrine Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
| | - Sung-Won Kim
- Department of Surgery, Breast Care Center, Daerim St. Mary's Hospital, South Korea.
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Badoer C, Garrec C, Goossens D, Ellison G, Mills J, Dzial M, Housni HE, Berwouts S, Concolino P, Guevellou VGL, Delnatte C, Favero JD, Capoluongo E, Bézieau S. Performance of multiplicom's BRCA MASTR Dx kit on the detection of BRCA1 and BRCA2 mutations in fresh frozen ovarian and breast tumor samples. Oncotarget 2016; 7:81357-81366. [PMID: 27793035 PMCID: PMC5348397 DOI: 10.18632/oncotarget.12877] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2016] [Accepted: 09/08/2016] [Indexed: 12/25/2022] Open
Abstract
Next-generation sequencing (NGS) has enabled new approaches for detection of mutations in the BRCA1 and BRCA2 genes responsible for hereditary breast and ovarian cancer (HBOC). The search for germline mutations in the BRCA1 and BRCA2 genes is of importance with respect to oncogenetic and surgical (bilateral mastectomy, ovariectomy) counselling. Testing tumor material for BRCA mutations is of increasing importance for therapeutic decision making as the poly ADP ribose polymerase (PARP) inhibitor, olaparib, is now available to treat patients with specific forms of ovarian cancer and BRCA mutations. Molecular genetics laboratories should develop reliable and sensitive techniques for the complete analysis of the BRCA1 and BRCA2 genes. This is a challenge due to the size of the coding sequence of the BRCA1/2 genes, the absence of hot spot mutations, and particularly by the lower DNA quality obtained from Formalin-Fixed Paraffin-Embedded (FFPE) tissue. As a result, a number of analyses are uninterpretable and do not always provide a result to the clinician, limiting the optimal therapeutic management of patients. The availability of Fresh Frozen Tissue (FFT) for some laboratories and the excellent quality of the DNA extracted from it offers an alternative. For this reason, we evaluated Multiplicom's BRCA MASTR Dx assay on a set of 97 FFT derived DNA samples, in combination with the MID for Illumina MiSeq for BRCA1 and BRCA2 mutation detection. We obtained interpretable NGS results for all tested samples and showed > 99,7% sensitivity, specificity and accuracy.
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Affiliation(s)
- Cindy Badoer
- Laboratoire de Génétique Moléculaire, Clinique Universitaire de Bruxelles-Hôpital Erasme-Université Libre de Bruxelles (CUB-Erasme-ULB), Brussels, Belgium
| | - Céline Garrec
- Institut de Biologie, Laboratoire de Génétique Moléculaire, Service de Génétique Médicale, CHU Nantes, Nantes, France
| | | | - Gillian Ellison
- AstraZeneca, Personalised Healthcare and Biomarkers, Alderley Park, Macclesfield, UK
| | - John Mills
- AstraZeneca, Personalised Healthcare and Biomarkers, Alderley Park, Macclesfield, UK
| | - Mélina Dzial
- Laboratoire de Génétique Moléculaire, Clinique Universitaire de Bruxelles-Hôpital Erasme-Université Libre de Bruxelles (CUB-Erasme-ULB), Brussels, Belgium
| | - Hakim El Housni
- Laboratoire de Génétique Moléculaire, Clinique Universitaire de Bruxelles-Hôpital Erasme-Université Libre de Bruxelles (CUB-Erasme-ULB), Brussels, Belgium
| | | | - Paola Concolino
- Laboratory of Clinical Molecular and Personalized Diagnostics, Foundation Policlinico Gemelli and Catholic University of Rome, Italy
| | - Virginie Guibert-Le Guevellou
- Institut de Biologie, Laboratoire de Génétique Moléculaire, Service de Génétique Médicale, CHU Nantes, Nantes, France
| | - Capucine Delnatte
- Institut de Biologie, Laboratoire de Génétique Moléculaire, Service de Génétique Médicale, CHU Nantes, Nantes, France
| | | | - Ettore Capoluongo
- Laboratory of Clinical Molecular and Personalized Diagnostics, Foundation Policlinico Gemelli and Catholic University of Rome, Italy
- Molipharma and Giovanni Paolo II Foundation, Campobasso, Italy
| | - Stéphane Bézieau
- Institut de Biologie, Laboratoire de Génétique Moléculaire, Service de Génétique Médicale, CHU Nantes, Nantes, France
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25
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Abstract
Increased demand for BRCA testing is placing pressures on diagnostic laboratories to raise their mutation screening capacity and handle the challenges associated with classifying BRCA sequence variants for clinical significance, for example interpretation of pathogenic mutations or variants of unknown significance, accurate determination of large genomic rearrangements and detection of somatic mutations in DNA extracted from formalin-fixed, paraffin-embedded tumour samples. Many diagnostic laboratories are adopting next-generation sequencing (NGS) technology to increase their screening capacity and reduce processing time and unit costs. However, migration to NGS introduces complexities arising from choice of components of the BRCA testing workflow, such as NGS platform, enrichment method and bioinformatics analysis process. An efficient, cost-effective accurate mutation detection strategy and a standardised, systematic approach to the reporting of BRCA test results is imperative for diagnostic laboratories. This review covers the challenges of BRCA testing from the perspective of a diagnostics laboratory.
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Affiliation(s)
- Andrew J Wallace
- Genomic Diagnostics Laboratory, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester, UK
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26
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Clinicopathologic Features and Germline Sequence Variants in Young Patients (≤40 Years Old) With Pancreatic Ductal Adenocarcinoma. Pancreas 2016; 45:1056-61. [PMID: 26692440 DOI: 10.1097/mpa.0000000000000574] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVES The median age of patients with pancreatic ductal adenocarcinoma (PDAC) is approximately 70 years, and PDAC rarely affects individuals younger than 40 years. Here, we investigated clinicopathologic features and genetic background of PDAC occurring in young patients (age ≤ 40 years) to determine whether any difference exists in comparison with those of older patients (>40 years). METHODS We reviewed 908 patients with pathologically proven PDAC for clinicopathologic characteristics. In addition, we performed targeted sequencing of germline variants for 49 genes that are associated with a hereditary predisposition for cancer in 9 young patients with available DNA. RESULTS Among the 908 patients, a total of 17 were diagnosed at age younger than 40 years. There were no significant differences between young and old groups in terms of sex, smoking history, tumor location, Union for International Cancer Control stage, family histories of any cancer and PDAC in first-degree relatives, and medical history of other cancer. Targeted sequencing analysis demonstrated no definite "pathogenic" variants. CONCLUSIONS The clinicopathologic features in young patients were generally similar to those in older patients. The rarity of family history of PDAC and the sequencing analysis for germline variants suggest that hereditary factors might have a weak, if any, relationship with early-onset PDAC.
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27
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Young EL, Feng BJ, Stark AW, Damiola F, Durand G, Forey N, Francy TC, Gammon A, Kohlmann WK, Kaphingst KA, McKay-Chopin S, Nguyen-Dumont T, Oliver J, Paquette AM, Pertesi M, Robinot N, Rosenthal JS, Vallee M, Voegele C, Hopper JL, Southey MC, Andrulis IL, John EM, Hashibe M, Gertz J, Le Calvez-Kelm F, Lesueur F, Goldgar DE, Tavtigian SV. Multigene testing of moderate-risk genes: be mindful of the missense. J Med Genet 2016; 53:366-76. [PMID: 26787654 PMCID: PMC4893078 DOI: 10.1136/jmedgenet-2015-103398] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 12/18/2015] [Indexed: 12/13/2022]
Abstract
BACKGROUND Moderate-risk genes have not been extensively studied, and missense substitutions in them are generally returned to patients as variants of uncertain significance lacking clearly defined risk estimates. The fraction of early-onset breast cancer cases carrying moderate-risk genotypes and quantitative methods for flagging variants for further analysis have not been established. METHODS We evaluated rare missense substitutions identified from a mutation screen of ATM, CHEK2, MRE11A, RAD50, NBN, RAD51, RINT1, XRCC2 and BARD1 in 1297 cases of early-onset breast cancer and 1121 controls via scores from Align-Grantham Variation Grantham Deviation (GVGD), combined annotation dependent depletion (CADD), multivariate analysis of protein polymorphism (MAPP) and PolyPhen-2. We also evaluated subjects by polygenotype from 18 breast cancer risk SNPs. From these analyses, we estimated the fraction of cases and controls that reach a breast cancer OR≥2.5 threshold. RESULTS Analysis of mutation screening data from the nine genes revealed that 7.5% of cases and 2.4% of controls were carriers of at least one rare variant with an average OR≥2.5. 2.1% of cases and 1.2% of controls had a polygenotype with an average OR≥2.5. CONCLUSIONS Among early-onset breast cancer cases, 9.6% had a genotype associated with an increased risk sufficient to affect clinical management recommendations. Over two-thirds of variants conferring this level of risk were rare missense substitutions in moderate-risk genes. Placement in the estimated OR≥2.5 group by at least two of these missense analysis programs should be used to prioritise variants for further study. Panel testing often creates more heat than light; quantitative approaches to variant prioritisation and classification may facilitate more efficient clinical classification of variants.
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Affiliation(s)
- E L Young
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - B J Feng
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - A W Stark
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - F Damiola
- Breast Cancer Genetics Group, Cancer Research Centre of Lyon, Centre Léon Bérard, Lyon, France
| | - G Durand
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France
| | - N Forey
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France
| | - T C Francy
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - A Gammon
- Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - W K Kohlmann
- Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - K A Kaphingst
- Department of Communication and Huntsman Cancer Institute, University of Utah
| | - S McKay-Chopin
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France
| | - T Nguyen-Dumont
- Genetic Epidemiology Laboratory, The University of Melbourne, Melbourne, Victoria, Australia
| | - J Oliver
- Instituto de Ciencias Básicas y Medicina Experimental del Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - A M Paquette
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - M Pertesi
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France
| | - N Robinot
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France
| | - J S Rosenthal
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - M Vallee
- Cancer Genomics Laboratory, CHUQ Research Center, Quebec City, Canada
| | - C Voegele
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France
| | - J L Hopper
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia Department of Epidemiology (Genome Epidemiology Lab), Seoul National University School of Public Health, Seoul, Korea
| | - M C Southey
- Department of Communication and Huntsman Cancer Institute, University of Utah
| | - I L Andrulis
- Department of Molecular Genetics, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - E M John
- Cancer Prevention Institute of California, Fremont, California, USA Department of Health Research and Policy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - M Hashibe
- Department of Family and Preventive Medicine, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - J Gertz
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - F Le Calvez-Kelm
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France
| | - F Lesueur
- Genetic Epidemiology of Cancer Team, Inserm, U900, Institut Curie, Paris, France
| | - D E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
| | - S V Tavtigian
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA
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28
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Palmero EI, Alemar B, Schüler-Faccini L, Hainaut P, Moreira-Filho CA, Ewald IP, dos Santos PK, Ribeiro PLI, de Oliveira CB, Kelm FLC, Tavtigian S, Cossio SL, Giugliani R, Caleffi M, Ashton-Prolla P. Screening for germline BRCA1, BRCA2, TP53 and CHEK2 mutations in families at-risk for hereditary breast cancer identified in a population-based study from Southern Brazil. Genet Mol Biol 2016; 39:210-22. [PMID: 27223485 PMCID: PMC4910552 DOI: 10.1590/1678-4685-gmb-2014-0363] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Accepted: 11/24/2015] [Indexed: 01/22/2023] Open
Abstract
In Brazil, breast cancer is a public health care problem due to its high incidence and mortality rates. In this study, we investigated the prevalence of hereditary breast cancer syndromes (HBCS) in a population-based cohort in Brazils southernmost capital, Porto Alegre. All participants answered a questionnaire about family history (FH) of breast, ovarian and colorectal cancer and those with a positive FH were invited for genetic cancer risk assessment (GCRA). If pedigree analysis was suggestive of HBCS, genetic testing of the BRCA1, BRCA2, TP53, and CHEK2 genes was offered. Of 902 women submitted to GCRA, 214 had pedigrees suggestive of HBCS. Fifty of them underwent genetic testing: 18 and 40 for BRCA1/BRCA2 and TP53 mutation screening, respectively, and 7 for CHEK2 1100delC testing. A deleterious BRCA2 mutation was identified in one of the HBOC probands and the CHEK2 1100delC mutation occurred in one of the HBCC families. No deleterious germline alterations were identified in BRCA1 or TP53. Although strict inclusion criteria and a comprehensive testing approach were used, the suspected genetic risk in these families remains unexplained. Further studies in a larger cohort are necessary to better understand the genetic component of hereditary breast cancer in Southern Brazil.
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Affiliation(s)
- Edenir Inêz Palmero
- Programa de Pós Graduação em Genética e Biologia Molecular,
Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Laboratório de Medicina Genômica, Hospital de Clinicas de Porto
Alegre, Porto Alegre, RS, Brazil
- Cluster of Molecular Carcinogenesis, International Agency for
Research on Cancer, Lyon, France
- Centro de Pesquisa em Oncologia Molecular, Hospital de Câncer de
Barretos, Barretos, SP, Brazil
- Faculdade de Ciências da Saúde Dr. Paulo Prata, São Paulo, SP,
Brazil
| | - Bárbara Alemar
- Programa de Pós Graduação em Genética e Biologia Molecular,
Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Laboratório de Medicina Genômica, Hospital de Clinicas de Porto
Alegre, Porto Alegre, RS, Brazil
| | - Lavínia Schüler-Faccini
- Programa de Pós Graduação em Genética e Biologia Molecular,
Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Serviço de Genética Médica, Hospital de Clinicas de Porto Alegre,
Porto Alegre, RS, Brazil
- Departmento de Genética, Universidade Federal do Rio Grande do Sul,
Porto Alegre, RS, Brazil
| | - Pierre Hainaut
- Cluster of Molecular Carcinogenesis, International Agency for
Research on Cancer, Lyon, France
| | - Carlos Alberto Moreira-Filho
- Centro de Pesquisa Experimental, Instituto de Educação e Pesquisa
Albert Einstein, São Paulo, SP, Brazil
- Departmento de Imunologia, Instituto de Ciências Biomédicas,
Universidade de São Paulo, São Paulo, SP, Brazil
| | - Ingrid Petroni Ewald
- Laboratório de Medicina Genômica, Hospital de Clinicas de Porto
Alegre, Porto Alegre, RS, Brazil
| | - Patricia Koehler dos Santos
- Programa de Pós Graduação em Genética e Biologia Molecular,
Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Laboratório de Medicina Genômica, Hospital de Clinicas de Porto
Alegre, Porto Alegre, RS, Brazil
| | | | | | - Florence Le Calvez Kelm
- Cluster of Molecular Carcinogenesis, International Agency for
Research on Cancer, Lyon, France
| | - Sean Tavtigian
- Cluster of Molecular Carcinogenesis, International Agency for
Research on Cancer, Lyon, France
| | - Silvia Liliana Cossio
- Laboratório de Medicina Genômica, Hospital de Clinicas de Porto
Alegre, Porto Alegre, RS, Brazil
- Programa de Pós Graduação em Gastroenterologia, Universidade Federal
do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Roberto Giugliani
- Programa de Pós Graduação em Genética e Biologia Molecular,
Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Serviço de Genética Médica, Hospital de Clinicas de Porto Alegre,
Porto Alegre, RS, Brazil
- Departmento de Genética, Universidade Federal do Rio Grande do Sul,
Porto Alegre, RS, Brazil
| | - Maira Caleffi
- Nucleo Mama Porto Alegre e Associação Hospitalar Moinhos de Vento,
Porto Alegre, RS, Brazil
| | - Patricia Ashton-Prolla
- Programa de Pós Graduação em Genética e Biologia Molecular,
Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Laboratório de Medicina Genômica, Hospital de Clinicas de Porto
Alegre, Porto Alegre, RS, Brazil
- Serviço de Genética Médica, Hospital de Clinicas de Porto Alegre,
Porto Alegre, RS, Brazil
- Departmento de Genética, Universidade Federal do Rio Grande do Sul,
Porto Alegre, RS, Brazil
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29
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Vallée MP, Di Sera TL, Nix DA, Paquette AM, Parsons MT, Bell R, Hoffman A, Hogervorst FBL, Goldgar DE, Spurdle AB, Tavtigian SV. Adding In Silico Assessment of Potential Splice Aberration to the Integrated Evaluation of BRCA Gene Unclassified Variants. Hum Mutat 2016; 37:627-39. [PMID: 26913838 PMCID: PMC4907813 DOI: 10.1002/humu.22973] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 01/29/2016] [Indexed: 01/05/2023]
Abstract
Clinical mutation screening of the cancer susceptibility genes BRCA1 and BRCA2 generates many unclassified variants (UVs). Most of these UVs are either rare missense substitutions or nucleotide substitutions near the splice junctions of the protein coding exons. Previously, we developed a quantitative method for evaluation of BRCA gene UVs—the “integrated evaluation”—that combines a sequence analysis‐based prior probability of pathogenicity with patient and/or tumor observational data to arrive at a posterior probability of pathogenicity. One limitation of the sequence analysis‐based prior has been that it evaluates UVs from the perspective of missense substitution severity but not probability to disrupt normal mRNA splicing. Here, we calibrated output from the splice‐site fitness program MaxEntScan to generate spliceogenicity‐based prior probabilities of pathogenicity for BRCA gene variants; these range from 0.97 for variants with high probability to damage a donor or acceptor to 0.02 for exonic variants that do not impact a splice junction and are unlikely to create a de novo donor. We created a database http://priors.hci.utah.edu/PRIORS/ that provides the combined missense substitution severity and spliceogenicity‐based probability of pathogenicity for BRCA gene single‐nucleotide substitutions. We also updated the BRCA gene Ex‐UV LOVD, available at http://hci‐exlovd.hci.utah.edu, with 77 re‐evaluable variants.
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Affiliation(s)
- Maxime P Vallée
- Department of Molecular Medicine, CHUQ Research Center, Quebec City, Canada
| | - Tonya L Di Sera
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah
| | - David A Nix
- ARUP Laboratories, University of Utah School of Medicine, Salt Lake City, Utah
| | - Andrew M Paquette
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Russel Bell
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
| | - Andrea Hoffman
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Sean V Tavtigian
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
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30
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Functional assays provide a robust tool for the clinical annotation of genetic variants of uncertain significance. NPJ Genom Med 2016; 1. [PMID: 28781887 PMCID: PMC5539989 DOI: 10.1038/npjgenmed.2016.1] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Variants of Uncertain Significance (VUS) are genetic variants whose association with a disease phenotype has not been established. They are a common finding in sequencing-based genetic tests and pose a significant clinical challenge. The objective of this study was to assess the use of functional data to classify variants according to pathogenicity. We conduct functional analysis of a large set of BRCA1 VUS combining a validated functional assay with VarCall, a Bayesian hierarchical model to estimate the likelihood of pathogenicity given the functional data. The results from the functional assays were incorporated into a joint analysis of 214 BRCA1 VUS to predict their likelihood of pathogenicity (breast cancer). We show that applying the VarCall model (1.0 sensitivity; lower bound of 95% confidence interval (CI)=0.75 and 1.0 specificity; lower bound of 95% CI=0.83) to the current set of BRCA1 variants, use of the functional data would significantly reduce the number of VUS associated with the C-terminal region of the BRCA1 protein by ~87%. We extend this work developing yeast-based functional assays for two other genes coding for BRCT domain containing proteins, MCPH1 and MDC1. Analysis of missense variants in MCPH1 and MDC1 shows that structural inference based on the BRCA1 data set can aid in prioritising variants for further analysis. Taken together our results indicate that systematic functional assays can provide a robust tool to aid in clinical annotation of VUS. We propose that well-validated functional assays could be used for clinical annotation even in the absence of additional sources of evidence.
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31
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Investigating the effect of 28 BRCA1 and BRCA2 mutations on their related transcribed mRNA. Breast Cancer Res Treat 2016; 155:253-60. [PMID: 26780556 DOI: 10.1007/s10549-015-3676-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Accepted: 12/31/2015] [Indexed: 01/25/2023]
Abstract
Germline inactivating mutations in the BRCA1 and BRCA2 genes are responsible for hereditary breast and ovarian cancer syndrome (HBOCS). Genetic testing of these genes identifies a significant proportion of variants of uncertain significance (VUS). Elucidation of the clinical impact of these variants is an important challenge in genetic diagnostics and counseling. In this study, we assess the RNA effect of 28 BRCA1 and BRCA2 VUS identified in our set of HBOCS families with the aim of gaining insight into their clinical relevance. mRNA was extracted from VUS carriers and controls lymphocytes cultured for 5-6 days and treated with puromycin. RNA was reverse transcribed to perform transcriptional analysis for the study of splicing aberrations. In silico prediction tools were used to select those variants most likely to affect the RNA splicing process. Six out of the 28 variants analyzed showed an aberrant splicing pattern and could therefore be classified as probably pathogenic mutations. Reclassification of VUS improves the genetic counseling and clinical surveillance of carriers of these mutations and highlights the importance of RNA studies in routine diagnostic laboratories.
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32
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Goetsch AL, Wicklund C, Clayman ML, Woodruff TK. Reproductive Endocrinologists' Utilization of Genetic Counselors for Oncofertility and Preimplantation Genetic Diagnosis (PGD) Treatment of BRCA1/2 Mutation Carriers. J Genet Couns 2015; 25:561-71. [PMID: 26567039 DOI: 10.1007/s10897-015-9908-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 10/30/2015] [Indexed: 11/25/2022]
Abstract
Genetic counselors believe fertility preservation and preimplantation genetic diagnosis (PGD) discussions to be a part of their role when counseling BRCA1/2 mutation-positive patients. This study is the first to explore reproductive endocrinologists' (REI) practices and attitudes regarding involvement of genetic counselors in the care of BRCA1/2 mutation carriers seeking fertility preservation and PGD. A survey was mailed to 1000 REIs from Reproductive Endocrinology & Infertility (SREI), an American Society for Reproductive Medicine (ASRM) affiliate group. A 14.5 % response rate was achieved; data was analyzed using SPSS software. The majority of participating REIs were found to recommend genetic counseling to cancer patients considering fertility preservation (82 %) and consult with a genetic counselor regarding PGD for hereditary cancer syndromes (92 %). Additionally, REIs consult genetic counselors regarding PGD patient counseling (88 %), genetic testing (78 %), and general genetics questions (66 %). Two areas genetic counselors may further aid REIs are: elicitation of family history, which is useful to determine fertility preservation and PGD intervention timing (32 % of REIs utilize a cancer family history to determine intervention timing); and, interpretation of variants of uncertain significance (VOUS) as cancer panel genetic testing becomes more common (36 % of REIs are unfamiliar with VOUS). Given our findings, the Oncofertility Consortium® created an online resource for genetic counselors focused on fertility preservation education and communication strategies.
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Affiliation(s)
- Allison L Goetsch
- Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, 303 E. Superior St, Lurie 10-231, Chicago, IL, USA.
| | - Catherine Wicklund
- Graduate Program in Genetic Counseling, Northwestern University, Chicago, IL, USA
| | - Marla L Clayman
- Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Teresa K Woodruff
- Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, 303 E. Superior St, Lurie 10-231, Chicago, IL, USA
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Lesueur F. Breast Cancer Risk Gene Discovery: Opportunities and Challenges. CURRENT GENETIC MEDICINE REPORTS 2015. [DOI: 10.1007/s40142-015-0066-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Second primary breast cancer in BRCA1 and BRCA2 mutation carriers: 10-year cumulative incidence in the Breast Cancer Family Registry. Breast Cancer Res Treat 2015; 151:653-60. [PMID: 25975955 DOI: 10.1007/s10549-015-3419-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 05/06/2015] [Indexed: 10/23/2022]
Abstract
BReast CAncer genes 1 and 2 (BRCA1 and BRCA2) mutation carriers diagnosed with breast cancer are at increased risk of developing a second primary breast cancer. Data from high-risk clinics may be subject to different biases which can cause both over and underestimation of this risk. Using data from a large multi-institutional family registry we estimated the 10-year cumulative risk of second primary breast cancer including more complete testing information on family members. We prospectively followed 800 women diagnosed with breast cancer from the Breast Cancer Family Registry (BCFR) who were carriers of a BRCA1 or BRCA2 pathogenic mutation or a variant of unknown clinical significance. In order to limit survival and ascertainment bias, cases were limited to those diagnosed with a first primary breast cancer from 1994 to 2001 and enrolled in the BCFR within 3 years after their cancer diagnosis. We excluded women enrolled after being diagnosed with a second breast cancer. We calculated 10-year incidence of second primary breast cancers. The 10-year incidence of a second primary breast cancer was highest in BRCA1 mutation carriers (17 %; 95 % CI 11-25 %), with even higher estimates in those first diagnosed under the age of 40 (21 %; 95 % CI 13-34 %). Lower rates were found in BRCA2 mutation carriers (7 %; 95 % CI 3-15 %) and women with a variant of unknown clinical significance (6 %; 95 % CI 4-9 %). Whereas the cumulative 10-year incidence of second primary breast cancer is high in BRCA1 mutation carriers, the estimates in BRCA2 mutation carriers and women with variants of unknown clinical significance are similar to those reported in women with sporadic breast cancer.
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Brookes C, Lai S, Doherty E, Love DR. Predicting the Pathogenic Potential of BRCA1 and BRCA2 Gene Variants Identified in Clinical Genetic Testing. Sultan Qaboos Univ Med J 2015; 15:e218-e225. [PMID: 26052455 PMCID: PMC4450785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 11/13/2014] [Accepted: 12/03/2014] [Indexed: 06/04/2023] Open
Abstract
OBJECTIVES Missense variants are very commonly detected when screening for mutations in the BRCA1 and BRCA2 genes. Pathogenic mutations in the BRCA1 and BRCA2 genes lead to an increased risk of developing breast, ovarian, prostate and/or pancreatic cancer. This study aimed to assess the predictive capability of in silico programmes and mutation databases in assisting diagnostic laboratories to determine the pathogenicity of sequence-detectable mutations. METHODS Between July 2011 and April 2013, an analysis was undertaken of 13 missense BRCA gene variants that had been detected in patients referred to the Genetic Health Services New Zealand (Northern Hub) for BRCA gene analysis. The analysis involved the use of 13 in silico protein prediction programmes, two in silico transcript analysis programmes and the examination of three BRCA gene databases. RESULTS In most of the variants, the analysis showed different in silico interpretations. This illustrates the interpretation challenges faced by diagnostic laboratories. CONCLUSION Unfortunately, when using online mutation databases and carrying out in silico analyses, there is significant discordance in the classification of some missense variants in the BRCA genes. This discordance leads to complexities in interpreting and reporting these variants in a clinical context. The authors have developed a simple procedure for analysing variants; however, those of unknown significance largely remain unknown. As a consequence, the clinical value of some reports may be negligible.
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Jhuraney A, Velkova A, Johnson RC, Kessing B, Carvalho RS, Whiley P, Spurdle AB, Vreeswijk MPG, Caputo SM, Millot GA, Vega A, Coquelle N, Galli A, Eccles D, Blok MJ, Pal T, van der Luijt RB, Santamariña Pena M, Neuhausen SL, Donenberg T, Machackova E, Thomas S, Vallée M, Couch FJ, Tavtigian SV, Glover JNM, Carvalho MA, Brody LC, Sharan SK, Monteiro AN. BRCA1 Circos: a visualisation resource for functional analysis of missense variants. J Med Genet 2015; 52:224-30. [PMID: 25643705 PMCID: PMC4392196 DOI: 10.1136/jmedgenet-2014-102766] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Revised: 11/29/2014] [Accepted: 12/05/2014] [Indexed: 11/17/2022]
Abstract
BACKGROUND Inactivating germline mutations in the tumour suppressor gene BRCA1 are associated with a significantly increased risk of developing breast and ovarian cancer. A large number (>1500) of unique BRCA1 variants have been identified in the population and can be classified as pathogenic, non-pathogenic or as variants of unknown significance (VUS). Many VUS are rare missense variants leading to single amino acid changes. Their impact on protein function cannot be directly inferred from sequence information, precluding assessment of their pathogenicity. Thus, functional assays are critical to assess the impact of these VUS on protein activity. BRCA1 is a multifunctional protein and different assays have been used to assess the impact of variants on different biochemical activities and biological processes. METHODS AND RESULTS To facilitate VUS analysis, we have developed a visualisation resource that compiles and displays functional data on all documented BRCA1 missense variants. BRCA1 Circos is a web-based visualisation tool based on the freely available Circos software package. The BRCA1 Circos web tool (http://research.nhgri.nih.gov/bic/circos/) aggregates data from all published BRCA1 missense variants for functional studies, harmonises their results and presents various functionalities to search and interpret individual-level functional information for each BRCA1 missense variant. CONCLUSIONS This research visualisation tool will serve as a quick one-stop publically available reference for all the BRCA1 missense variants that have been functionally assessed. It will facilitate meta-analysis of functional data and improve assessment of pathogenicity of VUS.
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Affiliation(s)
- Ankita Jhuraney
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- University of South Florida Cancer Biology PhD Program, Tampa, Florida, USA
| | - Aneliya Velkova
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Randall C Johnson
- Frederick National Laboratory for Cancer Research, National Cancer Institute, Fredrick, Maryland, USA
| | - Bailey Kessing
- Frederick National Laboratory for Cancer Research, National Cancer Institute, Fredrick, Maryland, USA
| | - Renato S Carvalho
- Instituto Federal de Educação, Ciência e Tecnologia, Rio de Janeiro, RJ, Brazil
- Instituto Nacional de Câncer, Divisão de Farmacologia, Rio de Janeiro, Brazil
| | - Phillip Whiley
- Genetics and Population Health Division, QIMR, BNE, Brisbane, Queensland, Australia
| | - Amanda B Spurdle
- Genetics and Population Health Division, QIMR, BNE, Brisbane, Queensland, Australia
| | - Maaike P G Vreeswijk
- Department of Human Genetics, Center for Human and Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Sandrine M Caputo
- Service de Génétique, Institut Curie, Hôpital René Huguenin, Paris, France
| | - Gael A Millot
- Institut Curie, Université Pierre et Marie Curie, Paris, France
| | - Ana Vega
- Fundación Pública Galega de Medicina Xenómica, Santiago, Spain
| | - Nicolas Coquelle
- Department of Biochemistry, University of Alberta, Alberta, Canada
| | - Alvaro Galli
- Instituto di Fisiologia Clinica, Consiglio Nazionale delle Ricerche, Pisa, Italy
| | | | - Marinus J Blok
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Tuya Pal
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Rob B van der Luijt
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, California, USA
| | | | - Eva Machackova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Simon Thomas
- Salisbury District Hospital, Salisbury, Wiltshire, UK
| | - Maxime Vallée
- International Agency for Research on Cancer, Lyon, France
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, and Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Sean V Tavtigian
- Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - J N Mark Glover
- Department of Biochemistry, University of Alberta, Alberta, Canada
| | - Marcelo A Carvalho
- Instituto Federal de Educação, Ciência e Tecnologia, Rio de Janeiro, RJ, Brazil
- Instituto Nacional de Câncer, Divisão de Farmacologia, Rio de Janeiro, Brazil
| | - Lawrence C Brody
- Genome Technology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Shyam K Sharan
- Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA
| | - Alvaro N Monteiro
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
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Grant RC, Selander I, Connor AA, Selvarajah S, Borgida A, Briollais L, Petersen GM, Lerner-Ellis J, Holter S, Gallinger S. Prevalence of germline mutations in cancer predisposition genes in patients with pancreatic cancer. Gastroenterology 2015; 148:556-64. [PMID: 25479140 PMCID: PMC4339623 DOI: 10.1053/j.gastro.2014.11.042] [Citation(s) in RCA: 224] [Impact Index Per Article: 24.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Revised: 11/20/2014] [Accepted: 11/23/2014] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS We investigated the prevalence of germline mutations in APC, ATM, BRCA1, BRCA2, CDKN2A, MLH1, MSH2, MSH6, PALB2, PMS2, PRSS1, STK11, and TP53 in patients with pancreatic cancer. METHODS The Ontario Pancreas Cancer Study enrolls consenting participants with pancreatic cancer from a province-wide electronic pathology database; 708 probands were enrolled from April 2003 through August 2012. To improve the precision of BRCA2 prevalence estimates, 290 probands were selected from 3 strata, based on family history of breast and/or ovarian cancer, pancreatic cancer, or neither. Germline DNA was analyzed by next-generation sequencing using a custom multiple-gene panel. Mutation prevalence estimates were calculated from the sample for the entire cohort. RESULTS Eleven pathogenic mutations were identified: 3 in ATM, 1 in BRCA1, 2 in BRCA2, 1 in MLH1, 2 in MSH2, 1 in MSH6, and 1 in TP53. The prevalence of mutations in all 13 genes was 3.8% (95% confidence interval, 2.1%-5.6%). Carrier status was associated significantly with breast cancer in the proband or first-degree relative (P < .01), and with colorectal cancer in the proband or first-degree relative (P < .01), but not family history of pancreatic cancer, age at diagnosis, or stage at diagnosis. Of patients with a personal or family history of breast and colorectal cancer, 10.7% (95% confidence interval, 4.4%-17.0%) and 11.1% (95% confidence interval, 3.0%-19.1%) carried pathogenic mutations, respectively. CONCLUSIONS A small but clinically important proportion of pancreatic cancer is associated with mutations in known predisposition genes. The heterogeneity of mutations identified in this study shows the value of using a multiple-gene panel in pancreatic cancer.
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Affiliation(s)
- Robert C Grant
- Ontario Institute for Cancer Research, Canada; Department of Medicine, University of Toronto, Canada
| | - Iris Selander
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Canada
| | - Ashton A Connor
- Division of General Surgery, Department of Surgery, University Health Network, University of Toronto, Canada
| | | | - Ayelet Borgida
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Canada
| | - Laurent Briollais
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Canada
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Jordan Lerner-Ellis
- Ontario Institute for Cancer Research, Canada; Laboratory Medicine and Pathobiology, University of Toronto, Canada; Pathology and Laboratory Medicine, Mount Sinai Hospital, Canada
| | - Spring Holter
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Canada
| | - Steven Gallinger
- Ontario Institute for Cancer Research, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Canada; Division of General Surgery, Department of Surgery, University Health Network, University of Toronto, Canada.
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Tavtigian SV, Chenevix-Trench G. Growing recognition of the role for rare missense substitutions in breast cancer susceptibility. Biomark Med 2014; 8:589-603. [PMID: 24796624 DOI: 10.2217/bmm.13.143] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Most cancer susceptibility genes function as tumor suppressors; accordingly, the focus of mutation screening in breast cancer families has been to identify protein-truncating mutations. However, it is now clear that, for some breast cancer susceptibility genes, a significant proportion of the burden of disease comes from rare missense substitutions. Among genes that have been extensively evaluated, BRCA1, BRCA2, PALB2 and BRIP1 stand as examples where the majority of mutations lead to protein truncation;TP53 provides a counter example, where the majority of pathogenic variants are missense substitutions. In ATM and CHEK2, missense substitutions are probably equally or more important in terms of their frequency and attributable risk. Therefore, ongoing efforts to identify new susceptibility genes should not ignore missense variation.
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Affiliation(s)
- Sean V Tavtigian
- Huntsman Cancer Institute and Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
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Development and validation of a new algorithm for the reclassification of genetic variants identified in the BRCA1 and BRCA2 genes. Breast Cancer Res Treat 2014; 147:119-32. [PMID: 25085752 DOI: 10.1007/s10549-014-3065-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Accepted: 07/15/2014] [Indexed: 02/06/2023]
Abstract
BRCA1 and BRCA2 sequencing analysis detects variants of uncertain clinical significance in approximately 2 % of patients undergoing clinical diagnostic testing in our laboratory. The reclassification of these variants into either a pathogenic or benign clinical interpretation is critical for improved patient management. We developed a statistical variant reclassification tool based on the premise that probands with disease-causing mutations are expected to have more severe personal and family histories than those having benign variants. The algorithm was validated using simulated variants based on approximately 145,000 probands, as well as 286 BRCA1 and 303 BRCA2 true variants. Positive and negative predictive values of ≥99 % were obtained for each gene. Although the history weighting algorithm was not designed to detect alleles of lower penetrance, analysis of the hypomorphic mutations c.5096G>A (p.Arg1699Gln; BRCA1) and c.7878G>C (p.Trp2626Cys; BRCA2) indicated that the history weighting algorithm is able to identify some lower penetrance alleles. The history weighting algorithm is a powerful tool that accurately assigns actionable clinical classifications to variants of uncertain clinical significance. While being developed for reclassification of BRCA1 and BRCA2 variants, the history weighting algorithm is expected to be applicable to other cancer- and non-cancer-related genes.
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BRCA-associated ovarian cancer: from molecular genetics to risk management. BIOMED RESEARCH INTERNATIONAL 2014; 2014:787143. [PMID: 25136623 PMCID: PMC4129974 DOI: 10.1155/2014/787143] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 07/08/2014] [Accepted: 07/10/2014] [Indexed: 01/12/2023]
Abstract
Ovarian cancer (OC) mostly arises sporadically, but a fraction of cases are associated with mutations in BRCA1 and BRCA2 genes. The presence of a BRCA mutation in OC patients has been suggested as a prognostic and predictive factor. In addition, the identification of asymptomatic carriers of such mutations offers an unprecedented opportunity for OC prevention.
This review is aimed at exploring the current knowledge on epidemiological and molecular aspects of BRCA-associated OC predisposition, on pathology and clinical behavior of OC occurring in BRCA mutation carriers, and on the available options for managing asymptomatic carriers.
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Damiola F, Pertesi M, Oliver J, Le Calvez-Kelm F, Voegele C, Young EL, Robinot N, Forey N, Durand G, Vallée MP, Tao K, Roane TC, Williams GJ, Hopper JL, Southey MC, Andrulis IL, John EM, Goldgar DE, Lesueur F, Tavtigian SV. Rare key functional domain missense substitutions in MRE11A, RAD50, and NBN contribute to breast cancer susceptibility: results from a Breast Cancer Family Registry case-control mutation-screening study. Breast Cancer Res 2014; 16:R58. [PMID: 24894818 PMCID: PMC4229874 DOI: 10.1186/bcr3669] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2013] [Accepted: 05/08/2014] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION The MRE11A-RAD50-Nibrin (MRN) complex plays several critical roles related to repair of DNA double-strand breaks. Inherited mutations in the three components predispose to genetic instability disorders and the MRN genes have been implicated in breast cancer susceptibility, but the underlying data are not entirely convincing. Here, we address two related questions: (1) are some rare MRN variants intermediate-risk breast cancer susceptibility alleles, and if so (2) do the MRN genes follow a BRCA1/BRCA2 pattern wherein most susceptibility alleles are protein-truncating variants, or do they follow an ATM/CHEK2 pattern wherein half or more of the susceptibility alleles are missense substitutions? METHODS Using high-resolution melt curve analysis followed by Sanger sequencing, we mutation screened the coding exons and proximal splice junction regions of the MRN genes in 1,313 early-onset breast cancer cases and 1,123 population controls. Rare variants in the three genes were pooled using bioinformatics methods similar to those previously applied to ATM, BRCA1, BRCA2, and CHEK2, and then assessed by logistic regression. RESULTS Re-analysis of our ATM, BRCA1, and BRCA2 mutation screening data revealed that these genes do not harbor pathogenic alleles (other than modest-risk SNPs) with minor allele frequencies>0.1% in Caucasian Americans, African Americans, or East Asians. Limiting our MRN analyses to variants with allele frequencies of <0.1% and combining protein-truncating variants, likely spliceogenic variants, and key functional domain rare missense substitutions, we found significant evidence that the MRN genes are indeed intermediate-risk breast cancer susceptibility genes (odds ratio (OR)=2.88, P=0.0090). Key domain missense substitutions were more frequent than the truncating variants (24 versus 12 observations) and conferred a slightly higher OR (3.07 versus 2.61) with a lower P value (0.029 versus 0.14). CONCLUSIONS These data establish that MRE11A, RAD50, and NBN are intermediate-risk breast cancer susceptibility genes. Like ATM and CHEK2, their spectrum of pathogenic variants includes a relatively high proportion of missense substitutions. However, the data neither establish whether variants in each of the three genes are best evaluated under the same analysis model nor achieve clinically actionable classification of individual variants observed in this study.
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Affiliation(s)
- Francesca Damiola
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
- Genetic of Breast Cancer group, Cancer Research Center of Lyon, Centre Léon Bérard, 28 rue Laennec, Lyon 69008, France
| | - Maroulio Pertesi
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
| | - Javier Oliver
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
| | - Florence Le Calvez-Kelm
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
| | - Catherine Voegele
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
| | - Erin L Young
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, 2000 Circle of Hope, Salt Lake City, UT 84112, USA
| | - Nivonirina Robinot
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
| | - Nathalie Forey
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
| | - Geoffroy Durand
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
| | - Maxime P Vallée
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
| | - Kayoko Tao
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, 2000 Circle of Hope, Salt Lake City, UT 84112, USA
| | | | - Gareth J Williams
- Life Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC 3010, Australia
- Department of Epidemiology (Genome Epidemiology Lab), Seoul National University School of Public Health, 599 Gwanak-ro Granak-gu, Seoul 151-742, Korea
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, The University of Melbourne, 207 Bouverie Street, Melbourne, VIC 3010, Australia
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Department of Molecular Genetics, University of Toronto, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Esther M John
- Cancer Prevention Institute of California, 2201 Walnut Avenue, Fremont, CA 94538, USA
- Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Drive, Stanford, CA 94305, USA
| | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, 2000 Circle of Hope, Salt Lake City, UT 84112, USA
| | - Fabienne Lesueur
- Genetic Cancer Susceptibility group, International Agency for Research on Cancer, 150 cours Albert Thomas, Lyon 69372, France
- Genetic Epidemiology of Cancer team, Inserm, U900, Institut Curie, Mines ParisTech, 26 rue d’Ulm, Paris 75248, France
| | - Sean V Tavtigian
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, 2000 Circle of Hope, Salt Lake City, UT 84112, USA
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Silva FC, Lisboa BCG, Figueiredo MCP, Torrezan GT, Santos ÉMM, Krepischi AC, Rossi BM, Achatz MI, Carraro DM. Hereditary breast and ovarian cancer: assessment of point mutations and copy number variations in Brazilian patients. BMC MEDICAL GENETICS 2014; 15:55. [PMID: 24884479 PMCID: PMC4038072 DOI: 10.1186/1471-2350-15-55] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Accepted: 04/29/2014] [Indexed: 11/10/2022]
Abstract
BACKGROUND Germ line mutations in BRCA1 and BRCA2 (BRCA1/2) and other susceptibility genes have been identified as genetic causes of hereditary breast and ovarian cancer (HBOC). To identify the disease-causing mutations in a cohort of 120 Brazilian women fulfilling criteria for HBOC, we carried out a comprehensive screening of BRCA1/2, TP53 R337H, CHEK2 1100delC, followed by an analysis of copy number variations in 14 additional breast cancer susceptibility genes (PTEN, ATM, NBN, RAD50, RAD51, BRIP1, PALB2, MLH1, MSH2, MSH6, TP53, CDKN2A, CDH1 and CTNNB1). METHODS Capillary sequencing and multiplex ligation-dependent probe amplification (MLPA) were used for detecting point mutations and copy number variations (CNVs), respectively, for the BRCA1 and BRCA2 genes; capillary sequencing was used for point mutation for both variants TP53 R337H and CHEK2 1100delC, and finally array comparative genomic hybridization (array-CGH) was used for identifying CNVs in the 14 additional genes. RESULTS The positive detection rate in our series was 26%. BRCA1 pathogenic mutations were found in 20 cases, including two cases with CNVs, whereas BRCA2 mutations were found in 7 cases. We also found three patients with the TP53 R337H mutation and one patient with the CHEK2 1100delC mutation. Seven (25%) pathogenic mutations in BRCA1/2 were firstly described, including a splice-site BRCA1 mutation for which pathogenicity was confirmed by the presence of an aberrant transcript showing the loss of the last 62 bp of exon 7. Microdeletions of exon 4 in ATM and exon 2 in PTEN were identified in BRCA2-mutated and BRCA1/2-negative patients, respectively. CONCLUSIONS In summary, our results showed a high frequency of BRCA1/2 mutations and a higher prevalence of BRCA1 (64.5%) gene. Moreover, the detection of the TP53 R337H variant in our series and the fact that this variant has a founder effect in our population prompted us to suggest that all female breast cancer patients with clinical criteria for HBOC and negative for BRCA1/2 genes should be tested for the TP53 R337H variant. Furthermore, the presence of genomic structural rearrangement resulting in CNVs in other genes that predispose breast cancer in conjunction with BRCA2 point mutations demonstrated a highly complex genetic etiology in Brazilian breast cancer families.
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Affiliation(s)
- Felipe C Silva
- Laboratory of Genomics and Molecular Biology, CIPE - A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Bianca CG Lisboa
- Laboratory of Genomics and Molecular Biology, CIPE - A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Marcia CP Figueiredo
- Laboratory of Genomics and Molecular Biology, CIPE - A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Giovana T Torrezan
- Laboratory of Genomics and Molecular Biology, CIPE - A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Érika MM Santos
- Department of Colorectal Tumors, A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Ana C Krepischi
- Laboratory of Genomics and Molecular Biology, CIPE - A. C. Camargo Cancer Center, São Paulo, Brazil
- National Institute of Science and Technology in Oncogenomics (INCITO), São Paulo, Brazil
| | - Benedito M Rossi
- Department of Colorectal Tumors, A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Maria I Achatz
- National Institute of Science and Technology in Oncogenomics (INCITO), São Paulo, Brazil
- Department of Oncogenetics, A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Dirce M Carraro
- Laboratory of Genomics and Molecular Biology, CIPE - A. C. Camargo Cancer Center, São Paulo, Brazil
- National Institute of Science and Technology in Oncogenomics (INCITO), São Paulo, Brazil
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44
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Safra T, Lai WC, Borgato L, Nicoletto MO, Berman T, Reich E, Alvear M, Haviv I, Muggia FM. BRCA mutations and outcome in epithelial ovarian cancer (EOC): experience in ethnically diverse groups. Ann Oncol 2014; 24 Suppl 8:viii63-viii68. [PMID: 24131973 DOI: 10.1093/annonc/mdt315] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Epithelial ovarian cancer (EOC) patients with BRCA mutations have better prognosis than nonhereditary cases matched for histology and stage and age at diagnosis, especially Ashkenazi Jews (AJ). MATERIALS AND METHODS We retrospectively reviewed data on 700 highly ethnically heterogeneous patients diagnosed with stage Ic-IV EOC and evaluated for BRCA status between 1995 and 2009 in American, Israeli, and Italian medical centers. RESULTS The ethnicities of the 190 patients (median age 55.5 years, range 31-83 years) were AJ, Jewish non-Ashkenazi, Caucasian, African-American, Hispanic, or unknown. Ninety were BRCA1/2 carriers (71 BRCA1 and 19BRCA2). The most common mutations in AJ and non-AJ origins were 185delAG and 6174delT. Non-Jewish Caucasians exhibited the widest variation (>20 mutation subtypes). BRCA carriers had significantly prolonged median overall survival (93.6 months) compared with noncarriers (66.6 months; 95% confidence interval 44.5-91.7, P = 0.0081). There was no difference in progression-free survival. CONCLUSIONS Our data demonstrate a wide variety of BRCA mutations in a highly ethnically diverse EOC population, and confirm that EOC BRCA mutation carriers have better prognosis with longer median survival than patients with nonhereditary disease. The contribution of unclassified BRCA variants to cancer etiology remains undetermined.
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Affiliation(s)
- T Safra
- New York University Cancer Institute, New York, NY, USA
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45
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Richter S, Haroun I, Graham TC, Eisen A, Kiss A, Warner E. Variants of unknown significance in BRCA testing: impact on risk perception, worry, prevention and counseling. Ann Oncol 2014; 24 Suppl 8:viii69-viii74. [PMID: 24131974 DOI: 10.1093/annonc/mdt312] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Sequence-based BRCA testing can identify variants of unknown significance (VUS). Relatively little is known about how well a test outcome of VUS is understood by patients and referring physicians, and whether genetic counselors have an interest in the development of VUS management guidelines. DESIGN Self-administered questionnaires were completed by 36 VUS counselees, 75 women with a BRCA mutation and 33 with no mutation found (NMF). We also surveyed 24 genetic counselors and 22 referring family physicians. RESULTS One-third of VUS failed to recall the clinical significance of their result. Incorrect recall was significantly higher among VUS with high-school-only education (70% versus 19%, P = 0.02). Risk perception, cancer worry and uptake of surveillance and risk-reducing surgeries among VUS counselees were more similar to NMF than to mutation carriers. Genetic counselors accurately predicted the difficulties counselees would have with a VUS result and identified the need for VUS management guidelines. Referring physicians unanimously stated that genetic testing was indicated for unaffected siblings of VUS carriers. CONCLUSIONS While VUS seems to be correctly perceived by counselees as more similar to NMF than to a pathogenic mutation, miscomprehension of VUS is more common, particularly in counselees with lower education. VUS-related educational interventions for both VUS counselees and their referring physicians are needed. We encourage the development of national VUS-related guidelines for genetic counselors.
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Affiliation(s)
- S Richter
- Department of Medicine, Division of Oncology, St Michael's Hospital, Toronto
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46
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Multifactorial likelihood assessment of BRCA1 and BRCA2 missense variants confirms that BRCA1:c.122A>G(p.His41Arg) is a pathogenic mutation. PLoS One 2014; 9:e86836. [PMID: 24489791 PMCID: PMC3904950 DOI: 10.1371/journal.pone.0086836] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2013] [Accepted: 12/13/2013] [Indexed: 11/22/2022] Open
Abstract
Rare exonic, non-truncating variants in known cancer susceptibility genes such as BRCA1 and BRCA2 are problematic for genetic counseling and clinical management of relevant families. This study used multifactorial likelihood analysis and/or bioinformatically-directed mRNA assays to assess pathogenicity of 19 BRCA1 or BRCA2 variants identified following patient referral to clinical genetic services. Two variants were considered to be pathogenic (Class 5). BRCA1:c.4484G> C(p.Arg1495Thr) was shown to result in aberrant mRNA transcripts predicted to encode truncated proteins. The BRCA1:c.122A>G(p.His41Arg) RING-domain variant was found from multifactorial likelihood analysis to have a posterior probability of pathogenicity of 0.995, a result consistent with existing protein functional assay data indicating lost BARD1 binding and ubiquitin ligase activity. Of the remaining variants, seven were determined to be not clinically significant (Class 1), nine were likely not pathogenic (Class 2), and one was uncertain (Class 3).These results have implications for genetic counseling and medical management of families carrying these specific variants. They also provide additional multifactorial likelihood variant classifications as reference to evaluate the sensitivity and specificity of bioinformatic prediction tools and/or functional assay data in future studies.
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47
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Thompson BA, Spurdle AB, Plazzer JP, Greenblatt MS, Akagi K, Al-Mulla F, Bapat B, Bernstein I, Capellá G, den Dunnen JT, du Sart D, Fabre A, Farrell MP, Farrington SM, Frayling IM, Frebourg T, Goldgar DE, Heinen CD, Holinski-Feder E, Kohonen-Corish M, Robinson KL, Leung SY, Martins A, Moller P, Morak M, Nystrom M, Peltomaki P, Pineda M, Qi M, Ramesar R, Rasmussen LJ, Royer-Pokora B, Scott RJ, Sijmons R, Tavtigian SV, Tops CM, Weber T, Wijnen J, Woods MO, Macrae F, Genuardi M. Application of a 5-tiered scheme for standardized classification of 2,360 unique mismatch repair gene variants in the InSiGHT locus-specific database. Nat Genet 2013; 46:107-115. [PMID: 24362816 DOI: 10.1038/ng.2854] [Citation(s) in RCA: 363] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2013] [Accepted: 11/26/2013] [Indexed: 12/12/2022]
Abstract
The clinical classification of hereditary sequence variants identified in disease-related genes directly affects clinical management of patients and their relatives. The International Society for Gastrointestinal Hereditary Tumours (InSiGHT) undertook a collaborative effort to develop, test and apply a standardized classification scheme to constitutional variants in the Lynch syndrome-associated genes MLH1, MSH2, MSH6 and PMS2. Unpublished data submission was encouraged to assist in variant classification and was recognized through microattribution. The scheme was refined by multidisciplinary expert committee review of the clinical and functional data available for variants, applied to 2,360 sequence alterations, and disseminated online. Assessment using validated criteria altered classifications for 66% of 12,006 database entries. Clinical recommendations based on transparent evaluation are now possible for 1,370 variants that were not obviously protein truncating from nomenclature. This large-scale endeavor will facilitate the consistent management of families suspected to have Lynch syndrome and demonstrates the value of multidisciplinary collaboration in the curation and classification of variants in public locus-specific databases.
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Affiliation(s)
- Bryony A Thompson
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.,School of Medicine, University of Queensland, Brisbane, Australia
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - John-Paul Plazzer
- Department of Colorectal Medicine and Genetics, Royal Melbourne Hospital, Australia
| | - Marc S Greenblatt
- Vermont Cancer Center, University of Vermont College of Medicine, Burlington, VT, USA
| | - Kiwamu Akagi
- Division of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, Saitama, Japan
| | - Fahd Al-Mulla
- Department of Pathology, Faculty of Medicine, Health Sciences Center, Kuwait University, Safat, Kuwait
| | - Bharati Bapat
- Department of Lab Medicine and Pathobiology, University of Toronto, Canada
| | - Inge Bernstein
- Danish HNPCC Registry, Copenhagen, Denmark.,Surgical Gastroenterology Department, Aalborg University Hospital, Aalborg, Denmark
| | - Gabriel Capellá
- Hereditary Cancer Program, Catalan Institute of Oncology-IDIBELL, Barcelona, Spain
| | - Johan T den Dunnen
- Center of Human and Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - Desiree du Sart
- Molecular Genetics Lab, Victorian Clinical Genetics Services, Murdoch Childrens Research Institute, Melbourne, Australia
| | - Aurelie Fabre
- INSERM UMR S910, Department of Medical Genetics and Functional Genomics, Marseille, France
| | - Michael P Farrell
- Department of Cancer Genetics, Mater Private Hospital, Dublin, Ireland
| | - Susan M Farrington
- Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh, Scotland
| | - Ian M Frayling
- Institute of Medical Genetics, University Hospital of Wales, Cardiff, UK
| | - Thierry Frebourg
- Inserm U1079, Faculty of Medicine, Institute for Biomedical Research, University of Rouen, France
| | - David E Goldgar
- Department of Dermatology, University of Utah Medical School, Salt Lake City, UT, USA.,Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Christopher D Heinen
- Center for Molecular Medicine, UConn Health Center, Farmington, CT, USA.,Neag Comprehensive Cancer Center, UConn Health Center, Farmington, CT, USA
| | - Elke Holinski-Feder
- MGZ - Medizinisch Genetisches Zentrum, Munich, Germany.,Klinikum der Universität München, Campus Innenstadt, Medizinische Klinik und Poliklinik IV, Munich, Germany
| | - Maija Kohonen-Corish
- School of Medicine, University of Western Sydney, Sydney, Australia.,The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, Australia.,St Vincent's Clinical School, University of NSW, Sydney, Australia
| | - Kristina Lagerstedt Robinson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Suet Yi Leung
- Hereditary Gastrointestinal Cancer Genetic Diagnosis Laboratory, Department of Pathology, The University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong
| | - Alexandra Martins
- Inserm U1079, University of Rouen, Institute for Research and Innovation in Biomedicine, Rouen, France
| | - Pal Moller
- Research Group on Inherited Cancer, Department of Medical Genetics, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway
| | - Monika Morak
- MGZ - Medizinisch Genetisches Zentrum, Munich, Germany.,Klinikum der Universität München, Campus Innenstadt, Medizinische Klinik und Poliklinik IV, Munich, Germany
| | - Minna Nystrom
- Division of Genetics, Department of Biosciences, University of Helsinki, Helsinki, Finland
| | - Paivi Peltomaki
- Department of Medical Genetics, Haartman Institute, University of Helsinki, Finland
| | - Marta Pineda
- Hereditary Cancer Program, Catalan Institute of Oncology-IDIBELL, Barcelona, Spain
| | - Ming Qi
- Center for Genetic and Genomic Medicine, The First Affiliated Hospital of Zhejiang University School of Medicine, James Watson Institute of Genomic Sciences, Beijing Genome Institute, China.,University of Rochester Medical Center, NY, USA
| | - Rajkumar Ramesar
- MRC Human Genetics Research Unit, Division of Human Genetics, Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, South Africa
| | | | | | - Rodney J Scott
- Discipline of Medical Genetics, Faculty of Health, University of Newcastle, The Hunter Medical Research Institute, NSW, Australia.,The Division of Molecular Medicine, Hunter Area Pathology Service, John Hunter Hospital, Newcastle, NSW, Australia
| | - Rolf Sijmons
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Carli M Tops
- Center of Human and Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - Thomas Weber
- State University of New York at Downstate, Brooklyn, NY, USA
| | - Juul Wijnen
- Center of Human and Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - Michael O Woods
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Finlay Macrae
- Department of Colorectal Medicine and Genetics, Royal Melbourne Hospital, Australia
| | - Maurizio Genuardi
- Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Italy.,Fiorgen Foundation for Pharmacogenomics, Sesto Fiorentino, Italy
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48
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Guidugli L, Carreira A, Caputo SM, Ehlen A, Galli A, Monteiro ANA, Neuhausen SL, Hansen TVO, Couch FJ, Vreeswijk MPG. Functional assays for analysis of variants of uncertain significance in BRCA2. Hum Mutat 2013; 35:151-64. [PMID: 24323938 DOI: 10.1002/humu.22478] [Citation(s) in RCA: 92] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Accepted: 10/28/2013] [Indexed: 01/11/2023]
Abstract
Missense variants in the BRCA2 gene are routinely detected during clinical screening for pathogenic mutations in patients with a family history of breast and ovarian cancer. These subtle changes frequently remain of unknown clinical significance because of the lack of genetic information that may help establish a direct correlation with cancer predisposition. Therefore, alternative ways of predicting the pathogenicity of these variants are urgently needed. Since BRCA2 is a protein involved in important cellular mechanisms such as DNA repair, replication, and cell cycle control, functional assays have been developed that exploit these cellular activities to explore the impact of the variants on protein function. In this review, we summarize assays developed and currently utilized for studying missense variants in BRCA2. We specifically depict details of each assay, including variants of uncertain significance analyzed, and describe a validation set of (genetically) proven pathogenic and neutral missense variants to serve as a golden standard for the validation of each assay. Guidelines are proposed to enable implementation of laboratory-based methods to assess the impact of the variant on cancer risk.
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Affiliation(s)
- Lucia Guidugli
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
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49
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Di Giacomo D, Gaildrat P, Abuli A, Abdat J, Frébourg T, Tosi M, Martins A. Functional analysis of a large set of BRCA2 exon 7 variants highlights the predictive value of hexamer scores in detecting alterations of exonic splicing regulatory elements. Hum Mutat 2013; 34:1547-57. [PMID: 23983145 DOI: 10.1002/humu.22428] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2013] [Accepted: 08/14/2013] [Indexed: 11/06/2022]
Abstract
Exonic variants can alter pre-mRNA splicing either by changing splice sites or by modifying splicing regulatory elements. Often these effects are difficult to predict and are only detected by performing RNA analyses. Here, we analyzed, in a minigene assay, 26 variants identified in the exon 7 of BRCA2, a cancer predisposition gene. Our results revealed eight new exon skipping mutations in this exon: one directly altering the 5' splice site and seven affecting potential regulatory elements. This brings the number of splicing regulatory mutations detected in BRCA2 exon 7 to a total of 11, a remarkably high number considering the total number of variants reported in this exon (n = 36), all tested in our minigene assay. We then exploited this large set of splicing data to test the predictive value of splicing regulator hexamers' scores recently established by Ke et al. (). Comparisons of hexamer-based predictions with our experimental data revealed high sensitivity in detecting variants that increased exon skipping, an important feature for prescreening variants before RNA analysis. In conclusion, hexamer scores represent a promising tool for predicting the biological consequences of exonic variants and may have important applications for the interpretation of variants detected by high-throughput sequencing.
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Affiliation(s)
- Daniela Di Giacomo
- Inserm U1079, University of Rouen, Institute for Research and Innovation in Biomedicine, Rouen, France; Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Italy
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50
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So D, Joly Y. Commercial Opportunities and Ethical Pitfalls in Personalized Medicine: A Myriad of Reasons to Revisit the Myriad Genetics Saga. ACTA ACUST UNITED AC 2013; 11:98-109. [PMID: 23885284 PMCID: PMC3715893 DOI: 10.2174/1875692111311020003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2013] [Revised: 04/03/2013] [Accepted: 04/12/2013] [Indexed: 12/24/2022]
Abstract
In 1996, the US-based biotechnology company Myriad Genetics began offering genetic diagnostic tests for mutations in the genes BRCA1 and BRCA2, which are linked to hereditary breast and ovarian cancer. Since that time, Myriad has been a forerunner in the field of personalized medicine through the use of effective commercialization strategies which have been emulated by other commercial biotechnology companies. Myriad’s strategies include patent acquisition and active enforcement, direct-to-consumer advertising, diversification, and trade secrets. These business models have raised substantial ethical controversy and criticism, often related to the company’s focus on market dominance and the potential conflict between private sector profitability and the promotion of public health. However, these strategies have enabled Myriad to survive the economic challenges that have affected the biotechnology sector and to become financially successful in the field of personalized medicine. Our critical assessment of the legal, economic and ethical aspects of Myriad’s practices over this period allows the identification of the company’s more effective business models. It also discusses of the consequences of implementing economically viable models without first carrying out broader reflection on the socio-cultural, ethical and political contexts in which they would apply.
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Affiliation(s)
- Derek So
- Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Canada
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