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Alvaro-Aranda L, Petitalot A, Djeghmoum Y, Panigada D, Singh J, Ehlén Å, Vugic D, Martin C, Miron S, Contreras-Perez A, Nhiri N, Boucherit V, Lafitte P, Dumoulin I, Quiles F, Rouleau E, Jacquet E, Feliubadaló L, del Valle J, Sharan SK, Stoppa-Lyonnet D, Zinn-Justin S, Lázaro C, Caputo S, Carreira A. The BRCA2 R2645G variant increases DNA binding and induces hyper-recombination. Nucleic Acids Res 2024; 52:6964-6976. [PMID: 38142462 PMCID: PMC11229362 DOI: 10.1093/nar/gkad1222] [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: 08/08/2023] [Revised: 11/30/2023] [Accepted: 12/12/2023] [Indexed: 12/26/2023] Open
Abstract
BRCA2 tumor suppressor protein ensures genome integrity by mediating DNA repair via homologous recombination (HR). This function is executed in part by its canonical DNA binding domain located at the C-terminus (BRCA2CTD), the only folded domain of the protein. Most germline pathogenic missense variants are located in this highly conserved region which binds to single-stranded DNA (ssDNA) and to the acidic protein DSS1. These interactions are essential for the HR function of BRCA2. Here, we report that the variant R2645G, identified in breast cancer and located at the DSS1 interface, unexpectedly increases the ssDNA binding activity of BRCA2CTDin vitro. Human cells expressing this variant display a hyper-recombination phenotype, chromosomal instability in the form of chromatid gaps when exposed to DNA damage, and increased PARP inhibitor sensitivity. In mouse embryonic stem cells (mES), this variant alters viability and confers sensitivity to cisplatin and Mitomycin C. These results suggest that BRCA2 interaction with ssDNA needs to be tightly regulated to limit HR and prevent chromosomal instability and we propose that this control mechanism involves DSS1. Given that several missense variants located within this region have been identified in breast cancer patients, these findings might have clinical implications for carriers.
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Affiliation(s)
- Lucia Alvaro-Aranda
- Genome Instability and Cancer Predisposition Laboratory, Centro de Biologia Molecular Severo Ochoa (CBMSO), CSIC-UAM, Madrid 28049, Spain
| | - Ambre Petitalot
- Department of Genetics, Institut Curie, Paris 75005, France
- PSL Research University, Paris 75005, France
| | - Yasmina Djeghmoum
- Institut Curie, PSL Research University, CNRS, UMR3348, F-91405 Orsay, France
- Paris-Saclay University CNRS, UMR3348, F-91405 Orsay, France
| | - Davide Panigada
- Institut Curie, PSL Research University, CNRS, UMR3348, F-91405 Orsay, France
- Paris-Saclay University CNRS, UMR3348, F-91405 Orsay, France
| | - Jenny Kaur Singh
- Institut Curie, PSL Research University, CNRS, UMR3348, F-91405 Orsay, France
- Paris-Saclay University CNRS, UMR3348, F-91405 Orsay, France
| | - Åsa Ehlén
- Institut Curie, PSL Research University, CNRS, UMR3348, F-91405 Orsay, France
- Paris-Saclay University CNRS, UMR3348, F-91405 Orsay, France
| | - Domagoj Vugic
- Institut Curie, PSL Research University, CNRS, UMR3348, F-91405 Orsay, France
- Paris-Saclay University CNRS, UMR3348, F-91405 Orsay, France
| | - Charlotte Martin
- Institut Curie, PSL Research University, CNRS, UMR3348, F-91405 Orsay, France
- Paris-Saclay University CNRS, UMR3348, F-91405 Orsay, France
| | - Simona Miron
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Paris-Saclay University, 91190 Gif-sur-Yvette, France
| | - Aida Contreras-Perez
- Genome Instability and Cancer Predisposition Laboratory, Centro de Biologia Molecular Severo Ochoa (CBMSO), CSIC-UAM, Madrid 28049, Spain
| | - Naima Nhiri
- Institut de Chimie des Substances Naturelles, Paris-Saclay University, CNRS, 91190 Gif-sur-Yvette, France
| | - Virginie Boucherit
- Institut Curie, PSL Research University, CNRS, UMR3348, F-91405 Orsay, France
- Paris-Saclay University CNRS, UMR3348, F-91405 Orsay, France
| | - Philippe Lafitte
- Department of Genetics, Institut Curie, Paris 75005, France
- PSL Research University, Paris 75005, France
| | - Isaac Dumoulin
- Institut Curie, PSL Research University, CNRS, UMR3348, F-91405 Orsay, France
- Paris-Saclay University CNRS, UMR3348, F-91405 Orsay, France
| | - Francisco Quiles
- Hereditary Cancer Program, Catalan Institute of Oncology (ICO), Hereditary Cancer Group, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Spain
- Ciber Oncología (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
| | - Etienne Rouleau
- Department of Genetics, Institut Curie, Paris 75005, France
- PSL Research University, Paris 75005, France
| | - Eric Jacquet
- Institut de Chimie des Substances Naturelles, Paris-Saclay University, CNRS, 91190 Gif-sur-Yvette, France
| | - Lidia Feliubadaló
- Hereditary Cancer Program, Catalan Institute of Oncology (ICO), Hereditary Cancer Group, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Spain
- Ciber Oncología (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
| | - Jesús del Valle
- Hereditary Cancer Program, Catalan Institute of Oncology (ICO), Hereditary Cancer Group, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Spain
- Ciber Oncología (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
| | - Shyam K Sharan
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland 21702, USA
| | - Dominique Stoppa-Lyonnet
- Department of Genetics, Institut Curie, Paris 75005, France
- Paris-Cité University, Paris, France
- INSERM U830, Institut Curie, Paris 75005, France
| | - Sophie Zinn-Justin
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Paris-Saclay University, 91190 Gif-sur-Yvette, France
| | - Conxi Lázaro
- Hereditary Cancer Program, Catalan Institute of Oncology (ICO), Hereditary Cancer Group, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Spain
- Ciber Oncología (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
| | - Sandrine M Caputo
- Department of Genetics, Institut Curie, Paris 75005, France
- PSL Research University, Paris 75005, France
| | - Aura Carreira
- Genome Instability and Cancer Predisposition Laboratory, Centro de Biologia Molecular Severo Ochoa (CBMSO), CSIC-UAM, Madrid 28049, Spain
- Institut Curie, PSL Research University, CNRS, UMR3348, F-91405 Orsay, France
- Paris-Saclay University CNRS, UMR3348, F-91405 Orsay, France
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2
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Hassan AN, Mustafa MS. Breast Cancer High-Penetrance Genes BRCA1 and BRCA2 Mutations Using Next-Generation Sequencing Among Iraqi Kurdish Women. Cureus 2024; 16:e62160. [PMID: 38863777 PMCID: PMC11166091 DOI: 10.7759/cureus.62160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2024] [Indexed: 06/13/2024] Open
Abstract
Background BRCA1 and BRCA2 genes are the main high-penetrance genes that are responsible for most cases of inherited breast cancer. The present study aimed to detect the frequencies of inherited breast cancer caused by BRCA1 and BRCA2 genes among Kurdish breast cancer patients, including all the exome of these two genes, using next-generation sequencing (NGS). Methodology Seventy women who were diagnosed with breast cancer and registered at Nanakali Hospital in Erbil, Iraq, were included. Blood samples were collected for molecular testing (polymerase chain reaction (PCR)) targeting all exomes of BRCA1 and BRCA2 genes. All exome regions are sequenced by NGS using the Miseq system (Illumina Inc., San Diego, CA). Obtained data were visualized using Integrative Genomics Viewer (IGV 2.3 Software, Broad Institute, Cambridge, MA). Data were interpreted based on the National Center for Biotechnology Information (NCBI), Clinically Relevant Variation (ClinVar) archives, and other databases. Results Among 70 samples, more than forty-two variants have been detected, 20 on BRCA1 and 22 on BRCA2. Regarding clinical significance, six (14.28%) variants were pathogenic, four of them on the BRCA1 gene, which were: c.3607C>T, c.3544C>T, c.68_69del, and c.224_227delAAAG, and two pathogenic variants were on BRCA2 gene: c.100G>T, and c.1813delA. Also, two (4.76%) variants were conflict interpretations of pathogenicity, one (2.38%) was a variant of uncertain significant VUS, and the rest 29 (69%) variants were benign. In addition, four new variants (three in BRCA1 and one in BRCA2 gene), never previously reported, were identified. Conclusions In conclusion, analyzing the BRCA1/2 genes provide a better prediction for the risk of developing breast cancer in the future. Variant types and frequencies differ among different populations and ethnicities, the common mutations worldwide may not be prevalent in the Kurdish population. The current research findings will be useful for future screening studies of these two genes in the Kurdish population.
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Affiliation(s)
- Ahmad N Hassan
- Department of Medical Laboratory Technology, Erbil Technical Health and Medical College, Erbil Polytechnic University, Erbil, IRQ
| | - Mustafa S Mustafa
- Department of Biology, College of Science, Salahaddin University-Erbil, Erbil, IRQ
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Carrizosa C, Undlien DE, Vigeland MD. shinyseg: a web application for flexible cosegregation and sensitivity analysis. Bioinformatics 2024; 40:btae201. [PMID: 38598476 PMCID: PMC11069105 DOI: 10.1093/bioinformatics/btae201] [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: 12/27/2023] [Revised: 03/12/2024] [Accepted: 04/16/2024] [Indexed: 04/12/2024] Open
Abstract
MOTIVATION Cosegregation analysis is a powerful tool for identifying pathogenic genetic variants, but its implementation remains challenging. Existing software is either limited in scope or too demanding for many end users. Moreover, current solutions lack methods for assessing the robustness of cosegregation evidence, which is important due to its reliance on uncertain estimates. RESULTS We present shinyseg, a comprehensive web application for clinical cosegregation analysis. Our app streamlines penetrance specification based on either liability classes or epidemiological data such as risks, hazard ratios, and age of onset distribution. In addition, it incorporates sensitivity analyses to assess the robustness of cosegregation evidence, and offers support in clinical interpretation. AVAILABILITY AND IMPLEMENTATION The shinyseg app is freely available at https://chrcarrizosa.shinyapps.io/shinyseg, with documentation and complete R source code on https://chrcarrizosa.github.io/shinyseg and https://github.com/chrcarrizosa/shinyseg.
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Affiliation(s)
- Christian Carrizosa
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, 0424 Oslo, Norway
| | - Dag E Undlien
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, 0424 Oslo, Norway
| | - Magnus D Vigeland
- Department of Forensic Sciences, Oslo University Hospital, 0424 Oslo, Norway
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Militello AM, Orsi G, Cavaliere A, Niger M, Avallone A, Salvatore L, Tortora G, Rapposelli IG, Giordano G, Noventa S, Giommoni E, Bozzarelli S, Macchini M, Peretti U, Procaccio L, Puccini A, Cascinu S, Montagna C, Milella M, Reni M. Clinical outcomes and response to chemotherapy in a cohort of pancreatic cancer patients with germline variants of unknown significance (VUS) in BRCA1 and BRCA2 genes. Cancer Chemother Pharmacol 2023; 92:501-510. [PMID: 37725113 DOI: 10.1007/s00280-023-04585-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 08/22/2023] [Indexed: 09/21/2023]
Abstract
PURPOSE The clinical outcome and the efficacy of chemotherapy in pancreatic cancer patients with BRCA1/2 Variants of Unknown Significance (VUS) is unknown. We explored the effects of chemotherapy with or without Platinum in non metastatic and metastatic pancreatic cancer patients with BRCA1/2 VUS. METHODS A retrospective analysis of non-metastatic or metastatic pancreatic cancer patients with gBRCA1/2 VUS treated in 13 Italian centers between November 2015 and December 2020 was performed. All patients were assessed for toxicity and RECIST 1.1 response. Metastatic patients were evaluated for survival outcome. RESULTS 30 pancreatic cancer patients with gBRCA1/2 VUS were considered: 20 were M+ and 10 were non-M+. Pl-CT was recommended to 16 patients: 10 M+ (6 FOLFIRINOX and 4 PAXG) and 6 non-M+ (3 FOLFIRINOX and 3 PAXG); 11 patients received Nabpaclitaxel-Gemcitabine (AG; 8 M+) and 3 patients (2 M+) were treated with Gemcitabine (G). The RECIST 1.1 response rate was 27% for AG and 44% for Pl-CT (22% for (m) FOLFIRINOX and 71% PAXG). 1 year Progression-Free Survival was 37.5% for patients treated with AG and 33% in the Pl-CT subgroup. Median Overall Survival (OS) was 23.5 months for patients treated with AG and 14 months for the Pl-CT subgroup. 1 Year and 2 Year OS were numerically better for AG (1 Year OS: 75% vs 60% and 2 Year OS: 50% and 20% in AG and Pl-CT subgroups, respectively) as well. CONCLUSIONS Pl-CT does not seem to be associated with a better outcome compared to AG chemotherapy in PDAC patients with BRCA 1/2 VUS.
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Affiliation(s)
- Anna Maria Militello
- Department of Medical Oncology, IRCCS San Raffaele Scientific Institute, Vita-Salute University, Via Olgettina 60, 20123, Milan, Italy
- Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute, Milan, Italy
| | - Giulia Orsi
- Department of Medical Oncology, IRCCS San Raffaele Scientific Institute, Vita-Salute University, Via Olgettina 60, 20123, Milan, Italy
- Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Cavaliere
- Department of Oncology, University of Torino, Candiolo, Italy
- Candiolo Cancer Institute, FPO - IRCCS Candiolo, Candiolo, Italy
| | - Monica Niger
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Milan, Italy
| | - Antonio Avallone
- Biologia Cellulare e Bioterapie, Istituto Nazionale per lo Studio e la Cura dei Tumori ''Fondazione Giovanni Pascale'' - IRCCS, Naples, Italy
| | - Lisa Salvatore
- Unit of Medical Oncology, Comprehensive Cancer Center, Fondazione Policlinico Universitario, Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giampaolo Tortora
- Unit of Medical Oncology, Comprehensive Cancer Center, Fondazione Policlinico Universitario, Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Ilario Giovanni Rapposelli
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) ''Dino Amadori'', Meldola, Italy
| | - Guido Giordano
- Unit of Medical Oncology and Biomolecular Therapy, Policlinico Riuniti, Foggia, Italy
- Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Silvia Noventa
- Department of Medical Oncology, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
| | - Elisa Giommoni
- Medical Oncology Division, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Silvia Bozzarelli
- Department of Medical Oncology and Hematology, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Marina Macchini
- Department of Medical Oncology, IRCCS San Raffaele Scientific Institute, Vita-Salute University, Via Olgettina 60, 20123, Milan, Italy
- Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute, Milan, Italy
| | - Umberto Peretti
- Department of Medical Oncology, IRCCS San Raffaele Scientific Institute, Vita-Salute University, Via Olgettina 60, 20123, Milan, Italy
- Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute, Milan, Italy
| | - Letizia Procaccio
- Medical Oncology 1 Unit, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padua, Italy
| | - Alberto Puccini
- University of Genoa, Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Stefano Cascinu
- Department of Medical Oncology, IRCCS San Raffaele Scientific Institute, Vita-Salute University, Via Olgettina 60, 20123, Milan, Italy
- Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute, Milan, Italy
| | - Cristina Montagna
- Department of Radiation Oncology and Genomic Instability and Cancer Genetics, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Michele Milella
- Section of Oncology, Department of Medicine, University of Verona School of Medicine and Verona University Hospital Trust, Verona, Italy
| | - Michele Reni
- Department of Medical Oncology, IRCCS San Raffaele Scientific Institute, Vita-Salute University, Via Olgettina 60, 20123, Milan, Italy.
- Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute, Milan, Italy.
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5
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Chen E, Facio FM, Aradhya KW, Rojahn S, Hatchell KE, Aguilar S, Ouyang K, Saitta S, Hanson-Kwan AK, Capurro NN, Takamine E, Jamuar SS, McKnight D, Johnson B, Aradhya S. Rates and Classification of Variants of Uncertain Significance in Hereditary Disease Genetic Testing. JAMA Netw Open 2023; 6:e2339571. [PMID: 37878314 PMCID: PMC10600581 DOI: 10.1001/jamanetworkopen.2023.39571] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 09/12/2023] [Indexed: 10/26/2023] Open
Abstract
Importance Variants of uncertain significance (VUSs) are rampant in clinical genetic testing, frustrating clinicians, patients, and laboratories because the uncertainty hinders diagnoses and clinical management. A comprehensive assessment of VUSs across many disease genes is needed to guide efforts to reduce uncertainty. Objective To describe the sources, gene distribution, and population-level attributes of VUSs and to evaluate the impact of the different types of evidence used to reclassify them. Design, Setting, and Participants This cohort study used germline DNA variant data from individuals referred by clinicians for diagnostic genetic testing for hereditary disorders. Participants included individuals for whom gene panel testing was conducted between September 9, 2014, and September 7, 2022. Data were analyzed from September 1, 2022, to April 1, 2023. Main Outcomes and Measures The outcomes of interest were VUS rates (stratified by age; clinician-reported race, ethnicity, and ancestry groups; types of gene panels; and variant attributes), percentage of VUSs reclassified as benign or likely benign vs pathogenic or likely pathogenic, and enrichment of evidence types used for reclassifying VUSs. Results The study cohort included 1 689 845 individuals ranging in age from 0 to 89 years at time of testing (median age, 50 years), with 1 203 210 (71.2%) female individuals. There were 39 150 Ashkenazi Jewish individuals (2.3%), 64 730 Asian individuals (3.8%), 126 739 Black individuals (7.5%), 5539 French Canadian individuals (0.3%), 169 714 Hispanic individuals (10.0%), 5058 Native American individuals (0.3%), 2696 Pacific Islander individuals (0.2%), 4842 Sephardic Jewish individuals (0.3%), and 974 383 White individuals (57.7%). Among all individuals tested, 692 227 (41.0%) had at least 1 VUS and 535 385 (31.7%) had only VUS results. The number of VUSs per individual increased as more genes were tested, and most VUSs were missense changes (86.6%). More VUSs were observed per sequenced gene in individuals who were not from a European White population, in middle-aged and older adults, and in individuals who underwent testing for disorders with incomplete penetrance. Of 37 699 unique VUSs that were reclassified, 30 239 (80.2%) were ultimately categorized as benign or likely benign. A mean (SD) of 30.7 (20.0) months elapsed for VUSs to be reclassified to benign or likely benign, and a mean (SD) of 22.4 (18.9) months elapsed for VUSs to be reclassified to pathogenic or likely pathogenic. Clinical evidence contributed most to reclassification. Conclusions and Relevance This cohort study of approximately 1.6 million individuals highlighted the need for better methods for interpreting missense variants, increased availability of clinical and experimental evidence for variant classification, and more diverse representation of race, ethnicity, and ancestry groups in genomic databases. Data from this study could provide a sound basis for understanding the sources and resolution of VUSs and navigating appropriate next steps in patient care.
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Affiliation(s)
- Elaine Chen
- Invitae Corporation, San Francisco, California
| | | | | | | | | | | | | | - Sulagna Saitta
- Division of Clinical Genetics, Departments of Pediatrics and Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, California
| | | | - Nicole Nakousi Capurro
- School of Medicine, University of Valparaíso, Valparaíso, Chile
- Facultad de Medicina, Universidad Andrés Bello, Viña del Mar, Chile
| | - Eriko Takamine
- Department of Medical Genetics, Tokyo Medical and Dental University Hospital, Tokyo, Japan
| | - Saumya Shekhar Jamuar
- Genetics Service, KK Women’s and Children’s Hospital, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore
| | | | | | - Swaroop Aradhya
- Invitae Corporation, San Francisco, California
- Department of Pathology, Stanford University, Stanford, California
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6
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Bouras A, Guidara S, Leone M, Buisson A, Martin-Denavit T, Dussart S, Lasset C, Giraud S, Bonnet-Dupeyron MN, Kherraf ZE, Sanlaville D, Fert-Ferrer S, Lebrun M, Bonadona V, Calender A, Boutry-Kryza N. Overview of the Genetic Causes of Hereditary Breast and Ovarian Cancer Syndrome in a Large French Patient Cohort. Cancers (Basel) 2023; 15:3420. [PMID: 37444530 DOI: 10.3390/cancers15133420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/19/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
The use of multigene panel testing for patients with a predisposition to Hereditary Breast and Ovarian Cancer syndrome (HBOC) is increasing as the identification of mutations is useful for diagnosis and disease management. Here, we conducted a retrospective analysis of BRCA1/2 and non-BRCA gene sequencing in 4630 French HBOC suspected patients. Patients were investigated using a germline cancer panel including the 13 genes defined by The French Genetic and Cancer Group (GGC)-Unicancer. In the patients analyzed, 528 pathogenic and likely pathogenic variants (P/LP) were identified, including BRCA1 (n = 203, 38%), BRCA2 (n = 198, 37%), PALB2 (n = 46, 9%), RAD51C (n = 36, 7%), TP53 (n = 16, 3%), and RAD51D (n = 13, 2%). In addition, 35 novel (P/LP) variants, according to our knowledge, were identified, and double mutations in two distinct genes were found in five patients. Interestingly, retesting a subset of BRCA1/2-negative individuals with an expanded panel produced clinically relevant results in 5% of cases. Additionally, combining in silico (splicing impact prediction tools) and in vitro analyses (RT-PCR and Sanger sequencing) highlighted the deleterious impact of four candidate variants on splicing and translation. Our results present an overview of pathogenic variations of HBOC genes in the southeast of France, emphasizing the clinical relevance of cDNA analysis and the importance of retesting BRCA-negative individuals with an expanded panel.
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Affiliation(s)
- Ahmed Bouras
- Laboratory of Constitutional Genetics for Frequent Cancer HCL-CLB, Centre Léon Bérard, 69008 Lyon, France
- Team 'Endocrine Resistance, Methylation and Breast Cancer' Research Center of Lyon-CRCL, UMR Inserm 1052 CNRS 5286, 69008 Lyon, France
| | - Souhir Guidara
- Department of Genetics, Groupement Hospitalier EST, Hospices Civils de Lyon, 69500 Bron, France
- Department of Genetics, CHU Hédi Chaker, Sfax 3027, Tunisia
| | - Mélanie Leone
- Department of Genetics, Groupement Hospitalier EST, Hospices Civils de Lyon, 69500 Bron, France
| | - Adrien Buisson
- Department of Biopathology, Centre Léon Bérard, 69008 Lyon, France
| | - Tanguy Martin-Denavit
- Department of Genetics, Groupement Hospitalier EST, Hospices Civils de Lyon, 69500 Bron, France
- Center for Medical Genetics, Alpigène, 69007 Lyon, France
| | - Sophie Dussart
- Centre Léon Bérard, Unité de Prévention et Epidémiologie Génétique, 69008 Lyon, France
| | - Christine Lasset
- Centre Léon Bérard, Unité de Prévention et Epidémiologie Génétique, 69008 Lyon, France
| | - Sophie Giraud
- Department of Genetics, Groupement Hospitalier EST, Hospices Civils de Lyon, 69500 Bron, France
| | | | - Zine-Eddine Kherraf
- Institute for Advanced Biosciences, University Grenoble Alpes, INSERM, CNRS, 38000 Grenoble, France
- UM GI-DPI, University Hospital Grenoble Alpes, 38000 Grenoble, France
| | - Damien Sanlaville
- Department of Genetics, Groupement Hospitalier EST, Hospices Civils de Lyon, 69500 Bron, France
| | - Sandra Fert-Ferrer
- Genetics Departement, Centre Hospitalier Métropole Savoie, 73011 Chambery, France
| | - Marine Lebrun
- Department of Genetics, Saint Etienne University Hospital, 42270 Saint Priez en Jarez, France
| | - Valerie Bonadona
- Centre Léon Bérard, Unité de Prévention et Epidémiologie Génétique, 69008 Lyon, France
| | - Alain Calender
- Department of Genetics, Groupement Hospitalier EST, Hospices Civils de Lyon, 69500 Bron, France
| | - Nadia Boutry-Kryza
- Department of Genetics, Groupement Hospitalier EST, Hospices Civils de Lyon, 69500 Bron, France
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7
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Alghanim HM, Eltawel M, Alhaidari AI, Alobaid MM, Moghairi AM, Sufiani F, Ahmad N. Multiple synchronous malignancies in an infant with concomitant homozygous BRCA2 and PMS2 mutations with Fanconi anemia phenotype. Pediatr Hematol Oncol 2023; 40:587-594. [PMID: 36731423 DOI: 10.1080/08880018.2022.2154417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 11/07/2022] [Accepted: 11/20/2022] [Indexed: 02/04/2023]
Abstract
Hereditary cancer predisposition accounts for more than 10% of all cancers in pediatric age group and this is increasingly recognized as an important entity because of modern sequencing techniques. We report a rare association of two concurrent cancer predisposition syndromes, BRCA2 and PMS2, in a young child who presented with concurrent malignancies including Wilms tumor, myelodysplastic syndrome and an indeterminate brain lesion who succumbed to his disease. Multiple synchronous malignancies present difficult clinical and psycho-social challenges which need to be carefully addressed in the setting of a multi-disciplinary team approach.
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Affiliation(s)
- Hamad Mohammed Alghanim
- Department of Pediatric Hematology Oncology, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Mohamed Eltawel
- Department of Pediatric Hematology Oncology, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- Department of Pediatric Hematology & Oncology, King Abdullah Specialized Children's Hospital, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Abdulmajeed Ibrahim Alhaidari
- Department of Pediatric Hematology Oncology, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Muhannad Mohammed Alobaid
- Department of Pediatric Hematology Oncology, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Areej Mofareh Moghairi
- Department of Pediatric Hematology Oncology, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- Department of Pathology and Laboratory Medicine, King Abdulaziz Medical City, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Fahad Sufiani
- Department of Pediatric Hematology Oncology, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- Department of Pathology & Laboratory Medicine, King Abdulaziz Medical City, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Naveed Ahmad
- Department of Pediatric Hematology Oncology, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- Department of Pediatric Hematology & Oncology, King Abdullah Specialized Children's Hospital, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
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8
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Bang YJ, Kwon WK, Kim JW, Lee JE, Jung BY, Kim M, Kim J, An J, Jung SP, Kim HK, Kim Z, Youn HJ, Ryu JM, Kim SW. Comprehensive clinical characterization of patients with BRCA1: c.5017_5019del germline variant. Ann Surg Treat Res 2022; 103:323-330. [PMID: 36601340 PMCID: PMC9763777 DOI: 10.4174/astr.2022.103.6.323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/18/2022] [Accepted: 10/11/2022] [Indexed: 12/15/2022] Open
Abstract
Purpose We provide evidence for the reclassification of the BRCA1:c.5017_5019del variant by presenting the clinicopathological characteristics, clinical outcomes, and family history of breast or ovarian cancer in 17 patients with this variant. Methods This study included breast or ovarian cancer patients tested for BRCA1/2 genes between January 2008 and June 2020 at 10 medical centers in Korea. We retrospectively reviewed 17 probands from 15 families who had the BRCA1:c.5017_5019del variant according to the electronic medical records. Results We present 10 breast cancer patients and 7 ovarian cancer patients from 15 families identified as having BRCA1:c.5017_5019del and a total of 19 cases of breast cancer and 14 cases of ovarian cancer in these families. The ratio of breast-to-ovarian cancer was 1.3:1. Breast cancer patients with this variant showed a rich family history of breast or ovarian cancer, 8 patients (80.0%). The mean age at diagnosis was 45.4 years and 6 patients (60.0%) were categorized into hormone-receptor-negative breast cancer. Also, the ovarian cancer patients with this variant showed strong family histories of breast and/or ovarian cancer in 4 patients (57.1%). Conclusion We presented clinical evidence for the reclassification of BRCA1:c.5017_5019del as a likely pathogenic variant (LPV). Reclassification as LPV could result in the prophylactic treatment and medical surveillance of probands, family testing recommendations, and appropriate genetic counseling of their families.
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Affiliation(s)
- Yoon Ju Bang
- Department of Surgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Won Kyung Kwon
- Department of Laboratory and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong-Won Kim
- Department of Laboratory and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeong Eon Lee
- Division of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Boo Yeon Jung
- Breast Cancer Center, Samsung Medical Center, Seoul, Korea
| | - Mina Kim
- Breast Cancer Center, Samsung Medical Center, Seoul, Korea
| | - Jisun Kim
- Division of Breast Surgery, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jeongshin An
- Institute of Convergence Medicine Research, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, Korea
| | - Seung Pil Jung
- Division of Breast and Endocrine Surgery, Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Hong-Kyu Kim
- Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Zisun Kim
- Department of Surgery, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Hyun Jo Youn
- Department of Surgery, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Jai Min Ryu
- Division of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung-Won Kim
- Department of Surgery, Breast Care Center, Daerim St. Mary’s Hospital, Seoul, Korea
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9
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Ceyhan-Birsoy O, Jayakumaran G, Kemel Y, Misyura M, Aypar U, Jairam S, Yang C, Li Y, Mehta N, Maio A, Arnold A, Salo-Mullen E, Sheehan M, Syed A, Walsh M, Carlo M, Robson M, Offit K, Ladanyi M, Reis-Filho JS, Stadler ZK, Zhang L, Latham A, Zehir A, Mandelker D. Diagnostic yield and clinical relevance of expanded genetic testing for cancer patients. Genome Med 2022; 14:92. [PMID: 35971132 PMCID: PMC9377129 DOI: 10.1186/s13073-022-01101-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 08/03/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genetic testing (GT) for hereditary cancer predisposition is traditionally performed on selected genes based on established guidelines for each cancer type. Recently, expanded GT (eGT) using large hereditary cancer gene panels uncovered hereditary predisposition in a greater proportion of patients than previously anticipated. We sought to define the diagnostic yield of eGT and its clinical relevance in a broad cancer patient population over a 5-year period. METHODS A total of 17,523 cancer patients with a broad range of solid tumors, who received eGT at Memorial Sloan Kettering Cancer Center between July 2015 to April 2020, were included in the study. The patients were unselected for current GT criteria such as cancer type, age of onset, and/or family history of disease. The diagnostic yield of eGT was determined for each cancer type. For 9187 patients with five common cancer types frequently interrogated for hereditary predisposition (breast, colorectal, ovarian, pancreatic, and prostate cancer), the rate of pathogenic/likely pathogenic (P/LP) variants in genes that have been associated with each cancer type was analyzed. The clinical implications of additional findings in genes not known to be associated with a patients' cancer type were investigated. RESULTS 16.7% of patients in a broad cancer cohort had P/LP variants in hereditary cancer predisposition genes identified by eGT. The diagnostic yield of eGT in patients with breast, colorectal, ovarian, pancreatic, and prostate cancer was 17.5%, 15.3%, 24.2%, 19.4%, and 15.9%, respectively. Additionally, 8% of the patients with five common cancers had P/LP variants in genes not known to be associated with the patient's current cancer type, with 0.8% of them having such a variant that confers a high risk for another cancer type. Analysis of clinical and family histories revealed that 74% of patients with variants in genes not associated with their current cancer type but which conferred a high risk for another cancer did not meet the current GT criteria for the genes harboring these variants. One or more variants of uncertain significance were identified in 57% of the patients. CONCLUSIONS Compared to targeted testing approaches, eGT can increase the yield of detection of hereditary cancer predisposition in patients with a range of tumors, allowing opportunities for enhanced surveillance and intervention. The benefits of performing eGT should be weighed against the added number of VUSs identified with this approach.
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Affiliation(s)
- Ozge Ceyhan-Birsoy
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gowtham Jayakumaran
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yelena Kemel
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maksym Misyura
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Umut Aypar
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sowmya Jairam
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ciyu Yang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yirong Li
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nikita Mehta
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna Maio
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Angela Arnold
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Erin Salo-Mullen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Margaret Sheehan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Aijazuddin Syed
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael Walsh
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Carlo
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mark Robson
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zsofia K Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Liying Zhang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Present Address: Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA, USA
| | - Alicia Latham
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmet Zehir
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Present Address: Precision Medicine and Biosamples, Oncology R&D, AstraZeneca, New York, NY, USA.
| | - Diana Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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10
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A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants. Int J Mol Sci 2022; 23:ijms23147946. [PMID: 35887294 PMCID: PMC9322961 DOI: 10.3390/ijms23147946] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/09/2022] [Accepted: 07/15/2022] [Indexed: 12/12/2022] Open
Abstract
The rapid integration of genomic technologies in clinical diagnostics has resulted in the detection of a multitude of missense variants whose clinical significance is often unknown. As a result, a plethora of computational tools have been developed to facilitate variant interpretation. However, choosing an appropriate software from such a broad range of tools can be challenging; therefore, systematic benchmarking with high-quality, independent datasets is critical. Using three independent benchmarking datasets compiled from the ClinVar database, we evaluated the performance of ten widely used prediction algorithms with missense variants from 21 clinically relevant genes, including BRCA1 and BRCA2. A fourth dataset consisting of 1053 missense variants was also used to investigate the impact of type 1 circularity on their performance. The performance of the prediction algorithms varied widely across datasets. Based on Matthews Correlation Coefficient and Area Under the Curve, SNPs&GO and PMut consistently displayed an overall above-average performance across the datasets. Most of the tools demonstrated greater sensitivity and negative predictive values at the expense of lower specificity and positive predictive values. We also demonstrated that type 1 circularity significantly impacts the performance of these tools and, if not accounted for, may confound the selection of the best performing algorithms.
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11
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Burke W, Parens E, Chung WK, Berger SM, Appelbaum PS. The Challenge of Genetic Variants of Uncertain Clinical Significance : A Narrative Review. Ann Intern Med 2022; 175:994-1000. [PMID: 35436152 PMCID: PMC10555957 DOI: 10.7326/m21-4109] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Genomic tests expand diagnostic and screening opportunities but also identify genetic variants of uncertain clinical significance (VUSs). Only a minority of VUSs are likely to prove pathogenic when later reassessed, but resolution of the uncertainty is rarely timely. That uncertainty adds complexity to clinical decision making and can result in harms and costs to patients and the health care system, including the time-consuming analysis required to interpret a VUS and the potential for unnecessary treatment and adverse psychological effects. Current efforts to improve variant interpretation will help reduce the scope of the problem, but the high prevalence of rare and novel variants in the human genome points to VUSs as an ongoing challenge. Additional strategies can help mitigate the potential harms of VUSs, including testing protocols that limit identification or reporting of VUSs, subclassification of VUSs according to the likelihood of pathogenicity, routine family-based evaluation of variants, and enhanced counseling efforts. All involve tradeoffs, and the appropriate balance of measures is likely to vary for different test uses and clinical settings. Cross-specialty deliberation and public input could contribute to systematic and broadly supported policies for managing VUSs.
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Affiliation(s)
- Wylie Burke
- Department of Bioethics and Humanities, University of Washington, Seattle, WA, USA
| | | | - Wendy K. Chung
- Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Sara M. Berger
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Paul S. Appelbaum
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
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12
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Aljarf R, Shen M, Pires DEV, Ascher DB. Understanding and predicting the functional consequences of missense mutations in BRCA1 and BRCA2. Sci Rep 2022; 12:10458. [PMID: 35729312 PMCID: PMC9213547 DOI: 10.1038/s41598-022-13508-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 05/25/2022] [Indexed: 11/21/2022] Open
Abstract
BRCA1 and BRCA2 are tumour suppressor genes that play a critical role in maintaining genomic stability via the DNA repair mechanism. DNA repair defects caused by BRCA1 and BRCA2 missense variants increase the risk of developing breast and ovarian cancers. Accurate identification of these variants becomes clinically relevant, as means to guide personalized patient management and early detection. Next-generation sequencing efforts have significantly increased data availability but also the discovery of variants of uncertain significance that need interpretation. Experimental approaches used to measure the molecular consequences of these variants, however, are usually costly and time-consuming. Therefore, computational tools have emerged as faster alternatives for assisting in the interpretation of the clinical significance of newly discovered variants. To better understand and predict variant pathogenicity in BRCA1 and BRCA2, various machine learning algorithms have been proposed, however presented limited performance. Here we present BRCA1 and BRCA2 gene-specific models and a generic model for quantifying the functional impacts of single-point missense variants in these genes. Across tenfold cross-validation, our final models achieved a Matthew's Correlation Coefficient (MCC) of up to 0.98 and comparable performance of up to 0.89 across independent, non-redundant blind tests, outperforming alternative approaches. We believe our predictive tool will be a valuable resource for providing insights into understanding and interpreting the functional consequences of missense variants in these genes and as a tool for guiding the interpretation of newly discovered variants and prioritizing mutations for experimental validation.
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Affiliation(s)
- Raghad Aljarf
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia.,Department of Biochemistry and Pharmacology, University of Melbourne, Melbourne, VIC, 3010, Australia.,Systems and Computational Biology, Bio21 Institute, University of Melbourne, 30 Flemington Rd, Parkville, VIC, 3052, Australia
| | - Mengyuan Shen
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia.,Department of Biochemistry and Pharmacology, University of Melbourne, Melbourne, VIC, 3010, Australia.,Systems and Computational Biology, Bio21 Institute, University of Melbourne, 30 Flemington Rd, Parkville, VIC, 3052, Australia.,School of Computing and Information Systems, University of Melbourne, Melbourne, VIC, 3053, Australia
| | - Douglas E V Pires
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia. .,Department of Biochemistry and Pharmacology, University of Melbourne, Melbourne, VIC, 3010, Australia. .,Systems and Computational Biology, Bio21 Institute, University of Melbourne, 30 Flemington Rd, Parkville, VIC, 3052, Australia. .,School of Computing and Information Systems, University of Melbourne, Melbourne, VIC, 3053, Australia.
| | - David B Ascher
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia. .,Department of Biochemistry and Pharmacology, University of Melbourne, Melbourne, VIC, 3010, Australia. .,Systems and Computational Biology, Bio21 Institute, University of Melbourne, 30 Flemington Rd, Parkville, VIC, 3052, Australia. .,Department of Biochemistry, University of Cambridge, 80 Tennis Ct Rd, Cambridge, CB2 1GA, UK.
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13
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Boonen RA, Vreeswijk MP, van Attikum H. CHEK2 variants: linking functional impact to cancer risk. Trends Cancer 2022; 8:759-770. [DOI: 10.1016/j.trecan.2022.04.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 12/23/2022]
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14
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Mighton C, Lerner‐Ellis J. Principles of molecular testing for hereditary cancer. Genes Chromosomes Cancer 2022; 61:356-381. [DOI: 10.1002/gcc.23048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 04/03/2022] [Accepted: 04/06/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Chloe Mighton
- Laboratory Medicine and Pathology, Mount Sinai Hospital, Sinai Health Toronto ON Canada
- Lunenfeld Tanenbaum Research Institute, Sinai Health Toronto ON Canada
- Genomics Health Services Research Program Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto Toronto ON Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health University of Toronto Toronto ON Canada
| | - Jordan Lerner‐Ellis
- Laboratory Medicine and Pathology, Mount Sinai Hospital, Sinai Health Toronto ON Canada
- Lunenfeld Tanenbaum Research Institute, Sinai Health Toronto ON Canada
- Department of Laboratory Medicine and Pathobiology University of Toronto Toronto ON Canada
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15
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Ozgencil M, Barwell J, Tischkowitz M, Izatt L, Kesterton I, Simpson M, Sharpe P, de Sepulveda P, Voisset E, Solomon E. Assessing BRCA1 activity in DNA damage repair using human induced pluripotent stem cells as an approach to assist classification of BRCA1 variants of uncertain significance. PLoS One 2021; 16:e0260852. [PMID: 34855882 PMCID: PMC8638976 DOI: 10.1371/journal.pone.0260852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 11/18/2021] [Indexed: 12/24/2022] Open
Abstract
Establishing a universally applicable protocol to assess the impact of BRCA1 variants of uncertain significance (VUS) expression is a problem which has yet to be resolved despite major progresses have been made. The numerous difficulties which must be overcome include the choices of cellular models and functional assays. We hypothesised that the use of induced pluripotent stem (iPS) cells might facilitate the standardisation of protocols for classification, and could better model the disease process. We generated eight iPS cell lines from patient samples expressing either BRCA1 pathogenic variants, non-pathogenic variants, or BRCA1 VUSs. The impact of these variants on DNA damage repair was examined using a ɣH2AX foci formation assay, a Homologous Repair (HR) reporter assay, and a chromosome abnormality assay. Finally, all lines were tested for their ability to differentiate into mammary lineages in vitro. While the results obtained from the two BRCA1 pathogenic variants were consistent with published data, some other variants exhibited differences. The most striking of these was the BRCA1 variant Y856H (classified as benign), which was unexpectedly found to present a faulty HR repair pathway, a finding linked to the presence of an additional variant in the ATM gene. Finally, all lines were able to differentiate first into mammospheres, and then into more advanced mammary lineages expressing luminal- or basal-specific markers. This study stresses that BRCA1 genetic analysis alone is insufficient to establish a reliable and functional classification for assessment of clinical risk, and that it cannot be performed without considering the other genetic aberrations which may be present in patients. The study also provides promising opportunities for elucidating the physiopathology and clinical evolution of breast cancer, by using iPS cells.
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Affiliation(s)
- Meryem Ozgencil
- Department of Medical & Molecular Genetics, King’s College London, Faculty of Life Sciences & Medicine, London, United Kingdom
| | - Julian Barwell
- Department of Genetics and Genome Biology at the University of Leicester, Leicester, United Kingdom
| | - Marc Tischkowitz
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Louise Izatt
- Clinical Genetics, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Ian Kesterton
- Cytogenetics Laboratory, Viapath Analytics, Guy’s and St. Thomas’ NHS Foundation Trust, Guy’s Hospital, London, United Kingdom
| | - Michael Simpson
- Department of Medical & Molecular Genetics, King’s College London, Faculty of Life Sciences & Medicine, London, United Kingdom
| | - Paul Sharpe
- Department of Craniofacial Development & Stem Cell Biology, King’s College London, London, United Kingdom
| | - Paulo de Sepulveda
- Signaling Hematopoiesis and Mechanism of Oncogenesis Lab, INSERM, CNRS, Institut Paoli-Calmettes, CRCM, Aix Marseille University, Marseille, France
| | - Edwige Voisset
- Department of Medical & Molecular Genetics, King’s College London, Faculty of Life Sciences & Medicine, London, United Kingdom
- * E-mail: (EV); (ES)
| | - Ellen Solomon
- Department of Medical & Molecular Genetics, King’s College London, Faculty of Life Sciences & Medicine, London, United Kingdom
- * E-mail: (EV); (ES)
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