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Linga BG, Mohammed SGAA, Farrell T, Rifai HA, Al-Dewik N, Qoronfleh MW. Genomic Newborn Screening for Pediatric Cancer Predisposition Syndromes: A Holistic Approach. Cancers (Basel) 2024; 16:2017. [PMID: 38893137 PMCID: PMC11171256 DOI: 10.3390/cancers16112017] [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: 04/19/2024] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
As next-generation sequencing (NGS) has become more widely used, germline and rare genetic variations responsible for inherited illnesses, including cancer predisposition syndromes (CPSs) that account for up to 10% of childhood malignancies, have been found. The CPSs are a group of germline genetic disorders that have been identified as risk factors for pediatric cancer development. Excluding a few "classic" CPSs, there is no agreement regarding when and how to conduct germline genetic diagnostic studies in children with cancer due to the constant evolution of knowledge in NGS technologies. Various clinical screening tools have been suggested to aid in the identification of individuals who are at greater risk, using diverse strategies and with varied outcomes. We present here an overview of the primary clinical and molecular characteristics of various CPSs and summarize the existing clinical genomics data on the prevalence of CPSs in pediatric cancer patients. Additionally, we discuss several ethical issues, challenges, limitations, cost-effectiveness, and integration of genomic newborn screening for CPSs into a healthcare system. Furthermore, we assess the effectiveness of commonly utilized decision-support tools in identifying patients who may benefit from genetic counseling and/or direct genetic testing. This investigation highlights a tailored and systematic approach utilizing medical newborn screening tools such as the genome sequencing of high-risk newborns for CPSs, which could be a practical and cost-effective strategy in pediatric cancer care.
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Affiliation(s)
- BalaSubramani Gattu Linga
- Department of Research, Women’s Wellness and Research Center, Hamad Medical Corporation (HMC), P.O. Box 3050, Doha 0974, Qatar
- Translational and Precision Medicine Research, Women’s Wellness and Research Center (WWRC), Hamad Medical Corporation (HMC), Doha 0974, Qatar
| | | | - Thomas Farrell
- Department of Research, Women’s Wellness and Research Center, Hamad Medical Corporation (HMC), P.O. Box 3050, Doha 0974, Qatar
| | - Hilal Al Rifai
- Neonatal Intensive Care Unit (NICU), Newborn Screening Unit, Department of Pediatrics and Neonatology, Women’s Wellness and Research Center (WWRC), Hamad Medical Corporation (HMC), Doha 0974, Qatar
| | - Nader Al-Dewik
- Department of Research, Women’s Wellness and Research Center, Hamad Medical Corporation (HMC), P.O. Box 3050, Doha 0974, Qatar
- Translational and Precision Medicine Research, Women’s Wellness and Research Center (WWRC), Hamad Medical Corporation (HMC), Doha 0974, Qatar
- Neonatal Intensive Care Unit (NICU), Newborn Screening Unit, Department of Pediatrics and Neonatology, Women’s Wellness and Research Center (WWRC), Hamad Medical Corporation (HMC), Doha 0974, Qatar
- Genomics and Precision Medicine (GPM), College of Health & Life Science (CHLS), Hamad Bin Khalifa University (HBKU), Doha 0974, Qatar
- Faculty of Health and Social Care Sciences, Kingston University and St George’s University of London, Kingston upon Thames, Surrey, London KT1 2EE, UK
| | - M. Walid Qoronfleh
- Healthcare Research & Policy Division, Q3 Research Institute (QRI), Ann Arbor, MI 48197, USA
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Garcia ABDM, Viola GD, Corrêa BDS, Fischer TDS, Pinho MCDF, Rodrigues GM, Ashton-Prolla P, Rosset C. An overview of actionable and potentially actionable TSC1 and TSC2 germline variants in an online Database. Genet Mol Biol 2024; 46:e20230132. [PMID: 38373162 PMCID: PMC10876083 DOI: 10.1590/1678-4685-gmb-2023-0132] [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: 05/03/2023] [Accepted: 11/26/2023] [Indexed: 02/21/2024] Open
Abstract
Tuberous Sclerosis Complex (TSC) is caused by loss of function germline variants in the TSC1 or TSC2 tumor suppressor genes. Genetic testing for the detection of pathogenic variants in either TSC1 or TSC2 was implemented as a diagnostic criterion for TSC. However, TSC molecular diagnosis can be challenging due to the absence of variant hotspots and the high number of variants described. This review aimed to perform an overview of TSC1/2 variants submitted in the ClinVar database. Variants of uncertain significance (VUS), missense and single nucleotide variants were the most frequent in clinical significance (37-40%), molecular consequence (37%-39%) and variation type (82%-83%) categories in ClinVar in TSC1 and TSC2 variants, respectively. Frameshift and nonsense VUS have potential for pathogenic reclassification if further functional and segregation studies were performed. Indeed, there were few functional assays deposited in the database and literature. In addition, we did not observe hotspots for variation and many variants presented conflicting submissions regarding clinical significance. This study underscored the importance of disseminating molecular diagnostic results in a public database to render the information largely accessible and promote accurate diagnosis. We encourage the performance of functional studies evaluating the pathogenicity of TSC1/2 variants.
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Affiliation(s)
- Arthur Bandeira de Mello Garcia
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Departamento de Genética, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
| | - Guilherme Danielski Viola
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Departamento de Genética, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
| | - Bruno da Silveira Corrêa
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Departamento de Genética, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
| | - Taís da Silveira Fischer
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
| | - Maria Clara de Freitas Pinho
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Centro Universitário CESUCA, Cachoeirinha, RS, Brazil
| | - Grazielle Motta Rodrigues
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Ciências Médicas, Porto Alegre, RS, Brazil
| | - Patricia Ashton-Prolla
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Departamento de Genética, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Ciências Médicas, Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Serviço de Genética Médica, Porto Alegre, RS, Brazil
| | - Clévia Rosset
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Experimental, Laboratório de Medicina Genômica, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Ciências Médicas, Porto Alegre, RS, Brazil
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Barili V, Ambrosini E, Bortesi B, Minari R, De Sensi E, Cannizzaro IR, Taiani A, Michiara M, Sikokis A, Boggiani D, Tommasi C, Serra O, Bonatti F, Adorni A, Luberto A, Caggiati P, Martorana D, Uliana V, Percesepe A, Musolino A, Pellegrino B. Genetic Basis of Breast and Ovarian Cancer: Approaches and Lessons Learnt from Three Decades of Inherited Predisposition Testing. Genes (Basel) 2024; 15:219. [PMID: 38397209 PMCID: PMC10888198 DOI: 10.3390/genes15020219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
Germline variants occurring in BRCA1 and BRCA2 give rise to hereditary breast and ovarian cancer (HBOC) syndrome, predisposing to breast, ovarian, fallopian tube, and peritoneal cancers marked by elevated incidences of genomic aberrations that correspond to poor prognoses. These genes are in fact involved in genetic integrity, particularly in the process of homologous recombination (HR) DNA repair, a high-fidelity repair system for mending DNA double-strand breaks. In addition to its implication in HBOC pathogenesis, the impairment of HR has become a prime target for therapeutic intervention utilizing poly (ADP-ribose) polymerase (PARP) inhibitors. In the present review, we introduce the molecular roles of HR orchestrated by BRCA1 and BRCA2 within the framework of sensitivity to PARP inhibitors. We examine the genetic architecture underneath breast and ovarian cancer ranging from high- and mid- to low-penetrant predisposing genes and taking into account both germline and somatic variations. Finally, we consider higher levels of complexity of the genomic landscape such as polygenic risk scores and other approaches aiming to optimize therapeutic and preventive strategies for breast and ovarian cancer.
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Affiliation(s)
- Valeria Barili
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
| | - Enrico Ambrosini
- Medical Genetics, University Hospital of Parma, 43126 Parma, Italy
| | - Beatrice Bortesi
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Roberta Minari
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Erika De Sensi
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
| | | | - Antonietta Taiani
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
| | - Maria Michiara
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Angelica Sikokis
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Daniela Boggiani
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Chiara Tommasi
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Olga Serra
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Francesco Bonatti
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Alessia Adorni
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Anita Luberto
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
| | | | - Davide Martorana
- Medical Genetics, University Hospital of Parma, 43126 Parma, Italy
| | - Vera Uliana
- Medical Genetics, University Hospital of Parma, 43126 Parma, Italy
| | - Antonio Percesepe
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
- Medical Genetics, University Hospital of Parma, 43126 Parma, Italy
| | - Antonino Musolino
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Benedetta Pellegrino
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
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Block I, Mateu-Regué À, Do TTN, Miceikaite I, Sdogati D, Larsen MJ, Hao Q, Nielsen HR, Boonen SE, Skytte AB, Jensen UB, Høffding LK, De Nicolo A, Viel A, Tudini E, Parsons MT, Hansen TVO, Rossing M, Kruse TA, Spurdle AB, Thomassen M. Male with an apparently normal phenotype carrying a BRCA1 exon 20 duplication in trans to a BRCA1 frameshift variant. Breast Cancer Res 2024; 26:6. [PMID: 38195559 PMCID: PMC10775606 DOI: 10.1186/s13058-023-01755-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/16/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Reports of dual carriers of pathogenic BRCA1 variants in trans are extremely rare, and so far, most individuals have been associated with a Fanconi Anemia-like phenotype. METHODS We identified two families with a BRCA1 in-frame exon 20 duplication (Ex20dup). In one male individual, the variant was in trans with the BRCA1 frameshift variant c.2475delC p.(Asp825Glufs*21). We performed splicing analysis and used a transcription activation domain (TAD) assay to assess the functional impact of Ex20dup. We collected pedigrees and mapped the breakpoints of the duplication by long- and short-read genome sequencing. In addition, we performed a mitomycin C (MMC) assay from the dual carrier using cultured lymphoblastoid cells. RESULTS Genome sequencing and RNA analysis revealed the BRCA1 exon 20 duplication to be in tandem. The duplication was expressed without skipping any one of the two exon 20 copies, resulting in a lack of wild-type transcripts from this allele. TAD assay indicated that the Ex20dup variant has a functional level similar to the well-known moderate penetrant pathogenic BRCA1 variant c.5096G > A p.(Arg1699Gln). MMC assay of the dual carrier indicated a slightly impaired chromosomal repair ability. CONCLUSIONS This is the first reported case where two BRCA1 variants with demonstrated functional impact are identified in trans in a male patient with an apparently normal clinical phenotype and no BRCA1-associated cancer. The results pinpoint a minimum necessary BRCA1 protein activity to avoid a Fanconi Anemia-like phenotype in compound heterozygous status and yet still predispose carriers to hormone-related cancers. These findings urge caution when counseling families regarding potential Fanconi Anemia risk. Furthermore, prudence should be taken when classifying individual variants as benign based on co-occurrence in trans with well-established pathogenic variants.
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Affiliation(s)
- Ines Block
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Institute of Pharmacology and Clinical Pharmacy, University of Marburg, Marburg, Germany
| | - Àngels Mateu-Regué
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Thi Tuyet Nhu Do
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Ieva Miceikaite
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Clinical Genome Center, Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Daniel Sdogati
- Lundbeckfonden Center of Excellence NanoCAN, Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
- Molecular Oncology, Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Martin J Larsen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Clinical Genome Center, Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Qin Hao
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Clinical Genome Center, Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | | | - Susanne E Boonen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Anne-Bine Skytte
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Uffe Birk Jensen
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Louise K Høffding
- Center for Clinical Genetics and Genomic Diagnostics, Zealand University Hospital, Roskilde, Denmark
| | - Arcangela De Nicolo
- Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandra Viel
- Unit of Functional Oncogenetics and Genomics, Centro Di Riferimento Oncologico Di Aviano (CRO) IRCCS, Aviano, (PN), Italy
| | - Emma Tudini
- Population Health Program, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
| | - Michael T Parsons
- Population Health Program, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
| | - Thomas V O Hansen
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maria Rossing
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben A Kruse
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Clinical Genome Center, Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Amanda B Spurdle
- Population Health Program, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
| | - Mads Thomassen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
- Clinical Genome Center, Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
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5
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Association of location of BRCA1 and BRCA2 mutations with benefit from olaparib and bevacizumab maintenance in high-grade ovarian cancer: phase III PAOLA-1/ENGOT-ov25 trial subgroup exploratory analysis. Ann Oncol 2023; 34:152-162. [PMID: 36564284 DOI: 10.1016/j.annonc.2022.11.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 09/15/2022] [Accepted: 11/08/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND In the phase III PAOLA-1 study, the addition of maintenance olaparib to bevacizumab in patients with newly diagnosed high-grade ovarian cancer (HGOC) resulted in prolonged progression-free survival (PFS), particularly for homologous recombination deficiency-positive tumors, including those with a BRCA mutation (BRCAm). The magnitude of benefit from olaparib and bevacizumab according to the location of mutation in BRCA1/BRCA2 remains to be explored. PATIENTS AND METHODS Patients with advanced-stage HGOC responding after platinum-based chemotherapy + bevacizumab received maintenance therapy bevacizumab (15 mg/kg q3w for 15 months) + either olaparib (300 mg b.i.d. for 24 months) or placebo. PFS was analyzed in the subgroup of patients with BRCA1m/BRCA2m according to mutation location in the functional domains of BRCA1 [Really Interesting Gene (RING), DNA-binding domain (DBD), or C-terminal domain of BRCA1 (BRCT)] and BRCA2 [RAD51-binding domain (RAD51-BD); DBD]. RESULTS From 806 randomized patients, 159 harbored BRCA1m (19.7%) and 74 BRCA2m (9.2%). BRCA1m in RING, DBD, and BRCT domains was detected in 18, 40, and 33 patients, and BRCA2m in RAD51-BD and DBD in 36 and 13 patients, respectively. After a median follow-up of 25.5 months, benefit from maintenance olaparib + bevacizumab was observed irrespective of location of BRCAm. The benefit was particularly high for those with BRCA1m located in the DBD, with 24-month PFS estimated to be 89% and 15% [olaparib + bevacizumab versus placebo + bevacizumab hazard ratio = 0.08 (95% confidence interval 0.02-0.28); interaction P = 0.03]. In BRCA2m patients, 24-month PFS rates for those with mutations located in the DBD were 90% and 100% (olaparib + bevacizumab versus placebo + bevacizumab), respectively. CONCLUSIONS Advanced-stage BRCA-mutated HGOC patients reported PFS benefit from maintenance olaparib and bevacizumab regardless of mutation location. The benefit is particularly high for patients with mutations located in the DBD of BRCA1. Mutations located in the DBD of BRCA2 are also associated with excellent outcome.
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6
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Functional Analysis of Variants in BRCA1 Using CRISPR Base Editors. Methods Mol Biol 2023; 2606:73-85. [PMID: 36592309 DOI: 10.1007/978-1-0716-2879-9_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
To date, methods such as fluorescent reporter assays, embryonic stem cell viability assays, and therapeutic drug-based sensitivity assays have been used to evaluate the function of the variants of uncertain significance (VUS) of the BRCA genes. However, these methods have limitations as they are associated with overexpression and do not apply to post-transcriptional regulation. Therefore, there are several VUS whose functions are unclear. Recently, we devised a new way to assess the functionality of variants in BRCA1 via a CRISPR-mediated base editor to overcome these limitations. We precisely introduced the target nucleotide substitution in living cells and identified variants whose functions were not defined. Here, we describe the methods for the functional appraisal of BRCA1 variants using CRISPR-based base editors.
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7
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Nepomuceno TC, Dos Santos APP, Fernandes VC, Elias ABR, Gomes TT, Suarez-Kurtz G, Iversen ES, Couch FJ, Monteiro ANA, Carvalho MA. Assessment of small in-frame indels and C-terminal nonsense variants of BRCA1 using a validated functional assay. Sci Rep 2022; 12:16203. [PMID: 36171434 PMCID: PMC9519549 DOI: 10.1038/s41598-022-20500-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 09/14/2022] [Indexed: 11/29/2022] Open
Abstract
BRCA1 (Breast Cancer 1, early onset) is linked to breast and ovarian cancer predisposition. Still, the risks conferred by a significant portion of BRCA1 variants identified in the population remains unknown. Most of these variants of uncertain significance are missense alterations. However, the functional implications of small in-frame deletions and/or insertions (indels) are also difficult to predict. Our group has previously evaluated the functional impact of 347 missense variants using an extensively validated transcriptional activity assay. Here we show a systematic assessment of 30 naturally occurring in-frame indels located at the C-terminal region of BRCA1. We identified positions sensitive and tolerant to alterations, expanding the knowledge of structural determinants of BRCA1 function. We further designed and assessed the impact of four single codon deletions in the tBRCT linker region and six nonsense variants at the C-terminus end of BRCA1. Amino acid substitutions, deletions or insertions in the disordered region do not significantly impact activity and are not likely to constitute pathogenic alleles. On the other hand, a sizeable fraction of in-frame indels at the BRCT domain significantly impact function. We then use a Bayesian integrative statistical model to derive the probability of pathogenicity for each variant. Our data highlights the importance of assessing the impact of small in-frame indels in BRCA1 to improve risk assessment and clinical decisions for carriers.
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Affiliation(s)
- Thales C Nepomuceno
- Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro, 20230-130, Brazil.,Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Ana P P Dos Santos
- Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro, 20230-130, Brazil
| | - Vanessa C Fernandes
- Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro, 20230-130, Brazil
| | - Anna B R Elias
- Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro, 20230-130, Brazil
| | - Thiago T Gomes
- Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro, 20230-130, Brazil
| | - Guilherme Suarez-Kurtz
- Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro, 20230-130, Brazil
| | - Edwin S Iversen
- Department of Statistical Science, Duke University, Durham, NC, 27708, USA
| | | | - Alvaro N A Monteiro
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA.
| | - Marcelo A Carvalho
- Divisão de Pesquisa Clínica, Instituto Nacional de Câncer, Rio de Janeiro, 20230-130, Brazil. .,Laboratório de Genética Molecular, Instituto Federal Do Rio de Janeiro, Rua Senador Furtado, Campus Rio de Janeiro121, Rio de Janeiro, RJ, 20270-021, Brazil.
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8
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Bellè F, Mercatanti A, Lodovichi S, Congregati C, Guglielmi C, Tancredi M, Caligo MA, Cervelli T, Galli A. Validation and Data-Integration of Yeast-Based Assays for Functional Classification of BRCA1 Missense Variants. Int J Mol Sci 2022; 23:ijms23074049. [PMID: 35409408 PMCID: PMC8999655 DOI: 10.3390/ijms23074049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 04/01/2022] [Accepted: 04/03/2022] [Indexed: 11/23/2022] Open
Abstract
Germline mutations in the BRCA1 gene have been reported to increase the lifetime risk of developing breast and/or ovarian cancer (BOC). By new sequencing technologies, numerous variants of uncertain significance (VUS) are identified. It is mandatory to develop new tools to evaluate their functional impact and pathogenicity. As the expression of pathogenic BRCA1 variants in Saccharomyces cerevisiae increases the frequency of intra- and inter-chromosomal homologous recombination (HR), and gene reversion (GR), we validated the two HR and the GR assays by testing 23 benign and 23 pathogenic variants and compared the results with those that were obtained in the small colony phenotype (SCP) assay, an additional yeast-based assay, that was validated previously. We demonstrated that they scored high accuracy, sensitivity, and sensibility. By using a classifier that was based on majority of voting, we have integrated data from HR, GR, and SCP assays and developed a reliable method, named yBRCA1, with high sensitivity to obtain an accurate VUS functional classification (benign or pathogenic). The classification of BRCA1 variants, important for assessing the risk of developing BOC, is often difficult to establish with genetic methods because they occur rarely in the population. This study provides a new tool to get insights on the functional impact of the BRCA1 variants.
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Affiliation(s)
- Francesca Bellè
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
| | - Alberto Mercatanti
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
| | - Samuele Lodovichi
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
| | - Caterina Congregati
- Division of Internal Medicine, University Hospital of Pisa, 56125 Pisa, Italy;
| | - Chiara Guglielmi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, 56125 Pisa, Italy; (C.G.); (M.T.)
| | - Mariella Tancredi
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, 56125 Pisa, Italy; (C.G.); (M.T.)
| | - Maria Adelaide Caligo
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, 56125 Pisa, Italy; (C.G.); (M.T.)
- Correspondence: (M.A.C.); (A.G.)
| | - Tiziana Cervelli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
| | - Alvaro Galli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR via Moruzzi 1, 56125 Pisa, Italy; (F.B.); (A.M.); (S.L.); (T.C.)
- Correspondence: (M.A.C.); (A.G.)
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Fanale D, Pivetti A, Cancelliere D, Spera A, Bono M, Fiorino A, Pedone E, Barraco N, Brando C, Perez A, Guarneri MF, Russo TDB, Vieni S, Guarneri G, Russo A, Bazan V. BRCA1/2 variants of unknown significance in hereditary breast and ovarian cancer (HBOC) syndrome: looking for the hidden meaning. Crit Rev Oncol Hematol 2022; 172:103626. [PMID: 35150867 DOI: 10.1016/j.critrevonc.2022.103626] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/28/2022] [Accepted: 02/07/2022] [Indexed: 01/04/2023] Open
Abstract
Hereditary breast and ovarian cancer syndrome is caused by germline mutations in BRCA1/2 genes. These genes are very large and their mutations are heterogeneous and scattered throughout the coding sequence. In addition to the above-mentioned mutations, variants of uncertain/unknown significance (VUSs) have been identified in BRCA genes, which make more difficult the clinical management of the patient and risk assessment. In the last decades, several laboratories have developed different databases that contain more than 2000 variants for the two genes and integrated strategies which include multifactorial prediction models based on direct and indirect genetic evidence, to classify the VUS and attribute them a clinical significance associated with a deleterious, high-low or neutral risk. This review provides a comprehensive overview of literature studies concerning the VUSs, in order to assess their impact on the population and provide new insight for the appropriate patient management in clinical practice.
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Affiliation(s)
- Daniele Fanale
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | - Alessia Pivetti
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | - Daniela Cancelliere
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | - Antonio Spera
- Department of Radiotherapy, San Giovanni di Dio Hospital, ASP of Agrigento, Agrigento, Italy
| | - Marco Bono
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | - Alessia Fiorino
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | - Erika Pedone
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | - Nadia Barraco
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | - Chiara Brando
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | - Alessandro Perez
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | | | - Tancredi Didier Bazan Russo
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy
| | - Salvatore Vieni
- Division of General and Oncological Surgery, Department of Surgical, Oncological and Oral Sciences, University of Palermo, Italy
| | - Girolamo Guarneri
- Gynecology Section, Mother - Child Department, University of Palermo, 90127 Palermo, Italy
| | - Antonio Russo
- Section of Medical Oncology, Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy.
| | - Viviana Bazan
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy
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10
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OUP accepted manuscript. FEMS Yeast Res 2022; 22:6574410. [DOI: 10.1093/femsyr/foac021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 03/15/2022] [Accepted: 04/11/2022] [Indexed: 11/14/2022] Open
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11
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Caputo SM, Golmard L, Léone M, Damiola F, Guillaud-Bataille M, Revillion F, Rouleau E, Derive N, Buisson A, Basset N, Schwartz M, Vilquin P, Garrec C, Privat M, Gay-Bellile M, Abadie C, Abidallah K, Airaud F, Allary AS, Barouk-Simonet E, Belotti M, Benigni C, Benusiglio PR, Berthemin C, Berthet P, Bertrand O, Bézieau S, Bidart M, Bignon YJ, Birot AM, Blanluet M, Bloucard A, Bombled J, Bonadona V, Bonnet F, Bonnet-Dupeyron MN, Boulaire M, Boulouard F, Bouras A, Bourdon V, Brahimi A, Brayotel F, Bressac de Paillerets B, Bronnec N, Bubien V, Buecher B, Cabaret O, Carriere J, Chiesa J, Chieze-Valéro S, Cohen C, Cohen-Haguenauer O, Colas C, Collonge-Rame MA, Conoy AL, Coulet F, Coupier I, Crivelli L, Cusin V, De Pauw A, Dehainault C, Delhomelle H, Delnatte C, Demontety S, Denizeau P, Devulder P, Dreyfus H, d’Enghein CD, Dupré A, Durlach A, Dussart S, Fajac A, Fekairi S, Fert-Ferrer S, Fiévet A, Fouillet R, Mouret-Fourme E, Gauthier-Villars M, Gesta P, Giraud S, Gladieff L, Goldbarg V, Goussot V, Guibert V, Guillerm E, Guy C, Hardouin A, Heude C, Houdayer C, Ingster O, Jacquot-Sawka C, Jones N, Krieger S, Lacoste S, Lallaoui H, Larbre H, Laugé A, Le Guyadec G, Le Mentec M, Lecerf C, Le Gall J, Legendre B, Legrand C, Legros A, Lejeune S, Lidereau R, Lignon N, Limacher JM, Doriane Livon, Lizard S, Longy M, Lortholary A, Macquere P, Mailliez A, Malsa S, Margot H, Mari V, Maugard C, Meira C, Menjard J, Molière D, Moncoutier V, Moretta-Serra J, Muller E, Nevière Z, Nguyen Minh Tuan TV, Noguchi T, Noguès C, Oca F, Popovici C, Prieur F, Raad S, Rey JM, Ricou A, Salle L, Saule C, Sevenet N, Simaga F, Sobol H, Suybeng V, Tennevet I, Tenreiro H, Tinat J, Toulas C, Turbiez I, Uhrhammer N, Vande Perre P, Vaur D, Venat L, Viellard N, Villy MC, Warcoin M, Yvard A, Zattara H, Caron O, Lasset C, Remenieras A, Boutry-Kryza N, Castéra L, Stoppa-Lyonnet D. Classification of 101 BRCA1 and BRCA2 variants of uncertain significance by cosegregation study: A powerful approach. Am J Hum Genet 2021; 108:1907-1923. [PMID: 34597585 DOI: 10.1016/j.ajhg.2021.09.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/01/2021] [Indexed: 12/18/2022] Open
Abstract
Up to 80% of BRCA1 and BRCA2 genetic variants remain of uncertain clinical significance (VUSs). Only variants classified as pathogenic or likely pathogenic can guide breast and ovarian cancer prevention measures and treatment by PARP inhibitors. We report the first results of the ongoing French national COVAR (cosegregation variant) study, the aim of which is to classify BRCA1/2 VUSs. The classification method was a multifactorial model combining different associations between VUSs and cancer, including cosegregation data. At this time, among the 653 variants selected, 101 (15%) distinct variants shared by 1,624 families were classified as pathogenic/likely pathogenic or benign/likely benign by the COVAR study. Sixty-six of the 101 (65%) variants classified by COVAR would have remained VUSs without cosegregation data. Of note, among the 34 variants classified as pathogenic by COVAR, 16 remained VUSs or likely pathogenic when following the ACMG/AMP variant classification guidelines. Although the initiation and organization of cosegregation analyses require a considerable effort, the growing number of available genetic tests results in an increasing number of families sharing a particular variant, and thereby increases the power of such analyses. Here we demonstrate that variant cosegregation analyses are a powerful tool for the classification of variants in the BRCA1/2 breast-ovarian cancer predisposition genes.
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12
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Pulver EM, Mukherjee C, van de Kamp G, Roobol SJ, Rother MB, van der Gulden H, de Bruijn R, Lattanzio MV, van der Burg E, Drenth AP, Verkaik NS, Hahn K, Klarenbeek S, de Korte-Grimmerink R, van de Ven M, Pritchard CEJ, Huijbers IJ, Xia B, van Gent DC, Essers J, van Attikum H, Ray Chaudhuri A, Bouwman P, Jonkers J. A BRCA1 coiled-coil domain variant disrupting PALB2 interaction promotes the development of mammary tumors and confers a targetable defect in homologous recombination repair. Cancer Res 2021; 81:6171-6182. [PMID: 34548335 PMCID: PMC7612117 DOI: 10.1158/0008-5472.can-21-1415] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 08/21/2021] [Accepted: 09/20/2021] [Indexed: 11/16/2022]
Abstract
The BRCA1 tumor suppressor gene encodes a multi-domain protein for which several functions have been described. These include a key role in homologous recombination repair (HRR) of DNA double-strand breaks (DSB), which is shared with two other high-risk hereditary breast cancer suppressors, BRCA2 and PALB2. Although both BRCA1 and BRCA2 interact with PALB2, BRCA1 missense variants affecting its PALB2-interacting coiled-coil domain are considered variants of uncertain clinical significance (VUS). Using genetically engineered mice, we show here that a BRCA1 coiled-coil domain VUS, Brca1 p.L1363P, disrupts the interaction with PALB2 and leads to embryonic lethality. Brca1 p.L1363P led to a similar acceleration in the development of Trp53-deficient mammary tumors as Brca1 loss, but the tumors showed distinct histopathological features, with more stable DNA copy number profiles in Brca1 p.L1363P tumors. Nevertheless, Brca1 p.L1363P mammary tumors were HRR-incompetent and responsive to cisplatin and PARP inhibition. Overall, these results provide the first direct evidence that a BRCA1 missense variant outside of the RING and BRCT domains increases the risk of breast cancer.
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Affiliation(s)
- Emilia M Pulver
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute
| | | | | | - Stefan J Roobol
- Molecular Genetics, Radiology and Nuclear Medicine, Erasmus MC
| | | | - Hanneke van der Gulden
- Division of Molecular Pathology and Cancer Genomics Centre, The Netherlands Cancer Institute
| | - Roebi de Bruijn
- Division of Molecular Pathology, The Netherlands Cancer Institute
| | | | | | | | | | - Kerstin Hahn
- Molecular Pathology, Oncode Institute-Netherlands Cancer Institute
| | | | - Renske de Korte-Grimmerink
- Mouse Clinic for Cancer and Aging (MCCA) Preclinical Intervention Unit, The Netherlands Cancer Institute
| | - Marieke van de Ven
- Mouse Clinic for Cancer and Aging (MCCA) Preclinical Intervention Unit, The Netherlands Cancer Institute
| | | | - Ivo J Huijbers
- Transgenic core facility, Mouse Clinic for Cancer and Aging (MCCA), The Netherlands Cancer Institute
| | - Bing Xia
- Radiation Oncology, Rutgers Cancer Institute of New Jersey
| | - Dik C van Gent
- Molecular Genetics, Erasmus MC University Medical Center Rotterdam and Oncode Institute, The Netherlands
| | | | | | | | - Peter Bouwman
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research
| | - Jos Jonkers
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute
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13
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Guglielmi C, Scarpitta R, Gambino G, Conti E, Bellè F, Tancredi M, Cervelli T, Falaschi E, Cosini C, Aretini P, Congregati C, Marino M, Patruno M, Pilato B, Spina F, Balestrino L, Tenedini E, Carnevali I, Cortesi L, Tagliafico E, Tibiletti MG, Tommasi S, Ghilli M, Vivanet C, Galli A, Caligo MA. Detection of Germline Variants in 450 Breast/Ovarian Cancer Families with a Multi-Gene Panel Including Coding and Regulatory Regions. Int J Mol Sci 2021; 22:ijms22147693. [PMID: 34299313 PMCID: PMC8305371 DOI: 10.3390/ijms22147693] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 07/10/2021] [Accepted: 07/14/2021] [Indexed: 12/24/2022] Open
Abstract
With the progress of sequencing technologies, an ever-increasing number of variants of unknown functional and clinical significance (VUS) have been identified in both coding and non-coding regions of the main Breast Cancer (BC) predisposition genes. The aim of this study is to identify a mutational profile of coding and intron-exon junction regions of 12 moderate penetrance genes (ATM, BRIP1, CDH1, CHEK2, NBN, PALB2, PTEN, RAD50, RAD51C, RAD51D, STK11, TP53) in a cohort of 450 Italian patients with Hereditary Breast/Ovarian Cancer Syndrome, wild type for germline mutation in BRCA1/2 genes. The analysis was extended to 5′UTR and 3′UTR of all the genes listed above and to the BRCA1 and BRCA2 known regulatory regions in a subset of 120 patients. The screening was performed through NGS target resequencing on the Illumina platform MiSeq. 8.7% of the patients analyzed is carriers of class 5/4 coding variants in the ATM (3.6%), BRIP1 (1.6%), CHEK2 (1.8%), PALB2 (0.7%), RAD51C (0.4%), RAD51D (0.4%), and TP53 (0.2%) genes, while variants of uncertain pathological significance (VUSs)/class 3 were identified in 9.1% of the samples. In intron-exon junctions and in regulatory regions, variants were detected respectively in 5.1% and in 32.5% of the cases analyzed. The average age of disease onset of 44.4 in non-coding variant carriers is absolutely similar to the average age of disease onset in coding variant carriers for each proband’s group with the same cancer type. Furthermore, there is not a statistically significant difference in the proportion of cases with a tumor onset under age of 40 between the two groups, but the presence of multiple non-coding variants in the same patient may affect the aggressiveness of the tumor and it is worth underlining that 25% of patients with an aggressive tumor are carriers of a PTEN 3′UTR-variant. This data provides initial information on how important it might be to extend mutational screening to the regulatory regions in clinical practice.
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Affiliation(s)
- Chiara Guglielmi
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Rosa Scarpitta
- Division of Pathology, University of Pisa, 56126 Pisa, Italy;
| | - Gaetana Gambino
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy;
| | - Eleonora Conti
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Francesca Bellè
- Functional Genetics and Genomics Laboratory, Institute of Clinical Physiology, IFC-CNR, 56127 Pisa, Italy; (F.B.); (T.C.)
| | - Mariella Tancredi
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Tiziana Cervelli
- Functional Genetics and Genomics Laboratory, Institute of Clinical Physiology, IFC-CNR, 56127 Pisa, Italy; (F.B.); (T.C.)
| | - Elisabetta Falaschi
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Cinzia Cosini
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
| | - Paolo Aretini
- Section of Oncological Genomics, Fondazione Pisana per la Scienza, 56017 Pisa, Italy;
| | - Caterina Congregati
- Division of Internal Medicine, University Hospital of Pisa, 56126 Pisa, Italy;
| | - Marco Marino
- Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (M.M.); (E.T.); (E.T.)
| | - Margherita Patruno
- IRCCS Istituto Tumori “Giovanni Paolo II”, 70124 Bari, Italy; (M.P.); (B.P.); (S.T.)
| | - Brunella Pilato
- IRCCS Istituto Tumori “Giovanni Paolo II”, 70124 Bari, Italy; (M.P.); (B.P.); (S.T.)
| | - Francesca Spina
- SC Medical Genetics, ASSL Cagliari, 09126 Cagliari, Italy; (F.S.); (L.B.); (C.V.)
| | - Luisa Balestrino
- SC Medical Genetics, ASSL Cagliari, 09126 Cagliari, Italy; (F.S.); (L.B.); (C.V.)
| | - Elena Tenedini
- Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (M.M.); (E.T.); (E.T.)
| | - Ileana Carnevali
- Ospedale di Circolo ASST Settelaghi, 21100 Varese, Italy; (I.C.); (M.G.T.)
| | - Laura Cortesi
- Department of Oncology, Haematology and Respiratory Diseases, University Hospital of Modena, 41124 Modena, Italy;
| | - Enrico Tagliafico
- Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (M.M.); (E.T.); (E.T.)
| | | | - Stefania Tommasi
- IRCCS Istituto Tumori “Giovanni Paolo II”, 70124 Bari, Italy; (M.P.); (B.P.); (S.T.)
| | - Matteo Ghilli
- Breast Cancer Center, University Hospital, 56126 Pisa, Italy;
| | - Caterina Vivanet
- SC Medical Genetics, ASSL Cagliari, 09126 Cagliari, Italy; (F.S.); (L.B.); (C.V.)
| | - Alvaro Galli
- Functional Genetics and Genomics Laboratory, Institute of Clinical Physiology, IFC-CNR, 56127 Pisa, Italy; (F.B.); (T.C.)
- Correspondence: (A.G.); (M.A.C.)
| | - Maria Adelaide Caligo
- SOD Molecular Genetics, University Hospital of Pisa, 56126 Pisa, Italy; (C.G.); (E.C.); (M.T.); (E.F.); (C.C.)
- Correspondence: (A.G.); (M.A.C.)
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14
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Fanale D, Fiorino A, Incorvaia L, Dimino A, Filorizzo C, Bono M, Cancelliere D, Calò V, Brando C, Corsini LR, Sciacchitano R, Magrin L, Pivetti A, Pedone E, Madonia G, Cucinella A, Badalamenti G, Russo A, Bazan V. Prevalence and Spectrum of Germline BRCA1 and BRCA2 Variants of Uncertain Significance in Breast/Ovarian Cancer: Mysterious Signals From the Genome. Front Oncol 2021; 11:682445. [PMID: 34178674 PMCID: PMC8226162 DOI: 10.3389/fonc.2021.682445] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/25/2021] [Indexed: 12/26/2022] Open
Abstract
About 10–20% of breast/ovarian (BC/OC) cancer patients undergoing germline BRCA1/2 genetic testing have been shown to harbor Variants of Uncertain Significance (VUSs). Since little is known about the prevalence of germline BRCA1/2 VUS in Southern Italy, our study aimed at describing the spectrum of these variants detected in BC/OC patients in order to improve the identification of potentially high-risk BRCA variants helpful in patient clinical management. Eight hundred and seventy-four BC or OC patients, enrolled from October 2016 to December 2020 at the “Sicilian Regional Center for the Prevention, Diagnosis and Treatment of Rare and Heredo-Familial Tumors” of University Hospital Policlinico “P. Giaccone” of Palermo, were genetically tested for germline BRCA1/2 variants through Next-Generation Sequencing analysis. The mutational screening showed that 639 (73.1%) out of 874 patients were BRCA-w.t., whereas 67 (7.7%) were carriers of germline BRCA1/2 VUSs, and 168 (19.2%) harbored germline BRCA1/2 pathogenic/likely pathogenic variants. Our analysis revealed the presence of 59 different VUSs detected in 67 patients, 46 of which were affected by BC and 21 by OC. Twenty-one (35.6%) out of 59 variants were located on BRCA1 gene, whereas 38 (64.4%) on BRCA2. We detected six alterations in BRCA1 and two in BRCA2 with unclear interpretation of clinical significance. Familial anamnesis of a patient harboring the BRCA1-c.3367G>T suggests for this variant a potential of pathogenicity, therefore it should be carefully investigated. Understanding clinical significance of germline BRCA1/2 VUS could improve, in future, the identification of potentially high-risk variants useful for clinical management of BC or OC patients and family members.
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Affiliation(s)
- Daniele Fanale
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Alessia Fiorino
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Lorena Incorvaia
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Alessandra Dimino
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Clarissa Filorizzo
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Marco Bono
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Daniela Cancelliere
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Valentina Calò
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Chiara Brando
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Lidia Rita Corsini
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Roberta Sciacchitano
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Luigi Magrin
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Alessia Pivetti
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Erika Pedone
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Giorgio Madonia
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Alessandra Cucinella
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Giuseppe Badalamenti
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Antonio Russo
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Viviana Bazan
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), Section of Medical Oncology, University of Palermo, Palermo, Italy
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15
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Zhang X, Liu Y, Yu Z, Blumenstein M, Hutvagner G, Li J. Instance-based error correction for short reads of disease-associated genes. BMC Bioinformatics 2021; 22:142. [PMID: 34078284 PMCID: PMC8170817 DOI: 10.1186/s12859-021-04058-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 03/02/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Genomic reads from sequencing platforms contain random errors. Global correction algorithms have been developed, aiming to rectify all possible errors in the reads using generic genome-wide patterns. However, the non-uniform sequencing depths hinder the global approach to conduct effective error removal. As some genes may get under-corrected or over-corrected by the global approach, we conduct instance-based error correction for short reads of disease-associated genes or pathways. The paramount requirement is to ensure the relevant reads, instead of the whole genome, are error-free to provide significant benefits for single-nucleotide polymorphism (SNP) or variant calling studies on the specific genes. RESULTS To rectify possible errors in the short reads of disease-associated genes, our novel idea is to exploit local sequence features and statistics directly related to these genes. Extensive experiments are conducted in comparison with state-of-the-art methods on both simulated and real datasets of lung cancer associated genes (including single-end and paired-end reads). The results demonstrated the superiority of our method with the best performance on precision, recall and gain rate, as well as on sequence assembly results (e.g., N50, the length of contig and contig quality). CONCLUSION Instance-based strategy makes it possible to explore fine-grained patterns focusing on specific genes, providing high precision error correction and convincing gene sequence assembly. SNP case studies show that errors occurring at some traditional SNP areas can be accurately corrected, providing high precision and sensitivity for investigations on disease-causing point mutations.
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Affiliation(s)
- Xuan Zhang
- Advanced Analytics Institute, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - Yuansheng Liu
- Advanced Analytics Institute, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - Zuguo Yu
- Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan, 411105, China
| | - Michael Blumenstein
- Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - Gyorgy Hutvagner
- Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - Jinyan Li
- Advanced Analytics Institute, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia.
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16
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Kuang D, Truty R, Weile J, Johnson B, Nykamp K, Araya C, Nussbaum RL, Roth FP. Prioritizing genes for systematic variant effect mapping. Bioinformatics 2021; 36:5448-5455. [PMID: 33300982 PMCID: PMC8016487 DOI: 10.1093/bioinformatics/btaa1008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 11/17/2020] [Accepted: 11/20/2020] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION When rare missense variants are clinically interpreted as to their pathogenicity, most are classified as variants of uncertain significance (VUS). Although functional assays can provide strong evidence for variant classification, such results are generally unavailable. Multiplexed assays of variant effect can generate experimental 'variant effect maps' that score nearly all possible missense variants in selected protein targets for their impact on protein function. However, these efforts have not always prioritized proteins for which variant effect maps would have the greatest impact on clinical variant interpretation. RESULTS Here, we mined databases of clinically interpreted variants and applied three strategies, each building on the previous, to prioritize genes for systematic functional testing of missense variation. The strategies ranked genes (i) by the number of unique missense VUS that had been reported to ClinVar; (ii) by movability- and reappearance-weighted impact scores, to give extra weight to reappearing, movable VUS and (iii) by difficulty-adjusted impact scores, to account for the more resource-intensive nature of generating variant effect maps for longer genes. Our results could be used to guide systematic functional testing of missense variation toward greater impact on clinical variant interpretation. AVAILABILITY AND IMPLEMENTATION Source code available at: https://github.com/rothlab/mave-gene-prioritization. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Da Kuang
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.,Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada.,Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
| | | | - Jochen Weile
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.,Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada.,Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
| | | | - Keith Nykamp
- Invitae Corporation, San Francisco, CA 94103, USA
| | - Carlos Araya
- Invitae Corporation, San Francisco, CA 94103, USA
| | | | - Frederick P Roth
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.,Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada.,Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada
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17
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Bouwman P, van der Heijden I, van der Gulden H, de Bruijn R, Braspenning ME, Moghadasi S, Wessels LFA, Vreeswijk MPG, Jonkers J. Functional Categorization of BRCA1 Variants of Uncertain Clinical Significance in Homologous Recombination Repair Complementation Assays. Clin Cancer Res 2020; 26:4559-4568. [PMID: 32546644 DOI: 10.1158/1078-0432.ccr-20-0255] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 04/29/2020] [Accepted: 06/12/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE Because BRCA1 is a high-risk breast/ovarian cancer susceptibility gene, BRCA1 sequence variants of uncertain clinical significance (VUS) complicate genetic counseling. As most VUS are rare, reliable classification based on clinical and genetic data is often impossible. However, all pathogenic BRCA1 variants analyzed result in defective homologous recombination DNA repair (HRR). Thus, BRCA1 VUS may be categorized based on their functional impact on this pathway. EXPERIMENTAL DESIGN Two hundred thirty-eight BRCA1 VUS-comprising most BRCA1 VUS known in the Netherlands and Belgium-were tested for their ability to complement Brca1-deficient mouse embryonic stem cells in HRR, using cisplatin and olaparib sensitivity assays and a direct repeat GFP (DR-GFP) HRR assay. Assays were validated using 25 known benign and 25 known pathogenic BRCA1 variants. For assessment of pathogenicity by a multifactorial likelihood analysis method, we collected clinical and genetic data for functionally deleterious VUS and VUS occurring in three or more families. RESULTS All three assays showed 100% sensitivity and specificity (95% confidence interval, 83%-100%). Out of 238 VUS, 45 showed functional defects, 26 of which were deleterious in all three assays. For 13 of these 26 variants, we could calculate the probability of pathogenicity using clinical and genetic data, resulting in the identification of 7 (likely) pathogenic variants. CONCLUSIONS We have functionally categorized 238 BRCA1 VUS using three different HRR-related assays. Classification based on clinical and genetic data alone for a subset of these variants confirmed the high sensitivity and specificity of our functional assays.
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Affiliation(s)
- Peter Bouwman
- Oncode Institute and Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Ingrid van der Heijden
- Oncode Institute and Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Hanneke van der Gulden
- Oncode Institute and Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Roebi de Bruijn
- Oncode Institute and Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.,Oncode Institute and Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Merel E Braspenning
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Setareh Moghadasi
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Lodewyk F A Wessels
- Oncode Institute and Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | | | - Maaike P G Vreeswijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Jos Jonkers
- Oncode Institute and Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
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18
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Santana dos Santos E, Lallemand F, Petitalot A, Caputo SM, Rouleau E. HRness in Breast and Ovarian Cancers. Int J Mol Sci 2020; 21:E3850. [PMID: 32481735 PMCID: PMC7312125 DOI: 10.3390/ijms21113850] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 04/25/2020] [Accepted: 04/28/2020] [Indexed: 02/06/2023] Open
Abstract
Ovarian and breast cancers are currently defined by the main pathways involved in the tumorigenesis. The majority are carcinomas, originating from epithelial cells that are in constant division and subjected to cyclical variations of the estrogen stimulus during the female hormonal cycle, therefore being vulnerable to DNA damage. A portion of breast and ovarian carcinomas arises in the context of DNA repair defects, in which genetic instability is the backdrop for cancer initiation and progression. For these tumors, DNA repair deficiency is now increasingly recognized as a target for therapeutics. In hereditary breast/ovarian cancers (HBOC), tumors with BRCA1/2 mutations present an impairment of DNA repair by homologous recombination (HR). For many years, BRCA1/2 mutations were only screened on germline DNA, but now they are also searched at the tumor level to personalize treatment. The reason of the inactivation of this pathway remains uncertain for most cases, even in the presence of a HR-deficient signature. Evidence indicates that identifying the mechanism of HR inactivation should improve both genetic counseling and therapeutic response, since they can be useful as new biomarkers of response.
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Affiliation(s)
- Elizabeth Santana dos Santos
- Department of Medical Biology and Pathology, Gustave Roussy, Cancer Genetics Laboratory, Gustave Roussy, 94800 Villejuif, France;
- Department of Clinical Oncology, A.C. Camargo Cancer Center, São Paulo 01509-010, Brazil
| | - François Lallemand
- Department of Genetics, Institut Curie, 75005 Paris, France; (F.L.); (A.P.); (S.M.C.)
- PSL Research University, 75005 Paris, France
| | - Ambre Petitalot
- Department of Genetics, Institut Curie, 75005 Paris, France; (F.L.); (A.P.); (S.M.C.)
- PSL Research University, 75005 Paris, France
| | - Sandrine M. Caputo
- Department of Genetics, Institut Curie, 75005 Paris, France; (F.L.); (A.P.); (S.M.C.)
- PSL Research University, 75005 Paris, France
| | - Etienne Rouleau
- Department of Medical Biology and Pathology, Gustave Roussy, Cancer Genetics Laboratory, Gustave Roussy, 94800 Villejuif, France;
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19
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Cervelli T, Lodovichi S, Bellè F, Galli A. Yeast-based assays for the functional characterization of cancer-associated variants of human DNA repair genes. MICROBIAL CELL 2020; 7:162-174. [PMID: 32656256 PMCID: PMC7328678 DOI: 10.15698/mic2020.07.721] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Technological advances are continuously revealing new genetic variants that are often difficult to interpret. As one of the most genetically tractable model organisms, yeast can have a central role in determining the consequences of human genetic variation. DNA repair gene mutations are associated with many types of cancers, therefore the evaluation of the functional impact of these mutations is crucial for risk assessment and for determining therapeutic strategies. Owing to the evolutionary conservation of DNA repair pathways between human cells and the yeast Saccharomyces cerevisiae, several functional assays have been developed. Here, we describe assays for variants of human genes belonging to the major DNA repair pathways divided in functional assays for human genes with yeast orthologues and human genes lacking a yeast orthologue. Human genes with orthologues can be studied by introducing the correspondent human mutations directly in the yeast gene or expressing the human gene carrying the mutations; while the only possible approach for human genes without a yeast orthologue is the heterologous expression. The common principle of these approaches is that the mutated gene determines a phenotypic alteration that can vary according to the gene studied and the domain of the protein. Here, we show how the versatility of yeast can help in classifying cancer-associated variants.
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Affiliation(s)
- Tiziana Cervelli
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, Via Moruzzi 1, 56125 Pisa, Italy
| | - Samuele Lodovichi
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, Via Moruzzi 1, 56125 Pisa, Italy
| | - Francesca Bellè
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, Via Moruzzi 1, 56125 Pisa, Italy
| | - Alvaro Galli
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, Via Moruzzi 1, 56125 Pisa, Italy
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20
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Monteiro AN, Bouwman P, Kousholt AN, Eccles DM, Millot GA, Masson JY, Schmidt MK, Sharan SK, Scully R, Wiesmüller L, Couch F, Vreeswijk MPG. Variants of uncertain clinical significance in hereditary breast and ovarian cancer genes: best practices in functional analysis for clinical annotation. J Med Genet 2020; 57:509-518. [PMID: 32152249 DOI: 10.1136/jmedgenet-2019-106368] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 10/28/2019] [Accepted: 12/01/2019] [Indexed: 12/16/2022]
Affiliation(s)
- Alvaro N Monteiro
- Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Peter Bouwman
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Arne N Kousholt
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Diana M Eccles
- Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK
| | - Gael A Millot
- Hub-DBC, Institut Pasteur, USR 3756 CNRS, Paris, France
| | - Jean-Yves Masson
- CHU de Québec-Université Laval, Oncology Division, Laval University Cancer Research Center, Quebec City, Quebec, Canada
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Shyam K Sharan
- National Cancer Institute at Frederick, Frederick, Maryland, USA
| | - Ralph Scully
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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21
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Kumar PS, Srikanth L, Reddy KS, Sarma PVGK. Novel mutations in the RING-finger domain of BRCA1 gene in clinically diagnosed breast cancer patients. 3 Biotech 2020; 10:47. [PMID: 31988841 DOI: 10.1007/s13205-019-2037-5] [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: 03/23/2018] [Accepted: 12/23/2019] [Indexed: 11/24/2022] Open
Abstract
In the present study, we investigated the frequency of BRCA1 gene mutations in 30 breast cancer (BC) patients of independent family history and 30 healthy control subjects. The immunohistochemistry (IHC) of BC patients showed duct cell carcinoma and distinct expression of the human epidermal growth factor receptor 2 (HER2). The genomic DNA was extracted from the BC patients and control subjects, the BRCA1 gene was PCR amplified and sequenced. The sequence analysis revealed that BRCA1 gene mutations were detected in 5/30 (16.6%) unrelated patients. One novel deleterious c.53delT mutation was detected in 3/30 (10%) unrelated patients leading to p.Met18Serfs*5 frame shift mutation in exon 2. Two patients 2/30 (6%) had novel c.297_301delinsCTCAA mutation in exon 5 leading to p.Leu99_Tyr101delinsPheSerAsn. Interestingly, the qRT-PCR analysis showed high expression of BRCA1 gene in all these patients having mutations compared with control subjects. Further, in silico analysis revealed loss of zinc-binding region of the RING-finger domain in BRCA1 structure due to these mutations, variable number of helices, helix-helix interactions, β-turns, and γ-turns were identified in the secondary structure, resulted in the formation of non-functional protein which is unable to activate BRCA1-associated genome surveillance complex (BASC) leading to uncontrolled cell proliferation. Moreover, the molecular dynamics (MD) simulations of mutated BRCA1 protein demonstrated extensive variations in the domain and non-domain regions compared with the wild-type structure as indicated by RMSD values. All these results conclusively explain that the c.53delT mutation may be the probable founder of deleterious mutation in this ethnic group.
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Affiliation(s)
- Pasupuleti Santhosh Kumar
- 1Department of Biotechnology, Sri Venkateswara Institute of Medical Sciences, Tirupati, Andhra Pradesh 517507 India
| | - Lokanathan Srikanth
- 1Department of Biotechnology, Sri Venkateswara Institute of Medical Sciences, Tirupati, Andhra Pradesh 517507 India
| | - K Sudheer Reddy
- 2Department of Medical Oncology, Sri Venkateswara Institute of Medical Sciences, Tirupati, Andhra Pradesh 517507 India
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22
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Lodovichi S, Bellè F, Cervelli T, Lorenzoni A, Maresca L, Cozzani C, Caligo MA, Galli A. Effect of BRCA1 missense variants on gene reversion in DNA double-strand break repair mutants and cell cycle-arrested cells of Saccharomyces cerevisiae. Mutagenesis 2019; 35:189-195. [DOI: 10.1093/mutage/gez043] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 10/31/2019] [Indexed: 12/13/2022] Open
Abstract
AbstractEvaluation of the functional impact of germline BRCA1 variants that are likely to be associated to breast and ovarian cancer could help to investigate the mechanism of BRCA1 tumorigenesis. Expression of pathogenic BRCA1 missense variants increased homologous recombination (HR) and gene reversion (GR) in yeast. We thought to exploit yeast genetics to shed light on BRCA1-induced genome instability and tumorigenesis. We determined the effect on GR of several neutral and pathogenic BRCA1 variants in the yeast strain RSY6wt and its isogenic DSB repair mutants, such as mre11∆, rad50∆ and rad51∆. In the RSY6wt, four out of five pathogenic and two out of six neutral variants significantly increased GR; rad51∆ strain, the pathogenic variants C61G and A1708E induced a weak but significant increase in GR. On the other hand, in rad50∆ mutant expressing the pathogenic variants localised at the BRCT domain, a further GR increase was seen. The neutral variant N132K and the VUS A1789T induced a weak GR increase in mre11∆ mutant. Thus, BRCA1 missense variants require specific genetic functions and presumably induced GR by different mechanisms. As DNA repair is regulated by cell cycle, we determined the effect on GR of BRCA1 variants in cell cycle-arrested RSYwt cells. GR is highly BRCA1-inducible in S-phase-arrested cells as compared to G1 or G2. Sequence analysis of genomic DNA from ILV1 revertant clones showed that BRCA1-induced ilv1-92 reversion by base substitution when GR is at least 6-fold over the control. Our study demonstrated that BRCA1 may interfere with yeast DNA repair functions that are active in S-phase causing high level of GR. In addition, we confirmed here that yeast could be a reliable model to investigate the mechanism and genetic requirements of BRCA1-induced genome instability. Finally, developing yeast-based assays to characterise BRCA1 missense variants could be useful to design more precise therapies.
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Affiliation(s)
- Samuele Lodovichi
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Francesca Bellè
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Tiziana Cervelli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Alessandra Lorenzoni
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Luisa Maresca
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Cristina Cozzani
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Maria Adelaide Caligo
- Molecular Genetics Unit, Department of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Alvaro Galli
- Yeast Genetics and Genomics, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology, CNR, Pisa, Italy
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23
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Parsons MT, Tudini E, Li H, Hahnen E, Wappenschmidt B, Feliubadaló L, Aalfs CM, Agata S, Aittomäki K, Alducci E, Alonso‐Cerezo MC, Arnold N, Auber B, Austin R, Azzollini J, Balmaña J, Barbieri E, Bartram CR, Blanco A, Blümcke B, Bonache S, Bonanni B, Borg Å, Bortesi B, Brunet J, Bruzzone C, Bucksch K, Cagnoli G, Caldés T, Caliebe A, Caligo MA, Calvello M, Capone GL, Caputo SM, Carnevali I, Carrasco E, Caux‐Moncoutier V, Cavalli P, Cini G, Clarke EM, Concolino P, Cops EJ, Cortesi L, Couch FJ, Darder E, de la Hoya M, Dean M, Debatin I, Del Valle J, Delnatte C, Derive N, Diez O, Ditsch N, Domchek SM, Dutrannoy V, Eccles DM, Ehrencrona H, Enders U, Evans DG, Farra C, Faust U, Felbor U, Feroce I, Fine M, Foulkes WD, Galvao HC, Gambino G, Gehrig A, Gensini F, Gerdes A, Germani A, Giesecke J, Gismondi V, Gómez C, Gómez Garcia EB, González S, Grau E, Grill S, Gross E, Guerrieri‐Gonzaga A, Guillaud‐Bataille M, Gutiérrez‐Enríquez S, Haaf T, Hackmann K, Hansen TV, Harris M, Hauke J, Heinrich T, Hellebrand H, Herold KN, Honisch E, Horvath J, Houdayer C, Hübbel V, Iglesias S, Izquierdo A, James PA, Janssen LA, Jeschke U, Kaulfuß S, Keupp K, Kiechle M, Kölbl A, Krieger S, Kruse TA, Kvist A, Lalloo F, Larsen M, Lattimore VL, Lautrup C, Ledig S, Leinert E, Lewis AL, Lim J, Loeffler M, López‐Fernández A, Lucci‐Cordisco E, Maass N, Manoukian S, Marabelli M, Matricardi L, Meindl A, Michelli RD, Moghadasi S, Moles‐Fernández A, Montagna M, Montalban G, Monteiro AN, Montes E, Mori L, Moserle L, Müller CR, Mundhenke C, Naldi N, Nathanson KL, Navarro M, Nevanlinna H, Nichols CB, Niederacher D, Nielsen HR, Ong K, Pachter N, Palmero EI, Papi L, Pedersen IS, Peissel B, Perez‐Segura P, Pfeifer K, Pineda M, Pohl‐Rescigno E, Poplawski NK, Porfirio B, Quante AS, Ramser J, Reis RM, Revillion F, Rhiem K, Riboli B, Ritter J, Rivera D, Rofes P, Rump A, Salinas M, Sánchez de Abajo AM, Schmidt G, Schoenwiese U, Seggewiß J, Solanes A, Steinemann D, Stiller M, Stoppa‐Lyonnet D, Sullivan KJ, Susman R, Sutter C, Tavtigian SV, Teo SH, Teulé A, Thomassen M, Tibiletti MG, Tischkowitz M, Tognazzo S, Toland AE, Tornero E, Törngren T, Torres‐Esquius S, Toss A, Trainer AH, Tucker KM, van Asperen CJ, van Mackelenbergh MT, Varesco L, Vargas‐Parra G, Varon R, Vega A, Velasco Á, Vesper A, Viel A, Vreeswijk MPG, Wagner SA, Waha A, Walker LC, Walters RJ, Wang‐Gohrke S, Weber BHF, Weichert W, Wieland K, Wiesmüller L, Witzel I, Wöckel A, Woodward ER, Zachariae S, Zampiga V, Zeder‐Göß C, Investigators KC, Lázaro C, De Nicolo A, Radice P, Engel C, Schmutzler RK, Goldgar DE, Spurdle AB. Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification. Hum Mutat 2019; 40:1557-1578. [PMID: 31131967 PMCID: PMC6772163 DOI: 10.1002/humu.23818] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 05/08/2019] [Accepted: 05/12/2019] [Indexed: 12/24/2022]
Abstract
The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification.
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Affiliation(s)
- Michael T. Parsons
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Emma Tudini
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Hongyan Li
- Cancer Control and Population Science, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtah
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Barbara Wappenschmidt
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Lidia Feliubadaló
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Cora M. Aalfs
- Department of Clinical GeneticsAmsterdam UMCAmsterdamThe Netherlands
| | - Simona Agata
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOVIRCCSPaduaItaly
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University HospitalUniversity of HelsinkiHelsinkiFinland
| | - Elisa Alducci
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOVIRCCSPaduaItaly
| | | | - Norbert Arnold
- Department of Gynaecology and Obstetrics, University Hospital of Schleswig‐Holstein, Campus KielChristian‐Albrechts University KielKielGermany
- Institute of Clinical Molecular Biology, University Hospital of Schleswig‐Holstein, Campus KielChristian‐Albrechts University KielKielGermany
| | - Bernd Auber
- Institute of Human GeneticsHannover Medical SchoolHannoverGermany
| | - Rachel Austin
- Genetic Health QueenslandRoyal Brisbane and Women's HospitalBrisbaneAustralia
| | - Jacopo Azzollini
- Unit of Medical Genetics, Department of Medical Oncology and HematologyFondazione IRCCS Istituto Nazionale dei Tumori di MilanoMilanItaly
| | - Judith Balmaña
- High Risk and Cancer Prevention GroupVall d'Hebron Institute of OncologyBarcelonaSpain
- Department of Medical OncologyUniversity Hospital of Vall d'HebronBarcelonaSpain
| | - Elena Barbieri
- Department of Oncology and HaematologyUniversity of Modena and Reggio EmiliaModenaItaly
| | - Claus R. Bartram
- Institute of Human GeneticsUniversity Hospital HeidelbergHeidelbergGermany
| | - Ana Blanco
- Fundación Pública galega Medicina Xenómica‐SERGASGrupo de Medicina Xenómica‐USC, CIBERER, IDISSantiago de CompostelaSpain
| | - Britta Blümcke
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Sandra Bonache
- Oncogenetics GroupVall d'Hebron Institute of Oncology (VHIO)BarcelonaSpain
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, IEOEuropean Institute of Oncology IRCCSMilanItaly
| | - Åke Borg
- Division of Oncology and Pathology, Department of Clinical Sciences LundLund UniversityLundSweden
| | | | - Joan Brunet
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Carla Bruzzone
- Unit of Hereditary CancerIRCCS Ospedale Policlinico San MartinoGenoaItaly
| | - Karolin Bucksch
- Institute for Medical Informatics, Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - Giulia Cagnoli
- Unit of Medical Genetics, Department of Medical Oncology and HematologyFondazione IRCCS Istituto Nazionale dei Tumori di MilanoMilanItaly
| | - Trinidad Caldés
- Molecular Oncology Laboratory, CIBERONC, Hospital Clinico San CarlosIdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos)MadridSpain
| | - Almuth Caliebe
- Institute of Human Genetics, University Hospital of Schleswig‐Holstein, Campus KielChristian‐Albrechts University KielKielGermany
| | | | - Mariarosaria Calvello
- Division of Cancer Prevention and Genetics, IEOEuropean Institute of Oncology IRCCSMilanItaly
| | - Gabriele L. Capone
- Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', Medical Genetics UnitUniversity of FlorenceFlorenceItaly
| | - Sandrine M. Caputo
- Service de GénétiqueInstitut CurieParisFrance
- Paris Sciences Lettres Research UniversityParisFrance
| | - Ileana Carnevali
- UO Anatomia PatologicaOspedale di Circolo ASST SettelaghiVareseItaly
| | - Estela Carrasco
- High Risk and Cancer Prevention GroupVall d'Hebron Institute of OncologyBarcelonaSpain
| | | | | | - Giulia Cini
- Division of Functional Onco‐genomics and Genetics, Centro di Riferimento Oncologico di Aviano (CRO)IRCCSAvianoItaly
| | - Edward M. Clarke
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Paola Concolino
- Fondazione Policlinico Universitario A.GemelliIRCCSRomeItaly
| | - Elisa J. Cops
- Parkville Familial Cancer CentrePeter MacCallum Cancer CenterMelbourneVictoriaAustralia
| | - Laura Cortesi
- Department of Oncology and HaematologyUniversity of Modena and Reggio EmiliaModenaItaly
| | - Fergus J. Couch
- Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesota
| | - Esther Darder
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Miguel de la Hoya
- Molecular Oncology Laboratory, CIBERONC, Hospital Clinico San CarlosIdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos)MadridSpain
| | - Michael Dean
- Laboratory of Translational Genomics, DCEGNational Cancer InstituteGaithersburgMaryland
| | - Irmgard Debatin
- Institute of Human GeneticsUniversity Hospital UlmUlmGermany
| | - Jesús Del Valle
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | | | - Nicolas Derive
- Service de GénétiqueInstitut CurieParisFrance
- Paris Sciences Lettres Research UniversityParisFrance
| | - Orland Diez
- Oncogenetics GroupVall d'Hebron Institute of Oncology (VHIO)BarcelonaSpain
- Clinical and Molecular Genetics AreaUniversity Hospital Vall d'HebronBarcelonaSpain
| | - Nina Ditsch
- Department of Gynecology and ObstetricsUniversity of MunichMunichGermany
| | - Susan M. Domchek
- Basser Center for BRCA, Abramson Cancer CenterUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Véronique Dutrannoy
- Institute of Medical and Human GeneticsCharité –Universitätsmedizin BerlinBerlinGermany
| | | | - Hans Ehrencrona
- Department of Clinical Genetics and Pathology, Laboratory MedicineOffice for Medical Services ‐ Region SkåneLundSweden
- Division of Clinical Genetics, Department of Laboratory MedicineLund UniversityLundSweden
| | - Ute Enders
- Institute for Medical Informatics, Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - D. Gareth Evans
- Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester Universities Foundation TrustSt. Mary's HospitalManchesterUK
- Genomic Medicine, North West Genomics hub, Manchester Academic Health Science Centre, Manchester Universities Foundation TrustSt. Mary's HospitalManchesterUK
| | - Chantal Farra
- Medical GeneticsAmerican University of Beirut Medical CenterBeirutLebanon
| | - Ulrike Faust
- Institute of Medical Genetics and Applied GenomicsUniversity of TübingenTübingenGermany
| | - Ute Felbor
- Institute of Human GeneticsUniversity Medicine GreifswaldGreifswaldGermany
| | - Irene Feroce
- Division of Cancer Prevention and Genetics, IEOEuropean Institute of Oncology IRCCSMilanItaly
| | - Miriam Fine
- Adult Genetics UnitRoyal Adelaide HospitalAdelaideAustralia
| | - William D. Foulkes
- Program in Cancer Genetics, Departments of Human Genetics and OncologyMcGill UniversityMontréalQCCanada
| | | | | | - Andrea Gehrig
- Department of Human GeneticsUniversity of WürzburgWürzburgGermany
| | - Francesca Gensini
- Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', Medical Genetics UnitUniversity of FlorenceFlorenceItaly
| | - Anne‐Marie Gerdes
- Department of Clinical Genetics, RigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | - Aldo Germani
- Department of Clinical and Molecular Medicine, Sant'Andrea University HospitalSapienza UniversityRomeItaly
| | - Jutta Giesecke
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Viviana Gismondi
- Unit of Hereditary CancerIRCCS Ospedale Policlinico San MartinoGenoaItaly
| | - Carolina Gómez
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Encarna B. Gómez Garcia
- Department of Clinical GeneticsMaastricht University Medical CenterMaastrichtThe Netherlands
| | - Sara González
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Elia Grau
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Sabine Grill
- Division of Gynaecology and Obstetrics, Klinikum rechts der Isar der TechnischenUniversität MünchenMunichGermany
| | - Eva Gross
- Department of Gynecology and ObstetricsUniversity of MunichMunichGermany
| | | | | | | | - Thomas Haaf
- Department of Human GeneticsUniversity of WürzburgWürzburgGermany
| | - Karl Hackmann
- Institute for Clinical Genetics, Faculty of Medicine Carl Gustav CarusTU DresdenDresdenGermany
| | - Thomas V.O. Hansen
- Department of Clinical Genetics, RigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | | | - Jan Hauke
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Tilman Heinrich
- Institute of Medical Genetics and Applied GenomicsUniversity of TübingenTübingenGermany
| | - Heide Hellebrand
- Division of Gynaecology and Obstetrics, Klinikum rechts der Isar der TechnischenUniversität MünchenMunichGermany
| | | | - Ellen Honisch
- Department of Gynecology and Obstetrics, University Hospital DüsseldorfHeinrich‐Heine University DüsseldorfDüsseldorfGermany
| | - Judit Horvath
- Institute of Human GeneticsUniversity of MünsterMünsterGermany
| | - Claude Houdayer
- Department of Genetics, F76000 and Normandy University, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized MedicineRouen University HospitalRouenFrance
| | - Verena Hübbel
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Silvia Iglesias
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Angel Izquierdo
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Paul A. James
- Parkville Familial Cancer CentrePeter MacCallum Cancer CenterMelbourneVictoriaAustralia
- Sir Peter MacCallum Department of OncologyThe University of MelbourneMelbourneVictoriaAustralia
| | - Linda A.M. Janssen
- Department of Clinical GeneticsLeiden University Medical CenterLeidenThe Netherlands
| | - Udo Jeschke
- Department of Gynecology and ObstetricsUniversity of MunichMunichGermany
| | - Silke Kaulfuß
- Institute of Human GeneticsUniversity Medical Center GöttingenGöttingenGermany
| | - Katharina Keupp
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Marion Kiechle
- Division of Gynaecology and Obstetrics, Klinikum rechts der Isar der TechnischenUniversität MünchenMunichGermany
| | - Alexandra Kölbl
- Department of Gynecology and ObstetricsUniversity of MunichMunichGermany
| | - Sophie Krieger
- Laboratoire de Biologie Clinique et OncologiqueCentre Francois BaclesseCaenFrance
- Genomics and Personalized Medecine in Cancer and Neurological DisordersNormandy Centre for Genomic and Personalized MedicineRouenFrance
- Normandie UniversitéUNICAENCaenFrance
| | - Torben A. Kruse
- Department of Clinical GeneticsOdense University HospitalOdense CDenmark
| | - Anders Kvist
- Division of Oncology and Pathology, Department of Clinical Sciences LundLund UniversityLundSweden
| | - Fiona Lalloo
- Genomic Medicine, North West Genomics hub, Manchester Academic Health Science Centre, Manchester Universities Foundation TrustSt. Mary's HospitalManchesterUK
| | - Mirjam Larsen
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Vanessa L. Lattimore
- Department of Pathology and Biomedical ScienceUniversity of OtagoChristchurchNew Zealand
| | - Charlotte Lautrup
- Department of Clinical GeneticsAalborg University HospitalAalborgDenmark
- Clinical Cancer Research CenterAalborg University HospitalAalborgDenmark
| | - Susanne Ledig
- Institute of Human GeneticsUniversity of MünsterMünsterGermany
| | - Elena Leinert
- Department of Gynaecology and ObstetricsUniversity Hospital UlmUlmGermany
| | | | - Joanna Lim
- Breast Cancer Research ProgrammeCancer Research MalaysiaSubang JayaSelangorMalaysia
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - Adrià López‐Fernández
- High Risk and Cancer Prevention GroupVall d'Hebron Institute of OncologyBarcelonaSpain
| | - Emanuela Lucci‐Cordisco
- UOC Genetica Medica, Fondazione Policlinico Universitario A.Gemelli IRCCS and Istituto di Medicina GenomicaUniversità Cattolica del Sacro CuoreRomeItaly
| | - Nicolai Maass
- Department of Gynaecology and Obstetrics, University Hospital of Schleswig‐Holstein, Campus KielChristian‐Albrechts University KielKielGermany
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and HematologyFondazione IRCCS Istituto Nazionale dei Tumori di MilanoMilanItaly
| | - Monica Marabelli
- Division of Cancer Prevention and Genetics, IEOEuropean Institute of Oncology IRCCSMilanItaly
| | - Laura Matricardi
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOVIRCCSPaduaItaly
| | - Alfons Meindl
- Department of Gynecology and ObstetricsUniversity of MunichMunichGermany
| | | | - Setareh Moghadasi
- Department of Clinical GeneticsLeiden University Medical CenterLeidenThe Netherlands
| | | | - Marco Montagna
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOVIRCCSPaduaItaly
| | - Gemma Montalban
- Oncogenetics GroupVall d'Hebron Institute of Oncology (VHIO)BarcelonaSpain
| | | | - Eva Montes
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Luigi Mori
- Department of Clinical and Experimental Science, University of Brescia c/o 2nd Internal MedicineHospital of BresciaBresciaItaly
| | - Lidia Moserle
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOVIRCCSPaduaItaly
| | | | - Christoph Mundhenke
- Department of Gynaecology and Obstetrics, University Hospital of Schleswig‐Holstein, Campus KielChristian‐Albrechts University KielKielGermany
| | - Nadia Naldi
- Division of OncologyUniversity Hospital of ParmaParmaItaly
| | - Katherine L. Nathanson
- Basser Center for BRCA, Abramson Cancer CenterUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Matilde Navarro
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University HospitalUniversity of HelsinkiHelsinkiFinland
| | - Cassandra B. Nichols
- Genetic Services of Western AustraliaKing Edward Memorial HospitalPerthAustralia
| | - Dieter Niederacher
- Department of Gynecology and Obstetrics, University Hospital DüsseldorfHeinrich‐Heine University DüsseldorfDüsseldorfGermany
| | | | - Kai‐ren Ong
- West Midlands Regional Genetics ServiceBirmingham Women's Hospital Healthcare NHS TrustBirminghamUK
| | - Nicholas Pachter
- Genetic Services of Western AustraliaKing Edward Memorial HospitalPerthAustralia
- Faculty of Health and Medical SciencesUniversity of Western AustraliaPerthAustralia
| | - Edenir I. Palmero
- Molecular Oncology Research CenterBarretos Cancer HospitalSão PauloBrazil
- Barretos School of Health SciencesDr. Paulo Prata ‐ FACISBSão PauloBrazil
| | - Laura Papi
- Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', Medical Genetics UnitUniversity of FlorenceFlorenceItaly
| | - Inge Sokilde Pedersen
- Clinical Cancer Research CenterAalborg University HospitalAalborgDenmark
- Molecular DiagnosticsAalborg University HospitalAalborgDenmark
- Department of Clinical MedicineAalborg UniversityAalborgDenmark
| | - Bernard Peissel
- Unit of Medical Genetics, Department of Medical Oncology and HematologyFondazione IRCCS Istituto Nazionale dei Tumori di MilanoMilanItaly
| | - Pedro Perez‐Segura
- Molecular Oncology Laboratory, CIBERONC, Hospital Clinico San CarlosIdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos)MadridSpain
| | - Katharina Pfeifer
- Division of Gynaecology and Obstetrics, Klinikum rechts der Isar der TechnischenUniversität MünchenMunichGermany
| | - Marta Pineda
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Esther Pohl‐Rescigno
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Nicola K. Poplawski
- Adult Genetics UnitRoyal Adelaide HospitalAdelaideAustralia
- School of Paediatrics and Reproductive HealthUniversity of AdelaideAdelaideAustralia
| | - Berardino Porfirio
- Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', Medical Genetics UnitUniversity of FlorenceFlorenceItaly
| | - Anne S. Quante
- Division of Gynaecology and Obstetrics, Klinikum rechts der Isar der TechnischenUniversität MünchenMunichGermany
| | - Juliane Ramser
- Division of Gynaecology and Obstetrics, Klinikum rechts der Isar der TechnischenUniversität MünchenMunichGermany
| | - Rui M. Reis
- Molecular Oncology Research CenterBarretos Cancer HospitalSão PauloBrazil
- Health Sciences SchoolUniversity of MinhoBragaPortugal
- ICVS/3B's‐PT Government Associate LaboratoryBragaPortugal
| | - Françoise Revillion
- Laboratoire d'Oncogenetique Moleculaire HumaineCentre Oscar LambretLilleFrance
| | - Kerstin Rhiem
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | | | - Julia Ritter
- Institute of Medical and Human GeneticsCharité –Universitätsmedizin BerlinBerlinGermany
| | - Daniela Rivera
- Unit of Hereditary CancerIRCCS Ospedale Policlinico San MartinoGenoaItaly
| | - Paula Rofes
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Andreas Rump
- Institute for Clinical Genetics, Faculty of Medicine Carl Gustav CarusTU DresdenDresdenGermany
| | - Monica Salinas
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Ana María Sánchez de Abajo
- Servicio de Análisis Clínicos y Bioquímica Clínica, Complejo HospitalarioUniversitario Insular Materno‐Infantil de Gran CanariaLas Palmas de Gran CanaríaSpain
| | - Gunnar Schmidt
- Institute of Human GeneticsHannover Medical SchoolHannoverGermany
| | - Ulrike Schoenwiese
- Institute for Medical Informatics, Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - Jochen Seggewiß
- Institute of Human GeneticsUniversity of MünsterMünsterGermany
| | - Ares Solanes
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Doris Steinemann
- Institute of Human GeneticsHannover Medical SchoolHannoverGermany
| | - Mathias Stiller
- Institute of Human GeneticsUniversity Hospital LeipzigLeipzigGermany
| | - Dominique Stoppa‐Lyonnet
- Service de GénétiqueInstitut CurieParisFrance
- Department of Tumour BiologyINSERM U830ParisFrance
- Université Paris DescartesParisFrance
| | - Kelly J. Sullivan
- Genetic Health Service NZ‐ Northern HubAuckland District Health BoardAucklandNew Zealand
| | - Rachel Susman
- Genetic Health QueenslandRoyal Brisbane and Women's HospitalBrisbaneAustralia
| | - Christian Sutter
- Institute of Human GeneticsUniversity Hospital HeidelbergHeidelbergGermany
| | - Sean V. Tavtigian
- Department of Oncological ServicesUniversity of Utah School of MedicineSalt Lake CityUtah
- Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtah
| | - Soo H. Teo
- Breast Cancer Research ProgrammeCancer Research MalaysiaSubang JayaSelangorMalaysia
- Department of Surgery, Faculty of MedicineUniversity MalayaKuala LumpurMalaysia
| | - Alex Teulé
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Mads Thomassen
- Department of Clinical GeneticsOdense University HospitalOdense CDenmark
| | | | - Marc Tischkowitz
- Department of Medical GeneticsUniversity of CambridgeCambridgeUK
| | - Silvia Tognazzo
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOVIRCCSPaduaItaly
| | - Amanda E. Toland
- Department of Cancer Biology and GeneticsThe Ohio State UniversityColumbusOhio
| | - Eva Tornero
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Therese Törngren
- Division of Oncology and Pathology, Department of Clinical Sciences LundLund UniversityLundSweden
| | - Sara Torres‐Esquius
- High Risk and Cancer Prevention GroupVall d'Hebron Institute of OncologyBarcelonaSpain
| | - Angela Toss
- Department of Oncology and HaematologyUniversity of Modena and Reggio EmiliaModenaItaly
| | - Alison H. Trainer
- Parkville Familial Cancer CentrePeter MacCallum Cancer CenterMelbourneVictoriaAustralia
- Department of medicineUniversity of MelbourneMelbourneVictoriaAustralia
| | - Katherine M. Tucker
- Prince of Wales Clinical SchoolUniversity of NSWSydneyNew South WalesAustralia
- Hereditary Cancer Clinic, Department of Medical OncologyPrince of Wales HospitalRandwickNew South WalesAustralia
| | | | - Marion T. van Mackelenbergh
- Department of Gynaecology and Obstetrics, University Hospital of Schleswig‐Holstein, Campus KielChristian‐Albrechts University KielKielGermany
| | - Liliana Varesco
- Unit of Hereditary CancerIRCCS Ospedale Policlinico San MartinoGenoaItaly
| | - Gardenia Vargas‐Parra
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Raymonda Varon
- Institute of Medical and Human GeneticsCharité –Universitätsmedizin BerlinBerlinGermany
| | - Ana Vega
- Fundación Pública galega Medicina Xenómica‐SERGASGrupo de Medicina Xenómica‐USC, CIBERER, IDISSantiago de CompostelaSpain
| | - Ángela Velasco
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | - Anne‐Sophie Vesper
- Department of Gynecology and Obstetrics, University Hospital DüsseldorfHeinrich‐Heine University DüsseldorfDüsseldorfGermany
| | - Alessandra Viel
- Division of Functional Onco‐genomics and Genetics, Centro di Riferimento Oncologico di Aviano (CRO)IRCCSAvianoItaly
| | | | - Sebastian A. Wagner
- Department of MedicineHematology/Oncology, Goethe‐University FrankfurtFrankfurtGermany
| | - Anke Waha
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Logan C. Walker
- Department of Pathology and Biomedical ScienceUniversity of OtagoChristchurchNew Zealand
| | - Rhiannon J. Walters
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Shan Wang‐Gohrke
- Department of Gynaecology and ObstetricsUniversity Hospital UlmUlmGermany
| | | | - Wilko Weichert
- Institute of PathologyTechnische Universität MünchenMunichGermany
| | - Kerstin Wieland
- Institute for Medical Informatics, Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - Lisa Wiesmüller
- Department of Gynaecology and ObstetricsUniversity Hospital UlmUlmGermany
| | - Isabell Witzel
- Department of GynecologyUniversity Medical Center HamburgHamburgGermany
| | - Achim Wöckel
- Department of Gynecology and ObstetricsUniversity Hospital WürzburgWürzburgGermany
| | - Emma R. Woodward
- Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester Universities Foundation TrustSt. Mary's HospitalManchesterUK
- Genomic Medicine, North West Genomics hub, Manchester Academic Health Science Centre, Manchester Universities Foundation TrustSt. Mary's HospitalManchesterUK
| | - Silke Zachariae
- Institute for Medical Informatics, Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - Valentina Zampiga
- Biosciences LaboratoryIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCSMeldolaItaly
| | | | - KConFab Investigators
- Sir Peter MacCallum Department of OncologyThe University of MelbourneMelbourneVictoriaAustralia
- Research DepartmentPeter MacCallum Cancer CenterMelbourneVictoriaAustralia
| | - Conxi Lázaro
- Hereditary Cancer Program, ONCOBELL‐IDIBELL‐IDIBGI‐IGTP, Catalan Institute of OncologyCIBERONCBarcelonaSpain
| | | | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of ResearchFondazione IRCCS Istituto Nazionale dei Tumori (INT)MilanItaly
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | - Rita K. Schmutzler
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - David E. Goldgar
- Department of Dermatology, Huntsman Cancer InstituteUniversity of Utah School of MedicineSalt Lake CityUtah
| | - Amanda B. Spurdle
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
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A CRISPR-based base-editing screen for the functional assessment of BRCA1 variants. Oncogene 2019; 39:30-35. [PMID: 31467430 PMCID: PMC6937211 DOI: 10.1038/s41388-019-0968-2] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 05/31/2019] [Accepted: 06/15/2019] [Indexed: 11/26/2022]
Abstract
Genetic mutations in BRCA1, which is crucial for the process of DNA repair and maintenance of genomic integrity, are known to increase markedly the risk of breast and ovarian cancers. Clinical genetic testing has been used to identify new BRCA1 variants; however, functional assessment and determination of their pathogenicity still poses challenges for clinical management. Here, we describe that CRISPR-mediated cytosine base editor, known as BE3, can be used for the functional analysis of BRCA1 variants. We performed CRISPR-mediated base-editing screening using 745 gRNAs targeting all exons in BRCA1 to identify loss-of-function variants and identified variants whose function has heretofore remained unknown, such as c.-97C>T, c.154C>T, c.3847C>T, c.5056C>T, and c.4986+5G>A. Our results show that CRISPR-mediated base editor is a powerful tool for the reclassification of variants of uncertain significance (VUSs) in BRCA1.
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BRCA1 and BRCA2 Testing through Next Generation Sequencing in a Small Cohort of Italian Breast/Ovarian Cancer Patients: Novel Pathogenic and Unknown Clinical Significance Variants. Int J Mol Sci 2019; 20:ijms20143442. [PMID: 31336956 PMCID: PMC6678297 DOI: 10.3390/ijms20143442] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 07/08/2019] [Accepted: 07/11/2019] [Indexed: 01/07/2023] Open
Abstract
The aim of this report is to describe results of BRCA1 and BRCA2 Next Generation Sequencing Analysis (NGS) analysis in 132 selected Italian patients with breast/ovarian cancer. A NGS pipeline with a reliable Copy Number Variation (CNV) prediction algorithm was applied. In addition, VarSome and Priors V2.0 Software were employed for in silico analysis of novel missense variants. A total of 37 BRCA1 and BRCA2 pathogenic variants were found in 34 unrelated subjects with a frequency of positive patients of 25.7% (34/132). Twenty-four deleterious variants were detected in BRCA1 (representing the 64.9% of all identified pathogenic defects) and thirteen (35.1% of all identified pathogenic variants) in BRCA2 gene. The percentage of patients carrying a variant of unknown significance (VUS) was 7.5% (10/132). In addition, seven novel variants (five in BRCA2 and two in BRCA1 gene), never previously reported, were identified. Our approach represents a robust and easy-to-use method for full BRCA1/2 screening. However, a consistent number of our high-risk families still remained without a satisfying answer. Necessarily, further collective efforts must be directed to a definitive classification of VUSs. The future auspice is that the use of multi-gene panel and more advanced screenings, such as whole exome sequencing and/or RNA seq, in routine diagnostics increases the detection rate.
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Padilla N, Moles-Fernández A, Riera C, Montalban G, Özkan S, Ootes L, Bonache S, Díez O, Gutiérrez-Enríquez S, de la Cruz X. BRCA1- and BRCA2-specific in silico tools for variant interpretation in the CAGI 5 ENIGMA challenge. Hum Mutat 2019; 40:1593-1611. [PMID: 31112341 DOI: 10.1002/humu.23802] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 05/15/2019] [Accepted: 05/17/2019] [Indexed: 11/09/2022]
Abstract
BRCA1 and BRCA2 (BRCA1/2) germline variants disrupting the DNA protective role of these genes increase the risk of hereditary breast and ovarian cancers. Correct identification of these variants then becomes clinically relevant, because it may increase the survival rates of the carriers. Unfortunately, we are still unable to systematically predict the impact of BRCA1/2 variants. In this article, we present a family of in silico predictors that address this problem, using a gene-specific approach. For each protein, we have developed two tools, aimed at predicting the impact of a variant at two different levels: Functional and clinical. Testing their performance in different datasets shows that specific information compensates the small number of predictive features and the reduced training sets employed to develop our models. When applied to the variants of the BRCA1/2 (ENIGMA) challenge in the fifth Critical Assessment of Genome Interpretation (CAGI 5) we find that these methods, particularly those predicting the functional impact of variants, have a good performance, identifying the large compositional bias towards neutral variants in the CAGI sample. This performance is further improved when incorporating to our prediction protocol estimates of the impact on splicing of the target variant.
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Affiliation(s)
- Natàlia Padilla
- Research Unit in Clinical and Translational Bioinformatics, Vall d'Hebron Institute of Research (VHIR). Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Casandra Riera
- Research Unit in Clinical and Translational Bioinformatics, Vall d'Hebron Institute of Research (VHIR). Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Gemma Montalban
- Oncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Selen Özkan
- Research Unit in Clinical and Translational Bioinformatics, Vall d'Hebron Institute of Research (VHIR). Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lars Ootes
- Research Unit in Clinical and Translational Bioinformatics, Vall d'Hebron Institute of Research (VHIR). Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sandra Bonache
- Oncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Orland Díez
- Oncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.,Area of Clinical and Molecular Genetics, University Hospital of Vall d'Hebron, Barcelona, Spain
| | | | - Xavier de la Cruz
- Research Unit in Clinical and Translational Bioinformatics, Vall d'Hebron Institute of Research (VHIR). Universitat Autònoma de Barcelona, Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
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Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation. Cancers (Basel) 2019; 11:cancers11040522. [PMID: 31013702 PMCID: PMC6520942 DOI: 10.3390/cancers11040522] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 03/13/2019] [Accepted: 03/30/2019] [Indexed: 12/24/2022] Open
Abstract
Genetic testing allows for the identification of germline DNA variations, which are associated with a significant increase in the risk of developing breast cancer (BC) and ovarian cancer (OC). Detection of a BRCA1 or BRCA2 pathogenic variant triggers several clinical management actions, which may include increased surveillance and prophylactic surgery for healthy carriers or treatment with the PARP inhibitor therapy for carriers diagnosed with cancer. Thus, standardized validated criteria for the annotation of BRCA1 and BRCA2 variants according to their pathogenicity are necessary to support clinical decision-making and ensure improved outcomes. Upon detection, variants whose pathogenicity can be inferred by the genetic code are typically classified as pathogenic, likely pathogenic, likely benign, or benign. Variants whose impact on function cannot be directly inferred by the genetic code are labeled as variants of uncertain clinical significance (VUS) and are evaluated by multifactorial likelihood models that use personal and family history of cancer, segregation data, prediction tools, and co-occurrence with a pathogenic BRCA variant. Missense variants, coding alterations that replace a single amino acid residue with another, are a class of variants for which determination of clinical relevance is particularly challenging. Here, we discuss current issues in the missense variant classification by following a typical life cycle of a BRCA1 missense variant through detection, annotation and information dissemination. Advances in massively parallel sequencing have led to a substantial increase in VUS findings. Although the comprehensive assessment and classification of missense variants according to their pathogenicity remains the bottleneck, new developments in functional analysis, high throughput assays, data sharing, and statistical models are rapidly changing this scenario.
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Fernandes VC, Golubeva VA, Di Pietro G, Shields C, Amankwah K, Nepomuceno TC, de Gregoriis G, Abreu RBV, Harro C, Gomes TT, Silva RF, Suarez-Kurtz G, Couch FJ, Iversen ES, Monteiro ANA, Carvalho MA. Impact of amino acid substitutions at secondary structures in the BRCT domains of the tumor suppressor BRCA1: Implications for clinical annotation. J Biol Chem 2019; 294:5980-5992. [PMID: 30765603 DOI: 10.1074/jbc.ra118.005274] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 02/06/2019] [Indexed: 01/07/2023] Open
Abstract
Genetic testing for BRCA1, a DNA repair protein, can identify carriers of pathogenic variants associated with a substantially increased risk for breast and ovarian cancers. However, an association with increased risk is unclear for a large fraction of BRCA1 variants present in the human population. Most of these variants of uncertain clinical significance lead to amino acid changes in the BRCA1 protein. Functional assays are valuable tools to assess the potential pathogenicity of these variants. Here, we systematically probed the effects of substitutions in the C terminus of BRCA1: the N- and C-terminal borders of its tandem BRCT domain, the BRCT-[N-C] linker region, and the α1 and α'1 helices in BRCT-[N] and -[C]. Using a validated transcriptional assay based on a fusion of the GAL4 DNA-binding domain to the BRCA1 C terminus (amino acids 1396-1863), we assessed the functional impact of 99 missense variants of BRCA1. We include the data obtained for these 99 missense variants in a joint analysis to generate the likelihood of pathogenicity for 347 missense variants in BRCA1 using VarCall, a Bayesian integrative statistical model. The results from this analysis increase our understanding of BRCA1 regions less tolerant to changes, identify functional borders of structural domains, and predict the likelihood of pathogenicity for 98% of all BRCA1 missense variants in this region recorded in the population. This knowledge will be critical for improving risk assessment and clinical treatment of carriers of BRCA1 variants.
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Affiliation(s)
- Vanessa C Fernandes
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050
| | - Volha A Golubeva
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612
| | - Giuliano Di Pietro
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612; the Universidade Federal de Sergipe, Campus São Cristóvão, Brazil 49100-000
| | - Cara Shields
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612
| | - Kwabena Amankwah
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612
| | - Thales C Nepomuceno
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050; the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612
| | - Giuliana de Gregoriis
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050
| | - Renata B V Abreu
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050
| | - Carly Harro
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612; the Department of Cell Biology, Microbiology, College of Arts and Sciences, University of South Florida Cancer Biology Ph.D. Program, Tampa, Florida 33612
| | - Thiago T Gomes
- the Instituto Federal do Rio de Janeiro, Rio de Janeiro 20270-021, Brazil
| | - Ricceli F Silva
- the Instituto Federal do Rio de Janeiro, Rio de Janeiro 20270-021, Brazil
| | - Guilherme Suarez-Kurtz
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050
| | - Fergus J Couch
- the Department of Laboratory Medicine, Mayo Clinic, Rochester, Minnesota 55905
| | - Edwin S Iversen
- the Department of Statistics, Duke University, Durham, North Carolina 27710
| | - Alvaro N A Monteiro
- the Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612.
| | - Marcelo A Carvalho
- From the Instituto Nacional de Câncer, Programa de Pesquisa Clínica, Rio de Janeiro, Brazil 20231-050.
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29
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Reinterpretation of BRCA1 and BRCA2 variants of uncertain significance in patients with hereditary breast/ovarian cancer using the ACMG/AMP 2015 guidelines. Breast Cancer 2019; 26:510-519. [PMID: 30725392 DOI: 10.1007/s12282-019-00951-w] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 01/25/2019] [Indexed: 01/19/2023]
Abstract
BACKGROUND Although BRCA1 or BRCA2 (BRCA1/2) genetic testing plays an important role in determining treatment modalities in patients with hereditary breast and ovarian cancer, sequence variants with unknown clinical significance or variant of uncertain significance (VUS) have limited use in medical decision-making. With vast quantities of gene-related data being updated, the clinical significance of VUS may change over time. We reinterpreted the sequence variant previously reported as BRCA1/2 VUS results in patients with breast or ovarian cancer and assessed whether the clinical significance of VUS was changed. METHODS We retrospectively reviewed medical records of 423 breast or ovarian cancer patients who underwent BRCA1/2 genetic testing from 2010 to 2017. The VUSs in BRCA1/2 were reanalyzed using the 2015 American College of Medical Genetics and Genomics and the Association for Molecular Pathology standards and guidelines (ACMG/AMP 2015 guidelines) and the VUS was reclassified into five categories: "pathogenic", "likely pathogenic", "VUS", "likely benign", and "benign". RESULTS A total of 75 patients (48 sequence types of VUS) were identified as carrying either one or more VUS in BRCA1/2. Among the 75 patients, two patients (2.7%) were reclassified as "likely pathogenic", 30 patients (40.0%) were reclassified as either "benign" or "likely benign", and the remaining 43 patients (57.3%) were still classified as VUS category. CONCLUSIONS Since the clinical significance of VUS in BRCA1/2 may vary from time to time, reinterpretation of the VUS results could contribute to clinical decision-making.
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30
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Caleca L, Colombo M, van Overeem Hansen T, Lázaro C, Manoukian S, Parsons MT, Spurdle AB, Radice P. GFP-Fragment Reassembly Screens for the Functional Characterization of Variants of Uncertain Significance in Protein Interaction Domains of the BRCA1 and BRCA2 Genes. Cancers (Basel) 2019; 11:E151. [PMID: 30696104 PMCID: PMC6406614 DOI: 10.3390/cancers11020151] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 01/22/2019] [Indexed: 01/14/2023] Open
Abstract
Genetic testing for BRCA1 and BRCA2 genes has led to the identification of many unique variants of uncertain significance (VUS). Multifactorial likelihood models that predict the odds ratio for VUS in favor or against cancer causality, have been developed, but their use is conditioned by the amount of necessary data, which are difficult to obtain if a variant is rare. As an alternative, variants mapping to the coding regions can be examined using in vitro functional assays. BRCA1 and BRCA2 proteins promote genome protection by interacting with different proteins. In this study, we assessed the functional effect of two sets of variants in BRCA genes by exploiting the green fluorescent protein (GFP)-reassembly in vitro assay, which was set-up to test the BRCA1/BARD1, BRCA1/UbcH5a, and BRCA2/DSS1 interactions. Based on the findings observed for the validation panels of previously classified variants, BRCA1/UbcH5a and BRCA2/DSS1 binding assays showed 100% sensitivity and specificity in identifying pathogenic and non-pathogenic variants. While the actual efficiency of these assays in assessing the clinical significance of BRCA VUS has to be verified using larger validation panels, our results suggest that the GFP-reassembly assay is a robust method to identify variants affecting normal protein functioning and contributes to the classification of VUS.
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Affiliation(s)
- Laura Caleca
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
| | - Mara Colombo
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
| | - Thomas van Overeem Hansen
- Center for Genomic Medicine, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
- Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
| | - Conxi Lázaro
- Hereditary Cancer Program, Catalan Institute of Oncology. Program in Molecular Mechanisms and Experimental Therapy in Oncology (Oncobell), IDIBELL, Hospitalet de Llobregat, 08900 Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain.
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
| | - Michael T Parsons
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane 4029, Australia.
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane 4029, Australia.
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
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31
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Burke LJ, Sevcik J, Gambino G, Tudini E, Mucaki EJ, Shirley BC, Whiley P, Parsons MT, De Leeneer K, Gutiérrez‐Enríquez S, Santamariña M, Caputo SM, Santana dos Santos E, Soukupova J, Janatova M, Zemankova P, Lhotova K, Stolarova L, Borecka M, Moles‐Fernández A, Manoukian S, Bonanni B, Edwards SL, Blok MJ, van Overeem Hansen T, Rossing M, Diez O, Vega A, Claes KB, Goldgar DE, Rouleau E, Radice P, Peterlongo P, Rogan PK, Caligo M, Spurdle AB, Brown MA. BRCA1 and BRCA2 5' noncoding region variants identified in breast cancer patients alter promoter activity and protein binding. Hum Mutat 2018; 39:2025-2039. [PMID: 30204945 PMCID: PMC6282814 DOI: 10.1002/humu.23652] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 09/01/2018] [Accepted: 09/07/2018] [Indexed: 12/13/2022]
Abstract
The widespread use of next generation sequencing for clinical testing is detecting an escalating number of variants in noncoding regions of the genome. The clinical significance of the majority of these variants is currently unknown, which presents a significant clinical challenge. We have screened over 6,000 early-onset and/or familial breast cancer (BC) cases collected by the ENIGMA consortium for sequence variants in the 5' noncoding regions of BC susceptibility genes BRCA1 and BRCA2, and identified 141 rare variants with global minor allele frequency < 0.01, 76 of which have not been reported previously. Bioinformatic analysis identified a set of 21 variants most likely to impact transcriptional regulation, and luciferase reporter assays detected altered promoter activity for four of these variants. Electrophoretic mobility shift assays demonstrated that three of these altered the binding of proteins to the respective BRCA1 or BRCA2 promoter regions, including NFYA binding to BRCA1:c.-287C>T and PAX5 binding to BRCA2:c.-296C>T. Clinical classification of variants affecting promoter activity, using existing prediction models, found no evidence to suggest that these variants confer a high risk of disease. Further studies are required to determine if such variation may be associated with a moderate or low risk of BC.
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Affiliation(s)
- Leslie J. Burke
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
| | - Jan Sevcik
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Gaetana Gambino
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
- Section of Molecular GeneticsDepartment of Laboratory MedicineUniversity Hospital of PisaPisaItaly
| | - Emma Tudini
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Eliseos J. Mucaki
- University of Western Ontario, Department of BiochemistrySchulich School of Medicine and DentistryLondonOntarioCanada
| | | | - Phillip Whiley
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Michael T. Parsons
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Kim De Leeneer
- Center for Medical GeneticsGhent University Hospitaland Cancer Research Institute Ghent (CRIG)Ghent UniversityGhentBelgium
| | | | - Marta Santamariña
- Fundación Pública Galega de Medicina Xenómica‐SERGASGrupo de Medicina Xenómica‐USC, CIBERER, IDISSantiago de CompostelaSpain
| | - Sandrine M. Caputo
- Service de GénétiqueDepartment de Biologie des TumeursInstitut CurieParisFrance
| | - Elizabeth Santana dos Santos
- Service de GénétiqueDepartment de Biologie des TumeursInstitut CurieParisFrance
- Department of oncologyCenter for Translational OncologyCancer Institute of the State of São Paulo ‐ ICESPSão PauloBrazil
- A.C.Camargo Cancer CenterSão PauloBrazil
| | - Jana Soukupova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Marketa Janatova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Petra Zemankova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Klara Lhotova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Lenka Stolarova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Mariana Borecka
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | | | - Siranoush Manoukian
- Unit of Medical GeneticsDepartment of Medical Oncology and HematologyFondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico) Istituto Nazionale dei Tumori (INT)MilanItaly
| | - Bernardo Bonanni
- Division of Cancer Prevention and GeneticsIstituto Europeo di OncologiaMilanItaly
| | - ENIGMA Consortium
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
| | - Stacey L. Edwards
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Marinus J. Blok
- Department of Clinical GeneticsMaastricht University Medical CentreMaastrichtThe Netherlands
| | | | - Maria Rossing
- Center for Genomic MedicineCopenhagen University Hospital, RigshospitaletCopenhagenDenmark
| | - Orland Diez
- Oncogenetics GroupVall d'Hebron Institute of Oncology (VHIO)BarcelonaSpain
- Area of Clinical and Molecular GeneticsUniversity Hospital Vall d'Hebron (UHVH)BarcelonaSpain
| | - Ana Vega
- Fundación Pública Galega de Medicina Xenómica‐SERGASGrupo de Medicina Xenómica‐USC, CIBERER, IDISSantiago de CompostelaSpain
| | - Kathleen B.M. Claes
- Center for Medical GeneticsGhent University Hospitaland Cancer Research Institute Ghent (CRIG)Ghent UniversityGhentBelgium
| | | | | | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic TestingDepartment of ResearchFondazione IRCCS Istituto Nazionale dei Tumori di MilanoMilanItaly
| | | | - Peter K. Rogan
- University of Western Ontario, Department of BiochemistrySchulich School of Medicine and DentistryLondonOntarioCanada
- CytoGnomix Inc.LondonOntarioCanada
| | - Maria Caligo
- Section of Molecular GeneticsDepartment of Laboratory MedicineUniversity Hospital of PisaPisaItaly
| | - Amanda B. Spurdle
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Melissa A. Brown
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
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32
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Langerud J, Jarhelle E, Van Ghelue M, Ariansen SL, Iversen N. Trans-activation-based risk assessment of BRCA1 BRCT variants with unknown clinical significance. Hum Genomics 2018; 12:51. [PMID: 30458859 PMCID: PMC6247502 DOI: 10.1186/s40246-018-0183-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 11/08/2018] [Indexed: 11/30/2022] Open
Abstract
Background Deleterious variants in the tumour suppressor BRCA1 are known to cause hereditary breast and ovarian cancer syndrome (HBOC). Missense variants in BRCA1 pose a challenge in clinical care, as their effect on protein functionality often remains unknown. Many of the pathogenic missense variants found in BRCA1 are located in the BRCA1 C-terminal (BRCT) domains, domains that are known to be vital for key functions such as homologous recombination repair, protein-protein interactions and trans-activation (TA). We investigated the TA activity of 12 BRCA1 variants of unknown clinical significance (VUSs) located in the BRCT domains to aid in the classification of these variants. Results Twelve BRCA1 VUSs were investigated using a modified version of the dual luciferase TA activity assay (TA assay) that yielded increased sensitivity and sample throughput. Variants were classified according to American College of Medical Genetics and Genomics (ACMG) criteria using TA assay results and available data. In combining our TA-assay results and available data, in accordance with the ACMG guidelines for variant classification, we proposed the following variant classifications: c.5100A>G, c.5326C>T, c.5348T>C and c.5477A>T as likely benign (class 2) variants. c.5075A>C, c.5116G>A and c.5513T>G were likely pathogenic (class 4), whereas c.5096G>A likely represents a likely pathogenic variant with moderate penetrance. Variants c.5123C>T, c.5125G>A, c.5131A>C and c.5504G>A remained classified as VUSs (class 3). Conclusions The modified TA assay provides efficient risk assessment of rare missense variants found in the BRCA1 BRCT-domains. We also report that increased post-transfection incubation time yielded a significant increase in TA assay sensitivity. Electronic supplementary material The online version of this article (10.1186/s40246-018-0183-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jonas Langerud
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Elisabeth Jarhelle
- Department of Medical Genetics, Division of Child and Adolescent Health, University Hospital of North Norway, Tromsø, Norway
| | - Marijke Van Ghelue
- Department of Medical Genetics, Division of Child and Adolescent Health, University Hospital of North Norway, Tromsø, Norway
| | | | - Nina Iversen
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.
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Lesueur F, Mebirouk N, Jiao Y, Barjhoux L, Belotti M, Laurent M, Léone M, Houdayer C, Bressac-de Paillerets B, Vaur D, Sobol H, Noguès C, Longy M, Mortemousque I, Fert-Ferrer S, Mouret-Fourme E, Pujol P, Venat-Bouvet L, Bignon YJ, Leroux D, Coupier I, Berthet P, Mari V, Delnatte C, Gesta P, Collonge-Rame MA, Giraud S, Bonadona V, Baurand A, Faivre L, Buecher B, Lasset C, Gauthier-Villars M, Damiola F, Mazoyer S, Caputo SM, Andrieu N, Stoppa-Lyonnet D. GEMO, a National Resource to Study Genetic Modifiers of Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Pathogenic Variant Carriers. Front Oncol 2018; 8:490. [PMID: 30430080 PMCID: PMC6220051 DOI: 10.3389/fonc.2018.00490] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Accepted: 10/11/2018] [Indexed: 02/03/2023] Open
Affiliation(s)
- Fabienne Lesueur
- INSERM, U900, Institut Curie, PSL Research University, Mines ParisTech, Paris, France
| | - Noura Mebirouk
- INSERM, U900, Institut Curie, PSL Research University, Mines ParisTech, Paris, France
| | - Yue Jiao
- Service de Génétique, Institut Curie, Paris, France
| | | | | | | | - Mélanie Léone
- Hospices Civils de Lyon, Groupement Hospitalier EST, Bron, France
| | | | | | - Dominique Vaur
- Département de Biopathologie, Centre François Baclesse, Caen, France
| | - Hagay Sobol
- Institut Paoli Calmette, Département d'Anticipation et de Suivi des Cancers, Oncogénétique, Faculté de Médecine, Université d'Aix-Marseille, Marseille, France
| | - Catherine Noguès
- Institut Paoli Calmette, Département d'Anticipation et de Suivi des Cancers, Oncogénétique, Faculté de Médecine, Université d'Aix-Marseille, Marseille, France
| | - Michel Longy
- Biopathologie, Institut Bergonié, Bordeaux, France
| | | | | | | | - Pascal Pujol
- Service de Génétique Médicale et Oncogénétique, Hôpital Arnaud de Villeneuve, CHU Montpellier, INSERM 896, CRCM Val d'Aurelle, Montpellier, France
| | | | - Yves-Jean Bignon
- Université Clermont Auvergne, INSERM, U1240, Centre Jean Perrin, Clermont-Ferrand, France
| | - Dominique Leroux
- Département de Génétique, CHU de Grenoble, Hôpital Couple-Enfant, Grenoble, France
| | - Isabelle Coupier
- Service de Génétique Médicale et Oncogénétique, Hôpital Arnaud de Villeneuve, CHU Montpellier, INSERM 896, CRCM Val d'Aurelle, Montpellier, France
| | - Pascaline Berthet
- Département de Biopathologie, Centre François Baclesse, Caen, France
| | - Véronique Mari
- Unité d'Oncogénétique, Centre Antoine Lacassagne, Nice, France
| | | | - Paul Gesta
- Service d'Oncogénétique Régional Poitou-Charentes, Niort, France
| | - Marie-Agnès Collonge-Rame
- Service Génétique et Biologie du Développement-Histologie, CHU Hôpital Saint-Jacques, Besançon, France
| | - Sophie Giraud
- Hospices Civils de Lyon, Groupement Hospitalier EST, Bron, France
| | - Valérie Bonadona
- Université Claude Bernard Lyon 1, Villeurbanne, France.,CNRS UMR 5558; Unité de Prévention et Epidémiologie Génétique, Centre Léon Bérard, Lyon, France
| | - Amandine Baurand
- Institut GIMI, CHU de Dijon et Centre de Lutte contre le Cancer Georges François Leclerc, Dijon, France
| | - Laurence Faivre
- Institut GIMI, CHU de Dijon et Centre de Lutte contre le Cancer Georges François Leclerc, Dijon, France
| | | | - Christine Lasset
- Université Claude Bernard Lyon 1, Villeurbanne, France.,CNRS UMR 5558; Unité de Prévention et Epidémiologie Génétique, Centre Léon Bérard, Lyon, France
| | | | | | - Sylvie Mazoyer
- INSERM, U1028, CNRS, UMR5292, Centre de Recherche en Neurosciences de Lyon, Lyon, France
| | | | - Nadine Andrieu
- INSERM, U900, Institut Curie, PSL Research University, Mines ParisTech, Paris, France
| | - Dominique Stoppa-Lyonnet
- Service de Génétique, Institut Curie, Paris, France.,INSERM, U830, Université Paris Descartes, Paris, France
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ClinPred: Prediction Tool to Identify Disease-Relevant Nonsynonymous Single-Nucleotide Variants. Am J Hum Genet 2018; 103:474-483. [PMID: 30220433 DOI: 10.1016/j.ajhg.2018.08.005] [Citation(s) in RCA: 108] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 08/08/2018] [Indexed: 02/08/2023] Open
Abstract
Advances in high-throughput DNA sequencing have revolutionized the discovery of variants in the human genome; however, interpreting the phenotypic effects of those variants is still a challenge. While several computational approaches to predict variant impact are available, their accuracy is limited and further improvement is needed. Here, we introduce ClinPred, an efficient tool for identifying disease-relevant nonsynonymous variants. Our predictor incorporates two machine learning algorithms that use existing pathogenicity scores and, notably, benefits from inclusion of normal population allele frequency from the gnomAD database as an input feature. Another major strength of our approach is the use of ClinVar-a rapidly growing database that allows selection of confidently annotated disease-causing variants-as a training set. Compared to other methods, ClinPred showed superior accuracy for predicting pathogenicity, achieving the highest area under the curve (AUC) score and increasing both the specificity and sensitivity in different test datasets. It also obtained the best performance according to various other metrics. Moreover, ClinPred performance remained robust with respect to disease type (cancer or rare disease) and mechanism (gain or loss of function). Importantly, we observed that adding allele frequency as a predictive feature-as opposed to setting fixed allele frequency cutoffs-boosts the performance of prediction. We provide pre-computed ClinPred scores for all possible human missense variants in the exome to facilitate its use by the community.
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35
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Findlay GM, Daza RM, Martin B, Zhang MD, Leith AP, Gasperini M, Janizek JD, Huang X, Starita LM, Shendure J. Accurate classification of BRCA1 variants with saturation genome editing. Nature 2018; 562:217-222. [PMID: 30209399 PMCID: PMC6181777 DOI: 10.1038/s41586-018-0461-z] [Citation(s) in RCA: 463] [Impact Index Per Article: 77.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 07/26/2018] [Indexed: 12/14/2022]
Abstract
Variants of uncertain significance fundamentally limit the clinical utility of genetic information. The challenge they pose is epitomized by BRCA1, a tumour suppressor gene in which germline loss-of-function variants predispose women to breast and ovarian cancer. Although BRCA1 has been sequenced in millions of women, the risk associated with most newly observed variants cannot be definitively assigned. Here we use saturation genome editing to assay 96.5% of all possible single-nucleotide variants (SNVs) in 13 exons that encode functionally critical domains of BRCA1. Functional effects for nearly 4,000 SNVs are bimodally distributed and almost perfectly concordant with established assessments of pathogenicity. Over 400 non-functional missense SNVs are identified, as well as around 300 SNVs that disrupt expression. We predict that these results will be immediately useful for the clinical interpretation of BRCA1 variants, and that this approach can be extended to overcome the challenge of variants of uncertain significance in additional clinically actionable genes.
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Affiliation(s)
- Gregory M Findlay
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Riza M Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Beth Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Melissa D Zhang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Anh P Leith
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Molly Gasperini
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Joseph D Janizek
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Lea M Starita
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
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36
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Petitalot A, Dardillac E, Jacquet E, Nhiri N, Guirouilh-Barbat J, Julien P, Bouazzaoui I, Bonte D, Feunteun J, Schnell JA, Lafitte P, Aude JC, Noguès C, Rouleau E, Lidereau R, Lopez BS, Zinn-Justin S, Caputo SM. Combining Homologous Recombination and Phosphopeptide-binding Data to Predict the Impact of BRCA1 BRCT Variants on Cancer Risk. Mol Cancer Res 2018; 17:54-69. [PMID: 30257991 DOI: 10.1158/1541-7786.mcr-17-0357] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 02/07/2018] [Accepted: 09/11/2018] [Indexed: 11/16/2022]
Abstract
BRCA1 mutations have been identified that increase the risk of developing hereditary breast and ovarian cancers. Genetic screening is now offered to patients with a family history of cancer, to adapt their treatment and the management of their relatives. However, a large number of BRCA1 variants of uncertain significance (VUS) are detected. To better understand the significance of these variants, a high-throughput structural and functional analysis was performed on a large set of BRCA1 VUS. Information on both cellular localization and homology-directed DNA repair (HR) capacity was obtained for 78 BRCT missense variants in the UMD-BRCA1 database and measurement of the structural stability and phosphopeptide-binding capacities was performed for 42 mutated BRCT domains. This extensive and systematic analysis revealed that most characterized causal variants affect BRCT-domain solubility in bacteria and all impair BRCA1 HR activity in cells. Furthermore, binding to a set of 5 different phosphopeptides was tested: all causal variants showed phosphopeptide-binding defects and no neutral variant showed such defects. A classification is presented on the basis of mutated BRCT domain solubility, phosphopeptide-binding properties, and VUS HR capacity. These data suggest that HR-defective variants, which present, in addition, BRCT domains either insoluble in bacteria or defective for phosphopeptide binding, lead to an increased cancer risk. Furthermore, the data suggest that variants with a WT HR activity and whose BRCT domains bind with a WT affinity to the 5 phosphopeptides are neutral. The case of variants with WT HR activity and defective phosphopeptide binding should be further characterized, as this last functional defect might be sufficient per se to lead to tumorigenesis. IMPLICATIONS: The analysis of the current study on BRCA1 structural and functional defects on cancer risk and classification presented may improve clinical interpretation and therapeutic selection.
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Affiliation(s)
- Ambre Petitalot
- Service de Génétique, Département de Biologie des Tumeurs, Institut Curie, Paris, France.,Institut de Biologie Intégrative de la Cellule, CEA, CNRS, Université Paris Sud, UMR 9198, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Elodie Dardillac
- Institut Gustave Roussy, CNRS UMR 8200, Université Paris-Saclay, Villejuif, France.,Team labeled "Ligue 2014," Villejuif, France
| | - Eric Jacquet
- Institut de Chimie des Substances Naturelles, CNRS UPR 2301, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Naima Nhiri
- Institut de Chimie des Substances Naturelles, CNRS UPR 2301, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Josée Guirouilh-Barbat
- Institut Gustave Roussy, CNRS UMR 8200, Université Paris-Saclay, Villejuif, France.,Team labeled "Ligue 2014," Villejuif, France
| | - Patrick Julien
- Service de Génétique, Département de Biologie des Tumeurs, Institut Curie, Paris, France
| | - Isslam Bouazzaoui
- Institut de Biologie Intégrative de la Cellule, CEA, CNRS, Université Paris Sud, UMR 9198, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Dorine Bonte
- Institut Gustave Roussy, CNRS UMR 8200, Université Paris-Saclay, Villejuif, France
| | - Jean Feunteun
- Institut Gustave Roussy, CNRS UMR 8200, Université Paris-Saclay, Villejuif, France
| | - Jeff A Schnell
- Institut de Chimie des Substances Naturelles, CNRS UPR 2301, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Philippe Lafitte
- Service de Génétique, Département de Biologie des Tumeurs, Institut Curie, Paris, France
| | - Jean-Christophe Aude
- Institut de Biologie Intégrative de la Cellule, CEA, CNRS, Université Paris Sud, UMR 9198, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Catherine Noguès
- Service de Génétique, Département de Biologie des Tumeurs, Institut Curie, Paris, France
| | - Etienne Rouleau
- Service de Génétique, Département de Biologie des Tumeurs, Institut Curie, Paris, France
| | - Rosette Lidereau
- Service de Génétique, Département de Biologie des Tumeurs, Institut Curie, Paris, France
| | - Bernard S Lopez
- Institut Gustave Roussy, CNRS UMR 8200, Université Paris-Saclay, Villejuif, France.,Team labeled "Ligue 2014," Villejuif, France
| | - Sophie Zinn-Justin
- Institut de Biologie Intégrative de la Cellule, CEA, CNRS, Université Paris Sud, UMR 9198, Université Paris-Saclay, Gif-sur-Yvette, France.
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37
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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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38
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Brnich SE, Rivera-Muñoz EA, Berg JS. Quantifying the potential of functional evidence to reclassify variants of uncertain significance in the categorical and Bayesian interpretation frameworks. Hum Mutat 2018; 39:1531-1541. [PMID: 30095857 PMCID: PMC6548460 DOI: 10.1002/humu.23609] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 07/13/2018] [Accepted: 08/03/2018] [Indexed: 12/21/2022]
Abstract
Additional variant interpretation tools are required to effectively harness genomic sequencing for clinical applications. The American College of Medical Genetics and Genomics (ACMG) and Association for Molecular Pathology (AMP) published guidelines for clinical sequence variant interpretation, incorporating different types of data that lend varying levels of support towards a benign or pathogenic interpretation. Variants of uncertain significance (VUS) are those with either contradictory or insufficient evidence, and their uncertainty complicates patient counseling and management. Functional assays may provide a solution to evidence gaps relegating variants to the VUS category, but the impact of functional evidence in this framework has not been assessed. We employ an algorithmic analysis of the ACMG/AMP combining rules to assess how the availability of strong functional evidence could theoretically improve the ability to make a benign or pathogenic assertion. We follow this with analysis of actual evidence combinations met by variants through expert curations as part of the Clinical Genome Resource (ClinGen). We also examine the impact of functional evidence in a Bayesian adaptation of the ACMG/AMP framework. This lays the groundwork for an evidence-based prioritization of assay development and variant assessment by identifying genes and variants that may benefit the most from functional data.
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Affiliation(s)
- Sarah E. Brnich
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Edgar A. Rivera-Muñoz
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jonathan S. Berg
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Author to whom correspondence should be addressed: Jonathan S. Berg, University of North Carolina at Chapel Hill, Department of Genetics, 120 Mason Farm Rd., Chapel Hill, NC 27599, USA Tel: (919) 966-7043,
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39
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Substantial evidence for the clinical significance of missense variant BRCA1 c.5309G>T p.(Gly1770Val). Breast Cancer Res Treat 2018; 172:497-503. [PMID: 30105462 DOI: 10.1007/s10549-018-4903-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 07/24/2018] [Indexed: 02/07/2023]
Abstract
PURPOSE Classification of rare BRCA1 missense variants presents a major challenge for the counseling and treatment of patients. Variant classification can be complicated by conflicting lines of evidence. BRCA1 c.5309G>T p.(Gly1770Val) has been shown to abrogate BRCA1 protein homologous DNA repair; however, multiple sequence alignment demonstrates a lack of sequence conservation at this position, suggesting that glycine at position 1770 may not be essential for cellular maintenance in humans. We analyzed clinical information to resolve the classification of BRCA1 c.5309G>T p.(Gly1770Val). METHODS We performed multifactorial likelihood analysis combining segregation data for 14 informative families, and breast tumor histopathological data for 17 variant carriers, ascertained through the ENIGMA consortium. RESULTS Bayes segregation analysis gave a likelihood ratio of 101:1 in favor of pathogenicity. The vast majority of breast tumors showed features indicative of pathogenic variant carrier status, resulting in a likelihood ratio of 15800794:1 towards pathogenicity. Despite a low prior probability of pathogenicity (0.03) based on bioinformatic prediction, multifactorial likelihood analysis including segregation and histopathology analysis gave a posterior probability of > 0.99 and final classification of Pathogenic. CONCLUSIONS We provide evidence that BRCA1 c.5309G>T p.(Gly1770Val), previously described as a Moroccan founder variant, should be treated as a disease-causing variant despite a lack of evolutionary conservation at this amino acid position. Additionally, we stress that bioinformatic information should be used in combination with other data, either direct clinical evidence or some form of clinical calibration, to arrive at a final clinical classification.
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40
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Mercatanti A, Lodovichi S, Cervelli T, Galli A. CRIMEtoYHU: a new web tool to develop yeast-based functional assays for characterizing cancer-associated missense variants. FEMS Yeast Res 2018; 17:4562592. [PMID: 29069390 DOI: 10.1093/femsyr/fox078] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 09/25/2017] [Indexed: 12/13/2022] Open
Abstract
Evaluation of the functional impact of cancer-associated missense variants is more difficult than for protein-truncating mutations and consequently standard guidelines for the interpretation of sequence variants have been recently proposed. A number of algorithms and software products were developed to predict the impact of cancer-associated missense mutations on protein structure and function. Importantly, direct assessment of the variants using high-throughput functional assays using simple genetic systems can help in speeding up the functional evaluation of newly identified cancer-associated variants. We developed the web tool CRIMEtoYHU (CTY) to help geneticists in the evaluation of the functional impact of cancer-associated missense variants. Humans and the yeast Saccharomyces cerevisiae share thousands of protein-coding genes although they have diverged for a billion years. Therefore, yeast humanization can be helpful in deciphering the functional consequences of human genetic variants found in cancer and give information on the pathogenicity of missense variants. To humanize specific positions within yeast genes, human and yeast genes have to share functional homology. If a mutation in a specific residue is associated with a particular phenotype in humans, a similar substitution in the yeast counterpart may reveal its effect at the organism level. CTY simultaneously finds yeast homologous genes, identifies the corresponding variants and determines the transferability of human variants to yeast counterparts by assigning a reliability score (RS) that may be predictive for the validity of a functional assay. CTY analyzes newly identified mutations or retrieves mutations reported in the COSMIC database, provides information about the functional conservation between yeast and human and shows the mutation distribution in human genes. CTY analyzes also newly found mutations and aborts when no yeast homologue is found. Then, on the basis of the protein domain localization and functional conservation between yeast and human, the selected variants are ranked by the RS. The RS is assigned by an algorithm that computes functional data, type of mutation, chemistry of amino acid substitution and the degree of mutation transferability between human and yeast protein. Mutations giving a positive RS are highly transferable to yeast and, therefore, yeast functional assays will be more predictable. To validate the web application, we have analyzed 8078 cancer-associated variants located in 31 genes that have a yeast homologue. More than 50% of variants are transferable to yeast. Incidentally, 88% of all transferable mutations have a reliability score >0. Moreover, we analyzed by CTY 72 functionally validated missense variants located in yeast genes at positions corresponding to the human cancer-associated variants. All these variants gave a positive RS. To further validate CTY, we analyzed 3949 protein variants (with positive RS) by the predictive algorithm PROVEAN. This analysis shows that yeast-based functional assays will be more predictable for the variants with positive RS. We believe that CTY could be an important resource for the cancer research community by providing information concerning the functional impact of specific mutations, as well as for the design of functional assays useful for decision support in precision medicine.
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Affiliation(s)
- Alberto Mercatanti
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, via G. Moruzzi 1, 56124 Pisa, Italy
| | - Samuele Lodovichi
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, via G. Moruzzi 1, 56124 Pisa, Italy
- PhD program in Clinical and Translational Science, University of Pisa, Pisa, Italy
| | - Tiziana Cervelli
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, via G. Moruzzi 1, 56124 Pisa, Italy
| | - Alvaro Galli
- Yeast Genetics and Genomics Group, Laboratory of Functional Genetics and Genomics, Institute of Clinical Physiology CNR, via G. Moruzzi 1, 56124 Pisa, Italy
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41
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Strande NT, Brnich SE, Roman TS, Berg JS. Navigating the nuances of clinical sequence variant interpretation in Mendelian disease. Genet Med 2018; 20:918-926. [PMID: 29988079 PMCID: PMC6679919 DOI: 10.1038/s41436-018-0100-y] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 06/12/2018] [Indexed: 12/24/2022] Open
Abstract
Understanding clinical genetic test results in the era of next-generation sequencing has become increasingly complex, necessitating clear and thorough guidelines for sequence variant interpretation. To meet this need the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) published guidelines for a systematic approach for sequence variant interpretation in 2015. This framework is intended to be adaptable to any Mendelian condition, promoting transparency and consistency in variant interpretation, yet its comprehensive nature yields important challenges and caveats that end users must understand. In this review, we address some of these nuances and discuss the evolving efforts to refine and adapt this framework. We also consider the added complexity of distinguishing between variant-level interpretations and case-level conclusions, particularly in the context of the large gene panel approach to clinical diagnostics.
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Affiliation(s)
- Natasha T Strande
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Sarah E Brnich
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Tamara S Roman
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jonathan S Berg
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
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42
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Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models. Genet Med 2018; 21:71-80. [PMID: 29884841 PMCID: PMC6287763 DOI: 10.1038/s41436-018-0018-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 03/20/2018] [Indexed: 01/08/2023] Open
Abstract
Purpose: To improve methods for predicting the impact of missense variants of
uncertain significance (VUS) in BRCA1 and
BRCA2 on protein function. Methods: Functional data for 248 BRCA1 and 207
BRCA2 variants from assays with established high
sensitivity and specificity for damaging variants were used to recalibrate
40 in silico algorithms predicting the impact of variants
on protein activity. Additional RandomForest (RF) and Naïve Voting
Method (NVM) meta-predictors for both BRCA1 and
BRCA2 were developed to increase predictive
accuracy. Results: Optimized thresholds for in silico prediction models
significantly improved the accuracy of predicted functional effects for
BRCA1 and BRCA2 variants. In addition,
new BRCA1-RF and BRCA2-RF meta-predictors showed AUC values of 0.92
(95%CI:0.88–0.96) and 0.90 (95%CI:0.84–0.95), respectively.
Similarly, the BRCA1-NVM and BRCA2-NVM models had AUCs of 0.93 and 0.90. The
RF and NVM models were used to predict the pathogenicity of all possible
missense variants in BRCA1 and BRCA2. Conclusion: The recalibrated algorithms and new meta-predictors significantly
improved upon current models for predicting the impact of variants in cancer
risk-associated domains of BRCA1 and
BRCA2. Prediction of the functional impact of all possible
variants in BRCA1 and BRCA2 provides
important information about the clinical relevance of variants in these
genes.
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43
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Nesic K, Wakefield M, Kondrashova O, Scott CL, McNeish IA. Targeting DNA repair: the genome as a potential biomarker. J Pathol 2018; 244:586-597. [PMID: 29282716 DOI: 10.1002/path.5025] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 12/14/2017] [Accepted: 12/16/2017] [Indexed: 01/18/2023]
Abstract
Genomic instability and mutations are fundamental aspects of human malignancies, leading to progressive accumulation of the hallmarks of cancer. For some time, it has been clear that key mutations may be used as both prognostic and predictive biomarkers, the best-known examples being the presence of germline BRCA1 or BRCA2 mutations, which are not only associated with improved prognosis in ovarian cancer, but are also predictive of response to poly(ADP-ribose) polymerase (PARP) inhibitors. Although biomarkers as specific and powerful as these are rare in human malignancies, next-generation sequencing and improved bioinformatic analyses are revealing mutational signatures, i.e. broader patterns of alterations in the cancer genome that have the power to reveal information about underlying driver mutational processes. Thus, the cancer genome can act as a stratification factor in clinical trials and, ultimately, will be used to drive personalized treatment decisions. In this review, we use ovarian high-grade serous carcinoma (HGSC) as an example of a disease of extreme genomic complexity that is marked by widespread copy number alterations, but that lacks powerful driver oncogene mutations. Understanding of the genomics of HGSC has led to the routine introduction of germline and somatic BRCA1/2 testing, as well as testing of mutations in other homologous recombination genes, widening the range of patients who may benefit from PARP inhibitors. We will discuss how whole genome-wide analyses, including loss of heterozygosity quantification and whole genome sequencing, may extend this paradigm to allow all patients to benefit from effective targeted therapies. Copyright © 2017 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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MESH Headings
- Animals
- BRCA1 Protein/genetics
- BRCA2 Protein/genetics
- Biomarkers, Tumor/genetics
- Clinical Decision-Making
- DNA Damage
- DNA Repair
- Female
- Genetic Predisposition to Disease
- Genomics/methods
- Humans
- Mutation
- Neoplasm Grading
- Neoplasms, Cystic, Mucinous, and Serous/drug therapy
- Neoplasms, Cystic, Mucinous, and Serous/genetics
- Neoplasms, Cystic, Mucinous, and Serous/pathology
- Ovarian Neoplasms/drug therapy
- Ovarian Neoplasms/genetics
- Ovarian Neoplasms/pathology
- Pathology, Molecular/methods
- Phenotype
- Precision Medicine
- Predictive Value of Tests
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Affiliation(s)
- Ksenija Nesic
- Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Matthew Wakefield
- Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Melbourne Bioinformatics, University of Melbourne, Parkville, Victoria, Australia
| | - Olga Kondrashova
- Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Clare L Scott
- Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
- Royal Women's Hospital, Parkville, Victoria, Australia
- Peter MacCallum Cancer Centre, Parkville, Victoria, Australia
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44
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Chen CC, Feng W, Lim PX, Kass EM, Jasin M. Homology-Directed Repair and the Role of BRCA1, BRCA2, and Related Proteins in Genome Integrity and Cancer. ANNUAL REVIEW OF CANCER BIOLOGY 2018; 2:313-336. [PMID: 30345412 PMCID: PMC6193498 DOI: 10.1146/annurev-cancerbio-030617-050502] [Citation(s) in RCA: 188] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Germ-line and somatic mutations in genes that promote homology-directed repair (HDR), especially BRCA1 and BRCA2, are frequently observed in several cancers, in particular, breast and ovary but also prostate and other cancers. HDR is critical for the error-free repair of DNA double-strand breaks and other lesions, and HDR factors also protect stalled replication forks. As a result, loss of BRCA1 or BRCA2 poses significant risks to genome integrity, leading not only to cancer predisposition but also to sensitivity to DNA-damaging agents, affecting therapeutic approaches. Here we review recent advances in our understanding of BRCA1 and BRCA2, including how they genetically interact with other repair factors, how they protect stalled replication forks, how they affect the response to aldehydes, and how loss of their functions links to mutation signatures. Importantly, given the recent advances with poly(ADP-ribose) polymerase inhibitors (PARPi) for the treatment of HDR-deficient tumors, we discuss mechanisms by which BRCA-deficient tumors acquire resistance to PARPi and other agents.
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Affiliation(s)
- Chun-Chin Chen
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY 10065
| | - Weiran Feng
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065
- Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065
| | - Pei Xin Lim
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065
| | - Elizabeth M Kass
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065
| | - Maria Jasin
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY 10065
- Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065
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45
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She R, Jarosz DF. Mapping Causal Variants with Single-Nucleotide Resolution Reveals Biochemical Drivers of Phenotypic Change. Cell 2018; 172:478-490.e15. [PMID: 29373829 PMCID: PMC5788306 DOI: 10.1016/j.cell.2017.12.015] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 10/21/2017] [Accepted: 12/06/2017] [Indexed: 12/13/2022]
Abstract
Understanding the sequence determinants that give rise to diversity among individuals and species is the central challenge of genetics. However, despite ever greater numbers of sequenced genomes, most genome-wide association studies cannot distinguish causal variants from linked passenger mutations spanning many genes. We report that this inherent challenge can be overcome in model organisms. By pushing the advantages of inbred crossing to its practical limit in Saccharomyces cerevisiae, we improved the statistical resolution of linkage analysis to single nucleotides. This "super-resolution" approach allowed us to map 370 causal variants across 26 quantitative traits. Missense, synonymous, and cis-regulatory mutations collectively gave rise to phenotypic diversity, providing mechanistic insight into the basis of evolutionary divergence. Our data also systematically unmasked complex genetic architectures, revealing that multiple closely linked driver mutations frequently act on the same quantitative trait. Single-nucleotide mapping thus complements traditional deletion and overexpression screening paradigms and opens new frontiers in quantitative genetics.
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Affiliation(s)
- Richard She
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daniel F Jarosz
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
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46
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Baert A, Machackova E, Coene I, Cremin C, Turner K, Portigal-Todd C, Asrat MJ, Nuk J, Mindlin A, Young S, MacMillan A, Van Maerken T, Trbusek M, McKinnon W, Wood ME, Foulkes WD, Santamariña M, de la Hoya M, Foretova L, Poppe B, Vral A, Rosseel T, De Leeneer K, Vega A, Claes KBM. Thorough in silico and in vitro cDNA analysis of 21 putative BRCA1 and BRCA2 splice variants and a complex tandem duplication in BRCA2 allowing the identification of activated cryptic splice donor sites in BRCA2 exon 11. Hum Mutat 2018; 39:515-526. [PMID: 29280214 DOI: 10.1002/humu.23390] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 11/03/2017] [Accepted: 12/17/2017] [Indexed: 12/31/2022]
Abstract
For 21 putative BRCA1 and BRCA2 splice site variants, the concordance between mRNA analysis and predictions by in silico programs was evaluated. Aberrant splicing was confirmed for 12 alterations. In silico prediction tools were helpful to determine for which variants cDNA analysis is warranted, however, predictions for variants in the Cartegni consensus region but outside the canonical sites, were less reliable. Learning algorithms like Adaboost and Random Forest outperformed the classical tools. Further validations are warranted prior to implementation of these novel tools in clinical settings. Additionally, we report here for the first time activated cryptic donor sites in the large exon 11 of BRCA2 by evaluating the effect at the cDNA level of a novel tandem duplication (5' breakpoint in intron 4; 3' breakpoint in exon 11) and of a variant disrupting the splice donor site of exon 11 (c.6841+1G > C). Additional sites were predicted, but not activated. These sites warrant further research to increase our knowledge on cis and trans acting factors involved in the conservation of correct transcription of this large exon. This may contribute to adequate design of ASOs (antisense oligonucleotides), an emerging therapy to render cancer cells sensitive to PARP inhibitor and platinum therapies.
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Affiliation(s)
- Annelot Baert
- Department of Basic Medical Sciences, Ghent University, Ghent, Belgium.,Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Eva Machackova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Ilse Coene
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Carol Cremin
- BC Cancer Agency, Vancouver, British Columbia, Canada
| | | | | | | | - Jennifer Nuk
- BC Cancer Agency, Vancouver, British Columbia, Canada
| | | | - Sean Young
- BC Cancer Agency, Vancouver, British Columbia, Canada.,Cancer Genetics and Genomics Laboratory, Department of Pathology and Laboratory Medicine, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Andree MacMillan
- Provincial Medical Genetics Program, Eastern Health, St. John's, Newfoundland and Labrador, Canada
| | - Tom Van Maerken
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Martin Trbusek
- Department of Internal Medicine - Hematology and Oncology, University Hospital Brno, Brno, Czech Republic
| | - Wendy McKinnon
- Familial Cancer Program, University of Vermont Medical Center, Burlington, Vermont, United States
| | - Marie E Wood
- Familial Cancer Program, University of Vermont Medical Center, Burlington, Vermont, United States
| | - William D Foulkes
- Cancer Research Program, Research Institute of the McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Marta Santamariña
- Fundación Pública Galega de Medicina Xenómica-SERGAS, Grupo de Medicina Xenómica, CIBERER, IDIS, Santiago de Compostela, Spain
| | - Miguel de la Hoya
- Molecular Oncology Laboratory CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Bruce Poppe
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Anne Vral
- Department of Basic Medical Sciences, Ghent University, Ghent, Belgium
| | - Toon Rosseel
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Kim De Leeneer
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Ana Vega
- Fundación Pública Galega de Medicina Xenómica-SERGAS, Grupo de Medicina Xenómica, CIBERER, IDIS, Santiago de Compostela, Spain
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47
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Okur V, Chung WK. The impact of hereditary cancer gene panels on clinical care and lessons learned. Cold Spring Harb Mol Case Stud 2017; 3:mcs.a002154. [PMID: 29162654 PMCID: PMC5701305 DOI: 10.1101/mcs.a002154] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Mutations in hereditary cancer syndromes account for a modest fraction of all cancers; however, identifying patients with these germline mutations offers tremendous health benefits to both patients and their family members. There are about 60 genes that confer a high lifetime risk of specific cancers, and this information can be used to tailor prevention, surveillance, and treatment. With advances in next-generation sequencing technologies and the elimination of gene patents for evaluating genetic information, we are now able to analyze multiple genes simultaneously, leading to the widespread clinical use of gene panels for germline cancer testing. Over the last 4 years since these panels were introduced, we have learned about the diagnostic yield of testing, the expanded phenotypes of the patients with mutations, and the clinical utility of genetic testing in patients with cancer and/or without cancer but with a family history of cancer. We have also experienced challenges including the large number of variants of unknown significance (VUSs), identification of somatic mutations and need to differentiate these from germline mutations, technical issues with particular genes and mutations, insurance coverage and reimbursement issues, lack of access to data, and lack of clinical management guidelines for newer and, especially, moderate and low-penetrance genes. The lessons learned from cancer genetic testing panels are applicable to other clinical areas as well and highlight the problems to be solved as we advance genomic medicine.
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Affiliation(s)
- Volkan Okur
- Division of Molecular Genetics, Department of Pediatrics, Columbia University Medical Center, New York, New York 10032, USA
| | - Wendy K Chung
- Division of Molecular Genetics, Department of Pediatrics, Columbia University Medical Center, New York, New York 10032, USA; .,Department of Medicine, Columbia University Medical Center, New York, New York 10032, USA
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48
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Toland AE, Andreassen PR. DNA repair-related functional assays for the classification of BRCA1 and BRCA2 variants: a critical review and needs assessment. J Med Genet 2017; 54:721-731. [PMID: 28866612 DOI: 10.1136/jmedgenet-2017-104707] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 06/04/2017] [Accepted: 06/27/2017] [Indexed: 01/02/2023]
Abstract
Mutation of BRCA1 and BRCA2 is the most common cause of inherited breast and ovarian cancer. Genetic screens to detect carriers of variants can aid in cancer prevention by identifying individuals with a greater cancer risk and can potentially be used to predict the responsiveness of tumours to therapy. Frequently, classification cannot be performed based on traditional approaches such as segregation analyses, including for many missense variants, which are therefore referred to as variants of uncertain significance (VUS). Functional assays provide an important alternative for classification of BRCA1 and BRCA2 VUS. As reviewed here, both of these tumour suppressors promote the maintenance of genome stability via homologous recombination. Thus, related assays may be particularly relevant to cancer risk. Progress in implementing functional assays to assess missense variants of BRCA1 and BRCA2 is considered here, along with current limitations and the path to more impactful assay systems. While functional assays have been developed to independently evaluate BRCA1 and BRCA2 VUS, high-throughput assays with sufficient sensitivity to characterise the large number of identified variants are lacking. Additionally, because of relatively low conservation of certain domains of BRCA1, and of BRCA2, between humans and rodents, heterologous expression in rodent cells may have limited reliability or capacity to assess variants present throughout either protein. Moving forward, it will be important to perform assays in human cell lines with relevance to particular tumour types, and to strengthen risk predictions based on multifactorial statistical analyses that also include available data on cosegregation and tumour pathology.
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Affiliation(s)
- Amanda Ewart Toland
- Department of Cancer Biology & Genetics and Division of Human Genetics, Department of Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Paul R Andreassen
- Division of Experimental Hematology and Cancer Biology, Cincinnati Children's Research Foundation, Cincinnati, Ohio, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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49
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Gómez-Flores-Ramos L, Álvarez-Gómez RM, Villarreal-Garza C, Wegman-Ostrosky T, Mohar A. Breast cancer genetics in young women: What do we know? MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2017; 774:33-45. [PMID: 29173497 DOI: 10.1016/j.mrrev.2017.08.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 04/21/2017] [Accepted: 08/17/2017] [Indexed: 12/12/2022]
Abstract
Breast cancer (BC) in young women, generally defined in oncology as women who are 40 years of age or younger, represents 2 out of 10 BC cases in developing countries. Several research studies, including genetic cancer panel tests, genome-wide association studies, expression analyses and polymorphisms reports, have found that young women with BC exhibit a higher genetic susceptibility and specific genomic signature compared to postmenopausal women with BC. Thus, international guidelines recommend genetic counseling for this age population. This review presents the current state of the art of genetics and genomics with regards to young women with BC.
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Affiliation(s)
- Liliana Gómez-Flores-Ramos
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Circuito Mario de la Cueva, Coyoacán, Ciudad Universitaria, C.P. 04510, Mexico City, Mexico; Unidad de Investigación en Epidemiología, Subdivisión de Investigación Básica, Instituto Nacional de Cancerología, Av. San Fernando # 22, Col. Sección XVI, Delegación Tlalpan, C.P. 14080, Mexico City, Mexico
| | - Rosa María Álvarez-Gómez
- Clínica de Cáncer Hereditario, Subdivisión de Investigación Básica, Instituto Nacional de Cancerlogía, Av. San Fernando # 22, Col. Sección XVI, Delegación Tlalpan, C.P. 14080, Mexico City, Mexico
| | - Cynthia Villarreal-Garza
- Clínica de Cáncer Hereditario, Subdivisión de Investigación Básica, Instituto Nacional de Cancerlogía, Av. San Fernando # 22, Col. Sección XVI, Delegación Tlalpan, C.P. 14080, Mexico City, Mexico; Centro de Cáncer de Mama, Tecnológico de Monterrey, Centro Médico Zambrano Hellion, 6° Piso Av. Batallón de San Patricio #112 Col. Real San Agustín, San Pedro Garza García C.P. 66278, Nuevo León, Mexico
| | - Talia Wegman-Ostrosky
- Clínica de Cáncer Hereditario, Subdivisión de Investigación Básica, Instituto Nacional de Cancerlogía, Av. San Fernando # 22, Col. Sección XVI, Delegación Tlalpan, C.P. 14080, Mexico City, Mexico
| | - Alejandro Mohar
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Circuito Mario de la Cueva, Coyoacán, Ciudad Universitaria, C.P. 04510, Mexico City, Mexico; Unidad de Investigación en Epidemiología, Subdivisión de Investigación Básica, Instituto Nacional de Cancerología, Av. San Fernando # 22, Col. Sección XVI, Delegación Tlalpan, C.P. 14080, Mexico City, Mexico.
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50
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Rivera B, Di Iorio M, Frankum J, Nadaf J, Fahiminiya S, Arcand SL, Burk DL, Grapton D, Tomiak E, Hastings V, Hamel N, Wagener R, Aleynikova O, Giroux S, Hamdan FF, Dionne-Laporte A, Zogopoulos G, Rousseau F, Berghuis AM, Provencher D, Rouleau GA, Michaud JL, Mes-Masson AM, Majewski J, Bens S, Siebert R, Narod SA, Akbari MR, Lord CJ, Tonin PN, Orthwein A, Foulkes WD. Functionally Null RAD51D Missense Mutation Associates Strongly with Ovarian Carcinoma. Cancer Res 2017; 77:4517-4529. [PMID: 28646019 DOI: 10.1158/0008-5472.can-17-0190] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 03/23/2017] [Accepted: 06/06/2017] [Indexed: 11/16/2022]
Abstract
RAD51D is a key player in DNA repair by homologous recombination (HR), and RAD51D truncating variant carriers have an increased risk for ovarian cancer. However, the contribution of nontruncating RAD51D variants to cancer predisposition remains uncertain. Using deep sequencing and case-control genotyping studies, we show that in French Canadians, the missense RAD51D variant c.620C>T;p.S207L is highly prevalent and is associated with a significantly increased risk for ovarian high-grade serous carcinoma (HGSC; 3.8% cases vs. 0.2% controls). The frequency of the p.S207L variant did not significantly differ from that of controls in breast, endometrial, pancreas, or colorectal adenocarcinomas. Functionally, we show that this mutation impairs HR by disrupting the RAD51D-XRCC2 interaction and confers PARP inhibitor sensitivity. These results highlight the importance of a functional RAD51D-XRCC2 interaction to promote HR and prevent the development of HGSC. This study identifies c.620C>T;p.S207L as the first bona fide pathogenic RAD51D missense cancer susceptibility allele and supports the use of targeted PARP-inhibitor therapies in ovarian cancer patients carrying deleterious missense RAD51D variants. Cancer Res; 77(16); 4517-29. ©2017 AACR.
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Affiliation(s)
- Barbara Rivera
- Department of Human Genetics, McGill University, Montreal, Canada
- Lady Davis Institute, Montreal, Canada
| | - Massimo Di Iorio
- Department of Human Genetics, McGill University, Montreal, Canada
| | - Jessica Frankum
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Javad Nadaf
- Department of Human Genetics, McGill University, Montreal, Canada
- Genome Quebec Innovation Centre, Montreal, Canada
| | - Somayyeh Fahiminiya
- Cancer Research Program, The Research Institute of the McGill University Health Centre, Montreal, Canada
| | - Suzanna L Arcand
- Cancer Research Program, The Research Institute of the McGill University Health Centre, Montreal, Canada
| | - David L Burk
- Department of Biochemistry, McGill University, Montreal, Canada
| | | | - Eva Tomiak
- Department of Genetics, University of Ottawa, Children's Hospital of Eastern Ontario, Canada
| | - Valerie Hastings
- Department of Genetics, University of Ottawa, Children's Hospital of Eastern Ontario, Canada
| | - Nancy Hamel
- Cancer Research Program, The Research Institute of the McGill University Health Centre, Montreal, Canada
| | - Rabea Wagener
- Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany
| | - Olga Aleynikova
- Department of pathology, Jewish General Hospital, Montreal, Canada
| | - Sylvie Giroux
- University of Laval and CHU Research Centre, Quebec; Canada
| | - Fadi F Hamdan
- CHU Sainte-Justine Research Center, Montreal, Canada
| | | | - George Zogopoulos
- Cancer Research Program, The Research Institute of the McGill University Health Centre, Montreal, Canada
- The Goodman Cancer Research Centre, McGill University, Montreal, Canada
| | | | | | - Diane Provencher
- Centre de recherche du CHUM and Institut du cancer de Montréal, University of Montreal, Montreal, Canada
| | - Guy A Rouleau
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | | | - Anne-Marie Mes-Masson
- Centre de recherche du CHUM and Institut du cancer de Montréal, University of Montreal, Montreal, Canada
| | - Jacek Majewski
- Department of Human Genetics, McGill University, Montreal, Canada
- Genome Quebec Innovation Centre, Montreal, Canada
| | - Susanne Bens
- Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany
| | - Reiner Siebert
- Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany
| | - Steven A Narod
- Dalla Lana School of Public Health, Toronto, Canada
- Women's College Hospital, Toronto, Canada
| | - Mohammad R Akbari
- Dalla Lana School of Public Health, Toronto, Canada
- Women's College Hospital, Toronto, Canada
| | - Christopher J Lord
- The CRUK Gene Function Laboratory and Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Patricia N Tonin
- Department of Human Genetics, McGill University, Montreal, Canada
- Cancer Research Program, The Research Institute of the McGill University Health Centre, Montreal, Canada
- Department of Medicine, McGill University, Montreal, Canada
| | - Alexandre Orthwein
- Lady Davis Institute, Montreal, Canada
- Department of Oncology, McGill University, Montreal, Canada
| | - William D Foulkes
- Department of Human Genetics, McGill University, Montreal, Canada.
- Lady Davis Institute, Montreal, Canada
- Cancer Research Program, The Research Institute of the McGill University Health Centre, Montreal, Canada
- Department of Medical Genetics, Research Institute, McGill University Health Centre, Montreal, Canada
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