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Alonso N, Menao S, Lastra R, Arruebo M, Bueso MP, Pérez E, Murillo ML, Álvarez M, Alonso A, Rebollar S, Cruellas M, Arribas D, Ramos M, Isla D, Galano-Frutos JJ, García-Cebollada H, Sancho J, Andrés R. Association between missense variants of uncertain significance in the CHEK2 gene and hereditary breast cancer: a cosegregation and bioinformatics analysis. Front Genet 2024; 14:1274108. [PMID: 38476463 PMCID: PMC10927753 DOI: 10.3389/fgene.2023.1274108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/06/2023] [Indexed: 03/14/2024] Open
Abstract
Inherited mutations in the CHEK2 gene have been associated with an increased lifetime risk of developing breast cancer (BC). We aim to identify in the study population the prevalence of mutations in the CHEK2 gene in diagnosed BC patients, evaluate the phenotypic characteristics of the tumor and family history, and predict the deleteriousness of the variants of uncertain significance (VUS). A genetic study was performed, from May 2016 to April 2020, in 396 patients diagnosed with BC at the University Hospital Lozano Blesa of Zaragoza, Spain. Patients with a genetic variant in the CHEK2 gene were selected for the study. We performed a descriptive analysis of the clinical variables, a bibliographic review of the variants, and a cosegregation study when possible. Moreover, an in-depth bioinformatics analysis of CHEK2 VUS was carried out. We identified nine genetic variants in the CHEK2 gene in 10 patients (two pathogenic variants and seven VUS). This supposes a prevalence of 0.75% and 1.77%, respectively. In all cases, there was a family history of BC in first- and/or second-degree relatives. We carried out a cosegregation study in two families, being positive in one of them. The bioinformatics analyses predicted the pathogenicity of six of the VUS. In conclusion, CHEK2 mutations have been associated with an increased risk for BC. This risk is well-established for foundation variants. However, the risk assessment for other variants is unclear. The incorporation of bioinformatics analysis provided supporting evidence of the pathogenicity of VUS.
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Affiliation(s)
- Natalia Alonso
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Medical Oncology Department, Hospital San Pedro, Logroño, Spain
| | - Sebastián Menao
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Biochemistry Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - Rodrigo Lastra
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Medical Oncology Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - María Arruebo
- Biochemistry Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - María P. Bueso
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Medical Oncology Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - Esther Pérez
- Breast Unit, University Hospital Lozano Blesa, Zaragoza, Spain
| | - M. Laura Murillo
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Medical Oncology Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - María Álvarez
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Medical Oncology Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - Alba Alonso
- Biochemistry Department, University Hospital Arnau de Vilanova, Lleida, Spain
| | - Soraya Rebollar
- Biochemistry Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - Mara Cruellas
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Medical Oncology Department, University Hospital of Valld’Hebron, and Valld’Hebron Institute of Oncology, Barcelona, Spain
| | - Dolores Arribas
- General Surgery Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - Mónica Ramos
- Biochemistry Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - Dolores Isla
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Medical Oncology Department, University Hospital Lozano Blesa, Zaragoza, Spain
| | - Juan José Galano-Frutos
- Department of Biochemistry, Molecular and Cell Biology, Faculty of Science, University of Zaragoza, Zaragoza, Spain
- Biocomputation and Complex Systems Physics Institute (BIFI), Joint Units BIFI-IQFR (CSIC) and GBs-CSIC, University of Zaragoza, Zaragoza, Spain
| | - Helena García-Cebollada
- Department of Biochemistry, Molecular and Cell Biology, Faculty of Science, University of Zaragoza, Zaragoza, Spain
- Biocomputation and Complex Systems Physics Institute (BIFI), Joint Units BIFI-IQFR (CSIC) and GBs-CSIC, University of Zaragoza, Zaragoza, Spain
| | - Javier Sancho
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Department of Biochemistry, Molecular and Cell Biology, Faculty of Science, University of Zaragoza, Zaragoza, Spain
- Biocomputation and Complex Systems Physics Institute (BIFI), Joint Units BIFI-IQFR (CSIC) and GBs-CSIC, University of Zaragoza, Zaragoza, Spain
| | - Raquel Andrés
- Aragon Health Research Institute (IIS Aragón), Zaragoza, Spain
- Medical Oncology Department, University Hospital Lozano Blesa, Zaragoza, Spain
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2
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Baliakas P, Munters AR, Kämpe A, Tesi B, Bondeson ML, Ladenvall C, Eriksson D. Integrating a Polygenic Risk Score into a clinical setting would impact risk predictions in familial breast cancer. J Med Genet 2024; 61:150-154. [PMID: 37580114 PMCID: PMC10850617 DOI: 10.1136/jmg-2023-109311] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 07/28/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND Low-impact genetic variants identified in population-based genetic studies are not routinely measured as part of clinical genetic testing in familial breast cancer (BC). We studied the consequences of integrating an established Polygenic Risk Score (PRS) (BCAC 313, PRS313) into clinical sequencing of women with familial BC in Sweden. METHODS We developed an add-on sequencing panel to capture 313 risk variants in addition to the clinical screening of hereditary BC genes. Index patients with no pathogenic variant from 87 families, and 1000 population controls, were included in comparative PRS calculations. Including detailed family history, sequencing results and tumour pathology information, we used BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) V.6 to estimate contralateral and lifetime risks without and with PRS313. RESULTS Women with BC but no pathogenic variants in hereditary BC genes have a higher PRS313 compared with population controls (mean+0.78 SD, p<3e-9). Implementing PRS313 in the clinical risk estimation before their BC diagnosis would have changed the recommended follow-up in 24%-45% of women. CONCLUSIONS Our results show the potential impact of incorporating PRS313 directly in the clinical genomic investigation of women with familial BC.
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Affiliation(s)
- Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Arielle R Munters
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Anders Kämpe
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Bianca Tesi
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska Institutet, Stockholm, Sweden
| | - Marie-Louise Bondeson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Claes Ladenvall
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Daniel Eriksson
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
- Department of Clinical Genetics, Akademiska Sjukhuset, Uppsala, Sweden
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3
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Ouedraogo ZG, Ceruti F, Lepage M, Gay-Bellile M, Uhrhammer N, Ponelle-Chachuat F, Bidet Y, Privat M, Cavaillé M. Detection Rate and Spectrum of Pathogenic Variations in a Cohort of 83 Patients with Suspected Hereditary Risk of Kidney Cancer. Genes (Basel) 2023; 14:1991. [PMID: 38002934 PMCID: PMC10671640 DOI: 10.3390/genes14111991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/20/2023] [Accepted: 10/22/2023] [Indexed: 11/26/2023] Open
Abstract
Hereditary predisposition to cancer affects about 3-5% of renal cancers. Testing criteria have been proposed in France for genetic testing of non-syndromic renal cancer. Our study explores the detection rates associated with our testing criteria. Using a comprehensive gene panel including 8 genes related to renal cancer and 50 genes related to hereditary predisposition to other cancers, we evaluated the detection rate of pathogenic variants in a cohort of 83 patients with suspected renal cancer predisposition. The detection rate was 7.2% for the renal cancer genes, which was 2.41-fold higher than the estimated 3% proportion of unselected kidney cases with inherited risk. Pathogenic variants in renal cancer genes were observed in 44.5% of syndromic cases, and in 2.7% of non-syndromic cases. Incidental findings were observed in CHEK2, MSH2, MUTYH and WRN. CHEK2 was associated with renal cancer (OR at 7.14; 95% CI 1.74-29.6; p < 0.003) in our study in comparison to the gnomAD control population. The detection rate in renal cancer genes was low in non-syndromic cases. Additional causal mechanisms are probably involved, and further research is required to find them. A study of the management of renal cancer risk for CHEK2 pathogenic variant carriers is needed.
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Affiliation(s)
- Zangbéwendé Guy Ouedraogo
- Département d’Oncogénétique, Centre Jean Perrin, 63011 Clermont-Ferrand, France; (Z.G.O.); (M.L.); (M.G.-B.); (M.P.)
- Service de Biochimie et Génétique Moléculaire, CHU Clermont-Ferrand, 63000 Clermont-Ferrand, France
- Université Clermont Auvergne, CNRS, Inserm, iGReD, 63001 Clermont-Ferrand, France
| | - Florian Ceruti
- Service d’Urologie, CHU Gabriel Montpied, 63000 Clermont-Ferrand, France;
| | - Mathis Lepage
- Département d’Oncogénétique, Centre Jean Perrin, 63011 Clermont-Ferrand, France; (Z.G.O.); (M.L.); (M.G.-B.); (M.P.)
- Université Clermont Auvergne, INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, 63000 Clermont-Ferrand, France
| | - Mathilde Gay-Bellile
- Département d’Oncogénétique, Centre Jean Perrin, 63011 Clermont-Ferrand, France; (Z.G.O.); (M.L.); (M.G.-B.); (M.P.)
- Université Clermont Auvergne, INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, 63000 Clermont-Ferrand, France
| | - Nancy Uhrhammer
- Département d’Oncogénétique, Centre Jean Perrin, 63011 Clermont-Ferrand, France; (Z.G.O.); (M.L.); (M.G.-B.); (M.P.)
- Université Clermont Auvergne, INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, 63000 Clermont-Ferrand, France
| | - Flora Ponelle-Chachuat
- Département d’Oncogénétique, Centre Jean Perrin, 63011 Clermont-Ferrand, France; (Z.G.O.); (M.L.); (M.G.-B.); (M.P.)
- Université Clermont Auvergne, INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, 63000 Clermont-Ferrand, France
| | - Yannick Bidet
- Département d’Oncogénétique, Centre Jean Perrin, 63011 Clermont-Ferrand, France; (Z.G.O.); (M.L.); (M.G.-B.); (M.P.)
- Université Clermont Auvergne, INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, 63000 Clermont-Ferrand, France
| | - Maud Privat
- Département d’Oncogénétique, Centre Jean Perrin, 63011 Clermont-Ferrand, France; (Z.G.O.); (M.L.); (M.G.-B.); (M.P.)
- Université Clermont Auvergne, INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, 63000 Clermont-Ferrand, France
| | - Mathias Cavaillé
- Département d’Oncogénétique, Centre Jean Perrin, 63011 Clermont-Ferrand, France; (Z.G.O.); (M.L.); (M.G.-B.); (M.P.)
- Université Clermont Auvergne, INSERM, U1240 Imagerie Moléculaire et Stratégies Théranostiques, 63000 Clermont-Ferrand, France
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4
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Wagener R, Walter C, Auer F, Alzoubi D, Hauer J, Fischer U, Varghese J, Dugas M, Borkhardt A, Brozou T. The CHK2 kinase is recurrently mutated and functionally impaired in the germline of pediatric cancer patients. Int J Cancer 2023; 152:1388-1398. [PMID: 36468172 DOI: 10.1002/ijc.34390] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 10/25/2022] [Accepted: 11/16/2022] [Indexed: 12/11/2022]
Abstract
Predisposing CHEK2 germline variants are associated with various adult-type malignancies, whereas their impact on cancer susceptibility in childhood cancer is unclear. To understand the frequency of germline variants in the CHEK2 gene and their impact on pediatric malignancies, we used whole-exome sequencing to search for CHEK2 variants in the germlines of 418 children diagnosed with cancer in our clinics. Moreover, we performed functional analysis of the pathogenic CHEK2 variants to analyze the effect of the alterations on CHK2 protein function. We detected a CHEK2 germline variant in 32/418 (7.7%) pediatric cancer patients and 46.8% of them had leukemia. Functional analysis of the pathogenic variants revealed that 5 pathogenic variants impaired CHK2 protein function. 6/32 patients carried one of these clearly damaging CHEK2 variants and two of them harbored a matching family history of cancer. In conclusion, we detected germline CHEK2 variants in 7.7% of all pediatric cancer patients, of which a minority but still relevant fraction of approximately 20% had a profound impact on protein expression or its phosphorylation after irradiation-induced DNA damage. Accordingly, we conclude that CHEK2 variants increase the risk for not only adult-onset but also pediatric cancer.
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Affiliation(s)
- Rabea Wagener
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Düsseldorf, Germany
| | - Carolin Walter
- Institute of Medical Informatics, University of Münster, Münster, Germany
| | - Franziska Auer
- TUM School of Medicine, Department of Pediatrics, Technical University of Munich, Munchen, Germany
| | - Deya Alzoubi
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Julia Hauer
- TUM School of Medicine, Department of Pediatrics, Technical University of Munich, Munchen, Germany
| | - Ute Fischer
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Düsseldorf, Germany
| | - Julian Varghese
- Institute of Medical Informatics, University of Münster, Münster, Germany
| | - Martin Dugas
- Institute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany
| | - Arndt Borkhardt
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Düsseldorf, Germany
| | - Triantafyllia Brozou
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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5
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Li N, Zethoven M, McInerny S, Healey E, DeSilva D, Devereux L, Scott RJ, James PA, Campbell IG. Contribution of large genomic rearrangements in PALB2 to familial breast cancer: implications for genetic testing. J Med Genet 2023; 60:112-118. [PMID: 35396271 DOI: 10.1136/jmedgenet-2021-108399] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 03/08/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND PALB2 is the most important contributor to familial breast cancer after BRCA1 and BRCA2. Large genomic rearrangements (LGRs) in BRCA1 and BRCA2 are routinely assessed in clinical testing and are a significant contributor to the yield of actionable findings. In contrast, the contribution of LGRs in PALB2 has not been systematically studied. METHODS We performed targeted sequencing and real-time qPCR validation to identify LGRs in PALB2 in 5770 unrelated patients with familial breast cancer and 5741 cancer-free control women from the same Australian population. RESULTS Seven large deletions ranging in size from 0.96 kbp to 18.07 kbp involving PALB2 were identified in seven cases, while no LGRs were identified in any of the controls. Six LGRs were considered pathogenic as they included one or more exons of PALB2 and disrupted the WD40 domain at the C terminal end of the PALB2 protein while one LGR only involved a partial region of intron 10 and was considered a variant of unknown significance. Altogether, pathogenic LGRs identified in this study accounted for 10.3% (6 of 58) of the pathogenic PALB2 variants detected among the 5770 families with familial breast cancer. CONCLUSIONS Our data show that a clinically important proportion of PALB2 pathogenic mutations in Australian patients with familial breast cancer are LGRs. Such observations have provided strong support for inclusion of PALB2 LGRs in routine clinical genetic testing.
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Affiliation(s)
- Na Li
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Magnus Zethoven
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Bioinformatics Core Facility, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Eliza Healey
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Dilanka DeSilva
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Lisa Devereux
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Lifepool, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia.,Division of Molecular Medicine, Pathology North, Newcastle, New South Wales, Australia.,Discipline of Medical Genetics, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Paul A James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia .,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
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6
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Figlioli G, Billaud A, Ahearn TU, Antonenkova NN, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Blok MJ, Bogdanova NV, Bonanni B, Burwinkel B, Camp NJ, Campbell A, Castelao JE, Cessna MH, Chanock SJ, Czene K, Devilee P, Dörk T, Engel C, Eriksson M, Fasching PA, Figueroa JD, Gabrielson M, Gago-Dominguez M, García-Closas M, González-Neira A, Grassmann F, Guénel P, Gündert M, Hadjisavvas A, Hahnen E, Hall P, Hamann U, Harrington PA, He W, Hillemanns P, Hollestelle A, Hooning MJ, Hoppe R, Howell A, Humphreys K, Jager A, Jakubowska A, Khusnutdinova EK, Ko YD, Kristensen VN, Lindblom A, Lissowska J, Lubiński J, Mannermaa A, Manoukian S, Margolin S, Mavroudis D, Newman WG, Obi N, Panayiotidis MI, Rashid MU, Rhenius V, Rookus MA, Saloustros E, Sawyer EJ, Schmutzler RK, Shah M, Sironen R, Southey MC, Suvanto M, Tollenaar RAEM, Tomlinson I, Truong T, van der Kolk LE, van Veen EM, Wappenschmidt B, Yang XR, Bolla MK, Dennis J, Dunning AM, Easton DF, Lush M, Michailidou K, Pharoah PDP, Wang Q, Adank MA, Schmidt MK, Andrulis IL, Chang-Claude J, Nevanlinna H, Chenevix-Trench G, Evans DG, Milne RL, Radice P, Peterlongo P. FANCM missense variants and breast cancer risk: a case-control association study of 75,156 European women. Eur J Hum Genet 2023; 31:578-587. [PMID: 36707629 PMCID: PMC10172381 DOI: 10.1038/s41431-022-01257-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 11/11/2022] [Accepted: 11/24/2022] [Indexed: 01/29/2023] Open
Abstract
Evidence from literature, including the BRIDGES study, indicates that germline protein truncating variants (PTVs) in FANCM confer moderately increased risk of ER-negative and triple-negative breast cancer (TNBC), especially for women with a family history of the disease. Association between FANCM missense variants (MVs) and breast cancer risk has been postulated. In this study, we further used the BRIDGES study to test 689 FANCM MVs for association with breast cancer risk, overall and in ER-negative and TNBC subtypes, in 39,885 cases (7566 selected for family history) and 35,271 controls of European ancestry. Sixteen common MVs were tested individually; the remaining rare 673 MVs were tested by burden analyses considering their position and pathogenicity score. We also conducted a meta-analysis of our results and those from published studies. We did not find evidence for association for any of the 16 variants individually tested. The rare MVs were significantly associated with increased risk of ER-negative breast cancer by burden analysis comparing familial cases to controls (OR = 1.48; 95% CI 1.07-2.04; P = 0.017). Higher ORs were found for the subgroup of MVs located in functional domains or predicted to be pathogenic. The meta-analysis indicated that FANCM MVs overall are associated with breast cancer risk (OR = 1.22; 95% CI 1.08-1.38; P = 0.002). Our results support the definition from previous analyses of FANCM as a moderate-risk breast cancer gene and provide evidence that FANCM MVs could be low/moderate risk factors for ER-negative and TNBC subtypes. Further genetic and functional analyses are necessary to clarify better the increased risks due to FANCM MVs.
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Affiliation(s)
- Gisella Figlioli
- IFOM ETS - The AIRC Institute of Molecular Oncology, Genome Diagnostics Program, Milan, Italy
| | - Amandine Billaud
- IFOM ETS - The AIRC Institute of Molecular Oncology, Genome Diagnostics Program, Milan, Italy
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Natalia N Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | - Heiko Becher
- University Medical Center Hamburg-Eppendorf, Institute of Medical Biometry and Epidemiology, Hamburg, Germany
| | - Matthias W Beckmann
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Sabine Behrens
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Javier Benitez
- Spanish National Cancer Research Centre (CNIO), Human Genetics Group, Madrid, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
| | - Marinus J Blok
- Maastricht University Medical Center, Department of Clinical Genetics, Maastricht, the Netherlands
| | - Natalia V Bogdanova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
- Hannover Medical School, Department of Radiation Oncology, Hannover, Germany
- Hannover Medical School, Gynaecology Research Unit, Hannover, Germany
| | - Bernardo Bonanni
- IEO, European Institute of Oncology IRCCS, Division of Cancer Prevention and Genetics, Milan, Italy
| | - Barbara Burwinkel
- German Cancer Research Center (DKFZ), Molecular Epidemiology Group, C080, Heidelberg, Germany
- University of Heidelberg, Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, Heidelberg, Germany
| | - Nicola J Camp
- University of Utah, Department of Internal Medicine and Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Archie Campbell
- University of Edinburgh, Centre for Genomic and Experimental Medicine, Institute of Genetics & Cancer, Edinburgh, UK
- The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK
| | - Jose E Castelao
- Instituto de Investigación Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Oncology and Genetics Unit, Vigo, Spain
| | | | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | | | - Kamila Czene
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
| | - Peter Devilee
- Leiden University Medical Center, Department of Pathology, Leiden, the Netherlands
- Leiden University Medical Center, Department of Human Genetics, Leiden, the Netherlands
| | - Thilo Dörk
- Hannover Medical School, Gynaecology Research Unit, Hannover, Germany
| | - Christoph Engel
- University of Leipzig, Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany
- University of Leipzig, LIFE - Leipzig Research Centre for Civilization Diseases, Leipzig, Germany
| | - Mikael Eriksson
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
| | - Peter A Fasching
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
- The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK
- The University of Edinburgh, Cancer Research UK Edinburgh Centre, Edinburgh, UK
| | - Marike Gabrielson
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
| | - Manuela Gago-Dominguez
- Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Santiago de Compostela, Spain
- University of California San Diego, Moores Cancer Center, La Jolla, CA, USA
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Anna González-Neira
- Spanish National Cancer Research Centre (CNIO), Human Cancer Genetics Programme, Madrid, Spain
| | - Felix Grassmann
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
- Health and Medical University, Potsdam, Germany
| | - Pascal Guénel
- INSERM, University Paris-Saclay, Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, Villejuif, France
| | - Melanie Gündert
- German Cancer Research Center (DKFZ), Molecular Epidemiology Group, C080, Heidelberg, Germany
- University of Heidelberg, Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, Heidelberg, Germany
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Diabetes Research, Neuherberg, Germany
| | - Andreas Hadjisavvas
- The Cyprus Institute of Neurology & Genetics, Department of Cancer Genetics, Therapeutics and Ultrastructural Pathology, Nicosia, Cyprus
| | - Eric Hahnen
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Familial Breast and Ovarian Cancer, Cologne, Germany
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Integrated Oncology (CIO), Cologne, Germany
| | - Per Hall
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
- Södersjukhuset, Department of Oncology, Stockholm, Sweden
| | - Ute Hamann
- German Cancer Research Center (DKFZ), Molecular Genetics of Breast Cancer, Heidelberg, Germany
| | - Patricia A Harrington
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | - Wei He
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
| | - Peter Hillemanns
- Hannover Medical School, Gynaecology Research Unit, Hannover, Germany
| | | | - Maartje J Hooning
- Erasmus MC Cancer Institute, Department of Medical Oncology, Rotterdam, the Netherlands
| | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - Anthony Howell
- University of Manchester, Division of Cancer Sciences, Manchester, UK
| | - Keith Humphreys
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
| | | | - Agnes Jager
- Erasmus MC Cancer Institute, Department of Medical Oncology, Rotterdam, the Netherlands
| | - Anna Jakubowska
- Pomeranian Medical University, Department of Genetics and Pathology, International Hereditary Cancer Center, Szczecin, Poland
- Pomeranian Medical University, Independent Laboratory of Molecular Biology and Genetic Diagnostics, Szczecin, Poland
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Bashkir State University, Department of Genetics and Fundamental Medicine, Ufa, Russia
| | - Yon-Dschun Ko
- Department of Internal Medicine, Johanniter GmbH Bonn, Johanniter Krankenhaus, Bonn, Germany
| | - Vessela N Kristensen
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Annika Lindblom
- Karolinska Institutet, Department of Molecular Medicine and Surgery, Stockholm, Sweden
- Karolinska University Hospital, Department of Clinical Genetics, Stockholm, Sweden
| | - Jolanta Lissowska
- M. Sklodowska-Curie National Research Oncology Institute, Department of Cancer Epidemiology and Prevention, Warsaw, Poland
| | - Jan Lubiński
- Pomeranian Medical University, Department of Genetics and Pathology, International Hereditary Cancer Center, Szczecin, Poland
| | - Arto Mannermaa
- University of Eastern Finland, Translational Cancer Research Area, Kuopio, Finland
- University of Eastern Finland, Institute of Clinical Medicine, Pathology and Forensic Medicine, Kuopio, Finland
- Kuopio University Hospital, Biobank of Eastern Finland, Kuopio, Finland
| | - Siranoush Manoukian
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Unit of Medical Genetics, Department of Medical Oncology and Hematology, Milan, Italy
| | - Sara Margolin
- Södersjukhuset, Department of Oncology, Stockholm, Sweden
- Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden
| | - Dimitrios Mavroudis
- University Hospital of Heraklion, Department of Medical Oncology, Heraklion, Greece
| | - William G Newman
- University of Manchester, Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester, UK
- St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester, UK
| | - Nadia Obi
- University Medical Center Hamburg-Eppendorf, Institute of Medical Biometry and Epidemiology, Hamburg, Germany
| | - Mihalis I Panayiotidis
- The Cyprus Institute of Neurology & Genetics, Department of Cancer Genetics, Therapeutics and Ultrastructural Pathology, Nicosia, Cyprus
| | - Muhammad U Rashid
- German Cancer Research Center (DKFZ), Molecular Genetics of Breast Cancer, Heidelberg, Germany
- Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH & RC), Department of Basic Sciences, Lahore, Pakistan
| | - Valerie Rhenius
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | - Matti A Rookus
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands
| | | | - Elinor J Sawyer
- King's College London, School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy's Campus, London, UK
| | - Rita K Schmutzler
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Familial Breast and Ovarian Cancer, Cologne, Germany
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Integrated Oncology (CIO), Cologne, Germany
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Molecular Medicine Cologne (CMMC), Cologne, Germany
| | - Mitul Shah
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | - Reijo Sironen
- University of Eastern Finland, Translational Cancer Research Area, Kuopio, Finland
- University of Eastern Finland, Institute of Clinical Medicine, Pathology and Forensic Medicine, Kuopio, Finland
- Kuopio University Hospital, Imaging Center, Department of Clinical Pathology, Kuopio, Finland
| | - Melissa C Southey
- Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Clayton, Victoria, Australia
- The University of Melbourne, Department of Clinical Pathology, Melbourne, Victoria, Australia
- Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, Victoria, Australia
| | - Maija Suvanto
- University of Helsinki, Department of Obstetrics and Gynecology, Helsinki University Hospital, Helsinki, Finland
| | - Rob A E M Tollenaar
- Leiden University Medical Center, Department of Surgery, Leiden, the Netherlands
| | - Ian Tomlinson
- The University of Edinburgh, Cancer Research Centre, Edinburgh, UK
| | - Thérèse Truong
- INSERM, University Paris-Saclay, Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, Villejuif, France
| | - Lizet E van der Kolk
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Family Cancer Clinic, Amsterdam, the Netherlands
| | - Elke M van Veen
- University of Manchester, Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester, UK
- St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester, UK
| | - Barbara Wappenschmidt
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Familial Breast and Ovarian Cancer, Cologne, Germany
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Integrated Oncology (CIO), Cologne, Germany
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Manjeet K Bolla
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Joe Dennis
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Alison M Dunning
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | - Douglas F Easton
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Michael Lush
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Kyriaki Michailidou
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
- The Cyprus Institute of Neurology & Genetics, Biostatistics Unit, Nicosia, Cyprus
| | - Paul D P Pharoah
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Qin Wang
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Muriel A Adank
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Family Cancer Clinic, Amsterdam, the Netherlands
| | - Marjanka K Schmidt
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands
- The Netherlands Cancer Institute, Division of Molecular Pathology, Amsterdam, the Netherlands
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Fred A. Litwin Center for Cancer Genetics, Toronto, Ontario, Canada
- University of Toronto, Department of Molecular Genetics, Toronto, Ontario, Canada
| | - Jenny Chang-Claude
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
- University Medical Center Hamburg-Eppendorf, Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), Hamburg, Germany
| | - Heli Nevanlinna
- University of Helsinki, Department of Obstetrics and Gynecology, Helsinki University Hospital, Helsinki, Finland
| | - Georgia Chenevix-Trench
- QIMR Berghofer Medical Research Institute, Department of Genetics and Computational Biology, Brisbane, Queensland, Australia
| | - D Gareth Evans
- University of Manchester, Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester, UK
- St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester, UK
| | - Roger L Milne
- Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Clayton, Victoria, Australia
- Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, Victoria, Australia
- The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Melbourne, Victoria, Australia
| | - Paolo Radice
- Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Experimental Oncology, Milan, Italy
| | - Paolo Peterlongo
- IFOM ETS - The AIRC Institute of Molecular Oncology, Genome Diagnostics Program, Milan, Italy.
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7
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Alenezi WM, Fierheller CT, Serruya C, Revil T, Oros KK, Subramanian DN, Bruce J, Spiegelman D, Pugh T, Campbell IG, Mes-Masson AM, Provencher D, Foulkes WD, Haffaf ZE, Rouleau G, Bouchard L, Greenwood CMT, Ragoussis J, Tonin PN. Genetic analyses of DNA repair pathway associated genes implicate new candidate cancer predisposing genes in ancestrally defined ovarian cancer cases. Front Oncol 2023; 13:1111191. [PMID: 36969007 PMCID: PMC10030840 DOI: 10.3389/fonc.2023.1111191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/06/2023] [Indexed: 03/29/2023] Open
Abstract
Not all familial ovarian cancer (OC) cases are explained by pathogenic germline variants in known risk genes. A candidate gene approach involving DNA repair pathway genes was applied to identify rare recurring pathogenic variants in familial OC cases not associated with known OC risk genes from a population exhibiting genetic drift. Whole exome sequencing (WES) data of 15 OC cases from 13 families tested negative for pathogenic variants in known OC risk genes were investigated for candidate variants in 468 DNA repair pathway genes. Filtering and prioritization criteria were applied to WES data to select top candidates for further analyses. Candidates were genotyped in ancestry defined study groups of 214 familial and 998 sporadic OC or breast cancer (BC) cases and 1025 population-matched controls and screened for additional carriers in 605 population-matched OC cases. The candidate genes were also analyzed in WES data from 937 familial or sporadic OC cases of diverse ancestries. Top candidate variants in ERCC5, EXO1, FANCC, NEIL1 and NTHL1 were identified in 5/13 (39%) OC families. Collectively, candidate variants were identified in 7/435 (1.6%) sporadic OC cases and 1/566 (0.2%) sporadic BC cases versus 1/1025 (0.1%) controls. Additional carriers were identified in 6/605 (0.9%) OC cases. Tumour DNA from ERCC5, NEIL1 and NTHL1 variant carriers exhibited loss of the wild-type allele. Carriers of various candidate variants in these genes were identified in 31/937 (3.3%) OC cases of diverse ancestries versus 0-0.004% in cancer-free controls. The strategy of applying a candidate gene approach in a population exhibiting genetic drift identified new candidate OC predisposition variants in DNA repair pathway genes.
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Affiliation(s)
- Wejdan M. Alenezi
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Cancer Research Program, Centre for Translational Biology, The Research Institute of McGill University Health Centre, Montreal, QC, Canada
- Department of Medical Laboratory Technology, Taibah University, Medina, Saudi Arabia
| | - Caitlin T. Fierheller
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Cancer Research Program, Centre for Translational Biology, The Research Institute of McGill University Health Centre, Montreal, QC, Canada
| | - Corinne Serruya
- Cancer Research Program, Centre for Translational Biology, The Research Institute of McGill University Health Centre, Montreal, QC, Canada
| | - Timothée Revil
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- McGill Genome Centre, McGill University, Montreal, QC, Canada
| | - Kathleen K. Oros
- Lady Davis Institute for Medical Research of the Jewish General Hospital, Montreal, QC, Canada
| | - Deepak N. Subramanian
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Jeffrey Bruce
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Dan Spiegelman
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Trevor Pugh
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Ian G. Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Anne-Marie Mes-Masson
- Centre de recherche du Centre hospitalier de l’Université de Montréal and Institut du cancer de Montréal, Montreal, QC, Canada
- Departement of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Diane Provencher
- Centre de recherche du Centre hospitalier de l’Université de Montréal and Institut du cancer de Montréal, Montreal, QC, Canada
- Division of Gynecologic Oncology, Université de Montréal, Montreal, QC, Canada
| | - William D. Foulkes
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Cancer Research Program, Centre for Translational Biology, The Research Institute of McGill University Health Centre, Montreal, QC, Canada
- Lady Davis Institute for Medical Research of the Jewish General Hospital, Montreal, QC, Canada
- Department of Medical Genetics, McGill University Health Centre, Montreal, QC, Canada
- Department of Medicine, McGill University, Montreal, QC, Canada
- Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada
| | - Zaki El Haffaf
- Centre de recherche du Centre hospitalier de l’Université de Montréal and Institut du cancer de Montréal, Montreal, QC, Canada
- Service de Médecine Génique, Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
| | - Guy Rouleau
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Université de Sherbrooke, Sherbrooke, QC, Canada
- Department of Medical Biology, Centres intégrés universitaires de santé et de services sociaux du Saguenay-Lac-Saint-Jean hôpital Universitaire de Chicoutimi, Saguenay, QC, Canada
- Centre de Recherche du Centre hospitalier l’Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Celia M. T. Greenwood
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Lady Davis Institute for Medical Research of the Jewish General Hospital, Montreal, QC, Canada
- Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Jiannis Ragoussis
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- McGill Genome Centre, McGill University, Montreal, QC, Canada
| | - Patricia N. Tonin
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Cancer Research Program, Centre for Translational Biology, The Research Institute of McGill University Health Centre, Montreal, QC, Canada
- Department of Medicine, McGill University, Montreal, QC, Canada
- *Correspondence: Patricia N. Tonin,
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8
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Lim BWX, Li N, Mahale S, McInerny S, Zethoven M, Rowley SM, Huynh J, Wang T, Lee JEA, Friedman M, Devereux L, Scott RJ, Sloan EK, James PA, Campbell IG. Somatic inactivation of breast cancer predisposition genes in tumors associated with pathogenic germline variants. J Natl Cancer Inst 2022; 115:181-189. [PMID: 36315097 PMCID: PMC9905963 DOI: 10.1093/jnci/djac196] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 06/17/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Breast cancers (BCs) that arise in individuals heterozygous for a germline pathogenic variant in a susceptibility gene, such as BRCA1 and BRCA2, PALB2, and RAD51C, have been shown to exhibit biallelic loss in the respective genes and be associated with triple-negative breast cancer (TNBC) and distinctive somatic mutational signatures. Tumor sequencing thus presents an orthogonal approach to assess the role of candidate genes in BC development. METHODS Exome sequencing was performed on paired normal-breast tumor DNA from 124 carriers of germline loss-of-function (LoF) or missense variant carriers in 15 known and candidate BC predisposition genes identified in the BEACCON case-control study. Biallelic inactivation and association with tumor genome features including mutational signatures and homologous recombination deficiency (HRD) score were investigated. RESULTS BARD1-carrying TNBC (4 of 5) displayed biallelic loss and associated high HRD scores and mutational signature 3, as did a RAD51D-carrying TNBC and ovarian cancer. Biallelic loss was less frequent in BRIP1 BCs (4 of 13) and had low HRD scores. In contrast to other established BC genes, BCs from carriers of CHEK2 LoF (6 of 17) or missense (2 of 20) variant had low rates of biallelic loss. Exploratory analysis of BC from carriers of LoF variants in candidate genes such as BLM, FANCM, PARP2, and RAD50 found little evidence of biallelic inactivation. CONCLUSIONS BARD1 and RAD51D behave as classic BRCA-like predisposition genes with biallelic inactivation, but this was not observed for any of the candidate genes. However, as demonstrated for CHEK2, the absence of biallelic inactivation does not provide definitive evidence against the gene's involvement in BC predisposition.
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Affiliation(s)
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Sakshi Mahale
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Magnus Zethoven
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Bioinformatics Core Facility, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Joanne Huynh
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Theresa Wang
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Jue Er Amanda Lee
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia,Molecular Genomics Core, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Mia Friedman
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Lisa Devereux
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia,Lifepool, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Rodney J Scott
- Discipline of Medical Genetics and The Centre for Cancer Detection and Therapy, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia,Division of Molecular Medicine, New South Wales Health Pathology North, Newcastle, New South Wales, Australia
| | - Erica K Sloan
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Victoria, Australia,Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | - Ian G Campbell
- Correspondence to: Ian Campbell, PhD, Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia (e-mail: )
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9
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James PA, Fortuno C, Li N, Lim BWX, Campbell IG, Spurdle AB. Estimating the proportion of pathogenic variants from breast cancer case-control data: Application to calibration of ACMG/AMP variant classification criteria. Hum Mutat 2022; 43:882-888. [PMID: 35191126 DOI: 10.1002/humu.24357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 01/21/2022] [Accepted: 02/18/2022] [Indexed: 12/29/2022]
Abstract
For genes with reliable estimates of disease risk associated with loss-of-function variants, case-control data can be used to estimate the proportion of variants of typical risk effect for defined groups of variants, of relevance for variant classification. A calculation was derived for a maximum likelihood estimate of the proportion of pathogenic variants of typical effect from case-control data and applied to rare variant counts for ATM, BARD1, BRCA1, BRCA2, CHEK2, PALB2, RAD51C, and RAD51D from published breast cancer studies: BEACCON (5770 familial cases and 5741 controls) and breast cancer risk after diagnostic sequencing (60,466 familial and population-based cases and 53,461 controls). There was significant evidence of pathogenic variants among rare noncoding variants, in particular deeper intronic variants, for BRCA1 (13%, p = 8.3 × 10-7 ), BRCA2 (6%, p = 0.016) and PALB2 (13%, p = 0.001). The estimated proportion of pathogenic missense variants varied markedly between genes, generally with enrichment in familial cases, for example, 9% for BRCA2 versus 60%-90% for CHEK2. Stratifying missense variants by position indicated that, for most genes, location within a functional domain significantly predicted pathogenicity, whereas location outside domains provided robust evidence against pathogenicity. Our approach provides novel insights into the spectrum of pathogenic variants of specific breast cancer genes and has wider application to inform gene-focused specifications of American College of Medical Genetics and Genomics (ACMG)/Association of Molecular Pathology (AMP) codes for variant curation.
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Affiliation(s)
- Paul A James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Cristina Fortuno
- Genetics and Computational Division, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Na Li
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia.,Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Belle W X Lim
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Victoria, Australia
| | - Ian G Campbell
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.,Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Amanda B Spurdle
- Genetics and Computational Division, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
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10
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Lim BWX, Li N, Rowley SM, Thompson ER, McInerny S, Zethoven M, Scott RJ, Devereux L, Sloan EK, James PA, Campbell IG. Integration of tumour sequencing and case-control data to assess pathogenicity of RAD51C missense variants in familial breast cancer. NPJ Breast Cancer 2022; 8:10. [PMID: 35039523 PMCID: PMC8763908 DOI: 10.1038/s41523-021-00373-y] [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: 03/23/2021] [Accepted: 12/06/2021] [Indexed: 11/09/2022] Open
Abstract
While protein-truncating variants in RAD51C have been shown to predispose to triple-negative (TN) breast cancer (BC) and ovarian cancer, little is known about the pathogenicity of missense (MS) variants. The frequency of rare RAD51C MS variants was assessed in the BEACCON study of 5734 familial BC cases and 14,382 population controls, and findings were integrated with tumour sequencing data from 21 cases carrying a candidate variant. Collectively, a significant enrichment of rare MS variants was detected in cases (MAF < 0.001, OR 1.57, 95% CI 1.00-2.44, p = 0.05), particularly for variants with a REVEL score >0.5 (OR 3.95, 95% CI 1.40-12.01, p = 0.006). Sequencing of 21 tumours from 20 heterozygous and 1 homozygous carriers of nine candidate MS variants identified four cases with biallelic inactivation through loss of the wild-type allele, while six lost the variant allele and ten that remained heterozygous. Biallelic loss of the wild-type alleles corresponded strongly with ER- and TN breast tumours, high homologous recombination deficiency scores and mutational signature 3. Using this approach, the p.Gly264Ser variant, which was previously suspected to be pathogenic based on small case-control analyses and loss of activity in in vitro functional assays, was shown to be benign with similar prevalence in cases and controls and seven out of eight tumours showing no biallelic inactivation or characteristic mutational signature. Conversely, evaluation of case-control findings and tumour sequencing data identified p.Ile144Thr, p.Arg212His, p.Gln143Arg and p.Gly114Arg as variants warranting further investigation.
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Affiliation(s)
- Belle W X Lim
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Drug Delivery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Ella R Thompson
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Magnus Zethoven
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Bioinformatics Consulting Core, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Rodney J Scott
- Discipline of Medical Genetics and Centre for Information-Based Medicine, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia.,Division of Molecular Medicine, Pathology North, Newcastle, NSW, Australia
| | - Lisa Devereux
- Lifepool, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Erica K Sloan
- Drug Delivery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia.,Peter MacCallum Cancer Centre Division of Surgery, Melbourne, VIC, Australia
| | - Paul A James
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia. .,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia. .,Lifepool, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia. .,Cancer Genomics Program, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
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Sayad S, Abdi-Gamsae M, Jafari-Nedooshan J, Farbod M, Dastgheib SA, Karimi-Zarchi M, Asadian F, Neamatzadeh H. Association of AXIN2 s2240308 C>T, rs1133683 C>T, rs7224837 A>G Polymorphisms with Susceptibility to Breast Cancer. Asian Pac J Cancer Prev 2021; 22:2717-2722. [PMID: 34452579 PMCID: PMC8629482 DOI: 10.31557/apjcp.2021.22.8.2717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 08/21/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The association of genetic polymorphisms at Axis inhibition protein 2 (AXIN2) gene and susceptibility to different cancer has attracted much interest. The present study aimed to evaluate the association between AXIN2 rs2240308 C>T, rs1133683 C>T, rs7224837 A>G polymorphisms with susceptibility to breast cancer. METHODS A polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay was designed to genotype the AXIN2 rs2240308 C>T, rs1133683 C>T, rs7224837 A>G polymorphisms among 150 breast cancer patients and 150 healthy subjects. RESULTS The frequencies of these genetic variants were in agreement with Hardy-Weinberg equilibrium in healthy controls (p>0.05). The frequencies of AXIN2 rs2240308 C>T, rs1133683 C>T, rs7224837 A>G genotypes were similar in breast cancer patients and controls. There was no a significant association between the AXIN2 SNP and risk of breast cancer. CONCLUSION The impact of AXIN2 polymorphisms in the breast cancer development remains unclear. Our results indicated that AXIN2 rs2240308, rs7224837 and rs1133683 polymorphisms did not contribute to increased risk of breast cancer. More studies with larger sample sizes and diverse ethnicities are warranted to verify our finding.
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Affiliation(s)
- Soheila Sayad
- Department of Surgery, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mahdieh Abdi-Gamsae
- Department of Biology, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran.
| | | | - Meraj Farbod
- Cancer Institute, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Seyed Alireza Dastgheib
- Department of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Mojgan Karimi-Zarchi
- Department of Obstetrics and Gynecology, Iran University of Medical Sciences, Tehran, Iran.
- Endometriosis Research Center, Iran University of Medical Sciences, Tehran, Iran.
| | - Fatemeh Asadian
- Department of Medical Laboratory Sciences, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Hossein Neamatzadeh
- Department of Medical Genetics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
- Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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Investigation of monogenic causes of familial breast cancer: data from the BEACCON case-control study. NPJ Breast Cancer 2021; 7:76. [PMID: 34117267 PMCID: PMC8196173 DOI: 10.1038/s41523-021-00279-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 05/03/2021] [Indexed: 01/19/2023] Open
Abstract
Breast cancer (BC) has a significant heritable component but the genetic contribution remains unresolved in the majority of high-risk BC families. This study aims to investigate the monogenic causes underlying the familial aggregation of BC beyond BRCA1 and BRCA2, including the identification of new predisposing genes. A total of 11,511 non-BRCA familial BC cases and population-matched cancer-free female controls in the BEACCON study were investigated in two sequencing phases: 1303 candidate genes in up to 3892 cases and controls, followed by validation of 145 shortlisted genes in an additional 7619 subjects. The coding regions and exon–intron boundaries of all candidate genes and 14 previously proposed BC genes were sequenced using custom designed sequencing panels. Pedigree and pathology data were analysed to identify genotype-specific associations. The contribution of ATM, PALB2 and CHEK2 to BC predisposition was confirmed, but not RAD50 and NBN. An overall excess of loss-of-function (LoF) (OR 1.27, p = 9.05 × 10−9) and missense (OR 1.27, p = 3.96 × 10−73) variants was observed in the cases for the 145 candidate genes. Leading candidates harbored LoF variants with observed ORs of 2–4 and individually accounted for no more than 0.79% of the cases. New genes proposed by this study include NTHL1, WRN, PARP2, CTH and CDK9. The new candidate BC predisposition genes identified in BEACCON indicate that much of the remaining genetic causes of high-risk BC families are due to genes in which pathogenic variants are both very rare and convey only low to moderate risk.
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