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Hinić S, Cybulski C, Van der Post RS, Vos JR, Schuurs-Hoeijmakers J, Brugnoletti F, Koene S, Vreede L, van Zelst-Stams WAG, Kets CM, Haadsma M, Spruijt L, Wevers MR, Evans DG, Wimmer K, Schnaiter S, Volk AE, Möllring A, de Putter R, Soikkonen L, Kahre T, Tooming M, de Jong MM, Vaz F, Mensenkamp AR, Genuardi M, Lubinski J, Ligtenberg M, Hoogerbrugge N, de Voer RM. The heterogeneous cancer phenotype of individuals with biallelic germline pathogenic variants in CHEK2. Genet Med 2024; 26:101101. [PMID: 38362852 DOI: 10.1016/j.gim.2024.101101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/17/2024] Open
Abstract
PURPOSE Females with biallelic CHEK2 germline pathogenic variants (gPVs) more often develop multiple breast cancers than individuals with monoallelic CHEK2 gPVs. This study is aimed at expanding the knowledge on the occurrence of other malignancies. METHODS Exome sequencing of individuals who developed multiple primary malignancies identified 3 individuals with the CHEK2 (NM_007194.4) c.1100del p.(Thr367MetfsTer15) loss-of-function gPV in a biallelic state. We collected the phenotypes of an additional cohort of individuals with CHEK2 biallelic gPVs (n = 291). RESULTS In total, 157 individuals (53.4%; 157/294 individuals) developed ≥1 (pre)malignancy. The most common (pre)malignancies next to breast cancer were colorectal- (n = 19), thyroid- (n = 19), and prostate (pre)malignancies (n = 12). Females with biallelic CHEK2 loss-of-function gPVs more frequently developed ≥2 (pre)malignancies and at an earlier age compared with females biallelic for the CHEK2 c.470T>C p.(Ile157Thr) missense variant. Furthermore, 26 males (31%; 26/84 males) with CHEK2 biallelic gPVs developed ≥1 (pre)malignancies of 15 origins. CONCLUSION Our study suggests that CHEK2 biallelic gPVs likely increase the susceptibility to develop multiple malignancies in various tissues, both in females and males. However, it is possible that a substantial proportion of individuals with CHEK2 biallelic gPVs is missed as diagnostic testing for CHEK2 often is limited to individuals who developed breast cancer.
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Affiliation(s)
- Snežana Hinić
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland; European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands
| | - Rachel S Van der Post
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Radboud University Medical Center, Research Institute for Medical Innovation, Department of Pathology, Nijmegen, The Netherlands
| | - Janet R Vos
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands; European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands
| | - Janneke Schuurs-Hoeijmakers
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands
| | - Fulvia Brugnoletti
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands; Genomic Medicine, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Saskia Koene
- Leiden University Medical Center, Department of Clinical Genetics, Leiden, The Netherlands
| | - Lilian Vreede
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands
| | - Wendy A G van Zelst-Stams
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands
| | - C Marleen Kets
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands
| | - Maaike Haadsma
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands
| | - Liesbeth Spruijt
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands
| | - Marijke R Wevers
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands
| | - D Gareth Evans
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; The University of Manchester, Genomic Medicine, Division of Evolution, Infection and Genomic Sciences, Manchester, United Kingdom
| | - Katharina Wimmer
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Simon Schnaiter
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Institute of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Alexander E Volk
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anna Möllring
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Robin de Putter
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Leila Soikkonen
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Oulu University Hospital, Department of Clinical Genetics, Oulu, Finland
| | - Tiina Kahre
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Genetics and Personalized Medicine Clinic, Department of Laboratory Genetics, Tartu University Hospital, Tartu, Estonia; Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Mikk Tooming
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Genetics and Personalized Medicine Clinic, Department of Laboratory Genetics, Tartu University Hospital, Tartu, Estonia; Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Mirjam M de Jong
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - Fátima Vaz
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Instituto Português Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal
| | - Arjen R Mensenkamp
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands
| | - Maurizio Genuardi
- European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Genomic Medicine, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy; Medical Genetics Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Jan Lubinski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland; European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands
| | - Marjolijn Ligtenberg
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands; European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands; Radboud University Medical Center, Research Institute for Medical Innovation, Department of Pathology, Nijmegen, The Netherlands
| | - Nicoline Hoogerbrugge
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands; European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands
| | - Richarda M de Voer
- Radboud University Medical Center, Research Institute for Medical Innovation, Department of Human Genetics, Nijmegen, The Netherlands; European Reference Network for Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, The Netherlands.
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McDevitt T, Durkie M, Arnold N, Burghel GJ, Butler S, Claes KBM, Logan P, Robinson R, Sheils K, Wolstenholme N, Hanson H, Turnbull C, Hume S. EMQN best practice guidelines for genetic testing in hereditary breast and ovarian cancer. Eur J Hum Genet 2024; 32:479-488. [PMID: 38443545 PMCID: PMC11061103 DOI: 10.1038/s41431-023-01507-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 11/07/2023] [Accepted: 11/21/2023] [Indexed: 03/07/2024] Open
Abstract
Hereditary Breast and Ovarian Cancer (HBOC) is a genetic condition associated with increased risk of cancers. The past decade has brought about significant changes to hereditary breast and ovarian cancer (HBOC) diagnostic testing with new treatments, testing methods and strategies, and evolving information on genetic associations. These best practice guidelines have been produced to assist clinical laboratories in effectively addressing the complexities of HBOC testing, while taking into account advancements since the last guidelines were published in 2007. These guidelines summarise cancer risk data from recent studies for the most commonly tested high and moderate risk HBOC genes for laboratories to refer to as a guide. Furthermore, recommendations are provided for somatic and germline testing services with regards to clinical referral, laboratory analyses, variant interpretation, and reporting. The guidelines present recommendations where 'must' is assigned to advocate that the recommendation is essential; and 'should' is assigned to advocate that the recommendation is highly advised but may not be universally applicable. Recommendations are presented in the form of shaded italicised statements throughout the document, and in the form of a table in supplementary materials (Table S4). Finally, for the purposes of encouraging standardisation and aiding implementation of recommendations, example report wording covering the essential points to be included is provided for the most common HBOC referral and reporting scenarios. These guidelines are aimed primarily at genomic scientists working in diagnostic testing laboratories.
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Affiliation(s)
- Trudi McDevitt
- Department of Clinical Genetics, Children's Health Ireland at Crumlin, Dublin, Ireland.
| | - Miranda Durkie
- Sheffield Diagnostic Genetics Service, North East and Yorkshire Genomic Laboratory Hub, Sheffield Children's NHS Foundation Trust Western Bank, Sheffield, UK
| | - Norbert Arnold
- UKSH Campus Kiel, Gynecology and Obstetrics, Institut of Clinical Chemistry, Institut of Clinical Molecular Biology, Kiel, Germany
| | - George J Burghel
- Manchester University NHS Foundation Trust, North West Genomic Laboratory Hub, Manchester, UK
| | - Samantha Butler
- Central and South Genomic Laboratory Hub, West Midlands Regional Genetics Laboratory, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | | | - Peter Logan
- HSCNI / Belfast Trust Laboratories, Regional Molecular Diagnostics Service, Belfast, Northern Ireland
| | - Rachel Robinson
- Leeds Teaching Hospitals NHS Trust, Genetics Department, Leeds, UK
| | | | | | - Helen Hanson
- St George's University Hospitals NHS Foundation Trust, Clinical Genetics, London, UK
| | | | - Stacey Hume
- University of British Columbia, Pathology and Laboratory Medicine, Vancouver, British Columbia, Canada
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Sanoguera-Miralles L, Llinares-Burguet I, Bueno-Martínez E, Ramadane-Morchadi L, Stuani C, Valenzuela-Palomo A, García-Álvarez A, Pérez-Segura P, Buratti E, de la Hoya M, Velasco-Sampedro EA. Comprehensive splicing analysis of the alternatively spliced CHEK2 exons 8 and 10 reveals three enhancer/silencer-rich regions and 38 spliceogenic variants. J Pathol 2024; 262:395-409. [PMID: 38332730 DOI: 10.1002/path.6243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/26/2023] [Accepted: 11/28/2023] [Indexed: 02/10/2024]
Abstract
Splicing is controlled by a large set of regulatory elements (SREs) including splicing enhancers and silencers, which are involved in exon recognition. Variants at these motifs may dysregulate splicing and trigger loss-of-function transcripts associated with disease. Our goal here was to study the alternatively spliced exons 8 and 10 of the breast cancer susceptibility gene CHEK2. For this purpose, we used a previously published minigene with exons 6-10 that produced the expected minigene full-length transcript and replicated the naturally occurring events of exon 8 [Δ(E8)] and exon 10 [Δ(E10)] skipping. We then introduced 12 internal microdeletions of exons 8 and 10 by mutagenesis in order to map SRE-rich intervals by splicing assays in MCF-7 cells. We identified three minimal (10-, 11-, 15-nt) regions essential for exon recognition: c.863_877del [ex8, Δ(E8): 75%] and c.1073_1083del and c.1083_1092del [ex10, Δ(E10): 97% and 62%, respectively]. Then 87 variants found within these intervals were introduced into the wild-type minigene and tested functionally. Thirty-eight of them (44%) impaired splicing, four of which (c.883G>A, c.883G>T, c.884A>T, and c.1080G>T) induced negligible amounts (<5%) of the minigene full-length transcript. Another six variants (c.886G>A, c.886G>T, c.1075G>A, c.1075G>T, c.1076A>T, and c.1078G>T) showed significantly strong impacts (20-50% of the minigene full-length transcript). Thirty-three of the 38 spliceogenic variants were annotated as missense, three as nonsense, and two as synonymous, underlying the fact that any exonic change is capable of disrupting splicing. Moreover, c.883G>A, c.883G>T, and c.884A>T were classified as pathogenic/likely pathogenic variants according to ACMG/AMP (American College of Medical Genetics and Genomics/Association for Molecular Pathology)-based criteria. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Lara Sanoguera-Miralles
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Inés Llinares-Burguet
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Elena Bueno-Martínez
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Lobna Ramadane-Morchadi
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Cristiana Stuani
- Molecular Pathology Lab. International Centre of Genetic Engineering and Biotechnology, Trieste, Italy
| | - Alberto Valenzuela-Palomo
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Alicia García-Álvarez
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Pedro Pérez-Segura
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Emanuele Buratti
- Molecular Pathology Lab. International Centre of Genetic Engineering and Biotechnology, Trieste, Italy
| | - Miguel de la Hoya
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Eladio A Velasco-Sampedro
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
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Brock P, Liynarachchi S, Nieminen TT, Chan C, Kohlmann W, Stout LA, Yao S, La Greca A, Jensen KE, Kolesar JM, Salhia B, Gulhati P, Hicks JK, Ringel MD. CHEK2 Founder Variants and Thyroid Cancer Risk. Thyroid 2024; 34:477-483. [PMID: 38279823 PMCID: PMC10998703 DOI: 10.1089/thy.2023.0529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2024]
Abstract
Background: Germline pathogenic variants in CHEK2 are associated with a moderate increase in the lifetime risk for breast cancer. Increased risk for other cancers, including non-medullary thyroid cancer (NMTC), has also been suggested. To date, data implicating CHEK2 variants in NMTC predisposition primarily derive from studies within Poland, driven by a splice site variant (c.444 + 1G>A) that is uncommon in other populations. In contrast, the predominant CHEK2 variants in non-Polish populations are c.1100del and c.470T>C/p.I157T, representing 61.1% and 63.8%, respectively, of all CHEK2 pathogenic variants in two large U.S.-based commercial laboratory datasets. To further delineate the impact of common CHEK2 variants on thyroid cancer, we aimed to investigate the association of three CHEK2 founder variants (c.444 + 1G>A, c.1100del, and c.470T>C/p.Ile157Thr) on NMTC susceptibility in three groups of unselected NMTC patients. Methods: The presence of three CHEK2 founder variants was assessed within three groups: (1) 1544 NMTC patients (and 1593 controls) from previously published genome-wide association study (GWAS) analyses, (2) 789 NMTC patients with germline exome sequencing (Oncology Research Information Exchange Network [ORIEN] Avatar), and (3) 499 NMTC patients with germline sequence data available in The Cancer Genome Atlas (TCGA). A case-control study design was utilized with odds ratios (ORs) calculated by comparison of all three groups with the Ohio State University GWAS control group. Results: The predominant Polish variant (c.444 + 1G>A) was present in only one case. The proportion of patients with c.1100del was 0.92% in the GWAS group, 1.65% in the ORIEN Avatar group, and 0.80% in the TCGA group. The ORs (with 95% confidence intervals [CIs]) for NMTC associated with c.1100del were 1.71 (0.73-4.29), 2.64 (0.95-7.63), and 2.5 (0.63-8.46), respectively. The proportion of patients with c.470T>C/p.I157T was 0.91% in the GWAS group, 0.76% in the ORIEN Avatar group, and 0.80% in the TCGA group, respectively. The ORs (with CIs) for NMTC associated with c.470T>C/p.I157T were 1.75 (0.74-4.39), 1.52 (0.42-4.96), and 2.31 (0.58-7.90), respectively. Conclusions: Our analyses of unselected patients with NMTC suggest that CHEK2 variants c.1100del and c.470T>C/p.I157T have only a modest impact on thyroid cancer risk. These results provide important information for providers regarding the relatively low magnitude of thyroid cancer risk associated with these CHEK2 variants.
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Affiliation(s)
- Pamela Brock
- Division of Human Genetics, The Ohio State University College of Medicine, Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Sandya Liynarachchi
- Department of Molecular Medicine and Therapeutics, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Taina T. Nieminen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
| | - Carlos Chan
- Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Wendy Kohlmann
- University of Utah, Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Leigh Anne Stout
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Song Yao
- Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Amanda La Greca
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado, Aurora, Colorado, USA
| | - Kirk E. Jensen
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Jill M. Kolesar
- College of Pharmacy, University of Kentucky, Lexington, Kentucky, USA
| | - Bodour Salhia
- Department of Translational Genomics, Norris Comprehensive Cancer Center, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
| | - Pat Gulhati
- Department of Medical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA
| | - J. Kevin Hicks
- Department of Pathology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Matthew D. Ringel
- Department of Molecular Medicine and Therapeutics, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
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Valentini V, Bucalo A, Conti G, Celli L, Porzio V, Capalbo C, Silvestri V, Ottini L. Gender-Specific Genetic Predisposition to Breast Cancer: BRCA Genes and Beyond. Cancers (Basel) 2024; 16:579. [PMID: 38339330 PMCID: PMC10854694 DOI: 10.3390/cancers16030579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/24/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
Among neoplastic diseases, breast cancer (BC) is one of the most influenced by gender. Despite common misconceptions associating BC as a women-only disease, BC can also occur in men. Additionally, transgender individuals may also experience BC. Genetic risk factors play a relevant role in BC predisposition, with important implications in precision prevention and treatment. The genetic architecture of BC susceptibility is similar in women and men, with high-, moderate-, and low-penetrance risk variants; however, some sex-specific features have emerged. Inherited high-penetrance pathogenic variants (PVs) in BRCA1 and BRCA2 genes are the strongest BC genetic risk factor. BRCA1 and BRCA2 PVs are more commonly associated with increased risk of female and male BC, respectively. Notably, BRCA-associated BCs are characterized by sex-specific pathologic features. Recently, next-generation sequencing technologies have helped to provide more insights on the role of moderate-penetrance BC risk variants, particularly in PALB2, CHEK2, and ATM genes, while international collaborative genome-wide association studies have contributed evidence on common low-penetrance BC risk variants, on their combined effect in polygenic models, and on their role as risk modulators in BRCA1/2 PV carriers. Overall, all these studies suggested that the genetic basis of male BC, although similar, may differ from female BC. Evaluating the genetic component of male BC as a distinct entity from female BC is the first step to improve both personalized risk assessment and therapeutic choices of patients of both sexes in order to reach gender equality in BC care. In this review, we summarize the latest research in the field of BC genetic predisposition with a particular focus on similarities and differences in male and female BC, and we also discuss the implications, challenges, and open issues that surround the establishment of a gender-oriented clinical management for BC.
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Affiliation(s)
- Virginia Valentini
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy; (V.V.); (A.B.); (G.C.); (L.C.); (V.P.); (C.C.); (V.S.)
| | - Agostino Bucalo
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy; (V.V.); (A.B.); (G.C.); (L.C.); (V.P.); (C.C.); (V.S.)
| | - Giulia Conti
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy; (V.V.); (A.B.); (G.C.); (L.C.); (V.P.); (C.C.); (V.S.)
| | - Ludovica Celli
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy; (V.V.); (A.B.); (G.C.); (L.C.); (V.P.); (C.C.); (V.S.)
| | - Virginia Porzio
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy; (V.V.); (A.B.); (G.C.); (L.C.); (V.P.); (C.C.); (V.S.)
| | - Carlo Capalbo
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy; (V.V.); (A.B.); (G.C.); (L.C.); (V.P.); (C.C.); (V.S.)
- Medical Oncology Unit, Sant’Andrea University Hospital, 00189 Rome, Italy
| | - Valentina Silvestri
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy; (V.V.); (A.B.); (G.C.); (L.C.); (V.P.); (C.C.); (V.S.)
| | - Laura Ottini
- Department of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy; (V.V.); (A.B.); (G.C.); (L.C.); (V.P.); (C.C.); (V.S.)
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Infante M, Arranz-Ledo M, Lastra E, Olaverri A, Ferreira R, Orozco M, Hernández L, Martínez N, Durán M. Profiling of the genetic features of patients with breast, ovarian, colorectal and extracolonic cancers: Association to CHEK2 and PALB2 germline mutations. Clin Chim Acta 2024; 552:117695. [PMID: 38061684 DOI: 10.1016/j.cca.2023.117695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 12/04/2023] [Accepted: 12/04/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND AND AIMS Cancer predisposition goes beyond BRCA and DNA Mismatch Repair (MMR) genes since multi-gene panel testing has become the routine diagnostic tool for hereditary cancer suspicion (HCS) cases. CHEK2 and PALB2 are some of the foremost-mutated non-BRCA/MMR actionable genes in families with a significant familial aggregation. Therefore, the purpose of this work is to unravel which tumours other than breast, ovary or colorectal display the patients. MATERIALS AND METHODS We have analysed 528 probands that meet the inclusion criteria for Hereditary Breast and Ovarian Cancer and Lynch Syndrome established by our Hereditary Cancer Regional Program with a customized 35 genes-panel by using Ion Torrent™ Technology. RESULTS We have identified pathogenic variants (PVs) in 61 families (1.55%), of which more than half (31 probands) harboured PVs in CHEK2 and PALB2 genes. Ours results reveal that not only were PVs CHEK2 and PALB2 carriers more likely to have family history of cancer not limited to breast, ovarian or colorectal cancers, but also they are prone to other extracolonic cancers, noteworthy endometrial and gastric cancers. CONCLUSIONS Multigene panel testing improves the chance of finding PVs in actionable genes in families with HCS. In addition, the coexistence of variants should be recorded to implement a polygenic risk algorithm that might explain the missing heritability in the aforementioned families.
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Affiliation(s)
- Mar Infante
- Cancer Genetics Group, Unit of Excellence Institute of Biomedicine and Molecular Genetics , University of Valladolid-Spanish National Research Council (IBGM, UVa-CSIC), C/ Sanz y Forés 3, 47003 Valladolid, Spain.
| | - Mónica Arranz-Ledo
- Cancer Genetics Group, Unit of Excellence Institute of Biomedicine and Molecular Genetics , University of Valladolid-Spanish National Research Council (IBGM, UVa-CSIC), C/ Sanz y Forés 3, 47003 Valladolid, Spain
| | - Enrique Lastra
- Unit of Genetic Counseling in Cancer, Burgos University Hospital, Burgos, Spain
| | - Amaya Olaverri
- Unit of Genetic Counseling in Cancer, Rio Hortega University Hospital, Valladolid, Spain
| | - Raquel Ferreira
- Unit of Genetic Counseling in Cancer, Rio Hortega University Hospital, Valladolid, Spain
| | - Marta Orozco
- Unit of Genetic Counseling in Cancer, Rio Hortega University Hospital, Valladolid, Spain
| | - Lara Hernández
- Cancer Genetics Group, Unit of Excellence Institute of Biomedicine and Molecular Genetics , University of Valladolid-Spanish National Research Council (IBGM, UVa-CSIC), C/ Sanz y Forés 3, 47003 Valladolid, Spain
| | - Noemí Martínez
- Cancer Genetics Group, Unit of Excellence Institute of Biomedicine and Molecular Genetics , University of Valladolid-Spanish National Research Council (IBGM, UVa-CSIC), C/ Sanz y Forés 3, 47003 Valladolid, Spain
| | - Mercedes Durán
- Cancer Genetics Group, Unit of Excellence Institute of Biomedicine and Molecular Genetics , University of Valladolid-Spanish National Research Council (IBGM, UVa-CSIC), C/ Sanz y Forés 3, 47003 Valladolid, Spain
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7
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Doagooyan M, Alavizadeh SH, Sahebkar A, Houshangi K, Khoddamipour Z, Gheybi F. Anti-tumor activity of silymarin nanoliposomes in combination with iron: In vitro and in vivo study. Int J Pharm X 2023; 6:100214. [PMID: 38024450 PMCID: PMC10660084 DOI: 10.1016/j.ijpx.2023.100214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/13/2023] [Accepted: 10/21/2023] [Indexed: 12/01/2023] Open
Abstract
Combination therapy represents a promising strategy in cancer management by reducing chemotherapy resistance and associated side effects. Silymarin (SLM) has been extensively investigated due to its potent antioxidant properties and demonstrated efficacy against cancer cells. Under certain conditions however, polyphenolic compounds may also exhibit prooxidant activity by elevating intracellular reactive oxygen species (ROS), which can harm the target cells. In this study, we hypothesized that the simultaneous administration of iron (Fe) could alter the antioxidant characteristic of SLM nanoliposomes (SLM Lip) to a prooxidant state. Hence, we first developed a SLM Lip preparation using lipid film method, and then investigated the anti-oxidant properties as well as the cytotoxicity of the liposomal preparation. We also explored the efficacy of concomitant administration of iron sucrose and SML Lip on the tumor growth and survival of mice bearing tumors. We observed that exposing cells to iron, and consecutive treatment with SLM Lip (Fe + SLM Lip) could induce greater toxicity to 4 T1 breast cancer cells compared to SLM Lip. Further, Fe + SLM Lip combination demonstrated a time-dependent effect on reducing the catalase activity compared to SLM Lip, while iron treatment did not alter cell toxicity and catalase activity. In a mouse breast cancer model, the therapeutic efficacy of Fe + SLM Lip was superior compared to SLM Lip, and the treated animals survived longer. The histopathological findings did not reveal a significant damage to the major organs, whereas the most significant tumor necrosis was evident with Fe + SLM Lip treatment. The outcomes of the present investigation unequivocally underscored the prospective use of Fe + SLM combination in the context of cancer therapy, which warrants further scrutiny.
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Affiliation(s)
- Maham Doagooyan
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyedeh Hoda Alavizadeh
- Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Pharmaceutical Nanotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Kebria Houshangi
- Department of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Zahra Khoddamipour
- Department of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Fatemeh Gheybi
- Department of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
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8
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Ahmad RM, Ali BR, Al-Jasmi F, Sinnott RO, Al Dhaheri N, Mohamad MS. A review of genetic variant databases and machine learning tools for predicting the pathogenicity of breast cancer. Brief Bioinform 2023; 25:bbad479. [PMID: 38149678 PMCID: PMC10782903 DOI: 10.1093/bib/bbad479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/22/2023] [Accepted: 12/04/2023] [Indexed: 12/28/2023] Open
Abstract
Studies continue to uncover contributing risk factors for breast cancer (BC) development including genetic variants. Advances in machine learning and big data generated from genetic sequencing can now be used for predicting BC pathogenicity. However, it is unclear which tool developed for pathogenicity prediction is most suited for predicting the impact and pathogenicity of variant effects. A significant challenge is to determine the most suitable data source for each tool since different tools can yield different prediction results with different data inputs. To this end, this work reviews genetic variant databases and tools used specifically for the prediction of BC pathogenicity. We provide a description of existing genetic variants databases and, where appropriate, the diseases for which they have been established. Through example, we illustrate how they can be used for prediction of BC pathogenicity and discuss their associated advantages and disadvantages. We conclude that the tools that are specialized by training on multiple diverse datasets from different databases for the same disease have enhanced accuracy and specificity and are thereby more helpful to the clinicians in predicting and diagnosing BC as early as possible.
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Affiliation(s)
- Rahaf M Ahmad
- Health Data Science Lab, Department of Genetics and Genomics, College of Medical and Health Sciences, United Arab Emirates University, Tawam road, Al Maqam district, Al Ain, Abu Dhabi, United Arab Emirates
| | - Bassam R Ali
- Health Data Science Lab, Department of Genetics and Genomics, College of Medical and Health Sciences, United Arab Emirates University, Tawam road, Al Maqam district, Al Ain, Abu Dhabi, United Arab Emirates
| | - Fatma Al-Jasmi
- Health Data Science Lab, Department of Genetics and Genomics, College of Medical and Health Sciences, United Arab Emirates University, Tawam road, Al Maqam district, Al Ain, Abu Dhabi, United Arab Emirates
- Division of Metabolic Genetics, Department of Pediatrics, Tawam Hospital, Al Ain, United Arab Emirates
| | - Richard O Sinnott
- School of Computing and Information System, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Noura Al Dhaheri
- Health Data Science Lab, Department of Genetics and Genomics, College of Medical and Health Sciences, United Arab Emirates University, Tawam road, Al Maqam district, Al Ain, Abu Dhabi, United Arab Emirates
- Division of Metabolic Genetics, Department of Pediatrics, Tawam Hospital, Al Ain, United Arab Emirates
| | - Mohd Saberi Mohamad
- Health Data Science Lab, Department of Genetics and Genomics, College of Medical and Health Sciences, United Arab Emirates University, Tawam road, Al Maqam district, Al Ain, Abu Dhabi, United Arab Emirates
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9
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Hanson H, Astiazaran-Symonds E, Amendola LM, Balmaña J, Foulkes WD, James P, Klugman S, Ngeow J, Schmutzler R, Voian N, Wick MJ, Pal T, Tischkowitz M, Stewart DR. Management of individuals with germline pathogenic/likely pathogenic variants in CHEK2: A clinical practice resource of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2023; 25:100870. [PMID: 37490054 PMCID: PMC10623578 DOI: 10.1016/j.gim.2023.100870] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/21/2023] [Accepted: 04/24/2023] [Indexed: 07/26/2023] Open
Abstract
PURPOSE Although the role of CHEK2 germline pathogenic variants in cancer predisposition is well known, resources for managing CHEK2 heterozygotes in clinical practice are limited. METHODS An international workgroup developed guidance on clinical management of CHEK2 heterozygotes informed by peer-reviewed publications from PubMed. RESULTS Although CHEK2 is considered a moderate penetrance gene, cancer risks may be considered as a continuous variable, which are influenced by family history and other modifiers. Consequently, early cancer detection and prevention for CHEK2 heterozygotes should be guided by personalized risk estimates. Such estimates may result in both downgrading lifetime breast cancer risks to those similar to the general population or upgrading lifetime risk to a level at which CHEK2 heterozygotes are offered high-risk breast surveillance according to country-specific guidelines. Risk-reducing mastectomy should be guided by personalized risk estimates and shared decision making. Colorectal and prostate cancer surveillance should be considered based on assessment of family history. For CHEK2 heterozygotes who develop cancer, no specific targeted medical treatment is recommended at this time. CONCLUSION Systematic prospective data collection is needed to establish the spectrum of CHEK2-associated cancer risks and to determine yet-unanswered questions, such as the outcomes of surveillance, response to cancer treatment, and survival after cancer diagnosis.
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Affiliation(s)
- Helen Hanson
- Southwest Thames Regional Genetics Service, St George's University Hospitals NHS Foundation Trust, London, United Kingdom
| | - Esteban Astiazaran-Symonds
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD; Department of Medicine, College of Medicine-Tucson, University of Arizona, Tucson, AZ
| | | | - Judith Balmaña
- Hereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain; Medical Oncology Department, Hospital Universitari Vall d'Hebron, Vall d'Hebron Hospital Campus, Barcelona, Spain
| | - William D Foulkes
- Departments of Human Genetics, Oncology and Medicine, McGill University, Montréal, QC, Canada
| | - Paul James
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia; Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Susan Klugman
- Division of Reproductive & Medical Genetics, Department of Obstetrics & Gynecology and Women's Health, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Joanne Ngeow
- Genomic Medicine, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Cancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Rita Schmutzler
- Center of Integrated Oncology (CIO), University of Cologne, Cologne, Germany; Center for Hereditary Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
| | - Nicoleta Voian
- Providence Genetic Risk Clinic, Providence Cancer Institute, Portland, OR
| | - Myra J Wick
- Departments of Obstetrics and Gynecology and Clinical Genomics, Mayo Clinic, Rochester, MN
| | - Tuya Pal
- Department of Medicine, Vanderbilt University Medical Center/Vanderbilt-Ingram Cancer Center, Nashville, TN
| | - Marc Tischkowitz
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Douglas R Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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Sahu S, Sullivan TL, Mitrophanov AY, Galloux M, Nousome D, Southon E, Caylor D, Mishra AP, Evans CN, Clapp ME, Burkett S, Malys T, Chari R, Biswas K, Sharan SK. Saturation genome editing of 11 codons and exon 13 of BRCA2 coupled with chemotherapeutic drug response accurately determines pathogenicity of variants. PLoS Genet 2023; 19:e1010940. [PMID: 37713444 PMCID: PMC10529611 DOI: 10.1371/journal.pgen.1010940] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 09/27/2023] [Accepted: 08/28/2023] [Indexed: 09/17/2023] Open
Abstract
The unknown pathogenicity of a significant number of variants found in cancer-related genes is attributed to limited epidemiological data, resulting in their classification as variant of uncertain significance (VUS). To date, Breast Cancer gene-2 (BRCA2) has the highest number of VUSs, which has necessitated the development of several robust functional assays to determine their functional significance. Here we report the use of a humanized-mouse embryonic stem cell (mESC) line expressing a single copy of the human BRCA2 for a CRISPR-Cas9-based high-throughput functional assay. As a proof-of-principle, we have saturated 11 codons encoded by BRCA2 exons 3, 18, 19 and all possible single-nucleotide variants in exon 13 and multiplexed these variants for their functional categorization. Specifically, we used a pool of 180-mer single-stranded donor DNA to generate all possible combination of variants. Using a high throughput sequencing-based approach, we show a significant drop in the frequency of non-functional variants, whereas functional variants are enriched in the pool of the cells. We further demonstrate the response of these variants to the DNA-damaging agents, cisplatin and olaparib, allowing us to use cellular survival and drug response as parameters for variant classification. Using this approach, we have categorized 599 BRCA2 variants including 93-single nucleotide variants (SNVs) across the 11 codons, of which 28 are reported in ClinVar. We also functionally categorized 252 SNVs from exon 13 into 188 functional and 60 non-functional variants, demonstrating that saturation genome editing (SGE) coupled with drug sensitivity assays can enhance functional annotation of BRCA2 VUS.
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Affiliation(s)
- Sounak Sahu
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Teresa L. Sullivan
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Alexander Y. Mitrophanov
- Statistical Consulting and Scientific Programming, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Maryland, United States of America
| | | | - Darryl Nousome
- CCR Bioinformatics Resource, Leidos Biomedical Sciences, Inc. Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Eileen Southon
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Dylan Caylor
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Arun Prakash Mishra
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Christine N. Evans
- Genome Modification Core, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Michelle E. Clapp
- Genome Modification Core, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Sandra Burkett
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Tyler Malys
- Statistical Consulting and Scientific Programming, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Maryland, United States of America
| | - Raj Chari
- Genome Modification Core, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Kajal Biswas
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Shyam K. Sharan
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
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11
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Draper GM, Panken DJ, Largaespada DA. Modeling human cancer predisposition syndromes using CRISPR/Cas9 in human cell line models. Genes Chromosomes Cancer 2023; 62:493-500. [PMID: 36959711 PMCID: PMC10517061 DOI: 10.1002/gcc.23140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/12/2023] [Accepted: 03/16/2023] [Indexed: 03/25/2023] Open
Abstract
The advancement of CRISPR mediated gene engineering provides an opportunity to improve upon preclinical human cell line models of cancer predisposing syndromes. This review focuses on using CRISPR/Cas9 genome editing tools to model various human cancer predisposition syndromes. We examine the genetic mutations associated with neurofibromatosis type 1, Li-Fraumeni syndrome, Gorlin syndrome, BRCA mutant breast and ovarian cancers, and APC mutant cancers. Furthermore, we discuss the possibilities of using next-generation CRISPR-derived precision gene editing tools to introduce a variety of genetic lesions into human cell lines. The goal is to improve the quality of preclinical models surrounding these cancer predisposition syndromes through dissecting the effects of these mutations on the development of cancer and to provide new insights into the underlying mechanisms of these cancer predisposition syndromes. These studies demonstrate the continued utility and improvement of CRISPR/Cas9-induced human cell line models in studying the genetic basis of cancer.
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Affiliation(s)
- Garrett M Draper
- Department of Pediatrics, University of Minnesota Twin Cities, Minneapolis, USA
- Comparative Molecular Biosciences PhD Program, University of Minnesota Twin Cities, Minneapolis, USA
| | - Daniel J Panken
- Department of Pediatrics, University of Minnesota Twin Cities, Minneapolis, USA
| | - David A Largaespada
- Department of Pediatrics, University of Minnesota Twin Cities, Minneapolis, USA
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12
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Stolarova L, Kleiblova P, Zemankova P, Stastna B, Janatova M, Soukupova J, Achatz MI, Ambrosone C, Apostolou P, Arun BK, Auer P, Barnard M, Bertelsen B, Blok MJ, Boddicker N, Brunet J, Burnside ES, Calvello M, Campbell I, Chan SH, Chen F, Chiang JB, Coppa A, Cortesi L, Crujeiras-González A, De Leeneer K, De Putter R, DePersia A, Devereux L, Domchek S, Efremidis A, Engel C, Ernst C, Evans DGR, Feliubadaló L, Fostira F, Fuentes-Ríos O, Gómez-García EB, González S, Haiman C, Hansen TVO, Hauke J, Hodge J, Hu C, Huang H, Ishak NDB, Iwasaki Y, Konstantopoulou I, Kraft P, Lacey J, Lázaro C, Li N, Lim WK, Lindstrom S, Lori A, Martinez E, Martins A, Matsuda K, Matullo G, McInerny S, Michailidou K, Montagna M, Monteiro AN, Mori L, Nathanson K, Neuhausen SL, Nevanlinna H, Olson JE, Palmer J, Pasini B, Patel A, Piane M, Poppe B, Radice P, Renieri A, Resta N, Richardson ME, Rosseel T, Ruddy KJ, Santamariña M, Dos Santos ES, Teras L, Toland AE, Trentham-Dietz A, Vachon CM, Volk AE, Weber-Lassalle N, Weitzel JN, Wiesmuller L, Winham S, Yadav S, Yannoukakos D, Yao S, Zampiga V, Zethoven M, Zhang ZW, Zima T, Spurdle AB, Vega A, Rossing M, Del Valle J, De Nicolo A, Hahnen E, Claes KB, Ngeow J, Momozawa Y, James PA, Couch FJ, Macurek L, Kleibl Z. ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk. Clin Cancer Res 2023; 29:3037-3050. [PMID: 37449874 PMCID: PMC10425727 DOI: 10.1158/1078-0432.ccr-23-0212] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 04/06/2023] [Accepted: 06/14/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE Germline pathogenic variants in CHEK2 confer moderately elevated breast cancer risk (odds ratio, OR ∼ 2.5), qualifying carriers for enhanced breast cancer screening. Besides pathogenic variants, dozens of missense CHEK2 variants of uncertain significance (VUS) have been identified, hampering the clinical utility of germline genetic testing (GGT). EXPERIMENTAL DESIGN We collected 460 CHEK2 missense VUS identified by the ENIGMA consortium in 15 countries. Their functional characterization was performed using CHEK2-complementation assays quantifying KAP1 phosphorylation and CHK2 autophosphorylation in human RPE1-CHEK2-knockout cells. Concordant results in both functional assays were used to categorize CHEK2 VUS from 12 ENIGMA case-control datasets, including 73,048 female patients with breast cancer and 88,658 ethnicity-matched controls. RESULTS A total of 430/460 VUS were successfully analyzed, of which 340 (79.1%) were concordant in both functional assays and categorized as functionally impaired (N = 102), functionally intermediate (N = 12), or functionally wild-type (WT)-like (N = 226). We then examined their association with breast cancer risk in the case-control analysis. The OR and 95% CI (confidence intervals) for carriers of functionally impaired, intermediate, and WT-like variants were 2.83 (95% CI, 2.35-3.41), 1.57 (95% CI, 1.41-1.75), and 1.19 (95% CI, 1.08-1.31), respectively. The meta-analysis of population-specific datasets showed similar results. CONCLUSIONS We determined the functional consequences for the majority of CHEK2 missense VUS found in patients with breast cancer (3,660/4,436; 82.5%). Carriers of functionally impaired missense variants accounted for 0.5% of patients with breast cancer and were associated with a moderate risk similar to that of truncating CHEK2 variants. In contrast, 2.2% of all patients with breast cancer carried functionally wild-type/intermediate missense variants with no clinically relevant breast cancer risk in heterozygous carriers.
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Affiliation(s)
- Lenka Stolarova
- Laboratory of Cancer Cell Biology, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Petra Kleiblova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Petra Zemankova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Department of Pathophysiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Barbora Stastna
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Marketa Janatova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jana Soukupova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Maria Isabel Achatz
- A.C. Camargo Cancer Center and Oncology Center, Hospital Sirio-Libanes, Sao Paulo, Brazil
| | - Christine Ambrosone
- Department of Cancer Prevention & Control, Roswell Park Cancer Center, Buffalo, New York
- WCHS Inc., Baltimore, Maryland
| | - Paraskevi Apostolou
- Human Molecular Genetics Laboratory, INRaSTES, National Center for Scientific Research "Demokritos," Athens, Greece
| | - Banu K. Arun
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Paul Auer
- Division of Biostatistics, Institute for Health and Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, Wisconsin
- WHI, USA
| | - Mollie Barnard
- Slone Epidemiology Center, Boston University, Boston, Massachusetts
| | - Birgitte Bertelsen
- Center for Genomic Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Marinus J. Blok
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Nicholas Boddicker
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
- CARRIERS, USA
| | - Joan Brunet
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Elizabeth S. Burnside
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin
- WWHS, Charlotte, North Carolina
| | - Mariarosaria Calvello
- Division of Cancer Prevention and Genetics, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Ian Campbell
- Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Sock Hoai Chan
- Cancer Genetics Service, National Cancer Centre, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Fei Chen
- Keck School of Medicine, University of Southern California, Los Angeles, California
- MEC, USA
| | - Jian Bang Chiang
- Cancer Genetics Service, National Cancer Centre, Singapore, Singapore
| | - Anna Coppa
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Laura Cortesi
- Department of Oncology and Haematology, Modena University Hospital, Modena, Italy
| | - Ana Crujeiras-González
- Fundacion Publica Galega de Medicina Xenomica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Kim De Leeneer
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Robin De Putter
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Allison DePersia
- Center for Medical Genetics, NorthShore University Health System, Evanston, Illinois
| | - Lisa Devereux
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
- Lifepool, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Susan Domchek
- CARRIERS, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Anna Efremidis
- Clinical Cancer Genetics and Family Consultants, CLINICAGENE, Athens Medical Center, Athens, Greece
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Corinna Ernst
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - D. Gareth R. Evans
- Manchester Centre for Genomic Medicine, Division of Evolution and Genomic Sciences, University of Manchester, Manchester, United Kingdom
| | - Lidia Feliubadaló
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRaSTES, National Center for Scientific Research "Demokritos," Athens, Greece
| | - Olivia Fuentes-Ríos
- Fundacion Publica Galega de Medicina Xenomica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Encarna B. Gómez-García
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Sara González
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Christopher Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, California
- MEC, USA
| | - Thomas van Overeem Hansen
- Department of Clinical Genetics, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
| | - Jan Hauke
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - James Hodge
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
- CPS3, Kennesaw, Georgia
| | - Chunling Hu
- CARRIERS, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Hongyan Huang
- T.H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts
- NHS, Reston, Virginia
| | | | - Yusuke Iwasaki
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Irene Konstantopoulou
- Molecular Diagnostics Laboratory, INRaSTES, National Center for Scientific Research "Demokritos," Athens, Greece
| | - Peter Kraft
- T.H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts
- NHS, Reston, Virginia
| | - James Lacey
- Beckman Research Institute, City of Hope Cancer Center, Duarte, California
- CTS, USA
| | - Conxi Lázaro
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Na Li
- Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Sara Lindstrom
- WHI, USA
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Adriana Lori
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
- American Cancer Society, Atlanta, Georgia
| | - Elana Martinez
- Duke-NUS Medical School, Singapore, Singapore
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, California
| | - Alexandra Martins
- Inserm UMR1245, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, Normandie University, Rouen, France
| | - Koichi Matsuda
- Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, and Royal Melbourne Hospital, Melbourne, Australia
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Marco Montagna
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology, Padua, Italy
| | - Alvaro N.A. Monteiro
- Cancer Epidemiology Program, Division of Population Sciences, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Luigi Mori
- Endocrine and Metabolic Disease Unit, ASST Spedali Civili of Brescia, Brescia, Italia
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Katherine Nathanson
- CARRIERS, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Janet E. Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
- MCBCS, USA
| | - Julie Palmer
- Slone Epidemiology Center, Boston University, Boston, Massachusetts
| | - Barbara Pasini
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Alpa Patel
- Department of Population Science, American Cancer Society, Atlanta, Georgia
- CPS-II, USA
| | - Maria Piane
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Bruce Poppe
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Paolo Radice
- Department of Experimental Oncology, Molecular Bases of Genetic Risk and Genetic Testing Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Nicoletta Resta
- Department of Precision and Regenerative Medicine and Ionian Area, Medical Genetics Unit, University of Bari, Bari, Italy
| | | | - Toon Rosseel
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Kathryn J. Ruddy
- MCBCS, USA
- Department of Oncology, Mayo Clinic, Rochester, Minnesota
| | - Marta Santamariña
- Fundacion Publica Galega de Medicina Xenomica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Santiago de Compostela, Spain
| | | | - Lauren Teras
- Department of Population Science, American Cancer Society, Atlanta, Georgia
- CPS-II, USA
| | - Amanda E. Toland
- Department of Cancer Biology & Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Amy Trentham-Dietz
- WWHS, Charlotte, North Carolina
- University of Wisconsin, Madison, Wisconsin
| | | | - Alexander E. Volk
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nana Weber-Lassalle
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | | | - Lisa Wiesmuller
- Department of Obstetrics and Gynecology, Ulm University, Ulm, Germany
| | - Stacey Winham
- MMHS, USA
- Department Quantitative Sciences, Mayo Clinic, Rochester, Minnesota
| | - Siddhartha Yadav
- CARRIERS, USA
- Department of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRaSTES, National Center for Scientific Research "Demokritos," Athens, Greece
| | - Song Yao
- WCHS Inc., Baltimore, Maryland
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Valentina Zampiga
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori," Meldola, Italy
| | - Magnus Zethoven
- Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Ze Wen Zhang
- Cancer Genetics Service, National Cancer Centre, Singapore, Singapore
| | - Tomas Zima
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Amanda B. Spurdle
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ana Vega
- Fundacion Publica Galega de Medicina Xenomica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Santiago de Compostela, Spain
| | - Maria Rossing
- Center for Genomic Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jesús Del Valle
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Arcangela De Nicolo
- Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Kathleen B.M. Claes
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Joanne Ngeow
- Cancer Genetics Service, National Cancer Centre, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Paul A. James
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
- Inserm UMR1245, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, Normandie University, Rouen, France
| | - Fergus J. Couch
- CARRIERS, USA
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Libor Macurek
- Laboratory of Cancer Cell Biology, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Zdenek Kleibl
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Department of Pathophysiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
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13
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Fowler DM, Adams DJ, Gloyn AL, Hahn WC, Marks DS, Muffley LA, Neal JT, Roth FP, Rubin AF, Starita LM, Hurles ME. An Atlas of Variant Effects to understand the genome at nucleotide resolution. Genome Biol 2023; 24:147. [PMID: 37394429 PMCID: PMC10316620 DOI: 10.1186/s13059-023-02986-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 06/13/2023] [Indexed: 07/04/2023] Open
Abstract
Sequencing has revealed hundreds of millions of human genetic variants, and continued efforts will only add to this variant avalanche. Insufficient information exists to interpret the effects of most variants, limiting opportunities for precision medicine and comprehension of genome function. A solution lies in experimental assessment of the functional effect of variants, which can reveal their biological and clinical impact. However, variant effect assays have generally been undertaken reactively for individual variants only after and, in most cases long after, their first observation. Now, multiplexed assays of variant effect can characterise massive numbers of variants simultaneously, yielding variant effect maps that reveal the function of every possible single nucleotide change in a gene or regulatory element. Generating maps for every protein encoding gene and regulatory element in the human genome would create an 'Atlas' of variant effect maps and transform our understanding of genetics and usher in a new era of nucleotide-resolution functional knowledge of the genome. An Atlas would reveal the fundamental biology of the human genome, inform human evolution, empower the development and use of therapeutics and maximize the utility of genomics for diagnosing and treating disease. The Atlas of Variant Effects Alliance is an international collaborative group comprising hundreds of researchers, technologists and clinicians dedicated to realising an Atlas of Variant Effects to help deliver on the promise of genomics.
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Affiliation(s)
- Douglas M. Fowler
- Department of Genome Sciences, University of Washington, Seattle, WA USA
- Department of Bioengineering, University of Washington, Seattle, WA USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA USA
| | | | - Anna L. Gloyn
- Department of Pediatrics & Department of Genetics, Division of Endocrinology, Stanford School of Medicine, Stanford University, Stanford, CA USA
| | - William C. Hahn
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA USA
- Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Debora S. Marks
- Broad Institute of MIT and Harvard, Cambridge, MA USA
- Department of Systems Biology, Harvard Medical School, Cambridge, USA
| | - Lara A. Muffley
- Department of Genome Sciences, University of Washington, Seattle, WA USA
| | - James T. Neal
- Broad Institute of MIT and Harvard, Cambridge, MA USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease at Broad Institute, Cambridge, MA USA
| | - Frederick P. Roth
- Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto, Toronto, ON Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON Canada
| | - Alan F. Rubin
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC Australia
- Department of Medical Biology, University of Melbourne, Melbourne, VIC Australia
| | - Lea M. Starita
- Department of Genome Sciences, University of Washington, Seattle, WA USA
- Department of Bioengineering, University of Washington, Seattle, WA USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA USA
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14
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Kumpula TA, Koivuluoma S, Soikkonen L, Vorimo S, Moilanen J, Winqvist R, Mantere T, Kuismin O, Pylkäs K. Evaluating the role of CHEK2 p.(Asp438Tyr) allele in inherited breast cancer predisposition. Fam Cancer 2023; 22:291-294. [PMID: 36653541 PMCID: PMC10276058 DOI: 10.1007/s10689-023-00327-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/15/2023] [Indexed: 01/20/2023]
Abstract
CHEK2 is a well-established breast cancer susceptibility gene. The most frequent pathogenic CHEK2 variant is 1100delC, a loss-of-function mutation conferring 2-fold risk for breast cancer. This gene also harbors other rare variants encountered in the clinical gene panels for hereditary cancer. One of these is CHEK2 c.1312 G > T, p.(Asp438Tyr) in the kinase domain of the protein, but due to its rarity its clinical significance for breast cancer predisposition has remained unclear. Here, we tested the prevalence of CHEK2 p.(Asp438Tyr) allele showing enrichment in the Northern Finnish population, in a total of 2284 breast cancer patients from this geographical region. Genotyping was performed for DNA samples extracted from peripheral blood using high-resolution melt analysis. Fourteen CHEK2 p.(Asp438Tyr) carriers were identified (14/2284, 0.6%, P = 0.67): two in the cohort of breast cancer cases with the indication of inherited disease susceptibility (2/281, 0.7%, P = 1.00) and twelve in the breast cancer cohort unselected for the family history of disease and age at disease onset (12/2003, 0.6%, P = 0.66). This frequency did not differ from the frequency in the general population (10/1299, 0.8%). No CHEK2 p.(Asp438Tyr) homozygotes were identified. Our results indicate that CHEK2 p.(Asp438Tyr) carriers do not have an increased risk for breast cancer and the classification of the CHEK2 p.(Asp438Tyr) variant can be changed from the variant of uncertain significance (VUS) to likely benign for breast cancer.
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Affiliation(s)
- Timo A Kumpula
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, Oulu and NordLab Oulu, FI-90014 University of Oulu, Oulu, P.O. Box 5000, Finland
| | - Susanna Koivuluoma
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, Oulu and NordLab Oulu, FI-90014 University of Oulu, Oulu, P.O. Box 5000, Finland
| | - Leila Soikkonen
- Department of Clinical Genetics, Medical Research Center Oulu and PEDEGO Research Unit, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Sandra Vorimo
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, Oulu and NordLab Oulu, FI-90014 University of Oulu, Oulu, P.O. Box 5000, Finland
| | - Jukka Moilanen
- Department of Clinical Genetics, Medical Research Center Oulu and PEDEGO Research Unit, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, Oulu and NordLab Oulu, FI-90014 University of Oulu, Oulu, P.O. Box 5000, Finland
| | - Tuomo Mantere
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, Oulu and NordLab Oulu, FI-90014 University of Oulu, Oulu, P.O. Box 5000, Finland
| | - Outi Kuismin
- Department of Clinical Genetics, Medical Research Center Oulu and PEDEGO Research Unit, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, Oulu and NordLab Oulu, FI-90014 University of Oulu, Oulu, P.O. Box 5000, Finland.
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15
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Bucalo A, Conti G, Valentini V, Capalbo C, Bruselles A, Tartaglia M, Bonanni B, Calistri D, Coppa A, Cortesi L, Giannini G, Gismondi V, Manoukian S, Manzella L, Montagna M, Peterlongo P, Radice P, Russo A, Tibiletti MG, Turchetti D, Viel A, Zanna I, Palli D, Silvestri V, Ottini L. Male breast cancer risk associated with pathogenic variants in genes other than BRCA1/2: an Italian case-control study. Eur J Cancer 2023; 188:183-191. [PMID: 37262986 DOI: 10.1016/j.ejca.2023.04.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/24/2023] [Accepted: 04/26/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND Germline pathogenic variants (PVs) in BRCA1/2 genes are associated with breast cancer (BC) risk in both women and men. Multigene panel testing is being increasingly used for BC risk assessment, allowing the identification of PVs in genes other than BRCA1/2. While data on actionable PVs in other cancer susceptibility genes are now available in female BC, reliable data are still lacking in male BC (MBC). This study aimed to provide the patterns, prevalence and risk estimates associated with PVs in non-BRCA1/2 genes for MBC in order to improve BC prevention for male patients. METHODS We performed a large case-control study in the Italian population, including 767 BRCA1/2-negative MBCs and 1349 male controls, all screened using a custom 50 cancer gene panel. RESULTS PVs in genes other than BRCA1/2 were significantly more frequent in MBCs compared with controls (4.8% vs 1.8%, respectively) and associated with a threefold increased MBC risk (OR: 3.48, 95% CI: 1.88-6.44; p < 0.0001). PV carriers were more likely to have personal (p = 0.03) and family (p = 0.02) history of cancers, not limited to BC. PALB2 PVs were associated with a sevenfold increased MBC risk (OR: 7.28, 95% CI: 1.17-45.52; p = 0.034), and ATM PVs with a fivefold increased MBC risk (OR: 4.79, 95% CI: 1.12-20.56; p = 0.035). CONCLUSIONS This study highlights the role of PALB2 and ATM PVs in MBC susceptibility and provides risk estimates at population level. These data may help in the implementation of multigene panel testing in MBC patients and inform gender-specific BC risk management and decision making for patients and their families.
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Affiliation(s)
- Agostino Bucalo
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Giulia Conti
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Virginia Valentini
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Carlo Capalbo
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Alessandro Bruselles
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Marco Tartaglia
- Molecular Genetics and Functional Genomics Research Unit, Ospedale Pediatrico Bambino Gesù, IRCCS, Rome, Italy
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Daniele Calistri
- Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori"-IRST IRCCS, Meldola, Italy
| | - Anna Coppa
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Laura Cortesi
- Department of Oncology and Haematology, University of Modena and Reggio Emilia, Modena, Italy
| | - Giuseppe Giannini
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy; Istituto Pasteur-Fondazione Cenci Bolognetti, Rome, Italy
| | - Viviana Gismondi
- Hereditary Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Siranoush Manoukian
- Unità di Genetica Medica, Dipartimento di Oncologia Medica ed Ematologia, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Livia Manzella
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Marco Montagna
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Paolo Peterlongo
- Genome Diagnostics Program, IFOM ETS - The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale Dei Tumori (INT), Milan, Italy
| | - Antonio Russo
- Section of Medical Oncology, Department of Surgical and Oncological Sciences, University of Palermo, Palermo, Italy
| | - Maria Grazia Tibiletti
- Dipartimento di Patologia, ASST Settelaghi and Centro di Ricerca per lo studio dei tumori eredo-familiari, Università dell'Insubria, Varese, Italy
| | - Daniela Turchetti
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Alessandra Viel
- Unità di Oncogenetica e Oncogenomica Funzionale, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
| | - Ines Zanna
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Domenico Palli
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | | | - Laura Ottini
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
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16
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Hartkopf AD, Fehm TN, Welslau M, Müller V, Schütz F, Fasching PA, Janni W, Witzel I, Thomssen C, Beierlein M, Belleville E, Untch M, Thill M, Tesch H, Ditsch N, Lux MP, Aktas B, Banys-Paluchowski M, Kolberg-Liedtke C, Wöckel A, Kolberg HC, Harbeck N, Stickeler E, Bartsch R, Schneeweiss A, Ettl J, Würstlein R, Krug D, Taran FA, Lüftner D. Update Breast Cancer 2023 Part 1 - Early Stage Breast Cancer. Geburtshilfe Frauenheilkd 2023; 83:653-663. [PMID: 37916183 PMCID: PMC10617391 DOI: 10.1055/a-2074-0551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 11/03/2023] Open
Abstract
With abemaciclib (monarchE study) and olaparib (OlympiA study) gaining approval in the adjuvant treatment setting, a significant change in the standard of care for patients with early stage breast cancer has been established for some time now. Accordingly, some diverse developments are slowly being transferred from the metastatic to the adjuvant treatment setting. Recently, there have also been positive reports of the NATALEE study. Other clinical studies are currently investigating substances that are already established in the metastatic setting. These include, for example, the DESTINY Breast05 study with trastuzumab deruxtecan and the SASCIA study with sacituzumab govitecan. In this review paper, we summarize and place in context the latest developments over the past months.
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Affiliation(s)
- Andreas D. Hartkopf
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany
| | - Tanja N. Fehm
- Department of Gynecology and Obstetrics, University Hospital Düsseldorf, Düsseldorf, Germany
| | | | - Volkmar Müller
- Department of Gynecology, Hamburg-Eppendorf University Medical Center, Hamburg, Germany
| | - Florian Schütz
- Gynäkologie und Geburtshilfe, Diakonissen-Stiftungs-Krankenhaus Speyer, Speyer, Germany
| | - Peter A. Fasching
- Erlangen University Hospital, Department of Gynecology and Obstetrics; Comprehensive Cancer Center Erlangen EMN, Friedrich-Alexander University Erlangen-Nuremberg,
Erlangen, Germany
| | - Wolfgang Janni
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany
| | - Isabell Witzel
- Klinik für Gynäkologie, Universitätsspital Zürich, Zürich, Switzerland
| | - Christoph Thomssen
- Department of Gynaecology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Milena Beierlein
- Erlangen University Hospital, Department of Gynecology and Obstetrics; Comprehensive Cancer Center Erlangen EMN, Friedrich-Alexander University Erlangen-Nuremberg,
Erlangen, Germany
| | | | - Michael Untch
- Clinic for Gynecology and Obstetrics, Breast Cancer Center, Gynecologic Oncology Center, Helios Klinikum Berlin Buch, Berlin, Germany
| | - Marc Thill
- Department of Gynecology and Gynecological Oncology, Agaplesion Markus Krankenhaus, Frankfurt am Main, Germany
| | - Hans Tesch
- Oncology Practice at Bethanien Hospital, Frankfurt am Main, Germany
| | - Nina Ditsch
- Department of Gynecology and Obstetrics, University Hospital Augsburg, Augsburg, Germany
| | - Michael P. Lux
- Klinik für Gynäkologie und Geburtshilfe, Frauenklinik St. Louise, Paderborn, St. Josefs-Krankenhaus, Salzkotten, St. Vincenz Krankenhaus GmbH, Paderborn, Germany
| | - Bahriye Aktas
- Department of Gynecology, University of Leipzig Medical Center, Leipzig, Germany
| | - Maggie Banys-Paluchowski
- Department of Gynecology and Obstetrics, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | | | - Achim Wöckel
- Department of Gynecology and Obstetrics, University Hospital Würzburg, Würzburg, Germany
| | | | - Nadia Harbeck
- Breast Center, Department of Gynecology and Obstetrics and CCC Munich LMU, LMU University Hospital, München, Germany
| | - Elmar Stickeler
- Department of Obstetrics and Gynecology, Center for Integrated Oncology (CIO Aachen, Bonn, Cologne, Düsseldorf), University Hospital of RWTH Aachen, Aachen, Germany
| | - Rupert Bartsch
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
| | - Andreas Schneeweiss
- National Center for Tumor Diseases, University Hospital and German Cancer Research Center, Heidelberg, Germany
| | - Johannes Ettl
- Klinik für Frauenheilkunde und Gynäkologie, Klinikum Kempten, Klinikverbund Allgäu, Kempten, Germany
| | - Rachel Würstlein
- Breast Center, Department of Gynecology and Obstetrics and CCC Munich LMU, LMU University Hospital, München, Germany
| | - David Krug
- Klinik für Strahlentherapie, Universitätsklinkum Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Florin-Andrei Taran
- Department of Gynecology and Obstetrics, University Hospital Freiburg, Freiburg, Germany
| | - Diana Lüftner
- Medical University of Brandenburg Theodor-Fontane, Immanuel Hospital Märkische Schweiz, Buckow, Germany
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17
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Yadav S, Boddicker NJ, Na J, Polley EC, Hu C, Hart SN, Gnanaolivu RD, Larson N, Holtegaard S, Huang H, Dunn CA, Teras LR, Patel AV, Lacey JV, Neuhausen SL, Martinez E, Haiman C, Chen F, Ruddy KJ, Olson JE, John EM, Kurian AW, Sandler DP, O'Brien KM, Taylor JA, Weinberg CR, Anton-Culver H, Ziogas A, Zirpoli G, Goldgar DE, Palmer JR, Domchek SM, Weitzel JN, Nathanson KL, Kraft P, Couch FJ. Contralateral Breast Cancer Risk Among Carriers of Germline Pathogenic Variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2. J Clin Oncol 2023; 41:1703-1713. [PMID: 36623243 PMCID: PMC10022863 DOI: 10.1200/jco.22.01239] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 10/03/2022] [Accepted: 11/21/2022] [Indexed: 01/11/2023] Open
Abstract
PURPOSE To estimate the risk of contralateral breast cancer (CBC) among women with germline pathogenic variants (PVs) in ATM, BRCA1, BRCA2, CHEK2, and PALB2. METHODS The study population included 15,104 prospectively followed women within the CARRIERS study treated with ipsilateral surgery for invasive breast cancer. The risk of CBC was estimated for PV carriers in each gene compared with women without PVs in a multivariate proportional hazard regression analysis accounting for the competing risk of death and adjusting for patient and tumor characteristics. The primary analyses focused on the overall cohort and on women from the general population. Secondary analyses examined associations by race/ethnicity, age at primary breast cancer diagnosis, menopausal status, and tumor estrogen receptor (ER) status. RESULTS Germline BRCA1, BRCA2, and CHEK2 PV carriers with breast cancer were at significantly elevated risk (hazard ratio > 1.9) of CBC, whereas only the PALB2 PV carriers with ER-negative breast cancer had elevated risks (hazard ratio, 2.9). By contrast, ATM PV carriers did not have significantly increased CBC risks. African American PV carriers had similarly elevated risks of CBC as non-Hispanic White PV carriers. Among premenopausal women, the 10-year cumulative incidence of CBC was estimated to be 33% for BRCA1, 27% for BRCA2, and 13% for CHEK2 PV carriers with breast cancer and 35% for PALB2 PV carriers with ER-negative breast cancer. The 10-year cumulative incidence of CBC among postmenopausal PV carriers was 12% for BRCA1, 9% for BRCA2, and 4% for CHEK2. CONCLUSION Women diagnosed with breast cancer and known to carry germline PVs in BRCA1, BRCA2, CHEK2, or PALB2 are at substantially increased risk of CBC and may benefit from enhanced surveillance and risk reduction strategies.
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Affiliation(s)
| | | | - Jie Na
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Eric C. Polley
- Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Chunling Hu
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Steven N. Hart
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | | | - Nicole Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Susan Holtegaard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Huaizhi Huang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN
| | - Carolyn A. Dunn
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Lauren R. Teras
- Department of Population Science, American Cancer Society, Atlanta, GA
| | - Alpa V. Patel
- Department of Population Science, American Cancer Society, Atlanta, GA
| | | | | | - Elena Martinez
- Department of Family Medicine and Public Health, University of California, San Diego, CA
| | - Christopher Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Fei Chen
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Janet E. Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Esther M. John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA
- Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Allison W. Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA
- Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Dale P. Sandler
- National Institute of Environmental Health Sciences, Durham, NC
| | | | - Jack A. Taylor
- National Institute of Environmental Health Sciences, Durham, NC
| | | | | | | | - Gary Zirpoli
- Slone Epidemiology Center at Boston University, Boston, MA
| | | | | | - Susan M. Domchek
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Basser Center for BRCA, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | | | - Katherine L. Nathanson
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Basser Center for BRCA, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Peter Kraft
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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18
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Jaskulski S, Nuszbaum C, Michels KB. Components, prospects and challenges of personalized prevention. Front Public Health 2023; 11:1075076. [PMID: 36875367 PMCID: PMC9978387 DOI: 10.3389/fpubh.2023.1075076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/09/2023] [Indexed: 02/18/2023] Open
Abstract
Effective preventive strategies are urgently needed to address the rising burden of non-communicable diseases such as cardiovascular disease and cancer. To date, most prevention efforts to reduce disease incidence have primarily targeted populations using "one size fits all" public health recommendations and strategies. However, the risk for complex heterogeneous diseases is based on a multitude of clinical, genetic, and environmental factors, which translate into individual sets of component causes for every person. Recent advances in genetics and multi-omics enable the use of new technologies to stratify disease risks at an individual level fostering personalized prevention. In this article, we review the main components of personalized prevention, provide examples, and discuss both emerging opportunities and remaining challenges for its implementation. We encourage physicians, health policy makers, and public health professionals to consider and apply the key elements and examples of personalized prevention laid out in this article while overcoming challenges and potential barriers to their implementation.
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Affiliation(s)
- Stefanie Jaskulski
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.,Competence Network Preventive Medicine Baden-Württemberg, Competence Area of Personalized Prevention, Freiburg, Germany
| | - Cosima Nuszbaum
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.,Competence Network Preventive Medicine Baden-Württemberg, Competence Area of Personalized Prevention, Freiburg, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.,Competence Network Preventive Medicine Baden-Württemberg, Competence Area of Personalized Prevention, Freiburg, Germany.,Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States
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19
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Lee A, Mavaddat N, Cunningham A, Carver T, Ficorella L, Archer S, Walter FM, Tischkowitz M, Roberts J, Usher-Smith J, Simard J, Schmidt MK, Devilee P, Zadnik V, Jürgens H, Mouret-Fourme E, De Pauw A, Rookus M, Mooij TM, Pharoah PP, Easton DF, Antoniou AC. Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence. J Med Genet 2022; 59:1206-1218. [PMID: 36162851 PMCID: PMC9691826 DOI: 10.1136/jmedgenet-2022-108471] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 04/23/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) for breast cancer and the epithelial tubo-ovarian cancer (EOC) models included in the CanRisk tool (www.canrisk.org) provide future cancer risks based on pathogenic variants in cancer-susceptibility genes, polygenic risk scores, breast density, questionnaire-based risk factors and family history. Here, we extend the models to include the effects of pathogenic variants in recently established breast cancer and EOC susceptibility genes, up-to-date age-specific pathology distributions and continuous risk factors. METHODS BOADICEA was extended to further incorporate the associations of pathogenic variants in BARD1, RAD51C and RAD51D with breast cancer risk. The EOC model was extended to include the association of PALB2 pathogenic variants with EOC risk. Age-specific distributions of oestrogen-receptor-negative and triple-negative breast cancer status for pathogenic variant carriers in these genes and CHEK2 and ATM were also incorporated. A novel method to include continuous risk factors was developed, exemplified by including adult height as continuous. RESULTS BARD1, RAD51C and RAD51D explain 0.31% of the breast cancer polygenic variance. When incorporated into the multifactorial model, 34%-44% of these carriers would be reclassified to the near-population and 15%-22% to the high-risk categories based on the UK National Institute for Health and Care Excellence guidelines. Under the EOC multifactorial model, 62%, 35% and 3% of PALB2 carriers have lifetime EOC risks of <5%, 5%-10% and >10%, respectively. Including height as continuous, increased the breast cancer relative risk variance from 0.002 to 0.010. CONCLUSIONS These extensions will allow for better personalised risks for BARD1, RAD51C, RAD51D and PALB2 pathogenic variant carriers and more informed choices on screening, prevention, risk factor modification or other risk-reducing options.
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Affiliation(s)
- Andrew Lee
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Nasim Mavaddat
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Alex Cunningham
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Tim Carver
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Lorenzo Ficorella
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Stephanie Archer
- Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Fiona M Walter
- Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Marc Tischkowitz
- Department of Medical Genetics and National Institute for Health Research, Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Jonathan Roberts
- Department of Medical Genetics and National Institute for Health Research, Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Juliet Usher-Smith
- Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jacques Simard
- Centre Hospitalier Universitaire de Québec-Université Laval Research Center, Université Laval, Quebec, Quebec, Canada
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Peter Devilee
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Vesna Zadnik
- Epidemiology and Cancer Registry, Institute of Oncology, Ljubljana, Slovenia
| | - Hannes Jürgens
- Clinic of Hematology and Oncology, Tartu University Hospital, Tartu, Estonia
| | | | | | - Matti Rookus
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Thea M Mooij
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Paul Pd Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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20
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Khandakji MN, Mifsud B. Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants. Front Genet 2022; 13:982930. [PMID: 36246618 PMCID: PMC9561395 DOI: 10.3389/fgene.2022.982930] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/12/2022] [Indexed: 11/18/2022] Open
Abstract
Background: Existing BRCA2-specific variant pathogenicity prediction algorithms focus on the prediction of the functional impact of a subtype of variants alone. General variant effect predictors are applicable to all subtypes, but are trained on putative benign and pathogenic variants and do not account for gene-specific information, such as hotspots of pathogenic variants. Local, gene-specific information have been shown to aid variant pathogenicity prediction; therefore, our aim was to develop a BRCA2-specific machine learning model to predict pathogenicity of all types of BRCA2 variants. Methods: We developed an XGBoost-based machine learning model to predict pathogenicity of BRCA2 variants. The model utilizes general variant information such as position, frequency, and consequence for the canonical BRCA2 transcript, as well as deleteriousness prediction scores from several tools. We trained the model on 80% of the expert reviewed variants by the Evidence-Based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium and tested its performance on the remaining 20%, as well as on an independent set of variants of uncertain significance with experimentally determined functional scores. Results: The novel gene-specific model predicted the pathogenicity of ENIGMA BRCA2 variants with an accuracy of 99.9%. The model also performed excellently on predicting the functional consequence of the independent set of variants (accuracy was up to 91.3%). Conclusion: This new, gene-specific model is an accurate method for interpreting the pathogenicity of variants in the BRCA2 gene. It is a valuable addition for variant classification and can prioritize unreviewed variants for functional analysis or expert review.
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Affiliation(s)
- Mohannad N. Khandakji
- College of Health and Life Sciences, Hamad Bin Khalifa University, Ar-Rayyan, Qatar
- Hamad Medical Corporation, Doha, Qatar
| | - Borbala Mifsud
- College of Health and Life Sciences, Hamad Bin Khalifa University, Ar-Rayyan, Qatar
- William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
- *Correspondence: Borbala Mifsud,
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