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Pal M, Das D, Pandey M. Understanding genetic variations associated with familial breast cancer. World J Surg Oncol 2024; 22:271. [PMID: 39390525 PMCID: PMC11465949 DOI: 10.1186/s12957-024-03553-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 10/02/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND Breast cancer is the most frequent cancer among women. Genetics are the main risk factor for breast cancer. Statistics show that 15-25% of breast cancers are inherited among those with cancer-prone relatives. BRCA1, BRCA2, TP53, CDH1, PTEN, and STK11 are the most frequent genes for familial breast cancer, which occurs 80% of the time. In rare situations, moderate-penetrance gene mutations such CHEK2, BRIP1, ATM, and PALB2 contribute 2-3%. METHODS A search of the PubMed database was carried out spanning from 2005 to July 2024, yielding a total of 768 articles that delve into the realm of familial breast cancer, concerning genes and genetic syndromes. After exclusion 150 articles were included in the final review. RESULTS We report on a set of 20 familial breast cancer -associated genes into high, moderate, and low penetrance levels. Additionally, 10 genetic disorders were found to be linked with familial breast cancer. CONCLUSION Familial breast cancer has been linked to several genetic diseases and mutations, according to studies. Screening for genetic disorders is recommended by National Comprehensive Cancer Network recommendations. Evaluation of breast cancer candidate variations and risk loci may improve individual risk assessment. Only high- and moderate-risk gene variations have clinical guidelines, whereas low-risk gene variants require additional investigation. With increasing use of NGS technology, more linkage with rare genes is being discovered.
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Affiliation(s)
- Manjusha Pal
- Department of Surgical Oncology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India
| | - Doutrina Das
- Department of Surgical Oncology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India
| | - Manoj Pandey
- Department of Surgical Oncology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
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Rowlands CF, Allen S, Balmaña J, Domchek SM, Evans DG, Hanson H, Hoogerbrugge N, James PA, Nathanson KL, Robson M, Tischkowitz M, Foulkes WD, Turnbull C. Population-based germline breast cancer gene association studies and meta-analysis to inform wider mainstream testing. Ann Oncol 2024; 35:892-901. [PMID: 38986768 DOI: 10.1016/j.annonc.2024.07.244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/20/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND Germline genetic testing, previously restricted to familial and young-onset breast cancer, is now offered increasingly broadly to patients with 'population-type' breast cancer in mainstream oncology clinics, with wide variation in the genes included. PATIENTS AND METHODS Weighted meta-analysis was carried out for three population-based case-control studies (BRIDGES, CARRIERS and UK Biobank) comprising in total 101 397 women with breast cancer and 312 944 women without breast cancer, to quantify 37 putative breast cancer susceptibility genes (BCSGs) for the frequency of pathogenic variants (PVs) in unselected, 'population-type' breast cancer cases and their association with breast cancer and its subtypes. RESULTS Meta-analysed odds ratios (ORs) and frequencies of PVs in 'population-type' breast cancer cases were generated for BRCA1 (OR 8.73, 95% confidence interval (CI) 7.47-10.20; 1 in 101), BRCA2 (OR 5.68, 95% CI 5.13-6.30; 1 in 68) and PALB2 (OR 4.30, 95% CI 3.68-5.03; 1 in 187). For both CHEK2 (OR 2.40, 95% CI 2.21-2.62; 1 in 73) and ATM (OR 2.16, 95% CI 1.93-2.41; 1 in 132) subgroup analysis showed a stronger association with oestrogen receptor-positive disease. The magnitude of association and frequency of PVs were low for RAD51C (OR 1.53, 95% CI 1.29-2.04; 1 in 913), RAD51D (OR 1.76, 95% CI 1.29-2.41; 1 in 1079) and BARD1 (OR 2.34, 95% CI 1.85-2.97; 1 in 672); frequencies and associations were higher when the analysis was restricted to triple-negative breast cancers. The PV frequency in 'population-type' breast cancer cases was very low for 'syndromic' BCSGs TP53 (1 in 1844), STK11 (1 in 11 525), CDH1 (1 in 2668), PTEN (1 in 3755) and NF1 (1 in 1470), with metrics of association also modest ranging from OR 3.62 (95% CI 1.98-6.61) for TP53 down to OR 1.60 (95% CI 0.48-5.30) for STK11. CONCLUSIONS These metrics reflecting 'population-type' breast cancer will be informative in defining the appropriate gene set as we continue to expand to germline testing to an increasingly unselected group of breast cancer cases.
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Affiliation(s)
- C F Rowlands
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - S Allen
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - J Balmaña
- Hereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona; Medical Oncology Department, Hospital Universitari Vall d'Hebron, Vall d'Hebron Hospital Campus, Barcelona, Spain
| | - S M Domchek
- Basser Center for BRCA, Abramson Cancer Center, University of Pennsylvania, Philadelphia, USA
| | - D G Evans
- Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester
| | - H Hanson
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter; Peninsula Regional Genetics Service, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - N Hoogerbrugge
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - P A James
- Parkville Familial Cancer Centre, The Royal Melbourne Hospital and Peter MacCallum Cancer Centre, Melbourne, Australia
| | - K L Nathanson
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Abramson Cancer Center, Perelman School of Medicine, Philadelphia
| | - M Robson
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York; Weill Cornell Medical College, New York, USA
| | - M Tischkowitz
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - W D Foulkes
- Department of Human Genetics, McGill University, Montréal, Canada; Department of Oncology, McGill University, Montréal, Canada; Department of Medicine, McGill University, Montréal, Canada
| | - C Turnbull
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
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3
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Mathur A, Arya N, Pasupa K, Saha S, Roy Dey S, Saha S. Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward. Brief Funct Genomics 2024; 23:561-569. [PMID: 38688724 DOI: 10.1093/bfgp/elae015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 03/01/2024] [Accepted: 04/09/2024] [Indexed: 05/02/2024] Open
Abstract
We present a survey of the current state-of-the-art in breast cancer detection and prognosis. We analyze the evolution of Artificial Intelligence-based approaches from using just uni-modal information to multi-modality for detection and how such paradigm shift facilitates the efficacy of detection, consistent with clinical observations. We conclude that interpretable AI-based predictions and ability to handle class imbalance should be considered priority.
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Affiliation(s)
- Archana Mathur
- Department of Information Science and Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, 560064, Karnataka, India
| | - Nikhilanand Arya
- School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneshwar, 751024, Odisha, India
| | - Kitsuchart Pasupa
- School of Information Technology, King Mongkut's Institute of Technology Ladkrabang, 1 Soi Chalongkrung 1, 10520, Bangkok, Thailand
| | - Sriparna Saha
- Computer Science and Engineering, Indian Institute of Technology Patna, Bihta, 801106, Bihar, India
| | - Sudeepa Roy Dey
- Department of Computer Science and Engineering, PES University, Hosur Road, 560100, Karnataka, India
| | - Snehanshu Saha
- CSIS and APPCAIR, BITS Pilani K.K Birla Goa Campus, Goa, 403726, Goa, India
- Div of AI Research, HappyMonk AI, Bangalore, 560078, Karnataka, India
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4
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Ultimescu F, Hudita A, Popa DE, Olinca M, Muresean HA, Ceausu M, Stanciu DI, Ginghina O, Galateanu B. Impact of Molecular Profiling on Therapy Management in Breast Cancer. J Clin Med 2024; 13:4995. [PMID: 39274207 PMCID: PMC11396537 DOI: 10.3390/jcm13174995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 08/14/2024] [Accepted: 08/20/2024] [Indexed: 09/16/2024] Open
Abstract
Breast cancer (BC) remains the most prevalent cancer among women and the leading cause of cancer-related mortality worldwide. The heterogeneity of BC in terms of histopathological features, genetic polymorphisms, and response to therapies necessitates a personalized approach to treatment. This review focuses on the impact of molecular profiling on therapy management in breast cancer, emphasizing recent advancements in next-generation sequencing (NGS) and liquid biopsies. These technologies enable the identification of specific molecular subtypes and the detection of blood-based biomarkers such as circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and tumor-educated platelets (TEPs). The integration of molecular profiling with traditional clinical and pathological data allows for more tailored and effective treatment strategies, improving patient outcomes. This review also discusses the current challenges and prospects of implementing personalized cancer therapy, highlighting the potential of molecular profiling to revolutionize BC management through more precise prognostic and therapeutic interventions.
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Affiliation(s)
- Flavia Ultimescu
- OncoTeam Diagnostic S.A., 010719 Bucharest, Romania
- Doctoral School of Medicine, "Carol Davila" University of Medicine and Pharmacy Bucharest, 050474 Bucharest, Romania
| | - Ariana Hudita
- Faculty of Biology, University of Bucharest, 050095 Bucharest, Romania
- Research Institute of the University of Bucharest, University of Bucharest, 050663 Bucharest, Romania
| | - Daniela Elena Popa
- Faculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy Bucharest, 020956 Bucharest, Romania
| | - Maria Olinca
- OncoTeam Diagnostic S.A., 010719 Bucharest, Romania
- Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy Bucharest, 050474 Bucharest, Romania
| | | | - Mihail Ceausu
- Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy Bucharest, 050474 Bucharest, Romania
| | | | - Octav Ginghina
- Faculty of Dental Medicine, "Carol Davila" University of Medicine and Pharmacy Bucharest, 010221 Bucharest, Romania
- Department of Surgery 3, "Prof. Dr. Al. Trestioreanu" Institute of Oncology Bucharest, 022328 Bucharest, Romania
| | - Bianca Galateanu
- Faculty of Biology, University of Bucharest, 050095 Bucharest, Romania
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5
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Sun X, Verma SP, Jia G, Wang X, Ping J, Guo X, Shu XO, Chen J, Derkach A, Cai Q, Liang X, Long J, Offit K, Hun Oh J, Reiner AS, Watt GP, Woods M, Yang Y, Ambrosone CB, Ambs S, Chen Y, Concannon P, Garcia-Closas M, Gu J, Haiman CA, Hu JJ, Huo D, John EM, Knight JA, Li CI, Lynch CF, Mellemkjær L, Nathanson KL, Nemesure B, Olopade OI, Olshan AF, Pal T, Palmer JR, Press MF, Sanderson M, Sandler DP, Troester MA, Zheng W, Bernstein JL, Buas MF, Shu X. Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast Cancer. Cancer Res 2024; 84:2533-2548. [PMID: 38832928 PMCID: PMC11293972 DOI: 10.1158/0008-5472.can-23-3854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/15/2024] [Accepted: 05/31/2024] [Indexed: 06/06/2024]
Abstract
Breast cancer includes several subtypes with distinct characteristic biological, pathologic, and clinical features. Elucidating subtype-specific genetic etiology could provide insights into the heterogeneity of breast cancer to facilitate the development of improved prevention and treatment approaches. In this study, we conducted pairwise case-case comparisons among five breast cancer subtypes by applying a case-case genome-wide association study (CC-GWAS) approach to summary statistics data of the Breast Cancer Association Consortium. The approach identified 13 statistically significant loci and eight suggestive loci, the majority of which were identified from comparisons between triple-negative breast cancer (TNBC) and luminal A breast cancer. Associations of lead variants in 12 loci remained statistically significant after accounting for previously reported breast cancer susceptibility variants, among which, two were genome-wide significant. Fine mapping implicated putative functional/causal variants and risk genes at several loci, e.g., 3q26.31/TNFSF10, 8q22.3/NACAP1/GRHL2, and 8q23.3/LINC00536/TRPS1, for TNBC as compared with luminal cancer. Functional investigation further identified rs16867605 at 8q22.3 as a SNP that modulates the enhancer activity of GRHL2. Subtype-informative polygenic risk scores (PRS) were derived, and patients with a high subtype-informative PRS had an up to two-fold increased risk of being diagnosed with TNBC instead of luminal cancers. The CC-GWAS PRS remained statistically significant after adjusting for TNBC PRS derived from traditional case-control GWAS in The Cancer Genome Atlas and the African Ancestry Breast Cancer Genetic Consortium. The CC-GWAS PRS was also associated with overall survival and disease-specific survival among patients with breast cancer. Overall, these findings have advanced our understanding of the genetic etiology of breast cancer subtypes, particularly for TNBC. Significance: The discovery of subtype-informative genetic risk variants for breast cancer advances our understanding of the etiologic heterogeneity of breast cancer, which could accelerate the identification of targets and personalized strategies for prevention and treatment.
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Affiliation(s)
- Xiaohui Sun
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Epidemiology, Zhejiang Chinese Medical University, Zhejiang, China
| | - Shiv Prakash Verma
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Guochong Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xinjun Wang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jie Ping
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jianhong Chen
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Andriy Derkach
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anne S. Reiner
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gordon P. Watt
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Meghan Woods
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- UVA Comprehensive Cancer Center, University of Virginia, Charlottesville, VA, USA
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yu Chen
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Patrick Concannon
- Genetics Institute and Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Montserrat Garcia-Closas
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jian Gu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jennifer J. Hu
- The University of Miami School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Esther M. John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Julia A. Knight
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I. Li
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Charles F. Lynch
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, USA
| | - Lene Mellemkjær
- Diet, Cancer and Health, Danish Cancer Institute, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Katherine L. Nathanson
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara Nemesure
- Stony Brook Medicine, Department of Family, Population, and Preventive Medicine, Stony Brook, NY, USA
| | | | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Tuya Pal
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Julie R. Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Michael F. Press
- Department of Pathology, Keck School of Medicine, USC/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, TN, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Melissa A. Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonine L. Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew F. Buas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xiang Shu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Barili V, Ambrosini E, Bortesi B, Minari R, De Sensi E, Cannizzaro IR, Taiani A, Michiara M, Sikokis A, Boggiani D, Tommasi C, Serra O, Bonatti F, Adorni A, Luberto A, Caggiati P, Martorana D, Uliana V, Percesepe A, Musolino A, Pellegrino B. Genetic Basis of Breast and Ovarian Cancer: Approaches and Lessons Learnt from Three Decades of Inherited Predisposition Testing. Genes (Basel) 2024; 15:219. [PMID: 38397209 PMCID: PMC10888198 DOI: 10.3390/genes15020219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
Germline variants occurring in BRCA1 and BRCA2 give rise to hereditary breast and ovarian cancer (HBOC) syndrome, predisposing to breast, ovarian, fallopian tube, and peritoneal cancers marked by elevated incidences of genomic aberrations that correspond to poor prognoses. These genes are in fact involved in genetic integrity, particularly in the process of homologous recombination (HR) DNA repair, a high-fidelity repair system for mending DNA double-strand breaks. In addition to its implication in HBOC pathogenesis, the impairment of HR has become a prime target for therapeutic intervention utilizing poly (ADP-ribose) polymerase (PARP) inhibitors. In the present review, we introduce the molecular roles of HR orchestrated by BRCA1 and BRCA2 within the framework of sensitivity to PARP inhibitors. We examine the genetic architecture underneath breast and ovarian cancer ranging from high- and mid- to low-penetrant predisposing genes and taking into account both germline and somatic variations. Finally, we consider higher levels of complexity of the genomic landscape such as polygenic risk scores and other approaches aiming to optimize therapeutic and preventive strategies for breast and ovarian cancer.
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Affiliation(s)
- Valeria Barili
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
| | - Enrico Ambrosini
- Medical Genetics, University Hospital of Parma, 43126 Parma, Italy
| | - Beatrice Bortesi
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Roberta Minari
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Erika De Sensi
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
| | | | - Antonietta Taiani
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
| | - Maria Michiara
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Angelica Sikokis
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Daniela Boggiani
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Chiara Tommasi
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Olga Serra
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Francesco Bonatti
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Alessia Adorni
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Anita Luberto
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
| | | | - Davide Martorana
- Medical Genetics, University Hospital of Parma, 43126 Parma, Italy
| | - Vera Uliana
- Medical Genetics, University Hospital of Parma, 43126 Parma, Italy
| | - Antonio Percesepe
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
- Medical Genetics, University Hospital of Parma, 43126 Parma, Italy
| | - Antonino Musolino
- Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
| | - Benedetta Pellegrino
- Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy
- Breast Unit, University Hospital of Parma, 43126 Parma, Italy
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7
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Yang X, Ren S, Yang J, Pan Y, Zhou Z, Chen Q, Fang Y, Shang L, Zhang F, Zhang X, Wu Y. Rare variants in FANCJ induce premature ovarian insufficiency in humans and mice. J Genet Genomics 2024; 51:252-255. [PMID: 37062450 DOI: 10.1016/j.jgg.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/20/2023] [Accepted: 03/29/2023] [Indexed: 04/18/2023]
Affiliation(s)
- Xi Yang
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Human Phenome Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200438, China
| | - Shuting Ren
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Human Phenome Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200438, China
| | - Jialin Yang
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Human Phenome Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200438, China
| | - Yuncheng Pan
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Human Phenome Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200438, China
| | - Zixue Zhou
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Human Phenome Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200438, China
| | - Qing Chen
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Human Phenome Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200438, China
| | - Yunzheng Fang
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Human Phenome Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200438, China
| | - Lingyue Shang
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Human Phenome Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200438, China
| | - Feng Zhang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, State Key Laboratory of Genetic Engineering at School of Life Sciences, Fudan University, Shanghai 200011, China; Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai 201203, China.
| | - Xiaojin Zhang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200011, China.
| | - Yanhua Wu
- State Key Laboratory of Genetic Engineering at School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200438, China; National Demonstration Center for Experimental Biology Education, School of Life Sciences, Fudan University, Shanghai 200433, China.
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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] [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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Ma Z, Xu M, Zhang J, Li J, Fang F. Establishment of Prognostic Nomogram for Male Breast Cancer Patients: A Surveillance, Epidemiology and End Results Database Analysis. Cancer Control 2024; 31:10732748241270628. [PMID: 39116271 PMCID: PMC11311147 DOI: 10.1177/10732748241270628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 06/06/2024] [Accepted: 06/13/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Male breast cancer (MBC) represents a rare subtype of breast cancer, with limited prognostic factor studies available. The purpose of this research was to develop a unique nomogram for predicting MBC patient overall survival (OS) and breast cancer-specific survival (BCSS). METHODS From 2010 to 2020, clinical characteristics of male breast cancer patients were obtained from the Surveillance, Epidemiology and End Results (SEER) database. Following univariate and multivariate analyses, nomograms for OS and BCSS were created. Kaplan-Meier plots were further generated to illustrate the relationship between independent risk variables and survival. The nomogram's ability to discriminate was measured by employing the area under a time-dependent receiver operating characteristic curve (AUC) and calibration curves. Additionally, when the nomogram was used to direct clinical practice, we also used decision curve analysis (DCA) to evaluate the clinical usefulness and net clinical benefits. RESULTS A total of 2143 patients were included in this research. Univariate and multivariate analysis showed that age, grade, surgery, chemotherapy status, brain metastasis status, subtype, marital status, race, and AJCC-T, AJCC-N, and AJCC-M stages were significantly correlated with OS. Lung metastasis, age, marital status, grade, surgery, and AJCC-T, AJCC-N, and AJCC-M stages were significantly correlated with BCSS. By comprising these variables, a predictive nomogram was constructed in the SEER cohort. Then, it could be validated well in the validation cohort by receiver operating characteristics (ROCs) curve and calibration plot. Furthermore, the nomogram demonstrated better decision curve analysis (DCA) results, indicating the ability to forecast survival probability with greater accuracy. CONCLUSION We created and validated a unique nomogram that can assist clinicians in identifying MBC patients at high risk and forecasting their OS/BCSS.
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Affiliation(s)
- Zhongjing Ma
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Mengyao Xu
- Department of Gastroenterology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Jingjiao Zhang
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Jia Li
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Fengqi Fang
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
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Zhu QY, Li PC, Zhu YF, Pan JN, Wang R, Li XL, Ye WW, Ding XW, Wang XJ, Cao WM. A comprehensive analysis of Fanconi anemia genes in Chinese patients with high-risk hereditary breast cancer. J Cancer Res Clin Oncol 2023; 149:14303-14313. [PMID: 37566130 PMCID: PMC10590287 DOI: 10.1007/s00432-023-05236-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 07/31/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND Four Fanconi anemia (FA) genes (BRCA1, BRCA2, PALB2 and RAD51C) are defined as breast cancer (BC) susceptibility genes. Other FA genes have been inconsistently associated with BC. Thus, the role of other FA genes in BC should be explored in specific populations. METHODS Mutations in 16 FA genes were screened with a 98-gene panel sequencing assay in a cohort of 1481 Chinese patients with high-risk hereditary BC. The association between mutations and clinicopathological characteristics as well as prognosis was analyzed. The risk of BC in carriers of FA gene mutations was assessed in the Genome Aggregation Database and the Westlake Biobank for Chinese cohort. RESULTS A total of 2.57% (38/1481) BC patients were identified who had 12 other FA gene germline mutations. Among them, the most frequently mutated gene was FANCA (8/1481, 0.54%). These 38 patients carried 35 distinct pathogenic/likely pathogenic variants, of which 21 were novel. We found one rare FANCB deleterious variant (c.1327-3dupT) in our cohort. There was a statistically significant difference in lymph node status between FA gene mutation carriers and non-carriers (p = 0.041). We observed a trend that mutation carriers had larger tumor sizes, lower estrogen receptor (ER) and progesterone receptor (PR) positivity rates, and lower 3.5-year invasive disease-free survival (iDFS) and distant recurrence-free survival (DRFS) rates than non-carriers (tumor size > 2 cm: 51.43% vs. 45.63%; ER positivity rates: 51.43% vs. 60.81%; PR positivity rates: 48.57% vs. 55.16%; 3.5-year iDFS rates: 58.8% vs. 66.7%; 3.5-year DRFS rates: 58.8% vs. 68.8%). The frequency of the mutations in FANCD2, FANCM and BRIP1 trended to be higher among BC cases than that in controls (p = 0.055, 0.08 and 0.08, respectively). CONCLUSION This study comprehensively estimated the prevalence, clinicopathological characteristics, prognosis and risk of BC associated with deleterious variants in FA genes in Chinese high-risk hereditary BC patients. It enriches our understanding of the role of FA genes with BC.
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Affiliation(s)
- Qiao-Yan Zhu
- Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China
- The Second Clinical Medical College of Zhejiang, Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Pu-Chun Li
- Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China
- Wenzhou Medical University, Wenzhou, 325035, China
| | - Yi-Fan Zhu
- Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China
- Wenzhou Medical University, Wenzhou, 325035, China
| | - Jia-Ni Pan
- Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China
- The Second Clinical Medical College of Zhejiang, Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Rong Wang
- Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China
| | - Xiao-Lin Li
- Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China
| | - Wei-Wu Ye
- Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China
| | - Xiao-Wen Ding
- Department of Tumor Surgery, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China
| | - Xiao-Jia Wang
- Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China
| | - Wen-Ming Cao
- Department of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, 310022, People's Republic of China.
- Wenzhou Medical University, Wenzhou, 325035, China.
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11
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Abdel-Razeq H, Mustafa R, Abdel-Razeq S, Abu-Fares H, Al Masri S, Damsees R, El-Atrash M, Elemian S, Alkyam M, Ammar K, Bater R, Kderat M, Alhajahjeh A. Pathogenic germline variants in patients with breast cancer: conversations across generations, practices and patients' attitude. Front Genet 2023; 14:1194075. [PMID: 37920853 PMCID: PMC10619647 DOI: 10.3389/fgene.2023.1194075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 10/05/2023] [Indexed: 11/04/2023] Open
Abstract
Background: Breast cancer susceptibility genes such as BRCA1, BRCA2, PALB2, CHEK2 and many others are increasingly recognized among our patient population. In addition to their impact on treatment decisions of tested patients themselves, identifying at-risk family members offer opportunities for cancer preventive measures. Methods: This is an observational cross-sectional study of adult breast cancer patients with positive breast-cancer-susceptibility germline variants who received treatment at our institution. Patients with variants of uncertain significance (VUS), or who refused to give consent, were excluded. The data was collected from an eligible sample of breast cancer patients using a structured questionnaire developed by the study team and tested for validity and reliability, as well as a clinical chart review form. Patients were invited to participate in the study during their scheduled oncology clinics visit. Results: 169 patients were enrolled, including 42 (24.9%) with pathogenic/likely pathogenic (P/LP) BRCA1 variants, 84 (49.7%) with BRCA2 and 43 (25.4%) with non-BRCA variants. All patients were female and the mean age was 45 ± 9.9 years. Among 140 eligible patients, 104 (74.3%) underwent prophylactic mastectomy, while 79 (59.0%) of 134 eligible patients had prophylactic bilateral salpingo-oophorectomy (BSO). Results were communicated with family members by majority (n = 160, 94.7%), including 642 first degree female relatives, and 286 (44.5%) of them have taken no action. Fear of positive test results, cost of testing, unwillingness to undergo preventive measures, and social stigma were cited as barriers to genetic testing in 54%, 50%, 34% and 15%, respectively. Conclusion: Risk-reducing interventions including mastectomy and BSO were carried by majority of patients with P/LP variants. However, though the rate of communication of genetic testing results with family members was high, proper preventive measures were relatively low. Cost and fear of cancer diagnosis, were the leading causes that prevented cascade testing in our cohort.
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Affiliation(s)
- Hikmat Abdel-Razeq
- King Hussein Cancer Center, Department of Internal Medicine, Amman, Jordan
- School of Medicine, The University of Jordan, Amman, Jordan
| | - Rawan Mustafa
- King Hussein Cancer Center, Department of Internal Medicine, Amman, Jordan
| | | | - Hala Abu-Fares
- King Hussein Cancer Center, Department of Internal Medicine, Amman, Jordan
| | - Sama Al Masri
- King Hussein Cancer Center, Department of Internal Medicine, Amman, Jordan
| | - Rana Damsees
- King Hussein Cancer Center, The Office of Scientific Affairs and Research, Amman, Jordan
| | - Mariam El-Atrash
- King Hussein Cancer Center, Department of Internal Medicine, Amman, Jordan
| | - Shatha Elemian
- King Hussein Cancer Center, Department of Internal Medicine, Amman, Jordan
| | - Mais Alkyam
- King Hussein Cancer Center, Department of Internal Medicine, Amman, Jordan
| | - Khawlah Ammar
- King Hussein Cancer Center, The Office of Scientific Affairs and Research, Amman, Jordan
| | - Rayan Bater
- King Hussein Cancer Center, Department of Internal Medicine, Amman, Jordan
| | - Marah Kderat
- King Hussein Cancer Center, The Office of Scientific Affairs and Research, Amman, Jordan
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12
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Abdel-Razeq H. Surgical options for patients with early-stage breast cancer and pathogenic germline variants: an oncologist perspectives. Front Oncol 2023; 13:1265197. [PMID: 37781190 PMCID: PMC10539549 DOI: 10.3389/fonc.2023.1265197] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 08/29/2023] [Indexed: 10/03/2023] Open
Abstract
Breast cancer continues to be the most common cancer diagnosed among women worldwide. Family history of breast cancer is frequently encountered, and 5-15% of patients may carry inherited pathogenic germline variants, identification of which can be helpful for both; patients themselves and their unaffected close relatives. The availability and affordability of molecular diagnostics, like next generation sequencing (NGS), had resulted in wider adoption of such technologies to detect pathogenic variants of cancer-predisposing genes. International guidelines had recently broadened the indications for germline genetic testing to include much more patients, and also expanded the testing to include multi-gene panels, while some professional societies are calling for universal testing of all newly diagnosed patients with breast cancer, regardless of their age, personal or family history. The risk of experiencing a contralateral breast cancer (CBC) or ipsilateral recurrence, is well known. Such risk is highest with variants like BRCA1 and BRCA2, but less well-studied with other less common variants. The optimal local therapy for women with BRCA-associated breast cancer remains controversial, but tends to be aggressive and may involve bilateral mastectomies, which may not have any survival advantage. Additionally, surgical management of unaffected women, known to carry a pathogenic cancer-predisposing gene, may vary from surveillance to bilateral mastectomies, too. The oncological safety, and the higher satisfaction of unaffected women and patients with new surgical techniques, like the skin-sparing (SSM) and nipple-sparing (NSM) mastectomies, eased up the process of counselling. In this review, we address the oncological safety of less aggressive surgical options for both; patients and unaffected carriers.
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Affiliation(s)
- Hikmat Abdel-Razeq
- Department of Internal Medicine, King Hussein Cancer Center, Amman, Jordan
- School of Medicine, The University of Jordan, Amman, Jordan
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13
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Abraham M, Lak MA, Gurz D, Nolasco FOM, Kondraju PK, Iqbal J. A Narrative Review of Breastfeeding and Its Correlation With Breast Cancer: Current Understanding and Outcomes. Cureus 2023; 15:e44081. [PMID: 37750138 PMCID: PMC10518059 DOI: 10.7759/cureus.44081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 08/24/2023] [Indexed: 09/27/2023] Open
Abstract
Breastfeeding has been extensively studied in relation to breast cancer risk. The results of the reviewed studies consistently show a decreased risk of breast cancer associated with breastfeeding, especially for 12 months or longer. This protective effect is attributed to hormonal, immunological, and physiological changes during lactation. Breastfeeding also appears to have a greater impact on reducing breast cancer risk in premenopausal women and specific breast cancer subtypes. Encouraging breastfeeding has dual benefits: benefiting infants and reducing breast cancer risk long-term. Healthcare professionals should provide evidence-based guidance on breastfeeding initiation, duration, and exclusivity, while public health policies should support breastfeeding by creating enabling environments. This review examines the existing literature and analyzes the correlation between breastfeeding and breast cancer risk.
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Affiliation(s)
- Merin Abraham
- Department of Internal Medicine, Kasturba Medical College, Manipal, IND
| | - Muhammad Ali Lak
- Department of Internal Medicine, Combined Military Hospital, Lahore, PAK
| | - Danyel Gurz
- Department of Internal Medicine, Combined Military Hospital, Lahore, PAK
| | | | | | - Javed Iqbal
- Department of Neurosurgery, Mayo Hospital, Lahore, PAK
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14
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Gliniewicz K, Kluźniak W, Wokołorczyk D, Huzarski T, Stempa K, Rudnicka H, Jakubowska A, Szwiec M, Jarkiewicz-Tretyn J, Naczk M, Kluz T, Dębniak T, Gronwald J, Lubiński J, Narod SA, Akbari MR, Cybulski C. The APOBEC3B c.783delG Truncating Mutation Is Not Associated with an Increased Risk of Breast Cancer in the Polish Population. Genes (Basel) 2023; 14:1329. [PMID: 37510234 PMCID: PMC10379723 DOI: 10.3390/genes14071329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/20/2023] [Accepted: 06/22/2023] [Indexed: 07/30/2023] Open
Abstract
The APOBEC3B gene belongs to a cluster of DNA-editing enzymes on chromosome 22 and encodes an activation-induced cytidine deaminase. A large deletion of APOBEC3B was associated with increased breast cancer risk, but the evidence is inconclusive. To investigate whether or not APOBEC3B is a breast cancer susceptibility gene, we sequenced this gene in 617 Polish patients with hereditary breast cancer. We detected a single recurrent truncating mutation (c.783delG, p.Val262Phefs) in four of the 617 (0.65%) hereditary cases by sequencing. We then genotyped an additional 12,484 women with unselected breast cancer and 3740 cancer-free women for the c.783delG mutation. The APOBEC3B c.783delG allele was detected in 60 (0.48%) unselected cases and 19 (0.51%) controls (OR = 0.95, 95% CI 0.56-1.59, p = 0.94). The allele was present in 8 of 1968 (0.41%) familial breast cancer patients from unselected cases (OR = 0.80, 95% CI 0.35-1.83, p = 0.74). Clinical characteristics of breast tumors in carriers of the APOBEC3B mutation and non-carriers were similar. No cancer type was more frequent in the relatives of mutation carriers than in those of non-carriers. We conclude the APOBEC3B deleterious mutation p.Val262Phefs does not confer breast cancer risk. These data do not support the hypothesis that APOBEC3B is a breast cancer susceptibility gene.
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Affiliation(s)
- Katarzyna Gliniewicz
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
| | - Wojciech Kluźniak
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
| | - Dominika Wokołorczyk
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
| | - Tomasz Huzarski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
- Department of Clinical Genetics and Pathology, University of Zielona Góra, 65-046 Zielona Góra, Poland
| | - Klaudia Stempa
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
| | - Helena Rudnicka
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
| | - Anna Jakubowska
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University in Szczecin, 70-204 Szczecin, Poland
| | - Marek Szwiec
- Department of Surgery and Oncology, University of Zielona Góra, 65-046 Zielona Góra, Poland;
| | | | - Mariusz Naczk
- Institute of Health Sciences, Collegium Medicum, University of Zielona Góra, 65-417 Zielona Góra, Poland;
| | - Tomasz Kluz
- Department of Gynecology and Obstetrics, Institute of Medical, Sciences, Medical College of Rzeszów University, 35-959 Rzeszów, Poland;
| | - Tadeusz Dębniak
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
| | - Jacek Gronwald
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
| | - Jan Lubiński
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
| | - Steven A. Narod
- Women’s College Research Institute, Women’s College Hospital, Toronto, ON M5S 1B2, Canada; (S.A.N.); (M.R.A.)
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Mohammad R. Akbari
- Women’s College Research Institute, Women’s College Hospital, Toronto, ON M5S 1B2, Canada; (S.A.N.); (M.R.A.)
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland; (K.G.); (W.K.); (D.W.); (T.H.); (K.S.); (H.R.); (A.J.); (T.D.); (J.G.); (J.L.)
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15
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Kartti S, Bouricha EM, Zarrik O, Aghlallou Y, Mounjid C, ELJaoudi R, Belyamani L, Ibrahimi A, EL khannoussi B. Targeted Gene Panel Sequencing Unveiled New Pathogenic Mutations in Patients With Breast Cancer. Bioinform Biol Insights 2023; 17:11779322231182054. [PMID: 37377792 PMCID: PMC10291397 DOI: 10.1177/11779322231182054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 05/27/2023] [Indexed: 06/29/2023] Open
Abstract
The increasing commercialization of new gene panels based on next-generation sequencing for clinical research has significantly improved our understanding of breast cancer genetics and has led to the discovery of new mutation variants. The study included 16 unselected Moroccan breast cancer patients tested with multi-gene panel (HEVA screen panel) using Illumina Miseq, followed by Sanger sequencing to validate the most relevant mutation. Mutational analysis revealed the presence of 13 mutations (11 single-nucleotide polymorphisms [SNPs] and 2 indels), and 6 of 11 identified SNPs were predicted as pathogenic. One of the 6 pathogenic mutations was c.7874G>C, a heterozygous SNP in HD-OB domain of BRCA2 gene, which led to the arginine to threonine change at codon 2625 of the protein. This work describes the first case of a patient with breast cancer harboring this pathogenic variant and analyzes its functional impact using molecular docking and molecular dynamics simulation. Further experimental investigations are needed to validate its pathogenicity and to verify its association with breast cancer.
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Affiliation(s)
- Souad Kartti
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
- Mohammed VI Center for Research and Innovation, Rabat, Morocco
| | - El Mehdi Bouricha
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
- Mohammed VI Center for Research and Innovation, Rabat, Morocco
| | - Oumaima Zarrik
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | | | - Chaimaa Mounjid
- Pathology Department, Oncology National Institute, Rabat Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Rachid ELJaoudi
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
- Mohammed VI Center for Research and Innovation, Rabat, Morocco
- Emergency Department, Military Hospital Mohammed V, Rabat, Morocco
| | - Lahcen Belyamani
- Mohammed VI Center for Research and Innovation, Rabat, Morocco
- Emergency Department, Military Hospital Mohammed V, Rabat, Morocco
- Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Azeddine Ibrahimi
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
- Mohammed VI Center for Research and Innovation, Rabat, Morocco
- Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Basma EL khannoussi
- Pathology Department, Oncology National Institute, Rabat Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
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16
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Long G, Hu K, Zhang X, Zhou L, Li J. Spectrum of BRCA1 interacting helicase 1 aberrations and potential prognostic and therapeutic implication: a pan cancer analysis. Sci Rep 2023; 13:4435. [PMID: 36932143 PMCID: PMC10023799 DOI: 10.1038/s41598-023-31109-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 03/06/2023] [Indexed: 03/19/2023] Open
Abstract
BRCA1 interacting helicase 1 (BRIP1) alteration was crucial in tumors and it was a potential therapeutic target in ovarian serous cystadenocarcinoma (OV). Although a small number of studies had focused on BRIP1, an extensive study of BRIP1 genetic mutation and its clinical application in different cancer types had not been analyzed. In the current study, we analyzed BRIP1 abnormal expression, methylation, mutation, and their clinical application via several extensive datasets, which covered over 10,000 tumor samples across more than 30 cancer types. The total mutation rate of BRIP1 was rare in pan cancer. Its alteration frequency, oncogenic effects, mutation, and therapeutic implications were different in each cancer. 242 BRIP1 mutations were found across 32 cancer types. UCEC had the highest alteration (mutation and CNV) frequency. In addition, BRIP1 was a crucial oncogenic factor in OV and BRCA. BRIP1 mutation in PRAD was targetable, and FDA had approved a new drug. Moreover, Kaplan-Meier curve analysis showed that BRIP1 expression and genetic aberrations were closely related to patient survival in several cancers, indicating their potential for application as new tumor markers and therapeutic targets. The current study profiled the total BRIP1 mutation spectrum and offered an extensive molecular outlook of BRIP1 in a pan cancer analysis. And it suggested a brand-new perspective for clinical cancer therapy.
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Affiliation(s)
- Guo Long
- Department of Hepatobiliary Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Kuan Hu
- Department of Hepatobiliary Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Xiaofang Zhang
- Departments of Burn and Plastic, Ningxiang People's Hospital, Hunan University of Chinese Medicine, Changsha, 410600, Hunan, China
| | - Ledu Zhou
- Department of Hepatobiliary Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
| | - Juanni Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
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17
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Wang R, Zhang J, Cui X, Wang S, Chen T, Niu Y, Du X, Kong J, Wang L, Jiang Y. Multimolecular characteristics and role of BRCA1 interacting protein C-terminal helicase 1 (BRIP1) in human tumors: a pan-cancer analysis. World J Surg Oncol 2023; 21:91. [PMID: 36907870 PMCID: PMC10010046 DOI: 10.1186/s12957-022-02877-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 12/09/2022] [Indexed: 03/13/2023] Open
Abstract
BACKGROUND The aberrant expression of BRIP1 was associated with several cancers; however, the panoramic picture of BRIP1 in human tumors remains unclear. This study aims to explore the pan-cancerous picture of the expression of BRIP1 across 33 human cancers. METHODS Based on the data from TCGA and GTEx, a series of bioinformatic analyses were applied to systematically explore the genetic landscape and biologic function of BRIP1 in 33 human tumors. RESULTS We observed prognosis-related differential BRIP1 expressions between various carcinomas and the corresponding normal tissues. "Basal transcription factors," "homologous recombination," "nucleotide excision repair," and DNA metabolism pathways may play a role in the functional mechanisms of BRIP1. Patients with uterine corpus endometrial carcinoma presented with the highest alteration frequency of BRIP1 (nearly 10%). Single-nucleotide and copy number variations of BRIP1 were noticed in multiple cancers, and the expression of BRIP1 is significantly regulated by copy number variation in breast invasive carcinoma and lung squamous cell carcinoma. BRIP1 expression is negatively correlated with the DNA methylation levels in many tumors and is associated with the activation of apoptosis, cell cycle, DNA damage response, and inhibition of hormone ER and RNS/MARK signaling pathways. Moreover, a positive correlation was observed between BRIP1 expression and the immune infiltration levels of cancer-associated fibroblasts and CD8+ T cells in lung adenocarcinoma. CONCLUSION Our pan-cancer analysis of BRIP1 provides a valuable resource for understanding the multimolecular characteristics and biological function of BRIP1 across human cancers.
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Affiliation(s)
- Ruohuang Wang
- Department of Otolaryngology-Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, 266000, China
| | - Jisheng Zhang
- Department of Otolaryngology-Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, 266000, China
| | - Xin Cui
- Qingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong, 266000, China
| | - Shun Wang
- The Ninth People's Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, 200000, China
| | - Ting Chen
- Department of Otolaryngology-Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, 266000, China
| | - Yanfang Niu
- Department of Clinical Laboratory, Yuncheng Central Hospital, Yuncheng, Shanxi, 044000, China
| | - Xiaoyun Du
- Department of Otolaryngology-Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, 266000, China
| | - Jingwen Kong
- Department of Otolaryngology-Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, 266000, China
| | - Lin Wang
- Department of Otolaryngology-Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, 266000, China.
| | - Yan Jiang
- Department of Otolaryngology-Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, 266000, China.
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18
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G4-interacting proteins endangering genomic stability at G4 DNA-forming sites. Biochem Soc Trans 2023; 51:403-413. [PMID: 36629511 PMCID: PMC10018705 DOI: 10.1042/bst20221018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 12/09/2022] [Accepted: 01/03/2023] [Indexed: 01/12/2023]
Abstract
In guanine-rich DNA strands, base-base interactions among guanines allow the conformational shift from the B-form DNA to the non-canonical quadruplex or G4 structure. The functional significance of G4 DNA in vivo is largely dependent on the interaction with protein factors, many of which contain the arginine-glycine-glycine or RGG repeat and other consensus G4-binding motifs. These G4-interacting proteins can significantly modulate the effect of G4 DNA structure on genome maintenance, either preventing or aggravating G4-assoicated genome instability. While the role of helicases in resolving G4 DNA structure has been extensively discussed, identification and characterization of protein factors contributing to elevation in G4-associated genome instability has been relatively sparse. In this minireview, we will particularly highlight recent discoveries regarding how interaction between certain G4-binding proteins and G4 DNA could exacerbate genome instability potentiated by G4 DNA-forming sequences.
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19
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Yang P, Qiao Y, Liao H, Huang Y, Meng M, Chen Y, Zhou Q. The Cancer/Testis Antigen CT45A1 Promotes Transcription of Oncogenic Sulfatase-2 Gene in Breast Cancer Cells and Is Sensible Targets for Cancer Therapy. J Breast Cancer 2023; 26:168-185. [PMID: 37095619 PMCID: PMC10139848 DOI: 10.4048/jbc.2023.26.e5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 11/17/2022] [Accepted: 01/31/2023] [Indexed: 02/16/2023] Open
Abstract
PURPOSE Invasive breast carcinomas (BRCAs) are highly lethal. The molecular mechanisms underlying progression of invasive BRCAs are unclear, and effective therapies are highly desired. The cancer-testis antigen CT45A1 promotes overexpression of pro-metastatic sulfatase-2 (SULF2) and breast cancer metastasis to the lungs, but its mechanisms are largely unknown. In this study, we aimed to elucidate the mechanism of CT45A1-induced SULF2 overexpression and provide evidence for targeting CT45A1 and SULF2 for breast cancer therapy. METHODS The effect of CT45A1 on SULF2 expression was assessed using reverse transcription polymerase chain reaction and western blot. The mechanism of CT45A1-induced SULF2 gene transcription was studied using protein-DNA binding assay and a luciferase activity reporter system. The interaction between CT45A1 and SP1 proteins was assessed using immunoprecipitation and western blot. Additionally, the suppression of breast cancer cell motility by SP1 and SULF2 inhibitors was measured using cell migration and invasion assays. RESULTS CT45A1 and SULF2 are aberrantly overexpressed in patients with BRCA; importantly, overexpression of CT45A1 is closely associated with poor prognosis. Mechanistically, gene promoter demethylation results in overexpression of both CT45A1 and SULF2. CT45A1 binds directly to the core sequence GCCCCC in the promoter region of SULF2 gene and activates the promoter. Additionally, CT45A1 interacts with the oncogenic master transcription factor SP1 to drive SULF2 gene transcription. Interestingly, SP1 and SULF2 inhibitors suppress breast cancer cell migration, invasion, and tumorigenicity. CONCLUSION Overexpression of CT45A1 is associated with poor prognosis in patients with BRCA. CT45A1 promotes SULF2 overexpression by activating the promoter and interacting with SP1. Additionally, SP1 and SULF2 inhibitors suppress breast cancer cell migration, invasion, and tumorigenesis. Our findings provide new insight into the mechanisms of breast cancer metastasis and highlight CT45A1 and SULF2 as sensible targets for developing novel therapeutics against metastatic breast cancer.
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Affiliation(s)
- Ping Yang
- Department of Pathophysiology, School of Medicine, Nantong University, Nantong, P.R. China
| | - Yingnan Qiao
- Cyrus Tang Hematology Center, Jiangsu Institute of Hematology, Soochow University, Suzhou, P.R. China
| | - Huaidong Liao
- Cyrus Tang Hematology Center, Jiangsu Institute of Hematology, Soochow University, Suzhou, P.R. China
| | - Yizheng Huang
- Department of Pathophysiology, School of Medicine, Nantong University, Nantong, P.R. China
| | - Mei Meng
- Cyrus Tang Hematology Center, Jiangsu Institute of Hematology, Soochow University, Suzhou, P.R. China
| | - Yu Chen
- Cyrus Tang Hematology Center, Jiangsu Institute of Hematology, Soochow University, Suzhou, P.R. China
| | - Quansheng Zhou
- Cyrus Tang Hematology Center, Jiangsu Institute of Hematology, Soochow University, Suzhou, P.R. China
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Soochow University, Suzhou, P.R. China
- 2011 Collaborative Innovation Center of Hematology, Soochow University, Suzhou, P.R. China
- National Clinical Research Center for Hematologic Diseases, The Affiliated Hospital of Soochow University, Suzhou, P.R. China
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20
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Metcalfe KA, Narod SA, Eisen A, Poll A, Zamani N, McCready D, Cil TD, Wright FC, Lerner‐Ellis J, McCuaig J, Graham T, Sun P, Akbari MR. Genetic testing women with newly diagnosed breast cancer: What criteria are the most predictive of a positive test? Cancer Med 2022; 12:7580-7587. [PMID: 36544278 PMCID: PMC10067031 DOI: 10.1002/cam4.5515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 11/14/2022] [Accepted: 11/25/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Knowledge of pathogenic variants in cancer-predisposing genes is important when making breast cancer treatment decisions, but genetic testing is not universal and criteria must be met to qualify for genetic testing. The objective of this study was to evaluate the pathogenic variant yield for nine cancer predisposition genes by testing criteria, singly and in combination. METHODS Women diagnosed with breast cancer between June 2013 and May 2018 were recruited from four centers in Toronto, Canada. Participants completed a demographics and family history questionnaire and clinical characteristics were collected from medical charts. Genetic testing was done for BRCA1, BRCA2, PALB2, ATM, CHEK2, BRIP1, RAD51D, RECQL, and TP53. Pathogenic variant frequencies were calculated according to five criteria (age ≤ 50, triple-negative breast cancer, family history, bilateral breast cancer, or Jewish ethnicity). RESULTS Of the 1006 women studied, 100 women (9.9%) were found to have a pathogenic variant in one of the nine genes tested. The highest prevalence of pathogenic variants was found in women with triple-negative breast cancer (23%). Of the 100 pathogenic variants detected, 78 were detected in women diagnosed at age 50 or less. A total of 96% of the mutations were identified with three criteria (age of diagnosis, family history, and triple-negative status). CONCLUSIONS Genetic testing criteria for women with breast cancer should include women with triple-negative breast cancer, regardless of age. All women aged 50 years or below at time of breast cancer diagnosis should be offered genetic testing.
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Affiliation(s)
- Kelly A. Metcalfe
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto Toronto Canada
- Women's College Research Institute Toronto Canada
| | | | - Andrea Eisen
- Sunnybrook Health Sciences Centre Toronto Canada
| | - Aletta Poll
- Women's College Research Institute Toronto Canada
| | - Neda Zamani
- Women's College Research Institute Toronto Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto Toronto Canada
| | - David McCready
- Princess Margaret Cancer Centre, University Health Network Toronto Canada
| | - Tulin D. Cil
- Princess Margaret Cancer Centre, University Health Network Toronto Canada
| | | | | | - Jeanna McCuaig
- Institute of Medical Science, Faculty of Medicine, University of Toronto Toronto Canada
| | - Tracy Graham
- Sunnybrook Health Sciences Centre Toronto Canada
| | - Ping Sun
- Women's College Research Institute Toronto Canada
| | - Mohammad R. Akbari
- Women's College Research Institute Toronto Canada
- Mount Sinai Hospital Toronto Canada
- Dalla Lana School of Public Health, University of Toronto Toronto Canada
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21
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Huang YJ, Chen JY, Yan M, Davis AG, Miyauchi S, Chen L, Hao Y, Katz S, Bejar R, Abdel-Wahab O, Fu XD, Zhang DE. RUNX1 deficiency cooperates with SRSF2 mutation to induce multilineage hematopoietic defects characteristic of MDS. Blood Adv 2022; 6:6078-6092. [PMID: 36206200 PMCID: PMC9772487 DOI: 10.1182/bloodadvances.2022007804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 08/15/2022] [Accepted: 09/13/2022] [Indexed: 12/15/2022] Open
Abstract
Myelodysplastic syndromes (MDSs) are a heterogeneous group of hematologic malignancies with a propensity to progress to acute myeloid leukemia. Causal mutations in multiple classes of genes have been identified in patients with MDS with some patients harboring more than 1 mutation. Interestingly, double mutations tend to occur in different classes rather than the same class of genes, as exemplified by frequent cooccurring mutations in the transcription factor RUNX1 and the splicing factor SRSF2. This prototypic double mutant provides an opportunity to understand how their divergent functions in transcription and posttranscriptional regulation may be altered to jointly promote MDS. Here, we report a mouse model in which Runx1 knockout was combined with the Srsf2 P95H mutation to cause multilineage hematopoietic defects. Besides their additive and synergistic effects, we also unexpectedly noted a degree of antagonizing activity of single mutations in specific hematopoietic progenitors. To uncover the mechanism, we further developed a cellular model using human K562 cells and performed parallel gene expression and splicing analyses in both human and murine contexts. Strikingly, although RUNX1 deficiency was responsible for altered transcription in both single and double mutants, it also induced dramatic changes in global splicing, as seen with mutant SRSF2, and only their combination induced missplicing of genes selectively enriched in the DNA damage response and cell cycle checkpoint pathways. Collectively, these data reveal the convergent impact of a prototypic MDS-associated double mutant on RNA processing and suggest that aberrant DNA damage repair and cell cycle regulation critically contribute to MDS development.
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Affiliation(s)
- Yi-Jou Huang
- Moores Cancer Center, UC San Diego (UCSD), La Jolla, CA
- Department of Molecular Biology, UCSD, La Jolla, CA
| | - Jia-Yu Chen
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA
| | - Ming Yan
- Moores Cancer Center, UC San Diego (UCSD), La Jolla, CA
| | - Amanda G. Davis
- Moores Cancer Center, UC San Diego (UCSD), La Jolla, CA
- Department of Molecular Biology, UCSD, La Jolla, CA
| | | | - Liang Chen
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA
| | - Yajing Hao
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA
| | - Sigrid Katz
- Moores Cancer Center, UC San Diego (UCSD), La Jolla, CA
| | - Rafael Bejar
- Moores Cancer Center, UC San Diego (UCSD), La Jolla, CA
| | - Omar Abdel-Wahab
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Xiang-Dong Fu
- Moores Cancer Center, UC San Diego (UCSD), La Jolla, CA
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA
| | - Dong-Er Zhang
- Moores Cancer Center, UC San Diego (UCSD), La Jolla, CA
- Department of Molecular Biology, UCSD, La Jolla, CA
- Department of Pathology, UC San Diego, La Jolla, CA
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22
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Hanson H, Kulkarni A, Loong L, Kavanaugh G, Torr B, Allen S, Ahmed M, Antoniou AC, Cleaver R, Dabir T, Evans DG, Golightly E, Jewell R, Kohut K, Manchanda R, Murray A, Murray J, Ong KR, Rosenthal AN, Woodward ER, Eccles DM, Turnbull C, Tischkowitz M, Lalloo F. UK consensus recommendations for clinical management of cancer risk for women with germline pathogenic variants in cancer predisposition genes: RAD51C, RAD51D, BRIP1 and PALB2. J Med Genet 2022; 60:417-429. [PMID: 36411032 PMCID: PMC10176381 DOI: 10.1136/jmg-2022-108898] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/25/2022] [Indexed: 11/22/2022]
Abstract
Germline pathogenic variants (GPVs) in the cancer predisposition genes BRCA1, BRCA2, MLH1, MSH2, MSH6, BRIP1, PALB2, RAD51D and RAD51C are identified in approximately 15% of patients with ovarian cancer (OC). While there are clear guidelines around clinical management of cancer risk in patients with GPV in BRCA1, BRCA2, MLH1, MSH2 and MSH6, there are few guidelines on how to manage the more moderate OC risk in patients with GPV in BRIP1, PALB2, RAD51D and RAD51C, with clinical questions about appropriateness and timing of risk-reducing gynaecological surgery. Furthermore, while recognition of RAD51C and RAD51D as OC predisposition genes has been established for several years, an association with breast cancer (BC) has only more recently been described and clinical management of this risk has been unclear. With expansion of genetic testing of these genes to all patients with non-mucinous OC, new data on BC risk and improved estimates of OC risk, the UK Cancer Genetics Group and CanGene-CanVar project convened a 2-day meeting to reach a national consensus on clinical management of BRIP1, PALB2, RAD51D and RAD51C carriers in clinical practice. In this paper, we present a summary of the processes used to reach and agree on a consensus, as well as the key recommendations from the meeting.
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Affiliation(s)
- Helen Hanson
- South West Thames Regional Genetic Services, St George's University Hospitals NHS Foundation Trust, London, UK
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK
| | - Anjana Kulkarni
- Department of Clinical Genetics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Lucy Loong
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK
| | - Grace Kavanaugh
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK
| | - Bethany Torr
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK
| | - Sophie Allen
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK
| | - Munaza Ahmed
- North East Thames Regional Genetics Service, Great Ormond Street Hospital, London, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Ruth Cleaver
- Department of Clinical Genetics, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Tabib Dabir
- Northern Ireland Regional Genetics Centre, Belfast City Hospital, Belfast, UK
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK
| | - Ellen Golightly
- Lothian Menopause Service, Chalmers Sexual Health Centre, Edinburgh, UK
| | - Rosalyn Jewell
- Department of Clinical Genetics, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Kelly Kohut
- South West Thames Regional Genetic Services, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Ranjit Manchanda
- Wolfson Institute of Population Health, Barts CRUK Cancer Centre, Queen Mary University of London, London, UK
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
- Department of Gynaecological Oncology, Barts Health NHS Trust, London, UK
| | - Alex Murray
- All Wales Medical Genomics Services, University Hospital of Wales, Cardiff, UK
| | - Jennie Murray
- South East Scotland Clinical Genetics Service, Western General Hospital, Edinburgh, UK
| | - Kai-Ren Ong
- West Midlands Regional Genetics Service, Birmingham Women's Hospital, Birmingham, UK
| | - Adam N Rosenthal
- Department of Gynaecological Oncology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Emma Roisin Woodward
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Centre for Genomic Medicine, Central Manchester NHS Foundation Trust, Manchester, UK
| | - Diana M Eccles
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Clare Turnbull
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK
| | - Marc Tischkowitz
- Department of Medical Genetics, University of Cambridge, National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
| | | | - Fiona Lalloo
- Manchester Centre for Genomic Medicine, Central Manchester NHS Foundation Trust, Manchester, UK
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23
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Sucularli C. Identification of BRIP1, NSMCE2, ANAPC7, RAD18 and TTL from chromosome segregation gene set associated with hepatocellular carcinoma. Cancer Genet 2022; 268-269:28-36. [PMID: 36126360 DOI: 10.1016/j.cancergen.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 07/12/2022] [Accepted: 09/06/2022] [Indexed: 01/25/2023]
Abstract
INTRODUCTION Hepatocellular carcinoma is one of the most frequent cancers with high mortality rate worldwide. METHODS TCGA LIHC HTseq counts were analyzed. GSEA was performed with GO BP gene sets. GO analysis was performed with differentially expressed genes. The subset of genes contributing most of the enrichment result of GO_BP_CHROMOSOME_SEGREGATION of GSEA were identified. Five genes have been selected in this subset of genes for further analysis. A microarray data set, GSE112790, was analyzed as a validation data set. Survival analysis was performed. RESULTS According to GSEA and GO analysis several gene sets and processes related to chromosome segregation were enriched in LIHC. GO_BP_CHROMOSOME_SEGREGATION gene set from GSEA had the highest size of the genes contributing most of the enrichment. Five genes in this gene set; BRIP1, NSMCE2, ANAPC7, RAD18 and TTL, whose expressions and prognostic values have not been studied in hepatocellular carcinoma in detail, have been selected for further analyses. Expression of these five genes were identified as significantly upregulated in LIHC RNA-seq and HCC microarray data set. Survival analysis showed that high expression of the five genes was associated with poor overall survival in HCC patients. CONCLUSION Selected genes were upregulated and had prognostic value in HCC.
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Affiliation(s)
- Ceren Sucularli
- Department of Bioinformatics, Institute of Health Sciences, Hacettepe University, Ankara, Turkey.
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24
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Loveday C, Garrett A, Law P, Hanks S, Poyastro-Pearson E, Adlard JW, Barwell J, Berg J, Brady AF, Brewer C, Chapman C, Cook J, Davidson R, Donaldson A, Douglas F, Greenhalgh L, Henderson A, Izatt L, Kumar A, Lalloo F, Miedzybrodzka Z, Morrison PJ, Paterson J, Porteous M, Rogers MT, Walker L, Eccles D, Evans DG, Snape K, Hanson H, Houlston RS, Turnbull C. Analysis of rare disruptive germline mutations in 2,135 enriched BRCA-negative breast cancers excludes additional high-impact susceptibility genes. Ann Oncol 2022; 33:1318-1327. [PMID: 36122798 DOI: 10.1016/j.annonc.2022.09.152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 08/15/2022] [Accepted: 09/01/2022] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND Breast cancer has a significant heritable basis, of which approximately 60% remains unexplained. Testing for BRCA1/BRCA2 offers useful discrimination of breast cancer risk within families, and identification of additional breast cancer susceptibility genes could offer clinical utility. PATIENTS AND METHODS We included 2,135 invasive breast cancer cases recruited via the BOCS study, a retrospective UK study of familial breast cancer. ELIGIBILITY CRITERIA female, BRCA-negative, white European ethnicity, and one of: i) breast cancer family history, ii) bilateral disease, iii) young age of onset (<30 years), iv) concomitant ovarian cancer. We undertook exome sequencing of cases and performed gene-level burden testing of rare damaging variants against those from 51,377 ethnicity-matched population controls from gnomAD. RESULTS 159/2135 (7.4%) cases had a qualifying variant in an established breast cancer susceptibility gene, with minimal evidence of signal in other cancer susceptibility genes. Known breast cancer susceptibility genes PALB2, CHEK2 and ATM were the only genes to retain statistical significance after correcting for multiple testing. Due to the enrichment of hereditary cases in the series, we had good power (>80%) to detect a gene of BRCA1-like risk (odds ratio = 10.6) down to a population minor allele frequency of 4.6 x 10-5 (1 in 10,799, less than one tenth that of BRCA1)and of PALB2-like risk (odds ratio = 5.0) down to a population minor allele frequency of 2.8 x 10-4 (1 in 1,779, less than half that of PALB2). Power was lower for identification of novel moderate penetrance genes (odds ratio = 2-3) like CHEK2 and ATM. CONCLUSIONS This is the largest case-control whole-exome analysis of enriched breast cancer published to date. Whilst additional breast cancer susceptibility genes likely exist, those of high penetrance are likely to be of very low mutational frequency. Contention exists regarding the clinical utility of such genes.
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Affiliation(s)
- C Loveday
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - A Garrett
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - P Law
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - S Hanks
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - E Poyastro-Pearson
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - J W Adlard
- Yorkshire Regional Genetics Service, St James's University Hospital, Leeds, UK
| | - J Barwell
- Leicestershire Genetics Centre, University Hospitals of Leicester National Health Service (NHS) Trust, Leicester, UK
| | - J Berg
- Division of Medical Sciences, Human Genetics, University of Dundee, Dundee, UK
| | - A F Brady
- North West Thames Regional Genetics Service, Kennedy Galton Centre, London, UK
| | - C Brewer
- Peninsula Regional Genetics Service, Royal Devon & Exeter Hospital, Exeter, UK
| | - C Chapman
- West Midlands Regional Genetics Service, Birmingham Women's Hospital, Birmingham, UK
| | - J Cook
- Sheffield Regional Genetics Service, Sheffield Children's NHS Foundation Trust, Sheffield, UK
| | - R Davidson
- West of Scotland Regional Genetics Service, Ferguson Smith Centre for Clinical Genetics, Glasgow, UK
| | - A Donaldson
- South Western Regional Genetics Service, University Hospitals of Bristol NHS Foundation Trust, Bristol, UK
| | - F Douglas
- Northern Genetics Service, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - L Greenhalgh
- Cheshire and Merseyside Clinical Genetics Service, Alder Hey Children's NHS Foundation Trust, Liverpool, UK
| | - A Henderson
- Northern Genetics Service (Cumbria), Newcastle upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK
| | - L Izatt
- South East Thames Regional Genetics Service, Guy's and St. Thomas NHS Foundation Trust, London, UK
| | - A Kumar
- North East Thames Regional Genetics Service, Great Ormond St. Hospital, London, UK
| | - F Lalloo
- University Department of Medical Genetics & Regional Genetics Service, St. Mary's Hospital, Manchester, UK
| | - Z Miedzybrodzka
- University of Aberdeen and North of Scotland Clinical Genetics Service, Aberdeen Royal Infirmary, Aberdeen, UK
| | - P J Morrison
- Belfast Health and Social Care (HSC) Trust & Department of Medical Genetics, Northern Ireland Regional Genetics Service, Queen's University Belfast, Belfast, UK
| | - J Paterson
- East Anglian Regional Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - M Porteous
- South East of Scotland Clinical Genetics Service, Western General Hospital, Edinburgh, UK
| | - M T Rogers
- All Wales Medical Genetics Service, University Hospital of Wales, Cardiff, UK
| | - L Walker
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, Oxford, UK
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- Individual collaborators and their affiliations are listed in the Appendix
| | - D Eccles
- Faculty of Medicine, University of Southampton, Southampton University Hospitals NHS Trust, Southampton, UK
| | - D G Evans
- University Department of Medical Genetics & Regional Genetics Service, St. Mary's Hospital, Manchester, UK
| | - K Snape
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK.; South West Thames Regional Genetics Service, St. George's Hospital, London, UK
| | - H Hanson
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK.; South West Thames Regional Genetics Service, St. George's Hospital, London, UK
| | - R S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - C Turnbull
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK.; Royal Marsden NHS Foundation Hospital, London, UK.
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Fujita M, Liu X, Iwasaki Y, Terao C, Mizukami K, Kawakami E, Takata S, Inai C, Aoi T, Mizukoshi M, Maejima K, Hirata M, Murakami Y, Kamatani Y, Kubo M, Akagi K, Matsuda K, Nakagawa H, Momozawa Y. Population-based Screening for Hereditary Colorectal Cancer Variants in Japan. Clin Gastroenterol Hepatol 2022; 20:2132-2141.e9. [PMID: 33309985 DOI: 10.1016/j.cgh.2020.12.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 12/01/2020] [Accepted: 12/06/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Colorectal cancer (CRC) is one of the most common cancers in the world. A small proportion of CRCs can be attributed to recognizable hereditary germline variants of known CRC susceptibility genes. To better understand cancer risk, it is necessary to explore the prevalence of hereditary CRC and pathogenic variants of multiple cancer-predisposing genes in non-European populations. METHODS We analyzed the coding regions of 27 cancer-predisposing genes in 12,503 unselected Japanese CRC patients and 23,705 controls by target sequencing and genome-wide SNP chip. Their clinical significance was assessed using ClinVar and the guidelines by ACMG/AMP. RESULTS We identified 4,804 variants in the 27 genes and annotated them as pathogenic in 397 and benign variants in 941, of which 43.6% were novel. In total, 3.3% of the unselected CRC patients and 1.5% of the controls had a pathogenic variant. The pathogenic variants of MSH2 (odds ratio (OR) = 18.1), MLH1 (OR = 8.6), MSH6 (OR = 4.9), APC (OR = 49.4), BRIP1 (OR=3.6), BRCA1 (OR = 2.6), BRCA2 (OR = 1.9), and TP53 (OR = 1.7) were significantly associated with CRC development in the Japanese population (P-values<0.01, FDR<0.05). These pathogenic variants were significantly associated with diagnosis age and personal/family history of cancer. In total, at least 3.5% of the Japanese CRC population had a pathogenic variant or CNV of the 27 cancer-predisposing genes, indicating hereditary cancers. CONCLUSIONS This largest study of CRC heredity in Asia can contribute to the development of guidelines for genetic testing and variant interpretation for heritable CRCs.
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Affiliation(s)
| | - Xiaoxi Liu
- RIKEN Center for Integrative Medical Sciences, Yokohama
| | | | | | | | - Eiryo Kawakami
- Medical Sciences Innovation Hub Program, RIKEN, Yokohama; Artificial intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba
| | | | - Chihiro Inai
- RIKEN Center for Integrative Medical Sciences, Yokohama
| | - Tomomi Aoi
- RIKEN Center for Integrative Medical Sciences, Yokohama
| | | | | | - Makoto Hirata
- Institute of Medical Science, University of Tokyo, Tokyo
| | | | | | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama
| | - Kiwamu Akagi
- Division of Molecular Diagnosis and Cancer Prevention, Saitama Cancer Center, Saitama
| | - Koichi Matsuda
- Graduate School of Frontier Science, University of Tokyo, Tokyo, Japan
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Yamaoka K, Fujiwara M, Uchida M, Uesawa Y, Muroi N, Shimizu T. Comprehensive Analysis of Adverse Events Induced by PARP Inhibitors Using JADER and Time to Onset. Life (Basel) 2022; 12:life12091355. [PMID: 36143391 PMCID: PMC9504973 DOI: 10.3390/life12091355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 08/28/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022] Open
Abstract
Poly (ADP-ribose) polymerase (PARP) inhibitors are effective against breast cancer susceptibility gene (BRCA) mutations. Clinical trials have reported hematologic toxicity and gastrointestinal symptoms as class effects of PARP inhibitors. However, information on adverse events (AEs) in a Japanese clinical cohort is currently lacking. In this study, we conducted a comprehensive survey of the AEs of two PARP inhibitors, olaparib and niraparib, using the Japanese Adverse Reaction Reporting (JADER) database provided by the Pharmaceuticals and Medical Devices Agency (PMDA). Moreover, we also analyzed the course and time to the onset of AEs. Signals were detected for 15 and 11 AEs for olaparib and niraparib, respectively. Most occurred within the first month of treatment with either agent. These results may indicate the importance of early response and monitoring after beginning PARP inhibitor therapy. The results of this study may be useful for managing side effects and suggesting supportive care for patients using PARP inhibitors in the future.
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Affiliation(s)
- Kenta Yamaoka
- Department of Pharmacy, Kobe City Medical Center General Hospital, Kobe 650-0047, Japan
- School of Pharmacy, Hyogo Medical University, Kobe 650-8530, Japan
| | - Masaki Fujiwara
- Department of Pharmacy, Kobe City Medical Center General Hospital, Kobe 650-0047, Japan
- School of Pharmacy, Hyogo Medical University, Kobe 650-8530, Japan
| | - Mayako Uchida
- Department of Education and Research Center for Pharmacy Practice, Faculty of Pharmaceutical Sciences, Doshisha Women’s College of Liberal Arts, Kyotanabe 610-0395, Japan
| | - Yoshihiro Uesawa
- Department of Medical Molecular Informatics, Meiji Pharmaceutical University, Tokyo 204-8588, Japan
| | - Nobuyuki Muroi
- Department of Pharmacy, Kobe City Medical Center General Hospital, Kobe 650-0047, Japan
| | - Tadashi Shimizu
- School of Pharmacy, Hyogo Medical University, Kobe 650-8530, Japan
- Correspondence:
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Kohzaki M. Mammalian Resilience Revealed by a Comparison of Human Diseases and Mouse Models Associated With DNA Helicase Deficiencies. Front Mol Biosci 2022; 9:934042. [PMID: 36032672 PMCID: PMC9403131 DOI: 10.3389/fmolb.2022.934042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 06/23/2022] [Indexed: 12/01/2022] Open
Abstract
Maintaining genomic integrity is critical for sustaining individual animals and passing on the genome to subsequent generations. Several enzymes, such as DNA helicases and DNA polymerases, are involved in maintaining genomic integrity by unwinding and synthesizing the genome, respectively. Indeed, several human diseases that arise caused by deficiencies in these enzymes have long been known. In this review, the author presents the DNA helicases associated with human diseases discovered to date using recent analyses, including exome sequences. Since several mouse models that reflect these human diseases have been developed and reported, this study also summarizes the current knowledge regarding the outcomes of DNA helicase deficiencies in humans and mice and discusses possible mechanisms by which DNA helicases maintain genomic integrity in mammals. It also highlights specific diseases that demonstrate mammalian resilience, in which, despite the presence of genomic instability, patients and mouse models have lifespans comparable to those of the general population if they do not develop cancers; finally, this study discusses future directions for therapeutic applications in humans that can be explored using these mouse models.
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28
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Boussios S, Rassy E, Moschetta M, Ghose A, Adeleke S, Sanchez E, Sheriff M, Chargari C, Pavlidis N. BRCA Mutations in Ovarian and Prostate Cancer: Bench to Bedside. Cancers (Basel) 2022; 14:cancers14163888. [PMID: 36010882 PMCID: PMC9405840 DOI: 10.3390/cancers14163888] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary DNA damage is one of the hallmarks of cancer. Epithelial ovarian cancer (EOC) —especially the high-grade serous subtype—harbors a defect in at least one DNA damage response (DDR) pathway. Defective DDR results from a variety of lesions affecting homologous recombination (HR) and nonhomologous end joining (NHEJ) for double strand breaks, base excision repair (BER), and nucleotide excision repair (NER) for single strand breaks and mismatch repair (MMR). Apart from the EOC, mutations in the DDR genes, such as BRCA1 and BRCA2, are common in prostate cancer as well. Among them, BRCA2 lesions are found in 12% of metastatic castration-resistant prostate cancers, but very rarely in primary prostate cancer. Better understanding of the DDR pathways is essential in order to optimize the therapeutic choices, and has led to the design of biomarker-driven clinical trials. Poly(ADP-ribose) polymerase (PARP) inhibitors are now a standard therapy for EOC patients, and more recently have been approved for the metastatic castration-resistant prostate cancer with alterations in DDR genes. They are particularly effective in tumours with HR deficiency. Abstract DNA damage repair (DDR) defects are common in different cancer types, and these alterations can be exploited therapeutically. Epithelial ovarian cancer (EOC) is among the tumours with the highest percentage of hereditary cases. BRCA1 and BRCA2 predisposing pathogenic variants (PVs) were the first to be associated with EOC, whereas additional genes comprising the homologous recombination (HR) pathway have been discovered with DNA sequencing technologies. The incidence of DDR alterations among patients with metastatic prostate cancer is much higher compared to those with localized disease. Genetic testing is playing an increasingly important role in the treatment of patients with ovarian and prostate cancer. The development of poly (ADP-ribose) polymerase (PARP) inhibitors offers a therapeutic strategy for patients with EOC. One of the mechanisms of PARP inhibitors exploits the concept of synthetic lethality. Tumours with BRCA1 or BRCA2 mutations are highly sensitive to PARP inhibitors. Moreover, the synthetic lethal interaction may be exploited beyond germline BRCA mutations in the context of HR deficiency, and this is an area of ongoing research. PARP inhibitors are in advanced stages of development as a treatment for metastatic castration-resistant prostate cancer. However, there is a major concern regarding the need to identify reliable biomarkers predictive of treatment response. In this review, we explore the mechanisms of DDR, the potential for genomic analysis of ovarian and prostate cancer, and therapeutics of PARP inhibitors, along with predictive biomarkers.
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Affiliation(s)
- Stergios Boussios
- Department of Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Gillingham ME7 5NY, UK
- Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, King’s College London, London SE1 9RT, UK
- AELIA Organization, 9th Km Thessaloniki-Thermi, 57001 Thessaloniki, Greece
- Correspondence:
| | - Elie Rassy
- Department of Medical Oncology, Gustave Roussy Institut, 94805 Villejuif, France
| | - Michele Moschetta
- Novartis Institutes for BioMedical Research, CH 4033 Basel, Switzerland
| | - Aruni Ghose
- Department of Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Gillingham ME7 5NY, UK
- Department of Medical Oncology, Barts Cancer Centre, St. Bartholomew’s Hospital, Barts Health NHS Trust, London E1 1BB, UK
- Department of Medical Oncology, Mount Vernon Cancer Centre, East and North Hertfordshire NHS Trust, London KT1 2EE, UK
- Centre for Education, Faculty of Life Sciences and Medicine, King’s College London, London SE1 9RT, UK
| | - Sola Adeleke
- High Dimensional Neurology Group, UCL Queen’s Square Institute of Neurology, London WC1N 3BG, UK
- Department of Oncology, Guy’s and St Thomas’ Hospital, London SE1 9RT, UK
- School of Cancer & Pharmaceutical Sciences, King’s College London, Strand, London WC2R 2LS, UK
| | - Elisabet Sanchez
- Department of Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Gillingham ME7 5NY, UK
| | - Matin Sheriff
- Department of Urology, Medway NHS Foundation Trust, Windmill Road, Gillingham ME7 5NY, UK
| | - Cyrus Chargari
- Department of Medical Oncology, Gustave Roussy Institut, 94805 Villejuif, France
| | - Nicholas Pavlidis
- Medical School, University of Ioannina, Stavros Niarchou Avenue, 45110 Ioannina, Greece
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29
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Genomic analysis of an aggressive case with metastatic intrahepatic mucinous cholangiocarcinoma. Clin J Gastroenterol 2022; 15:809-817. [PMID: 35699889 DOI: 10.1007/s12328-022-01649-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/22/2022] [Indexed: 12/09/2022]
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Expression of DNA Helicase Genes Was Correlated with Homologous Recombination Deficiency in Breast Cancer. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:5508301. [PMID: 35855837 PMCID: PMC9288330 DOI: 10.1155/2022/5508301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 06/22/2022] [Indexed: 01/01/2023]
Abstract
Homologous recombination deficiency which is currently measured by the homologous recombination deficiency (HRD) score including score of telomeric allelic imbalance (TAI), large-scale transition (LST), and loss of heterozygosity (LOH) is highly related with sensitivity to platinum-containing drug and PARP inhibitors. DNA helicases are essential components for the homologous recombination repair process in which DNA helicases unwind double-strand DNA utilizing ATP hydrolysis. In our study, the correlation between the expression of DNA helicase genes and HRD score in breast cancer was analyzed. The overexpression in half of the DNA helicase genes was found to be highly correlated with a high HRD score both in BRCA-mutated and BRCA wild-type breast cancer. Moreover, HRD score can be predicted by a linear function contributed by five DNA helicase genes. In conclusion, our study revealed a close relation between the overexpression of certain DNA helicase genes and the deficiency of homologous recombination repair in breast cancer.
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31
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Shah S, Cheung A, Kutka M, Sheriff M, Boussios S. Epithelial Ovarian Cancer: Providing Evidence of Predisposition Genes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19138113. [PMID: 35805770 PMCID: PMC9265838 DOI: 10.3390/ijerph19138113] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/28/2022] [Accepted: 06/30/2022] [Indexed: 12/19/2022]
Abstract
Epithelial ovarian cancer (EOC) is one of the cancers most influenced by hereditary factors. A fourth to a fifth of unselected EOC patients carry pathogenic variants (PVs) in a number of genes, the majority of which encode for proteins involved in DNA mismatch repair (MMR) pathways. PVs in BRCA1 and BRCA2 genes are responsible for a substantial fraction of hereditary EOC. In addition, PV genes involved in the MMR pathway account for 10–15% of hereditary EOC. The identification of women with homologous recombination (HR)-deficient EOCs has significant clinical implications, concerning chemotherapy regimen planning and development as well as the use of targeted therapies such as poly(ADP-ribose) polymerase (PARP) inhibitors. With several genes involved, the complexity of genetic testing increases. In this context, next-generation sequencing (NGS) allows testing for multiple genes simultaneously with a rapid turnaround time. In this review, we discuss the EOC risk assessment in the era of NGS.
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Affiliation(s)
- Sidrah Shah
- Department of Palliative Care, Guy’s and St Thomas’ Hospital, London SE1 9RT, UK;
| | - Alison Cheung
- Department of Hematology/Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Kent, Gillingham ME7 5NY, UK; (A.C.); (M.K.)
| | - Mikolaj Kutka
- Department of Hematology/Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Kent, Gillingham ME7 5NY, UK; (A.C.); (M.K.)
| | - Matin Sheriff
- Department of Urology, Medway NHS Foundation Trust, Windmill Road, Kent, Gillingham ME7 5NY, UK;
| | - Stergios Boussios
- Department of Palliative Care, Guy’s and St Thomas’ Hospital, London SE1 9RT, UK;
- King’s College London, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, London SE1 9RT, UK
- AELIA Organization, 9th Km Thessaloniki-Thermi, 57001 Thessaloniki, Greece
- Correspondence: or or
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32
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Pensabene M, Von Arx C, De Laurentiis M. Male Breast Cancer: From Molecular Genetics to Clinical Management. Cancers (Basel) 2022; 14:2006. [PMID: 35454911 PMCID: PMC9030724 DOI: 10.3390/cancers14082006] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 12/18/2022] Open
Abstract
MBC is a rare disease accounting for almost 1% of all cancers in men and less than 1% of breast cancer. Emerging data on the genetic drivers of predisposition for MBC are available and different risk factors have been associated with its pathogenesis. Genetic alterations, such as pathogenetic variants in BRCA1/2 and other moderate-/low-penetrance genes, along with non-genetic risk factors, have been recognized as pathogenic factors for MBC. Preventive and therapeutic implications could be related to the detection of alterations in predisposing genes, especially BRCA1/2, and to the identification of oncogenic drivers different from FBC. However, approved treatments for MBC remain the same as FBC. Cancer genetic counseling has to be considered in the diagnostic work-up of MBC with or without positive oncological family history. Here, we review the literature, reporting recent data about this malignancy with a specific focus on epidemiology, and genetic and non-genetic risk factors. We introduce the perspective of cancer genetic counseling for MBC patients and their healthy at-risk family members, with a focus on different hereditary cancer syndromes.
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Affiliation(s)
- Matilde Pensabene
- National Cancer Institute, IRCCS Fondazione G. Pascale, 80131 Naples, Italy; (C.V.A.); (M.D.L.)
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33
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Breast cancer in the era of integrating “Omics” approaches. Oncogenesis 2022; 11:17. [PMID: 35422484 PMCID: PMC9010455 DOI: 10.1038/s41389-022-00393-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 03/27/2022] [Accepted: 03/30/2022] [Indexed: 12/24/2022] Open
Abstract
Worldwide, breast cancer is the leading cause of cancer-related deaths in women. Breast cancer is a heterogeneous disease characterized by different clinical outcomes in terms of pathological features, response to therapies, and long-term patient survival. Thus, the heterogeneity found in this cancer led to the concept that breast cancer is not a single disease, being very heterogeneous both at the molecular and clinical level, and rather represents a group of distinct neoplastic diseases of the breast and its cells. Indubitably, in the past decades we witnessed a significant development of innovative therapeutic approaches, including targeted and immunotherapies, leading to impressive results in terms of increased survival for breast cancer patients. However, these multimodal treatments fail to prevent recurrence and metastasis. Therefore, it is urgent to improve our understanding of breast tumor and metastasis biology. Over the past few years, high-throughput “omics” technologies through the identification of novel biomarkers and molecular profiling have shown their great potential in generating new insights in the study of breast cancer, also improving diagnosis, prognosis and prediction of response to treatment. In this review, we discuss how the implementation of “omics” strategies and their integration may lead to a better comprehension of the mechanisms underlying breast cancer. In particular, with the aim to investigate the correlation between different “omics” datasets and to define the new important key pathway and upstream regulators in breast cancer, we applied a new integrative meta-analysis method to combine the results obtained from genomics, proteomics and metabolomics approaches in different revised studies.
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Athar F, Templeman NM. C. elegans as a model organism to study female reproductive health. Comp Biochem Physiol A Mol Integr Physiol 2022; 266:111152. [PMID: 35032657 DOI: 10.1016/j.cbpa.2022.111152] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 01/04/2022] [Accepted: 01/07/2022] [Indexed: 12/17/2022]
Abstract
Female reproductive health has been historically understudied and underfunded. Here, we present the advantages of using a free-living nematode, Caenorhabditis elegans, as an animal system to study fundamental aspects of female reproductive health. C. elegans is a powerful high-throughput model organism that shares key genetic and physiological similarities with humans. In this review, we highlight areas of pressing medical and biological importance in the 21st century within the context of female reproductive health. These include the decline in female reproductive capacity with increasing chronological age, reproductive dysfunction arising from toxic environmental insults, and cancers of the reproductive system. C. elegans has been instrumental in uncovering mechanistic insights underlying these processes, and has been valuable for developing and testing therapeutics to combat them. Adopting a convenient model organism such as C. elegans for studying reproductive health will encourage further research into this field, and broaden opportunities for making advancements into evolutionarily conserved mechanisms that control reproductive function.
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Affiliation(s)
- Faria Athar
- Department of Biology, University of Victoria, Victoria, British Columbia V8P 5C2, Canada
| | - Nicole M Templeman
- Department of Biology, University of Victoria, Victoria, British Columbia V8P 5C2, Canada.
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35
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Ajaz S, Zaidi SEZ, Ali S, Siddiqa A, Memon MA. Germline Mutation Analysis in Sporadic Breast Cancer Cases With Clinical Correlations. Front Genet 2022; 13:820610. [PMID: 35356428 PMCID: PMC8959921 DOI: 10.3389/fgene.2022.820610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/08/2022] [Indexed: 11/15/2022] Open
Abstract
Demographics for breast cancers vary widely among nations. The frequency of germline mutations in breast cancers, which reflects the hereditary cases, has not been investigated adequately and accurately in highly-consanguineous Pakistani population. In the present discovery case series, germ-line mutations in twenty-seven breast cancer candidate genes were investigated in eighty-four sporadic breast cancer patients along with the clinical correlations. The germ-line variants were also assessed in two healthy gender-matched controls. The clinico-pathological features were evaluated by descriptive analysis and Pearson χ2 test (with significant p-value <0.05). The most frequent parameters associated with hereditary cancer cases are age and ethnicity. Therefore, the analyses were stratified on the basis of age (≤40 years vs. >40 years) and ethnicity. The breast cancer gene panel assay was carried out by BROCA, which is a genomic capture, massively parallel next generation sequencing assay on Illumina Hiseq2000 with 100bp read lengths. Copy number variations were determined by partially-mapped read algorithm. Once the mutation was identified, it was validated by Sanger sequencing. The ethnic analysis stratified on the basis of age showed that the frequency of breast cancer at young age (≤40 years) was higher in Sindhis (n = 12/19; 64%) in contrast to patients in other ethnic groups. Majority of the patients had stage III (38.1%), grade III (50%), tumor size 2–5 cm (54.8%), and invasive ductal carcinoma (81%). Overall, the analysis revealed germ-line mutations in 11.9% of the patients, which was not significantly associated with younger age or any particular ethnicity. The mutational spectrum was restricted to three genes: BRCA1, BRCA2, and TP53. The identified mutations consist of seven novel germ-line mutations, while three mutations have been reported previously. All the mutations are predicted to result in protein truncation. No mutations were identified in the remaining twenty-four candidate breast cancer genes. The present study provides the framework for the development of hereditary-based preventive and treatment strategies against breast cancers in Pakistani population.
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Affiliation(s)
- Sadia Ajaz
- Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, Pakistan
- Department of Human Genetics and Molecular Biology, University of Health Sciences, Lahore, Pakistan
- *Correspondence: Sadia Ajaz, ,
| | - Sani-e-Zehra Zaidi
- Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, Pakistan
| | - Saleema Ali
- Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, Pakistan
| | - Aisha Siddiqa
- Atomic Energy Medical Centre (AEMC), Jinnah Postgraduate Medical Centre (JPMC), Karachi, Pakistan
| | - Muhammad Ali Memon
- Atomic Energy Medical Centre (AEMC), Jinnah Postgraduate Medical Centre (JPMC), Karachi, Pakistan
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Yang F, Long N, Anekpuritanang T, Bottomly D, Savage JC, Lee T, Solis-Ruiz J, Borate U, Wilmot B, Tognon C, Bock AM, Pollyea DA, Radhakrishnan S, Radhakrishnan S, Patel P, Collins RH, Tantravahi S, Deininger MW, Fan G, Druker B, Shinde U, Tyner JW, Press RD, McWeeney S, Agarwal A. Identification and prioritization of myeloid malignancy germline variants in a large cohort of adult patients with AML. Blood 2022; 139:1208-1221. [PMID: 34482403 PMCID: PMC9211447 DOI: 10.1182/blood.2021011354] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 08/12/2021] [Indexed: 11/20/2022] Open
Abstract
Inherited predisposition to myeloid malignancies is more common than previously appreciated. We analyzed the whole-exome sequencing data of paired leukemia and skin biopsy samples from 391 adult patients from the Beat AML 1.0 consortium. Using the 2015 American College of Medical Genetics and Genomics (ACMG) guidelines for variant interpretation, we curated 1547 unique variants from 228 genes. The pathogenic/likely pathogenic (P/LP) germline variants were identified in 53 acute myeloid leukemia (AML) patients (13.6%) in 34 genes, including 6.39% (25/391) of patients harboring P/LP variants in genes considered clinically actionable (tier 1). 41.5% of the 53 patients with P/LP variants were in genes associated with the DNA damage response. The most frequently mutated genes were CHEK2 (8 patients) and DDX41 (7 patients). Pathogenic germline variants were also found in new candidate genes (DNAH5, DNAH9, DNMT3A, and SUZ12). No strong correlation was found between the germline mutational rate and age of AML onset. Among 49 patients who have a reported history of at least one family member affected with hematological malignancies, 6 patients harbored known P/LP germline variants and the remaining patients had at least one variant of uncertain significance, suggesting a need for further functional validation studies. Using CHEK2 as an example, we show that three-dimensional protein modeling can be one of the effective methodologies to prioritize variants of unknown significance for functional studies. Further, we evaluated an in silico approach that applies ACMG curation in an automated manner using the tool for assessment and (TAPES) prioritization in exome studies, which can minimize manual curation time for variants. Overall, our findings suggest a need to comprehensively understand the predisposition potential of many germline variants in order to enable closer monitoring for disease management and treatment interventions for affected patients and families.
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Affiliation(s)
- Fei Yang
- Department of Pathology and Laboratory Medicine and
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Nicola Long
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Tauangtham Anekpuritanang
- Department of Pathology and Laboratory Medicine and
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
- Department of Pathology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok
| | - Daniel Bottomly
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
- Division of Bioinformatics & Computational Biology and
| | - Jonathan C Savage
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
- Department of Chemical Physiology & Biochemistry, Oregon Health & Science University, Portland, OR
| | - Tiffany Lee
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Jose Solis-Ruiz
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Uma Borate
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Beth Wilmot
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
- Division of Bioinformatics & Computational Biology and
| | - Cristina Tognon
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Allison M Bock
- Department of Medicine, University of Colorado, Aurora, CO
| | | | | | | | - Prapti Patel
- University of Texas Southwestern Medical Center, Dallas, TX
| | | | | | | | - Guang Fan
- Department of Pathology and Laboratory Medicine and
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Brian Druker
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Ujwal Shinde
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
- Department of Chemical Physiology & Biochemistry, Oregon Health & Science University, Portland, OR
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
- Department of Cell, Developmental & Cancer Biology
| | - Richard D Press
- Department of Pathology and Laboratory Medicine and
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
| | - Shannon McWeeney
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
- Division of Bioinformatics & Computational Biology and
| | - Anupriya Agarwal
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR
- Department of Cell, Developmental & Cancer Biology
- Division of Hematology and Oncology, and
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR
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37
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Vodolazhsky DI, Mayakovskaya AV, Kubyshkin AV, Aliev KA, Fomochkina II. Clinical significance of gene polymorphisms for hereditary predisposition to breast and ovarian cancer (review of literature). Klin Lab Diagn 2021; 66:760-767. [PMID: 35020290 DOI: 10.51620/0869-2084-2021-66-12-760-767] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The review presents classical and modern views on the molecular genetic causes underlying hereditary predisposition to breast and ovarian cancer. A computerized literature search was carried out in the electronic databases MEDLINE, Scopus, and Web of Science, published between January 1994 and May 2021, using the keywords: «hereditary breast and ovarian cancer», «BRCA» and «DNA repair». Current views on the role of germline mutations in genes for susceptibility to breast cancer (BC): BRCA1, BRCA2, PALB2, TP53, CHEK2, PTEN, ATM, and PPM1D are presented. The role of a complex of genes involved in homologous DNA repair and causing other hereditary oncological diseases is considered. The role of the loss of heterozygosity in these genes, which increases the level of chromosomal instability and leads to an increased risk of malignant transformation, is considered. Germinal mutations in the genes under consideration in 90% of clinical cases are the cause of initiation of tissue malignancy and greatly increase the risk of developing hereditary breast cancer and OC. The review emphasizes the complex nature of pathogenesis and significant polymorphism of genetic targets for hereditary breast cancer and OC. It is concluded that it is necessary to use NGS panels for complex screening of genes of hereditary susceptibility to these oncological diseases. The review provides data on the clinical significance of each group of genes of hereditary predisposition in the pathogenesis of breast cancer and OC, and also demonstrates the possible role of methylation of the promoter regions of genes and the state of mitochondrial DNA in the development of these pathologies. The purpose of this review was to broaden the horizons of specialists in the field of oncology and clinical diagnostics in the context of the rapidly expanding spectrum of molecular genetic markers of hereditary breast and ovarian cancers.
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Affiliation(s)
- D I Vodolazhsky
- Medical Academy named after S.I. Georgievsky of Vernadsky CFU
| | | | - A V Kubyshkin
- Medical Academy named after S.I. Georgievsky of Vernadsky CFU
| | - K A Aliev
- Medical Academy named after S.I. Georgievsky of Vernadsky CFU
| | - I I Fomochkina
- Medical Academy named after S.I. Georgievsky of Vernadsky CFU
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38
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Shen L, Zhang S, Wang K, Wang X. Familial Breast Cancer: Disease Related Gene Mutations and Screening Strategies for Chinese Population. Front Oncol 2021; 11:740227. [PMID: 34926254 PMCID: PMC8671637 DOI: 10.3389/fonc.2021.740227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 11/12/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND About 5%-10% of the breast cancer cases have a hereditary background, and this subset is referred to as familial breast cancer (FBC). In this review, we summarize the susceptibility genes and genetic syndromes associated with FBC and discuss the FBC screening and high-risk patient consulting strategies for the Chinese population. METHODS We searched the PubMed database for articles published between January 2000 and August 2021. Finally, 380 pieces of literature addressing the genes and genetic syndromes related to FBC were included and reviewed. RESULTS We identified 16 FBC-related genes and divided them into three types (high-, medium-, and low-penetrance) of genes according to their relative risk ratios. In addition, six genetic syndromes were found to be associated with FBC. We then summarized the currently available screening strategies for FBC and discussed those available for high-risk Chinese populations. CONCLUSION Multiple gene mutations and genetic disorders are closely related to FBC. The National Comprehensive Cancer Network (NCCN) guidelines recommend corresponding screening strategies for these genetic diseases. However, such guidelines for the Chinese population are still lacking. For screening high-risk groups in the Chinese population, genetic testing is recommended after genetic counseling.
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Affiliation(s)
| | | | | | - Xiaochen Wang
- Department of Breast Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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39
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Khan U, Khan MS. Prognostic Value Estimation of BRIP1 in Breast Cancer by Exploiting Transcriptomics Data Through Bioinformatics Approaches. Bioinform Biol Insights 2021; 15:11779322211055892. [PMID: 34840500 PMCID: PMC8619737 DOI: 10.1177/11779322211055892] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 10/09/2021] [Indexed: 01/04/2023] Open
Abstract
BRIP1 (Breast Cancer 1 Interacting Helicase 1) is a tumor suppressor gene that has vital function in preserving the genetic stability by repairing DNA damage though have significant associations with the onset of breast cancer (BC) if mutated or overexpressed. In this study, the prognostic value of BRIP1 gene was evaluated and validated through bioinformatics approaches utilizing transcriptomic (mRNA expression) data from several BC databases. To determine the prognostic value, the expression level of mRNA transcript was analyzed in context of comparison between breast tumor and normal tissues regarding clinical features, breast tumor subtypes, promoter methylation status, correlation level, mutation frequency, and survival of BC patients. BRIP1 expression was found to be significantly overexpressed in various BC molecular subtypes (e.g. PAM50, Sorlie’s) and clinical status (estrogen and progesterone receptor) than associated normal tissues which correlated with prognosis. Also, in promoter methylation level, its expression was observed as upregulated-hypomethylated regarding various clinicopathological features. Multiple data mining exhibited positive correlation between BRIP1 and INTS2 (Integrator Complex Subunit 2) expressions in BC. Further, mutation analysis revealed that BRIP1 gene was altered by acquiring both somatic and germline mutations. In addition, a total of 42 mutations; 24 missense, 8 fusion, 7 truncating, and 3 inframe mutations in BC patients was detected in BRIP1 protein. Moreover, higher BRIP1 expression was found to be correlated with poor disease-specific, disease metastasis-free, relapse-free, and overall survivals of BC patients. Since, overexpression of BRIP1 was identified to be associated with different clinical features, breast tumor subtypes, promoter methylation status, and survival of BC patients that may provide a risk of ensuing malignant transformation. Thus, lower expression of BRIP1 might hinder BC prognosis. We consider that this analysis will present a proof for BRIP1 gene to be a noteworthy molecular biomarker for BC prognosis.
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Affiliation(s)
- Umama Khan
- Biotechnology & Genetic Engineering Discipline, Khulna University, Khulna, Bangladesh
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40
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Boddicker NJ, Hu C, Weitzel JN, Kraft P, Nathanson KL, Goldgar DE, Na J, Huang H, Gnanaolivu RD, Larson N, Yussuf A, Yao S, Vachon CM, Trentham-Dietz A, Teras L, Taylor JA, Scott CE, Sandler DP, Pesaran T, Patel AV, Palmer JR, Ong IM, Olson JE, O'Brien K, Neuhausen S, Martinez E, Ma H, Lindstrom S, Le Marchand L, Kooperberg C, Karam R, Hunter DJ, Hodge JM, Haiman C, Gaudet MM, Gao C, LaDuca H, Lacey JV, Dolinsky JS, Chao E, Carter BD, Burnside ES, Bertrand KA, Bernstein L, Auer PW, Ambrosone C, Yadav S, Hart SN, Polley EC, Domchek SM, Couch FJ. Risk of Late-Onset Breast Cancer in Genetically Predisposed Women. J Clin Oncol 2021; 39:3430-3440. [PMID: 34292776 PMCID: PMC8547938 DOI: 10.1200/jco.21.00531] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 05/07/2021] [Accepted: 06/29/2021] [Indexed: 12/14/2022] Open
Abstract
PURPOSE The prevalence of germline pathogenic variants (PVs) in established breast cancer predisposition genes in women in the general population over age 65 years is not well-defined. However, testing guidelines suggest that women diagnosed with breast cancer over age 65 years might have < 2.5% likelihood of a PV in a high-penetrance gene. This study aimed to establish the frequency of PVs and remaining risks of breast cancer for each gene in women over age 65 years. METHODS A total of 26,707 women over age 65 years from population-based studies (51.5% with breast cancer and 48.5% unaffected) were tested for PVs in germline predisposition gene. Frequencies of PVs and associations between PVs in each gene and breast cancer were assessed, and remaining lifetime breast cancer risks were estimated for non-Hispanic White women with PVs. RESULTS The frequency of PVs in predisposition genes was 3.18% for women with breast cancer and 1.48% for unaffected women over age 65 years. PVs in BRCA1, BRCA2, and PALB2 were found in 3.42% of women diagnosed with estrogen receptor (ER)-negative, 1.0% with ER-positive, and 3.01% with triple-negative breast cancer. Frequencies of PVs were lower among women with no first-degree relatives with breast cancer. PVs in CHEK2, PALB2, BRCA2, and BRCA1 were associated with increased risks (odds ratio = 2.9-4.0) of breast cancer. Remaining lifetime risks of breast cancer were ≥ 15% for those with PVs in BRCA1, BRCA2, and PALB2. CONCLUSION This study suggests that all women diagnosed with triple-negative breast cancer or ER-negative breast cancer should receive genetic testing and that women over age 65 years with BRCA1 and BRCA2 PVs and perhaps with PALB2 and CHEK2 PVs should be considered for magnetic resonance imaging screening.
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Affiliation(s)
| | | | | | - Peter Kraft
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | - 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
| | | | - Jie Na
- Mayo Clinic, Rochester, MN
| | - Hongyan Huang
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | | | | | | | - Song Yao
- Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | | | | | - Lauren Teras
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | | | | | | | | | - Alpa V. Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | | | | | | | | | | | | | - Huiyan Ma
- Beckman Research Institute of City of Hope, Duarte, CA
| | - Sara Lindstrom
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | | | | | | | - James M. Hodge
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | - Christopher Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Mia M. Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | - Chi Gao
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | | | | | | | | | - Brian D. Carter
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | | | | | | | - Paul W. Auer
- UWM Joseph J. Zilber School of Public Health, Milwaukee, WI
| | | | | | | | | | - 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
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41
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Flaum N, van Veen EM, Smith O, Amico S, Newman WG, Crosbie EJ, Edmondson R, Smith MJ, Evans DG. Dominant-negative pathogenic variant BRIP1 c.1045G>C is a high-risk allele for non-mucinous epithelial ovarian cancer: A case-control study. Clin Genet 2021; 101:48-54. [PMID: 34585738 DOI: 10.1111/cge.14068] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 09/16/2021] [Accepted: 09/27/2021] [Indexed: 11/28/2022]
Abstract
BRIP1 is a moderate susceptibility epithelial ovarian cancer (EOC) gene. Having identified the BRIP1 c.1045G>C missense variant in a number of families with EOC, we aimed to investigate the frequency of this and BRIP1.2392C>T pathogenic variant in patients with breast cancer (BC) and/or EOC. A case-control study of 3767 cases and 2043 controls was undertaken investigating the presence of these variants using Sanger sequencing and gene panel data. Individuals with BC and/or EOC were grouped by family history. BRIP1 c.1045G>C was associated with increased risk of BC/EOC (OR = 37.7; 95% CI 5.3-444.2; P = 0.0001). The risk was highest for women with EOC (OR = 140.8; 95% CI 23.5-1723.0; P < 0.0001) and lower for BC (OR = 11.1; 95% CI 1.2-106.5; P = 0.1588). BRIP1 c.2392C>T was associated with smaller risks for BC/EOC (OR = 5.4; 95%CI 2.4-12.7; P = 0.0003), EOC (OR = 5.9; 95% CI 1.3-23.0; p = 0.0550) and BC (OR = 5.3; 95%CI 2.3-12.9; P = 0.0009). Our study highlights the importance of BRIP1 as an EOC susceptibility gene, especially in familial EOC. The variant BRIP1 c.1045G>C, rs149364097, is of particular interest as its dominant-negative effect may confer a higher risk of EOC than that of the previously reported BRIP1 c.2392C>T nonsense variant. Dominant-negative missense variants may confer higher risks than their loss-of-function counterparts.
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Affiliation(s)
- Nicola Flaum
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Elke M van Veen
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Olivia Smith
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Stephanie Amico
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - William G Newman
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Emma J Crosbie
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Richard Edmondson
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Miriam J Smith
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK.,Prevention Breast Cancer Centre and Nightingale Breast Screening Centre, University Hospital of South Manchester, Manchester, UK.,The Christie NHS Foundation Trust, Manchester, UK.,Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
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42
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Łukasiewicz S, Czeczelewski M, Forma A, Baj J, Sitarz R, Stanisławek A. Breast Cancer-Epidemiology, Risk Factors, Classification, Prognostic Markers, and Current Treatment Strategies-An Updated Review. Cancers (Basel) 2021; 13:cancers13174287. [PMID: 34503097 PMCID: PMC8428369 DOI: 10.3390/cancers13174287] [Citation(s) in RCA: 516] [Impact Index Per Article: 172.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 08/19/2021] [Accepted: 08/23/2021] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Breast cancer is the most common cancer among women. It is estimated that 2.3 million new cases of BC are diagnosed globally each year. Based on mRNA gene expression levels, BC can be divided into molecular subtypes that provide insights into new treatment strategies and patient stratifications that impact the management of BC patients. This review addresses the overview on the BC epidemiology, risk factors, classification with an emphasis on molecular types, prognostic biomarkers, as well as possible treatment modalities. Abstract Breast cancer (BC) is the most frequently diagnosed cancer in women worldwide with more than 2 million new cases in 2020. Its incidence and death rates have increased over the last three decades due to the change in risk factor profiles, better cancer registration, and cancer detection. The number of risk factors of BC is significant and includes both the modifiable factors and non-modifiable factors. Currently, about 80% of patients with BC are individuals aged >50. Survival depends on both stage and molecular subtype. Invasive BCs comprise wide spectrum tumors that show a variation concerning their clinical presentation, behavior, and morphology. Based on mRNA gene expression levels, BC can be divided into molecular subtypes (Luminal A, Luminal B, HER2-enriched, and basal-like). The molecular subtypes provide insights into new treatment strategies and patient stratifications that impact the management of BC patients. The eighth edition of TNM classification outlines a new staging system for BC that, in addition to anatomical features, acknowledges biological factors. Treatment of breast cancer is complex and involves a combination of different modalities including surgery, radiotherapy, chemotherapy, hormonal therapy, or biological therapies delivered in diverse sequences.
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Affiliation(s)
- Sergiusz Łukasiewicz
- Department of Surgical Oncology, Center of Oncology of the Lublin Region St. Jana z Dukli, 20-091 Lublin, Poland; (S.Ł.); (A.S.)
| | - Marcin Czeczelewski
- Department of Forensic Medicine, Medical University of Lublin, 20-090 Lublin, Poland; (M.C.); (A.F.)
| | - Alicja Forma
- Department of Forensic Medicine, Medical University of Lublin, 20-090 Lublin, Poland; (M.C.); (A.F.)
| | - Jacek Baj
- Department of Human Anatomy, Medical University of Lublin, 20-090 Lublin, Poland;
| | - Robert Sitarz
- Department of Surgical Oncology, Center of Oncology of the Lublin Region St. Jana z Dukli, 20-091 Lublin, Poland; (S.Ł.); (A.S.)
- Department of Human Anatomy, Medical University of Lublin, 20-090 Lublin, Poland;
- Correspondence:
| | - Andrzej Stanisławek
- Department of Surgical Oncology, Center of Oncology of the Lublin Region St. Jana z Dukli, 20-091 Lublin, Poland; (S.Ł.); (A.S.)
- Department of Oncology, Chair of Oncology and Environmental Health, Medical University of Lublin, 20-081 Lublin, Poland
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43
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Vaidyanathan A, Kaklamani V. Understanding the Clinical Implications of Low Penetrant Genes and Breast Cancer Risk. Curr Treat Options Oncol 2021; 22:85. [PMID: 34424438 DOI: 10.1007/s11864-021-00887-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/30/2021] [Indexed: 10/20/2022]
Abstract
OPINION STATEMENT Since the 2013 Supreme Court declaration, panel testing for hereditary cancer syndromes has evolved into the gold standard for oncology germline genetic testing. With the advent of next-generation sequencing, competitive pricing, and developing therapeutic options, panel testing is now well integrated into breast cancer management and surveillance. Although many established syndromes have well-defined cancer risks and management strategies, several breast cancer genes are currently classified as limited-evidence genes by the National Comprehensive Cancer Network (NCCN). Follow-up for individuals with mutations in these genes is a point of contention due to conflicting information in the literature. The most recent NCCN guidelines have stratified management based on gene-specific cancer risks indicating that expanding data will allow for better recommendations as research progresses. The evolving management for these genes emphasizes the clinicians' need for evidence-based understanding of low penetrance breast cancer genes and their implications for patient care. This article reviews current literature for limited evidence genes, detailing cancer risks, association with triple-negative breast cancer, and recommendations for surveillance. A brief review of the challenges and future directions is outlined to discuss the evolving nature of cancer genetics and the exciting opportunities that can impact management.
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Affiliation(s)
- Anusha Vaidyanathan
- UT Health Science Center San Antonio, 7979 Wurzbach Road, San Antonio, TX, 79229, USA.
| | - Virginia Kaklamani
- UT Health Science Center San Antonio, 7979 Wurzbach Road, San Antonio, TX, 79229, USA
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44
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Gianni P, Matenoglou E, Geropoulos G, Agrawal N, Adnani H, Zafeiropoulos S, Miyara SJ, Guevara S, Mumford JM, Molmenti EP, Giannis D. The Fanconi anemia pathway and Breast Cancer: A comprehensive review of clinical data. Clin Breast Cancer 2021; 22:10-25. [PMID: 34489172 DOI: 10.1016/j.clbc.2021.08.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 07/17/2021] [Accepted: 08/05/2021] [Indexed: 02/08/2023]
Abstract
The development of breast cancer depends on several risk factors, including environmental, lifestyle and genetic factors. Despite the evolution of DNA sequencing techniques and biomarker detection, the epidemiology and mechanisms of various breast cancer susceptibility genes have not been elucidated yet. Dysregulation of the DNA damage response causes genomic instability and increases the rate of mutagenesis and the risk of carcinogenesis. The Fanconi Anemia (FA) pathway is an important component of the DNA damage response and plays a critical role in the repair of DNA interstrand crosslinks and genomic stability. The FA pathway involves 22 recognized genes and specific mutations have been identified as the underlying defect in the majority of FA patients. A thorough understanding of the function and epidemiology of these genes in breast cancer is critical for the development and implementation of individualized therapies that target unique tumor profiles. Targeted therapies (PARP inhibitors) exploiting the FA pathway gene defects have been developed and have shown promising results. This narrative review summarizes the current literature on the involvement of FA genes in sporadic and familial breast cancer with a focus on clinical data derived from large cohorts.
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Affiliation(s)
- Panagiota Gianni
- Department of Internal Medicine III, Hematology, Oncology, Palliative Medicine, Rheumatology and Infectious Diseases, University Hospital Ulm, Germany
| | - Evangelia Matenoglou
- Medical School, Aristotle University of Thessaloniki, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Georgios Geropoulos
- Thoracic Surgery Department, University College London Hospitals NHS Foundation Trust, London
| | - Nirav Agrawal
- Feinstein Institutes for Medical Research at Northwell Health, Manhasset, New York, NY
| | - Harsha Adnani
- Feinstein Institutes for Medical Research at Northwell Health, Manhasset, New York, NY
| | - Stefanos Zafeiropoulos
- Feinstein Institutes for Medical Research at Northwell Health, Manhasset, New York, NY; Elmezzi Graduate School of Molecular Medicine, Northwell Health, Manhasset, New York, NY
| | - Santiago J Miyara
- Feinstein Institutes for Medical Research at Northwell Health, Manhasset, New York, NY; Elmezzi Graduate School of Molecular Medicine, Northwell Health, Manhasset, New York, NY
| | - Sara Guevara
- Department of Surgery, North Shore University Hospital, Manhasset, New York, NY
| | - James M Mumford
- Department of Family Medicine, Glen Cove Hospital, Glen Cove, New York, NY; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, NY
| | - Ernesto P Molmenti
- Feinstein Institutes for Medical Research at Northwell Health, Manhasset, New York, NY; Department of Surgery, North Shore University Hospital, Manhasset, New York, NY; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, NY
| | - Dimitrios Giannis
- Feinstein Institutes for Medical Research at Northwell Health, Manhasset, New York, NY.
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Comprehensive germline-genomic and clinical profiling in 160 unselected children and adolescents with cancer. Eur J Hum Genet 2021; 29:1301-1311. [PMID: 33840814 PMCID: PMC8385053 DOI: 10.1038/s41431-021-00878-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/05/2021] [Accepted: 03/25/2021] [Indexed: 02/02/2023] Open
Abstract
In childhood cancer, the frequency of cancer-associated germline variants and their inheritance patterns are not thoroughly investigated. Moreover, the identification of children carrying a genetic predisposition by clinical means remains challenging. In this single-center study, we performed trio whole-exome sequencing and comprehensive clinical evaluation of a prospectively enrolled cohort of 160 children with cancer and their parents. We identified in 11/160 patients a pathogenic germline variant predisposing to cancer and a further eleven patients carried a prioritized VUS with a strong association to the cancerogenesis of the patient. Through clinical screening, 51 patients (31.3%) were identified as suspicious for an underlying cancer predisposition syndrome (CPS), but only in ten of those patients a pathogenic variant could be identified. In contrast, one patient with a classical CPS and ten patients with prioritized VUS were classified as unremarkable in the clinical work-up. Taken together, a monogenetic causative variant was detected in 13.8% of our patients using WES. Nevertheless, the still unclarified clinical suspicious cases emphasize the need to consider other genetic mechanisms including new target genes, structural variants, or polygenic interactions not previously associated with cancer predisposition.
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46
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The Genetic Analyses of French Canadians of Quebec Facilitate the Characterization of New Cancer Predisposing Genes Implicated in Hereditary Breast and/or Ovarian Cancer Syndrome Families. Cancers (Basel) 2021; 13:cancers13143406. [PMID: 34298626 PMCID: PMC8305212 DOI: 10.3390/cancers13143406] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 12/19/2022] Open
Abstract
The French Canadian population of the province of Quebec has been recognized for its contribution to research in medical genetics, especially in defining the role of heritable pathogenic variants in cancer predisposing genes. Multiple carriers of a limited number of pathogenic variants in BRCA1 and BRCA2, the major risk genes for hereditary breast and/or ovarian cancer syndrome families, have been identified in French Canadians, which is in stark contrast to the array of over 2000 different pathogenic variants reported in each of these genes in other populations. As not all such cancer syndrome families are explained by BRCA1 and BRCA2, newly proposed gene candidates identified in other populations have been investigated for their role in conferring risk in French Canadian cancer families. For example, multiple carriers of distinct variants were identified in PALB2 and RAD51D. The unique genetic architecture of French Canadians has been attributed to shared ancestry due to common ancestors of early settlers of this population with origins mainly from France. In this review, we discuss the merits of genetically characterizing cancer predisposing genes in French Canadians of Quebec. We focused on genes that have been implicated in hereditary breast and/or ovarian cancer syndrome families as they have been the most thoroughly characterized cancer syndromes in this population. We describe how genetic analyses of French Canadians have facilitated: (i) the classification of variants in BRCA1 and BRCA2; (ii) the identification and classification of variants in newly proposed breast and/or ovarian cancer predisposing genes; and (iii) the identification of a new breast cancer predisposing gene candidate, RECQL. The genetic architecture of French Canadians provides a unique opportunity to evaluate new candidate cancer predisposing genes regardless of the population in which they were identified.
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47
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Muhseena N K, Mathukkada S, Das SP, Laha S. The repair gene BACH1 - a potential oncogene. Oncol Rev 2021; 15:519. [PMID: 34322202 PMCID: PMC8273628 DOI: 10.4081/oncol.2021.519] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 03/02/2021] [Indexed: 12/12/2022] Open
Abstract
BACH1 encodes for a protein that belongs to RecQ DEAH helicase family and interacts with the BRCT repeats of BRCA1. The N-terminus of BACH1 functions in DNA metabolism as DNA-dependent ATPase and helicase. The C-terminus consists of BRCT domain, which interacts with BRCA1 and this interaction is one of the major regulator of BACH1 function. BACH1 plays important roles both in phosphorylated as well as dephosphorylated state and functions in coordination with multiple signaling molecules. The active helicase property of BACH1 is maintained by its dephosphorylated state. Imbalance between these two states enhances the development and progression of the diseased condition. Currently BACH1 is known as a tumor suppressor gene based on the presence of its clinically relevant mutations in different cancers. Through this review we have justified it to be named as an oncogene. In this review, we have explained the mechanism of how BACH1 in collaboration with BRCA1 or independently regulates various pathways like cell cycle progression, DNA replication during both normal and stressed situation, recombination and repair of damaged DNA, chromatin remodeling and epigenetic modifications. Mutation and overexpression of BACH1 are significantly found in different cancer types. This review enlists the molecular players which interact with BACH1 to regulate DNA metabolic functions, thereby revealing its potential for cancer therapeutics. We have identified the most mutated functional domain of BACH1, the hot spot for tumorigenesis, justifying it as a target molecule in different cancer types for therapeutics. BACH1 has high potentials of transforming a normal cell into a tumor cell if compromised under certain circumstances. Thus, through this review, we justify BACH1 as an oncogene along with the existing role of being a tumor suppressant.
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Affiliation(s)
- Katheeja Muhseena N
- Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India
| | - Sooraj Mathukkada
- Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India
| | - Shankar Prasad Das
- Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India
| | - Suparna Laha
- Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India
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48
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Chan KK, Abdul-Sater Z, Sheth A, Mitchell DK, Sharma R, Edwards DM, He Y, Nalepa G, Rhodes SD, Clapp DW, Sierra Potchanant EA. SIK2 kinase synthetic lethality is driven by spindle assembly defects in FANCA-deficient cells. Mol Oncol 2021; 16:860-884. [PMID: 34058059 PMCID: PMC8847993 DOI: 10.1002/1878-0261.13027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 05/05/2021] [Accepted: 05/28/2021] [Indexed: 11/10/2022] Open
Abstract
The Fanconi anemia (FA) pathway safeguards genomic stability through cell cycle regulation and DNA damage repair. The canonical tumor suppressive role of FA proteins in the repair of DNA damage during interphase is well established, but their function in mitosis is incompletely understood. Here, we performed a kinome-wide synthetic lethality screen in FANCA-/- fibroblasts, which revealed multiple mitotic kinases as necessary for survival of FANCA-deficient cells. Among these kinases, we identified the depletion of the centrosome kinase SIK2 as synthetic lethal upon loss of FANCA. We found that FANCA colocalizes with SIK2 at multiple mitotic structures and regulates the activity of SIK2 at centrosomes. Furthermore, we found that loss of FANCA exacerbates cell cycle defects induced by pharmacological inhibition of SIK2, including impaired G2-M transition, delayed mitotic progression, and cytokinesis failure. In addition, we showed that inhibition of SIK2 abrogates nocodazole-induced prometaphase arrest, suggesting a novel role for SIK2 in the spindle assembly checkpoint. Together, these findings demonstrate that FANCA-deficient cells are dependent upon SIK2 for survival, supporting a preclinical rationale for targeting of SIK2 in FA-disrupted cancers.
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Affiliation(s)
- Ka-Kui Chan
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Zahi Abdul-Sater
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Aditya Sheth
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Dana K Mitchell
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Richa Sharma
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Donna M Edwards
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ying He
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Grzegorz Nalepa
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA.,Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.,Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Steven D Rhodes
- Division of Pediatric Hematology-Oncology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - D Wade Clapp
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA.,Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.,Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
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49
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Nguyen-Dumont T, Stewart J, Winship I, Southey MC. Rare genetic variants: making the connection with breast cancer susceptibility. AIMS GENETICS 2021. [DOI: 10.3934/genet.2015.4.281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
AbstractThe practice of clinical genetics in the context of breast cancer predisposition has reached another critical point in its evolution. For the past two decades, genetic testing offered to women attending clinics has been limited to BRCA1 and BRCA2 unless other syndromic indicators have been evident (e.g. PTEN and TP53 for Cowden and Li-Fraumeni syndrome, respectively). Women (and their families) who are concerned about their personal and/or family history of breast and ovarian cancer have enthusiastically engaged with clinical genetics services, anticipating a genetic cause for their cancer predisposition will be identified and to receive clinical guidance for their risk management and treatment options. Genetic testing laboratories have demonstrated similar enthusiasm for transitioning from single gene to gene panel testing that now provide opportunities for the large number of women found not to carry mutations in BRCA1 and BRCA2, enabling them to undergo additional genetic testing. However, these panel tests have limited clinical utility until more is understood about the cancer risks (if any) associated with the genetic variation observed in the genes included on these panels. New data is urgently needed to improve the interpretation of the genetic variation data that is already reported from these panels and to inform the selection of genes included in gene panel tests in the future. To address this issue, large internationally coordinated research studies are required to provide the evidence-base from which clinical genetics for breast cancer susceptibility can be practiced in the era of gene panel testing and oncogenetic practice.Two significant steps associated with this process include i) validating the genes on these panels (and those likely to be added in the future) as bona fide1
breast cancer predisposition genes and ii) interpreting the variation, on a variant-by-variant basis in terms of their likely “pathogenicity”—a process commonly referred to as “variant classification” that will enable this new genetic information to be used at an individual level in clinical genetics services. Neither of these fundamental steps have been achieved for the majority of genes included on the panels.We are thus at a critical point for translational research in breast cancer clinical genetics—how can rare genetic variants be interpreted such that they can be used in clinical genetics services and oncogenetic practice to identify and to inform the management of families that carry these variants?
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Affiliation(s)
- Tú Nguyen-Dumont
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Victoria, 3010, Australia and The Royal Melbourne Hospital, Parkville, Victoria, 3050, Australia
| | - Jenna Stewart
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Victoria, 3010, Australia and The Royal Melbourne Hospital, Parkville, Victoria, 3050, Australia
| | - Ingrid Winship
- Department of Medicine, The University of Melbourne, Victoria, 3010, Australia and The Royal Melbourne Hospital, Parkville, Victoria, 3050, Australia
| | - Melissa C. Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Victoria, 3010, Australia and The Royal Melbourne Hospital, Parkville, Victoria, 3050, Australia
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50
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Doddato G, Valentino F, Giliberti A, Papa FT, Tita R, Bruno LP, Resciniti S, Fallerini C, Benetti E, Palmieri M, Mencarelli MA, Fabbiani A, Bruttini M, Orrico A, Baldassarri M, Fava F, Lopergolo D, Lo Rizzo C, Lamacchia V, Mannucci S, Pinto AM, Currò A, Mancini V, Mari F, Renieri A, Ariani F. Exome sequencing in BRCA1-2 candidate familias: the contribution of other cancer susceptibility genes. Front Oncol 2021; 11:649435. [PMID: 34026625 PMCID: PMC8139251 DOI: 10.3389/fonc.2021.649435] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 04/06/2021] [Indexed: 12/14/2022] Open
Abstract
Hereditary Breast and Ovarian Cancer (HBOC) syndrome is a condition in which the risk of breast and ovarian cancer is higher than in the general population. The prevalent pathogenesis is attributable to inactivating variants of the BRCA1-2 highly penetrant genes, however, other cancer susceptibility genes may also be involved. By Exome Sequencing (WES) we analyzed a series of 200 individuals selected for genetic testing in BRCA1-2 genes according to the updated National Comprehensive Cancer Network (NCCN) guidelines. Analysis by MLPA was performed to detect large BRCA1-2 deletions/duplications. Focusing on BRCA1-2 genes, data analysis identified 11 cases with pathogenic variants (4 in BRCA1 and 7 in BRCA1-2) and 12 with uncertain variants (7 in BRCA1 and 5 in BRCA2). Only one case was found with a large BRCA1 deletion. Whole exome analysis allowed to characterize pathogenic variants in 21 additional genes: 10 genes more traditionally associated to breast and ovarian cancer (ATM, BRIP1, CDH1, PALB2, PTEN, RAD51C, and TP53) (5% diagnostic yield) and 11 in candidate cancer susceptibility genes (DPYD, ERBB3, ERCC2, MUTYH, NQO2, NTHL1, PARK2, RAD54L, and RNASEL). In conclusion, this study allowed a personalized risk assessment and clinical surveillance in an increased number of HBOC families and to broaden the spectrum of causative variants also to candidate non-canonical genes.
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Affiliation(s)
- Gabriella Doddato
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Floriana Valentino
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Annarita Giliberti
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Filomena Tiziana Papa
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Rossella Tita
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Lucia Pia Bruno
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Sara Resciniti
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Chiara Fallerini
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Elisa Benetti
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Maria Palmieri
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | | | - Alessandra Fabbiani
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Mirella Bruttini
- Medical Genetics, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Alfredo Orrico
- Molecular Diagnosis and Characterization of Pathogenic Mechanisms of Rare Genetic Diseases, Azienda Ospedaliera Universitaria Senese and Clinical Genetics, ASL Toscana SudEst. Ospedale della Misericordia, Grosseto, Italy
| | - Margherita Baldassarri
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Francesca Fava
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Diego Lopergolo
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Caterina Lo Rizzo
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Vittoria Lamacchia
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Sara Mannucci
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Anna Maria Pinto
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Aurora Currò
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Virginia Mancini
- Unit of Pathology, Department of Medical Biotechnology, University of Siena, Siena, Italy
| | - Francesca Mari
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Alessandra Renieri
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Francesca Ariani
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
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