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Rowlands CF, Taylor A, Rice G, Whiffin N, Hall HN, Newman WG, Black GCM, O'Keefe RT, Hubbard S, Douglas AGL, Baralle D, Briggs TA, Ellingford JM. MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease. Am J Hum Genet 2022; 109:210-222. [PMID: 35065709 PMCID: PMC8874219 DOI: 10.1016/j.ajhg.2021.12.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 12/12/2021] [Indexed: 12/16/2022] Open
Abstract
Variable levels of gene expression between tissues complicates the use of RNA sequencing of patient biosamples to delineate the impact of genomic variants. Here, we describe a gene- and tissue-specific metric to inform the feasibility of RNA sequencing. This overcomes limitations of using expression values alone as a metric to predict RNA-sequencing utility. We have derived a metric, minimum required sequencing depth (MRSD), that estimates the depth of sequencing required from RNA sequencing to achieve user-specified sequencing coverage of a gene, transcript, or group of genes. We applied MRSD across four human biosamples: whole blood, lymphoblastoid cell lines (LCLs), skeletal muscle, and cultured fibroblasts. MRSD has high precision (90.1%-98.2%) and overcomes transcript region-specific sequencing biases. Applying MRSD scoring to established disease gene panels shows that fibroblasts, of these four biosamples, are the optimum source of RNA for 63.1% of gene panels. Using this approach, up to 67.8% of the variants of uncertain significance in ClinVar that are predicted to impact splicing could be assayed by RNA sequencing in at least one of the biosamples. We demonstrate the utility and benefits of MRSD as a metric to inform functional assessment of splicing aberrations, in particular in the context of Mendelian genetic disorders to improve diagnostic yield.
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Affiliation(s)
- Charlie F Rowlands
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK; Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
| | - Algy Taylor
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
| | - Gillian Rice
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Nicola Whiffin
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Hildegard Nikki Hall
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - William G Newman
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK; Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
| | - Graeme C M Black
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK; Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
| | - Raymond T O'Keefe
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Simon Hubbard
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Andrew G L Douglas
- Wessex Clinical Genetics Service, Princess Anne Hospital, University Hospital Southampton NHS Foundation Trust, Coxford Rd, Southampton SO16 5YA, UK; Faculty of Medicine, University of Southampton, Duthie Building, Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK
| | - Diana Baralle
- Wessex Clinical Genetics Service, Princess Anne Hospital, University Hospital Southampton NHS Foundation Trust, Coxford Rd, Southampton SO16 5YA, UK; Faculty of Medicine, University of Southampton, Duthie Building, Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK
| | - Tracy A Briggs
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK; Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
| | - Jamie M Ellingford
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK; Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK.
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2
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VTRNA2-1: Genetic Variation, Heritable Methylation and Disease Association. Int J Mol Sci 2021; 22:ijms22052535. [PMID: 33802562 PMCID: PMC7961504 DOI: 10.3390/ijms22052535] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 02/24/2021] [Accepted: 02/25/2021] [Indexed: 12/28/2022] Open
Abstract
VTRNA2-1 is a metastable epiallele with accumulating evidence that methylation at this region is heritable, modifiable and associated with disease including risk and progression of cancer. This study investigated the influence of genetic variation and other factors such as age and adult lifestyle on blood DNA methylation in this region. We first sequenced the VTRNA2-1 gene region in multiple-case breast cancer families in which VTRNA2-1 methylation was identified as heritable and associated with breast cancer risk. Methylation quantitative trait loci (mQTL) were investigated using a prospective cohort study (4500 participants with genotyping and methylation data). The cis-mQTL analysis (334 variants ± 50 kb of the most heritable CpG site) identified 43 variants associated with VTRNA2-1 methylation (p < 1.5 × 10−4); however, these explained little of the methylation variation (R2 < 0.5% for each of these variants). No genetic variants elsewhere in the genome were found to strongly influence VTRNA2-1 methylation. SNP-based heritability estimates were consistent with the mQTL findings (h2 = 0, 95%CI: −0.14 to 0.14). We found no evidence that age, sex, country of birth, smoking, body mass index, alcohol consumption or diet influenced blood DNA methylation at VTRNA2-1. Genetic factors and adult lifestyle play a minimal role in explaining methylation variability at the heritable VTRNA2-1 cluster.
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Devereux L, Watson PH, Mes-Masson AM, Luna-Crespo F, Thomas G, Pitman H, Speirs V, Hall AG, Bollinger N, Posada M, Lochmüller H, Thorne H, Eng CB, Riegman PH, Ng W, Parry-Jones A. A Review of International Biobanks and Networks: Success Factors and Key Benchmarks—A 10-Year Retrospective Review. Biopreserv Biobank 2019; 17:512-519. [DOI: 10.1089/bio.2019.29060.djc.si] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Lisa Devereux
- Lifepool and CASCADE-BROCADE, Sir Peter MacCallum Department of Oncology, University of Melbourne, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Peter H. Watson
- Office of Biobank Education and Research, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
- Biobanking and Biospecimen Research Services, Deeley Research Centre, BC Cancer Victoria Center, British Columbia, Canada
| | - Anne-Marie Mes-Masson
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Institut du cancer de Montréal, Department of Medicine, Université de Montréal, Montreal, Canada
| | | | | | - Helen Pitman
- National Cancer Research Institute, London, United Kingdom
| | | | - Andrew G. Hall
- University of Newcastle, Newcastle upon Tyne, United Kingdom
| | - Nicole Bollinger
- CHTN Central Coordinator, Cooperative Human Tissue Network (CHTN), Rockville, Maryland
| | - Manuel Posada
- Director of the Institute of Rare Diseases Research, Director of the Spanish National Rare Diseases Biobank, Coordinator of EuroBioBank, President of the International Conference on Rare Diseases and Orphan Drugs (ICORD), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Heather Thorne
- kConFab National Manager, Research Department, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Chon Boon Eng
- The National University of Singapore, Singapore, Singapore
| | - Peter H.J. Riegman
- Head Erasmus MC Tissue Bank, Erasmus MC Rotterdam, Rotterdam, The Netherlands
| | - Wayne Ng
- Victoria Cancer Biobank, Melbourne, Australia
| | - Alison Parry-Jones
- Cardiff University School of Medicine, College of Biomedical and Life Sciences, Cardiff, United Kingdom
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4
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Zeinomar N, Knight JA, Genkinger JM, Phillips KA, Daly MB, Milne RL, Dite GS, Kehm RD, Liao Y, Southey MC, Chung WK, Giles GG, McLachlan SA, Friedlander ML, Weideman PC, Glendon G, Nesci S, Andrulis IL, Buys SS, John EM, MacInnis RJ, Hopper JL, Terry MB. Alcohol consumption, cigarette smoking, and familial breast cancer risk: findings from the Prospective Family Study Cohort (ProF-SC). Breast Cancer Res 2019; 21:128. [PMID: 31779655 PMCID: PMC6883541 DOI: 10.1186/s13058-019-1213-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 10/15/2019] [Indexed: 12/20/2022] Open
Abstract
Background Alcohol consumption and cigarette smoking are associated with an increased risk of breast cancer (BC), but it is unclear whether these associations vary by a woman’s familial BC risk. Methods Using the Prospective Family Study Cohort, we evaluated associations between alcohol consumption, cigarette smoking, and BC risk. We used multivariable Cox proportional hazard models to estimate hazard ratios (HR) and 95% confidence intervals (CI). We examined whether associations were modified by familial risk profile (FRP), defined as the 1-year incidence of BC predicted by Breast Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), a pedigree-based algorithm. Results We observed 1009 incident BC cases in 17,435 women during a median follow-up of 10.4 years. We found no overall association of smoking or alcohol consumption with BC risk (current smokers compared with never smokers HR 1.02, 95% CI 0.85–1.23; consuming ≥ 7 drinks/week compared with non-regular drinkers HR 1.10, 95% CI 0.92–1.32), but we did observe differences in associations based on FRP and by estrogen receptor (ER) status. Women with lower FRP had an increased risk of ER-positive BC associated with consuming ≥ 7 drinks/week (compared to non-regular drinkers), whereas there was no association for women with higher FRP. For example, women at the 10th percentile of FRP (5-year BOADICEA = 0.15%) had an estimated HR of 1.46 (95% CI 1.07–1.99), whereas there was no association for women at the 90th percentile (5-year BOADICEA = 4.2%) (HR 1.07, 95% CI 0.80–1.44). While the associations with smoking were not modified by FRP, we observed a positive multiplicative interaction by FRP (pinteraction = 0.01) for smoking status in women who also consumed alcohol, but not in women who were non-regular drinkers. Conclusions Moderate alcohol intake was associated with increased BC risk, particularly for women with ER-positive BC, but only for those at lower predicted familial BC risk (5-year BOADICEA < 1.25). For women with a high FRP (5-year BOADICEA ≥ 6.5%) who also consumed alcohol, being a current smoker was associated with increased BC risk.
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Affiliation(s)
- Nur Zeinomar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jeanine M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Rebecca D Kehm
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA
| | - Yuyan Liao
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.,Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
| | - Wendy K Chung
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.,Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Sue-Anne McLachlan
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Parkville, Victoria, Australia.,Department of Medical Oncology, St Vincent's Hospital, Fitzroy, Victoria, Australia
| | - Michael L Friedlander
- Prince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Medical Oncology, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Prue C Weideman
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.,Departments of Molecular Genetics and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Saundra S Buys
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, UT, USA
| | - Esther M John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA. .,Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
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5
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Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation. Cancers (Basel) 2019; 11:cancers11040522. [PMID: 31013702 PMCID: PMC6520942 DOI: 10.3390/cancers11040522] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 03/13/2019] [Accepted: 03/30/2019] [Indexed: 12/24/2022] Open
Abstract
Genetic testing allows for the identification of germline DNA variations, which are associated with a significant increase in the risk of developing breast cancer (BC) and ovarian cancer (OC). Detection of a BRCA1 or BRCA2 pathogenic variant triggers several clinical management actions, which may include increased surveillance and prophylactic surgery for healthy carriers or treatment with the PARP inhibitor therapy for carriers diagnosed with cancer. Thus, standardized validated criteria for the annotation of BRCA1 and BRCA2 variants according to their pathogenicity are necessary to support clinical decision-making and ensure improved outcomes. Upon detection, variants whose pathogenicity can be inferred by the genetic code are typically classified as pathogenic, likely pathogenic, likely benign, or benign. Variants whose impact on function cannot be directly inferred by the genetic code are labeled as variants of uncertain clinical significance (VUS) and are evaluated by multifactorial likelihood models that use personal and family history of cancer, segregation data, prediction tools, and co-occurrence with a pathogenic BRCA variant. Missense variants, coding alterations that replace a single amino acid residue with another, are a class of variants for which determination of clinical relevance is particularly challenging. Here, we discuss current issues in the missense variant classification by following a typical life cycle of a BRCA1 missense variant through detection, annotation and information dissemination. Advances in massively parallel sequencing have led to a substantial increase in VUS findings. Although the comprehensive assessment and classification of missense variants according to their pathogenicity remains the bottleneck, new developments in functional analysis, high throughput assays, data sharing, and statistical models are rapidly changing this scenario.
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6
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Zeinomar N, Phillips KA, Daly MB, Milne RL, Dite GS, MacInnis RJ, Liao Y, Kehm RD, Knight JA, Southey MC, Chung WK, Giles GG, McLachlan SA, Friedlander ML, Weideman PC, Glendon G, Nesci S, Andrulis IL, Buys SS, John EM, Hopper JL, Terry MB. Benign breast disease increases breast cancer risk independent of underlying familial risk profile: Findings from a Prospective Family Study Cohort. Int J Cancer 2019; 145:370-379. [PMID: 30725480 DOI: 10.1002/ijc.32112] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 11/28/2018] [Accepted: 12/12/2018] [Indexed: 12/30/2022]
Abstract
Benign breast disease (BBD) is an established breast cancer (BC) risk factor, but it is unclear whether the magnitude of the association applies to women at familial or genetic risk. This information is needed to improve BC risk assessment in clinical settings. Using the Prospective Family Study Cohort, we used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of BBD with BC risk. We also examined whether the association with BBD differed by underlying familial risk profile (FRP), calculated using absolute risk estimates from the Breast Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) model. During 176,756 person-years of follow-up (median: 10.9 years, maximum: 23.7) of 17,154 women unaffected with BC at baseline, we observed 968 incident cases of BC. A total of 4,704 (27%) women reported a history of BBD diagnosis at baseline. A history of BBD was associated with a greater risk of BC: HR = 1.31 (95% CI: 1.14-1.50), and did not differ by underlying FRP, with HRs of 1.35 (95% CI: 1.11-1.65), 1.26 (95% CI: 1.00-1.60), and 1.40 (95% CI: 1.01-1.93), for categories of full-lifetime BOADICEA score <20%, 20 to <35%, ≥35%, respectively. There was no difference in the association for women with BRCA1 mutations (HR: 1.64; 95% CI: 1.04-2.58), women with BRCA2 mutations (HR: 1.34; 95% CI: 0.78-2.3) or for women without a known BRCA1 or BRCA2 mutation (HR: 1.31; 95% CI: 1.13-1.53) (pinteraction = 0.95). Women with a history of BBD have an increased risk of BC that is independent of, and multiplies, their underlying familial and genetic risk.
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Affiliation(s)
- Nur Zeinomar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.,Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.,Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.,Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Yuyan Liao
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Rebecca D Kehm
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia
| | - Wendy K Chung
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY.,Department of Pediatrics and Medicine, Columbia University, New York, NY
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.,Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Sue-Anne McLachlan
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Parkville, VIC, Australia.,Department of Medical Oncology, St Vincent's Hospital, Fitzroy, VIC, Australia
| | - Michael L Friedlander
- Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia.,Department of Medical Oncology, Prince of Wales Hospital, Randwick, NSW, Australia
| | - Prue C Weideman
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
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- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,The Research Department, The Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Departments of Molecular Genetics and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Saundra S Buys
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, UT
| | - Esther M John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.,Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY
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Butow P, Price M, Coll J, Tucker K, Meiser B, Milne R, Wilson J, Heiniger L, Baylock B, Bullen T, Weideman P, Phillips KA. Does stress increase risk of breast cancer? A 15-year prospective study. Psychooncology 2018; 27:1908-1914. [PMID: 29677398 DOI: 10.1002/pon.4740] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 03/22/2018] [Accepted: 04/09/2018] [Indexed: 11/10/2022]
Abstract
OBJECTIVE The possible impact of stress on cancer incidence remains controversial. We prospectively evaluated associations between life event stressors, social support, personality characteristics (optimism, anger control, antiemotionality), and risk of developing primary breast cancer (BCa), in women at increased familial risk of BCa. METHODS A prospective cohort, repeated measures design was used. Recruitment was through the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer, which collects genetic, epidemiological, and clinical data from Australasian families with multiple BCa cases. Acute and chronic stressors for the prior 3 years and psychosocial, clinical, and epidemiological variables were measured at cohort entry and at 3-yearly intervals. Cox proportional hazard regression analysis controlling for BCa risk factors and familial clustering was undertaken. The primary outcome was histopathologically confirmed BCa (invasive or ductal carcinoma in situ, including occult cases diagnosed during risk-reducing mastectomy). RESULTS Of 3595 consecutive women invited to participate, 3054 (85.0%) consented. Of these, 2739 (89.7%) from 990 families (range 1-16 per family) completed at least 1 assessment point. During the study, 103 women were diagnosed with BCa. No stressor or psychosocial variable or interaction between them was significantly associated with BCa in unadjusted or adjusted models (total acute stressors HR = 1.03 [0.99-1.08], P = .19; total chronic stressors HR = 1.0 [0.90-1.11], P = .98). CONCLUSIONS This study did not demonstrate an association between acute and chronic stressors, social support, optimism, antiemotionality or anger control, and BCa risk. Women should focus on proven methods of BCa risk reduction.
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Affiliation(s)
- Phyllis Butow
- Centre for Medical Psychology and Evidence-Based Decision-Making (CeMPED), Lifehouse Level 6-North (C39Z), University of Sydney, Sydney, NSW, Australia
| | - Melanie Price
- Centre for Medical Psychology and Evidence-Based Decision-Making (CeMPED), Lifehouse Level 6-North (C39Z), University of Sydney, Sydney, NSW, Australia
| | - Joseph Coll
- Psycho-Oncology Co-operative Research Group (PoCoG), Lifehouse Level 6-North (C39Z), University of Sydney NSW, Sydney, NSW, Australia
| | - Katherine Tucker
- Hereditary Cancer Clinic, Prince of Wales Hospital, Randwick, NSW, Australia
| | - Bettina Meiser
- Psychosocial Research Group, Prince of Wales Clinical School, Level 4, Lowy Cancer Research Centre C25, The University of NSW, Sydney, NSW, Australia
| | - Roger Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Judith Wilson
- Centre for Medical Psychology and Evidence-Based Decision-Making (CeMPED), Lifehouse Level 6-North (C39Z), University of Sydney, Sydney, NSW, Australia
| | - Louise Heiniger
- Centre for Medical Psychology and Evidence-Based Decision-Making (CeMPED), Lifehouse Level 6-North (C39Z), University of Sydney, Sydney, NSW, Australia
| | - Brandi Baylock
- Centre for Medical Psychology and Evidence-Based Decision-Making (CeMPED), Lifehouse Level 6-North (C39Z), University of Sydney, Sydney, NSW, Australia
| | - Tracey Bullen
- Centre for Medical Psychology and Evidence-Based Decision-Making (CeMPED), Lifehouse Level 6-North (C39Z), University of Sydney, Sydney, NSW, Australia
| | - Prue Weideman
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.,Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Melbourne, VIC, Australia
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- Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Peter McCallum Cancer Centre, Research Division, Melbourne, VIC, Australia
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- kConFab Clinical Follow-Up Study, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
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8
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Joo JE, Dowty JG, Milne RL, Wong EM, Dugué PA, English D, Hopper JL, Goldgar DE, Giles GG, Southey MC. Heritable DNA methylation marks associated with susceptibility to breast cancer. Nat Commun 2018; 9:867. [PMID: 29491469 PMCID: PMC5830448 DOI: 10.1038/s41467-018-03058-6] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 01/08/2018] [Indexed: 02/03/2023] Open
Abstract
Mendelian-like inheritance of germline DNA methylation in cancer susceptibility genes has been previously reported. We aimed to scan the genome for heritable methylation marks associated with breast cancer susceptibility by studying 25 Australian multiple-case breast cancer families. Here we report genome-wide DNA methylation measured in 210 peripheral blood DNA samples provided by family members using the Infinium HumanMethylation450. We develop and apply a new statistical method to identify heritable methylation marks based on complex segregation analysis. We estimate carrier probabilities for the 1000 most heritable methylation marks based on family structure, and we use Cox proportional hazards survival analysis to identify 24 methylation marks with corresponding carrier probabilities significantly associated with breast cancer. We replicate an association with breast cancer risk for four of the 24 marks using an independent nested case-control study. Here, we report a novel approach for identifying heritable DNA methylation marks associated with breast cancer risk.
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Affiliation(s)
- Jihoon E Joo
- Department of Pathology, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, 3168, Australia
| | - James G Dowty
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, 3004, Australia
| | - Ee Ming Wong
- Department of Pathology, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, 3168, Australia
| | - Pierre-Antoine Dugué
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, 3004, Australia
| | - Dallas English
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, 3004, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - David E Goldgar
- Department of Pathology, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Huntsman Cancer Institute, Salt Lake, UT, 84112, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, 3004, Australia
| | - Melissa C Southey
- Department of Pathology, The University of Melbourne, Melbourne, VIC, 3010, Australia.
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, 3168, Australia.
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9
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Lee Y, Milne R, Lheureux S, Friedlander M, McLachlan S, Martin K, Bernardini M, Smith C, Picken S, Nesci S, Hopper J, Phillips K. Risk of uterine cancer for BRCA1 and BRCA2 mutation carriers. Eur J Cancer 2017; 84:114-120. [DOI: 10.1016/j.ejca.2017.07.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 07/01/2017] [Accepted: 07/03/2017] [Indexed: 12/24/2022]
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10
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Li H, Feng B, Miron A, Chen X, Beesley J, Bimeh E, Barrowdale D, John EM, Daly MB, Andrulis IL, Buys SS, Kraft P, Thorne H, Chenevix-Trench G, Southey M, Antoniou AC, James PA, Terry MB, Phillips KA, Hopper JL, Mitchell G, Goldgar DE. Breast cancer risk prediction using a polygenic risk score in the familial setting: a prospective study from the Breast Cancer Family Registry and kConFab. Genet Med 2017; 19:30-35. [PMID: 27171545 PMCID: PMC5107177 DOI: 10.1038/gim.2016.43] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 02/23/2016] [Indexed: 12/28/2022] Open
Abstract
PURPOSE This study examined the utility of sets of single-nucleotide polymorphisms (SNPs) in familial but non-BRCA-associated breast cancer (BC). METHODS We derived a polygenic risk score (PRS) based on 24 known BC risk SNPs for 4,365 women from the Breast Cancer Family Registry and Kathleen Cuningham Consortium Foundation for Research into Familial Breast Cancer familial BC cohorts. We compared scores for women based on cancer status at baseline; 2,599 women unaffected at enrollment were followed-up for an average of 7.4 years. Cox proportional hazards regression was used to analyze the association of PRS with BC risk. The BOADICEA risk prediction algorithm was used to measure risk based on family history alone. RESULTS The mean PRS at baseline was 2.25 (SD, 0.35) for affected women and was 2.17 (SD, 0.35) for unaffected women from combined cohorts (P < 10-6). During follow-up, 205 BC cases occurred. The hazard ratios for continuous PRS (per SD) and upper versus lower quintiles were 1.38 (95% confidence interval: 1.22-1.56) and 3.18 (95% confidence interval: 1.84-5.23) respectively. Based on their PRS-based predicted risk, management for up to 23% of women could be altered. CONCLUSION Including BC-associated SNPs in risk assessment can provide more accurate risk prediction than family history alone and can influence recommendations for cancer screening and prevention modalities for high-risk women.Genet Med 19 1, 30-35.
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Affiliation(s)
- Hongyan Li
- Cancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Bingjian Feng
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Alexander Miron
- Dana Farber Cancer Institute, Boston, MA, USA
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xiaoqing Chen
- Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jonathan Beesley
- Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Emmanuella Bimeh
- Division of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Esther M. John
- Cancer Prevention Institute of California, Fremont, CA, USA
- Department of Health Research and Policy (Epidemiology) and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Mary B. Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Irene L. Andrulis
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Saundra S. Buys
- Department of Medicine, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - kConFab investigators
- Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Heather Thorne
- Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | | | - Melissa Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Australia
| | - Antonis C. Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Paul A. James
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA
| | - Kelly-Anne Phillips
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, Melbourne School of Population Health, University of Melbourne, Melbourne, Victoria, Australia
| | - John L. Hopper
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, Melbourne School of Population Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Gillian Mitchell
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - David E. Goldgar
- Cancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
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11
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Terry MB, Phillips KA, Daly MB, John EM, Andrulis IL, Buys SS, Goldgar DE, Knight JA, Whittemore AS, Chung WK, Apicella C, Hopper JL. Cohort Profile: The Breast Cancer Prospective Family Study Cohort (ProF-SC). Int J Epidemiol 2016; 45:683-92. [PMID: 26174520 PMCID: PMC5005937 DOI: 10.1093/ije/dyv118] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Affiliation(s)
- Mary Beth Terry
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA,
| | - Kelly-Anne Phillips
- Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of Oncology, School of Population and Global Health, St Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Esther M John
- Cancer Prevention Institute of California, Fremont, CA, USA, Department of Health Research & Policy, Stanford University School of Medicine, Stanford, CA, USA
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, ON, Canada
| | | | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada and
| | - Alice S Whittemore
- Department of Health Research & Policy, Stanford University School of Medicine, Stanford, CA, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
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12
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Risbridger GP, Taylor RA, Clouston D, Sliwinski A, Thorne H, Hunter S, Li J, Mitchell G, Murphy D, Frydenberg M, Pook D, Pedersen J, Toivanen R, Wang H, Papargiris M, Lawrence MG, Bolton DM. Patient-derived xenografts reveal that intraductal carcinoma of the prostate is a prominent pathology in BRCA2 mutation carriers with prostate cancer and correlates with poor prognosis. Eur Urol 2014; 67:496-503. [PMID: 25154392 DOI: 10.1016/j.eururo.2014.08.007] [Citation(s) in RCA: 106] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Accepted: 08/04/2014] [Indexed: 01/03/2023]
Abstract
BACKGROUND Intraductal carcinoma of the prostate (IDC-P) is a distinct clinicopathologic entity associated with aggressive prostate cancer (PCa). PCa patients carrying a breast cancer 2, early onset (BRCA2) germline mutation exhibit highly aggressive tumours with poor prognosis. OBJECTIVE To investigate the presence and implications of IDC-P in men with a strong family history of PCa who either carry a BRCA2 pathogenic mutation or do not carry the mutation (BRCAX). DESIGN, SETTING, AND PARTICIPANTS Patient-derived xenografts (PDXs) were generated from three germline BRCA2 mutation carriers and one BRCAX patient. Specimens were examined for histologic evidence of IDC-P. Whole-genome copy number analysis (WG-CNA) was performed on IDC-P from a primary and a matched PDX specimen. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The incidence of IDC-P and association with overall survival for BRCA2 and BRCAX patients were determined using Kaplan-Meier analysis. RESULTS AND LIMITATIONS PDXs from BRCA2 tumours showed increased incidence of IDC-P compared with sporadic PCa (p=0.015). WG-CNA confirmed that the genetic profile of IDC-P from a matched (primary and PDX) BRCA2 tumour was similar. The incidence of IDC-P was significantly increased in BRCA2 carriers (42%, n=33, p=0.004) but not in BRCAX patients (25.8%, n=62, p=0.102) when both groups were compared with sporadic cases (9%, n=32). BRCA2 carriers and BRCAX patients with IDC-P had significantly worse overall and PCa-specific survival compared with BRCA2 carriers and BRCAX patients without IDC-P (hazard ratio [HR]: 16.9, p=0.0064 and HR: 3.57, p=0.0086, respectively). CONCLUSIONS PDXs revealed IDC-P in patients with germline BRCA2 mutations or BRCAX classification, identifying aggressive tumours with poor survival even when the stage and grade of cancer at diagnosis were similar. Further studies of the prognostic significance of IDC-P in sporadic PCa are warranted. PATIENT SUMMARY Intraductal carcinoma of the prostate is common in patients with familial prostate cancer and is associated with poor outcomes. This finding affects genetic counselling and identifies patients in whom earlier multimodality treatment may be required.
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MESH Headings
- Aged
- Animals
- BRCA2 Protein/genetics
- Carcinoma, Intraductal, Noninfiltrating/genetics
- Carcinoma, Intraductal, Noninfiltrating/mortality
- Carcinoma, Intraductal, Noninfiltrating/pathology
- Carcinoma, Intraductal, Noninfiltrating/surgery
- Genetic Predisposition to Disease
- Heredity
- Heterografts
- Humans
- Incidence
- Kaplan-Meier Estimate
- Male
- Mice, Inbred NOD
- Mice, SCID
- Middle Aged
- Mutation
- Neoplasm Transplantation
- Pedigree
- Phenotype
- Proportional Hazards Models
- Prostatectomy
- Prostatic Neoplasms/genetics
- Prostatic Neoplasms/mortality
- Prostatic Neoplasms/pathology
- Prostatic Neoplasms/surgery
- Risk Factors
- Time Factors
- Treatment Outcome
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Affiliation(s)
- Gail P Risbridger
- Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Victoria, Australia
| | - Renea A Taylor
- Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Victoria, Australia; Department of Physiology, Monash University, Melbourne, Victoria, Australia
| | | | - Ania Sliwinski
- kConFab, Research Department, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia; Familial Cancer Centre, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia; Division of Cancer Surgery, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia
| | - Heather Thorne
- kConFab, Research Department, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia; Familial Cancer Centre, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia; Department of Oncology, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia
| | - Sally Hunter
- Department of Oncology, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia; Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia
| | - Jason Li
- Department of Oncology, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia; Bioinformatics, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia
| | - Gillian Mitchell
- kConFab, Research Department, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia; Familial Cancer Centre, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia; Department of Oncology, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia
| | - Declan Murphy
- Division of Cancer Surgery, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, Victoria, Australia; Epworth Research Centre, Epworth Healthcare, Victoria, Australia
| | - Mark Frydenberg
- Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Victoria, Australia; Department of Urology, Monash Medical Centre, Monash University, Melbourne, Victoria, Australia
| | - David Pook
- Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Victoria, Australia
| | - John Pedersen
- Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Victoria, Australia; Tissupath, Mt. Waverley, Victoria, Australia
| | - Roxanne Toivanen
- Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Victoria, Australia
| | - Hong Wang
- Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Victoria, Australia
| | - Melissa Papargiris
- Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Victoria, Australia
| | - Mitchell G Lawrence
- Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Melbourne, Victoria, Australia
| | - Damien M Bolton
- Department of Urology, University of Melbourne, Austin Hospital, Melbourne Heidelberg, Victoria, Australia.
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13
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Ahsan H, Halpern J, Kibriya MG, Pierce BL, Tong L, Gamazon E, McGuire V, Felberg A, Shi J, Jasmine F, Roy S, Brutus R, Argos M, Melkonian S, Chang-Claude J, Andrulis I, Hopper JL, John EM, Malone K, Ursin G, Gammon MD, Thomas DC, Seminara D, Casey G, Knight JA, Southey MC, Giles GG, Santella RM, Lee E, Conti D, Duggan D, Gallinger S, Haile R, Jenkins M, Lindor NM, Newcomb P, Michailidou K, Apicella C, Park DJ, Peto J, Fletcher O, Silva IDS, Lathrop M, Hunter DJ, Chanock SJ, Meindl A, Schmutzler RK, Müller-Myhsok B, Lochmann M, Beckmann L, Hein R, Makalic E, Schmidt DF, Bui QM, Stone J, Flesch-Janys D, Dahmen N, Nevanlinna H, Aittomäki K, Blomqvist C, Hall P, Czene K, Irwanto A, Liu J, Rahman N, Turnbull C, Dunning AM, Pharoah P, Waisfisz Q, Meijers-Heijboer H, Uitterlinden AG, Rivadeneira F, Nicolae D, Easton DF, Cox NJ, Whittemore AS. A genome-wide association study of early-onset breast cancer identifies PFKM as a novel breast cancer gene and supports a common genetic spectrum for breast cancer at any age. Cancer Epidemiol Biomarkers Prev 2014; 23:658-69. [PMID: 24493630 PMCID: PMC3990360 DOI: 10.1158/1055-9965.epi-13-0340] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Early-onset breast cancer (EOBC) causes substantial loss of life and productivity, creating a major burden among women worldwide. We analyzed 1,265,548 Hapmap3 single-nucleotide polymorphisms (SNP) among a discovery set of 3,523 EOBC incident cases and 2,702 population control women ages ≤ 51 years. The SNPs with smallest P values were examined in a replication set of 3,470 EOBC cases and 5,475 control women. We also tested EOBC association with 19,684 genes by annotating each gene with putative functional SNPs, and then combining their P values to obtain a gene-based P value. We examined the gene with smallest P value for replication in 1,145 breast cancer cases and 1,142 control women. The combined discovery and replication sets identified 72 new SNPs associated with EOBC (P < 4 × 10(-8)) located in six genomic regions previously reported to contain SNPs associated largely with later-onset breast cancer (LOBC). SNP rs2229882 and 10 other SNPs on chromosome 5q11.2 remained associated (P < 6 × 10(-4)) after adjustment for the strongest published SNPs in the region. Thirty-two of the 82 currently known LOBC SNPs were associated with EOBC (P < 0.05). Low power is likely responsible for the remaining 50 unassociated known LOBC SNPs. The gene-based analysis identified an association between breast cancer and the phosphofructokinase-muscle (PFKM) gene on chromosome 12q13.11 that met the genome-wide gene-based threshold of 2.5 × 10(-6). In conclusion, EOBC and LOBC seem to have similar genetic etiologies; the 5q11.2 region may contain multiple distinct breast cancer loci; and the PFKM gene region is worthy of further investigation. These findings should enhance our understanding of the etiology of breast cancer.
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Affiliation(s)
- Habibul Ahsan
- Center for Cancer Epidemiology and Prevention, Departments of Health Studies, University of Chicago, IL
- Department of Medicine, University of Chicago, IL
- Department of Human Genetics, University of Chicago, IL
- Comprehensive Cancer Center, University of Chicago, IL
| | - Jerry Halpern
- Department of Health Research and Policy, Stanford University School of Medicine, CA
| | - Muhammad G Kibriya
- Center for Cancer Epidemiology and Prevention, Departments of Health Studies, University of Chicago, IL
| | - Brandon L Pierce
- Center for Cancer Epidemiology and Prevention, Departments of Health Studies, University of Chicago, IL
- Comprehensive Cancer Center, University of Chicago, IL
| | - Lin Tong
- Center for Cancer Epidemiology and Prevention, Departments of Health Studies, University of Chicago, IL
| | - Eric Gamazon
- Department of Medicine, University of Chicago, IL
| | - Valerie McGuire
- Department of Health Research and Policy, Stanford University School of Medicine, CA
| | - Anna Felberg
- Department of Health Research and Policy, Stanford University School of Medicine, CA
| | - Jianxin Shi
- Epidemiology and Genetics Research Program, National Cancer Institute, MD
| | - Farzana Jasmine
- Center for Cancer Epidemiology and Prevention, Departments of Health Studies, University of Chicago, IL
| | - Shantanu Roy
- Center for Cancer Epidemiology and Prevention, Departments of Health Studies, University of Chicago, IL
| | - Rachelle Brutus
- Center for Cancer Epidemiology and Prevention, Departments of Health Studies, University of Chicago, IL
| | - Maria Argos
- Center for Cancer Epidemiology and Prevention, Departments of Health Studies, University of Chicago, IL
| | - Stephanie Melkonian
- Center for Cancer Epidemiology and Prevention, Departments of Health Studies, University of Chicago, IL
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Irene Andrulis
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto Ontario
| | - John L Hopper
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health, The University of Melbourne, Australia
| | - Esther M. John
- Cancer Prevention Institute of California, Fremont, CA and Department of Health Research and Policy, Stanford University School of Medicine and Stanford Cancer Institute, Stanford, CA
| | - Kathi Malone
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Marilie D Gammon
- Department of Epidemiology, University of North Carolina at Chapel Hill, NC
| | - Duncan C Thomas
- Department of Preventive Medicine, University of Southern California, CA
| | - Daniela Seminara
- Epidemiology and Genetics Research Program, National Cancer Institute, MD
| | - Graham Casey
- Department of Preventive Medicine, University of Southern California, CA
| | - Julia A Knight
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto Ontario
| | - Melissa C Southey
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health, The University of Melbourne, Australia
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Australia
| | - Graham G Giles
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health, The University of Melbourne, Australia
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Regina M Santella
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health
| | - Eunjung Lee
- Department of Preventive Medicine, University of Southern California, CA
| | - David Conti
- Department of Preventive Medicine, University of Southern California, CA
| | - David Duggan
- Integrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, AZ
| | - Steve Gallinger
- Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Robert Haile
- Department of Preventive Medicine, University of Southern California, CA
| | - Mark Jenkins
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Noralane M Lindor
- Department of Health Science Research, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Polly Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Carmel Apicella
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health, The University of Melbourne, Australia
| | - Daniel J Park
- Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Australia
| | - Julian Peto
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Olivia Fletcher
- Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London, UK
| | - Isabel dos Santos Silva
- Non-communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Mark Lathrop
- Centre National de Genotypage, Evry, France
- Fondation Jean Dausset – CEPH, Paris, France
| | - David J Hunter
- Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Alfons Meindl
- Clinic of Gynaecology and Obstetrics, Division for Gynaecological Tumor-Genetics, Technische Universität München, München, Germany
| | - Rita K Schmutzler
- Department of Obstetrics and Gynaecology, Division of Molecular Gynaeco-Oncology, University of Cologne, Germany
| | | | - Magdalena Lochmann
- Clinic of Gynaecology and Obstetrics, Division for Gynaecological Tumor-Genetics, Technische Universität München, München, Germany
| | - Lars Beckmann
- Foundation for Quality and Efficiency in Health Care IQWIG, Cologne, Germany
| | - Rebecca Hein
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- PMV Research Group at the Department of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Enes Makalic
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health, The University of Melbourne, Australia
| | - Daniel F Schmidt
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health, The University of Melbourne, Australia
| | - Quang Minh Bui
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health, The University of Melbourne, Australia
| | - Jennifer Stone
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of Population Health, The University of Melbourne, Australia
| | - Dieter Flesch-Janys
- Department of Cancer Epidemiology/Clinical Cancer Registry, University Clinic Hamburg-Eppendorf, Hamburg, Germany
- Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Norbert Dahmen
- Department of Psychiatry, University of Mainz, Mainz, Germany
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Kristiina Aittomäki
- Department of Clinical Genetics, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Carl Blomqvist
- Department of Oncology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Per Hall
- Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Kamila Czene
- Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Astrid Irwanto
- Human Genetics Division, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Jianjun Liu
- Human Genetics Division, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Nazneen Rahman
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, UK
| | - Clare Turnbull
- Section of Cancer Genetics, Institute of Cancer Research, Sutton, UK
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Quinten Waisfisz
- Department of Clinical Genetics, VU University Medical Center, section Oncogenetics, Amsterdam, The Netherlands
| | - Hanne Meijers-Heijboer
- Department of Clinical Genetics, VU University Medical Center, section Oncogenetics, Amsterdam, The Netherlands
| | - Andre G. Uitterlinden
- Department of Internal Medicine and Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine and Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Dan Nicolae
- Department of Medicine, University of Chicago, IL
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Nancy J Cox
- Department of Medicine, University of Chicago, IL
- Department of Human Genetics, University of Chicago, IL
- Comprehensive Cancer Center, University of Chicago, IL
| | - Alice S Whittemore
- Department of Health Research and Policy, Stanford University School of Medicine, CA
- Stanford Cancer Institute, Palo Alto, CA
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14
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John EM, McGuire V, Thomas D, Haile R, Ozcelik H, Milne RL, Felberg A, West DW, Miron A, Knight JA, Terry MB, Daly M, Buys SS, Andrulis IL, Hopper JL, Southey MC, Giles GG, Apicella C, Thorne H, Whittemore AS. Diagnostic chest X-rays and breast cancer risk before age 50 years for BRCA1 and BRCA2 mutation carriers. Cancer Epidemiol Biomarkers Prev 2013; 22:1547-56. [PMID: 23853209 DOI: 10.1158/1055-9965.epi-13-0189] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND The effects of low-dose medical radiation on breast cancer risk are uncertain, and few studies have included genetically susceptible women, such as those who carry germline BRCA1 and BRCA2 mutations. METHODS We studied 454 BRCA1 and 273 BRCA2 mutation carriers ages younger than 50 years from three breast cancer family registries in the United States, Canada, and Australia/New Zealand. We estimated breast cancer risk associated with diagnostic chest X-rays by comparing mutation carriers with breast cancer (cases) with those without breast cancer (controls). Exposure to chest X-rays was self-reported. Mammograms were not considered in the analysis. RESULTS After adjusting for known risk factors for breast cancer, the ORs for a history of diagnostic chest X-rays, excluding those for tuberculosis or pneumonia, were 1.16 [95% confidence interval (CI), 0.64-2.11] for BRCA1 mutations carriers and 1.22 (95% CI, 0.62-2.42) for BRCA2 mutations carriers. The OR was statistically elevated for BRCA2 mutation carriers with three to five diagnostic chest X-rays (P = 0.01) but not for those with six or more chest X-rays. Few women reported chest fluoroscopy for tuberculosis or chest X-rays for pneumonia; the OR estimates were elevated, but not statistically significant, for BRCA1 mutation carriers. CONCLUSIONS Our findings do not support a positive association between diagnostic chest X-rays and breast cancer risk before the ages of 50 years for BRCA1 or BRCA2 mutation carriers. IMPACT Given the increasing use of diagnostic imaging involving higher ionizing radiation doses, further studies of genetically predisposed women are warranted.
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Affiliation(s)
- Esther M John
- Cancer Prevention Institute of California, 2201 Walnut Avenue, Suite 300, Fremont, CA 94538-2334, USA.
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15
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Thompson ER, Doyle MA, Ryland GL, Rowley SM, Choong DYH, Tothill RW, Thorne H, Barnes DR, Li J, Ellul J, Philip GK, Antill YC, James PA, Trainer AH, Mitchell G, Campbell IG. Exome sequencing identifies rare deleterious mutations in DNA repair genes FANCC and BLM as potential breast cancer susceptibility alleles. PLoS Genet 2012; 8:e1002894. [PMID: 23028338 PMCID: PMC3459953 DOI: 10.1371/journal.pgen.1002894] [Citation(s) in RCA: 171] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2012] [Accepted: 06/28/2012] [Indexed: 11/25/2022] Open
Abstract
Despite intensive efforts using linkage and candidate gene approaches, the genetic etiology for the majority of families with a multi-generational breast cancer predisposition is unknown. In this study, we used whole-exome sequencing of thirty-three individuals from 15 breast cancer families to identify potential predisposing genes. Our analysis identified families with heterozygous, deleterious mutations in the DNA repair genes FANCC and BLM, which are responsible for the autosomal recessive disorders Fanconi Anemia and Bloom syndrome. In total, screening of all exons in these genes in 438 breast cancer families identified three with truncating mutations in FANCC and two with truncating mutations in BLM. Additional screening of FANCC mutation hotspot exons identified one pathogenic mutation among an additional 957 breast cancer families. Importantly, none of the deleterious mutations were identified among 464 healthy controls and are not reported in the 1,000 Genomes data. Given the rarity of Fanconi Anemia and Bloom syndrome disorders among Caucasian populations, the finding of multiple deleterious mutations in these critical DNA repair genes among high-risk breast cancer families is intriguing and suggestive of a predisposing role. Our data demonstrate the utility of intra-family exome-sequencing approaches to uncover cancer predisposition genes, but highlight the major challenge of definitively validating candidates where the incidence of sporadic disease is high, germline mutations are not fully penetrant, and individual predisposition genes may only account for a tiny proportion of breast cancer families. Currently, we know that a woman who inherits a fault in one of two genes, BRCA1 or BRCA2, has a high risk of developing both breast and ovarian cancer. However, such faults account for only half of all families with a strong family history of breast cancer. In this study, we planned to identify new genes that may be associated with an increased risk of developing breast cancer by looking for faults in every gene in the blood DNA of multiple women with breast cancer from large families with a strong family history of the condition over multiple generations. We can then track which gene fault is present in all the women with breast cancer in that family and in other families, but is not found in the women who did not develop breast cancer or have no family history. Using this approach, we identified faults in two genes, Fanconi C and Bloom helicase, in six families. Faults in these genes appear to increase the risk of developing breast cancer. Both these genes work in a similar way as BRCA1 and BRCA2, and this highlights the importance of these functions in preventing breast cancer. Further studies need to be done to confirm our results.
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Affiliation(s)
- Ella R. Thompson
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Maria A. Doyle
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Georgina L. Ryland
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Centre for Cancer Research, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia
| | - Simone M. Rowley
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - David Y. H. Choong
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Richard W. Tothill
- Molecular Genomics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Heather Thorne
- Kathleen Cunningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - kConFab
- Kathleen Cunningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Daniel R. Barnes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Jason Li
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Jason Ellul
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Gayle K. Philip
- Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Carlton, Victoria, Australia
| | - Yoland C. Antill
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Paul A. James
- Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Alison H. Trainer
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Gillian Mitchell
- Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Ian G. Campbell
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- Department of Pathology, University of Melbourne, Parkville, Victoria, Australia
- * E-mail:
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16
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Caputo S, Benboudjema L, Sinilnikova O, Rouleau E, Béroud C, Lidereau R. Description and analysis of genetic variants in French hereditary breast and ovarian cancer families recorded in the UMD-BRCA1/BRCA2 databases. Nucleic Acids Res 2011; 40:D992-1002. [PMID: 22144684 PMCID: PMC3245050 DOI: 10.1093/nar/gkr1160] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BRCA1 and BRCA2 are the two main genes responsible for predisposition to breast and ovarian cancers, as a result of protein-inactivating monoallelic mutations. It remains to be established whether many of the variants identified in these two genes, so-called unclassified/unknown variants (UVs), contribute to the disease phenotype or are simply neutral variants (or polymorphisms). Given the clinical importance of establishing their status, a nationwide effort to annotate these UVs was launched by laboratories belonging to the French GGC consortium (Groupe Génétique et Cancer), leading to the creation of the UMD-BRCA1/BRCA2 databases (http://www.umd.be/BRCA1/ and http://www.umd.be/BRCA2/). These databases have been endorsed by the French National Cancer Institute (INCa) and are designed to collect all variants detected in France, whether causal, neutral or UV. They differ from other BRCA databases in that they contain co-occurrence data for all variants. Using these data, the GGC French consortium has been able to classify certain UVs also contained in other databases. In this article, we report some novel UVs not contained in the BIC database and explore their impact in cancer predisposition based on a structural approach.
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Affiliation(s)
- Sandrine Caputo
- Institut Curie-Hôpital René Huguenin, Service d'Oncogénétique, U735 INSERM-Saint-Cloud, France.
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17
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Abstract
PURPOSE This study examined what men from high-risk breast/ovarian cancer families valued from attending a familial cancer clinic. METHODS One hundred men from families with a BRCA1 or BRCA2 mutation completed a self-administered questionnaire. RESULTS Seventy- two percent (72%) of men attended the familial cancer clinic at the request of a family member. Multivariate analyses showed that men with a preference for a collaborative decision-making style (B = -4.651, 95% CI = -9.014 to -0.289, P = 0.04), those with lower levels of education (B = -4.850, 95% CI = -9.16 to -0.537, P = 0.03), and those with higher levels of cancer-related anxiety (intrusion) (B = 0.920, 95% CI = 0.441-1.399, P < 0.001) were more likely to value emotional support from the clinic. Men with a collaborative decision-making style (B = -2.68, 95% CI = -4.91 to -0.467, P = 0.02) were less likely, and those with higher total levels of cancer-related anxiety (intrusion and avoidance) (B = 0.393, 95% CI = 0.008-0.779, P = 0.04) were more likely to value receiving information from the clinic. CONCLUSIONS A preference for collaborative decision making and cancer-related anxiety predicted men valuing information and emotional support from the consultation. The finding that men's attendance is initiated by family members highlights the value men place on family responsibility.
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19
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Mann GJ, Thorne H, Balleine RL, Butow PN, Clarke CL, Edkins E, Evans GM, Fereday S, Haan E, Gattas M, Giles GG, Goldblatt J, Hopper JL, Kirk J, Leary JA, Lindeman G, Niedermayr E, Phillips KA, Picken S, Pupo GM, Saunders C, Scott CL, Spurdle AB, Suthers G, Tucker K, Chenevix-Trench G. Analysis of cancer risk and BRCA1 and BRCA2 mutation prevalence in the kConFab familial breast cancer resource. Breast Cancer Res 2006; 8:R12. [PMID: 16507150 PMCID: PMC1413975 DOI: 10.1186/bcr1377] [Citation(s) in RCA: 130] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2005] [Revised: 12/20/2005] [Accepted: 01/06/2006] [Indexed: 02/06/2023] Open
Abstract
Introduction The Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab) is a multidisciplinary, collaborative framework for the investigation of familial breast cancer. Based in Australia, the primary aim of kConFab is to facilitate high-quality research by amassing a large and comprehensive resource of epidemiological and clinical data with biospecimens from individuals at high risk of breast and/or ovarian cancer, and from their close relatives. Methods Epidemiological, family history and lifestyle data, as well as biospecimens, are collected from multiple-case breast cancer families ascertained through family cancer clinics in Australia and New Zealand. We used the Tyrer-Cuzick algorithms to assess the prospective risk of breast cancer in women in the kConFab cohort who were unaffected with breast cancer at the time of enrolment in the study. Results Of kConFab's first 822 families, 518 families had multiple cases of female breast cancer alone, 239 had cases of female breast and ovarian cancer, 37 had cases of female and male breast cancer, and 14 had both ovarian cancer as well as male and female breast cancer. Data are currently held for 11,422 people and germline DNAs for 7,389. Among the 812 families with at least one germline sample collected, the mean number of germline DNA samples collected per family is nine. Of the 747 families that have undergone some form of mutation screening, 229 (31%) carry a pathogenic or splice-site mutation in BRCA1 or BRCA2. Germline DNAs and data are stored from 773 proven carriers of BRCA1 or BRCA1 mutations. kConFab's fresh tissue bank includes 253 specimens of breast or ovarian tissue – both normal and malignant – including 126 from carriers of BRCA1 or BRCA2 mutations. Conclusion These kConFab resources are available to researchers anywhere in the world, who may apply to kConFab for biospecimens and data for use in ethically approved, peer-reviewed projects. A high calculated risk from the Tyrer-Cuzick algorithms correlated closely with the subsequent occurrence of breast cancer in BRCA1 and BRCA2 mutation positive families, but this was less evident in families in which no pathogenic BRCA1 or BRCA2 mutation has been detected.
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Affiliation(s)
- Graham J Mann
- Westmead Institute for Cancer Research, University of Sydney at Westmead Millennium Institute, Westmead Hospital, Westmead, New South Wales, Australia
| | - Heather Thorne
- Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Rosemary L Balleine
- Westmead Institute for Cancer Research, University of Sydney at Westmead Millennium Institute, Westmead Hospital, Westmead, New South Wales, Australia
| | | | - Christine L Clarke
- Westmead Institute for Cancer Research, University of Sydney at Westmead Millennium Institute, Westmead Hospital, Westmead, New South Wales, Australia
| | - Edward Edkins
- Women's and Children's Health Service, Subiaco and Centre for Human Genetics, Edith Cowen University, Joondalup, Western Australia, Australia
| | - Gerda M Evans
- Breast Cancer Network Australia, Camberwell, Victoria, Australia
| | - Sián Fereday
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Eric Haan
- SA Clinical Genetics Service, Department of Genetic Medicine, Women's and Children's Hospital, North Adelaide, Australia, and Department of Paediatrics, University of Adelaide, Australia
| | - Michael Gattas
- Queensland Clinical Genetics Service, Royal Children's Hospital, Brisbane, Herston, Australia
| | - Graham G Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Jack Goldblatt
- Genetic Services of Western Australia, King Edward's Memorial Hospital, School of Paediatrics and Child Health, University of Western Australia, Perth, Subiaco, Australia
| | - John L Hopper
- Centre for Genetic Epidemiology, University of Melbourne, Melbourne, Victoria, Australia
| | - Judy Kirk
- Westmead Institute for Cancer Research, University of Sydney at Westmead Millennium Institute, Westmead Hospital, Westmead, New South Wales, Australia
| | - Jennifer A Leary
- Westmead Institute for Cancer Research, University of Sydney at Westmead Millennium Institute, Westmead Hospital, Westmead, New South Wales, Australia
| | - Geoffrey Lindeman
- Familial Cancer Centre, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Eveline Niedermayr
- Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Kelly-Anne Phillips
- Division of Hematology and Medical Oncology, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Sandra Picken
- Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Gulietta M Pupo
- Westmead Institute for Cancer Research, University of Sydney at Westmead Millennium Institute, Westmead Hospital, Westmead, New South Wales, Australia
| | - Christobel Saunders
- School of Surgery and Pathology, University of Western Australia, Perth, Western Australia, Australia
| | - Clare L Scott
- Walter and Eliza Hall Institute of Medical Research, Royal Parade, Parkville, Victoria, Australia
| | - Amanda B Spurdle
- The Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - Graeme Suthers
- SA Clinical Genetics Service, Department of Genetic Medicine, Women's and Children's Hospital, North Adelaide, Australia, and Department of Paediatrics, University of Adelaide, Australia
| | - Kathy Tucker
- Hereditary Cancer Clinic, Prince of Wales Hospital, Sydney, Australia
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Antill Y, Reynolds J, Young MA, Kirk J, Tucker K, Bogtstra T, Wong S, Dudding T, Di Iulio J, Phillips KA. Risk-reducing surgery in women with familial susceptibility for breast and/or ovarian cancer. Eur J Cancer 2006; 42:621-8. [PMID: 16434187 DOI: 10.1016/j.ejca.2005.11.020] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2005] [Revised: 11/07/2005] [Accepted: 11/11/2006] [Indexed: 01/12/2023]
Abstract
This multicentre study examined uptake of bilateral risk-reducing mastectomy (BRRM) and bilateral risk-reducing oophorectomy (BRRO) in women at increased risk for breast and/or ovarian cancer who had attended a familial cancer clinic (FCC) between January 1999 and June 2000. Eligible women (N=396), were mailed a questionnaire assessing: BRRM and BRRO details; risk perception; and anxiety. Family history, genetic testing and risk assessment were abstracted from medical records. Surgery was cross-tabulated with demographics, risk perception and anxiety with either Fisher's exact test or the exact form of the Mantel-Haenszel test (for ordinal factors) used to investigate for associations. Ordinal logistic regression was used with continuous-scale covariates. In total, 130 women were lost to follow-up leaving 266; of these 182 (68.4%) responded. Mean follow-up time was 3.73 years. The BRRM rate was 4.4%; with no difference found between moderate and high-risk groups. BRRM was associated with increasing numbers of affected relatives (P=0.025). BRRO was undertaken by 17.3%, more commonly in women older than 40 years of age (P=0.023) and with a BRCA1/2 mutation (P=0.017). Women who underwent BRRM (P=0.052) or BRRO (P<0.001) had a lower post-procedure risk perception than those who did not. During the timeframe of this study, risk-reducing surgery was undertaken by a small percentage of Australian women at increased risk for breast and/or ovarian cancer who attended FCCs. Family cancer history and mutation status were associated with uptake.
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Affiliation(s)
- Yoland Antill
- Department of Haematology and Medical Oncology, Peter MacCallum Cancer Centre, and The University of Melbourne, Department of Medicine, St. Vincent's Hospital, Vic., Australia
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21
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Lewis AG, Flanagan J, Marsh A, Pupo GM, Mann G, Spurdle AB, Lindeman GJ, Visvader JE, Brown MA, Chenevix-Trench G. Mutation analysis of FANCD2, BRIP1/BACH1, LMO4 and SFN in familial breast cancer. Breast Cancer Res 2005; 7:R1005-16. [PMID: 16280053 PMCID: PMC1410737 DOI: 10.1186/bcr1336] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2005] [Accepted: 09/26/2005] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Mutations in known predisposition genes account for only about a third of all multiple-case breast cancer families. We hypothesized that germline mutations in FANCD2, BRIP1/BACH1, LMO4 and SFN may account for some of the unexplained multiple-case breast cancer families. METHODS The families used in this study were ascertained through the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab). Denaturing high performance liquid chromatography (DHPLC) analysis of the coding regions of these four genes was conducted in the youngest affected cases of 30 to 267 non-BRCA1/2 breast cancer families. In addition, a further 399 index cases were also screened for mutations in two functionally significant regions of the FANCD2 gene and 253 index cases were screened for two previously reported mutations in BACH1 (p. P47A and p. M299I). RESULTS DHPLC analysis of FANCD2 identified six silent exonic variants, and a large number of intronic variants, which tagged two common haplotypes. One protein truncating variant was found in BRIP1/BACH1, as well as four missense variants, a silent change and a variant in the 3' untranslated region. No missense or splice site mutations were found in LMO4 or SFN. Analysis of the missense, silent and frameshift variants of FANCD2 and BACH1 in relatives of the index cases, and in a panel of controls, found no evidence suggestive of pathogenicity. CONCLUSION There is no evidence that highly penetrant exonic or splice site mutations in FANCD2, BRIP1/BACH1, LMO4 or SFN contribute to familial breast cancer. Large scale association studies will be necessary to determine whether any of the polymorphisms or haplotypes identified in these genes contributes to breast cancer risk.
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Affiliation(s)
- Aaron G Lewis
- Department of Cancer Genetics, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.
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22
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Phillips KA, Butow PN, Stewart AE, Chang JH, Weideman PC, Price MA, McLachlan SA, Lindeman GJ, McKay MJ, Friedlander ML, Hopper JL. Predictors of participation in clinical and psychosocial follow-up of the kConFab breast cancer family cohort. Fam Cancer 2005; 4:105-13. [PMID: 15951960 DOI: 10.1007/s10689-004-6129-x] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 04/23/2004] [Accepted: 11/11/2004] [Indexed: 10/25/2022]
Abstract
INTRODUCTION Prospective collection of epidemiological, psychosocial and outcome data in large breast cancer family cohorts should provide less biased data than retrospective studies regarding penetrance of breast cancer and modifiers of genetic risk. METHODS The Kathleen Cuningham Foundation for Research into Breast Cancer (kConFab) recently commenced 3-yearly follow-up on over 750 families with multiple cases of breast cancer. Clinical follow-up was by mailed self-report questionnaire to all participants, while psychosocial follow-up was only of unaffected women and consisted of two components: a mailed questionnaire and an interview regarding stressful life events. RESULTS To date, 1928 of 2748 (70%) participants returned the clinical follow-up questionnaire (10% opted out, 16% were non-responders, and 4% were not contactable). Of the unaffected females who returned the clinical follow-up questionnaire, 91% participated in the psychosocial follow-up. In multivariate analyses, sex, personal cancer status, marital status, age and educational status were independent predictors of response to the clinical follow-up questionnaire, and number of female children, age, and family history of breast cancer were independent predictors of response to the psychosocial follow-up. CONCLUSIONS A first round of 3-yearly clinical and psychosocial follow-up using a mailed questionnaire was feasible in this cohort. High response rates were achieved by employing intensive tracing and reminder strategies. The predictors of response for the clinical and psychosocial follow-up components of this study should be considered in designing similar follow-up strategies for other family cancer cohorts.
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Affiliation(s)
- Kelly-Anne Phillips
- Department of Hematology and Medical Oncology, Peter MacCallum Cancer Centre, Locked Bag No. 1, A'Beckett St, Victoria 8006, Australia.
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Butow P, Meiser B, Price M, Bennett B, Tucker K, Davenport T, Hickie I. Psychological morbidity in women at increased risk of developing breast cancer: a controlled study. Psychooncology 2005; 14:196-203. [PMID: 15386776 DOI: 10.1002/pon.835] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
There has been an ongoing debate in the literature on the extent to which women with a family history of breast cancer are at risk of psychological morbidity. This study compares psychological morbidity in 557 women participating in a large Australian registry of high-risk breast cancer families (kConFab) with 2 age and education matched samples, 1494 general practitioner attendees and 158 members of a twin registry. Participants completed the Somatic and Psychological Health Report (SPHERE). There were no significant differences between the three groups on psychological distress (F(2, 670) = 1.77, p = 0.17). Unsurprisingly, GP attendees reported more symptoms of somatic distress than the kConFab group (t411 = 2.89, p = 0.004); there were no differences between the twins and the kConFab group on somatic distress (t174 = 0.40, p = 0.687). Clinically significant anxiety/depression, a combination of psychological and somatic distress, therefore was significantly higher in GP attendees (28%) than the kConFab and twin samples (both 20%). These results refute the hypothesis that women with a family history of breast cancer are at greater psychological risk.
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Affiliation(s)
- Phyllis Butow
- Medical Psychology Research Unit, University of Sydney, Australia.
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24
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Chenevix-Trench G, Sinilnikova OM, Suthers G, Pandeya N, Mazoyer S, Sambrook JF, Goldup S, Goldgar D, Lynch HT, Lenoir GM, Cheetham G. Ratio of male to female births in the offspring of BRCA1 and BRCA2 carriers. Fam Cancer 2005; 4:73-5. [PMID: 15951955 DOI: 10.1007/s10689-004-2102-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2004] [Accepted: 08/11/2004] [Indexed: 12/11/2022]
Abstract
A recent report based on 68 families, including 17 with mutations in BRCA1, suggested that there was an excess of female offspring born to BRCA1 mutation carriers. We have examined the gender ratio among offspring of 511 mutation carriers from 116 BRCA1 families, 77 and 39 from Australia and the United States, respectively. We found no evidence for a significant deviation from the expected proportion of female offspring in the Australian pedigrees, but there was an excess of female offspring in pedigrees from the USA. Ascertainment bias probably explains this bias, rather than a link with X-chromosome inactivation as previously suggested, because the families from the USA were ascertained for the purposes of linkage studies whereas those from Australia were ascertained through Familial Cancer Clinics to which they had been referred for clinical genetic counseling and mutation testing.
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Affiliation(s)
- G Chenevix-Trench
- Queensland Institute of Medical Research, Post Office Royal Brisbane Hospital, QLD, 4029 Herston, Australia.
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25
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Whittemore AS, Balise RR, Pharoah PDP, Dicioccio RA, Oakley-Girvan I, Ramus SJ, Daly M, Usinowicz MB, Garlinghouse-Jones K, Ponder BAJ, Buys S, Senie R, Andrulis I, John E, Hopper JL, Piver MS. Oral contraceptive use and ovarian cancer risk among carriers of BRCA1 or BRCA2 mutations. Br J Cancer 2005; 91:1911-5. [PMID: 15545966 PMCID: PMC2410144 DOI: 10.1038/sj.bjc.6602239] [Citation(s) in RCA: 96] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Women with mutations of the genes BRCA1 or BRCA2 are at increased risk of ovarian cancer. Oral contraceptives protect against ovarian cancer in general, but it is not known whether they protect against the disease in carriers of these mutations. We obtained self-reported lifetime histories of oral contraceptive use from 451 women who carried mutations of BRCA1 or BRCA2. We used conditional logistic regression to estimate the odds ratios associated with oral contraceptive use, comparing the histories of 147 women with ovarian cancer (cases) to those of 304 women without ovarian cancer (controls) who were matched to cases on year of birth, country of residence and gene (BRCA1 vs BRCA2). Reference ages for controls had to exceed the ages at diagnosis of their matched cases. After adjusting for parity, the odds-ratio for ovarian cancer associated with use of oral contraceptives for at least 1 year was 0.85 (95 percent confidence interval, 0.53–1.36). The risk decreased by 5% (1–9%) with each year of use (P for trend=0.01). Use for 6 or more years was associated with an odds-ratio of 0.62 (0.35–1.09). These data support the hypothesis that long-term oral contraceptive use reduces the risk of ovarian cancer among women who carry mutations of BRCA1 or BRCA2.
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Affiliation(s)
- A S Whittemore
- Department of Health Research and Policy, Stanford University School of Medicine, HRP Redwood Building, Stanford, CA 94305-5405, USA.
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Meiser B, Butow P, Price M, Bennett B, Berry G, Tucker K. Attitudes to Prophylactic Surgery and Chemoprevention in Australian Women at Increased Risk for Breast Cancer. J Womens Health (Larchmt) 2003; 12:769-78. [PMID: 14588127 DOI: 10.1089/154099903322447738] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Because of the uncertain efficacy of breast cancer screening in women at increased risk of developing breast cancer, bilateral prophylactic oophorectomy and mastectomy are considered management options for high-risk women. Data on the attitudes to prophylactic strategies of high-risk women who have not attended specialist clinics are needed to ascertain the need for patient education and provide the basis for planning of support services. METHODS Three hundred seventy-one women unaffected by cancer and with unknown mutation status from families with a dominantly inherited susceptibility to breast cancer, recruited through a large Australian population-based, epidemiological study, were assessed using a mailed self-administered questionnaire with validated measures of psychological outcome. RESULTS Sixteen percent of women reported considering prophylactic mastectomy, and 1% had already had the procedure. Among women with a family history of breast/ovarian cancer, 33% had considered and 5% had already had a prophylactic oophorectomy. Twenty-three percent of women reported considering taking tamoxifen if it were shown to prevent breast cancer. Consideration of prophylactic oophorectomy (OR = 1.51 for a 10% change in perceived risk, 95% CI 1.14-1.99, p = 0.0045) and tamoxifen (OR = 1.14 for a 10% change in perceived risk, 95% CI 1.002-1.30, p = 0.047) were positively associated with perceived cancer risk. CONCLUSIONS Attitudes to prophylactic surgery and psychological distress levels in high-risk women participating in an epidemiological study appear to be comparable to those of women attending familial cancer clinics and indicate that women attending high-risk clinics may be representative of the larger population of women at increased risk.
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Affiliation(s)
- B Meiser
- Department of Medical Oncology, Prince of Wales Hospital, Randwick New South Wales 2031, Sydney, Australia.
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Scott CI, Iorgulescu DG, Thorne HJ, Henderson MA, Phillips KA. Clinical, pathological and genetic features of women at high familial risk of breast cancer undergoing prophylactic mastectomy. Clin Genet 2003; 64:111-21. [PMID: 12859406 DOI: 10.1034/j.1399-0004.2003.00097.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Prophylactic mastectomy (PM) is a risk-management option for women at high familial risk of breast cancer (BC). This study describes the PM experience of women enrolled in a large observational cohort study involving families with a history of hereditary breast cancer. Within 357 multiple-case BC families [119 (33%) BRCA1 or BRCA2 mutation positive], identified via family cancer clinics, 49 cases of PM [21 (43%) BRCA1 or BRCA2 mutation positive] were identified and their clinical, pathological and genetic features reviewed. Families with at least one incidence of PM displayed stronger breast/ovarian cancer histories than did families without PM. Median age at time of PM was 45 years (range 28-58). Ten cases (21%) were bilateral PMs in unaffected women and 39 cases were contralateral PMs in women with prior invasive BC (71%) or ductal carcinoma in situ (DCIS) (8%). Most (88%) underwent total mastectomy. Unnecessary axillary surgery occurred in eight subjects (16%). Malignant histology was found in three PM specimens (6%). Prior to genetic testing, PM was performed in two women who were subsequently shown not to carry the mutation specific to their family. Optimal utilization of genetic testing to guide surgical decision making, appropriate surgical technique and careful pathology examination of PM specimens, are important issues to consider prior to PM in women at high familial risk of BC.
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Affiliation(s)
- C I Scott
- Department of Hematology and Medical Oncology, Familial Cancer Center, Peter MacCallum Cancer Institute, St Andrew's Place, East Melbourne, Victoria, 3002, Australia
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Scott CL, Jenkins MA, Southey MC, Davis TA, Leary JA, Easton DF, Phillips KA, Hopper JL. Average age-specific cumulative risk of breast cancer according to type and site of germline mutations in BRCA1 and BRCA2 estimated from multiple-case breast cancer families attending Australian family cancer clinics. Hum Genet 2003; 112:542-51. [PMID: 12601471 DOI: 10.1007/s00439-003-0908-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2002] [Accepted: 12/23/2002] [Indexed: 11/25/2022]
Abstract
If the risk of disease is not the same for all germline mutations in a given gene, or if there are other familial modifiers of risk in carriers, then family-history-based estimates of average risk for detected mutations in that gene will depend on how carriers are sampled. Risk may also depend on the site or type of mutation. We studied 51 families with strong histories of breast cancer who attended Australian family cancer clinics and in which a germline mutation in BRCA1 or BRCA2 had been identified (28 and 23 families, respectively). Breast cancer risk in carriers was estimated under maximum likelihood theory, using information from all family members including those not tested, with adjustment for ascertainment by conditioning on genotype of the proband and family phenotype. The average cumulative risk of breast cancer for mutations in either BRCA1 or BRCA2 was 27% (95% confidence interval 16-43%) to age 50 and 64% (44-83%) to age 70. When grouped, the incidence in carriers was on average 17 (10-30) times that in non-carriers, independent of gene or mutation type (hazard ratios: 11 (4-29) for BRCA1, 23 (12-43) for BRCA2 (P for difference = 0.23); 13 (6-29) for protein-truncating mutations, 30 (9-104) for missense mutations and 30 (10-90) for splice-site mutations). For missense mutations, this was equivalent to a cumulative risk to age 70 of 83% (40-100%) and was due in part, but not totally, to the missense mutations 300 T>G in BRCA1 and 4486 G>T in BRCA2, which were individually found to be associated with high risk (P<0.001). Mutations in the central region of BRCA1 may be associated with a lower risk. The issue of the pathogenicity of specific variants may be addressed analytically providing there are one or more suitably informative families with that mutation.
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Affiliation(s)
- Clare L Scott
- Department of Haematology and Medical Oncology, Peter MacCallum Cancer Institute, Melbourne, Victoria, Australia
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Abstract
The identification of two breast cancer predisposition genes, BRCA1 and BRCA2, in the mid-1990s has led to a better understanding of the molecular pathogenesis of hereditary breast cancer and to a new era in breast cancer research. The present article reviews the current state of knowledge regarding the biology of BRCA1 and BRCA2, the cancer risks associated with carrying a pathogenic mutation in either of these genes and the possible genetic and environmental risk modifiers. The phenotypes of BRCA1- and BRCA2-associated hereditary breast cancers are reviewed. Research into BRCA1- and BRCA2-associated breast cancer is in its infancy and much remains to be learned, particularly about modifiers of genetic risk and the clinical implications of carrying a mutation in one of these two genes. Australia has an excellent research infrastructure in place, through the Australian Breast Cancer Family Study and the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer, to contribute substantially to future research in this area.
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Affiliation(s)
- K A Phillips
- Department of Haematology and Medical Oncology, Peter MacCallum Cancer Institute, Melbourne, Victoria, Australia.
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Marsh A, Spurdle AB, Turner BC, Fereday S, Thorne H, Pupo GM, Mann GJ, Hopper JL, Sambrook JF, Chenevix-Trench G. The intronic G13964C variant in p53 is not a high-risk mutation in familial breast cancer in Australia. Breast Cancer Res 2001; 3:346-9. [PMID: 11597326 PMCID: PMC57805 DOI: 10.1186/bcr319] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2001] [Revised: 06/21/2001] [Accepted: 06/27/2001] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Mutations in BRCA1 and BRCA2 account for approximately 50% of breast cancer families with more than four affected cases, whereas exonic mutations in p53, PTEN, CHK2 and ATM may account for a very small proportion. It was recently reported that an intronic variant of p53--G13964C--occurred in three out of 42 (7.1%) 'hereditary' breast cancer patients, but not in any of 171 'sporadic' breast cancer control individuals (P = 0.0003). If this relatively frequent occurrence of G13964C in familial breast cancer and absence in control individuals were confirmed, then this would suggest that the G13964C variant plays a role in breast cancer susceptibility. METHOD We genotyped 71 familial breast cancer patients and 143 control individuals for the G13964C variant using polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) analysis. RESULTS Three (4.2%; 95% confidence interval [CI] 0-8.9%) G13964C heterozygotes were identified. The variant was also identified in 5 out of 143 (3.5%; 95% CI 0.6-6.4%) control individuals without breast cancer or a family history of breast cancer, however, which is no different to the proportion found in familial cases (P = 0.9). CONCLUSION The present study would have had 80% power to detect an odds ratio of 4.4, and we therefore conclude that the G13946C polymorphism is not a 'high-risk' mutation for familial breast cancer.
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Affiliation(s)
- Anna Marsh
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - Amanda B Spurdle
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - Bruce C Turner
- Department of Radiation Oncology and Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Sian Fereday
- Anti Cancer Council of Victoria, Melbourne, Victoria, Australia
| | - Heather Thorne
- Peter MacCallum Cancer Institute, Melbourne, Victoria, Australia
| | - Gulietta M Pupo
- Westmead Institute for Cancer Research, University of Sydney at Westmead Millennium Institute, Westmead, New South Wales, Australia
| | - Graham J Mann
- Westmead Institute for Cancer Research, University of Sydney at Westmead Millennium Institute, Westmead, New South Wales, Australia
| | - John L Hopper
- University of Melbourne, Melbourne, Victoria, Australia
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