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Phillips KA, Kotsopoulos J, Domchek SM, Terry MB, Chamberlain JA, Bassett JK, Aeilts AM, Andrulis IL, Buys SS, Cui W, Daly MB, Eisen AF, Foulkes WD, Friedlander ML, Gronwald J, Hopper JL, John EM, Karlan BY, Kim RH, Kurian AW, Lubinski J, Metcalfe K, Nathanson KL, Singer CF, Southey MC, Symecko H, Tung N, Narod SA, Milne RL. Hormonal Contraception and Breast Cancer Risk for Carriers of Germline Mutations in BRCA1 and BRCA2. J Clin Oncol 2024:JCO2400176. [PMID: 39356978 DOI: 10.1200/jco.24.00176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 06/10/2024] [Accepted: 08/06/2024] [Indexed: 10/04/2024] Open
Abstract
PURPOSE It is uncertain whether, and to what extent, hormonal contraceptives increase breast cancer (BC) risk for germline BRCA1 or BRCA2 mutation carriers. METHODS Using pooled observational data from four prospective cohort studies, associations between hormonal contraceptive use and BC risk for unaffected female BRCA1 and BRCA2 mutation carriers were assessed using Cox regression. RESULTS Of 3,882 BRCA1 and 1,509 BRCA2 mutation carriers, 53% and 71%, respectively, had ever used hormonal contraceptives for at least 1 year (median cumulative duration of use, 4.8 and 5.7 years, respectively). Overall, 488 BRCA1 and 191 BRCA2 mutation carriers developed BC during median follow-up of 5.9 and 5.6 years, respectively. Although for BRCA1 mutation carriers, neither current nor past use of hormonal contraceptives for at least 1 year was statistically significantly associated with BC risk (hazard ratio [HR], 1.40 [95% CI, 0.94 to 2.08], P = .10 for current use; 1.16 [0.80 to 1.69], P = .4, 1.40 [0.99 to 1.97], P = .05, and 1.27 [0.98 to 1.63], P = .07 for past use 1-5, 6-10, and >10 years before, respectively), ever use was associated with increased risk (HR, 1.29 [95% CI, 1.04 to 1.60], P = .02). Furthermore, BC risk increased with longer cumulative duration of use, with an estimated proportional increase in risk of 3% (1%-5%, P = .002) for each additional year of use. For BRCA2 mutation carriers, there was no evidence that current or ever use was associated with increased BC risk (HR, 0.70 [95% CI, 0.33 to 1.47], P = .3 and 1.07 [0.73 to 1.57], P = .7, respectively). CONCLUSION Hormonal contraceptives were associated with increased BC risk for BRCA1 mutation carriers, especially if used for longer durations. Decisions about their use in women with BRCA1 mutations should carefully weigh the risks and benefits for each individual.
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Affiliation(s)
- Kelly-Anne Phillips
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Joanne Kotsopoulos
- Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Susan M Domchek
- Basser Center for BRCA, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - James A Chamberlain
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Julie K Bassett
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Amber M Aeilts
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Saundra S Buys
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Wanda Cui
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA
| | - Andrea F Eisen
- Odette Cancer Centre, Sunnybrook Health Sciences, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - William D Foulkes
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Michael L Friedlander
- Department of Medical Oncology, Prince of Wales and Royal Hospital for Women, Sydney, NSW, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Jacek Gronwald
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Beth Y Karlan
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA
| | - Raymond H Kim
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network and Sinai Health, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Allison W Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Jan Lubinski
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Kelly Metcalfe
- Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto, ON, Canada
- Bloomberg School of Nursing, University of Toronto, Toronto, ON, Canada
| | - Katherine L Nathanson
- Basser Center for BRCA, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Christian F Singer
- Department of Obstetrics and Gynecology and Center for Breast Health, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Heather Symecko
- Basser Center for BRCA, University of Pennsylvania, Philadelphia, PA
| | - Nadine Tung
- Beth Israel Deaconess Medical Center, Boston, MA
| | - Steven A Narod
- Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
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McDonald JA, Liao Y, Knight JA, John EM, Kurian AW, Daly M, Buys SS, Huang Y, Frost CJ, Andrulis IL, Colonna SV, Friedlander ML, Hopper JL, Chung WK, Genkinger JM, MacInnis RJ, Terry MB. Pregnancy-Related Factors and Breast Cancer Risk for Women Across a Range of Familial Risk. JAMA Netw Open 2024; 7:e2427441. [PMID: 39186276 DOI: 10.1001/jamanetworkopen.2024.27441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/27/2024] Open
Abstract
Importance Few studies have investigated whether the associations between pregnancy-related factors and breast cancer (BC) risk differ by underlying BC susceptibility. Evidence regarding variation in BC risk is critical to understanding BC causes and for developing effective risk-based screening guidelines. Objective To examine the association between pregnancy-related factors and BC risk, including modification by a of BC where scores are based on age and BC family history. Design, Setting, and Participants This cohort study included participants from the prospective Family Study Cohort (ProF-SC), which includes the 6 sites of the Breast Cancer Family Registry (US, Canada, and Australia) and the Kathleen Cuningham Foundation Consortium (Australia). Analyses were performed in a cohort of women enrolled from 1992 to 2011 without any personal history of BC who were followed up through 2017 with a median (range) follow-up of 10 (1-23) years. Data were analyzed from March 1992 to March 2017. Exposures Parity, number of full-term pregnancies (FTP), age at first FTP, years since last FTP, and breastfeeding. Main Outcomes and Measures BC diagnoses were obtained through self-report or report by a first-degree relative and confirmed through pathology and data linkages. Cox proportional hazards regression models estimated hazard ratios (HR) and 95% CIs for each exposure, examining modification by PARS of BC. Differences were assessed by estrogen receptor (ER) subtype. Results The study included 17 274 women (mean [SD] age, 46.7 [15.1] years; 791 African American or Black participants [4.6%], 1399 Hispanic or Latinx participants [8.2%], and 13 790 White participants [80.7%]) with 943 prospectively ascertained BC cases. Compared with nulliparous women, BC risk was higher after a recent pregnancy for those women with higher PARS (last FTP 0-5 years HR for interaction, 1.53; 95% CI, 1.13-2.07; P for interaction < .001). Associations between other exposures were limited to ER-negative disease. ER-negative BC was positively associated with increasing PARS and increasing years since last FTP (P for interaction < .001) with higher risk for recent pregnancy vs nulliparous women (last FTP 0-5 years HR for interaction, 1.54; 95% CI, 1.03-2.31). ER-negative BC was positively associated with increasing PARS and being aged 20 years or older vs less than 20 years at first FTP (P for interaction = .002) and inversely associated with multiparity vs nulliparity (P for interaction = .01). Conclusions and Relevance In this cohort study of women with no prior BC diagnoses, associations between pregnancy-related factors and BC risk were modified by PARS, with greater associations observed for ER-negative BC.
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Affiliation(s)
| | - Yuyan Liao
- Columbia University Irving Medical Center, New York, New York
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Esther M John
- Stanford University School of Medicine, Stanford, California
| | | | - Mary Daly
- Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Saundra S Buys
- University of Utah Health Sciences Center, Salt Lake City
| | - Yun Huang
- Ministry of Education, Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine and School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Caren J Frost
- College of Social Work, The University of Utah, Salt Lake City
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Sarah V Colonna
- University of Utah Health Huntsman Cancer Institute, Salt Lake City
| | | | - John L Hopper
- Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Wendy K Chung
- Columbia University Irving Medical Center, New York, New York
| | | | - Robert J MacInnis
- Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
- Cancer Council Victoria, East Melbourne, Victoria, Australia
| | - Mary Beth Terry
- Columbia University Irving Medical Center, New York, New York
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3
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Kast K, John EM, Hopper JL, Andrieu N, Noguès C, Mouret-Fourme E, Lasset C, Fricker JP, Berthet P, Mari V, Salle L, Schmidt MK, Ausems MGEM, Garcia EBG, van de Beek I, Wevers MR, Evans DG, Tischkowitz M, Lalloo F, Cook J, Izatt L, Tripathi V, Snape K, Musgrave H, Sharif S, Murray J, Colonna SV, Andrulis IL, Daly MB, Southey MC, de la Hoya M, Osorio A, Foretova L, Berkova D, Gerdes AM, Olah E, Jakubowska A, Singer CF, Tan Y, Augustinsson A, Rantala J, Simard J, Schmutzler RK, Milne RL, Phillips KA, Terry MB, Goldgar D, van Leeuwen FE, Mooij TM, Antoniou AC, Easton DF, Rookus MA, Engel C. Associations of height, body mass index, and weight gain with breast cancer risk in carriers of a pathogenic variant in BRCA1 or BRCA2: the BRCA1 and BRCA2 Cohort Consortium. Breast Cancer Res 2023; 25:72. [PMID: 37340476 PMCID: PMC10280955 DOI: 10.1186/s13058-023-01673-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 06/10/2023] [Indexed: 06/22/2023] Open
Abstract
INTRODUCTION Height, body mass index (BMI), and weight gain are associated with breast cancer risk in the general population. It is unclear whether these associations also exist for carriers of pathogenic variants in the BRCA1 or BRCA2 genes. PATIENTS AND METHODS An international pooled cohort of 8091 BRCA1/2 variant carriers was used for retrospective and prospective analyses separately for premenopausal and postmenopausal women. Cox regression was used to estimate breast cancer risk associations with height, BMI, and weight change. RESULTS In the retrospective analysis, taller height was associated with risk of premenopausal breast cancer for BRCA2 variant carriers (HR 1.20 per 10 cm increase, 95% CI 1.04-1.38). Higher young-adult BMI was associated with lower premenopausal breast cancer risk for both BRCA1 (HR 0.75 per 5 kg/m2, 95% CI 0.66-0.84) and BRCA2 (HR 0.76, 95% CI 0.65-0.89) variant carriers in the retrospective analysis, with consistent, though not statistically significant, findings from the prospective analysis. In the prospective analysis, higher BMI and adult weight gain were associated with higher postmenopausal breast cancer risk for BRCA1 carriers (HR 1.20 per 5 kg/m2, 95% CI 1.02-1.42; and HR 1.10 per 5 kg weight gain, 95% CI 1.01-1.19, respectively). CONCLUSION Anthropometric measures are associated with breast cancer risk for BRCA1 and BRCA2 variant carriers, with relative risk estimates that are generally consistent with those for women from the general population.
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Affiliation(s)
- Karin Kast
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
| | - Esther M John
- Department of Epidemiology & Population Health and of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Nadine Andrieu
- INSERM U900, Paris, France
- Institut Curie, Paris, France
- Mines Paris Tech, Fontainebleau, France
- PSL Research University, Paris, France
| | - Catherine Noguès
- Aix Marseille Université, INSERM, IRD, SESSTIM, Marseille, France
- Département d'Anticipation et de Suivi Des Cancers, Oncogénétique Clinique, Institut Paoli-Calmettes, Marseille, France
| | | | | | | | | | | | - Lucie Salle
- Oncogénétique Poitou-Charentes, Niort, France
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Margreet G E M Ausems
- Department of Genetics, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Irma van de Beek
- Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Marijke R Wevers
- Department of Clinical Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - D Gareth Evans
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- Manchester Breast Centre, Oglesby Cancer Research Centre, The Christie, University of Manchester, Manchester, UK
| | - Marc Tischkowitz
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Fiona Lalloo
- Clinical Genetics Service, Manchester Centre for Genomic Medicine, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Jackie Cook
- Sheffield Clinical Genetics Service, Sheffield Children's Hospital, Sheffield, UK
| | - Louise Izatt
- Department of Clinical Genetics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Vishakha Tripathi
- Clinical Genetics Service, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Katie Snape
- Department of Clinical Genetics, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Hannah Musgrave
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Saba Sharif
- West Midlands Regional Genetics Service, Birmingham Women's Hospital Healthcare NHS Trust, Edgbaston, Birmingham, UK
| | - Jennie Murray
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK
- West Midlands Regional Genetics Service, Birmingham Women's Hospital Healthcare NHS Trust, Edgbaston, Birmingham, UK
- South East of Scotland Regional Genetics Service, Western General Hospital, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Sarah V Colonna
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT, USA
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at, Monash Health Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Miguel de la Hoya
- Molecular Oncology Laboratory, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Ana Osorio
- Familial Cancer Clinical Unit, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO) and Spanish Network On Rare Diseases (CIBERER), Madrid, Spain
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Dita Berkova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Anne-Marie Gerdes
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Edith Olah
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Christian F Singer
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Yen Tan
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Annelie Augustinsson
- Department of Oncology, Clinical Sciences in Lund, Lund University Hospital, Lund, Sweden
| | | | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec-Université Laval Research Center, Quebec City, QC, Canada
| | - Rita K Schmutzler
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Kelly-Anne Phillips
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Victoria, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health and the Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - David Goldgar
- Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Flora E van Leeuwen
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Thea M Mooij
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Matti A Rookus
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
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4
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Kehm RD, MacInnis RJ, John EM, Liao Y, Kurian AW, Genkinger JM, Knight JA, Colonna SV, Chung WK, Milne R, Zeinomar N, Dite GS, Southey MC, Giles GG, McLachlan SA, Whitaker KD, Friedlander ML, Weideman PC, Glendon G, Nesci S, Phillips KA, Andrulis IL, Buys SS, Daly MB, Hopper JL, Terry MB. Recreational Physical Activity and Outcomes After Breast Cancer in Women at High Familial Risk. JNCI Cancer Spectr 2021; 5:pkab090. [PMID: 34950851 PMCID: PMC8692829 DOI: 10.1093/jncics/pkab090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/08/2021] [Accepted: 10/14/2021] [Indexed: 12/13/2022] Open
Abstract
Background Recreational physical activity (RPA) is associated with improved survival after breast cancer (BC) in average-risk women, but evidence is limited for women who are at increased familial risk because of a BC family history or BRCA1 and BRCA2 pathogenic variants (BRCA1/2 PVs). Methods We estimated associations of RPA (self-reported average hours per week within 3 years of BC diagnosis) with all-cause mortality and second BC events (recurrence or new primary) after first invasive BC in women in the Prospective Family Study Cohort (n = 4610, diagnosed 1993-2011, aged 22-79 years at diagnosis). We fitted Cox proportional hazards regression models adjusted for age at diagnosis, demographics, and lifestyle factors. We tested for multiplicative interactions (Wald test statistic for cross-product terms) and additive interactions (relative excess risk due to interaction) by age at diagnosis, body mass index, estrogen receptor status, stage at diagnosis, BRCA1/2 PVs, and familial risk score estimated from multigenerational pedigree data. Statistical tests were 2-sided. Results We observed 1212 deaths and 473 second BC events over a median follow-up from study enrollment of 11.0 and 10.5 years, respectively. After adjusting for covariates, RPA (any vs none) was associated with lower all-cause mortality of 16.1% (95% confidence interval [CI] = 2.4% to 27.9%) overall, 11.8% (95% CI = -3.6% to 24.9%) in women without BRCA1/2 PVs, and 47.5% (95% CI = 17.4% to 66.6%) in women with BRCA1/2 PVs (RPA*BRCA1/2 multiplicative interaction P = .005; relative excess risk due to interaction = 0.87, 95% CI = 0.01 to 1.74). RPA was not associated with risk of second BC events. Conclusion Findings support that RPA is associated with lower all-cause mortality in women with BC, particularly in women with BRCA1/2 PVs.
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Affiliation(s)
- Rebecca D Kehm
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Esther M John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Yuyan Liao
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Allison W Kurian
- Division of Medical Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeanine M Genkinger
- 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
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sarah V Colonna
- Division of Medical Oncology, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Wendy K Chung
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA
- Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY, USA
| | - Roger Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 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
| | - Nur Zeinomar
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - 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, Melbourne, Victoria, Australia
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 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, Melbourne, Victoria, Australia
- Department of Medical Oncology, St Vincent’s Hospital, Fitzroy, Melbourne, Victoria, Australia
| | - Kristen D Whitaker
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - 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, Sydney, New South Wales, Australia
| | - Prue C Weideman
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 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
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 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
| | - 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, Salt Lake City, UT, USA
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 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
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5
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Macdonald C, Chamberlain JA, Mazza D, Milne RL, Phillips KA. Underutilisation of breast cancer prevention medication in Australia. Breast 2021; 60:35-37. [PMID: 34455228 PMCID: PMC8399345 DOI: 10.1016/j.breast.2021.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/09/2021] [Accepted: 08/19/2021] [Indexed: 11/17/2022] Open
Abstract
Increased implementation of proven prevention strategies is required to combat rising breast cancer incidence. We assessed use of risk reducing medication (RRMed) by Australian women at elevated breast cancer risk. Only 2.4% had ever used RRMed. Higher breast cancer risk was statistically significantly associated with use of RRMed (OR 1.82, 95%CI: 1.08–3.07, p = 0.02 for ≥30% lifetime risk compared with 16%–29% lifetime risk), but parity, education level and family history of breast cancer were not. Breast cancer prevention medications are underutilised. Efforts are needed to incorporate breast cancer risk assessment and risk management discussions into routine health assessments for women. Risk-reducing medication is infrequently used by Australian women at increased risk of breast cancer. Higher breast cancer risk is associated with greater uptake of risk reducing medication, but not with adherence. Routine breast cancer risk assessment may increase risk reducing medication use.
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Affiliation(s)
- Courtney Macdonald
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | | | - Danielle Mazza
- Department of General Practice, Monash University, Melbourne, Australia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Melbourne, Australia
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- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia; The Research Department, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Kelly-Anne Phillips
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
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6
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Survival from breast cancer in women with a BRCA2 mutation by treatment. Br J Cancer 2021; 124:1524-1532. [PMID: 33597716 PMCID: PMC8076275 DOI: 10.1038/s41416-020-01164-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 10/20/2020] [Accepted: 10/29/2020] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND The impact of various breast-cancer treatments on patients with a BRCA2 mutation has not been studied. We sought to estimate the impact of bilateral oophorectomy and other treatments on breast cancer-specific survival among patients with a germline BRCA2 mutation. METHODS We identified 664 women with stage I-III breast cancer and a BRCA2 mutation by combining five different datasets (retrospective and prospective). Subjects were followed for 7.2 years from diagnosis to death from breast cancer. Tumour characteristics and cancer treatments were patient-reported and derived from medical records. Predictors of survival were determined using Cox proportional hazard models, adjusted for other treatments and for prognostic features. RESULTS The 10-year breast-cancer survival for ER-positive patients was 78.9% and for ER-negative patients was 82.3% (adjusted HR = 1.23 (95% CI, 0.62-2.45, p = 0.55)). The 10-year breast-cancer survival for women who had a bilateral oophorectomy was 89.1% and for women who did not have an oophorectomy was 59.0% (adjusted HR = 0.45; 95% CI, 0.28-0.72, p = 0.001). The adjusted hazard ratio for chemotherapy was 0.83 (95% CI, 0.65-1.53: p = 0.56). CONCLUSIONS For women with breast cancer and a germline BRCA2 mutation, positive ER status does not predict superior survival. Oophorectomy is associated with a reduced risk of death from breast cancer and should be considered in the treatment plan.
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7
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Macdonald C, Mazza D, Hickey M, Hunter M, Keogh LA, Investigators KC, Jones SC, Saunders C, Nesci S, Milne RL, McLachlan SA, Hopper JL, Friedlander ML, Emery J, Phillips KA. Motivators of Inappropriate Ovarian Cancer Screening: A Survey of Women and Their Clinicians. JNCI Cancer Spectr 2021; 5:pkaa110. [PMID: 33554034 PMCID: PMC7853181 DOI: 10.1093/jncics/pkaa110] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 09/22/2020] [Accepted: 10/08/2020] [Indexed: 12/25/2022] Open
Abstract
Background This study examined why women and doctors screen for ovarian cancer (OC) contrary to guidelines. Methods Surveys, based on the Theoretical Domains Framework, were sent to women in the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer and family physicians and gynecologists who organized their screening. Results Of 1264 Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer women, 832 (65.8%) responded. In the past 2 years, 126 (15.1%) had screened. Most of these (n = 101, 80.2%) would continue even if their doctor told them it is ineffective. For women, key OC screening motivators operated in the domains of social role and goals (staying healthy for family, 93.9%), emotion and reinforcement (peace of mind, 93.1%), and beliefs about capabilities (tests are easy to have, 91.9%). Of 531 clinicians 252 (47.5%) responded; a minority (family physicians 45.8%, gynecologists 16.7%) thought OC screening was useful. For gynecologists, the main motivators of OC screening operated in the domains of environmental context (lack of other screening options, 27.6%), and emotion (patient peace of mind, 17.2%; difficulty discontinuing screening, 13.8%). For family physicians,, the strongest motivators were in the domains of social influence (women ask for these tests, 20.7%), goals (a chance these tests will detect cancer early, 16.4%), emotion (patient peace of mind, 13.8%), and environmental context (no other OC screening options, 11.2%). Conclusion Reasons for OC screening are mostly patient driven. Clinician knowledge and practice are discordant. Motivators of OC screening encompass several domains, which could be targeted in interventions to reduce inappropriate OC screening.
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Affiliation(s)
- Courtney Macdonald
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Danielle Mazza
- Department of General Practice, Monash University, Melbourne, Australia
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, University of Melbourne and the Royal Women's Hospital, Melbourne, Australia
| | - Morgan Hunter
- Centre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Louise A Keogh
- Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - kConFab Investigators
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Sandra C Jones
- ACU Engagement, Australian Catholic University, Melbourne, Australia
| | | | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Sue-Anne McLachlan
- Department of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | | | - Jon Emery
- Department of General Practice and Centre for Cancer Research, University of Melbourne, Victorian Comprehensive Cancer Centre, Melbourne, Australia
| | - Kelly-Anne Phillips
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
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8
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MacInnis RJ, Knight JA, Chung WK, Milne RL, Whittemore AS, Buchsbaum R, Liao Y, Zeinomar N, Dite GS, Southey MC, Goldgar D, Giles GG, Kurian AW, Andrulis IL, John EM, Daly MB, Buys SS, Phillips KA, Hopper JL, Terry MB. Comparing 5-Year and Lifetime Risks of Breast Cancer using the Prospective Family Study Cohort. J Natl Cancer Inst 2020; 113:785-791. [PMID: 33301022 DOI: 10.1093/jnci/djaa178] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 08/06/2020] [Accepted: 10/13/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Clinical guidelines often use predicted lifetime risk from birth to define criteria for making decisions regarding breast cancer screening rather than thresholds based on absolute 5-year risk from current age. METHODS We used the Prospective Family Cohort Study of 14 657 women without breast cancer at baseline in which, during a median follow-up of 10 years, 482 women were diagnosed with invasive breast cancer. We examined the performances of the International Breast Cancer Intervention Study (IBIS) and Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk models when using the alternative thresholds by comparing predictions based on 5-year risk with those based on lifetime risk from birth and remaining lifetime risk. All statistical tests were 2-sided. RESULTS Using IBIS, the areas under the receiver-operating characteristic curves were 0.66 (95% confidence interval = 0.63 to 0.68) and 0.56 (95% confidence interval = 0.54 to 0.59) for 5-year and lifetime risks, respectively (Pdiff < .001). For equivalent sensitivities, the 5-year incidence almost always had higher specificities than lifetime risk from birth. For women aged 20-39 years, 5-year risk performed better than lifetime risk from birth. For women aged 40 years or older, receiver-operating characteristic curves were similar for 5-year and lifetime IBIS risk from birth. Classifications based on remaining lifetime risk were inferior to 5-year risk estimates. Results were similar using BOADICEA. CONCLUSIONS Our analysis shows that risk stratification using clinical models will likely be more accurate when based on predicted 5-year risk compared with risks based on predicted lifetime and remaining lifetime, particularly for women aged 20-39 years.
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Affiliation(s)
- Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - 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
| | - Wendy K Chung
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.,Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Alice S Whittemore
- Department of Health Research and Policy and of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Richard Buchsbaum
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Yuyan Liao
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Nur Zeinomar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - 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.,Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
| | - David Goldgar
- Department of Dermatology and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Allison W Kurian
- Department of Medicine and Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | | | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.,Department of Molecular Genetics and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Esther M John
- Department of Epidemiology & Population Health and Medicine 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
| | - Saundra S Buys
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT, USA
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.,Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Mary Beth Terry
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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9
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Macdonald C, Saunders CM, Keogh LA, Hunter M, Mazza D, McLachlan SA, Jones SC, Nesci S, Friedlander ML, Hopper JL, Emery JD, Hickey M, Milne RL, Phillips KA. Breast Cancer Chemoprevention: Use and Views of Australian Women and Their Clinicians. Cancer Prev Res (Phila) 2020; 14:131-144. [PMID: 33115784 DOI: 10.1158/1940-6207.capr-20-0369] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/27/2020] [Accepted: 10/15/2020] [Indexed: 11/16/2022]
Abstract
Guidelines endorse the use of chemoprevention for breast cancer risk reduction. This study examined the barriers and facilitators to chemoprevention use for Australian women at increased risk of breast cancer, and their clinicians. Surveys, based on the Theoretical Domains Framework, were mailed to 1,113 women at ≥16% lifetime risk of breast cancer who were enrolled in the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer cohort study (kConFab), and their 524 treating clinicians. Seven hundred twenty-five women (65%) and 221 (42%) clinicians responded. Only 10 (1.4%) kConFab women had ever taken chemoprevention. Three hundred seventy-eight (52%) kConFab women, two (3%) breast surgeons, and 51 (35%) family physicians were not aware of chemoprevention. For women, the strongest barriers to chemoprevention were side effects (31%) and inadequate information (23%), which operate in the Theoretical Domains Framework domains of "beliefs about consequences" and "knowledge," respectively. Strongest facilitators related to tamoxifen's long-term efficacy (35%, "knowledge," "beliefs about consequences," and "goals" domains), staying healthy for family (13%, "social role" and "goals" domains), and abnormal breast biopsy (13%, "environmental context" domain). The strongest barrier for family physicians was insufficient knowledge (45%, "knowledge" domain) and for breast surgeons was medication side effects (40%, "beliefs about consequences" domain). The strongest facilitators for both clinician groups related to clear guidelines, strong family history, and better tools to select patients ("environmental context and resources" domain). Clinician knowledge and resources, and beliefs about the side-effect consequences of chemoprevention, are key domains that could be targeted to potentially enhance uptake. PREVENTION RELEVANCE: Despite its efficacy in reducing breast cancer incidence, chemoprevention is underutilised. This survey study of Australian women and their clinicians used behavioural change theory to identify modifiable barriers to chemoprevention uptake, and to suggest interventions such as policy change, educational resources and public campaigns, that may increase awareness and use.See related Spotlight by Vogel, p. 1.
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Affiliation(s)
- Courtney Macdonald
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
| | | | - Louise A Keogh
- Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Morgan Hunter
- Centre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Danielle Mazza
- Department of General Practice, Monash University, Melbourne, Australia
| | - Sue-Anne McLachlan
- Department of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Australia.,Department of Medical Oncology, St Vincent's Hospital, Fitzroy, Melbourne, Australia
| | - Sandra C Jones
- ACU Engagement, Australian Catholic University, Melbourne, Australia
| | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Michael L Friedlander
- Prince of Wales Clinical School University of New South Wales, Sydney, Australia.,Department of Medical Oncology, Prince of Wales Hospital, Randwick, NSW, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Jon D Emery
- Department of General Practice and Centre for Cancer Research, University of Melbourne, Victorian Comprehensive Cancer Centre, Melbourne, Australia.,School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, Australia
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, University of Melbourne and the Royal Women's Hospital, Melbourne, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Melbourne, Australia
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10
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MacInnis RJ, Liao Y, Knight JA, Milne RL, Whittemore AS, Chung WK, Leoce N, Buchsbaum R, Zeinomar N, Dite GS, Southey MC, Goldgar D, Giles GG, McLachlan SA, Weideman PC, Nesci S, Friedlander ML, Glendon G, Andrulis IL, John EM, Daly MB, Buys SS, Phillips KA, Hopper JL, Terry MB. Considerations When Using Breast Cancer Risk Models for Women with Negative BRCA1/BRCA2 Mutation Results. J Natl Cancer Inst 2020; 112:418-422. [PMID: 31584660 DOI: 10.1093/jnci/djz194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 09/06/2019] [Accepted: 09/17/2019] [Indexed: 01/20/2023] Open
Abstract
The performance of breast cancer risk models for women with a family history but negative BRCA1 and/or BRCA2 mutation test results is uncertain. We calculated the cumulative 10-year invasive breast cancer risk at cohort entry for 14 657 unaffected women (96.1% had an affected relative) not known to carry BRCA1 or BRCA2 mutations at baseline using three pedigree-based models (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm, BRCAPRO, and International Breast Cancer Intervention Study). During follow-up, 482 women were diagnosed with invasive breast cancer. Mutation testing was conducted independent of incident cancers. All models underpredicted risk by 26.3%-56.7% for women who tested negative but whose relatives had not been tested (n = 1363; 63 breast cancers). Although replication studies with larger sample sizes are needed, until these models are recalibrated for women who test negative and have no relatives tested, caution should be used when considering changing the breast cancer risk management intensity of such women based on risk estimates from these models.
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Affiliation(s)
- Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Yuyan Liao
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York
| | - 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
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Alice S Whittemore
- Departments of Health Research and Policy and Biomedical Data Science, Stanford University School of Medicine, Stanford
| | - Wendy K Chung
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York.,Departments of Pediatrics and Medicine, Columbia University, New York
| | - Nicole Leoce
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York
| | - Richard Buchsbaum
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York
| | - Nur Zeinomar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - 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.,Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
| | - David Goldgar
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, 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
| | - Prue C Weideman
- Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, 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
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | | | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.,The Research Department, The Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Departments of Molecular Genetics and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Esther M John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA
| | - Saundra S Buys
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT
| | - Kelly Anne Phillips
- Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, 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
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York.,Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York
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11
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Li H, Terry MB, Antoniou AC, Phillips KA, Kast K, Mooij TM, Engel C, Noguès C, Stoppa-Lyonnet D, Lasset C, Berthet P, Mari V, Caron O, Barrowdale D, Frost D, Brewer C, Evans DG, Izatt L, Side L, Walker L, Tischkowitz M, Rogers MT, Porteous ME, Snape K, Meijers-Heijboer HEJ, Gille JJP, Blok MJ, Hoogerbrugge N, Daly MB, Andrulis IL, Buys SS, John EM, McLachlan SA, Friedlander M, Tan YY, Osorio A, Caldes T, Jakubowska A, Simard J, Singer CF, Olah E, Navratilova M, Foretova L, Gerdes AM, Roos-Blom MJ, Arver B, Olsson H, Schmutzler RK, Hopper JL, Milne RL, Easton DF, Van Leeuwen FE, Rookus MA, Andrieu N, Goldgar DE. Alcohol Consumption, Cigarette Smoking, and Risk of Breast Cancer for BRCA1 and BRCA2 Mutation Carriers: Results from The BRCA1 and BRCA2 Cohort Consortium. Cancer Epidemiol Biomarkers Prev 2020; 29:368-378. [PMID: 31792088 PMCID: PMC7611162 DOI: 10.1158/1055-9965.epi-19-0546] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 08/08/2019] [Accepted: 11/22/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Tobacco smoking and alcohol consumption have been intensively studied in the general population to assess their effects on the risk of breast cancer, but very few studies have examined these effects in BRCA1 and BRCA2 mutation carriers. Given the high breast cancer risk for mutation carriers and the importance of BRCA1 and BRCA2 in DNA repair, better evidence on the associations of these lifestyle factors with breast cancer risk is essential. METHODS Using a large international pooled cohort of BRCA1 and BRCA2 mutation carriers, we conducted retrospective (5,707 BRCA1 mutation carriers and 3,525 BRCA2 mutation carriers) and prospective (2,276 BRCA1 mutation carriers and 1,610 BRCA2 mutation carriers) analyses of alcohol and tobacco consumption using Cox proportional hazards models. RESULTS For both BRCA1 and BRCA2 mutation carriers, none of the smoking-related variables was associated with breast cancer risk, except smoking for more than 5 years before a first full-term pregnancy (FFTP) when compared with parous women who never smoked. For BRCA1 mutation carriers, the HR from retrospective analysis (HRR) was 1.19 [95% confidence interval (CI), 1.02-1.39] and the HR from prospective analysis (HRP) was 1.36 (95% CI, 0.99-1.87). For BRCA2 mutation carriers, smoking for more than 5 years before an FFTP showed an association of a similar magnitude, but the confidence limits were wider (HRR = 1.25; 95% CI, 1.01-1.55 and HRP = 1.30; 95% CI, 0.83-2.01). For both carrier groups, alcohol consumption was not associated with breast cancer risk. CONCLUSIONS The finding that smoking during the prereproductive years increases breast cancer risk for mutation carriers warrants further investigation. IMPACT This is the largest prospective study of BRCA mutation carriers to assess these important risk factors.
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Affiliation(s)
- Hongyan Li
- Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
| | - Mary Beth Terry
- Department of Epidemiology, Columbia University, New York, New York
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, United Kingdom
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Victoria, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Karin Kast
- Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität, Dresden, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany
- German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Thea M Mooij
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany
| | - Catherine Noguès
- Institut Paoli-Calmettes, Département d'Anticipation et de Suivi des Cancers, Oncogénétique Clinique and Aix Marseille Univ, INSERM, IRD, SESSTIM, Marseille, France
| | - Dominique Stoppa-Lyonnet
- Institut Curie, Service de Génétique Médicale, Paris, France
- Inserm, U830, Université Paris Descartes, Paris, France
| | - Christine Lasset
- Unité de prévention et Epidémiologie Génétique, Centre Léon Bérard - Lyon/UMR CNRS 5558, Université de Lyon - Lyon, France
| | - Pascaline Berthet
- Département de biopathologie, Oncogénétique clinique, Centre François Baclesse - Caen, France
| | - Veronique Mari
- CLCC Antoine Lacassagne, Département d'Hématologie - Oncologie médicale, Nice, France
| | - Olivier Caron
- Département de Médecine, Gustave Roussy Hôpital Universitaire - Villejuif, France
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, United Kingdom
| | - Debra Frost
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, United Kingdom
| | - Carole Brewer
- Department of Clinical Genetics, Royal Devon & Exeter Hospital, Exeter, United Kingdom
| | - D Gareth Evans
- Genomic Medicine, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Sciences Centre, Division of Evolution and Genomic Sciences, Manchester University, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
| | - Louise Izatt
- Clinical Genetics, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
| | - Lucy Side
- Wessex Clinical Genetics Service, The Princess Anne Hospital, Southampton, United Kingdom
| | - Lisa Walker
- Oxford Regional Genetics Service, Churchill Hospital, Oxford, United Kingdom
| | - Marc Tischkowitz
- University of Cambridge Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, and Cancer Research UK Cambridge Center, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Mark T Rogers
- All Wales Medical Genetics Services, University Hospital of Wales, Cardiff, United Kingdom
| | - Mary E Porteous
- South East of Scotland Regional Genetics Service, Western General Hospital, Edinburgh, United Kingdom
| | - Katie Snape
- Medical Genetics Unit, St. George's, University of London, London, United Kingdom
| | | | - Johan J P Gille
- Department of Clinical Genetics, VU University Medical Center, Amsterdam, the Netherlands
| | - Marinus J Blok
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Nicoline Hoogerbrugge
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Irene L Andrulis
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Saundra S Buys
- Department of Medicine, University of Utah Health Sciences Center, Huntsman Cancer Institute, Salt Lake City, Utah
| | - Esther M John
- Stanford University School of Medicine, Department of Medicine, Division of Oncology, and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - 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 Friedlander
- Department of Medical Oncology, Prince of Wales Hospital, Randwick, New South Wales, Australia
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Yen Y Tan
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Ana Osorio
- Human Genetics Group, Spanish National Cancer Centre (CNIO) and Biomedical Network on Rare Diseases (CIBERER), Madrid, Spain
| | - Trinidad Caldes
- Molecular Oncology Laboratory, Hospital Clinico San Carlos, IdISSC, CIBERONC (ISCIII), Madrid, Spain
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Quebec City, Quebec, Canada
| | - Christian F Singer
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Edith Olah
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | - Marie Navratilova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Zluty kopec 7, Brno, Czech Republic
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Zluty kopec 7, Brno, Czech Republic
| | - Anne-Marie Gerdes
- The Department of Oncology and Pathology, Karolinska Institute, Stockholm, Sweden
| | - Marie-José Roos-Blom
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Brita Arver
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Oncology, Lund University Hospital, Lund, Sweden
| | - Håkan Olsson
- Department of Oncology, Lund University Hospital, Lund, Sweden
| | - Rita K Schmutzler
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Victoria, Australia
- Division of Cancer Epidemiology and Intelligence, Cancer Council Victoria, Melbourne, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, United Kingdom
- Centre for Cancer Genetic Epidemiology, Department of Oncology, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, United Kingdom
| | - Flora E Van Leeuwen
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Matti A Rookus
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Nadine Andrieu
- INSERM, U900, Paris, France.
- Institut Curie, Paris, France
- Mines Paris Tech, Fontainebleau, France
- PSL Research University, Paris, France
| | - David E Goldgar
- Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah.
- Department of Dermatology, University of Utah School of Medicine, Salt Lake City, Utah
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12
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Mavaddat N, Antoniou AC, Mooij TM, Hooning MJ, Heemskerk-Gerritsen BA, Noguès C, Gauthier-Villars M, Caron O, Gesta P, Pujol P, Lortholary A, Barrowdale D, Frost D, Evans DG, Izatt L, Adlard J, Eeles R, Brewer C, Tischkowitz M, Henderson A, Cook J, Eccles D, van Engelen K, Mourits MJE, Ausems MGEM, Koppert LB, Hopper JL, John EM, Chung WK, Andrulis IL, Daly MB, Buys SS, Benitez J, Caldes T, Jakubowska A, Simard J, Singer CF, Tan Y, Olah E, Navratilova M, Foretova L, Gerdes AM, Roos-Blom MJ, Van Leeuwen FE, Arver B, Olsson H, Schmutzler RK, Engel C, Kast K, Phillips KA, Terry MB, Milne RL, Goldgar DE, Rookus MA, Andrieu N, Easton DF. Risk-reducing salpingo-oophorectomy, natural menopause, and breast cancer risk: an international prospective cohort of BRCA1 and BRCA2 mutation carriers. Breast Cancer Res 2020; 22:8. [PMID: 31948486 PMCID: PMC6966793 DOI: 10.1186/s13058-020-1247-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 01/05/2020] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The effect of risk-reducing salpingo-oophorectomy (RRSO) on breast cancer risk for BRCA1 and BRCA2 mutation carriers is uncertain. Retrospective analyses have suggested a protective effect but may be substantially biased. Prospective studies have had limited power, particularly for BRCA2 mutation carriers. Further, previous studies have not considered the effect of RRSO in the context of natural menopause. METHODS A multi-centre prospective cohort of 2272 BRCA1 and 1605 BRCA2 mutation carriers was followed for a mean of 5.4 and 4.9 years, respectively; 426 women developed incident breast cancer. RRSO was modelled as a time-dependent covariate in Cox regression, and its effect assessed in premenopausal and postmenopausal women. RESULTS There was no association between RRSO and breast cancer for BRCA1 (HR = 1.23; 95% CI 0.94-1.61) or BRCA2 (HR = 0.88; 95% CI 0.62-1.24) mutation carriers. For BRCA2 mutation carriers, HRs were 0.68 (95% CI 0.40-1.15) and 1.07 (95% CI 0.69-1.64) for RRSO carried out before or after age 45 years, respectively. The HR for BRCA2 mutation carriers decreased with increasing time since RRSO (HR = 0.51; 95% CI 0.26-0.99 for 5 years or longer after RRSO). Estimates for premenopausal women were similar. CONCLUSION We found no evidence that RRSO reduces breast cancer risk for BRCA1 mutation carriers. A potentially beneficial effect for BRCA2 mutation carriers was observed, particularly after 5 years following RRSO. These results may inform counselling and management of carriers with respect to RRSO.
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Affiliation(s)
- Nasim Mavaddat
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
| | - Antonis C. Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
| | - Thea M. Mooij
- Department of Epidemiology, Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Maartje J. Hooning
- Department of Medical Oncology, Family Center Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | | | - Catherine Noguès
- DASC, Oncogénétique Clinique, Institut Paoli-Calmettes, Marseille, France
| | | | - Olivier Caron
- Département de Médecine Oncologique, Gustave Roussy Hôpital Universitaire, Villejuif, France
| | - Paul Gesta
- Centre Hospitalier, Service Régional d’Oncologie Génétique Poitou-Charentes, Niort, France
| | - Pascal Pujol
- Unité d’Oncogénétique, CHU Arnaud de Villeneuve, Montpellier, France
| | - Alain Lortholary
- Centre Catherine de Sienne, Service d’Oncologie Médicale, Nantes, France
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
| | - Debra Frost
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
| | - D. Gareth Evans
- Genomic Medicine, Manchester Academic Health Sciences Centre, Division of Evolution and Genomic Sciences, Manchester University, Central Manchester, University Hospitals NHS Foundation Trust, Manchester, UK
| | - Louise Izatt
- Clinical Genetics, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Julian Adlard
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital and University of Leeds, Leeds, UK
| | - Ros Eeles
- Oncogenetics Team, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
| | - Carole Brewer
- Department of Clinical Genetics, Royal Devon & Exeter Hospital, Exeter, UK
| | - Marc Tischkowitz
- Academic Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Alex Henderson
- Institute of Genetic Medicine, Centre for Life, Newcastle Upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK
| | - Jackie Cook
- Sheffield Clinical Genetics Service, Sheffield Children’s Hospital, Sheffield, UK
| | - Diana Eccles
- University of Southampton Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton, UK
| | - Klaartje van Engelen
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Marian J. E. Mourits
- Department of Gynaecological Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | - Linetta B. Koppert
- Department of Surgical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010 Australia
| | - Esther M. John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA USA
| | - Wendy K. Chung
- Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY USA
| | - Irene L. Andrulis
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario Canada
| | - Mary B. Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA USA
| | - Saundra S. Buys
- Department of Medicine, Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, UT USA
| | - kConFab Investigators
- Research Department, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
| | - Javier Benitez
- Human Genetics Group and Genotyping Unit, CEGEN, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Trinidad Caldes
- Molecular Oncology Laboratory, Hospital Clinico San Carlos, IdISSC, CIBERONC (ISCIII), Madrid, Spain
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec, Université Laval Research Center, 2705 Laurier Boulevard, Quebec City, Quebec Canada
| | - Christian F. Singer
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, A 1090 Vienna, Austria
| | - Yen Tan
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, A 1090 Vienna, Austria
| | - Edith Olah
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | - Marie Navratilova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Zluty kopec 7, 65653 Brno, Czech Republic
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Zluty kopec 7, 65653 Brno, Czech Republic
| | - Anne-Marie Gerdes
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Marie-José Roos-Blom
- Department of Epidemiology, Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Flora E. Van Leeuwen
- Department of Epidemiology, Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Brita Arver
- The Department of Oncology and Pathology, Karolinska Institute, 171 76 Stockholm, Sweden
- Department of Oncology, Lund University Hospital, Lund, Sweden
| | - Håkan Olsson
- Department of Oncology, Lund University Hospital, Lund, Sweden
| | - Rita K. Schmutzler
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Karin Kast
- Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010 Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
- Department of Medical Oncology Peter MacCallum Cancer Centre, Locked Bag 1, A’Beckett St, East Melbourne, Victoria 8006 Australia
| | - Mary Beth Terry
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY USA
- Department of Epidemiology, Columbia University, New York, NY USA
| | - Roger L. Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010 Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria Australia
| | - David E. Goldgar
- Department of Dermatology, University of Utah School of Medicine, 30 North 1900 East, SOM 4B454, Salt Lake City, UT 841232 USA
| | - Matti A. Rookus
- Department of Epidemiology, Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Nadine Andrieu
- INSERM, U900, Paris, France
- Institut Curie, Paris, France
- Mines Paris Tech, Fontainebleau, France
- PSL Research University, Paris, France
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
| | - on behalf of IBCCS
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
- Department of Epidemiology, Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
- Department of Medical Oncology, Family Center Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
- DASC, Oncogénétique Clinique, Institut Paoli-Calmettes, Marseille, France
- Institut Curie, Service de Génétique, Paris, France
- Département de Médecine Oncologique, Gustave Roussy Hôpital Universitaire, Villejuif, France
- Centre Hospitalier, Service Régional d’Oncologie Génétique Poitou-Charentes, Niort, France
- Unité d’Oncogénétique, CHU Arnaud de Villeneuve, Montpellier, France
- Centre Catherine de Sienne, Service d’Oncologie Médicale, Nantes, France
- Genomic Medicine, Manchester Academic Health Sciences Centre, Division of Evolution and Genomic Sciences, Manchester University, Central Manchester, University Hospitals NHS Foundation Trust, Manchester, UK
- Clinical Genetics, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital and University of Leeds, Leeds, UK
- Oncogenetics Team, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
- Department of Clinical Genetics, Royal Devon & Exeter Hospital, Exeter, UK
- Academic Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
- Institute of Genetic Medicine, Centre for Life, Newcastle Upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK
- Sheffield Clinical Genetics Service, Sheffield Children’s Hospital, Sheffield, UK
- University of Southampton Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton, UK
- The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Coordinating Center: Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Gynaecological Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Surgical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010 Australia
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA USA
- Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY USA
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario Canada
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA USA
- Department of Medicine, Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, UT USA
- Research Department, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
- Human Genetics Group and Genotyping Unit, CEGEN, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Molecular Oncology Laboratory, Hospital Clinico San Carlos, IdISSC, CIBERONC (ISCIII), Madrid, Spain
- Department of Genetics and Pathology, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland
- Genomics Center, Centre Hospitalier Universitaire de Québec, Université Laval Research Center, 2705 Laurier Boulevard, Quebec City, Quebec Canada
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, A 1090 Vienna, Austria
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Zluty kopec 7, 65653 Brno, Czech Republic
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- The Department of Oncology and Pathology, Karolinska Institute, 171 76 Stockholm, Sweden
- Department of Oncology, Lund University Hospital, Lund, Sweden
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology Peter MacCallum Cancer Centre, Locked Bag 1, A’Beckett St, East Melbourne, Victoria 8006 Australia
- Department of Epidemiology, Columbia University, New York, NY USA
- 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 Dermatology, University of Utah School of Medicine, 30 North 1900 East, SOM 4B454, Salt Lake City, UT 841232 USA
- INSERM, U900, Paris, France
- Institut Curie, Paris, France
- Mines Paris Tech, Fontainebleau, France
- PSL Research University, Paris, France
- Centre for Cancer Genetic Epidemiology, Department of Oncology, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
| | - kConFab
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
- Department of Epidemiology, Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
- Department of Medical Oncology, Family Center Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
- DASC, Oncogénétique Clinique, Institut Paoli-Calmettes, Marseille, France
- Institut Curie, Service de Génétique, Paris, France
- Département de Médecine Oncologique, Gustave Roussy Hôpital Universitaire, Villejuif, France
- Centre Hospitalier, Service Régional d’Oncologie Génétique Poitou-Charentes, Niort, France
- Unité d’Oncogénétique, CHU Arnaud de Villeneuve, Montpellier, France
- Centre Catherine de Sienne, Service d’Oncologie Médicale, Nantes, France
- Genomic Medicine, Manchester Academic Health Sciences Centre, Division of Evolution and Genomic Sciences, Manchester University, Central Manchester, University Hospitals NHS Foundation Trust, Manchester, UK
- Clinical Genetics, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital and University of Leeds, Leeds, UK
- Oncogenetics Team, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
- Department of Clinical Genetics, Royal Devon & Exeter Hospital, Exeter, UK
- Academic Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
- Institute of Genetic Medicine, Centre for Life, Newcastle Upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK
- Sheffield Clinical Genetics Service, Sheffield Children’s Hospital, Sheffield, UK
- University of Southampton Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton, UK
- The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Coordinating Center: Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Gynaecological Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Surgical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010 Australia
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA USA
- Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY USA
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario Canada
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA USA
- Department of Medicine, Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, UT USA
- Research Department, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
- Human Genetics Group and Genotyping Unit, CEGEN, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Molecular Oncology Laboratory, Hospital Clinico San Carlos, IdISSC, CIBERONC (ISCIII), Madrid, Spain
- Department of Genetics and Pathology, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland
- Genomics Center, Centre Hospitalier Universitaire de Québec, Université Laval Research Center, 2705 Laurier Boulevard, Quebec City, Quebec Canada
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, A 1090 Vienna, Austria
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Zluty kopec 7, 65653 Brno, Czech Republic
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- The Department of Oncology and Pathology, Karolinska Institute, 171 76 Stockholm, Sweden
- Department of Oncology, Lund University Hospital, Lund, Sweden
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology Peter MacCallum Cancer Centre, Locked Bag 1, A’Beckett St, East Melbourne, Victoria 8006 Australia
- Department of Epidemiology, Columbia University, New York, NY USA
- 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 Dermatology, University of Utah School of Medicine, 30 North 1900 East, SOM 4B454, Salt Lake City, UT 841232 USA
- INSERM, U900, Paris, France
- Institut Curie, Paris, France
- Mines Paris Tech, Fontainebleau, France
- PSL Research University, Paris, France
- Centre for Cancer Genetic Epidemiology, Department of Oncology, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
| | - BCFR
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
- Department of Epidemiology, Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
- Department of Medical Oncology, Family Center Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
- DASC, Oncogénétique Clinique, Institut Paoli-Calmettes, Marseille, France
- Institut Curie, Service de Génétique, Paris, France
- Département de Médecine Oncologique, Gustave Roussy Hôpital Universitaire, Villejuif, France
- Centre Hospitalier, Service Régional d’Oncologie Génétique Poitou-Charentes, Niort, France
- Unité d’Oncogénétique, CHU Arnaud de Villeneuve, Montpellier, France
- Centre Catherine de Sienne, Service d’Oncologie Médicale, Nantes, France
- Genomic Medicine, Manchester Academic Health Sciences Centre, Division of Evolution and Genomic Sciences, Manchester University, Central Manchester, University Hospitals NHS Foundation Trust, Manchester, UK
- Clinical Genetics, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital and University of Leeds, Leeds, UK
- Oncogenetics Team, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
- Department of Clinical Genetics, Royal Devon & Exeter Hospital, Exeter, UK
- Academic Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
- Institute of Genetic Medicine, Centre for Life, Newcastle Upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK
- Sheffield Clinical Genetics Service, Sheffield Children’s Hospital, Sheffield, UK
- University of Southampton Faculty of Medicine, Southampton University Hospitals NHS Trust, Southampton, UK
- The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Coordinating Center: Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Gynaecological Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Surgical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010 Australia
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA USA
- Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY USA
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario Canada
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA USA
- Department of Medicine, Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, UT USA
- Research Department, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
- Human Genetics Group and Genotyping Unit, CEGEN, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Molecular Oncology Laboratory, Hospital Clinico San Carlos, IdISSC, CIBERONC (ISCIII), Madrid, Spain
- Department of Genetics and Pathology, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland
- Genomics Center, Centre Hospitalier Universitaire de Québec, Université Laval Research Center, 2705 Laurier Boulevard, Quebec City, Quebec Canada
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, A 1090 Vienna, Austria
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Zluty kopec 7, 65653 Brno, Czech Republic
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- The Department of Oncology and Pathology, Karolinska Institute, 171 76 Stockholm, Sweden
- Department of Oncology, Lund University Hospital, Lund, Sweden
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology Peter MacCallum Cancer Centre, Locked Bag 1, A’Beckett St, East Melbourne, Victoria 8006 Australia
- Department of Epidemiology, Columbia University, New York, NY USA
- 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 Dermatology, University of Utah School of Medicine, 30 North 1900 East, SOM 4B454, Salt Lake City, UT 841232 USA
- INSERM, U900, Paris, France
- Institut Curie, Paris, France
- Mines Paris Tech, Fontainebleau, France
- PSL Research University, Paris, France
- Centre for Cancer Genetic Epidemiology, Department of Oncology, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge, CBI 8RN UK
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13
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Kehm RD, Genkinger JM, MacInnis RJ, John EM, Phillips KA, Dite GS, Milne RL, Zeinomar N, Liao Y, Knight JA, Southey MC, Chung WK, Giles GG, McLachlan SA, Whitaker KD, Friedlander M, Weideman PC, Glendon G, Nesci S, Investigators KC, Andrulis IL, Buys SS, Daly MB, Hopper JL, Terry MB. Recreational Physical Activity Is Associated with Reduced Breast Cancer Risk in Adult Women at High Risk for Breast Cancer: A Cohort Study of Women Selected for Familial and Genetic Risk. Cancer Res 2020; 80:116-125. [PMID: 31578201 PMCID: PMC7236618 DOI: 10.1158/0008-5472.can-19-1847] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 08/13/2019] [Accepted: 09/23/2019] [Indexed: 12/14/2022]
Abstract
Although physical activity is associated with lower breast cancer risk for average-risk women, it is not known if this association applies to women at high familial/genetic risk. We examined the association of recreational physical activity (self-reported by questionnaire) with breast cancer risk using the Prospective Family Study Cohort, which is enriched with women who have a breast cancer family history (N = 15,550). We examined associations of adult and adolescent recreational physical activity (quintiles of age-adjusted total metabolic equivalents per week) with breast cancer risk using multivariable Cox proportional hazards regression, adjusted for demographics, lifestyle factors, and body mass index. We tested for multiplicative interactions of physical activity with predicted absolute breast cancer familial risk based on pedigree data and with BRCA1 and BRCA2 mutation status. Baseline recreational physical activity level in the highest four quintiles compared with the lowest quintile was associated with a 20% lower breast cancer risk (HR, 0.80; 95% confidence interval, 0.68-0.93). The association was not modified by familial risk or BRCA mutation status (P interactions >0.05). No overall association was found for adolescent recreational physical activity. Recreational physical activity in adulthood may lower breast cancer risk for women across the spectrum of familial risk. SIGNIFICANCE: These findings suggest that physical activity might reduce breast cancer risk by about 20% for women across the risk continuum, including women at higher-than-average risk due to their family history or genetic susceptibility.See related commentary by Niehoff et al., p. 23.
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Affiliation(s)
- Rebecca D Kehm
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Jeanine M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
| | - Esther M John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia; Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Nur Zeinomar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Yuyan Liao
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Department of Clinical Pathology, The University of Melbourne, Melbourne, Australia
| | - Wendy K Chung
- Department of Pediatrics and Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Sue-Anne McLachlan
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Melbourne, Australia; Department of Medical Oncology, St Vincent's Hospital, Melbourne, Australia
| | - Kristen D Whitaker
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Michael Friedlander
- Prince of Wales Clinical School, University of New South Wales, Sydney, Australia; Department of Medical Oncology, Prince of Wales Hospital, Sydney, Australia
| | - Prue C Weideman
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - kConFab Investigators
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia; The Research Department, The Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada; Departments of Molecular Genetics and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Saundra S Buys
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.
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14
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Phillips KA, Liao Y, Milne RL, MacInnis RJ, Collins IM, Buchsbaum R, Weideman PC, Bickerstaffe A, Nesci S, Chung WK, Southey MC, Knight JA, Whittemore AS, Dite GS, Goldgar D, Giles GG, Glendon G, Cuzick J, Antoniou AC, Andrulis IL, John EM, Daly MB, Buys SS, Hopper JL, Terry MB. Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool. JNCI Cancer Spectr 2019; 3:pkz066. [PMID: 31853515 PMCID: PMC6901082 DOI: 10.1093/jncics/pkz066] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 07/14/2019] [Accepted: 08/20/2019] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND iPrevent is an online breast cancer (BC) risk management decision support tool. It uses an internal switching algorithm, based on a woman's risk factor data, to estimate her absolute BC risk using either the International Breast Cancer Intervention Study (IBIS) version 7.02, or Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm version 3 models, and then provides tailored risk management information. This study assessed the accuracy of the 10-year risk estimates using prospective data. METHODS iPrevent-assigned 10-year invasive BC risk was calculated for 15 732 women aged 20-70 years and without BC at recruitment to the Prospective Family Study Cohort. Calibration, the ratio of the expected (E) number of BCs to the observed (O) number and discriminatory accuracy were assessed. RESULTS During the 10 years of follow-up, 619 women (3.9%) developed BC compared with 702 expected (E/O = 1.13; 95% confidence interval [CI] =1.05 to 1.23). For women younger than 50 years, 50 years and older, and BRCA1/2-mutation carriers and noncarriers, E/O was 1.04 (95% CI = 0.93 to 1.16), 1.24 (95% CI = 1.11 to 1.39), 1.13 (95% CI = 0.96 to 1.34), and 1.13 (95% CI = 1.04 to 1.24), respectively. The C-statistic was 0.70 (95% CI = 0.68 to 0.73) overall and 0.74 (95% CI = 0.71 to 0.77), 0.63 (95% CI = 0.59 to 0.66), 0.59 (95% CI = 0.53 to 0.64), and 0.65 (95% CI = 0.63 to 0.68), respectively, for the subgroups above. Applying the newer IBIS version 8.0b in the iPrevent switching algorithm improved calibration overall (E/O = 1.06, 95% CI = 0.98 to 1.15) and in all subgroups, without changing discriminatory accuracy. CONCLUSIONS For 10-year BC risk, iPrevent had good discriminatory accuracy overall and was well calibrated for women aged younger than 50 years. Calibration may be improved in the future by incorporating IBIS version 8.0b.
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Affiliation(s)
- Kelly-Anne Phillips
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Yuyan Liao
- Department of Epidemiology, Columbia University Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Ian M Collins
- School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Richard Buchsbaum
- Department of Biostatistics, Columbia University Medical Center, New York, NY
| | - Prue C Weideman
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Adrian Bickerstaffe
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Wendy K Chung
- Mailman School of Public Health, and Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Clinical Pathology, University of Melbourne, Parkville, Victoria, Australia
- Precision Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - 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
| | - Alice S Whittemore
- Departments of Health Research and Policy and of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - David Goldgar
- Department of Dermatology and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Jack Cuzick
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - 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
| | - Esther M John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA
| | - Saundra S Buys
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Columbia University Medical Center, New York, NY
| | - for the kConFab Investigators
- Research Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
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15
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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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16
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10-year performance of four models of breast cancer risk: a validation study. Lancet Oncol 2019; 20:504-517. [DOI: 10.1016/s1470-2045(18)30902-1] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 11/20/2018] [Accepted: 11/22/2018] [Indexed: 12/27/2022]
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17
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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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18
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Terry MB, Liao Y, Kast K, Antoniou AC, McDonald JA, Mooij TM, Engel C, Nogues C, Buecher B, Mari V, Moretta-Serra J, Gladieff L, Luporsi E, Barrowdale D, Frost D, Henderson A, Brewer C, Evans DG, Eccles D, Cook J, Ong KR, Izatt L, Ahmed M, Morrison PJ, Dommering CJ, Oosterwijk JC, Ausems MGEM, Kriege M, Buys SS, Andrulis IL, John EM, Daly M, Friedlander M, McLachlan SA, Osorio A, Caldes T, Jakubowska A, Simard J, Singer CF, Tan Y, Olah E, Navratilova M, Foretova L, Gerdes AM, Roos-Blom MJ, Arver B, Olsson H, Schmutzler RK, Hopper JL, van Leeuwen FE, Goldgar D, Milne RL, Easton DF, Rookus MA, Andrieu N. The Influence of Number and Timing of Pregnancies on Breast Cancer Risk for Women With BRCA1 or BRCA2 Mutations. JNCI Cancer Spectr 2018; 2:pky078. [PMID: 30873510 PMCID: PMC6405439 DOI: 10.1093/jncics/pky078] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 10/08/2018] [Accepted: 12/08/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Full-term pregnancy (FTP) is associated with a reduced breast cancer (BC) risk over time, but women are at increased BC risk in the immediate years following an FTP. No large prospective studies, however, have examined whether the number and timing of pregnancies are associated with BC risk for BRCA1 and BRCA2 mutation carriers. METHODS Using weighted and time-varying Cox proportional hazards models, we investigated whether reproductive events are associated with BC risk for mutation carriers using a retrospective cohort (5707 BRCA1 and 3525 BRCA2 mutation carriers) and a prospective cohort (2276 BRCA1 and 1610 BRCA2 mutation carriers), separately for each cohort and the combined prospective and retrospective cohort. RESULTS For BRCA1 mutation carriers, there was no overall association with parity compared with nulliparity (combined hazard ratio [HRc] = 0.99, 95% confidence interval [CI] = 0.83 to 1.18). Relative to being uniparous, an increased number of FTPs was associated with decreased BC risk (HRc = 0.79, 95% CI = 0.69 to 0.91; HRc = 0.70, 95% CI = 0.59 to 0.82; HRc = 0.50, 95% CI = 0.40 to 0.63, for 2, 3, and ≥4 FTPs, respectively, P trend < .0001) and increasing duration of breastfeeding was associated with decreased BC risk (combined cohort P trend = .0003). Relative to being nulliparous, uniparous BRCA1 mutation carriers were at increased BC risk in the prospective analysis (prospective hazard ration [HRp] = 1.69, 95% CI = 1.09 to 2.62). For BRCA2 mutation carriers, being parous was associated with a 30% increase in BC risk (HRc = 1.33, 95% CI = 1.05 to 1.69), and there was no apparent decrease in risk associated with multiparity except for having at least 4 FTPs vs. 1 FTP (HRc = 0.72, 95% CI = 0.54 to 0.98). CONCLUSIONS These findings suggest differential associations with parity between BRCA1 and BRCA2 mutation carriers with higher risk for uniparous BRCA1 carriers and parous BRCA2 carriers.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nadine Andrieu
- Correspondence to: Nadine Andrieu, PhD, Cancer Genetic Epidemiology Team, INSERM Unit 900, Institut Curie, 26 rue d’Ulm, 75005 Paris, France (e-mail: )
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19
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Hopper JL, Dite GS, MacInnis RJ, Liao Y, Zeinomar N, Knight JA, Southey MC, Milne RL, Chung WK, Giles GG, Genkinger JM, McLachlan SA, Friedlander ML, Antoniou AC, Weideman PC, Glendon G, Nesci S, Andrulis IL, Buys SS, Daly MB, John EM, Phillips KA, Terry MB. Age-specific breast cancer risk by body mass index and familial risk: prospective family study cohort (ProF-SC). Breast Cancer Res 2018; 20:132. [PMID: 30390716 PMCID: PMC6215632 DOI: 10.1186/s13058-018-1056-1] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 10/02/2018] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND The association between body mass index (BMI) and risk of breast cancer depends on time of life, but it is unknown whether this association depends on a woman's familial risk. METHODS We conducted a prospective study of a cohort enriched for familial risk consisting of 16,035 women from 6701 families in the Breast Cancer Family Registry and the Kathleen Cunningham Foundation Consortium for Research into Familial Breast Cancer followed for up to 20 years (mean 10.5 years). There were 896 incident breast cancers (mean age at diagnosis 55.7 years). We used Cox regression to model BMI risk associations as a function of menopausal status, age, and underlying familial risk based on pedigree data using the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), all measured at baseline. RESULTS The strength and direction of the BMI risk association depended on baseline menopausal status (P < 0.001); after adjusting for menopausal status, the association did not depend on age at baseline (P = 0.6). In terms of absolute risk, the negative association with BMI for premenopausal women has a much smaller influence than the positive association with BMI for postmenopausal women. Women at higher familial risk have a much larger difference in absolute risk depending on their BMI than women at lower familial risk. CONCLUSIONS The greater a woman's familial risk, the greater the influence of BMI on her absolute postmenopausal breast cancer risk. Given that age-adjusted BMI is correlated across adulthood, maintaining a healthy weight throughout adult life is particularly important for women with a family history of breast cancer.
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Affiliation(s)
- John L. Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, 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, 722 W 168th St, 7th Floor, New York, NY USA
| | - Nur Zeinomar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY USA
| | - 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
- Department of Pathology, Genetic Epidemiology Laboratory, The University of Melbourne, Parkville, VIC Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, CA VIC 3168 USA
| | - 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
| | - Wendy K. Chung
- Herbert Irving Comprehensive Cancer Center, Columbia University 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, VIC Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC Australia
| | - Jeanine M. Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY USA
| | - 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
| | - Antonis C. Antoniou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - 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
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - kConFab Investigators
- 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 USA
| | - Mary B. Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA USA
| | - Esther M. John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA USA
| | - Kelly Anne Phillips
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, 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
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY USA
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20
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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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21
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Schrijver LH, Olsson H, Phillips KA, Terry MB, Goldgar DE, Kast K, Engel C, Mooij TM, Adlard J, Barrowdale D, Davidson R, Eeles R, Ellis S, Evans DG, Frost D, Izatt L, Porteous ME, Side LE, Walker L, Berthet P, Bonadona V, Leroux D, Mouret-Fourme E, Venat-Bouvet L, Buys SS, Southey MC, John EM, Chung WK, Daly MB, Bane A, van Asperen CJ, Gómez Garcia EB, Mourits MJE, van Os TAM, Roos-Blom MJ, Friedlander ML, McLachlan SA, Singer CF, Tan YY, Foretova L, Navratilova M, Gerdes AM, Caldes T, Simard J, Olah E, Jakubowska A, Arver B, Osorio A, Noguès C, Andrieu N, Easton DF, van Leeuwen FE, Hopper JL, Milne RL, Antoniou AC, Rookus MA. Oral Contraceptive Use and Breast Cancer Risk: Retrospective and Prospective Analyses From a BRCA1 and BRCA2 Mutation Carrier Cohort Study. JNCI Cancer Spectr 2018; 2:pky023. [PMID: 31360853 PMCID: PMC6649757 DOI: 10.1093/jncics/pky023] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 03/16/2018] [Accepted: 04/24/2018] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND For BRCA1 and BRCA2 mutation carriers, the association between oral contraceptive preparation (OCP) use and breast cancer (BC) risk is still unclear. METHODS Breast camcer risk associations were estimated from OCP data on 6030 BRCA1 and 3809 BRCA2 mutation carriers using age-dependent Cox regression, stratified by study and birth cohort. Prospective, left-truncated retrospective and full-cohort retrospective analyses were performed. RESULTS For BRCA1 mutation carriers, OCP use was not associated with BC risk in prospective analyses (hazard ratio [HR] = 1.08, 95% confidence interval [CI] = 0.75 to 1.56), but in the left-truncated and full-cohort retrospective analyses, risks were increased by 26% (95% CI = 6% to 51%) and 39% (95% CI = 23% to 58%), respectively. For BRCA2 mutation carriers, OCP use was associated with BC risk in prospective analyses (HR = 1.75, 95% CI = 1.03 to 2.97), but retrospective analyses were inconsistent (left-truncated: HR = 1.06, 95% CI = 0.85 to 1.33; full cohort: HR = 1.52, 95% CI = 1.28 to 1.81). There was evidence of increasing risk with duration of use, especially before the first full-term pregnancy (BRCA1: both retrospective analyses, P < .001 and P = .001, respectively; BRCA2: full retrospective analysis, P = .002). CONCLUSIONS Prospective analyses did not show that past use of OCP is associated with an increased BC risk for BRCA1 mutation carriers in young middle-aged women (40-50 years). For BRCA2 mutation carriers, a causal association is also not likely at those ages. Findings between retrospective and prospective analyses were inconsistent and could be due to survival bias or a true association for younger women who were underrepresented in the prospective cohort. Given the uncertain safety of long-term OCP use for BRCA1/2 mutation carriers, indications other than contraception should be avoided and nonhormonal contraceptive methods should be discussed.
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Affiliation(s)
- Lieske H Schrijver
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Håkan Olsson
- Department of Oncology, Lund University Hospital
| | - Kelly-Anne Phillips
- Lund University, Lund, Sweden; Sir Peter MacCallum Department of Oncology
- Division of Cancer Medicine
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | | | - David E Goldgar
- Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT
| | - Karin Kast
- Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany
| | - Christoph Engel
- Oncology and Pathology, Department of Clinical Sciences Lund
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany
| | - Thea M Mooij
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Julian Adlard
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds, UK
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK
| | - Rosemarie Davidson
- Department of Clinical Genetics, South Glasgow University Hospitals, Glasgow, UK
| | - Ros Eeles
- Oncogenetics Team, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton, UK
| | - Steve Ellis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK
| | - D Gareth Evans
- Genomic Medicine, Manchester Academic Health Sciences Centre, Institute of Human Development, Manchester University, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Debra Frost
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK
| | - Louise Izatt
- Clinical Genetics, Guy’s and St. Thomas’ NHS Foundation Trust, London, UK
| | - Mary E Porteous
- South East of Scotland Regional Genetics Service, Western General Hospital, Edinburgh, UK
| | - Lucy E Side
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Trust, London, UK
| | - Lisa Walker
- Oxford Regional Genetics Service, Churchill Hospital, Oxford, UK
| | | | | | - Dominique Leroux
- CHU de Grenoble, Hôpital Couple-Enfant, Département de Génétique, Grenoble, France
| | | | | | - Saundra S Buys
- Department of Medicine, Huntsman Cancer Institute, Salt Lake City, UT
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology
- Precision Medicine, School of Clinical Science at Monash Health, Monash University, Victoria, Australia
| | - Esther M John
- Department of Epidemiology, Cancer Prevention Institute of California, Fremont, CA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Wendy K Chung
- Department of Pediatrics and Medicine, Columbia University, New York, NY
| | - Mary B Daly
- Division of Population Science, Fox Chase Cancer Center, Philadelphia, PA
| | - Anita Bane
- Department of Pathology and Molecular Medicine, Juravinski Hospital and Cancer Centre, McMaster University, Hamilton, Ontario, Canada
- Department of Oncology-Pathology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Christi J van Asperen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Encarna B Gómez Garcia
- Department of Clinical Genetics and GROW, School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Marian J E Mourits
- Department of Gynaecologic Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Theo A M van Os
- Department of Clinical Genetics, Academic Medical Center, Amsterdam, the Netherlands
| | - Marie-José Roos-Blom
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Michael L Friedlander
- Prince of Wales Clinical School, University of New South Wales, Sydney, Australia
- Department of Medical Oncology, Prince of Wales Hospital, Randwick, Australia
| | - Sue-Anne McLachlan
- Department of Medicine, St. Vincent’s Hospital, University of Melbourne, Parkville, Victoria, Australia
- Division of Cancer Medicine
- Department of Medical Oncology, St Vincent's Hospital, Fitzroy, Australia
| | - Christian F Singer
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Yen Y Tan
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic, Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology
| | - Marie Navratilova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic, Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology
- Medical Faculty, University of Cologne and University Hospital Cologne, Germany
| | | | - Trinidad Caldes
- Molecular Oncology Laboratory, Hospital Clinico San Carlos, IdISSC, CIBERONC, Martin Lagos s/n, Madrid, Spain
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center and Laval University, Quebec City, Quebec, Canada
| | - Edith Olah
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Brita Arver
- Department of Oncology-Pathology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Ana Osorio
- Human Genetics Group, Spanish National Cancer Centre, Madrid, Spain
| | - Catherine Noguès
- Oncogénétique Clinique, Institut Paoli-Calmettes and Aix Marseille Univ, INSERM, IRD, SESSTIM, Marseille, France
| | - Nadine Andrieu
- INSERM U900, Paris, France
- Institut Curie, Paris, France
- Ecole des Mines de Paris, ParisTech, Fontainebleau, France
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK
| | - Flora E van Leeuwen
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Victoria, Australia
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK
| | - Matti A Rookus
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - EMBRACE, GENEPSO, BCFR, HEBON, kConFab, and IBCCS
- Lund University, Lund, Sweden; Sir Peter MacCallum Department of Oncology
- Research Department, Peter MacCallum Cancer Centre, Victoria, Australia
- Department of Epidemiology
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK
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22
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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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23
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Dite GS, MacInnis RJ, Bickerstaffe A, Dowty JG, Milne RL, Antoniou AC, Weideman P, Apicella C, Giles GG, Southey MC, Jenkins MA, Phillips KA, Win AK, Terry MB, Hopper JL. Testing for Gene-Environment Interactions Using a Prospective Family Cohort Design: Body Mass Index in Early and Later Adulthood and Risk of Breast Cancer. Am J Epidemiol 2017; 185:487-500. [PMID: 28399571 PMCID: PMC6158796 DOI: 10.1093/aje/kww241] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 08/01/2016] [Accepted: 08/04/2016] [Indexed: 12/11/2022] Open
Abstract
The ability to classify people according to their underlying genetic susceptibility to a disease is increasing with new knowledge, better family data, and more sophisticated risk prediction models, allowing for more effective prevention and screening. To do so, however, we need to know whether risk associations are the same for people with different genetic susceptibilities. To illustrate one way to estimate such gene-environment interactions, we used prospective data from 3 Australian family cancer cohort studies, 2 enriched for familial risk of breast cancer. There were 288 incident breast cancers in 9,126 participants from 3,222 families. We used Cox proportional hazards models to investigate whether associations of breast cancer with body mass index (BMI; weight (kg)/height (m)2) at age 18-21 years, BMI at baseline, and change in BMI differed according to genetic risk based on lifetime breast cancer risk from birth, as estimated by BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) software, adjusted for age at baseline data collection. Although no interactions were statistically significant, we have demonstrated the power with which gene-environment interactions can be investigated using a cohort enriched for persons with increased genetic risk and a continuous measure of genetic risk based on family history.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - John L. Hopper
- Correspondence to Prof. John L. Hopper, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Level 3, 207 Bouverie Street, Parkville, VIC 3010, Australia (e-mail: )
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Improved quality of risk-reducing salpingo-oophorectomy in Australasian women at high risk of pelvic serous cancer. Fam Cancer 2017; 16:461-469. [PMID: 28285341 PMCID: PMC5603648 DOI: 10.1007/s10689-017-9977-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Objectives The quality of risk-reducing salpingo-oophorectomy (RRSO) performed in Australasian women was previously reported to be suboptimal. Here we describe the quality of RRSO performed since 2008 in women enrolled in the same cohort and determine whether it has improved. Design Prospective cohort study of women at high risk of pelvic serous cancer (PSC) in kConFab. Eligible women had RRSO between 2008 and 2014 and their RRSO surgical and pathology reports were reviewed. “Adequate” surgery and pathology were defined as complete removal and paraffin embedding of all ovarian and extra-uterine fallopian tube tissue, respectively. Associations between clinical factors and “adequate” pathology were assessed using logistic regression. Data were compared with published cohort data on RRSO performed prior to 2008 using Chi square test. Results Of 164 contemporary RRSOs performed in 78 centres, 158/159 (99%) had “adequate” surgery and 108/164 (66%) had “adequate” pathology. Surgery performed by a gynaecologic oncologist rather than a general gynaecologist [OR 8.2, 95%CI (3.6–20.4), p < 0.001], surgery without concurrent hysterectomy [OR 2.5, 95%CI (1.1–6.0), p = 0.03], more recent year of surgery [OR 1.4, 95%CI (1.1–1.8), p = 0.02], and clinical notation that indicated high risk [OR 19.4, 95%CI (3.1–385), p = 0.008] were independently associated with “adequate” pathology. Both surgery and pathology were significantly more likely to be “adequate” (p < 0.001) in this contemporary sample. Conclusion The quality of RRSOs has significantly improved since our last report. Surgery by a gynaecologic oncologist who informs the pathologist that the woman is at high risk for PSC is associated with optimal RRSO pathology.
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Phillips KA, Collins IM, Milne RL, McLachlan SA, Friedlander M, Hickey M, Stern C, Hopper JL, Fisher R, Kannemeyer G, Picken S, Smith CD, Kelsey TW, Anderson RA. Anti-Müllerian hormone serum concentrations of women with germline BRCA1 or BRCA2 mutations. Hum Reprod 2017; 31:1126-32. [PMID: 27094481 PMCID: PMC4840025 DOI: 10.1093/humrep/dew044] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 02/18/2016] [Indexed: 01/08/2023] Open
Abstract
STUDY QUESTION Do women with BRCA1 or BRCA2 mutations have reduced ovarian reserve, as measured by circulating anti-Müllerian hormone (AMH) concentration? SUMMARY ANSWER Women with a germline mutation in BRCA1 have reduced ovarian reserve as measured by AMH. WHAT IS KNOWN ALREADY The DNA repair enzymes encoded by BRCA1 and BRCA2 are implicated in reproductive aging. Circulating AMH is a biomarker of ovarian reserve and hence reproductive lifespan. STUDY DESIGN, SIZE, DURATION This was a cross-sectional study of AMH concentrations of 693 women at the time of enrolment into the Kathleen Cuningham Foundation Consortium for research in the Familial Breast Cancer (kConFab) cohort study (recruitment from 19 August 1997 until 18 September 2012). AMH was measured on stored plasma samples between November 2014 and January 2015 using an electrochemiluminescence immunoassay platform. PARTICIPANTS/MATERIALS, SETTING, METHODS Eligible women were from families segregating BRCA1 or BRCA2 mutations and had known mutation status. Participants were aged 25–45 years, had no personal history of cancer, retained both ovaries and were not pregnant or breastfeeding at the time of plasma storage. Circulating AMH was measured for 172 carriers and 216 non-carriers from families carrying BRCA1 mutations, and 147 carriers and 158 non-carriers from families carrying BRCA2 mutations. Associations between plasma AMH concentration and carrier status were tested by linear regression, adjusted for age at plasma storage, oral contraceptive use, body mass index and cigarette smoking. MAIN RESULTS AND THE ROLE OF CHANCE Mean AMH concentration was negatively associated with age (P < 0.001). Mutation carriers were younger at blood draw than non-carriers (P ≤ 0.031). BRCA1 mutation carriers had, on average, 25% (95% CI: 5%–41%, P = 0.02) lower AMH concentrations than non-carriers and were more likely to have AMH concentrations in the lowest quartile for age (OR 1.84, 95% CI: 1.11–303, P = 0.02). There was no evidence of an association between AMH concentration and BRCA2 mutation status (P = 0.94). LIMITATIONS, REASONS FOR CAUTION AMH does not directly measure the primordial follicle pool. The clinical implications of the lower AMH concentrations seen in BRCA1 mutation carriers cannot be assessed by this study design. WIDER IMPLICATIONS OF THE FINDINGS Women with a germline mutation in BRCA1 may have reduced ovarian reserve. This is consistent with other smaller studies in the literature and has potential implications for fertility and reproductive lifespan. STUDY FUNDING/COMPETING INTEREST(S) kConFab is supported by a grant from the Australian National Breast Cancer Foundation, and previously by the National Health and Medical Research Council (NHMRC), the Queensland Cancer Fund, the Cancer Councils of New South Wales, Victoria, Tasmania and South Australia, and the Cancer Foundation of Western Australia. K.A.P. is an Australian National Breast Cancer Foundation Practitioner Fellow. J.L.H. is a NHMRC Senior Principal Research Fellow. M.H. is a NHMRC Practitioner Fellow. R.A.A. reports personal fees from Roche Diagnostics & Beckman Coulter outside the submitted work and C.S. reports other earnings from Melbourne IVF outside the submitted work. The remaining authors have nothing to declare and no conflicts of interest.
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Affiliation(s)
- Kelly-Anne Phillips
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, East Melbourne 3002, Australia Sir Peter MacCallum Dep. of Oncology, The University of Melbourne, Parkville 3053, Australia Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Parkville 3053, Australia Department of Medicine, St Vincent's Hospital, The University of Melbourne, Parkville 3053, Australia
| | - Ian M Collins
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, East Melbourne 3002, Australia School of Medicine, Faculty of Health, Deakin University, Geelong 3220, Australia
| | - Roger L Milne
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Parkville 3053, Australia Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne 3004, Australia
| | - Sue Anne McLachlan
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, East Melbourne 3002, Australia Department of Medicine, St Vincent's Hospital, The University of Melbourne, Parkville 3053, Australia Department of Medical Oncology, St Vincent's Hospital, Fitzroy 3065, Australia
| | - Michael Friedlander
- Prince of Wales Clinical School, University of New South Wales, Sydney 2052, Australia Department of Medical Oncology, Prince of Wales Hospital, Randwick 2031, Australia
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, the Royal Women's Hospital, Parkville 3053, Australia
| | - Catharyn Stern
- Department of Obstetrics and Gynaecology, the Royal Women's Hospital, Parkville 3053, Australia Melbourne IVF, East Melbourne 3002, Australia
| | - John L Hopper
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Parkville 3053, Australia
| | - Richard Fisher
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, East Melbourne 3002, Australia
| | | | - Sandra Picken
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, East Melbourne 3002, Australia
| | - Charmaine D Smith
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, East Melbourne 3002, Australia
| | - Thomas W Kelsey
- School of Computer Science, University of St Andrews, Fife KY16 9AJ, UK
| | - Richard A Anderson
- Medical Research Council Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH8 9YL, UK
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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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Milne RL, Antoniou AC. Modifiers of breast and ovarian cancer risks for BRCA1 and BRCA2 mutation carriers. Endocr Relat Cancer 2016; 23:T69-84. [PMID: 27528622 DOI: 10.1530/erc-16-0277] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Accepted: 08/15/2016] [Indexed: 12/20/2022]
Abstract
Pathogenic mutations in BRCA1 and BRCA2 are associated with high risks of breast and ovarian cancer. However, penetrance estimates for mutation carriers have been found to vary substantially between studies, and the observed differences in risk are consistent with the hypothesis that genetic and environmental factors modify cancer risks for women with these mutations. Direct evidence that this is the case has emerged in the past decade, through large-scale international collaborative efforts. Here, we describe the methodological challenges in the identification and characterisation of these risk-modifying factors, review the latest evidence on genetic and lifestyle/hormonal risk factors that modify breast and ovarian cancer risks for women with BRCA1 and BRCA2 mutations and outline the implications of these findings for cancer risk prediction. We also review the unresolved issues in this area of research and identify strategies of clinical implementation so that women with BRCA1 and BRCA2 mutations are no longer counselled on the basis of 'average' risk estimates.
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Affiliation(s)
- Roger L Milne
- Cancer Epidemiology CentreCancer Council Victoria, Melbourne, Australia Centre for Epidemiology and BiostatisticsMelbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Antonis C Antoniou
- Centre for Cancer Genetic EpidemiologyDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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28
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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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Long-term outcomes of risk-reducing surgery in unaffected women at increased familial risk of breast and/or ovarian cancer. Fam Cancer 2015; 14:105-15. [PMID: 25283514 DOI: 10.1007/s10689-014-9759-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
This study prospectively investigated long-term psychosocial outcomes for women who opted for risk-reducing mastectomy (RRM) and/or risk-reducing salpingo-oophorectomy (RRSO). Unaffected women from high-risk breast cancer families who had completed baseline questionnaires for an existing study and subsequently underwent RRM and/or RRSO, completed measures of perceived breast and ovarian cancer risk, anxiety, depression, cancer-related anxiety, body image, sexual functioning, menopausal symptoms, use of hormone replacement therapy and decision regret 3 years post-surgery. Outcomes were compared to age- and risk-matched controls. Participants (N = 233) were 17 women who had RRM (39 controls), 38 women who had RRSO (94 controls) and 15 women who had RRM + RRSO (30 controls). Women who underwent RRM and those who underwent RRM + RRSO reported reductions in perceived breast cancer risk and perceived breast and ovarian cancer risk respectively, compared to their respective controls. RRM women reported greater reductions in cancer-related anxiety compared with both controls and RRSO women. RRSO women reported more sexual discomfort than controls and more urogenital menopausal symptoms than controls and RRM only women. No differences in general anxiety, depression or body image were observed. Regret was associated with greater reductions in body image since surgery and more sexual discomfort, although overall regret levels were low. Women who undergo RRM experience psychological benefits associated with reduced breast cancer risk. Although women who undergo RRSO experience some deterioration in sexual and menopausal symptoms, they do not regret their surgery decision. It is vital that women considering these procedures receive detailed information about potential psychosocial consequences.
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30
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Heiniger L, Butow PN, Charles M, Price MA. Intuition versus cognition: a qualitative exploration of how women understand and manage their increased breast cancer risk. J Behav Med 2015; 38:727-39. [PMID: 25820809 DOI: 10.1007/s10865-015-9632-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Accepted: 03/18/2015] [Indexed: 01/05/2023]
Abstract
Risk comprehension in individuals at increased familial risk of cancer is suboptimal and little is known about how risk is understood and managed by at-risk individuals who do not undergo genetic testing. We qualitatively studied these issues in 36 unaffected women from high-risk breast cancer families, including both women who had and had not undergone genetic testing. Data were collected through semi-structured interviews and data analysis was guided by Grounded Theory. Risk comprehension and risk management were largely influenced by the individual's experience of coming from a high-risk family, with both tested and untested women relying heavily on their intuition. Although women's cognitive understanding of their risk appeared generally accurate, this objective risk information was considered of secondary value. The findings could be used to guide the development and delivery of information about risk and risk management to genetically tested and untested individuals at increased risk of hereditary cancer.
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Affiliation(s)
- Louise Heiniger
- Centre for Medical Psychology and Evidence-Based Decision-Making, School of Psychology, The University of Sydney, Sydney, NSW, Australia. .,Psycho-Oncology Cooperative Research Group (PoCoG), The University of Sydney, Level 6 North, Chris O'Brien Lifehouse (C39Z), Sydney, NSW, 2006, Australia.
| | - Phyllis N Butow
- Centre for Medical Psychology and Evidence-Based Decision-Making, School of Psychology, The University of Sydney, Sydney, NSW, Australia.,Psycho-Oncology Cooperative Research Group (PoCoG), The University of Sydney, Level 6 North, Chris O'Brien Lifehouse (C39Z), Sydney, NSW, 2006, Australia
| | - Margaret Charles
- Centre for Medical Psychology and Evidence-Based Decision-Making, School of Psychology, The University of Sydney, Sydney, NSW, Australia
| | | | - Melanie A Price
- Centre for Medical Psychology and Evidence-Based Decision-Making, School of Psychology, The University of Sydney, Sydney, NSW, Australia.,Psycho-Oncology Cooperative Research Group (PoCoG), The University of Sydney, Level 6 North, Chris O'Brien Lifehouse (C39Z), Sydney, NSW, 2006, Australia
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Heiniger L, Price MA, Charles M, Butow PN. Facilitators and Challenges in Psychosocial Adaptation to Being at Increased Familial Risk of Breast Cancer. J Genet Couns 2015; 24:890-907. [PMID: 25735441 DOI: 10.1007/s10897-015-9824-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Accepted: 01/21/2015] [Indexed: 11/30/2022]
Abstract
Little is known about the process of psychosocial adaptation to familial risk in tested and untested individuals at increased familial risk of cancer. This paper presents findings from a qualitative study of 36 women participating in the Kathleen Cuningham Consortium for Research into Familial Breast cancer (kConFab) Psychosocial study. Facilitators and challenges in psychosocial adaptation were identified through semi-structured interviews. The women, who were either tested (carriers or non-carriers of breast cancer susceptibility mutations) or untested (ineligible for testing or eligible but delayed or declined testing), described personal, support network and healthcare characteristics that impacted on the adaptation process. Challenges in one domain could be overcome by facilitators in other domains and key differences relating to whether women had undergone testing, or not, were identified. Tested and untested women with an increased familial risk of breast cancer may benefit from support tailored to their mutation testing status in order to enhance adaptation.
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Affiliation(s)
- Louise Heiniger
- Psycho-Oncology Cooperative Research Group (PoCoG), University of Sydney, Level 6 North, Chris O'Brien Lifehouse (C39Z), NSW, 2006, Sydney, Australia. .,School of Psychology, University of Sydney, NSW, 2006, Sydney, Australia.
| | - Melanie A Price
- Psycho-Oncology Cooperative Research Group (PoCoG), University of Sydney, Level 6 North, Chris O'Brien Lifehouse (C39Z), NSW, 2006, Sydney, Australia.,School of Psychology, University of Sydney, NSW, 2006, Sydney, Australia
| | - Margaret Charles
- School of Psychology, University of Sydney, NSW, 2006, Sydney, Australia
| | - Phyllis N Butow
- Psycho-Oncology Cooperative Research Group (PoCoG), University of Sydney, Level 6 North, Chris O'Brien Lifehouse (C39Z), NSW, 2006, Sydney, Australia.,School of Psychology, University of Sydney, NSW, 2006, Sydney, Australia
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Meiser B, Price MA, Butow PN, Rahman B, Tucker K, Cheah B, Bickerstaffe A, Hopper J, Phillips KA. Misperceptions of ovarian cancer risk in women at increased risk for hereditary ovarian cancer. Fam Cancer 2015; 13:153-62. [PMID: 24081834 DOI: 10.1007/s10689-013-9687-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
This study assessed the sociodemographic, medical and psychological predictors of accuracy of perceived risk in women at increased genetic risk for ovarian cancer. Women participating in a large cohort study who were at increased risk of ovarian and fallopian tube cancer, had no personal history of cancer and had ≥1 ovary in situ at cohort enrollment, were eligible. Women completed self-administered questionnaires and attended an interview at enrollment. Of 2,868 women unaffected with cancer at cohort enrollment, 561 were eligible. 335 women (59.8 %) overestimated their ovarian cancer risk, while 215 women (38.4 %) accurately estimated their risk, and 10 (1.8 %) underestimated it. Women who did not know their mutation status were more likely to overestimate their risk (OR 1.74, 95 % CI 1.10, 2.77, p = 0.018), as were those with higher cancer-specific anxiety (OR 1.05, 95 % CI 1.02, 1.08, p < 0.001) and/or a mother who had been diagnosed with ovarian cancer (OR 1.98, 95 % CI 1.23, 3.18, p = 0.005). Amongst the group of women who did not know their mutation status, 63.3 % overestimated their risk and the mean perceived lifetime risk of developing ovarian cancer was 42.1 %, compared to a mean objective risk of 6.4 %. A large number of women at increased risk for ovarian cancer overestimate their risk. This is of concern especially in women who are at moderately increased risk only; for this sub-group of women, interventions are needed to reduce potentially unnecessary psychological distress and minimise engagement in unnecessary surgery or screening.
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Affiliation(s)
- Bettina Meiser
- Department of Medical Oncology, Prince of Wales Hospital, Randwick, Australia,
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Marcus MW, Raji OY, Chen Y, Duffy SW, Field JK. Factors associated with dropout in a lung cancer high‑risk cohort--the Liverpool lung project. Int J Oncol 2014; 44:2146-52. [PMID: 24714788 DOI: 10.3892/ijo.2014.2371] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Accepted: 03/04/2014] [Indexed: 11/05/2022] Open
Abstract
In long-term longitudinal cohort studies the dropout of participants occurring as a result of withdrawal or lost to follow-up may have greater impact on the effect estimates, if characteristics of participants who drop out and those still active in the study differ significantly. The study aimed to investigate factors associated with dropout in a 5-year follow-up of individuals at 'high‑risk' of lung cancer. We studied 'high‑risk' group of 1,486 individuals aged 45-79 selected from the Liverpool Lung Prospective (LLP) cohort study using a strategy reflecting only age, smoking duration and history of pulmonary disease. Study subjects were recalled annually from 2005-2009 for follow-up collection of specimens and questionnaire data. The dropout rate over the follow-up time was investigated using the Kaplan‑Meier survival curve and the Cox proportional hazard model. Dropout rate was 31% after an average of 3 annual visits. Female gender hazard ratio (HR) 1.35 (95% CI 1.09-1.66), current smoking 1.26 (1.02-1.57), prior diagnosis of malignant disease 0.54 (0.36-0.79), home visits 0.67 (0.48-0.94) and systolic blood pressure 1.46 (1.10-1.94) were significantly associated with the dropout rate. Nearly 40% of individuals selected into the 'high‑risk' group by the old criteria were low risk with predicted 5-year absolute risk of less than 2.5%. In conclusion, follow-up of individuals is feasible within the LLP, but may be prone to selective withdrawal attributable to patient's state of health and mobility. We recommend future design of 'high‑risk' follow‑up studies to consider home visit as a useful strategy to encourage continued participation.
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Affiliation(s)
- Michael W Marcus
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Institute of Translational Medicine, The University of Liverpool, Liverpool L3 9TA, UK
| | - Olaide Y Raji
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Institute of Translational Medicine, The University of Liverpool, Liverpool L3 9TA, UK
| | - Ying Chen
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Institute of Translational Medicine, The University of Liverpool, Liverpool L3 9TA, UK
| | - Stephen W Duffy
- Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - John K Field
- Roy Castle Lung Cancer Research Programme, The University of Liverpool Cancer Research Centre, Institute of Translational Medicine, The University of Liverpool, Liverpool L3 9TA, UK
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Collins IM, Milne RL, Weideman PC, McLachlan S, Friedlander ML, Hopper JL, Phillips K. Preventing breast and ovarian cancers in high‐risk BRCA1 and BRCA2 mutation carriers. Med J Aust 2013; 199:680-3. [DOI: 10.5694/mja13.10848] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2013] [Accepted: 10/09/2013] [Indexed: 11/17/2022]
Affiliation(s)
| | | | | | | | | | | | - Kelly‐Anne Phillips
- Peter MacCallum Cancer Centre, Melbourne, VIC
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC
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Collins IM, Milne RL, McLachlan SA, Friedlander M, Hickey M, Weideman PC, Birch KE, Hopper JL, Phillips KA. Do BRCA1 and BRCA2 mutation carriers have earlier natural menopause than their noncarrier relatives? Results from the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer. J Clin Oncol 2013; 31:3920-5. [PMID: 24081944 DOI: 10.1200/jco.2013.49.3007] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
PURPOSE Limited data suggest that germline BRCA1 mutations are associated with occult primary ovarian insufficiency and that BRCA1 and BRCA2 mutation carriers might have earlier natural menopause (NM) than their noncarrier relatives. PATIENTS AND METHODS Eligible women were mutation carriers and noncarriers from families segregating a BRCA1 or BRCA2 mutation. Data were self-reported using uniform questionnaires at cohort entry and every 3 years thereafter. NM was defined as the cessation of menses for 12 months without another cause. Cox proportional hazards analysis modeled time from birth to NM, adjusting for multiple potential confounders. Analysis time was censored at the earliest of the following: last follow-up, bilateral oophorectomy, hysterectomy, commencement of hormone therapy, insertion of intrauterine device, or any cancer diagnosis. Hazard ratios (HRs) were estimated as a measure of how likely mutation carriers are, relative to noncarriers, to reach NM at a given age. RESULTS A total of 1,840 women were eligible for analysis. Overall only 19% reached NM. A lower proportion of BRCA1 and BRCA2 mutation carriers reached NM compared with noncarriers. Conversely, a higher proportion of mutation carriers were censored at cancer diagnosis or oophorectomy than noncarriers. The adjusted HR estimates for NM were 1.03 (95% CI, 0.75 to 1.40; P = .9) for 445 BRCA1 mutation carriers and 559 noncarrier relatives and 1.01 (95% CI, 0.71 to 1.42; P = .9) for 374 BRCA2 mutation carriers and 462 noncarrier relatives. CONCLUSION We found no evidence that BRCA1 and BRCA2 mutation carriers are at higher risk of NM at a given age than their noncarrier relatives.
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Affiliation(s)
- Ian M Collins
- Ian M. Collins, Sue Anne McLachlan, Prue Weideman, Kate E. Birch, and Kelly-Anne Phillips, Peter MacCallum Cancer Centre; Ian M. Collins, Roger L. Milne, Sue Anne McLachlan, Martha Hickey, John L. Hopper, and Kelly-Anne Phillips, University of Melbourne; Sue Anne McLachlan, St Vincent's Hospital; Martha Hickey, Royal Women's Hospital, Parkville, Melbourne; Michael Friedlander, Prince of Wales Hospital, Sydney, Australia; and John L. Hopper, Seoul National University, Seoul, Republic of Korea
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Psychosocial factors and uptake of risk-reducing salpingo-oophorectomy in women at high risk for ovarian cancer. Fam Cancer 2012. [DOI: 10.1007/s10689-012-9585-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Hallowell N, Baylock B, Heiniger L, Butow PN, Patel D, Meiser B, Saunders C, Price MA. Looking different, feeling different: women's reactions to risk-reducing breast and ovarian surgery. Fam Cancer 2012; 11:215-24. [PMID: 22198037 DOI: 10.1007/s10689-011-9504-4] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Most studies of quality of life following risk-reducing bilateral salpingo-oophorectomy (RRSO) and mastectomy (RRM) for inherited breast and ovarian cancer susceptibility were conducted before counseling protocols were established and included women at varying times since surgery. This study aimed to overcome these deficiencies and to provide current data on outcomes for this growing group of women. Semi-structured interviews were used to explore the experiences of an Australian cohort of 40 high-risk women 3 years after they underwent RRM and/or RRSO. Data were analyzed using the method of constant comparison. 19/40 women underwent RRSO, 8/40 RRM and 13/40 both procedures. Two themes-looking different and feeling different-captured the psychosocial impact of surgery upon interviewees. All regarded RR surgery as a positive experience and were relieved at having their risks of cancer substantially reduced; however, reducing risk by removing these body parts is not without costs. In addition to relief interviewees also reported experiencing a range of negative emotions and a range of unexpected bodily sensations following surgery and reflected upon both positive and negative changes in their appearance. Women said they had been unprepared for the lack of sensation in reconstructed breasts and/or the severity of menopausal symptoms, which often had a negative impact upon sexuality. At-risk women regard RR surgery as a positive way to manage cancer risk. However, although women who currently undergo RR surgery are informed about its sequelae, few are entirely prepared for the reality of undergoing this procedure. We recommend that women who undergo these procedures should be provided with information supported by psychosocial input before and after RR surgery.
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Affiliation(s)
- Nina Hallowell
- Institute of Health and Society, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle Upon Tyne, NE2 4AX, UK.
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Kiely BE, Friedlander ML, Milne RL, Stanhope L, Russell P, Jenkins MA, Weideman P, McLachlan SA, Grant P, Hopper JL, Phillips KA. Adequacy of risk-reducing gynaecologic surgery in BRCA1 or BRCA2 mutation carriers and other women at high risk of pelvic serous cancer. Fam Cancer 2012; 10:505-14. [PMID: 21424757 PMCID: PMC3175342 DOI: 10.1007/s10689-011-9435-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The aim of this study was to describe the type of risk-reducing gynaecologic surgery (RRGS) and the extent of pathological evaluation being undertaken for Australasian women at high familial risk of pelvic serous cancer. Surgical and pathology reports were reviewed for women with BRCA1/BRCA2 mutations, or a family history of breast and ovarian cancer, who underwent RRGS between 1998 and 2008. "Adequate" surgery was defined as complete removal of all ovarian and extra-uterine fallopian tube tissue. "Adequate" pathology was defined as paraffin embedding of all removed ovarian and tubal tissue. Predictors of adequacy were assessed using logistic regression. There were 201 women, including 173 mutation carriers, who underwent RRGS. Of these, 91% had adequate surgery and 23% had adequate pathology. Independent predictors of adequate surgery were surgeon type (OR = 20; 95% CI 2-167; P = 0.005 for gynaecologic oncologists versus general gynaecologists), more recent surgery (OR = 1.33/year; 95% CI 1.07-1.67; P = 0.012) and younger patient age (OR = 0.93/year of age; 95% CI 0.87-0.99; P = 0.028). Independent predictors of adequate pathology were more recent surgery (OR = 1.26/year; 95% CI 1.06-1.49; P = 0.008) and surgeon type (OR = 3.1; 95% CI 1.4-6.7; P = 0.004 for gynaecologic oncologists versus general gynaecologists). Four serous ovarian cancers and one endometrioid endometrial cancer were detected during surgery or pathological examination. In conclusion Australasian women attending a specialist gynaecologic oncologist for RRGS are most likely to have adequate surgery and pathological examination. Additional education of clinicians and consumers is needed to ensure optimal surgery and pathology in these women.
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Affiliation(s)
- B E Kiely
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St, Melbourne, VIC, 8006, Australia
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Harvey SL, Milne RL, McLachlan SA, Friedlander ML, Birch KE, Weideman P, Goldgar D, Hopper JL, Phillips KA. Prospective study of breast cancer risk for mutation negative women from BRCA1 or BRCA2 mutation positive families. Breast Cancer Res Treat 2011; 130:1057-61. [PMID: 21850394 DOI: 10.1007/s10549-011-1733-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2011] [Accepted: 08/06/2011] [Indexed: 11/29/2022]
Abstract
Published studies have reached contradictory conclusions regarding breast cancer risk for women from families segregating a BRCA1 or BRCA2 mutation who do not carry the family-specific mutation. Accurate estimation of breast cancer risk is crucial for appropriate counselling regarding risk management. The aim of this study is to prospectively assess whether breast cancer risk for mutation negative women from families segregating BRCA1 or BRCA2 mutations is greater than for women in the general population. Eligible women were 722 first-, second- and third-degree relatives of a BRCA1 or BRCA2 mutation carrier from 224 mutation positive (128 BRCA1, 96 BRCA2) families, had no personal cancer history at baseline, and had been tested and found not to carry the family-specific mutation. Self-reported family history of cancer, preventive interventions and verified cancer diagnoses were collected at baseline, and every 3 years thereafter. Median follow-up was 6.1 years (range 0.1-12.4 years). Time at risk of breast cancer was censored at cancer diagnosis or risk-reducing surgery. Standardised incidence ratios (SIR) were estimated by comparing observed to population incidences of invasive breast cancer using Australian Cancer Incidence and Mortality Books. Six cases of invasive breast cancer were observed. The estimated SIRs were 1.14 (95% CI: 0.51-2.53) overall (n = 722), 1.29 (95% CI: 0.58-2.88) when restricted to first- and second-degree relatives of an affected mutation carrier (n = 442) and 0.48 (95% CI: 0.12-1.93) when restricted to those with no family history of breast cancer in the non-mutation carrying parental lineage (n = 424). There was no evidence that mutation negative women from families segregating BRCA1 or BRCA2 mutations are at increased risk of breast cancer. Despite this being the largest prospective cohort to assess this issue, moderately increased breast cancer risk (2-fold) cannot be ruled out.
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Affiliation(s)
- S L Harvey
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St, Melbourne, VIC 8006, Australia
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Price MA, Butow PN, Charles M, Bullen T, Meiser B, McKinley JM, McLachlan SA, Phillips KA. Predictors of breast cancer screening behavior in women with a strong family history of the disease. Breast Cancer Res Treat 2010; 124:509-19. [PMID: 20364401 DOI: 10.1007/s10549-010-0868-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2009] [Accepted: 03/20/2010] [Indexed: 01/06/2023]
Abstract
This study applied the self-regulation model to examine cognitive and emotional predictors of screening in unaffected women with a strong family history of breast cancer. 748 unaffected female members of an Australian registry of multiple-case breast cancer families formed the sample. Participants completed a baseline psychosocial questionnaire and a screening questionnaire 3 years later. Multinomial logistic regression was employed to determine predictors of under- and over-screening according to national guidelines. At follow-up 16% of women under-screened and 10% over-screened with mammography; 55% under-screened with clinical breast examination (CBE); and 9% over-screened with breast self-examination (BSE). Of the women found screening according to guidelines for mammography 72% reported ever having received specific recommendations for mammography screening from a health professional. Compared to appropriate screeners, under-screeners on mammography were less likely to have received a screening recommendation (as were under-screeners on CBE), were younger and reported lower perceived breast cancer risk, but were at higher relative risk (RR) of breast cancer and were more likely to report elevated depression. Over-screeners on mammography were more likely to be younger and have a lower RR of breast cancer. Over-screeners on BSE reported elevated cancer-specific anxiety, were less likely to be university educated and more likely to have received a recommendation for BSE. Under- and over-screening is common in women with a strong family history of breast cancer. Evaluation of interventions targeting perceived risk of breast cancer, anxiety and depression are needed to ensure women obtain accurate advice from relevant specialists and enact screening recommendations.
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Affiliation(s)
- Melanie A Price
- Centre for Medical Psychology and Evidence-based Decision-making, School of Psychology, The University of Sydney, Brennan MacCallum Building (A18), Sydney, NSW, 2006, Australia.
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Rauscher GH, Ferrans CE, Kaiser K, Campbell RT, Calhoun EE, Warnecke RB. Misconceptions about breast lumps and delayed medical presentation in urban breast cancer patients. Cancer Epidemiol Biomarkers Prev 2010; 19:640-7. [PMID: 20200436 DOI: 10.1158/1055-9965.epi-09-0997] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Despite current recommendations for women to be screened for breast cancer with mammography every 1 to 2 years, less than half of all newly diagnosed breast cancers are initially detected through screening mammography. Prompt medical attention to a new breast symptom can result in earlier stage at diagnosis, yet many patients delay seeking medical care after becoming aware of a breast symptom. METHODS In a population-based study of breast cancer, we examined factors potentially associated with patient delay in seeking health care for a breast symptom among 436 symptomatic urban breast cancer patients (146 white, 197 black, and 95 Hispanic). Race/ethnicity, socioeconomic status, health care access and utilization, and misconceptions about the meaning of breast lumps were the key independent variables. RESULTS Sixteen percent of patients reported delaying more than 3 months before seeking medical advice about breast symptoms. Misconceptions about breast lumps and lacking a regular provider, health insurance, and recent preventive care were all associated with prolonged patient delay (P < 0.005 for all). Misconceptions were much more common among ethnic minorities and women of lower socioeconomic status. CONCLUSION Reducing patient delay and disparities in delay will require educating women about the importance of getting breast lumps evaluated in a timely manner and providing greater access to regular health care.
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Affiliation(s)
- Garth H Rauscher
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, M/C 923, Chicago, IL 60612, USA.
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Contralateral risk-reducing mastectomy in BRCA1 and BRCA2 mutation carriers and other high-risk women in the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab). Breast Cancer Res Treat 2009; 120:715-23. [DOI: 10.1007/s10549-009-0497-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2009] [Accepted: 07/25/2009] [Indexed: 12/01/2022]
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Field K, Jenkins M, Friedlander M, McKinley J, Price M, Weideman P, Keogh L, McLachlan S, Lindeman G, Hopper J, Butow P, Phillips K. Predictors of the use of complementary and alternative medicine (CAM) by women at high risk for breast cancer. Eur J Cancer 2009; 45:551-60. [DOI: 10.1016/j.ejca.2008.09.023] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2008] [Revised: 08/28/2008] [Accepted: 09/25/2008] [Indexed: 12/31/2022]
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Dawson SJ, Price MA, Jenkins MA, McKinley JM, Butow PN, McLachlan SA, Lindeman GJ, Weideman P, Friedlander ML, Hopper JL, Phillips KA. Cancer risk management practices of noncarriers within BRCA1/2 mutation positive families in the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer. J Clin Oncol 2007; 26:225-32. [PMID: 18040054 DOI: 10.1200/jco.2007.11.0262] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Women from BRCA mutation-positive families who do not carry the family-specific mutation are generally at average cancer risk and therefore do not require intensive risk management. METHODS Participants were female noncarriers from BRCA mutation-positive families who had responded to 3 yearly follow-up questionnaires and had chosen to either receive or not receive their genetic test result. In the former group, undertaking mammography younger than age 40 years or more than once every 2 years, clinical breast examination (CBE) more than yearly, breast self-examination (BSE) more than monthly, or any transvaginal ultrasound (TVU) or CA-125 was considered overscreening. Screening behaviors of women who did and did not know their genetic test result were compared. Logistic regression and nonparametric analyses were performed to identify demographic and psychosocial factors (respectively) associated with overscreening. RESULTS Of 325 eligible women, 116 knew their mutation status and 209 did not. For the first group, proportions overscreening were mammography, 53%; CBE, 10%; BSE, 11%; TVU, 7%; and CA-125, 10%. There were no significant differences in screening behaviors between the groups. In those aware of their mutation status, parous women were more likely to overuse mammography (odds ratio [OR] = 4.4; 95% CI, 1.1 to 17; P = .03) and women with one or more first-degree relative with ovarian cancer (OC) were more likely to overuse OC screening (TVU: OR = 6.00; 95% CI, 1.0 to 35.1; P = .047, and CA-125: OR = 6.50; 95% CI, 1.49 to 28.4; P = .013). CONCLUSION The reasons for overuse of screening (particularly mammography) by mutation noncarriers require additional elucidation given the potential for harm.
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Affiliation(s)
- Sarah-Jane Dawson
- Division of Haematology and Medical Oncology, Peter MacCallum Cancer Centre, Locked Bag No. 1, A'Beckett St, Victoria, 8006, Australia
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McKinley JM, Weideman PC, Jenkins MA, Friedlander ML, Hopper JL, McLachlan SA, Lindeman GJ, Phillips KA. Prostate screening uptake in Australian BRCA1 and BRCA2 carriers. Hered Cancer Clin Pract 2007; 5:161-3. [PMID: 19725993 PMCID: PMC2736989 DOI: 10.1186/1897-4287-5-3-161] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2007] [Accepted: 09/05/2007] [Indexed: 11/10/2022] Open
Abstract
Men who carry mutations in BRCA1 or BRCA2 are at increased risk for prostate cancer. However the efficacy of prostate screening in this setting is uncertain and limited data exists on the uptake of prostate screening by mutation carriers. This study prospectively evaluated uptake of prostate cancer screening in a multi-institutional cohort of mutation carriers. Subjects were unaffected male BRCA1 and BRCA2 mutation carriers, aged 40–69 years, enrolled in the Kathleen Cuningham Consortium for Research into Familial Breast Cancer (kConFab) and who had completed a mailed, self-report follow-up questionnaire 3 yearly after study entry. Of the 75 male carriers in this study, only 26 (35%) had elected to receive their mutation result. Overall, 51 (68%) did not recall having received a recommendation to have prostate screening because of their family history, but 41 (55%) had undergone a prostate specific antigen (PSA) test and 32 (43%) a digital rectal examination (DRE) in the previous 3 years. Those who were aware of their mutation result were more likely to have received a recommendation for prostate screening (43 vs. 6%, p = 0.0001), and to have had a PSA test (77 vs. 43%, p = 0.005) and a DRE (69 vs. 29%, p = 0.001) in the previous 3 years. The majority of unaffected males enrolled in kConFab with a BRCA1/2 mutation have not sought out their mutation result. However, of those aware of their positive mutation status, most have undergone at least one round of prostate screening in the previous 3 years.
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Affiliation(s)
- Joanne M McKinley
- Division of Haematology and Medical Oncology, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St Victoria, 8006, Australia
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Price MA, Butow PN, Lo SK, Wilson J. Predictors of cancer worry in unaffected women from high risk breast cancer families: risk perception is not the primary issue. J Genet Couns 2007; 16:635-44. [PMID: 17828585 DOI: 10.1007/s10897-007-9105-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2006] [Accepted: 05/03/2007] [Indexed: 01/15/2023]
Abstract
Some women at increased familial risk of breast cancer experience elevated levels of cancer-specific worry, which can possibly act as a barrier to screening, and may be a significant factor in decisions regarding risk-reducing surgery. The aim of this study was to comprehensively examine predictors of cancer-specific worry in high risk women and to test a model which proposes that perceived breast cancer risk mediates the impact of other factors on worry. 1,437 unaffected women from high risk breast cancer families completed questionnaires and interviews. Path analysis was used to test the model of potential predictors of cancer worry, including familial, personal and psychological variables, mediated via perceived cancer risk. Levels of cancer-specific worry were generally low despite an average perceived risk of 50.3%. The goodness-of-fit of the proposed model was poor, explaining only 9% of the variance for perceived risk and 10% of the variance for cancer specific worry. An alternative model of a direct relationship between all of the predictor variables and cancer worry, explained 24% of the variation in cancer worry. General anxiety, perceived risk, the stressful impact of recent cancer related events, a relative risk greater than 10, being closer in age to the youngest breast cancer diagnosis in family, and knowledge of personal mutation status, all independently contributed to cancer worry. Addressing general affective responses, experiences of recent cancer related events, in addition to education about personal risk, should be considered in counselling women with elevated cancer worry. Risk perception appears to act independently of other factors in its formulation and impact on cancer worry. Further research on the way in which women come to perceive their risk is indicated.
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Affiliation(s)
- Melanie Anne Price
- Medical Psychology Research Unit, School of Psychology, Brennan MacCallum Building (A18), University of Sydney, Sydney, Australia.
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Phillips KA, Jenkins MA, Lindeman GJ, McLachlan SA, McKinley JM, Weideman PC, Hopper JL, Friedlander ML. Risk-reducing surgery, screening and chemoprevention practices of BRCA1 and BRCA2 mutation carriers: a prospective cohort study. Clin Genet 2006; 70:198-206. [PMID: 16922722 DOI: 10.1111/j.1399-0004.2006.00665.x] [Citation(s) in RCA: 60] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
This study prospectively evaluated the utilization of cancer risk management strategies in a multi-institutional cohort of BRCA1 and BRCA2 mutation carriers using a self-report questionnaire. Of 142 unaffected female mutation carriers, 70 (49%) had elected to receive their mutation result. Of those who knew their mutation result, 11% underwent bilateral mastectomy (BM), 29% had bilateral oophorectomy (BO), 78% performed regular breast self-examination (BSE), and 80%, 89%, 67%, and 0% had at least annual clinical breast examination (CBE), mammography, transvaginal ultrasound (TVU), and CA125, respectively. A further 20%, 7%, 0%, 21%, and 75%, respectively, reported never having had these tests. For women who elected not to receive their mutation result, 0% underwent BM, 6% underwent BO, and 77%, 42%, 56%, 7%, and 0% had regular BSE, CBE, mammography, TVU, and CA125, respectively. Only one woman used chemoprevention outside a clinical trial. Uptake of prophylactic surgery and screening was associated with knowing one's mutation status (for all behaviors except BSE), age (for BO and CBE) and residence (for mammography). In this cohort, the minority of mutation carriers utilized risk-reducing surgery or chemoprevention and a substantial minority were not undergoing regular cancer-screening tests.
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Affiliation(s)
- K-A Phillips
- Division of Hematology and Medical Oncology, Peter MacCallum Cancer Centre, University of Melbourne Department of Medicine, St Vincent's Hospital, Victoria, NSW, Australia.
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