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Age-specific breast cancer risk by body mass index and familial risk: prospective family study cohort (ProF-SC).
Hopper, John L; Dite, Gillian S; MacInnis, Robert J; Liao, Yuyan; Zeinomar, Nur; Knight, Julia A; Southey, Melissa C; Milne, Roger L; Chung, Wendy K; Giles, Graham G; Genkinger, Jeanine M; McLachlan, Sue-Anne; Friedlander, Michael L; Antoniou, Antonis C; Weideman, Prue C; Glendon, Gord; Nesci, Stephanie; Andrulis, Irene L; Buys, Saundra S; Daly, Mary B; John, Esther M; Phillips, Kelly Anne; Terry, Mary Beth.
Afiliación
  • Hopper JL; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia. j.hopper@unimelb.edu.au.
  • Dite GS; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.
  • MacInnis RJ; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.
  • Liao Y; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Zeinomar N; Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY, USA.
  • Knight JA; Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY, USA.
  • Southey MC; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
  • Milne RL; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
  • Chung WK; Department of Pathology, Genetic Epidemiology Laboratory, The University of Melbourne, Parkville, VIC, Australia.
  • Giles GG; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, CA, VIC 3168, USA.
  • Genkinger JM; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.
  • McLachlan SA; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Friedlander ML; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.
  • Antoniou AC; Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA.
  • Weideman PC; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.
  • Glendon G; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Nesci S; Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, 7th Floor, New York, NY, USA.
  • Andrulis IL; Department of Medical Oncology, St Vincent's Hospital, Fitzroy, VIC, Australia.
  • Buys SS; Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia.
  • Daly MB; Department of Medical Oncology, Prince of Wales Hospital, Randwick, NSW, Australia.
  • John EM; Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK.
  • Phillips KA; Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia.
  • Terry MB; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
Breast Cancer Res ; 20(1): 132, 2018 11 03.
Article en En | MEDLINE | ID: mdl-30390716
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Índice de Masa Corporal / Sistema de Registros / Anamnesis Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged País/Región como asunto: America do norte / Oceania Idioma: En Revista: Breast Cancer Res Asunto de la revista: NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Índice de Masa Corporal / Sistema de Registros / Anamnesis Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged País/Región como asunto: America do norte / Oceania Idioma: En Revista: Breast Cancer Res Asunto de la revista: NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: Australia