Journal article

Benign breast disease increases breast cancer risk independent of underlying familial risk profile: Findings from a Prospective Family Study Cohort

Nur Zeinomar, Kelly-Anne Phillips, Mary B Daly, Roger L Milne, Gillian S Dite, Robert J MacInnis, Yuyan Liao, Rebecca D Kehm, Julia A Knight, Melissa C Southey, Wendy K Chung, Graham G Giles, Sue-Anne McLachlan, Michael L Friedlander, Prue C Weideman, Gord Glendon, Stephanie Nesci, Irene L Andrulis, Saundra S Buys, Esther M John Show all

INTERNATIONAL JOURNAL OF CANCER | WILEY | Published : 2019

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...

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Grants

Awarded by Australian National Breast Cancer Foundation


Awarded by Cancer Australia


Awarded by National Cancer Institute, NIH


Awarded by National Center for Advancing Translational Sciences


Awarded by National Health and Medical Research Council


Awarded by National Institute of Health USA


Awarded by NATIONAL CANCER INSTITUTE


Awarded by NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES


Funding Acknowledgements

Grant sponsor: Australian National Breast Cancer Foundation; Grant numbers: IF 17 kConFab, PRAC-17-004; Grant sponsor: Cancer Australia; Grant number: 809195; Grant sponsor: National Cancer Institute, NIH; Grant numbers: T32-CA009529, UM1 CA164920; Grant sponsor: National Center for Advancing Translational Sciences; Grant number: TL1 TR001875; Grant sponsor: National Health and Medical Research Council; Grant numbers: 145684, 288704, 454508; Grant sponsor: National Institute of Health USA; Grant number: 1RO1CA159868