Mammographic density and risk of breast cancer by tumor characteristics: a case-control study

Kavitha Krishnan; Laura Baglietto; Jennifer Stone; Catriona McLean; Melissa C Southey; Dallas R English; Graham G Giles; John L Hopper

Journal article

Mammographic density and risk of breast cancer by tumor characteristics: a case-control study

Kavitha Krishnan, Laura Baglietto, Jennifer Stone, Catriona McLean, Melissa C Southey, Dallas R English, Graham G Giles, John L Hopper

BMC CANCER | BMC | Published : 2017

DOI: 10.1186/s12885-017-3871-7

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Abstract

BACKGROUND: In a previous paper, we had assumed that the risk of screen-detected breast cancer mostly reflects inherent risk, and the risk of whether a breast cancer is interval versus screen-detected mostly reflects risk of masking. We found that inherent risk was predicted by body mass index (BMI) and dense area (DA) or percent dense area (PDA), but not by non-dense area (NDA). Masking, however, was best predicted by PDA but not BMI. In this study, we aimed to investigate if these associations vary by tumor characteristics and mode of detection. METHODS: We conducted a case-control study nested within the Melbourne Collaborative Cohort Study of 244 screen-detected cases matched to 700 cont..

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University of Melbourne Researchers

Graham Giles Author Melbourne School of Population and Global Health

Laura Baglietto Author Melbourne School of Population and Global Health

Catriona McLean Author Florey Department of Neuroscience and Mental Health

John Hopper Author Melbourne School of Population and Global Health

Dallas English Author Melbourne School of Population and Global Health

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Awarded by National Health and Medical Research Council

Awarded by National Breast Cancer Foundation

Funding Acknowledgements

The MCCS is a research platform designed and maintained by Cancer Council Victoria. Recruitment to the MCCS was funded by Cancer Council of Victoria assisted by a grant in aid from VicHealth. Cancer Council Victoria continues to support MCCS maintenance and follow-up. This work was designed and supported by Cancer Council Victoria, assisted by grants from the Victorian Breast Cancer Research Consortium, the National Health and Medical Research Council (209,057 and 396,414), and the National Breast Cancer Foundation and by infrastructure (Australian Mammographic Density Research Facility) provided by the University of Melbourne. KK was supported by the John and Allan Gilmour Research Award and the May Stewart Bursary scholarships. JLH is a Senior Principal Research Fellow of the National Health and Medical Research Council and a Redmond Barry Distinguished Professor of the University of Melbourne. MCS is a Senior Research Fellow of the National Health and Medical Research Council. LB is supported by a Marie Curie International Incoming Fellowship within the 7th European Community Framework Programme.