Women with a high proportion of mammographically dense breast tissue have a three to six-fold increased risk of developing breast cancer. The percent of the breast that appears dense on a mammogram reflects the proportion of stromal and epithelial tissue compared to fat, and varies considerably among healthy women. In well-designed studies, the magnitude of the breast cancer risk associated with increased mammographic density exceeded that of most other predictors, and was independent of the traditional breast cancer risk factors. The proposed study will expand the current understanding of mammographic density and for the first time evaluate the associations between plasma levels of endogenous hormones, growth factors, insulin, cholesterol, nutrients and antioxidants with mammographic density and breast cancer risk. This study benefits from the prospective design and extensive information available for the subjects in the ongoing case-control study of plasma biomarkers and breast cancer risk (CA49449), nested within the Nurse's Health Study (CA40356). It is estimated that both mammographic information and plasma biomarkers will be available for 690 cases and 924 controls. Among these cases and controls this study will determine if the breast cancer risk associated with mammographic density is explained by the plasma levels of growth factors, insulin, cholesterol, nutrients and antioxidants. Among the 233 cases and 466 controls who were postmenopausal and not using postmenopausal hormones at the time of the blood donation, this study is intended to determine if the breast cancer risk associated with mammographic density is partially explained by the plasma levels of endogenous hormones. To assess mammographic density this study will employ a newly developed method, which is designed to determine the percent of the breast area with mammographic density based on a texture analysis of the digitized image, capturing the relation between stromal and epithelial tissue. As part of this study, the new computerized system to assess mammographic features will be compared to the existing techniques of assessing percent mammographic density: 1) a visual assessment of percent density by a radiologist; 2) measured assessment from the marked area of density; and 3) a computer-assisted measure of percent density from a grey-scale based system.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
1R29CA075016-01
Application #
2377185
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Project Start
1997-07-03
Project End
2002-06-30
Budget Start
1997-07-03
Budget End
1998-06-30
Support Year
1
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02115
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Lindström, Sara; Vachon, Celine M; Li, Jingmei et al. (2011) Common variants in ZNF365 are associated with both mammographic density and breast cancer risk. Nat Genet 43:185-7
Green, Angela K; Hankinson, Susan E; Bertone-Johnson, Elizabeth R et al. (2010) Mammographic density, plasma vitamin D levels and risk of breast cancer in postmenopausal women. Int J Cancer 127:667-74
Tamimi, Rulla M; Colditz, Graham A; Hankinson, Susan E (2009) Circulating carotenoids, mammographic density, and subsequent risk of breast cancer. Cancer Res 69:9323-9
Tamimi, Rulla M; Brugge, Joan S; Freedman, Matthew L et al. (2008) Circulating colony stimulating factor-1 and breast cancer risk. Cancer Res 68:18-21
Tamimi, Rulla M; Cox, David; Kraft, Peter et al. (2008) Breast cancer susceptibility loci and mammographic density. Breast Cancer Res 10:R66
Samimi, Goli; Colditz, Graham A; Baer, Heather J et al. (2008) Measures of energy balance and mammographic density in the Nurses'Health Study. Breast Cancer Res Treat 109:113-22
Tamimi, Rulla M; Byrne, Celia; Colditz, Graham A et al. (2007) Endogenous hormone levels, mammographic density, and subsequent risk of breast cancer in postmenopausal women. J Natl Cancer Inst 99:1178-87
Tamimi, Rulla M; Cox, David G; Kraft, Peter et al. (2007) Common genetic variation in IGF1, IGFBP-1, and IGFBP-3 in relation to mammographic density: a cross-sectional study. Breast Cancer Res 9:R18
Tamimi, Rulla M; Hankinson, Susan E; Colditz, Graham A et al. (2005) Endogenous sex hormone levels and mammographic density among postmenopausal women. Cancer Epidemiol Biomarkers Prev 14:2641-7

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