4.5 Article

Body mass index, mammographic density, and breast cancer risk by estrogen receptor subtype

期刊

BREAST CANCER RESEARCH
卷 21, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s13058-019-1129-9

关键词

Breast neoplasms; Epidemiology; Risk factors; Mammographic breast density; Prevention

类别

资金

  1. National Institutes of Health, National Cancer Institute (NCI) [R01 CA140286, R01 CA128931, P50 CA58207, P50 CA116201, R01 CA97396, R01 CA122340, P01 CA087969, P01 CA154292, R01 CA050385, R01 CA124865, R01 CA131332]
  2. Breast Cancer Research Foundation
  3. Department of Defense [DAMD 17-00-1-033]
  4. National Center for Advancing Translational Sciences of the NIH [KL2TR001870]
  5. Dahod Breast Cancer Research Program at Boston University
  6. National Cancer Institute [HHSN261201100031C]

向作者/读者索取更多资源

Background: Obesity and elevated breast density are common risk factors for breast cancer, and their effects may vary by estrogen receptor (ER) subtype. However, their joint effects on ER subtype-specific risk are unknown. Understanding this relationship could enhance risk stratification for screening and prevention. Thus, we assessed the association between breast density and ER subtype according to body mass index (BMI) and menopausal status. Methods: We conducted a case-control study nested within two mammography screening cohorts, the Mayo Mammography Health Study and the San Francisco Bay Area Breast Cancer SPORE/San Francisco Mammography Registry. Our pooled analysis contained 1538 ER-positive and 285 ER-negative invasive breast cancer cases and 4720 controls matched on age, menopausal status at time of mammogram, and year of mammogram. Percent density was measured on digitized film mammograms using computer-assisted techniques. We used polytomous logistic regression to evaluate the association between percent density and ER subtype by BMI subgroup (normal/underweight, < 25 kg/m(2) versus overweight/obese, >= 25 kg/m(2)). We used Wald chi-squared tests to assess for interactions between percent density and BMI. Our analysis was stratified by menopausal status and hormone therapy usage at the time of index mammogram. Results: Percent density was associated with increased risk of overall breast cancer regardless of menopausal status or BMI. However, when analyzing breast cancer across ER subtype, we found a statistically significant (p = 0.008) interaction between percent density and BMI in premenopausal women only. Specifically, elevated percent density was associated with a higher risk of ER-negative than ER-positive cancer in overweight/obese premenopausal women [OR per standard deviation increment 2.17 (95% Cl 1.50-3.16) vs 1.33 (95% Cl 1.11-1.61) respectively, P-heterogeneity = 0.01]. In postmenopausal women, elevated percent density was associated with similar risk of ER-positive and ER-negative cancers, and no substantive differences were seen after accounting for BMI or hormone therapy usage. Conclusions: The combination of overweight/obesity and elevated breast density in premenopausal women is associated with a higher risk of ER-negative compared with ER-positive cancer. Eighteen percent of premenopausal women in the USA have elevated BMI and breast density and may benefit from lifestyle modifications involving weight loss and exercise.

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