Development and application of an estrogen related dietary pattern to predict postmenopausal breast cancer.
Methods: STEP 1: Dietary intakes from the baseline dietary questionnaire (DQX) will be used from the subset of women in the intervention arm of the PLCO with data on 15 serum estrogen metabolites used in the nested study conducted by Fuhrman et al.(11) (will include controls with no cancer diagnosis along with all breast cancer cases who were diagnosed 10 years or later after baseline serum samples were drawn, to avoid any pathogenesis that may affect estrogen levels). The intakes will be categorized into 37 food groups based on the United States Department of Agriculture (USDA) Food Pattern Equivalents Database (FPED). All foods consumed in a particular food group will be averaged into grams per day intakes for use in the EDI. Using the food group intakes, a reduced rank regression (RRR) analysis will identify foods that are associated with serum estrogen metabolites, and the ERDI score will be derived. STEP 2: After development of the ERDI, Cox proportional hazard modeling will be used to estimate the hazard ratios and 95% confidence intervals for incident breast cancer risk by quantiles of ERDI. All subjects in the PLCO intervention arm with baseline DQX data will be included in the longitudinal analysis. Additional modeling will be performed to examine risk of breast cancer in different strata of subtype (ER+/-, PR+/-, HER2+/-) in relation to the ERDI.
Significance: Results will contribute to the growing literature on the relationship between breast cancer and dietary patterns. Estrogen is a major risk factor for breast cancer. Thus, identifying dietary patterns specifically related to estrogen metabolites may show stronger associations with breast cancer than previous studies of more general healthy eating dietary patterns and lead to more targeted prevention strategies.
1. Derive an estrogen-related dietary index (ERDI) based on food groups associated with baseline serum estrogen metabolite levels using a reduced rank regression analysis.
2. Perform a descriptive analysis characterizing the study population by ERDI scores.
3. Investigate the association between ERDI and incident breast cancer risk using Cox proportional hazard modeling. The ERDI will be treated as both continuous variable and categorized in quantiles to examine the dose-response relationship.
4. Investigate the association between the ERDI and incident breast cancer risk using Cox proportional hazard modeling within strata of cancer subtypes. Strata-specific analyses will include ER+/-, PR+/-, and HER2+/-.
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Susan Steck, University of South Carolina
Mark Guinter, University of South Carolina
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An estrogen-related lifestyle score is associated with risk of postmenopausal breast cancer in the PLCO cohort.
Guinter MA, McLain AC, Merchant AT, Sandler DP, Steck SE
Breast Cancer Res. Treat. 2018 Apr PUBMED -
A dietary pattern based on estrogen metabolism is associated with breast cancer risk in a prospective cohort of postmenopausal women.
Guinter MA, McLain AC, Merchant AT, Sandler DP, Steck SE
Int. J. Cancer. 2018 Mar PUBMED