Nutrient pathways and breast cancer risk: The long island breast cancer study project

Patrick T. Bradshaw, Nikhil K. Khankari, Susan L. Teitelbaum, Xinran Xu, Brian N. Fink, Susan E. Steck, Mia M. Gaudet, Geoffrey C. Kabat, Mary S. Wolff, Alfred I. Neugut, Jia Chen, Marilie D. Gammon

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


The relative importance of biochemical pathways has not been previously examined when considering the influence of diet on breast cancer risk. To address this issue, we used interview data from a population-based sample of 1463 breast cancer cases and 1500 controls. Dietary intake was assessed shortly after diagnosis using a 101-item food frequency questionnaire. Age- and energy-adjusted odds ratios (ORs) for individual micro- and macronutrients were estimated with logistic regression. Hierarchical modeling was used to account for biologically plausible nutrient pathways (1-carbon metabolism, oxidative stress, glycemic control, and phytoestrogens). Effect estimates from hierarchical modeling were more precise and plausible compared to those from multivariable models. The strongest relationship observed was for the glycemic control pathway, but confidence intervals (CI) were wide [OR (95% CI): 0.86 (0.62, 1.21)]. Little or no effect was observed for the 1-carbon metabolism, oxidative stress, and phytoestrogen pathways. Associations were similar when stratified by supplement use. Our approach that emphasizes biochemical pathways, rather than individual nutrients, revealed that breast cancer risk may be more strongly associated with glycemic control factors than those from other pathways considered. Our study emphasizes the importance of accounting for multiple nutrient pathways when examining associations between dietary intake and breast cancer.

Original languageEnglish
Pages (from-to)345-354
Number of pages10
JournalNutrition and Cancer
Issue number3
StatePublished - 1 Apr 2013


Dive into the research topics of 'Nutrient pathways and breast cancer risk: The long island breast cancer study project'. Together they form a unique fingerprint.

Cite this