Ontology highlight
ABSTRACT: Background
Metabolite profiles provide insight into biologic mechanisms contributing to breast cancer development. We explored the association between prediagnostic plasma metabolites (N = 307) and invasive breast cancer among postmenopausal women in a nested case-control study within the Nurses' Health Study (N = 1,531 matched pairs).Methods
Plasma metabolites were profiled via LC/MS-MS using samples taken ≥10 years (distant, N = 939 cases) and <10 years (proximate, N = 592 cases) before diagnosis. Multivariable conditional logistic regression was used to estimate ORs and 95% confidence intervals (CI) comparing the 90th to 10th percentile of individual metabolite level, using the number of effective tests (NEF) to account for testing multiple correlated hypotheses. Associa
SUBMITTER: Brantley KD
PROVIDER: S-EPMC8983458 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature