A prospective case-cohort analysis of plasma metabolites and breast cancer risk.

ABSTRACT:

Background

Breast cancer incidence rates have not declined despite an improvement in risk prediction and the identification of modifiable risk factors, suggesting the need to identify novel risk factors and etiological pathways involved in this cancer. Metabolomics has emerged as a promising tool to find circulating metabolites associated with breast cancer risk.

Methods

Untargeted metabolomic analysis was done on prediagnostic plasma samples from a case-cohort study of 1695 incident breast cancer cases and a 1983 women subcohort drawn from Cancer Prevention Study 3. The associations of 868 named metabolites (per one standard deviation increase) with breast cancer were determined using Prentice-weighted Cox proportional hazards regression modeling.

Results

A total of

SUBMITTER: Stevens VL 

PROVIDER: S-EPMC9847033 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature