Ontology highlight
ABSTRACT: Background
Risk factors have a limited ability to predict individuals at high risk of developing ovarian cancer among average-risk women, highlighting the need for discovery of novel biomarkers. In the UK Biobank, we investigated serum biomarkers commonly measured in clinical laboratory tests and ovarian cancer risk.Methods
We conducted a prospective analysis of 20 serum biomarkers and ovarian cancer risk in 232,037 female UK Biobank participants (including 1,122 incident ovarian cancer cases diagnosed from 2006 to 2020). Multivariable adjusted Cox proportional hazards models were used to examine associations between biomarkers and ovarian cancer risk overall and by histotype. FDR was used to account for multiple testing.Results
Overall, higher levels of insulin-lik
SUBMITTER: Sasamoto N
PROVIDER: S-EPMC11446659 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature