Ontology highlight
ABSTRACT: Background
The mechanisms and risk factors underlying ovarian cancer (OC) remain under investigation, making the identification of new prognostic biomarkers and improved predictive factors critically important. Recently, circulating metabolites have shown potential in predicting survival outcomes and may be associated with the pathogenesis of OC. However, research into their genetic determinants is limited, and there are some inadequacies in understanding the distinct subtypes of OC. In this context, we conducted a Mendelian randomization study aiming to provide evidence for the relationship between genetically determined metabolites (GDMs) and the risk of OC and its subtypes.Methods
In this study, we consolidated genetic statistical data of GDMs with OC and its subtypes th
SUBMITTER: Liu S
PROVIDER: S-EPMC10804794 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature