Population Study of Ovarian Cancer Risk Prediction for Targeted Screening and Prevention.

ABSTRACT: Unselected population-based personalised ovarian cancer (OC) risk assessment combining genetic/epidemiology/hormonal data has not previously been undertaken. We aimed to perform a feasibility study of OC risk stratification of general population women using a personalised OC risk tool followed by risk management. Volunteers were recruited through London primary care networks. women ≥18 years. prior ovarian/tubal/peritoneal cancer, previous genetic testing for OC genes. Participants accessed an online/web-based decision aid along with optional telephone helpline use. Consenting individuals completed risk assessment and underwent genetic testing (BRCA1/BRCA2/RAD51C/RAD51D/BRIP1, OC susceptibility single-nucleotide polymorphisms). A validated OC risk prediction algorithm provided a personalis

SUBMITTER: Gaba F 

PROVIDER: S-EPMC7281662 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature