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Population Study of Ovarian Cancer Risk Prediction for Targeted Screening and Prevention
| Content Provider | MDPI |
|---|---|
| Author | Gaba, Faiza Blyuss, Oleg Liu, Xinting Goyal, Shivam Lahoti, Nishant Chandrasekaran, Dhivya Kurzer, Margarida Kalsi, Jatinderpal Sanderson, Saskia Lanceley, Anne Ahmed, Munaza Side, Lucy Gentry-Maharaj, Aleksandra Wallis, Yvonne Wallace, Andrew Waller, Jo Luccarini, Craig Yang, Xin Dennis, Joe Dunning, Alison Lee, Andrew Antoniou, Antonis C. Legood, Rosa Menon, Usha Jacobs, Ian Manchanda, Ranjit |
| Copyright Year | 2020 |
| Description | 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. Inclusion criteria: women ≥18 years. Exclusion criteria: 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 personalised OC risk estimate using genetic/lifestyle/hormonal OC risk factors. Population genetic testing (PGT)/OC risk stratification uptake/acceptability, satisfaction, decision aid/telephone helpline use, psychological health and quality of life were assessed using validated/customised questionnaires over six months. Linear-mixed models/contrast tests analysed impact on study outcomes. Main outcomes: feasibility/acceptability, uptake, decision aid/telephone helpline use, satisfaction/regret, and impact on psychological health/quality of life. In total, 123 volunteers (mean age = 48.5 (SD = 15.4) years) used the decision aid, 105 (85%) consented. None fulfilled NHS genetic testing clinical criteria. OC risk stratification revealed 1/103 at ≥10% (high), 0/103 at ≥5%– |
| Starting Page | 1241 |
| e-ISSN | 20726694 |
| DOI | 10.3390/cancers12051241 |
| Journal | Cancers |
| Issue Number | 5 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-05-15 |
| Access Restriction | Open |
| Subject Keyword | Cancers Obstetrics and Gynecology Population Genetic Testing Ovarian Cancer Risk Risk Stratification Brca1 Brca2 Rad51c Rad51d Brip1 Snp Risk Modelling |
| Content Type | Text |
| Resource Type | Article |
