Population-based genetic testing for Women's cancer prevention
Olivia Evans1, Faiza Gaba1, Ranjit Manchanda1
1Wolfson Institute of Preventive Medicine, Barts CRUK Cancer Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK; Department of Gynaecological Oncology, St Bartholomew's Hospital, EC1A 7BE, London, UK.
Population-based genetic testing (PBGT) offers a new strategy to identify women with cancer-susceptibility-genes (CSG), improving early detection and prevention. This approach aims to overcome the limitations of current family-history models in identifying at-risk individuals.
Area of Science:
- Genetics
- Oncology
- Preventive Medicine
Background:
- Germline mutations in cancer-susceptibility-genes (CSG) significantly elevate lifetime risks for ovarian, endometrial, breast, and bowel cancers in women.
- Current family-history models for identifying CSG carriers are ineffective, missing over 50% of carriers and leading to delayed detection and missed prevention opportunities.
- Over 97% of CSG carriers remain unidentified, representing a substantial gap in precision-prevention strategies.
Purpose of the Study:
- To review the clinical, psycho-social, health-economic, societal, and ethical implications of population-based genetic testing (PBGT) for women's cancer precision-prevention.
- To highlight PBGT as a novel healthcare strategy to improve the detection of unaffected CSG carriers and enable population risk-stratification.
- To address the need for large-scale implementation studies of PBGT in the general population, building on existing research in specific cohorts.
Main Methods:
- Review of current research on population-based genetic testing (PBGT) models.
- Analysis of studies assessing the impact, feasibility, acceptability, and cost-effectiveness of PBGT.
- Synthesis of psycho-social, health-economic, societal, and ethical consequences of PBGT for cancer prevention.
Main Results:
- Current family-history-based genetic testing models are inadequate, missing a majority of individuals with cancer-susceptibility-genes (CSG).
- Population-based genetic testing (PBGT) shows potential for significantly improving the identification of unaffected CSG carriers.
- Research on PBGT is emerging, with initial data suggesting feasibility and acceptability, though large-scale implementation studies are needed.
Conclusions:
- Population-based genetic testing (PBGT) represents a paradigm shift from traditional family-history models for identifying cancer-susceptibility-genes (CSG) carriers.
- PBGT holds significant promise for enhancing cancer precision-prevention strategies by enabling early risk identification and targeted interventions.
- Further research and large-scale implementation studies are crucial to fully realize the benefits of PBGT in diverse populations.
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