| Title: | The current state of polygenic scores for the development of lung cancer: a systematic review and validation in UK Biobank |
| Journal: | British Journal of Cancer |
| Published: | 8 Jan 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41507563/ |
| DOI: | https://doi.org/10.1038/s41416-025-03330-9 |
| URL: | https://www.nature.com/articles/s41416-025-03330-9.pdf |
Publication 18697
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Abstract
BackgroundRisk-stratified lung cancer screening programs identify high-risk individuals who use tobacco but do not account for underlying genetic susceptibility. Many polygenic scores (PGS) have been developed for lung cancer, but it is unclear which, if any, are suitable for identifying high-risk individuals in the general population.MethodsWe used a systematic review to identify published lung cancer PGS, which were implemented and validated in the UK Biobank (UKB) cohort. Performance (discrimination and accuracy) was compared. Subgroup analyses by sex, ethnicity, and smoking status identified differences across the population.ResultsWe identified 60 lung cancer PGS published since 2012. Most scores were associated with lung cancer risk in UKB. Of the 39 evaluated PGS, 33 had a hazard ratio per standard deviation greater than 1.1 and 22 had a C-index greater than 0.55. Most PGS perform better in individuals who use tobacco than those who do not, although for a small number of scores (n = 8) the reverse is true.DiscussionPerformance of lung cancer PGS is weak compared to scores for other cancers; the potential benefit of combining genetics with other risk factors for lung cancer remains unclear. Selection of a suitable score is context dependent and requires consideration of the characteristics of the target population (such as ethnicity and tobacco usage).</p>
4 Authors
- Bayan Galal
- Joe Dennis
- Antonis C. Antoniou
- Hannah Harrison
1 Application
| Application ID | Title |
|---|---|
| 28126 | Validating risk prediction models for common hormonal cancers |
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