Polygenic Risk Score Predicts Prostate Cancer Risk Independent of Type 2 Diabetes
Authors' conclusion
PrCa PRS effectively stratifies risk among men with and without T2DM, highlighting the independent contribution of genetic susceptibility. Lower IGF-1 levels in T2DM patients may partly mediate the reduced PrCa risk, suggesting a possible biological mechanism underlying these observations.
Study context
- Population
- Men in the UK Biobank and Penn Medicine Biobankover 140,000 men
- Exposure
- Prostate cancer (PrCa) polygenic risk score categories, by T2D status
- Outcome
- Whether a PrCa PRS predicts incident PrCa independently of T2D status
Methodological detailsUK Biobank and Penn Medicine Biobank, Cox proportional hazards models, interaction testing by T2D status
- UK Biobank and Penn Medicine Biobank
- Cox proportional hazards models
- Interaction testing by T2D status
Main finding
As reported in the abstract
Association of PrCa PRS with incident PrCa
- PrCa polygenic risk score (PRS) significantly associated with PrCa risk regardless of T2D status
- p < 0.001
Observational data: associations, not effects.
Secondary outcomes
Potential mediators: IGF-1 and sex hormones
- IGF-1 levels positively associated with PrCa risk in both diabetic and non-diabetic men
- Sex hormone levels showed no significant association in men with T2D
- Adjusting for testosterone and IGF-1 did not attenuate the PRS–PrCa association
Original publication
Polygenic Risk Score Predicts Prostate Cancer Risk Independent of Type 2 Diabetes. Diabetes Obes Metab. Published 26 March 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →