Combining magnetic resonance imaging with a multi-ancestry polygenic risk score to improve identification of clinically significant prostate cancer
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View abstract on PubMed
Summary
This summary is machine-generated.Adding a polygenic risk score (PRS) to multi-parametric MRI (mpMRI) improves detection of clinically significant prostate cancer. This genetic tool can help identify men at higher risk, potentially reducing missed diagnoses.
Area Of Science
- Oncology
- Genetics
- Radiology
Background
- Multi-parametric magnetic resonance imaging (mpMRI) is crucial for detecting clinically significant prostate cancer.
- Genetic predisposition plays a role in prostate cancer development.
Purpose Of The Study
- To evaluate if a 400-variant multi-ancestry polygenic risk score (PRS) enhances mpMRI's accuracy in identifying clinically significant prostate cancer.
- To assess the PRS's impact on reducing missed diagnoses in a simulated biopsy selection scenario.
Main Methods
- Analysis of data from 24,617 men in the Mass General Brigham Biobank, focusing on 1243 who underwent mpMRI.
- Comparison of clinically significant prostate cancer rates between PRS quartiles.
- Modeling the effect of PRS on biopsy selection to estimate missed cancer rates.
Main Results
- Men in the top PRS quartile showed a significantly higher likelihood of having clinically significant prostate cancer (47.1% vs. 28.6%).
- The PRS improved identification of significant cancer regardless of mpMRI results.
- Incorporating PRS in a biopsy selection model reduced missed clinically significant cancers from 9.1% to 5.9%.
Conclusions
- A multi-ancestry polygenic risk score (PRS) shows promise in augmenting mpMRI for prostate cancer detection.
- The PRS may improve the identification of potentially lethal prostate cancer and refine biopsy strategies.
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