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Updated: Jan 28, 2026
07:01
Pre-clinical Orthotopic Murine Model of Human Prostate Cancer
Published on: August 29, 2016
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Genomic risk model to implement precision prostate cancer screening in clinical care: the ProGRESS study
Jason L Vassy1,2,3, Anna M Dornisch4, Roshan Karunamuni4,5
1VA Boston Healthcare System, Boston, MA, USA. jvassy@bwh.harvard.edu.
Nature Cancer
|January 26, 2026
Summary
A new prostate cancer risk model, P-CARE, combines genetics and family history to identify men at higher risk. This genomics-informed tool enhances precision prostate cancer screening and prevention strategies.
Area of Science:
- Genomics
- Oncology
- Preventive Medicine
Background:
- Precision healthcare tailors disease prevention to individual risk.
- Genomics-informed approaches can improve prostate cancer screening.
Purpose of the Study:
- To develop and validate the P-CARE model for prostate cancer risk prediction.
- To assess the model's association with different prostate cancer outcomes.
Main Methods:
- Developed the P-CARE model using polygenic score, family history, and genetic ancestry.
- Utilized data from over 585,000 male participants in the Million Veteran Program.
- Externally validated the model in diverse cohorts and implemented it via a blended genome-exome assay.
Main Results:
- The P-CARE model identified clinically meaningful gradients of prostate cancer risk.
- Higher P-CARE scores correlated with increased risk of any, metastatic, and fatal prostate cancer.
- The model is currently being used in a clinical trial for precision prostate cancer screening.
Conclusions:
- The P-CARE model demonstrates potential for improving prostate cancer screening and prevention.
- Genomics-enabled health systems can enhance personalized cancer care.
- The study highlights the clinical utility of integrated genomic and clinical data for risk stratification.
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