Association Between the Decipher Genomic Classifier and Prostate Cancer Outcome in the Real-world Setting
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View abstract on PubMed
Summary
This summary is machine-generated.The Decipher genomic classifier (GC) accurately predicts metastasis and recurrence risk in prostate cancer patients in real-world settings. This study validates its prognostic significance in contemporary clinical practice.
Area Of Science
- Genomic Medicine
- Oncology
- Prostate Cancer Research
Background
- Prognostic significance of Decipher prostate cancer genomic classifier (GC) is mainly from archival tissue.
- Limited data exists on Decipher GC associations with outcomes in real-world, contemporaneous settings.
Purpose Of The Study
- Assess Decipher GC associations with metastasis and biochemical recurrence (BCR) risks.
- Evaluate outcomes in patients receiving real-world testing and treatment.
Main Methods
- Retrospective cohort study linking Decipher GC transcriptomic data with real-world clinical data (RWD).
- Analysis of insurance claims, pharmacy records, and EHR data.
- Kaplan-Meier and Cox proportional hazards regressions used for outcome analysis.
Main Results
- Over 58,935 participants underwent Decipher testing (biopsy and RP specimens).
- Decipher GC independently associated with metastasis risk in biopsy-tested (HR 1.21) and RP-tested (HR 1.20) patients.
- Decipher GC associated with BCR risk in RP-tested patients (HR 1.12).
Conclusions
- Real-world, national-scale study supports external prognostic validity of Decipher GC.
- Findings validate Decipher GC use in contemporary prostate cancer management.
- Genomic classifier aids in estimating prostate cancer recurrence and metastasis risk.
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