Machine Learning Approach Identifies miRNA Biomarkers for Post Surgical Patient Stratification in Prostate Cancer

Our study presents a miRNA-based machine learning model that distinguishes metastatic from non-metastatic prostate cancer patients following surgery. The panel's alignment with CAPRA underscores its clinical relevance and highlights its potential for integration into future clinical frameworks.

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Publication Details

Journal
The Prostate
Published
2025-08-16
DOI
https://doi.org/10.1002/pros.70034
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine Learning Approach Identifies miRNA Biomarkers for Post Surgical Patient Stratification in Prostate Cancer

Arun Seth, Yutaka Amemiya, Gobi Thillainadesan, Robert K. Nam
2 links
The Prostate
MicroRNA in disease regulation
article

Machine Learning Approach Identifies miRNA Biomarkers for Post Surgical Patient Stratification in Prostate Cancer

Arun Seth, Yutaka Amemiya, Gobi Thillainadesan, Robert K. Nam
article en

Abstract

Our study presents a miRNA-based machine learning model that distinguishes metastatic from non-metastatic prostate cancer patients following surgery. The panel's alignment with CAPRA underscores its clinical relevance and highlights its potential for integration into future clinical frameworks.

The ProstateVol. 85(16)
Sunnybrook Health Science Centre (CA)
Sunnybrook Foundation
Reduced inequalities
Openalex Percentile: Top 73%
MicroRNA in disease regulation
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