Urinary extracellular vesicle microRNA profiles and prostate cancer biopsy outcome: Moderate discrimination and quantified optimism under leakage-controlled machine learning
Background: Urinary extracellular-vesicle-associated microRNAs are candidates for non-invasive prostate cancer assessment. We evaluated discrimination between GSE159177 records annotated with a Gleason Score and those labelled Control; individual negative-biopsy status could not be confirmed. Results: The frozen analysis set comprised 465 urinary sample records (278 Gleason-labelled; 187 Control-labelled). Biological annotation retained 2578 mature human microRNA probes from 6658 array probes. Five-fold nested c…
With leakage-controlled nested cross-validation, the model reached only moderate discrimination and missed 44.2% of positive-labelled records, so it is not suitable for clinical use.
Participant independence could not be resolved without a grouping key, repetitions reused the same records, and negative-biopsy status could not be confirmed, so the results are not independent validation.
Evidence
- Peer-reviewedBiochemistry and Biophysics Reports2026-10-01
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Truvace Impact Record TRV-2026-1764, v1: “Urinary extracellular vesicle microRNA profiles and prostate cancer biopsy outcome: Moderate discrimination and quantified optimism under leakage-controlled machine learning.” Truvace, 2026-10-18. /record/TRV-2026-1764 (accessed at citation time). sha256 8c4832c2cad92b79…
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