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Updated: Mar 22, 2026
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
Novel diagnostic and prognostic classifiers for prostate cancer identified by genome-wide microRNA profiling
Helle Kristensen1,2, Anni R Thomsen2, Christa Haldrup1
1Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Purpose:
This study investigates the diagnostic and prognostic biomarker potential of miRNAs in prostate cancer (PC).
Results:
We identified several new deregulated miRNAs between non-malignant (NM) and PC tissue samples and between more/less aggressive PC subgroups. We also developed and validated a novel 13-miRNA diagnostic classifier with high sensitivity and specificity for PC. Finally, we trained a new 3-miRNA prognostic classifier (miR-185-5p+miR-221-3p+miR-326) that predicted time to biochemical recurrence (BCR) independently of routine clinicopathological variables in a training radical prostatectomy (RP) cohort (n = 126) as well as in two independent validation cohorts (n = 110 and n = 99).
Experimental Design:
After RT-qPCR-based profiling of 752 miRNAs in 13 NM and 134 PC tissue samples (cohort 1), we selected 93 top candidate diagnostic/prognostic miRNAs for validation in two independent patient sets (cohort 2: 19 NM and 138 PC; cohort 3: 28 NM and 113 PC samples). Diagnostic potential was assessed by ROC curve analysis and prognostic potential by Kaplan-Meier, uni- and multivariate Cox regression analyses. BCR after RP was used as endpoint.
Conclusions:
This is the first report of a miRNA signature with significant independent prognostic value demonstrated in three PC patient cohorts.
