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Novel diagnostic and prognostic classifiers for prostate cancer identified by genome-wide microRNA profiling.


ABSTRACT:

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.

SUBMITTER: Kristensen H 

PROVIDER: S-EPMC5058715 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Publications

Novel diagnostic and prognostic classifiers for prostate cancer identified by genome-wide microRNA profiling.

Kristensen Helle H   Thomsen Anni R AR   Haldrup Christa C   Dyrskjøt Lars L   Høyer Søren S   Borre Michael M   Mouritzen Peter P   Ørntoft Torben F TF   Sørensen Karina Dalsgaard KD  

Oncotarget 20160501 21


<h4>Purpose</h4>This study investigates the diagnostic and prognostic biomarker potential of miRNAs in prostate cancer (PC).<h4>Results</h4>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  ...[more]

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