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. 2014 Jun 26;9(6):e98675.
doi: 10.1371/journal.pone.0098675. eCollection 2014.

miR-1 and miR-133b are differentially expressed in patients with recurrent prostate cancer

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miR-1 and miR-133b are differentially expressed in patients with recurrent prostate cancer

Omer Faruk Karatas et al. PLoS One. .

Abstract

Prostate cancer (PCa) is currently the most frequently diagnosed malignancy in the western countries. It is more prevalent in older men with 75% of the incident cases above 65 years old. After radical prostatectomy, approximately 30% of men develop clinical recurrence with elevated serum prostate-specific antigen levels. Therefore, it is important to unravel the molecular mechanisms underlying PCa progression to develop novel diagnostic/therapeutic approaches. In this study, it is aimed to compare the microRNA (miRNA) profile of recurrent and non-recurrent prostate tumor tissues to explore the possible involvement of miRNAs in PCa progression. Total RNA from 41 recurrent and 41 non-recurrent PCa tissue samples were used to investigate the miRNA signature in PCa specimens. First of all, 20 recurrent and 20 non-recurrent PCa samples were profiled using miRNA microarray chips. Of the differentially expressed miRNAs, miR-1, miR-133b and miR-145* were selected for further validation with qRT-PCR in a different set of 21 recurrent and 21 non-recurrent PCa samples. Data were statistically analyzed using two-sided Student's t-test, Pearson Correlation test, Receiver operating characteristic analysis. Our results demonstrated that miR-1 and mir-133b have been significantly downregulated in recurrent PCa specimens in comparison to non-recurrent PCa samples and have sufficient power to distinguish recurrent specimens from non-recurrent ones on their own. Here, we report that the relative expression of miR-1 and mir-133b have been significantly reduced in recurrent PCa specimens in comparison to non-recurrent PCa samples, which can serve as novel biomarkers for prediction of PCa progression.

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Conflict of interest statement

Competing Interests: CJC is a PLOS ONE Editorial Board member and this does not alter the authors' adherence to PLOS ONE Editorial policies and criteria.

Figures

Figure 1
Figure 1. Heatmap representation of significantly deregulated miRNAs.
(A) Heat-map representation of significantly deregulated miRNAs in recurrent PCa specimens vs. non-recurrent PCa specimens. (B) Heat-map representation of miR-1, miR-133b and miR-145* in recurrent PCa specimens vs. non-recurrent PCa specimens.
Figure 2
Figure 2. Relative expression levels of miR-1, miR-133b, and miR-145*.
Relative expression levels of (A) miR-1, (B) miR-133b, and (C) miR-145* in 20 recurrent PCa specimens compared to 20 non-recurrent PCa specimens. RNU43 was used for normalization of miRNA expression analyses.
Figure 3
Figure 3. Pearson Correlation analysis of miR-1 and miR-133b.
Figure 4
Figure 4. ROC analysis of miR-1 and miR-133b.
Curves for individual miRNAs and their cooperative power to discriminate two sets of patients comprised of 20 recurrent and 20 non-recurrent PCa specimens.

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