Androgen-regulated miR-32 targets BTG2 and is overexpressed in castration-resistant prostate cancer.

The androgen receptor (AR) signaling pathway is involved in the emergence of castration-resistant prostate cancer (CRPC). Here, we identified several androgen-regulated microRNAs (miRNAs) that may contribute to the development of CRPC. Seven miRNAs, miR-21, miR-32, miR-99a, miR-99b, miR-148a, miR-221 and miR-590-5p, were found to be differentially expressed in CRPC compared with benign prostate hyperplasia (BPH) according to microarray analyses. Significant growth advantage for LNCaP cells transfected with pre-miR-32 and pre-miR-148a was found. miR-32 was demonstrated to reduce apoptosis, whereas miR-148a enhanced proliferation. Androgen regulation of miR-32 and miR-148a was confirmed by androgen stimulation of the LNCaP cells followed by expression analyses. The AR-binding sites in proximity of these miRNAs were demonstrated with chromatin immunoprecipitation (ChIP). To identify target genes for the miRNAs, mRNA microarray analyses were performed with LNCaP cells transfected with pre-miR-32 and pre-miR-148a. Expression of BTG2 and PIK3IP1 was reduced in the cells transfected with pre-miR-32 and pre-miR-148a, respectively. Also, the protein expression was reduced according to western blot analysis. BTG2 and PIK3IP1 were confirmed to be targets by 3'UTR-luciferase assays. Finally, immunostainings showed a statistically significant (P<0.0001) reduction of BTG2 protein in CRPCs compared with untreated prostate cancer (PC). The lack of BTG2 staining was also associated (P<0.01) with a short progression-free time in patients who underwent prostatectomy. In conclusion, androgen-regulated miR-32 is overexpressed in CRPC, leading to reduced expression of BTG2. Thus, miR-32 is a potential marker for aggressive disease and is a putative drug target in PC.

Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer.

Prostate cancer (PCa) is the most frequent male malignancy and the second most common cause of cancer-related death in Western countries. Current clinical and pathological methods are limited in the prediction of postoperative outcome. It is becoming increasingly evident that small non-coding RNA (ncRNA) species are associated with the development and progression of this malignancy. To assess the diversity and abundance of small ncRNAs in PCa, we analyzed the composition of the entire small transcriptome by Illumina/Solexa deep sequencing. We further analyzed the microRNA (miRNA) expression signatures of 102 fresh-frozen patient samples during PCa progression by miRNA microarrays. Both platforms were cross-validated by quantitative reverse transcriptase-PCR. Besides the altered expression of several miRNAs, our deep sequencing analyses revealed strong differential expression of small nucleolar RNAs (snoRNAs) and transfer RNAs (tRNAs). From microarray analysis, we derived a miRNA diagnostic classifier that accurately distinguishes normal from cancer samples. Furthermore, we were able to construct a PCa prognostic predictor that independently forecasts postoperative outcome. Importantly, the majority of miRNAs included in the predictor also exhibit high sequence counts and concordant differential expression in Illumina PCa samples, supported by quantitative reverse transcriptase-PCR. Our findings provide miRNA expression signatures that may serve as an accurate tool for the diagnosis and prognosis of PCa.