Combinations of elevated tissue miRNA‑17‑92 cluster expression and serum prostate‑specific antigen as potential diagnostic biomarkers for prostate cancer
- Sujuan Feng
- Xiaosong Qian
- Han Li
- Xiaodong Zhang
Published online on: September 22, 2017
The aim of the present study was to investigate the effectiveness of the miR‑17‑92 cluster as a disease progression marker in prostate cancer (PCa). Reverse transcription‑quantitative polymerase chain reaction analysis was used to detect the microRNA (miR)‑17‑92 cluster expression levels in tissues from patients with PCa or benign prostatic hyperplasia (BPH), in addition to in PCa and BPH cell lines. Spearman correlation was used for comparison and estimation of correlations between miRNA expression levels and clinicopathological characteristics such as the Gleason score and prostate‑specific antigen (PSA). Receiver operating curve (ROC) analysis was performed for evaluation of specificity and sensitivity of miR‑17‑92 cluster expression levels for discriminating patients with PCa from patients with BPH. Kaplan‑Meier analysis was plotted to investigate the predictive potential of miR‑17‑92 cluster for PCa biochemical recurrence. Expression of the majority of miRNAs in the miR‑17‑92 cluster was identified to be significantly increased in PCa tissues and cell lines. Bivariate correlation analysis indicated that the high expression of unregulated miRNAs was positively correlated with Gleason grade, but had no significant association with PSA. ROC curves demonstrated that high expression of miR‑17‑92 cluster predicted a higher diagnostic accuracy compared with PSA. Improved discriminating quotients were observed when combinations of unregulated miRNAs with PSA were used. Survival analysis confirmed a high combined miRNA score of miR‑17‑92 cluster was associated with shorter biochemical recurrence interval. miR‑17‑92 cluster could be a potential diagnostic and prognostic biomarker for PCa, and the combination of the miR‑17‑92 cluster and serum PSA may enhance the accuracy for diagnosis of PCa.