Predictive value of microRNA-133a-3p for early urinary incontinence after radical prostatectomy for prostate cancer and its correlation with rehabilitation effects.
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引用次数: 0
Abstract
Aim: The present study was conducted with the objective ascertaining the clinical implication of microRNA-133a-3p (miR-133a-3p) for urinary incontinence (UI) and rehabilitation effects in prostate cancer after radical prostatectomy.
Methods: The measurements of miR-133a-3p in urethral tissue samples from prostate cancer patients after radical prostatectomy were carried out via quantitative real-time polymerase chain reaction (qRT-PCR) detection. Receiver operation characteristic (ROC) curve and logistic regression analysis were employed for evaluating the predictive significance of miR-133a-3p for the early UI of prostate cancer patients with radical prostatectomy. Bioinformatics tools were employed for mining the miR-133a-3p possible genes.
Results: An obvious reduction of miR-133a-3p was detected in patients with UI compared with those with urinary continence (UC) (P < 0.001), demonstrating a high diagnostic capacity for patients with UI. Moreover, miR-133a-3p could be an independent predictive index for the early UI in patients with prostate cancer after radical prostatectomy (P < 0.001). Additionally, urine miR-133a-3p was notably increased in the UI patients after rehabilitation (P < 0.001). MiR-133a-3p largely concentered on the muscle-related diseases pathways using bioinformatics tools.
Conclusion: MiR-133a-3p was a promising indicator for predicting early UI in patients with prostate cancer after radical prostatectomy.
HereditasBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍:
For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.