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Updated: Sep 2, 2025
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
Diagnostic Value of Prostate-Specific Antigen Combined with Plasma miRNA-149 Expression in Patients with Prostate
Hao Wang1, Ling Yang1, Ying Mi1
1Department of Urology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Purpose:
The aim of this study is to explore the diagnostic value of prostate-specific antigen (PSA) combined with serum miRNA-149 expression in prostate cancer (PCa) by conducting experiments and bioinformatics analysis. Patients and Methods. 50 PCa patients were enrolled on the experimental group from January 2020 to December 2021. 56 patients with benign prostatic hyperplasia (BPH) were selected as the control group at the same time. Real-time fluorescent quantitative PCR was applied to investigate the miRNA-149 expression. PSA was detected by using a chemiluminescence meter using Abbott i4000. Applying bioinformatics analysis, we explored the expression of hsa-miR-149 in PCa in The Cancer Genome Atlas (TCGA) database. Kaplan-Meier analyses were used to evaluate the prognostic value, and the ROC curve was applied.
Results:
The expression level of miRNA-149 in the PCa group was significantly higher than that in the BPH group (P < 0.05). The PSA level in the PCa group was also significantly higher than that in the BPH group (P < 0.05). TCGA data analysis revealed that PCa tissues had significantly increased hsa-miR-149 expression. The results of survival analysis showed that patients with high expression of hsa-miR-149 had better prognosis. Additionally, the pathological N stage of PCa correlates with the hsa-miR-149 expression level (P = 0.002). According to ROC curve analysis, the region under the curve was 0.653, 95% CI: 0.576-0.730.
Conclusion:
High expression of serum miRNA-149 is associated with PCa patients. Although combined PSA did not improve the diagnostic efficacy, miRNA-149 has high specificity in the diagnosis of PCa. miRNA-149 might be a novel marker for early diagnosis and prognosis assessment for PCa.
