Che Ping, Jiang Shihao, Zhang Weiyang, Zhu Huixuan, Hu Daorong, Wang Delin
Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of Pediatric Surgery, Maternity and Child Health Hospital of Chongqing Hechuan, Chongqing, China.
Front Surg. 2022 Jul 25;9:872953. doi: 10.3389/fsurg.2022.872953. eCollection 2022.
Prostate cancer (PCa) is the second most common malignant tumor in men worldwide. MiRNAs have been reported to play significant roles in prognosis prediction for patients with malignant tumors.
The survival-related miRNAs (sDMIRs) were identified by Cox regression analysis. A risk score model (RSM) was established based on three sDMIRs. The expression levels of sDMIRs in cell lines and clinical samples were detected quantitative polymerase chain reaction. The correlations between sDMIRs and clinicopathological characteristics of PCa patients were evaluated using the chi-square test and Fisher's exact probability method.
Four sDMIRs were remarkably related to the prognosis of PCa patients based on univariate Cox analysis, of which miR-10a-5p, miR-20a-5p, and miR-508-3p were used to establish the RSM. The OS in the low-risk group was better than that in the high-risk group. In the verification of various prostate cell lines and clinical samples from 162 PCa patients, the prominently higher expression of miR-10a-5p and miR-20a-5p and lower expression of miR-508-3p were detected in PCa cell lines and tumor tissues, especially the more advanced T-stage. Besides, the higher expression of miR-20a-5p and miR-10a-5p was significantly correlated to the higher level of PSA, Gleason score, more advanced T-stage, and distant metastasis status.
We identify and validate the clinical significance of three sDMIRs and establish a verified RSM to evaluate the prognosis for PCa patients. The findings not only provide a reliable tool for clinical decision-makers to evaluate patients' prognosis but also offer a novel perspective into the field of biomarker identification.
前列腺癌（PCa）是全球男性中第二常见的恶性肿瘤。据报道，微小RNA（miRNA）在恶性肿瘤患者的预后预测中发挥着重要作用。
通过Cox回归分析鉴定与生存相关的miRNA（sDMIR）。基于三个sDMIR建立风险评分模型（RSM）。采用定量聚合酶链反应检测细胞系和临床样本中sDMIR的表达水平。使用卡方检验和Fisher精确概率法评估sDMIR与PCa患者临床病理特征之间的相关性。
基于单变量Cox分析，四个sDMIR与PCa患者的预后显著相关，其中miR-10a-5p、miR-20a-5p和miR-508-3p用于建立RSM。低风险组的总生存期优于高风险组。在对来自162例PCa患者的各种前列腺细胞系和临床样本进行验证时，在PCa细胞系和肿瘤组织中检测到miR-10a-5p和miR-20a-5p表达明显升高，而miR-508-3p表达降低，尤其是在更晚期的T分期中。此外，miR-20a-5p和miR-10a-5p的高表达与较高的前列腺特异性抗原（PSA）水平、Gleason评分、更晚期的T分期和远处转移状态显著相关。
我们鉴定并验证了三个sDMIR的临床意义，并建立了一个经过验证的RSM来评估PCa患者的预后。这些发现不仅为临床决策者评估患者预后提供了可靠的工具，也为生物标志物识别领域提供了新的视角。
