Department of Pathogenobiology, College of Basic Medical Sciences, Jilin University, Changchun City, Jilin Province, China.
Department of Pathogenobiology, College of Basic Medical Sciences, Jilin University, Changchun City, Jilin Province, China.
Curr Probl Cancer. 2019 Apr;43(2):167-176. doi: 10.1016/j.currproblcancer.2018.02.002. Epub 2018 Feb 21.
Uterine corpus endometrial carcinoma (UCEC) is one of the most common female gynecological malignant tumors that threaten women health seriously. MicroRNAs (miRNAs) has been proved to play critical roles in tumor pathogenesis and malignant progression. In this study, we aimed to explore a novel signature of microRNA expression for predicting the overall survival (OS) of patients with UCEC. The genome-wide miRNA expression profiles and relevant clinical characteristics of 348 patients with UCEC were downloaded from the Cancer Genome Atlas (TCGA) data portal and analyzed comprehensively. A total of 144 miRNAs were confirmed to be expressed differentially in tumor tissues. Among them, 6 miRNAs (hsa-mir-15a.MIMAT0000068, hsa-mir-142.MIMAT0000433, hsa-mir-142.MIMAT0000434, hsa-mir-3170.MIMAT0015045, hsa-mir-1976.MIMAT0009451, and hsa-mir-146a.MIMAT0000449) were validated to be significantly correlated with the OS of patients with UCEC. The risk indictor established by the 6-microRNA signature was proved be an independent prognostic factor (Hazard ratio = 0.391; 95% CI: 0.195-0.783; P = 0.008). In conclusion, we identified miRNAs that were correlated with the occurrence and progression of UCEC and established a 6-microRNA expression signature as a predictor for the OS of patients with UCEC.
子宫内膜癌（UCEC）是严重威胁妇女健康的最常见妇科恶性肿瘤之一。MicroRNAs（miRNAs）已被证明在肿瘤发病机制和恶性进展中发挥关键作用。在这项研究中，我们旨在探索一种新的 miRNA 表达谱，以预测 UCEC 患者的总生存率（OS）。从癌症基因组图谱（TCGA）数据门户下载了 348 例 UCEC 患者的全基因组 miRNA 表达谱和相关临床特征，并进行了综合分析。共有 144 个 miRNA 在肿瘤组织中被证实存在差异表达。其中，6 个 miRNA（hsa-mir-15a.MIMAT0000068、hsa-mir-142.MIMAT0000433、hsa-mir-142.MIMAT0000434、hsa-mir-3170.MIMAT0015045、hsa-mir-1976.MIMAT0009451 和 hsa-mir-146a.MIMAT0000449）被验证与 UCEC 患者的 OS 显著相关。由 6 个 miRNA 组成的风险指标被证明是独立的预后因素（危险比=0.391；95%CI：0.195-0.783；P=0.008）。总之，我们确定了与 UCEC 的发生和进展相关的 miRNAs，并建立了一个 6 个 miRNA 表达谱作为 UCEC 患者 OS 的预测指标。
