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.