Characterization of a five-microRNA signature as a prognostic biomarker for esophageal squamous cell carcinoma.

ABSTRACT: This study aims to identify a miRNAs signature for predicting overall survival (OS) in esophageal squamous cell carcinoma (ESCC) patients. MiRNA expression profiles and corresponding clinical information of 119 ESCC patients were obtained from NCBI GEO and used as the training set. Differentially expressed miRNAs (DEmiRNAs) were screened between early-stage and late-stage samples. Cox regression analysis, recursive feature elimination (RFE)-support vector machine (SVM) algorithm, and LASSO Cox regression model were used to identify prognostic miRNAs and consequently build a prognostic scoring model. Moreover, promising target genes of these prognostic miRNAs were predicted followed by construction of miRNA-target gene networks. Functional relevance of predicted target genes of these progno

SUBMITTER: Yu J 

PROVIDER: S-EPMC6934627 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature