Identification of hub genes associated with esophageal cancer progression using bioinformatics analysis.

Identification of hub genes associated with esophageal cancer progression using bioinformatics analysis. Oncol Lett. 2020 Nov;20(5):214 Authors: Li J, Xie Y, Wang X, Jiang C, Yuan X, Zhang A, Yang L, Liu C, Zou H, Li F, Hu J Abstract The underlying causes of esophageal cancer (EC) are unknown. To explore the molecular mechanisms that lead to EC, gene expression profiles of large cohorts of patients with EC were obtained from The Cancer Genome Atlas and the Gene Expression Omnibus (GEO) databases (GSE5364, GSE20347 and GSE23400). The present study identified 83 upregulated and 22 downregulated genes between EC and normal tissue using R statistical software and the GEO2R web tool. The Database for Annotation, Visualization and Integrated Discovery was used to identify the associated pathways, and for functional annotation of the differentially expressed genes (DEGs). Protein-protein interactions of these DEGs were analyzed based on the Search Tool for the Retrieval of Interacting Genes database, and hub genes were visualized using Cytoscape software. An online Kaplan-Meier plotter survival analysis tool was utilized to evaluate the prognostic value of hub gene expression in patients with EC. Further analysis of an additional dataset from GEO (GSE21293) revealed that these genes were associated with infiltration and metastasis in EC. In addition, the Gene Expression Profiling Interactive Analysis tool was used to evaluate expression lev...
Source: Oncology Letters - Category: Cancer & Oncology Tags: Oncol Lett Source Type: research