Pathway analysis of differentially expressed genes in human esophageal squamous cell carcinoma

Abstract

Objective: Esophageal Squamous Cell Carcinoma (ESCC) is one of the most common human cancers with a particularly high incidence in certain regions of China. Differentially expressed genes (DEG) between the esophageal squamous carcinoma tissues and matched normal esophageal mucosal epithelial tissues can be detected by employing the gene microarray technology. This can aid the analysis of the underlying disease mechanism and can help to identify potentially critical genes as well as related molecular signalling pathways.

Materials and methods: The potentially critical genes and related signal pathways are examined by bioinformatics analysis including Gene Ontology (GO) analysis, pathway analysis and signal transduction networks. Here, we performed microarray analysis with 8 pairs of ESCC and normal esophageal mucosal epithelial tissues.

Results: Compared to the control group, 347 and 203 genes were found to be up-regulated and down-regulated in the experimental group, respectively. Based on pathway analysis, 52 and 51 signal transduction pathways were involved in the up-regulated and the down-regulated genes, respectively. SLC27A6, RAB11A, ABCA8, JAM2, HNMT, GSTM1, and CDKN3, which play critical roles in regulating the expression of ESCC, were identified among the key genes involved in the signal transduction networks.

Conclusions: Investigation of the mechanism underlying ESCC can provide a direction for the clinical prevention and treatment of ESCC.