Identification of key gene modules and pathways of human glioma through coexpression network

In this study, we extracted data sets from GEO (Gene Expression Omnibus) data set by using “glioma” as the keyword. Then, a coexpression module was constructed with the help of WGCNA (Weighted Gene Coexpression Network Analysis) software. Besides, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on the genes in these modules. As a result, the critical modules and target genes were identified. Eight coexpression modules were constructed using the 4,000 genes with a high expression value of the total 141 glioma samples. The result of the analysis of the interaction among these modules showed that there was a high scale indepe ndence degree among them. The GO and KEGG enrichment analyses showed that there was a significant difference in the enriched terms and degree among these eight modules, and module 5 was identified as the most important module. Besides, the pathways it was enriched in, hsa04510: Focal adhesion and hs a04610: Complement and coagulation cascades, were determined as the most important pathways. In summary, module 5 and the pathways it was enriched in, hsa04510: Focal adhesion and has 04610: Complement and coagulation cascades, have the potential to serve as biomarkers for glioma patients. Glioma causes great harm to people worldwide. Systemic coexpression analysis of this disease could be beneficial for the identification and development of new prognostic and predictive markers in the clinical managem...
Source: Journal of Cellular Physiology - Category: Cytology Authors: Tags: ORIGINAL RESEARCH ARTICLE Source Type: research