Hub Genes of Recurrent Laryngeal Cancer Identified by Weighted Gene Co-Expression Network Analysis

Abstract

Objective in order to discover correlated gene modules and hub genes for recurrent laryngeal squamous cell carcinoma through weighted gene co-expression network analysis method. The microarray dataset of recurrent laryngeal cancer, namely GSE27020, were obtained from the gene expression Omnibus database. Weighted gene co-expression network analysis was introduced to establish a gene co-expression network, mining key clinical trait correlated hub genes. Gene ontology enrichment analyses were performed for the genes in modules related to recurrent laryngeal squamous cell carcinoma. Then, we build up a proteinprotein interaction network with the genes in interest gene module and identified hub genes through analyze such protein-protein interaction network. The hub genes were mined using cytohubba plus-in. Finally, we analyzed these hub genes overall survival using gene expression profiling interactive analysis database. Forty four gene co-expression gene modules were achieved via weighted gene co-expression network analysis analysis. We found that the orangered4 module was the most correlated module with recurrence in laryngeal squamous cell carcinoma patients. Genes in the orangered4 module were related to organelle organization, response to chemical, regulation of catalytic activity and regulation of cell differentiation. Two genes were discovered as hub genes which were related to poor prognosis, namely annexin A2 and S100 calcium binding protein A10. Here, we found several hub genes that played important roles in recurrent laryngeal squamous cell carcinoma, which may improve our understanding of the mechanisms underlying recurrence laryngeal squamous cell carcinoma.