Seeking for endometrial carcinoma-related genes and their bioinformatics analysis

摘要：Objective:Screening and excavating genes and biological information related to endometrial carcinoma (EC),to provide novel means for clinical diagnosis and treatment.Methods:The gene chip data of EC was obtained from the Gene Expression Omnibus (GEO) database,we integrated gene discrepantly expressive gene analysis,enrichment of genic function and pathway analysis,protein-protein interaction (PPI) network and literature mining to predict genes and pathways of EC.Results:Functional enrichment analysis identified 976 differential expression genes were participated in cell cycle regulation,proliferation,biosynthesis,protein phosphorylation and fission biological process,etc.We found eight significantly up-regulated pathways in the microarray datasets,including the MAPK signaling pathway and mTOR pathway,and six down-regulated pathways,including the P53 signaling pathway and cell cycle.Gene protein related interaction network analysis was further performed,and we found twelve distinct genes,including the PCNA and CCND1,these genes were located in key position of EC related network,which may be related to the pathogenesis and progression of EC.Furthermore,there was a high correlation between PCNA and CCND1 with EC by consulting the related literature and data,however,the functional mechanism was uncleared.Conclusion:The pathogenesis and progression of EC may involve in several different pathways and genes,the genes PCNA,CCND1 and MAPK signaling pathway may be valuable.