Identification of Candidate Genes in Recurrence andNon-Recurrence Endometrial Carcinoma Patients by an IntegrativeAnalysis

Background: Endometrial carcinoma (EC) is one of the mos tprevalent tumors of the female reproductive sys tem. Although numerous s tudies, including analysis of gene expression profileand cellular microenvironment have been reported in this field,pathogenesis of this disease remains unclear. The molecularprofile of endometrial cancer has become an important tool indetermining patient prognosis and their optimal adjuvant treatment.This s tudy aimed to screen the candidate genes differentiallyexpressed in recurrence and non-recurrence patients bybioinformatics analysis.Materials and Methods: GEO database and GEO۲R onlinetool were applied to screen the differentially expressed genes(DEGs) of EC from the microarray datasets. Protein-protein interaction(PPI) network for the DEGs was cons tructed to furtherexplore the relationships among these genes and identify hubDEGs. Gene ontology and KEGG enrichment analyses wereperformed to inves tigate the biological role of DEGs. Besides,expression profile, and survival analysis of MFNG gene, as oneof the top hubs DEGs, were also inves tigated using Gene ExpressionProfiling Interactive Analysis۲ (GEPIA۲) to furtherexplore the roles of these hub gene in the mechanism of ECtumorigenesis.Results: A total of ۵۵۱ DEGs were screened out as the DEGswith ۳۶۹ upregulated and ۱۸۲ downregulated in EC. The geneontology analysis showed that these genes were significantlyenriched in cell communication, biological regulation, and localization,etc. The KEGG pathway analysis showed that DEGswere enriched in T-cell activation, leukocyte cell-cell adhesion,and leukocyte activation, etc. More importantly, MFNG, ZAK,SOCS۲, WNT۴, SMO, SMAD۹, USP۳۹, PRKACG, SF۳A۳,TRAF۷ were identified as the hub genes of EC. Expression validationby bioinformatics analysis also proved the expression ofMFNG was differentially expressed in EC, but overall survivalwas not altered significantly.Conclusion: MFNG involved in the pathogenesis of EC andmight be a candidate biomarker for dis tinguishing recurrenceand non-recurrence patients.

کلیدواژه ها:

Athway ، Bioinformatics Analysis ، Biomarker ، DifferentiallyExpressed Gene ، Endometrial Carcinoma