Exploring CXCL۸, COL۵A۲, and EPHX۲as Potential Biomarkers for Poor Prognosis in CervicalSquamous Epithelial Cancer

Background: The fatality rate from Cervical Squamous Epithelial Cancer (CSEC) has increased significantly in recentyears. According to GLOBOCAN ۲۰۲۰, it is the fourth mostfrequent cancer in women worldwide. This study aimed to lookfor potential biomarkers for the prognosis of CSEC.Materials and Methods: The GSE۶۳۵۱۴ CEL files were obtainedfrom NCBI-GEO and subjected to normalization throughthe R programming language using robust multi-array average(RMA). Differentially expressed genes (DEGs) were identifiedfrom two distinct groups of normal and cancer using thefollowing criteria: |۲| > ۱.۵ and adj P-value < ۰.۰۵. Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were served by the Enrichr. UtilizingSTRING, the protein-protein interaction (PPI) network wasconstructed and analyzed by Cytoscape software. MCODE pluginwas used to identify the network clusters, and the degreealgorithm was computed by the CentiScaPe plugin. The highestdegree gene in each module was designated as a hub gene. Additionally,the GEPIA۲ database was utilized to validate expressionlevels and conduct survival analysis.Results: A total of ۳۷۹ DEGs were identified, consisting of ۱۶۱up-regulated genes and ۲۱۸ down-regulated genes. KEGG analysisrevealed that the p۵۳ signaling pathway was significantlyenriched. Additionally, GO analysis identified that DEGs weremainly involved in the biological process of skin development(GO:۰۰۴۳۵۸۸), molecular function of CXCR۳ chemokine receptorbinding (GO:۰۰۴۸۲۴۸), and cellular component of cornifiedenvelope (GO:۰۰۰۱۵۳۳). The study also identified sevenhub genes from seven clusters, of which only three were significantlyassociated with poor prognosis: up-regulated collagentype V alpha ۲ chain (COL۵A۲) and C-X-C motif chemokineligand ۸ (CXCL۸) and down-regulated epoxide hydrolase ۲(EPHX۲).Conclusion: The present study identified potential biomarkersfor CSEC prognosis using bioinformatic analysis, which mayhelp to develop new diagnostic and therapeutic strategies forCSEC patients.

کلیدواژه ها:

Cervical cancer ، Targeted therapy ، Bioinformatics ، Gene expression analysis ، Systems biology