Investigating the expression of genes andpathways related to cervical cancer from the samples ofepithelial cells of the cervical tissue using bioinformaticsanalysis

Background: Cervical cancer is the fourth most common diseasein women, with an estimated ۲۷۰,۰۰۰ fatalities annually.Here, we used bioinformatics analysis to identify potential keygenes and pathways for the diagnosis of cervical cancer.Materials and Methods: The microarray dataset GSE۶۳۵۱۴was downloaded from the Gene Expression Omnibus (GEO)database. ۵۲ total tissue samples—paired normal and tumortissues—collected from ۱۲۸ female cervical tissue specimenswere subjected to analysis. Then, differential expression genes(DEGs) were normalized and examined using the transcriptomeanalysis console (TAC). Thereafter differential expressions(DEGs) were found FDR adjusted P-value of less than ۰.۰۰۱and -۲<| [log FC] |<۲. The visualization of the protein-proteininteraction (PPI) network was done by using String, Cytoscape,and Gephi. Eventually, the DEGs were investigated usingKEGG pathways and GO phrases using the "Cluster Profiler"package in R.Results: The findings revealed ۹۸۳ up-regulated DEGs and ۷۹۶down-regulated DEGs out of the ۱۷۷۹ DEGs. Five hub geneswere detected, including CDK۱ (Cyclin Dependent Kinase ۱),CCNB۱ (Cyclin B۱), TOP۲A (DNA Topoisomerase II Alpha),BRCA۱ (Breast Cancer gene ۱), and KlF۱۱ (KLF TranscriptionFactor ۱۱). The KEGG pathway analysis showed that the hubgenes were enriched in the cell cycle, DNA replication, cellularsenescence, P۵۳ signaling pathway, and pathways in cancer.Within the biological process category, the following GO terms(most significant) were highly increased in DEGs in cervicalcarcinoma: "DNA metabolic process (GO:۰۰۰۶۲۵۹)," "DNAreplication (GO:۰۰۰۶۲۶۰)," and "DNA-dependent DNA replication(GO:۰۰۷۱۲۹۵).Conclusion: This research discovered important biologicalprocesses related to cervical cancer and identified hub genesand pathways that could be targeted for cervical cancer treatment. These findings have significant implications for improvingpatient diagnosis and care.

کلیدواژه ها:

cervical cancer ، bioinformatics ، pathway ، differentiallyexpressed gene ، hub genes