Screening Of Differentially Expressed Genes In Cervical Cancer And Analysis Of Immune Cell Infiltration

Purpose:In this study,bioinformatics methods were used to screen differentially expressed genes in cervical cancer,perform immune cell infiltration analysis and gene enrichment analysis.The aim of this study is to understand the relationship between gene expression levels and immune cell infiltration levels in cervical cancer,and to provide new potential therapeutic targets for advanced or recurrent cervical cancer immunotherapy.Methods:The cervical cancer gene expression matrix was obtained from the GEO database,the differentially expressed genes were screened,and the TCGA and GTEx databases were integrated to understand the expression of the differential genes in tumor tissue and adjacent tissue,different tumor stages,and HPV infection.The TIMER database was used to analyze the relationship between the expression of differential genes in cervical cancer and the level of immune cell infiltration,as well as the relationship between the level of immune cell infiltration and overall survival.The protein expression of differential genes and immune cell markers in cervical cancer tissue and normal cervical tissue was validated using the Human Protein Atlas(HPA)online database.Finally,gene set enrichment analysis(GSEA)was used to identify immunerelated signaling pathways in tumors.Results:1.In this study,three cervical cancer(CESC) gene expression microarrays(GSE6791,GSE63678 and GSE55940) were obtained from the GEO database.The IDO1 gene was identified through differentially expressed gene screening.Gene expression profiling and comprehensive bioinformatics analysis of TCGA and GTEx databases showed that the expression of IDO1 gene was up-regulated in cervical cancer tissues,and the expression was significantly different in different stages.In addition,expression was also up-regulated in HPV16-positive samples.2.TIMER analysis showed that the expression of IDO1 in CESC was positively correlated with CD8+ T cells,CD4+ T cells,neutrophils,and dendritic cells.Using CIBERSORT to count the relative proportions of immune cell subsets in CESC samples with different IDO1 expression and different N stages in the TCGA dataset The results show that CD8+ T cells make up the majority of the 22 tumor-infiltrating immune cell subsets,CD8+ T cells The level of infiltration was significantly associated with IDO1 expression and different N stages of CESC.The results of survival analysis showed that patients with high CD8+ T cell infiltration level had better prognosis.The expression of IDO1 was significantly positively correlated with the expression of immune checkpoint-related genes,and IDO1 itself was also an immune checkpoint gene.3.The results of using HPA online database showed that IDO1 was highly expressed in cervical cancer tissues and low in normal tissues.Gene enrichment analysis GSEA results showed that IDO1 was mainly associated with tumor immunerelated signaling pathways.Conclusions:1.IDO1 is highly expressed in cervical cancer tissues.2.The expression of IDO1 in CESC is positively correlated with CD8+ T cells,and tumor-infiltrating CD8+ T cells driven by the immune checkpoint-related gene IDO1 are associated with cervical cancer prognosis.3.This study provides ideas for the application of IDO1 inhibitors in the treatment of CESC.