Comprehensive Analysis Of Prognosis And Immune Infiltration With Glioma Based On Inflammatory Response-related Genes

Objective:Chronic inflammatory response is an important factor in the occurrence and development of malignant tumors.However,there are few studies on inflammatory response related genes in gliomas.In this paper,we investigated its relationship with the tumor stem cells,drug sensitivity and immune infiltration in glioma patients by constructing an inflammatory response-related gene model.In addition,we explored the role of the7-gene signature in the prognosis of glioma patients.Methods:In this study,we downloaded m RNA expression,inflammatory response related gens and clinical data from glioma patients from public databases(TCGA,CGGA,and GSEA databases).Differential prognostic inflammatory response differential genes in the TCGA database were obtained by differential analysis.The least absolute shrinkage and selection operator Cox analysis(Lasso Cox)were used to cross-validate and screen out the inflammatory response genes with the smallest error in the TCGA and CGGA groups.Kaplan-Meier analysis was used to compare overall survival(OS)in the high-risk and low-risk groups.Independent predictors of OS were determined using univariate and multifactorial Cox analyzes.Gene set enrichment analysis was used to calculate the proportion of immune cell infiltration and the activity of immune-related signaling pathways.Gene set enrichment analysis of GO terms and KEGG pathways was performed.Results:A model of genes related to the inflammatory response was developed using Lasso Cox analysis.OS was significantly lower in patients with high risk factors than in the low risk factor group.Subjective work curves confirmed the predictive power of inflammatory genes.Risk scores were found to be independent predictors of OS in a multifactorial Cox analysis.The GO terms enrichment analysis showed that there was a significant difference in immune status between the high-and low-risk factor populations,with the high-risk factor population having a richer negative regulation immune response.Risk scores correlated with tumor grade,tumor stage,and type of immune infiltration.The expression levels of prognostic genes correlated significantly with the sensitivity of cancer cells to antitumor drugs.Conclusion:1.There is differential expression of gene signature in tumor tissues and normal tissues;Gene signature are independently related to overall survival and can be used as independent predictors of overall survival;2.Gene signature are significantly correlated with cancer stem cells,which may increase tumor invasion and migration with the increase of risk score;3.there is a significant correlation between inflammatory response related genes and drug sensitivity,which can be used to predict the drug sensitivity of the body;4.Inflammatory response related genes may be targets for the treatment of gliomas.