Comprehensive analysis of multisite post-transcriptional methylation modification patterns and immune characteristics in kidney renal clear cell carcinoma
Objective To assess the prognostic and therapeutic effects on patients by systematically analyzing the relationship between multisite methylation modification patterns and immune characteristics in kidney renal clear cell carcinoma(KIRC)and explore the potential mechanisms involved in KIRC progression.Methods The gene expression data of KIRC were downloaded from the TCGA database,and 84 genes associated with multi-site methylation modifications such as m6A,m1A,m5C were collected.Methylation-related genes that were significantly up-or down-regulated in tumor tissues were screened by differential expression analysis.Based on these differentially expressed genes,patients were classified into three subgroups(C1,C2,and C3)using a consensus clustering method,and differences in clinical features,immune infiltration status and immune checkpoint expression levels,and TIDE scores were analyzed among the subgroups.Results There were significant differences in immune infiltration and survival prognosis among different subgroups of patients(P＜0.05).A prognostic risk model based on the differentially methylated genes was constructed by univariate and multivariate regression analyses and LASSO regression,and patients were divided into high-risk and low-risk groups.The survival rate of patients in the high-risk group was significantly lower than that in the low-risk group(P＜0.05).In addition,the evaluation of the sensitivity of patients in different subgroups and different risk groups to commonly used chemotherapeutic drugs revealed a significant correlation between certain methylation modifications and drug sensitivity(P＜0.05).Conclusion This study reveals a close association between multi-site methylation modification patterns in KIRC and the immune microenvironment and clinical prognosis and the constructed prognostic model provides a new theoretical basis for predicting patient survival and individualized treatment strategies in KIRC.
kidney renal clear cell carcinomamethylationtumor immune microenvironmentprognostic model
万方数据
维普
