Bioinformatics Analysis Of Markers Based On M~6A Related To Prognosis Combined With Immune Invasion Of Renal Clear Cell Carcinoma

Objective The incidence of renal cell carcinoma(RCC)is approximately 3%of all adult cancer cases.Of these,the kidney clear cell carcinoma(KIRC)is the most common type,accounting for about 70-75 of RCC.KIRC usually has no obvious symptoms,so it is difficult to be detected in time clinically.Due to the lack of specific clinical manifestations,30 of KIRC patients were in advanced stage at the time of diagnosis.KIRC still has no effective treatment at this stage.In general,renal clear cell carcinoma shows a trend of severe condition,difficult treatment and poor prognosis.Therefore,there is an urgent need to search for new and effective prognostic biomarkers and select appropriate treatment targets and drugs to predict patient prognosis.Methods The structural sequence transcriptome data,relevant clinical information,mutation data and m~6A gene map of KIRC patients were obtained from genomics TCGA database.Pearson correlation analysis was used to explore m~6A related gene lncRNAs,and then univariate Cox regression analysis was performed to screen the prognostic role of KIRC patients.Lasso Cox regression was performed to establish the lncRNAs risk model associated with m~6A.Kaplan Meier survival analysis was used to evaluate the difference of OS between high-risk group and low-risk group.Univariate and multivariate Cox regression analyses were performed to determine independent prognostic factors.The area under the ROC curve(AUC)was used to evaluate the prognostic prediction accuracy of gene characteristics.Analyze whether there are differences in immune cells between high-risk and low-risk subgroups.We performed go enrichment analysis,KEGG enrichment analysis and GSEA enrichment analysis to obtain gene ontology(go)information,annotated potential pathways,and revealed signal pathways and biological processes rich in differentially expressed genes(DEG)between high-risk and low-risk subgroups.Results Eight lncRNAs were identified as independent prognostic factors,including LINC02154 and AC016773.2,Z98200.2,AL161782.1,EMX2OS,AC021483.2,CD27-AS1,AC006213.3.Compared with the low-risk group,the OS of patients in the high-risk group was significantly worse.CD4 memory resting,Monocytes,Macrophages M1,Dendritic cells activated,Mast cells resting,had higher infiltrations in the low-risk group.Enrichment analysis indicated that malignancy-associated biological processes,pathways and hallmarks were more common in the high-risk subgroup.Conclusions Collectively,the study elucidated the important role of m~6A-related lncRNAs in the prognosis of KIRC patients and in the Renal clear cell carcinoma immune microenvironment.The results suggest that the components of the m~6A-related prognostic lncRNAs signature might serve as a crucial mediator of the immune microenvironment in Kidney renal clear cell carcinoma,representing promising therapeutic targets for improving immunotherapeutic efficacy.