The Difference Of Expression Of Ferroptosis-related Genes Renal Clear Cell Carcinoma And Construction Of A Prognostic Model

Background and purposeRenal cancer is one of the most common malignant cancer of the urinary system,and clear cell carcinoma of kidney is the most common type of renal cancer.Recently the treatment of renal clear cell carcinoma has made some progress the main treatment is still surgery.Ferroptosis is a form of cell death that is different from what researchers previously recognized.The discovery of ferroptosis has brought new possibilities for the treatment of various cancers.However,the relationship between ferroptosis and renal clear cell carcinoma has not been ascertained.Therefore,the main purpose of this study is to explore the differences in the expression of ferroptosis-related genes in renal clear cell carcinoma and construct a prognostic model of iron death-related genes.It hopes to provide a new method for the diagnosis,treatment and prognosis evaluation of renal clear cell carcinoma.MethodsBased on the patient gene expression data collected from The Cancer Genome Atlas(TCGA)database,bioinformatics methods are used to screen differentially expressed iron death-related genes,combined with clinical data and gene expression data for single-factor Cox analysis,screening for prognostic-related genes,venn packs is used to find the intersection genes,the online tool String and the Igraph package in R software perform protein interaction and correlation analysis of candidate genes.Using the R program package Caret,the experimental subjects were randomly divided into two groups,namely the train group and the test group.The train group was subjected to lasso Cox regression analysis to screen out the ferroptosis-related genes most suitable for constructing the model,and to construct the model.The test group data is put into the derived risk model for verification.According to the risk score,they are divided into high and low risk two groups.The R package surminer is used to draw the survival curve,and the receiver operating characteristic curve(Receiver operating characteristic,ROC)is used for verification.The experimental data is analyzed by PCA and t-SNE,and the R package is used for survival.To draw a state diagram,use R software to draw a heat map to view the expression level of the target gene in the high and low risk groups,perform clinical correlation analysis on the high and low risk groups,perform single-factor and multi-factor Cox analysis on related indicators,and use differentially expressed genes The R software package performs functional enrichment analysis.ResultsThe differences in the expression of ferroptosis-related genes in renal clear cell carcinoma were investigated,and a prognostic model based on seven iron death-related genes was successfully constructed,and the model was verified by ROC(Receiver operating characteristic).High reliability.Further clinical correlation analysis found that the risk score was positively correlated with the staging grading and T staging.Single factor and multivariate Cox analysis showed that the risk score can be used as an independent prognostic evaluation factor.Finally,gene ontology(GO),kyoto encyclopedia of genes and genomes(KEGG),immune-related pathways and immune cell enrichment analysis were performed on differentially expressed genes to enrich the immune-related pathways and Pathway related to iron metabolism.ConclusionsThis study successfully constructed a prognostic model based on seven ferroptosis-related genes.Validation shows that the model has high stability and can be used as a reliable basis for evaluating prognosis.In addition,targeted iron death may be a new direction for the treatment of renal clear cell carcinoma.