Bioinformatics analysis of cuproptosis genes in hepatocellular carcinoma
Objective:To investigate the prognostic value of copper death-related LncRNAs in hepatocellular carcinoma(HCC)and construct a risk model,as well as their mutation burden and related drug selection in HCC,so as to lay the foundation for new HCC treatment.Methods:The transcriptome data,clinical data and mutation burden of HCC patients were downloaded and integrated from the Cancer Genome Atlas(TCGA)database.Univariate Cox regression analysis was used to screen LncRNA related to HCC prognosis.Multivariate Cox analysis was then used to construct the model.The prognostic models of HCC were grouped by R software,and Kaplan-Meier survival analysis was performed.The risk curve,survival analysis,progression-free survival and principal component analysis were drawn by R language to verify the best prognostic model.ROC curve,C-index curve and nomogram were used to evaluate the prognostic factors of the model.Subsequently,differentially expressed genes were subjected to Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis.We calculated the correlation between TMB status and gene expression in pan-cancer data,analyzed the correlation of immune function and screened for sensitivity to potential drug therapy in HCC.Results:A total of 4 LncRNAs with cuproptosis genes were screened to construct a prognostic model by univariate Cox regression analysis,Lasso regression and multivariate Cox regression analysis.The survival analysis of the samples using the prognostic model found that there were significant differences in survival between the high and low risk groups.The prognostic model risk score could be independent of other clinical traits as an independent prognostic factors,and risk scores increased with stage.Differential genes were subsequently subjected to Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis.We calculated correlations between TMB status and gene expression in pan-cancer data,immune-related functional analysis,and screened out sensitivity to potential drug treatments for HCC.Conclusion:The prognostic model of primary liver cancer based on copper death gene has good predictive performance,and the copper death gene in this model provides a new therapeutic target for targeted therapy of primary liver cancer.
primary liver cancercuproptosisprognostic modelssensitivity of the drug
NETL
NSTL
万方数据
维普
