Construction Of Cuproptosis-related LncRNA Prognostic Model In Hepatocellular Carcinoma Bioinformatics-based

Objectivecuproptosis is a newly discovered form of cell death.Long non-coding RNA(lncRNA)has a variety of functions such as regulating gene expression.The relationship between prognosis and cuproptosis-related lncRNAs in patients with hepatocellular carcinoma(HCC)has rarely been reported,the purpose of this study was to obtain lncRNA and corresponding risk factors related to HCC cuproptosis,construct a prognostic model of HCC cuproptosis-related lncRNA and verify its accuracy,and search for potential HCC cuproptosis-related lncRNA therapeutics to provide scientific basis for the treatment of HCC.MethodsIn this study,the transcriptome data,clinical data and tumor mutation data of HCC were downloaded from the TCGA database,and then the downloaded data was sorted out by perl script,and then the lncRNA genes associated with HCC cuproptosis were screened for co-expression analysis in R language,and then lncRNA genes related to HCC cuproptosis were screened,and finally the prognostic analysis model of HCC cuproptosis-related lncRNA was constructed.We then used single-factor independent prognostic analysis,multivariate independent prognostic analysis,ROC curve,etc.to observe HCC cuproptosis-related lncRNA prognostic analysis models for prognostic accuracy prediction,and analyzed the differential genes of cuproptosis-related genes through GO enrichment analysis and KEGG enrichment,and explored their possible functions.Cytoscape and R language were used to map the interaction network and correlation heat map of HCC cuproptosis-related genes and prognosis-related lncRNAs.Differential analysis and survival analysis of mutational burden were performed on tumor mutation data,and violin plots,waterfall plots,and survival curves were plotted.Finally,a boxplot of the analysis of immune-related functional differences in transcription data,a violin plot of the immune score of patients in the high and low risk groups,a boxplot of the immune checkpoints of the transcription data,and screening potential therapeutic drugs were plotted.ResultsThrough a series of bioinformatics analysis,a total of 424 patients were obtained from the database,including 50 normal patients and 374 tumor patients,40 HCC cuproptosis-related lncRNAs were obtained by univariate cox analysis,and 11 were obtained by multivariate cox analysis(ITGA6-AS1,LINC01615,AL365361.1,AC079313.2,AL096865.1,AC023825.2).,LINC02100,AL035071.1,MIR155 HG,AC069360.1,GHET1)HCC cuproptosis-related lncRNA and corresponding risk factors were constructed.and screened out 8 potential HCC therapeutic drugs Zibotentan,Tivozanib,tipifarnib,sunitinib,5-fluorouracil(5-Fluorouracil),crizotinib,doxorubicin,and foretinib.ConclusionsIn this study,a positive correlation between HCC prognosis and cuproptosis-related lncRNAs was established,and a prognostic model of HCC cuproptosis-related lncRNAs was constructed.Due to the significant difference in immune escape between patients in the high and low risk groups of HCC,eight potential drugs were screened out through the analysis of transcriptome data.These drugs of cuproptosis-related lncRNAs are expected to provide a scientific basis for further research into the treatment of HCC.