Construction and evaluation of a prognostic risk model for hepatocellular carcinoma based on disul-fidptosis-related long non-coding RNA
Objective To investigate the prognostic value of disulfidptosis-related long non-coding RNA(DRlncRNA)in hepatocellular carcinoma(HCC)and to establish a prognostic risk model for DRlncRNA in HCC.Methods RNA sequencing data and clinical data of 377 HCC patients(including 374 HCC tissues and 50 para-cancerous tissues)were downloaded from the TCGA database,and"R"software was used for co-expression analysis to identify DRlncRNA,and differences in cancer tissues and para-can-cerous tissues were analyzed.After preprocessing clinical data,343 qualified samples were obtained,and randomly divided into a training set(train)of 172 cases and a test set(test)of 171 cases.Univariate Cox,least absolute shrinkage and selection operator(LASSO),and multivariate Cox analyses were employed to determine the prognostic risk model in the training set.Risk scores were calculated,and patients were clas-sified into high and low-risk groups based on the median risk score.Survival analysis was performed in both groups and receiver operating characteristic(ROC)curves were plotted to evaluate efficacy.The test set and the entire queue were validated.Further analysis explored biological enrichment pathways and differ-ences in immune-related functions between high and low-risk groups.The comparison between the two groups was performed by Wilcoxon test.Results A total of 211 DRlncRNAs were obtained after lncRNA data were extracted and co-expression analysis and difference analysis were performed.After combining the DRlncRNAs after difference analysis with clinical samples,4 DRlncRNAs were finally selected to build a prognostic risk model.In this model,the survival rate of high-risk group was significantly lower than that of low-risk group(P＜0.05).The area under curve(AUC)values of 1-year,3-year and 5-year survival pre-diction for patients in the training set were 0.790,0.601 and 0.690,respectively.It also had good predic-tive performance in the test set and the whole queue.Further analysis showed that the high and low risk groups also had statistically significant difference in biological enrichment pathway and immune-related functions(P＜0.05).Conclusion DRlncRNA has high prognostic value in HCC,and the prognostic risk model constructed with four DRlncRNA can effectively predict the survival prognosis of HCC patients.
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