Objective To establish a prognostic prediction model for hepatocellular carcinoma (HCC) patients based on cuproptosis-related long non-coding RNA (LncRNA) and to validate its efficacy. Methods We obtained RNA expression data and clinical data of HCC from The Cancer Genome Atlas (TCGA) . Getting cuproptosis-related gene sets from literatures. Correlation analysis was used to screen cuproptosis-related LncRNAs. We used Lasso regression and Cox regression to screen LncRNAs with clinical prognostic significance and constructed a prognosis prediction model. The predictive efficacy of the model was evaluated by survival analysis, receiver operating characteristic (ROC) curve, and calibration curve. Results A total of 6 LncRNAs with independent prognostic significance (PICSAR, AC026356.1, MKLN1-AS, AL928921.1, LINC00479, and AC026412.3) were included to construct the prognostic prediction model. The survival analysis of the whole data set, test set and training set was carried out according to the high and low risk groups. The results showed that in three data sets, the overall survival time of the high risk group was shorter than that of the low risk group, and in the whole data set, the progression-free survival time of the high risk group was also shorter than that of the low risk group (both P<0. 05) . The number of sample deaths increased with the increase of risk score, and this conclusion was verified in the test set and the whole data set. The area under the curve of the risk model in predicting 1-, 3- and 5-year survival rates was 0.765, 0.664, and 0.649, respectively; compared with the other clinical factors [TNM stage (0.667), age (0.538), sex (0.512), and differentiation (0.507)], the area under the curve of the risk score model (0.765) was the largest. Univariate and multivariate Cox regression analysis showed that TNM stage and risk score were independent prognostic factors. According to the nomogram, its consistency index was 0.679 (95% CI:0.652-0. 705) . Combined with the calibration curve, the predicted survival rate was basically consistent with the observed survival rate. Conclusions A prognostic prediction model for HCC patients is successfully constructed based on 6 cuproptosis-related LncRNAs, and the model has high predictive efficacy after verification. [ABSTRACT FROM AUTHOR]