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. 2022 Oct 15;14(10):1981–2003. doi: 10.4251/wjgo.v14.i10.1981

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©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.

This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/

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Evaluation of predictive accuracy of the cuproptosis-related long-chain non-coding RNAs signature (CupRLSig) model using the entire The Cancer Genome Atlas-Live Hepatocellular Carcinoma dataset. A: Kaplan-Meier curves for progression-free survival in high- and low-risk groups stratified by median value of cuproptosis-related long-chain non-coding RNAs signature (CupRLSig) risk score; B: Concordance index curves depicting CupRLSig risk scores and other clinical parameters relevant to predicting hepatocellular carcinoma patient prognosis; C and D: Forest plots for univariate (C) and multivariate (D) Cox proportional-hazards analysis for determination of the independent prognostic value of the CupRLSig risk score; E: Area under the curve (ROC) curves for the CupRLSig risk score and other clinicopathological variables; F: Time-dependent ROC curves for 1-, 3-, and 5-year survival for the CupRLSig signature. ROC: Receiver operating characteristic; AUC: Area under the curve.