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. 2022 Oct 21;13:975419. doi: 10.3389/fgene.2022.975419

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Copyright © 2022 Xu, Wang, Li, Zhou and Feng.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Construction and validation of the prognostic model in the TCGA training set. (A) The LASSO coefficient profile of cuproptosis-related lncRNAs. (B) The 10-fold cross-validation for variable selection in the LASSO model. (C) Multivariate Cox regression analysis showed six independent prognostic lncRNAs. (D) Distribution of cuproptosis-related lncRNAs model-based risk score for the training set. (E) Different patterns of survival status and survival time between the high-risk and low-risk groups for the training set. (F) The clustering analysis heatmap shows the expression standards of the six prognostic lncRNAs for each patient in the training set. (G) Kaplan-Meier survival curves of the OS of high-risk and low-risk patients in the training set. (H) 1-, 3-, and 5-year ROC curve of the risk model.