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. 2023 Jan 12;12:1020566. doi: 10.3389/fonc.2022.1020566

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Copyright © 2023 Zhang, Zhang, Zheng, Lin, Wang, Zheng, Chen and Ma

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 signature according to cuproptosis-related DEGs. (A) Construction of the prognostic model using LASSO Cox regression analysis. (B) Univariate and multivariate Cox regression analysis of clinical features and risk score in the training dataset. (C) Expression of the 4 genes in the CCLE database. (D) Kaplan-Meier curve in the high- and low-risk group. (E) Sensitivity and specificity of the risk score model assessed by time-dependent ROC analysis. (F) Ranked dot and scatter plots showing the risk score distribution and patients’ survival status. LASSO, the Least absolute shrinkage and selection operator; ROC, receiver operating characteristic. LDH, lactate dehydrogenases; ES, extranodal sites; ECOG, The Eastern Cooperative Oncology Group performance score.