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. 2022 Jul 14;13:952413. doi: 10.3389/fimmu.2022.952413

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Copyright © 2022 Cai, Wu, Zhang and Dai

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 of EGR signature in the TCGA-LIHC cohort. (A) Volcano plot of the epigenetic regulators. (B) Univariate Cox analysis of the genes selected by DEGs. (C) Cross-validation for tuning the parameter selection in the LASSO regression. (D) The coefficients of the 6 OS-related genes. (E) Heatmap of genes consisted in EGR signature in normal and HCC patients. (F) Heatmap of genes consisted in EGR signature, the distribution of patients, and the survival status for each individual in low-risk and high-risk HCC patients. (G) Kaplan–Meier curves for the OS of patients between the high- and low-risk groups. (H) Time-dependent ROC curves demonstrated the predictive efficiency. (I) Area under the ROC curve of 1-year survival. (J) Univariate and multivariate Cox regression analyses for the EGRscore.