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. 2024 Jul 1;15:1409448. doi: 10.3389/fimmu.2024.1409448

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Copyright © 2024 Mao, Gao, Long, Guo, Chen, Huan and Yin

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 prognostic MCGs-based signature for HCC. (A) A total of 50 kinds of prediction models via LOOCV framework and further calculated the C-index of each model across all validation datasets. (B) Selection of optimal λ in LASSO regression. (C) Univariate Cox regression of 3 core prognostic mRNAs. (D) Time-dependent ROC curves of the MCGs signature based on entire datasets. (E) Kaplan-Meier curves of high-risk and low-risk subgroups. (F) Risk score distribution, heatmap and survival status in entire HCC datasets.