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. 2022 Jul 22;13:928742. doi: 10.3389/fimmu.2022.928742

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Copyright © 2022 Chen, Yao, Mao, Li, Wang, Sheng, Zhang, Wang, Chen, Xu, Deng, Sun, Zhou, Lowe, Bentley, Shao and Li

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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Kaplan–Meier curves in the TCGA test cohort (A) and the GEO validation cohort (C). TCGA test cohort (B) and GEO validation cohort (C) time-dependent receiver operating characteristic curves for the sensitivity and specificity of the prognosis assessment (D). Gene set variation analysis of the GEO validation cohort (the unit of color bars is log2 (actual expression) +1) (E). In the TCGA dataset, principal component analysis was used to evaluate the distribution patterns of the high- and low-risk patients (F). Prognostic signature decision curve analysis at 1 (G), 3 (H), and 5 years (I). Gene set variation analysis of the entire TCGA cohort (the unit of color bars is log2 (actual expression) +1) (J) (^* p < 0.05, ^** p < 0.01, ^*** p < 0.001).