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. 2022 Sep 15;13:970588. doi: 10.3389/fimmu.2022.970588

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Copyright © 2022 Yang, Zhang, Ding, Hu, Sun, Peng, Chu, Xie, Mei, Shao and Xiao

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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Outcome prediction of constructed GILncSig and verification as a valid prognostic factor independent of key clinical features. (A), (C), (E) Kaplan-Meier estimates of overall survival predicted by GILncSig for low-risk or high-risk patients in the training set, testing set and the combined TCGA cohort, respectively. Statistical analysis was performed using the log-rank test. (B), (D), (F) Time-dependent ROC curve analysis of GILncSig at 3 years in the training set, testing set and the combined TCGA cohort. (G) Kaplan-Meier estimates of overall survival predicted by GILncSig for low-risk or high-risk patients in young-patient group (age ≤ 65). (H) Kaplan-Meier estimates of overall survival predicted by GILncSig for low-risk or high-risk patients in old-patient group.