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. 2022 Oct 20;13:1010787. doi: 10.3389/fgene.2022.1010787

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Copyright © 2022 Liao, Liu, Zhang, Zhang, Zhang and Zhao.

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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Designing and validating the ICD risk signature. (A,B) Lasso Cox regression analysis was used to identify 13 genes in the TCGA dataset that were strongly associated with OS; (C) ROC curves with the AUC values; (D,E) Univariate and multivariate Cox regression analyses were performed for assessing the prognostic values of the ICD genes, with regards to OS; (F) Risk score distribution, OS status of every patient, and the heatmaps depicting the prognostic application of the 13-gene signature; and (G) KM curves of the patient’s OS in the high-risk cohort and low-risk cohort subcategories.