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. 2021 Dec 14;12:745945. doi: 10.3389/fimmu.2021.745945

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Copyright © 2021 Wu, Jiang, Liu, Lu, Lv and Liang

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 clinical significance analysis of molecular classification in TCGA cohort. (A) Kaplan-Meier analysis showed the Cluster1 patients had significantly poorer prognosis than Cluster2 patients. (B) Silhouette coefficients near 1 indicate that the sample is distinguished from neighboring clusters and determine that the best number of clusters was two. (C) Differential expression tested the expression difference between two clusters. (D) Heatmap of the specific cluster-associated genes. Forrest plot of univariate (E) and multivariate (F) Cox regression analysis in the TCGA cohort. (G) DCA for 5-year OS prediction shows that the molecular cluster (Cluster) has higher net benefit across 0% to 50% threshold probabilities than ClearCode34 classification (Classification). (H) A Sankey plot was used to reveal the correlation between molecular cluster, ClearCode34 classification, and clinical characteristics. (DCA, decision curve analysis; TCGA, The Cancer Genome Atlas; OS, overall survival).