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. 2022 May 17;13:866325. doi: 10.3389/fphar.2022.866325

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Copyright © 2022 Cui, Fu, Yang, Gao, Feng, Zhou, Zhang and Chen.

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 of a 13-gene prognostic signature by DEGs in two subtypes. (A,B) Least absolute shrinkage and selection operator (LASSO) regression analysis with ten-fold cross validation to determine the lambda number. (C) OS analysis of the risk group in TCGA dataset (log-rank p-test). (D) Heatmap of 13-gene expression in different risk groups (Wilcoxon tests). (E) Dot plot showing the distribution of risk score in patients with different survival time and status in TCGA. (F–H) Prognostic ROC AUC comparison in the 13-gene signatures with other known signatures in the training datasets (TCGA) for 1, 3, and 5 years. (I,J) EFS analysis and ROC of the risk group in TCGA dataset (log-rank p-test). (K) OS analysis of the risk group in the GSE10358 dataset (log-rank p-test).