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. 2021 Jul 9;9:619396. doi: 10.3389/fcell.2021.619396

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Copyright © 2021 Huang, Li, Wang, Wang, Zeng, Hu and Jiang.

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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Biological functions and pathways analyses of the ER stress-related signature in TCGA and CGGA datasets. (A,B) There is a significant separation between high-risk and low-risk groups in PCA analysis based on whole gene expression data. (C,D) GO analyses were performed to explore the biological processes tightly related to the risk signature. (E,F) KEGG pathway analyses were performed to explore the signaling pathways tightly related to the risk signature. (G,H) The heatmaps showed the association among risk score, clinicopathological features and ER stress-related biological functions and pathways.