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. 2020 Aug 6;10:1300. doi: 10.3389/fonc.2020.01300

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Copyright © 2020 Song, Guo, Yu, Wang, Wang, Dong and Hu.

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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Gene-set variation analysis and correlation between four immune-related genes and TFs. (A) Differences in pathway activities scored by GSVA between high- and low-risk patients. T values are shown from a linear model. We set |t| > 1 as a cutoff value. The pink column indicates activated pathways in high-risk patients, and the orange column indicates activated pathways in low-risk patients (DN, down; UV, ultraviolet; v1, version 1; v2, version 2). (B) Pathway enrichment analysis based on GO gene sets, including BP, CC, and MF, between high- and low-risk patients. |log2FC| > 0.2 was considered as a cutoff value. Red indicates activated pathways in low-risk patients, and blue indicates activated pathways in high-risk patients. (C) Network diagram of four immune-related genes interacting with TFs. The circles represent immune-related genes, where red is for high-risk genes and blue is for low-risk genes. Rhombus represents TFs. Red whip represents positive correlation, and green whip represents negative correlation.