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. 2023 Jul 7;14:1217590. doi: 10.3389/fimmu.2023.1217590

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Copyright © 2023 Zeng, Wang, Yang, Chen, Cui, Li, Luo, Ding, Ju, Li, Chen, Xie, Tong, Liu 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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Identification of immune activation related gene subtypes based on differentially expressed genes. (A) Volcano map showed differentially expressed genes between two patterns (|FC| >1.5, P < 0.05); (B) KEGG enrichment analysis of differentially expressed genes; (C) GO enrichment analysis of differentially expressed genes using Metascape; (D) Construction of core gene network using STRING database and cytoscope software; (E) Univariate cox analysis of core genes; (F, G) Consensus clustering based on core genes; (H) Prognostic differences between two genomic subtypes. (I) Sankey diagram based on IAG patterns, gene subtypes, gender, pathological stage, survival status and risk score.