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. 2023 Apr 19;14:1102094. doi: 10.3389/fimmu.2023.1102094

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Copyright © 2023 Kuang, Jiang, Zhu, Zhou, Huang, Li, Zhang, Li and Cao

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 the differentially expressed ICD-related genes and sub-clusters derived from these genes. (A) Protein-protein interactions (PPI) among the differentially expressed ICD-related genes. (B) Heatmap visualization of expression levels in 32 differentially expressed ICD-associated genes between lower-grade glioma (LGG) samples and normal brain tissue specimens, respectively, from the TCGA and GTEx databases. (C) In accordance with the consensus clustering matrix (k =2), LGG patients were split into two sub-clusters. (D) Consensus clustering cumulative distribution function (CDF) with k=2-10. (E) Heatmap depicts the expression levels of 34 ICD- associated genes between various subclasses. The blue color denotes low expression, and the red means high expression. (F) Kaplan-Meier (KM) curves for patients’ overall survival (OS) between the two clusters. *P < 0.05; ***P < 0.001.