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. 2024 Jun 19;15:1355269. doi: 10.3389/fphar.2024.1355269

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Copyright © 2024 Lin, Yang, Wang, Huang, Wang, Chen, Xu, Cai, Khan, Liu and Lin.

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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Molecular subtyping and functional implication of TME-Met DEGs cross-talk. (A, B) Consensus clustering matrix in TCGA STAD patients. (C) Kaplan-Meier curves for the OS and (D) PFS comparison between clusters. (E) Heatmap illustrating the expression of 81 TME-Met DEGs (Red: upregulation; Blue: downregulation) between the clusters and correlation between clusters and clinicopathological features. (F) Heatmap shows the enrichment results of ESTIMATE algorithm and single-sample gene set enrichment analysis (ssGSEA) of immune cell infiltration between the clusters. p values are shown as: *p < 0.05; **p < 0.01; ***p < 0.001. (H) Sankey diagram presenting the correlation between clusters and immune subtypes. (I) Heatmaps showing GSVA enrichment scores of hallmark cancer pathways and (G) KEEG metabolic pathways in the clusters.