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Fig. 7 | Journal of Translational Medicine

Fig. 7

From: A novel CAF-cancer cell crosstalk-related gene prognostic index based on machine learning: prognostic significance and prediction of therapeutic response in head and neck squamous cell carcinoma

Fig. 7

Immune characteristics in different CCRGPI subgroups. A Correlation between the immunescore, stromalscore, and CCRGPI (ns: not significant, ****p < 0.0001). B Correlation between the ES of immune-related gene sets and CCRGPI (**p < 0.01, ***p < 0.001). C GSEA analysis on the DEGs based on immune-related gene sets in the GO database (p < 0.05). D Expression of 46 immune checkpoints in different CCRGPI subgroups (ns: not significant, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001). E Proportion of immune cells in the TCGA cohort based on the XCELL, TIMER, MCPCOUNTER, EPIC, and CIBERSORT algorithms. CCRGPI cancer-associated fibroblast (CAF)-cancer cell crosstalk-related gene prognostic index, ES enrichment score, GO Gene Ontology, GSEA gene set enrichment analysis, TCGA The Cancer Genome Atlas

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