Fig. 5

Survival analysis of TAM subsets deconvoluted from bulk RNA-seq datasets. a, b Boxplots showing the differential distribution of TAM-SPP1 in primary glioma patients from the TCGA (a) and CGGA (b) datasets (Good: alive; poor: death). c, d Kaplan–Meier curves of overall survival according to the proportions of TAM-SPP1 in TCGA (c) and CGGA (d) glioma patients. e Boxplots showing the differential distribution of TAM-SPP1 in primary and recurrent glioma patients from the CGGA dataset. f, g Kaplan–Meier curves of overall survival according to the proportions of TAM-CCL3 in TCGA (f) and CGGA (g) glioma patients. h Heatmap depicting a consensus clustering solution (K = 2) for three TAM signatures in 507 primary glioma samples from the TCGA dataset, the blue color indicating a high level of similarity in the expression profiles among the genes within a cluster. i Boxplot showing the differential distribution of seven cell types in Cluster 1 and Cluster 2 glioma patients from the TCGA datasets. j Kaplan–Meier curves of overall survival of patients in Cluster 1 and Cluster 2 among the 507 TCGA glioma patients. k Heatmap illustrating the expression pattern of inhibitory ligands, receptors, and enzymes in each cluster. Expression values are represented by z scores calculated across all tumors in the two clusters. (orange: high expression; green: low expression). Statistical significance was assessed by unpaired two-tailed Student’s t-test for (a, b, e, i), and by two-sided log-rank (Mantel-Cox) test for (c, d, f, g, j). *p < 0.05; **p < 0.01; ****p < 0.0001