Fig. 4
Analysis of risk scores and immune landscape. (A) Cibersort algorithm calculated immune cell scores for 22 immune cell types in TCGA cohort samples, with Spearman correlation analysis against risk scores. (B) Differences in immune cell scores between high-risk and low-risk groups as defined by risk scores. (C) Higher tumor stemness scores observed in the high-risk group. (D, E) No significant differences in MSI and TMB scores between high- and low-risk groups. (F) Estimate algorithm calculating three immune scores in TCGA cohort samples, with differential analysis between risk groups. (G, H) TIDE algorithm assessing “Merck 18” scores (G) and expected immune response to treatment (H) in high- and low-risk groups. (I) Correlation between risk scores and 60 immune checkpoints. * denotes p < 0.05, ** denotes p < 0.01, *** denotes p < 0.001.
