Fig. 5

Correlation between DRGPS risk score and immune infiltration. a CIBERSORT algorithm analyzed the correlation of immune cells with the risk genes [2]. TIMER algorithm analyzed the correlation between risk scores and macrophages M1, M2, and B cells naïve immune cell subpopulations; (e) ESTIMATE algorithm analyzed the correlation between risk scores and stromal score, immune score, and ESTIMATE score; (f) immune landscape heatmap between high- and low-risk groups based on DRGPS; (g) differences in expression levels of different immune checkpoint genes between high- and low-risk groups; (h) ssGSEA analysis of differences in immune function between the two risk groups; Correlation of high risk scores (i) and low risk scores (j) with immune cells in pan-cancer. DRGPS, DRG prognostic signature; ssGSEA, single sample gene set enrichment analysis. The P values were shown as *P < 0.05; **P < 0.01; and ***P < 0.001