Research Paper Volume 16, Issue 3 pp 2657—2678

Identification of an angiogenesis-related risk score model for survival prediction and immunosubtype screening in multiple myeloma

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Figure 7. Association of the AAG_score with the immune microenvironment and immunotherapeutic response. (A) Differences in the levels of 28 infiltrating immune cells between the low-risk and high-risk groups (*P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001). (B) The correlation between the AAG_score and the infiltration of 28 immune cell types. Blue, negative correlation; orange, positive correlation. (C) Expression of 6 ICPs in the low-risk and high-risk groups. (D) Correlations between the 11 selected molecules and 28 infiltrating immune cell types. Red, positive; blue, negative. (E) The correlation between the 11 selected molecules and 6 ICPs. (F) OS analyses of the high- and low-AAG_score groups in the anti-PD-L1 immunotherapy cohort using Kaplan–Meier curves. (G) Differences in the AAG scores of patients in different anti-PD-L1 clinical response groups. (H) The proportion of patients in the high- and low-AAG_score groups who responded to anti-PD-L1 immunotherapy.