Fig. 7 | Scientific Reports

Fig. 7

From: Machine learning derived development and validation of extracellular matrix related signature for predicting prognosis in adolescents and young adults glioma

Fig. 7

Immune microenvironment analyses. (A-C) The differences in ESTIMATE score, immune score, stromal score and tumor purity between high and low MLDPS groups in CGGA-693 (A), CGGA-325 (B) and TCGA cohorts (C). (D-F) The differences in immune cells between high and low MLDPS groups according to WHO II (D), WHO III (E) and WHO IV (F) in CGGA-693 cohort estimated by ssGSEA method. (G-J) Kaplan-Meier survival analysis for evaluating prognosis in patients received immunotherapy in PRJNA482620 (G), IMvigor 210 (H), GSE91061 (I) and GSE78220 cohort (J). (K-N) The stacked histogram shows the differences in immunotherapy responsiveness between high and low MLDPS groups in PRJNA482620 (K), Imvigor 210 (L), GSE91061 (M) and GSE78220 (N). *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

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