Research Paper Volume 15, Issue 17 pp 9086—9104
Integrated clustering signature of genomic heterogeneity, stemness and tumor microenvironment predicts glioma prognosis and immunotherapy response
Figure 1. Consensus clustering analysis in glioma. (A) Consensus clustering was performed based on the genomic heterogeneity of gliomas. (B) Kaplan-Meier curves displaying prognostic differences between different clusters. (C) The differences in TMB and MSI between clusters. (D) Consensus clustering was performed based on the stemness of gliomas. (E) Kaplan-Meier curves displaying prognostic differences between different clusters. (F) The differences in DNAss and RNAss between clusters. (G) Consensus clustering is performed based on the microenvironment of gliomas. (H) Kaplan-Meier curves displaying prognostic differences between different clusters. (I) The differences in the microenvironment scores between clusters.