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Fig. 9 | Journal of Big Data

Fig. 9

From: Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma

Fig. 9

Cellular and molecular characterization of RRG-related RiskScore. a Heatmap of the relationship between RRG-related RiskScore and 28 immune cell subpopulations identified by a previous study in the TCGA cohort. b Correlation between RiskScore and abundance of 28 immune cells. Correlations are calculated by spearman correlation analysis. Blue represents weak positive correlation, red represents strong positive correlation. c Immune activation-relevant genes (CD8A, CXCL10, CXCL9, GZMA, GZMB, IFNG, PRF1, and TBX21) expressed in high- and low-RiskScore groups. d Immune-checkpoint-relevant genes (CD274, CTLA4, HAVCR2, LAG3, PDCD1, PDCD1LG2, and TIGIT) expressed in high- and low-RiskScore groups. e EMT-relevant genes (CLDN3, CLDN7, CLDN4, CDH1, VIM, TWIST1, ZEB1, and ZEB2) expressed in high- and low-RiskScore groups. f Enrichment plots based on HALLMARK and KEGG gent sets showing the relatively significantly enriched pathways in high RiskScore group. Different pathways are indicated by different colors in each enrichment plot. P ≥ 0.1, P < 0.1, *P < 0.05, **P < 0.01, ***P < 0.001

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