Skip to main content
Fig. 3 | Journal of Translational Medicine

Fig. 3

From: Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastoma

Fig. 3

Results of gene set enrichment analysis. A Six representative pathways showing the most significantly enriched one from Kyoto Encyclopedia of the Genome (KEGG), Hallmark, Reactome, BioCarta, Pathway Interaction Database (PID), and WikiPathways sorted by enriched FDRs. B A heatmap of the distribution of clinical features and gene set variation analysis (GSVA) scores of GSEA enrichment-related pathways in 132 patients in the radiogenomics analysis set. After performing a pearson correlation, 466 pathways were selected as prognostically relevant (FDR < 0.01) and clustered according to their specific function. Patients were ranked according to their radscore, and pathway activity (GSVA values) demonstrated differences between high and low risk groups. C The Ridgeline plot shows 16 representative pathways (according to FDR) originating from 6 datasets were selected to demonstrate the distribution of enriched pathways between different datasets and the distribution of correlations with radscore. D Bar plot shows the FDR values for the top four pathways enriched by each gene set

Back to article page