Fig. 8: Immune infiltration, mutation landscape, and drug sensitivity. | npj Precision Oncology

Fig. 8: Immune infiltration, mutation landscape, and drug sensitivity.

From: Machine learning-driven comprehensive profiling of tumor heterogeneity and sialylation in hepatocellular carcinoma

Fig. 8

A, B Bar and box plots showing immune cell composition predicted by the CIBERSORT algorithm in high-risk and low-risk groups. C Correlation between immune cell infiltration and risk scores. D Heatmap showing the correlation between immune cell infiltration and prognostic genes. E TIDE analysis showing significantly higher scores in the high-risk group. F Heatmap of immune infiltration levels in HCC based on ESTIMATE, CIBERSORT, and xCell algorithms. G Mutation waterfall plot comparing the top 20 mutations in high- and low-risk groups. H Correlation analysis between immune checkpoint genes and prognostic genes. I Box plots comparing drug sensitivity between high-risk and low-risk groups for 12 chemotherapy agents.

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