Fig. 6: Relationship between the DPS and immune infiltrating patterns, epigenetic features, and TMB. | npj Precision Oncology

Fig. 6: Relationship between the DPS and immune infiltrating patterns, epigenetic features, and TMB.

From: Biologically interpretable multi-task deep learning pipeline predicts molecular alterations, grade, and prognosis in glioma patients

Fig. 6

a The immune score and estimate score calculated by ESTIMATE were significantly correlated with DPS. b The infiltrating levels of 28 subpopulations of immune cells in high- and low-DPS subtypes based on ssGSEA. c Cell abundance scores were calculated with ssGSEA and compared between the two subtypes. Statistical significance was denoted as ***p < 0.001; **p < 0.01; *p < 0.05. d The heatmap displays the β values for the top 44 CpG sites with the highest DNA methylation variability. e Box plot shows the distribution of TCGA well-defined subtypes based on DNA methylation in the DPS subgroups. f The average methylation levels differed between DPS subgroups. g Violin diagram shows the difference in TMB between DPS subgroups. DPS deep prognosis score, TMB tumor mutation burden, ssGSEA single-sample gene set enrichment analysis.

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