Fig. 3

Immune landscapes of the high-risk and low-risk groups in the cohort from TCGA. A Bar charts depicting proportions of 22 types of immune cells estimated by the CIBERSORT method based on RNA-sequencing data for each patient and Sankey diagram showing that the patients in the cohort from TCGA were classified into high-risk and low-risk groups. B Comparison of leukocyte fractions based on DNA methylation data between the high-risk and low-risk groups. C Comparison of lymphocyte fractions estimated by the CIBERSORT method based on RNA-sequencing data between the high-risk and low-risk groups. D Comparison of TIL fractions based on molecular estimates from the processing of cancer genomics data between the high-risk and low-risk groups. E Comparison of TIL regional fractions based on estimates from processing diagnostic H&E images between the high-risk and low-risk groups. F Comparison of CD8 T cells estimated by the CIBERSORT method based on RNA-sequencing data between the high-risk and low-risk groups. G Comparison of 14 immune cells estimated by the Danaher method based on RNA-sequencing data between the high-risk and low-risk groups. In each cell type, the light color represents the high-risk group, and the dark color represents the low-risk group. The P value is shown at the top of the graph. H Comparison of the 29 immune signatures estimated by the ssGSEA method based on RNA-sequencing data between the high-risk and low-risk groups. For each cell type, the light color represents the high-risk group, and the dark color represents the low-risk group. The P value is shown at the top of the graph. I Unsupervised clustering based on 29 immune signatures in the cohort from TCGA, yielding two stable immune subtypes. J The proportions of high immune infiltration and low immune infiltration estimated by 29 immune signatures in the high-risk and low-risk groups