Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2018 Aug;28(8):1136–1146. doi: 10.1101/gr.231837.117

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 2018 Jung et al.; Published by Cold Spring Harbor Laboratory Press

This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

PMC Copyright notice

Figure 5. — Cancer subgroups with distinctive immune activity signatures. The heatmap represents the activity of 49 significant immune pathways (rows) in 112 cancer samples (columns). Unsupervised clustering identifies cancer subgroups according to immune activity: stomach/esophageal (SE)-High, SE-Low, colorectal (CRC)-High, and CRC-Low. Clinical and molecular features of each cancer sample are marked on the top of the heatmap. Higher L1 insertion frequency and L1 expression levels are marked in darker red and orange, respectively. Cancer samples with EBV infection, MSI-high phenotype, and nonsynonymous mutations in TP53 are marked with filled boxes. Higher somatic SNV counts, RNA editing level, and counts of genes with somatic copy number aberrations are marked in darker colors. The color scale was separately normalized for stomach-esophageal cancer and colorectal cancer samples. Samples without RNA-seq data are marked in gray. A feature showing a significant difference between cancer subgroups is marked with an asterisk. The Mann-Whitney U test and Fisher's exact test were used to test statistical significance for continuous and categorical features, respectively.