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

. 2020 Jan 28;10:1390. doi: 10.3389/fgene.2019.01390

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

Copyright © 2020 Xie, Ma, Yu, An, He and Zhang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

12-gene prognostic signature biomarker characteristics in TCGA training set, TCGA testing set and Meta-validation set. (A), (D) and (G) Breast cancer were ranked by immune risk scores in the TCGA training set, TCGA testing set and Meta-validation set. (B), (E) and (H) Heatmap of 12 genes related to IRGPI differentially expressed between high and low immune risk groups in the TCGA training set, TCGA testing set and Meta-validation set, with red indicating higher expression and blue indicating lower expression. Patients were stratified by immune-related gene prognostic index (IRGPI) (low immune risk vs. high immune risk). (C), (F), and (I) Kaplan−Meier curves of overall survival (OS) among different IRGPI risk groups in TCGA training set, TCGA testing set and meta-validation set. Hazard ratios (HRs) and 95% CIs are for high immune risk group vs. low immune risk group. P values comparing risk groups were calculated with the log-rank test.