TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells

被引：4946

作者：

Li, Taiwen ^{[1
,2
]}

Fan, Jingyu ^{[3
]}

Wang, Binbin ^{[3
]}

Traugh, Nicole ^{[2
]}

Chen, Qianming ^{[1
]}

Liu, Jun S. ^{[4
]}

Li, Bo ^{[2
,4
]}

Liu, X. Shirley ^{[2
,3
,4
]}

机构：

[1] Sichuan Univ, State Key Lab Oral Dis, West China Hosp Stomatol, Chengdu, Sichuan, Peoples R China

[2] Dana Farber Canc Inst, Dept Biostat & Computat Biol, 450 Brookline Ave, Boston, MA 02215 USA

[3] Tongji Univ, Sch Life Sci & Technol, Shanghai, Peoples R China

[4] Harvard Univ, Dept Stat, Boston, MA 02115 USA

来源：

CANCER RESEARCH | 2017年 / 77卷 / 21期

基金：

中国国家自然科学基金;

关键词：

EXPRESSION; LANDSCAPE;

D O I：

10.1158/0008-5472.CAN-17-0307

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 [肿瘤学];

摘要：

Recent clinical successes of cancer immunotherapy necessitate the investigation of the interaction between malignant cells and the host immune system. However, elucidation of complex tumor-immune interactions presents major computational and experimental challenges. Here, we present Tumor Immune Estimation Resource (TIMER; cistrome.shinyapps.io/timer) to comprehensively investigate molecular characterization of tumor-immune interactions. Levels of six tumor-infiltrating immune subsets are precalculated for 10,897 tumors from 32 cancer types. TIMER provides 6 major analytic modules that allow users to interactively explore the associations between immune infiltrates and a wide spectrum of factors, including gene expression, clinical outcomes, somatic mutations, and somatic copy number alterations. TIMER provides a user-friendly web interface for dynamic analysis and visualization of these associations, which will be of broad utilities to cancer researchers. (C) 2017 AACR.

引用

页码：E108 / E110

页数：3

共 14 条

[1]

Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade [J].