Abstract

Abstract 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. Cancer Res; 77(21); e108–10. ©2017 AACR.

Keywords

TimerImmune systemMedicineComputer scienceWorld Wide WebImmunologyOperating system

MeSH Terms

Computational BiologyHumansImmune SystemImmunotherapyInternetLymphocytesTumor-InfiltratingNeoplasmsOutcome AssessmentHealth CareReproducibility of ResultsUser-Computer InterfaceWeb Browser

Affiliated Institutions

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Publication Info

Year
2017
Type
article
Volume
77
Issue
21
Pages
e108-e110
Citations
6373
Access
Closed

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Citation Metrics

6373
OpenAlex
272
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4257
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Cite This

Taiwen Li, Jing‐Yu Fan, Binbin Wang et al. (2017). TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells. Cancer Research , 77 (21) , e108-e110. https://doi.org/10.1158/0008-5472.can-17-0307

Identifiers

DOI
10.1158/0008-5472.can-17-0307
PMID
29092952
PMCID
PMC6042652

Data Quality

Data completeness: 90%