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

Cancer Research · 2017 · Vol. 77(21) · pp. e108–e110
Taiwen LiJing‐Yu FanBinbin WangNicole TraughQianming ChenJun S. LiuBo LiX. Shirley Liu

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. <i>Cancer Res; 77(21); e108-10. ©2017 AACR</i>.

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune ResponsesCAR-T cell therapy researchTimerImmune systemMedicineComputer scienceWorld Wide WebImmunologyOperating system

MeSH terms

HumansImmune SystemImmunotherapyNeoplasmsUser-Computer InterfaceReproducibility of ResultsLymphocytes, Tumor-InfiltratingOutcome Assessment, Health CareComputational BiologyInternetWeb Browser

Funding

  • National Natural Science Foundation of China
  • Peking University
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