Literature DB >> 29092952

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

Taiwen Li1,2, Jingyu Fan3, Binbin Wang3, Nicole Traugh2, Qianming Chen1, Jun S Liu4, Bo Li5,4, X Shirley Liu5,3,4.   

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. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 29092952      PMCID: PMC6042652          DOI: 10.1158/0008-5472.CAN-17-0307

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


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Journal:  Genome Biol       Date:  2016-08-22       Impact factor: 13.583

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