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

作者信息

Li Taiwen, Fan Jingyu, Wang Binbin, Traugh Nicole, Chen Qianming, Liu Jun S, Li Bo, Liu X Shirley

机构信息

State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.

Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.

出版信息

Cancer Res. 2017 Nov 1;77(21):e108-e110. doi: 10.1158/0008-5472.CAN-17-0307.


DOI:10.1158/0008-5472.CAN-17-0307
PMID:29092952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6042652/
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. .

摘要

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本文引用的文献

[1]
Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade.

Cell Rep. 2017-1-3

[2]
Comprehensive analyses of tumor immunity: implications for cancer immunotherapy.

Genome Biol. 2016-8-22

[3]
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Nat Rev Genet. 2016-7-4

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Genomic Analysis of Immune Cell Infiltrates Across 11 Tumor Types.

J Natl Cancer Inst. 2016-6-22

[5]
Landscape of tumor-infiltrating T cell repertoire of human cancers.

Nat Genet. 2016-7

[6]
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Nat Med. 2015-8

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Nat Methods. 2015-5

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Cell. 2015-1-15

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