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PMID: 29092952 Published · ppublish English Journal Article

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

Cancer research ·Vol. 77 ·No. 21 ·2017-00-01 ·Pages e108-e110

Li T, Fan J, Wang B, Traugh N, Chen Q, Liu JS, Li B, Liu XS

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.

MeSH Terms
Computational Biology/methods Humans Immune System/pathology Immunotherapy Internet Lymphocytes, Tumor-Infiltrating/pathology Neoplasms/genetics,immunology,therapy Outcome Assessment, Health Care/methods Reproducibility of Results User-Computer Interface Web Browser
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Li Taiwen
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.
Fan Jingyu
School of Life Science and Technology, Tongji University, Shanghai, China.
Wang Binbin
School of Life Science and Technology, Tongji University, Shanghai, China.
Traugh Nicole
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Chen Qianming
State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Liu Jun S
Department of Statistics, Harvard University, Boston, Massachusetts.
Li Bo
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts. xsliu@jimmy.harvard.edu bli@jimmy.harvard.edu. | Department of Statistics, Harvard University, Boston, Massachusetts.
Liu X Shirley
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts. xsliu@jimmy.harvard.edu bli@jimmy.harvard.edu. | School of Life Science and Technology, Tongji University, Shanghai, China. | Department of Statistics, Harvard University, Boston, Massachusetts.
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Article Info
Journal
Cancer research
Abbr.
Cancer Res
ISSN
1538-7445
Published
2017-00-01
Pages
e108-e110
Language
English
Region
United States
NLM ID
2984705R
PMCID
PMC6042652
Subset
IM
Grants
NCI NIH HHS · U01 CA180980 · United States
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