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

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机构: [1]State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China. [2]Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts. [3]School of Life Science and Technology, Tongji University, Shanghai, China. [4]Department of Statistics, Harvard University, Boston, Massachusetts.
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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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出版当年[2017]版:
大类 | 1 区 医学
小类 | 1 区 肿瘤学
最新[2023]版:
大类 | 1 区 医学
小类 | 2 区 肿瘤学
第一作者:
第一作者机构: [1]State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China. [2]Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
通讯作者:
通讯机构: [2]Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts. [3]School of Life Science and Technology, Tongji University, Shanghai, China. [4]Department of Statistics, Harvard University, Boston, Massachusetts. [*1]epartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215.
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