Title |
TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells
|
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Published in |
Cancer Research, October 2017
|
DOI | 10.1158/0008-5472.can-17-0307 |
Pubmed ID | |
Authors |
Taiwen Li, Jingyu Fan, Binbin Wang, Nicole Traugh, Qianming Chen, Jun S Liu, Bo Li, X 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. Cancer Res; 77(21); e108-10. ©2017 AACR. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 521 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 74 | 14% |
Researcher | 73 | 14% |
Student > Master | 63 | 12% |
Student > Bachelor | 36 | 7% |
Other | 24 | 5% |
Other | 59 | 11% |
Unknown | 192 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 108 | 21% |
Medicine and Dentistry | 48 | 9% |
Agricultural and Biological Sciences | 43 | 8% |
Immunology and Microbiology | 28 | 5% |
Engineering | 12 | 2% |
Other | 51 | 10% |
Unknown | 231 | 44% |