Cancer Research· 2017Q1
TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells
- 6,625citations
- Q1SCImago
- 2017year
Short summary
TIMER, a new web server, provides pre-calculated immune cell infiltration levels for 10,897 tumors across 32 cancer types, enabling interactive exploration of tumor-immune interactions.
AI-generated from the title and abstract; the full text is not read.
Key points
- TIMER provides pre-calculated immune cell infiltration levels for 10,897 tumors across 32 cancer types.
- The web server offers six analytic modules for interactive exploration of tumor-immune interactions.
- Analysis can be performed on associations between immune infiltrates and gene expression, clinical outcomes, somatic mutations, and copy number alterations.
- TIMER features a user-friendly interface for dynamic analysis and visualization.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Cancer Research, 2017 · DOI ↗
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Field: Oncology
OncologyMedicine