| Literature DB >> 29092952 |
Taiwen Li1,2, Jingyu Fan3, Binbin Wang3, Nicole Traugh2, Qianming Chen1, Jun S Liu4, Bo Li5,4, X Shirley Liu5,3,4.
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. ©2017 American Association for Cancer Research.Entities:
Mesh:
Year: 2017 PMID: 29092952 PMCID: PMC6042652 DOI: 10.1158/0008-5472.CAN-17-0307
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701