Li Taiwen, Fan Jingyu, Wang Binbin, Traugh Nicole, Chen Qianming, Liu Jun S, Li Bo, Liu X Shirley
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.
Cancer Res. 2017 Nov 1;77(21):e108-e110. doi: 10.1158/0008-5472.CAN-17-0307.
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. .
癌症免疫疗法近期在临床上取得的成功使得对恶性细胞与宿主免疫系统之间的相互作用进行研究成为必要。然而,阐明复杂的肿瘤-免疫相互作用面临着重大的计算和实验挑战。在此,我们展示了肿瘤免疫评估资源(TIMER;cistrome.shinyapps.io/timer),以全面研究肿瘤-免疫相互作用的分子特征。针对来自32种癌症类型的10897个肿瘤,预先计算了六种肿瘤浸润免疫亚群的水平。TIMER提供6个主要分析模块,允许用户交互式地探索免疫浸润与广泛因素之间的关联,这些因素包括基因表达、临床结果、体细胞突变和体细胞拷贝数改变。TIMER为这些关联的动态分析和可视化提供了一个用户友好的网络界面,这将对癌症研究人员具有广泛的用途。