免疫疗法
老虎
转录组
黑色素瘤
癌症免疫疗法
免疫系统
计算生物学
生物
医学
癌症研究
生物信息学
基因
免疫学
基因表达
计算机科学
遗传学
计算机安全
作者
Zhihang Chen,Ziwei Luo,Di Zhang,Huiqin Li,Xuefei Liu,Kaiyu Zhu,Hongwan Zhang,Zongping Wang,Penghui Zhou,Jian Ren,Zhisheng An,Zhixiang Zuo
标识
DOI:10.1016/j.gpb.2022.08.004
摘要
Immunotherapy is a promising cancer treatment method; however, only a few patients benefit from it. The development of new immunotherapy strategies and effective biomarkers of response and resistance are urgently needed. Recently, high-throughput bulk and single-cell gene expression profiling technologies have generated valuable resources. However, these resources are not well organized and systematic analysis is difficult. Here, we present TIGER, a tumor immunotherapy gene expression resource, which contains bulk transcriptome data of 1508 tumor samples with clinical immunotherapy outcomes and 11,057 tumor/normal samples without clinical immunotherapy outcomes, as well as single-cell transcriptome data of 2,116,945 immune cells from 655 samples. TIGER provides many useful modules for analyzing collected and user-provided data. Using the resource in TIGER, we identified a tumor-enriched subset of CD4+ T cells. Patients with melanoma with a higher signature score of this subset have a significantly better response and survival under immunotherapy. We believe that TIGER will be helpful in understanding anti-tumor immunity mechanisms and discovering effective biomarkers. TIGER is freely accessible at http://tiger.canceromics.org/.
科研通智能强力驱动
Strongly Powered by AbleSci AI