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 is urgently needed.Recently,high-throughput bulk and single-cell gene expression profling 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.
基金
supported by grants from the National Natural Science Foundation of China(Grant No.81772614)
the National Key R&D Program of China(Grant No.2017YFA0106700)
the Program for Guangdong Introducing Innovative and Entrepreneurial Teams(Grant No.2017ZT07S096)
the Zhejiang Qianjiang Talent Project(Grant No.QJD1602025)
the Guangdong Basic and Applied Basic Research Foundation(Grant No.2021B1515020108),China.
