TIGER:A Web Portal of Tumor Immunotherapy Gene Expression Resource  

作　　者：Zhihang Chen Ziwei Luo Di Zhang Huiqin Li Xuefei Liu Kaiyu Zhu Hongwan Zhang Zongping Wang Penghui Zhou Jian Ren An Zhao Zhixiang Zuo 

机构地区：[1]State Key Laboratory of Oncology in South China,Cancer Center,Collaborative Innovation Center for Cancer Medicine,School of Life Sciences,Sun Yat-sen University,Guangzhou 510060,China [2]Department of Gastrointestinal Surgery,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases Guangdong Institute of Gastroenterology,The Sixth Affiliated Hospital,Sun Yat-sen University,Guangzhou 510655,China [3]Department of Urology,Cancer Hospital of the University of Chinese Academy of Sciences(Zhejiang Cancer Hospital),Hangzhou 310016,China [4]Experimental Research Center,Cancer Hospital of the University of Chinese Academy of Sciences(Zhejiang Cancer Hospital),Hangzhou 310016,China [5]Institute of Cancer and Basic Medicine(IBMC),Chinese Academy of Sciences,Hangzhou 310000,China

出　　处：《Genomics, Proteomics & Bioinformatics》2023年第2期337-348,共12页基因组蛋白质组与生物信息学报（英文版）

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.

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.

关 键 词：IMMUNOTHERAPY Biomarker GENEEXPRESSION Single-cell RNA-seq Web server 

分 类 号：Q811.4[生物学—生物工程]