Related Experiment Video

Updated: Aug 30, 2025

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
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Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

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TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource

Zhihang Chen1, Ziwei Luo1, Di Zhang2

  • 1State 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.

Genomics, Proteomics & Bioinformatics
|September 1, 2022
PubMed

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 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/.

Keywords:
BiomarkerGene expressionImmunotherapySingle-cell RNA-seqWeb server

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