TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource

Overview

Journal Genomics Proteomics Bioinformatics

Specialty Biology

Date 2022 Sep 1

PMID 36049666

Authors

Zhihang Chen

Ziwei Luo

Di Zhang

Huiqin Li

Xuefei Liu

Kaiyu Zhu

Hongwan Zhang

Zongping Wang

Penghui Zhou

Jian Ren

An Zhao

Zhixiang Zuo

Affiliations

Soon will be listed here.

Abstract

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/.

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