TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource

Zhihang Chen, Ziwei Luo, Di Zhang, Huiqin Li, Xuefei Liu, Kaiyu Zhu, Hongwan Zhang, Zongping Wang, Penghui Zhou, Jian Ren,

Genomics Proteomics & Bioinformatics · 2022 · 113 citations · 37 references

DOIFull text

Open access

Concepts

Abstract

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/.

References

37