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TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource
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 technol...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626175/ https://www.ncbi.nlm.nih.gov/pubmed/36049666 http://dx.doi.org/10.1016/j.gpb.2022.08.004 |
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author | Chen, Zhihang Luo, Ziwei Zhang, Di Li, Huiqin Liu, Xuefei Zhu, Kaiyu Zhang, Hongwan Wang, Zongping Zhou, Penghui Ren, Jian Zhao, An Zuo, Zhixiang |
author_facet | Chen, Zhihang Luo, Ziwei Zhang, Di Li, Huiqin Liu, Xuefei Zhu, Kaiyu Zhang, Hongwan Wang, Zongping Zhou, Penghui Ren, Jian Zhao, An Zuo, Zhixiang |
author_sort | Chen, Zhihang |
collection | PubMed |
description | 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/. |
format | Online Article Text |
id | pubmed-10626175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106261752023-11-07 TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource Chen, Zhihang Luo, Ziwei Zhang, Di Li, Huiqin Liu, Xuefei Zhu, Kaiyu Zhang, Hongwan Wang, Zongping Zhou, Penghui Ren, Jian Zhao, An Zuo, Zhixiang Genomics Proteomics Bioinformatics Web Server 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/. Elsevier 2023-04 2022-08-29 /pmc/articles/PMC10626175/ /pubmed/36049666 http://dx.doi.org/10.1016/j.gpb.2022.08.004 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Web Server Chen, Zhihang Luo, Ziwei Zhang, Di Li, Huiqin Liu, Xuefei Zhu, Kaiyu Zhang, Hongwan Wang, Zongping Zhou, Penghui Ren, Jian Zhao, An Zuo, Zhixiang TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource |
title | TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource |
title_full | TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource |
title_fullStr | TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource |
title_full_unstemmed | TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource |
title_short | TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource |
title_sort | tiger: a web portal of tumor immunotherapy gene expression resource |
topic | Web Server |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626175/ https://www.ncbi.nlm.nih.gov/pubmed/36049666 http://dx.doi.org/10.1016/j.gpb.2022.08.004 |
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