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TIGER：肿瘤免疫治疗基因表达资源的网络门户。

TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource.

机构信息

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.

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.

出版信息

Genomics Proteomics Bioinformatics. 2023 Apr;21(2):337-348. doi: 10.1016/j.gpb.2022.08.004. Epub 2022 Aug 29.

DOI:10.1016/j.gpb.2022.08.004
PMID:36049666
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10626175/
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/.

摘要

免疫疗法是一种有前途的癌症治疗方法；然而，只有少数患者从中受益。迫切需要开发新的免疫疗法策略和有效的反应和耐药性生物标志物。最近，高通量批量和单细胞基因表达谱分析技术已经产生了有价值的资源。然而，这些资源没有得到很好的组织，系统分析也很困难。在这里，我们展示了 TIGER，这是一个肿瘤免疫治疗基因表达资源，其中包含 1508 个肿瘤样本的批量转录组数据，这些样本具有临床免疫治疗结果，以及 11057 个没有临床免疫治疗结果的肿瘤/正常样本，以及来自 655 个样本的 2116945 个免疫细胞的单细胞转录组数据。TIGER 提供了许多用于分析收集和用户提供的数据的有用模块。使用 TIGER 中的资源，我们鉴定了一个富含肿瘤的 CD4 T 细胞亚群。在黑色素瘤患者中，这个亚群的特征评分较高的患者在免疫治疗下的反应和生存显著更好。我们相信 TIGER 将有助于理解抗肿瘤免疫机制和发现有效的生物标志物。TIGER 可在 http://tiger.canceromics.org/ 免费访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/e02de0772510/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/7d5b02919e10/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/1fce5f1fded9/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/1c3d55faa5a1/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/f43d02e7bdb2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/e02de0772510/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/7d5b02919e10/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/1fce5f1fded9/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/1c3d55faa5a1/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/f43d02e7bdb2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/10626175/e02de0772510/gr5.jpg

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