4.6 Article

ICBatlas: A Comprehensive Resource for Depicting Immune Checkpoint Blockade Therapy Characteristics from Transcriptome Profiles

期刊

CANCER IMMUNOLOGY RESEARCH
卷 10, 期 11, 页码 1398-1406

出版社

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/2326-6066.CIR-22-0249

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资金

  1. National Key R&D Program of China
  2. Natural Science Foundation for Distinguished Young Scholars of Hubei Province of China
  3. Science, Technology and Innovation Commission of Shenzhen Municipality
  4. [2021YFF0703704]
  5. [2020CFA070]
  6. [JCYJ20210324141814037]

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Immune checkpoint blockade (ICB) therapy has shown remarkable clinical benefits for multiple cancer types. The ICBatlas database provides transcriptomic features of ICB therapy by analyzing 1,515 ICB-treated samples from 25 studies across nine cancer types. Users can explore clinical outcomes, treatment-related genes, biological pathways, and immune cell infiltration in relation to ICB therapy response or treatment modules.
Immune checkpoint blockade (ICB) therapy provides re-markable clinical benefits for multiple cancer types. Much work is currently being conducted to investigate the mechanisms of ICB therapy at the transcriptional level. Integrating the data produced by these studies will help us give more insight into the transcriptomic features of ICB therapy. We collected the transcriptome and clinical data of ICB-treated patient samples from the Gene Expression Omnibus, ArrayExpress, The Cancer Genome Atlas, and dbGaP databases. On the basis of the clinical information, all samples are initially classified into response/nonresponse or pretreatment/on-treatment groups. Differential expression, pathway enrichment, and immune cell infiltration analyses are performed between the samples from different groups. We also introduce the Response Score (RS) calculated by integrating the variability degree and the frequency of the dysregulated genes in the responders to evaluate the impact of gene expression on the response. Finally, all the above-mentioned contents are integrated into the ICBatlas database. ICBatlas provides the transcriptome features of ICB therapy through the analysis of 1,515 ICB-treated samples from 25 studies across nine cancer types. The data in ICBatlas include clinical outcomes, treatment-related genes, biological pathways, and immune cell infiltration. Users can investigate the above-mentioned transcriptome features in the response (R vs. NR) or treatment (Pre vs. On) modules at the data set, cancer type, or immune checkpoint level and compare the degree of gene impact on the response in the RS module. ICBatlas is the first database to show the transcriptome features on ICB therapy in human cancers and freely available at http://bioinfo.life.hust.edu.cn/ICBatlas/.

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