Systematic Investigation of Tumor Microenvironment and Antitumor Immunity With IOBR

ABSTRACT The tumor microenvironment (TME) is a critical factor in antitumor immunity and treatment outcome in cancer therapy. We have developed an analysis tool called the immuno‐oncology biological research (IOBR) to investigate the TME and its role in antitumor immunity. Leveraging multi‐omics data, IOBR facilitates comprehensive analysis of TME characteristics, immune interactions, and their impact on immunotherapy outcomes. IOBR features six modules for TME analysis, including transcriptomic data preprocessing, TME profiling, TME pattern identification, ligand–receptor interaction analysis, genome‐TME interaction assessment, and visualization, along with modeling. Since its release, this tool has been widely applied in many studies. In the future, IOBR will gradually integrate TCR/BCR repertoire analysis, enhance genomic functionalities, and develop spatial transcriptomics modules, which will further our understanding of TME dynamics and tumor immunity.

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Publication Details

Journal
Med Research
Published
2025-03-26
DOI
https://doi.org/10.1002/mdr2.70001
Citations
73
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
76.31
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article

Systematic Investigation of Tumor Microenvironment and Antitumor Immunity With IOBR

Dongqiang Zeng, Rong Hua Guo, Qiong Luo, Wangjun Liao et al.
73 citations
Med Research
Cancer Immunotherapy and Biomarkers
76.31
article

Systematic Investigation of Tumor Microenvironment and Antitumor Immunity With IOBR

Dongqiang Zeng, Rong Hua Guo, Qiong Luo, Wangjun Liao, Yuyun Kong, Yiran Fang
article en
73 citations

Abstract

ABSTRACT The tumor microenvironment (TME) is a critical factor in antitumor immunity and treatment outcome in cancer therapy. We have developed an analysis tool called the immuno‐oncology biological research (IOBR) to investigate the TME and its role in antitumor immunity. Leveraging multi‐omics data, IOBR facilitates comprehensive analysis of TME characteristics, immune interactions, and their impact on immunotherapy outcomes. IOBR features six modules for TME analysis, including transcriptomic data preprocessing, TME profiling, TME pattern identification, ligand–receptor interaction analysis, genome‐TME interaction assessment, and visualization, along with modeling. Since its release, this tool has been widely applied in many studies. In the future, IOBR will gradually integrate TCR/BCR repertoire analysis, enhance genomic functionalities, and develop spatial transcriptomics modules, which will further our understanding of TME dynamics and tumor immunity.

Med ResearchVol. 1(1)
Nanfang Hospital (CN), Southern Medical University (CN), South China University of Technology (CN)
Openalex Percentile: Top 0%
Cancer Immunotherapy and Biomarkers
76.31
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