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Peer-reviewedCC BY-NC 4.0Nucleic Acids Research

ImmunEscpMap: a gene-centered knowledgebase for immune escape in cancer and viral infection

  • Shun Jiang1
  • Shuyue Ma2
  • Yuzhou Feng3
  • Zhenxing Yang1
  • Jiliang Hu1
  • Zhiyuan Zhao4
  • Jianguo Wen2
  • Jiajia Liu2
  • Jiahao Yi5
  • Pora Kim2
  • Longke Ran1
  • Xiaobo Zhou2
5 affiliations
  1. 1School of Artificial Intelligence in Medicine, Chongqing Medical University , Chongqing 400016 ,
  2. 2Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston, TX 77030 ,
  3. 3School of Medicine, Shihezi University , Shihezi 832000 ,
  4. 4Information Center Department, Chongqing Medical University , Chongqing 400016 ,
  5. 5Bioinformatics and Biomedical Big Data Mining Laboratory, Department of Medical Informatics, School of Big Health, Guizhou Medical University , Guiyang 550025 ,
Open at sourcePDFDOICite

Abstract

Tumors exploit immune escape to evade elimination, whereas viruses remodel host immunity to replicate or persist. However, evidence to interpret these processes is fragmented across databases, literature, and omics analyses, hindering gene prioritization. To address this, we developed ImmunEscpMap, a gene-centered knowledgebase connecting cancer and viral-infection evidence within a unified immune-escape framework. The current release contains 55 711 gene-evidence records (53 911 PubMed records from 37 193 unique PMIDs and 1800 Gene Expression Omnibus records across 709 accessions) representing 667 distinct source genes (657 in cancer, 571 in viral infection, and 561 shared). Evidence is organized into eight immune-escape mechanisms and 14 viral contexts, with the cancer branch integrating multi-omics and clinical outcomes, and the viral branch separating mechanistic anchors from infection-associated evidence. The web interface supports identifier search, context browsing, literature views, interactive gene pages, and bulk downloads. ImmunEscpMap is freely available at https://iescpemap.cqmu.edu.cn/, providing a traceable cross-domain map to prioritize candidates and guide follow-up experiments.

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Cite

BibTeXRIS
BibTeX
@article{jiang2026immunescpmap,
  title = {{ImmunEscpMap: a gene-centered knowledgebase for immune escape in cancer and viral infection}},
  author = {Shun Jiang and Shuyue Ma and Yuzhou Feng and Zhenxing Yang and Jiliang Hu and Zhiyuan Zhao and Jianguo Wen and Jiajia Liu and Jiahao Yi and Pora Kim and Longke Ran and Xiaobo Zhou},
  journal = {Nucleic Acids Research},
  year = {2026},
  month = oct,
  doi = {10.1093/nar/gkag1013},
  url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1013/8937186},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - ImmunEscpMap: a gene-centered knowledgebase for immune escape in cancer and viral infection
AU  - Shun Jiang
AU  - Shuyue Ma
AU  - Yuzhou Feng
AU  - Zhenxing Yang
AU  - Jiliang Hu
AU  - Zhiyuan Zhao
AU  - Jianguo Wen
AU  - Jiajia Liu
AU  - Jiahao Yi
AU  - Pora Kim
AU  - Longke Ran
AU  - Xiaobo Zhou
PY  - 2026
DA  - 2026/10/19
JO  - Nucleic Acids Research
DO  - 10.1093/nar/gkag1013
UR  - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1013/8937186
AB  - Tumors exploit immune escape to evade elimination, whereas viruses remodel host immunity to replicate or persist. However, evidence to interpret these processes is fragmented across databases, literature, and omics analyses, hindering gene prioritization. To address this, we developed ImmunEscpMap, a gene-centered knowledgebase connecting cancer and viral-infection evidence within a unified immune-escape framework. The current release contains 55 711 gene-evidence records (53 911 PubMed records from 37 193 unique PMIDs and 1800 Gene Expression Omnibus records across 709 accessions) representing 667 distinct source genes (657 in cancer, 571 in viral infection, and 561 shared). Evidence is organized into eight immune-escape mechanisms and 14 viral contexts, with the cancer branch integrating multi-omics and clinical outcomes, and the viral branch separating mechanistic anchors from infection-associated evidence. The web interface supports identifier search, context browsing, literature views, interactive gene pages, and bulk downloads. ImmunEscpMap is freely available at https://iescpemap.cqmu.edu.cn/, providing a traceable cross-domain map to prioritize candidates and guide follow-up experiments.
SN  - 0305-1048
SN  - 1362-4962
ER  -