CanVaxKB:一个基于网络的癌症疫苗知识库。

CanVaxKB: a web-based cancer vaccine knowledgebase.

作者信息

Asfaw Eliyas, Lin Asiyah Yu, Huffman Anthony, Li Siqi, George Madison, Darancou Chloe, Kalter Madison, Wehbi Nader, Bartels Davis, Fleck Elyse, Tran Nancy, Faghihnia Daniel, Berke Kimberly, Sutariya Ronak, Reyal Farah, Tammam Youssef, Zhao Bin, Ong Edison, Xiang Zuoshuang, He Virginia, Song Justin, Seleznev Andrey I, Guo Jinjing, Pan Yuanyi, Zheng Jie, He Yongqun

机构信息

College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.

School of Medicine, University of Michigan, Ann Arbor, MI 48109, USA.

出版信息

NAR Cancer. 2024 Jan 9;6(1):zcad060. doi: 10.1093/narcan/zcad060. eCollection 2024 Mar.

Abstract

Cancer vaccines have been increasingly studied and developed to prevent or treat various types of cancers. To systematically survey and analyze different reported cancer vaccines, we developed CanVaxKB (https://violinet.org/canvaxkb), the first web-based cancer vaccine knowledgebase that compiles over 670 therapeutic or preventive cancer vaccines that have been experimentally verified to be effective at various stages. Vaccine construction and host response data are also included. These cancer vaccines are developed against various cancer types such as melanoma, hematological cancer, and prostate cancer. CanVaxKB has stored 263 genes or proteins that serve as cancer vaccine antigen genes, which we have collectively termed 'canvaxgens'. Top three mostly used canvaxgens are PMEL, MLANA and CTAG1B, often targeting multiple cancer types. A total of 193 canvaxgens are also reported in cancer-related ONGene, Network of Cancer Genes and/or Sanger Cancer Gene Consensus databases. Enriched functional annotations and clusters of canvaxgens were identified and analyzed. User-friendly web interfaces are searchable for querying and comparing cancer vaccines. CanVaxKB cancer vaccines are also semantically represented by the community-based Vaccine Ontology to support data exchange. Overall, CanVaxKB is a timely and vital cancer vaccine source that facilitates efficient collection and analysis, further helping researchers and physicians to better understand cancer mechanisms.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f58/10776203/f77fe3e3a6dd/zcad060figgra1.jpg

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