ABSTRACT
Immune checkpoint inhibitors (ICIs) have completely changed the therapeutic approach for tumor patients. Immunotherapy has also produced much needed data about mutation, expression, and prognosis, providing an unprecedented opportunity for discovering candidate drug targets and screening for immunotherapy-relevant biomarkers. Although existing web tools enable biologists to analyze the expression, mutation, and prognosis data on tumors, they are currently not able to carry out data mining and mechanism analyses related to immune checkpoint therapy. Thus, we developed our own web-based tool called Comprehensive Analysis on Multi-Omics of Immunotherapy in Pan-cancer (CAMOIP), in which we can screen prognostic markers and analyze the mechanisms involved with markers and immunotherapy (more than 4000 patients). The analyses include survival analysis, expression analysis, drug sensitivity analysis, mutational landscape, immune checkpoint analysis, immune related signature analysis, immune cell analysis, immune gene analysis, immunogenicity analysis and gene sets enrichment analysis (GSEA). This comprehensive analysis of biomarkers for immunotherapy can be carried out by a click of CAMOIP, and the software should greatly encourage the further development of immunotherapy. CAMOIP fills the gap between the big data of cancer genomics based on immunotherapy and providing comprehensive information to users, helping to release the value of current ICI-treated data resources. CAMOIP can be found in https://www.camoip.net.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
↵* Jian Zhang Tel: 86-13925091863; Fax: 020-61643888; Email: zhangjian{at}i.smu.edu.cn
