Systematic analysis of the potential off-target activities of osimertinib by computational target fishing. Issue 1 (January 2022)

• Record Type: Journal Article
• Authors: Chen, Shao-jun; Bi, Yan-hua; Zhang, Li-hua
• Is Part Of: Anti-cancer drugs. Volume 33:Issue 1(2022)
• Publication Date: 2022-01
• Subjects: AZD9291 -- osimertinib -- EGFR -- off-target -- systems pharmacology; Antineoplastic agents -- Periodicals; Cancer -- Chemotherapy -- Periodicals; Antineoplastic Agents -- therapeutic use -- Periodicals; Drug Therapy -- Periodicals; 616.994061
• DOI: 10.1097/CAD.0000000000001229
• Languages: English
• ISSNs: 0959-4973

Abstract

Abstract : Osimertinib is a third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor used to treat non-small cell lung cancer. However, its off-targets are obscure, and systematic analysis of off-target activities remains to be performed. Here, we identified the off-targets of osimertinib using PharmMapper and DRAR-CPI and analyzed the intersected targets using the GeneMANIA and DAVID servers. A drug-target-pathway network was constructed to visualize the associations. The results showed that osimertinib is associated with 31 off-targets, 40 Kyoto Encyclopedia of Genes and Genomes pathways, and 9 diseases. Network analysis revealed that the targets were involved in cancer and other physiological processes. In addition to EGFR, molecular docking analysis showed that seven proteins, namely Janus kinase 3, peroxisome proliferator-activated receptor alpha, renin, mitogen-activated protein kinases, lymphocyte-specific protein tyrosine kinase, cell division protein kinase 2 and proto-oncogene tyrosine-protein kinase Src, could also be potential targets of osimertinib. In conclusion, osimertinib is predicted to target multiple proteins and pathways, resulting in the formation of an action network via which it exerts systematic pharmacological effects.