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http://hdl.handle.net/20.500.11861/7443
Title: | Identification of clinically approved drugs indacaterol and canagliflozin for repurposing to treat epidermal growth factor tyrosine kinase inhibitor-resistant lung cancer |
Authors: | Li, Hongjian Tong, Christy Wing-Sum Leung, Yee Wong, Man-Hon To, Kenneth Kin-Wah Prof. LEUNG Kwong Sak |
Issue Date: | 2017 |
Source: | Frontiers in Oncology, 2017, vol.7 (29), article number 288 |
Journal: | Frontiers in Oncology |
Abstract: | In advanced lung cancer, epidermal growth factor tyrosine kinase inhibitors (EGFR TKIs) have extraordinary clinical efficacy. However, their usefulness is severely compromised by drug resistance mediated by various mechanisms, the most important of which is the secondary EGFR T790M mutation. The mutation blocks the binding of EGFR TKIs to the receptor kinase, thereby abolishing the therapeutic efficacy. In this study, we used our free and open-source protein-ligand docking software idock to screen worldwide approved small-molecule drugs against EGFR T790M. The computationally selected drug candidates were evaluated in vitro in resistant non-small cell lung cancer (NSCLC) cell lines. The specificity of the drugs toward the mutant EGFR was demonstrated by cell-free kinase inhibition assay. The inhibition of EGFR kinase activity and its downstream signaling pathways in NSCLC cells was shown by immunoblot analysis. The positive hints were revealed to be indacaterol, canagliflozin, and cis-flupenthixol, all of which were shown to induce apoptosis in NSCLC cells harboring the EGFR T790M mutation. Moreover, the combination of indacaterol with gefitinib was also found to produce synergistic anticancer effect in NSCLC cells bearing EGFR T790M. The observed synergistic effect was likely contributed by the enhanced inhibition of EGFR and its downstream signaling molecules. © 2017 Li, Tong, Leung, Wong, To and Leung. |
Type: | Peer Reviewed Journal Article |
URI: | http://hdl.handle.net/20.500.11861/7443 |
ISSN: | 2234943X |
DOI: | 10.3389/fonc.2017.00288 |
Appears in Collections: | Applied Data Science - Publication |
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