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Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure
Published on: August 11, 2017
Coevolution-based computational approach to detect resistance mechanism of epidermal growth factor receptor
Gyan Prakash Rai1, Asheesh Shanker1
1Department of Bioinformatics, Central University of South Bihar, Gaya, Bihar 824236, India.
Abstract:
Tyrosine kinase epidermal growth factor receptor (EGFR) correlates the neoplastic cell metastasis, angiogenesis, neoplastic incursion, and apoptosis. Due to the involvement of EGFR in these biological processes, it becomes a most potent target for treating non-small cell lung cancer (NSCLC). The tyrosine kinase inhibitors (TKI) have endorsed high efficacy and anticipation to patients but unfortunately, within a year of treatment, drug targets develop resistance due to mutations. The present study detected the compensatory mutations in EGFR to know the evolutionary mechanism of drug resistance. The results of this study demonstrate that compensatory mutations enlarge the drug-binding pocket which may lead to the altered orientation of the ligand (gefitinib and erlotinib) causing drug resistance. This indicates that coevolutionary forces play a significant role in fine-tuning the structure of EGFR protein against the drugs. The analysis provides insight into the evolution-induced structural aspects of drug resistance changes in EGFR which in turn be useful in designing drugs with better efficacy.
Insights
Compensatory mutations in epidermal growth factor receptor (EGFR) drive resistance to non-small cell lung cancer treatments. These EGFR mutations alter drug-binding pockets, impacting tyrosine kinase inhibitor efficacy.
Area of Science:
- Biochemistry
- Molecular Biology
- Cancer Research
Background:
- Epidermal growth factor receptor (EGFR) is crucial in non-small cell lung cancer (NSCLC) progression, driving metastasis, angiogenesis, and inhibiting apoptosis.
- Tyrosine kinase inhibitors (TKIs) targeting EGFR show efficacy but are limited by acquired drug resistance, often within a year of treatment.
- Acquired resistance to EGFR-TKIs in NSCLC is frequently mediated by secondary mutations within the EGFR gene.
Purpose of the Study:
- To investigate the evolutionary mechanisms behind drug resistance in EGFR.
- To identify compensatory mutations in EGFR that contribute to TKI resistance.
- To understand how these mutations affect the drug-binding pocket and ligand interaction.
Main Methods:
- Analysis of EGFR mutations in resistant NSCLC cases.
- Structural analysis of EGFR protein with compensatory mutations.
- In silico modeling of drug-ligand interactions (gefitinib, erlotinib) with mutated EGFR.
Main Results:
- Compensatory mutations were detected in EGFR, suggesting an evolutionary adaptation to drug pressure.
- These mutations were found to enlarge the drug-binding pocket of EGFR.
- The enlarged pocket alters the binding orientation of TKIs like gefitinib and erlotinib, leading to reduced efficacy and drug resistance.
Conclusions:
- Coevolutionary forces significantly influence EGFR structure, promoting resistance to targeted therapies.
- Understanding evolution-induced structural changes in EGFR is key to overcoming drug resistance.
- This research provides insights for designing next-generation TKIs with improved efficacy against resistant NSCLC.
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