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Updated: Jan 7, 2026

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
Overcoming Resistance in EGFR-Mutant Cancers: A Comprehensive Review of Inhibitor Evolution and SAR-Based Design
Hemlata Naykwadi1, Rajasekhar Reddy Alavala1
1Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS, V.L., Mumbai, Maharashtra, India.
Abstract:
The epidermal growth factor receptor (EGFR) is a key target in cancer therapy, mainly in non-small cell lung cancer (NSCLC). Though, the efficacy of EGFR-targeted therapies is limited by the development of resistance. This comprehensive review details the structural biology of EGFR and its role in oncogenic signaling, elucidating the major activating mutations, particularly exon 19 deletions and L858R point mutations, and acquired resistance. The progressive development of EGFR tyrosine kinase inhibitors (TKIs), from first-generation ATP-competitive inhibitors (e.g., gefitinib, erlotinib) to third-generation covalent agents (e.g., osimertinib) and emerging fourth-generation allosteric and degradation approaches, are critically examined for their mechanisms, efficacy, and clinical limitations. We have also discussed about the intrinsic and acquired resistance mechanisms, including alternative oncogenic drivers (KRAS, ALK), bypass pathway activations (MET, HER2), and phenotypic changes like epithelial-mesenchymal transition. Additionally, we emphasize the role of computational modeling, high-throughput SAR studies, and preclinical models, including patient-derived xenografts and organoids, in guiding rational drug design. Emerging approaches integrating artificial intelligence, machine learning, and precision oncology hold potential to accelerate EGFR-targeted drug discovery. The combination strategies with immunotherapy, and anti-angiogenic agents are considered in the context of improving patient outcomes. Together, ongoing advances in understanding EGFR signaling and resistance mechanisms are driving the development of next-generation inhibitors and personalized therapies, with the ultimate goal of overcoming drug resistance and improve patient outcomes in EGFR-mutant cancers.
Insights
This review covers epidermal growth factor receptor (EGFR) targeted therapies for non-small cell lung cancer (NSCLC), detailing resistance mechanisms and next-generation inhibitors to improve patient outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Epidermal growth factor receptor (EGFR) is a crucial target in non-small cell lung cancer (NSCLC) therapy.
- Therapeutic efficacy is often limited by the emergence of resistance to EGFR-targeted drugs.
- Understanding EGFR signaling and resistance is vital for developing effective cancer treatments.
Purpose of the Study:
- To provide a comprehensive review of EGFR structural biology and its role in oncogenic signaling.
- To elucidate major EGFR mutations (exon 19 deletions, L858R) and acquired resistance mechanisms.
- To critically examine the evolution of EGFR tyrosine kinase inhibitors (TKIs) and emerging therapeutic strategies.
Main Methods:
- Review of structural biology, oncogenic signaling pathways, and mutation analysis.
- Analysis of EGFR tyrosine kinase inhibitors (TKIs) across generations (1st to 4th).
- Discussion of resistance mechanisms including bypass pathways and phenotypic changes.
Main Results:
- Detailed examination of EGFR activating mutations and diverse resistance mechanisms (intrinsic and acquired).
- Evaluation of first- to fourth-generation EGFR TKIs, highlighting their efficacy and limitations.
- Exploration of computational modeling, preclinical models, and AI/ML in drug discovery.
Conclusions:
- Advances in understanding EGFR signaling and resistance are driving the development of novel inhibitors.
- Precision oncology approaches, including combination strategies, are key to overcoming resistance.
- The ultimate goal is to improve patient outcomes in EGFR-mutant cancers through personalized therapies.
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