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Updated: May 5, 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
Should we be surprised at the paucity of response to EGFR inhibitors?
Barry A Gusterson1, Keith D Hunter
1Department of Pathology, Division of Cancer Sciences and Molecular Pathology, Faculty of Medicine, University of Glasgow, Western Infirmary, Glasgow, UK. bag5f@clinmed.gla.ac.uk
Abstract:
Data suggest that neither our current understanding of the function and signalling of epidermal growth factor receptor (EGFR), nor measurements of receptor expression are reliably predictive of therapeutic responses to EGFR inhibitors. The time has now come to consider whether such poor correlation between receptor expression and clinical response is caused by poor assays or by more fundamental issues relating to the in-vivo function of EGFR. Revisiting some of the early findings of the biology of EGFR function and understanding the limitations of immunohistochemistry as a quantitative technique might provide some clues. However, we still have a lot to learn about this receptor, its many ligands, and its binding partners in normal physiology and disease.
Insights
Current methods for measuring epidermal growth factor receptor (EGFR) expression do not reliably predict patient response to EGFR inhibitors. Further research into EGFR biology and assay limitations is needed for better therapeutic strategies.
Area of Science:
- Molecular Biology
- Oncology
- Pharmacology
Background:
- Epidermal growth factor receptor (EGFR) signaling is crucial in cell growth and cancer.
- EGFR inhibitors are a key therapeutic class, but their efficacy varies significantly.
- Current methods to predict response to EGFR inhibitors are insufficient.
Purpose of the Study:
- To investigate the reasons for the poor correlation between EGFR expression and therapeutic response.
- To evaluate the role of assay limitations versus fundamental biological issues in EGFR inhibitor efficacy.
- To highlight the need for a deeper understanding of EGFR function in normal physiology and disease.
Main Methods:
- Review of existing data on EGFR function, signaling, and expression.
- Critical assessment of quantitative techniques, including immunohistochemistry.
- Revisiting early findings in EGFR biology.
Main Results:
- Current understanding and measurement of EGFR expression do not reliably predict response to EGFR inhibitors.
- Limitations in current assays may contribute to the poor correlation.
- Fundamental aspects of in-vivo EGFR function might be underestimated.
Conclusions:
- There is a significant gap in predicting therapeutic outcomes for EGFR inhibitors.
- Improved assays and a more comprehensive understanding of EGFR biology are essential for optimizing cancer therapy.
- Further research into EGFR ligands and binding partners is warranted.
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