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Complex mutation patterns of epidermal growth factor receptor gene associated with variable responses to gefitinib
Meng-Heng Hsieh1, Yueh-Fu Fang, Wen-Cheng Chang
1Department of Thoracic Medicine, Chang Gung Memorial Hospital, TaoYuan, Taiwan.
Abstract:
Mutational analysis was performed in the kinase domain (exons 18-21) of the EGFR gene on tumor tissues of 65 non-small cell lung cancer (NSCLC) patients who had received gefitinib monotherapy. The association between EGFR gene mutation, gefitinib treatment response, and the overall survival were evaluated. In total, EGFR mutations with complex patterns were identified in 32 tumors. The overall mutation rate was 49.2% (32/65). Twenty of the 32 patients were responders, 10 non-responders, and 2 not assessable. The most common mutation in non-responders was L858R. Gefitinib responsiveness was only significantly associated with EGFR mutation and adenocarcinoma. The median survival for responder (15.5 months) was much longer than non-responder (9.23 months), though the difference only had marginal significance (p=0.056). The difference of overall survival between patients with and without EGFR mutation was non-significant (p=0.7819), mainly due to the short survival of the non-responders with EGFR mutations (median survival=6.2 months). Our study revealed that the response to gefitinib treatment in NSCLC patients with EGFR mutations could be quite variable even for the same EGFR mutation type. An analysis of the various EGFR mutations and the response patterns was also performed and compared with recently published reports on EGFR mutation and gefitinib responsiveness.
Insights
EGFR mutations in non-small cell lung cancer (NSCLC) patients receiving gefitinib show variable responses. Even with the same EGFR mutation, treatment outcomes and survival can differ significantly.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacogenomics
Background:
- Gefitinib is a targeted therapy for non-small cell lung cancer (NSCLC) that inhibits the epidermal growth factor receptor (EGFR).
- EGFR mutations are key biomarkers for predicting gefitinib response in NSCLC.
- Understanding the variability in treatment response among patients with EGFR mutations is crucial for optimizing therapy.
Purpose of the Study:
- To investigate the association between EGFR gene mutations and gefitinib treatment response in NSCLC patients.
- To evaluate the impact of EGFR mutations on overall survival in NSCLC patients treated with gefitinib.
- To analyze the patterns of EGFR mutations and their correlation with gefitinib responsiveness.
Main Methods:
- Mutational analysis of the EGFR kinase domain (exons 18-21) was performed on tumor tissues from 65 NSCLC patients.
- Patients received gefitinib monotherapy.
- EGFR mutation status, gefitinib treatment response, and overall survival were evaluated and statistically analyzed.
Main Results:
- EGFR mutations were identified in 49.2% (32/65) of NSCLC patients, with complex patterns observed in 32 tumors.
- Gefitinib responsiveness was significantly associated with EGFR mutation and adenocarcinoma subtype.
- Responders had a longer median survival (15.5 months) than non-responders (9.23 months), though not statistically significant (p=0.056). Non-responders with EGFR mutations had a median survival of 6.2 months.
Conclusions:
- Response to gefitinib in NSCLC patients with EGFR mutations can be highly variable, even for identical mutation types.
- EGFR mutation status and adenocarcinoma are significant predictors of gefitinib responsiveness.
- Further analysis is needed to understand the diverse EGFR mutation patterns and their impact on gefitinib treatment outcomes.
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