Prevalence and molecular correlates of acquired EGFR resistance mutations in non-small cell lung cancer (NSCLC)
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Updated: May 13, 2025

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
Published on: December 9, 2015
Luis E Raez1, Yasmine Baca2, Jennifer R Ribeiro2
1Thoracic Oncology Program, Memorial Cancer Institute/Florida Atlantic University, Miami, FL, USA.
Background:
While EGFR tyrosine kinase inhibitors (TKIs) are effective in treating patients with non-small cell lung cancer (NSCLC) with EGFR mutations, acquired resistance is expected. We aimed to determine the prevalence and molecular correlates of EGFR resistance mutations in a large, real-world cohort of EGFR-mutated NSCLC.
Research Design And Methods:
NSCLC tumors (N = 46,505) were profiled by next-generation sequencing (NGS) and immunohistochemistry at Caris Life Sciences (Phoenix, AZ). Patient treatments and outcomes were obtained from insurance claims data.
Results:
EGFR sensitizing mutations (exon 19 deletions, L858R mutations) were present in 3,885 patients with NSCLC, and EGFR resistance mutations (C797, T790M, L718, G724, G721) in 71 patients; 58 patients had both sensitizing and resistance mutations. Among tumors with resistance mutations, the most prevalent co-alterations were TP53 (50%), PD-L1 positivity (40%), gLOH (20%), and CTNNB1 (23.2%). L718 mutations predominantly co-occurred with L858R without T790M, and 9/16 developed post-osimertinib treatment.
Conclusions:
Acquired resistance mutations in EGFR-mutant NSCLC have a low observed frequency among molecularly-profiled tumors, possibly due to infrequent re-testing of resistant tumors. While T790M and C797S mutations are well-described, we also observed a significant number of L718 mutations in osimertinib-treated patients. These data support NGS evaluation of NSCLC that has become resistant to EGFR TKIs.
Insights
Acquired resistance mutations in EGFR-mutant non-small cell lung cancer (NSCLC) are infrequent. Next-generation sequencing (NGS) is recommended for NSCLC that becomes resistant to EGFR tyrosine kinase inhibitors (TKIs).
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are standard treatments for non-small cell lung cancer (NSCLC) with EGFR mutations.
- Acquired resistance to EGFR TKIs is a significant clinical challenge in NSCLC management.
- Understanding the prevalence and molecular landscape of resistance mechanisms is crucial for optimizing treatment strategies.
Purpose of the Study:
- To determine the frequency of EGFR resistance mutations in a large, real-world cohort of EGFR-mutated NSCLC patients.
- To identify molecular co-alterations associated with EGFR resistance mutations.
- To evaluate the clinical significance of specific resistance mutations, including those emerging after osimertinib treatment.
Main Methods:
- Analysis of 46,505 NSCLC tumors profiled by next-generation sequencing (NGS) and immunohistochemistry.
- Extraction of patient treatment and outcome data from insurance claims.
- Identification and characterization of EGFR sensitizing and resistance mutations, along with co-occurring genetic alterations.
Main Results:
- EGFR sensitizing mutations were found in 3,885 NSCLC patients; 71 patients harbored EGFR resistance mutations.
- Common co-alterations with resistance mutations included TP53 (50%), PD-L1 positivity (40%), gLOH (20%), and CTNNB1 (23.2%).
- L718 mutations were observed, particularly with L858R mutations and post-osimertinib treatment in a subset of patients.
Conclusions:
- Acquired EGFR resistance mutations in NSCLC exhibit a low observed frequency in molecularly profiled tumors, potentially due to limited re-testing.
- While T790M and C797S are known resistance mutations, L718 mutations represent another significant finding, especially in osimertinib-treated patients.
- These findings underscore the importance of NGS evaluation for NSCLC that develops resistance to EGFR TKIs.
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