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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
Compound EGFR mutations and response to EGFR tyrosine kinase inhibitors
Susumu Kobayashi1, Hannah M Canepa, Alexandra S Bailey
1Department of Medicine, Division of Hematology/Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA.
Background:
Non-small-cell lung cancers (NSCLCs) containing EGFR mutations are exquisitely sensitive to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). This is the case of the most common EGFR mutations affecting exon 18 (G719X), 19 (inframe deletions), and 21 (L858R and L861Q). However, the frequency of compound (i.e., double or complex) EGFR mutations-where an EGFR TKI sensitizing or other mutation is identified together with a mutation of unknown clinical significance-and their pattern of response/resistance to EGFR TKIs are less well described.
Methods:
We analyzed the EGFR mutation pattern of 79 cases of NSCLC harboring EGFR mutations and compiled the genotype-response data for patients with NSCLCs with compound EGFR mutations treated with EGFR TKIs.
Results:
Of the 79 EGFR-mutated tumors identified, 11 (14%) had compound mutations. Most involved the EGFR TKI-sensitizing G719X (n = 3, plus S768I or E709A), L858R (n = 4, plus L747V, R776H, T790M, or A871G), L861Q (n = 1, plus E709V), and delL747_T751 (n = 1, plus R776H). Eight patients received an EGFR TKI: three cases with G719X plus another mutation had partial responses (PRs) to erlotinib; of three cases with L858R plus another mutation, two displayed PRs and one (with EGFR-L858R+A871G) progressive disease (PD) to erlotinib; one NSCLC with EGFR-L861Q+E709A and one with delL747_T751+R776S had PRs to EGFR TKIs.
Conclusion:
Compound EGFR mutations comprised 14% of all mutations identified during routine sequencing of exons 18-21 of EGFR in our cohort. Most patients with an EGFR TKI-sensitizing mutation (G719X, exon 19 deletion, L858R, and L861Q) in addition to an atypical mutation responded to EGFR TKIs. Reporting of the genotype-response pattern of NSCLCs with EGFR compound and other rare mutations, and the addition of this information to searchable databases, will be helpful to select the appropriate therapy for EGFR-mutated NSCLC.
Insights
Compound epidermal growth factor receptor (EGFR) mutations occur in 14% of non-small-cell lung cancers. Most patients with these EGFR mutations, including sensitizing and atypical mutations, respond well to EGFR tyrosine kinase inhibitors (TKIs).
Area of Science:
- Oncology
- Genetics
- Pharmacology
Background:
- Non-small-cell lung cancer (NSCLC) with specific epidermal growth factor receptor (EGFR) mutations is sensitive to EGFR tyrosine kinase inhibitors (TKIs).
- Common EGFR mutations include G719X, exon 19 deletions, L858R, and L861Q.
- The frequency and clinical response patterns of compound EGFR mutations (co-occurring sensitizing and atypical mutations) are not well-described.
Purpose of the Study:
- To determine the frequency of compound EGFR mutations in NSCLC.
- To analyze the response of NSCLC patients with compound EGFR mutations to EGFR TKIs.
Main Methods:
- Retrospective analysis of EGFR mutation patterns in 79 NSCLC cases.
- Compilation of genotype-response data for patients with compound EGFR mutations treated with EGFR TKIs.
Main Results:
- Compound EGFR mutations were identified in 11 (14%) of 79 NSCLC cases.
- Common compound mutations involved G719X, L858R, L861Q, and exon 19 deletions, often with atypical mutations.
- Eight patients received EGFR TKIs, with most showing partial responses (PRs), while one case with EGFR-L858R+A871G progressed (PD).
Conclusions:
- Compound EGFR mutations represent a significant subset (14%) of EGFR-mutated NSCLCs.
- Most patients with compound EGFR mutations, including sensitizing and atypical alterations, demonstrate positive responses to EGFR TKIs.
- Documenting genotype-response patterns for rare and compound EGFR mutations is crucial for optimizing NSCLC therapy selection.
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