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Published on: August 11, 2017
Specifying the choice of EGFR-TKI based on brain metastatic status for advanced NSCLC with EGFR p.L861Q mutation
Lan-Lan Pang1, Wei-Tao Zhuang1, Jun-Jun Li2
1Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, People's Republic of China.
Background:
In-depth insight into the genomic features of the uncommon EGFR p.L861Q mutant NSCLC is scarcely performed, and no consensus on the preferred treatment strategy has been established. Moreover, the therapeutic implications of EGFR-TKI stratified by clinical and molecular features remained largely unknown.
Methods:
A multi-center NGS database comprising 44,993 NSCLC samples was utilized for the genomic landscape profiling of EGFR p.L861Q mutation. Furthermore, a real-world cohort of 207 patients harboring EGFR p.L861Q mutation with complete treatment history was curated for comprehensive clinical analysis.
Results:
L861Q is prevalent in approximately 2.1% of EGFR-mutated NSCLC and is typically co-mutated with EGFR p.G719X on the same allele (20%) and exhibits co-occurrent EGFR copy number amplification in approximately 17% of cases. In the first-line setting, afatinib and third-generation EGFR-TKI have been shown to yield notably superior treatment outcomes compared to first-generation EGFR-TKI (1st vs.2nd vs.3rd generations, ORR: 15.8% vs.56.5% vs.46.7%, P=0.01; median PFS: 6.4 vs.13.5 vs.15.1 months, P=0.002). This finding consistently held for patients without CNS metastases (1st vs.2nd vs.3rd generations, median PFS:6.0 vs.18.2 vs.14.1 months, P=0.003). In contrast, third-generation EGFR-TKI demonstrated superior efficacy compared to afatinib or first-generation TKI among the subgroup of brain metastasis (Pooled 1st/2nd-generation vs.3rd-generation TKI, brain ORR:0.00% vs.33.33%; median PFS:7.9 vs.19.3 months, P=0.021). Additional concurrent EGFR mutations or EGFR amplification did not yield a discernible impact on the efficacy of EGFR-TKI.
Conclusions:
The present study comprehensively elucidates the molecular features of EGFR p.L861Q mutation and underscores the optimal therapeutic choice of first-line EGFR-TKI based on brain metastatic status.
Insights
The EGFR p.L861Q mutation in non-small cell lung cancer (NSCLC) is often co-mutated and benefits from specific tyrosine kinase inhibitors (TKIs). Third-generation TKIs are superior for brain metastases, while afatinib and third-generation TKIs show better outcomes in first-line treatment.
Area of Science:
- Oncology
- Genomics
- Pharmacology
Background:
- The EGFR p.L861Q mutation in non-small cell lung cancer (NSCLC) is uncommon, with limited genomic insight and no established treatment consensus.
- Therapeutic implications of EGFR-tyrosine kinase inhibitors (TKIs) stratified by clinical and molecular features for this mutation remain largely unknown.
Purpose of the Study:
- To profile the genomic landscape of the EGFR p.L861Q mutation in NSCLC.
- To analyze the clinical outcomes of EGFR-TKI treatment in patients with EGFR p.L861Q NSCLC.
- To determine the optimal first-line TKI strategy based on clinical features, particularly brain metastasis.
Main Methods:
- Utilized a multi-center next-generation sequencing (NGS) database of 44,993 NSCLC samples for genomic profiling.
- Curated a real-world cohort of 207 patients with EGFR p.L861Q mutation and complete treatment history for clinical analysis.
Main Results:
- EGFR p.L861Q mutation occurs in ~2.1% of EGFR-mutated NSCLC, frequently co-mutated with EGFR p.G719X (20%) or amplified EGFR copy number (17%).
- First-line afatinib and third-generation EGFR-TKIs showed superior outcomes over first-generation TKIs (median PFS: 13.5-15.1 vs. 6.4 months).
- Third-generation EGFR-TKIs demonstrated superior efficacy in patients with brain metastasis (median PFS: 19.3 vs. 7.9 months for pooled 1st/2nd-gen).
Conclusions:
- The study provides comprehensive insights into the molecular features of the EGFR p.L861Q mutation.
- Optimal first-line EGFR-TKI choice depends on brain metastatic status, with third-generation TKIs being preferred for CNS involvement.
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