Unknown

Dataset Information

0

Specifying the choice of EGFR-TKI based on brain metastatic status for advanced NSCLC with EGFR p.L861Q mutation.


ABSTRACT:

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.

SUBMITTER: Pang LL 

PROVIDER: S-EPMC11533552 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Specifying the choice of EGFR-TKI based on brain metastatic status for advanced NSCLC with EGFR p.L861Q mutation.

Pang Lan-Lan LL   Zhuang Wei-Tao WT   Li Jun-Jun JJ   Li Bing B   Huang Yi-Hua YH   Liao Jun J   Li Meng-Di MD   Zhang Li L   Fang Wen-Feng WF  

Neoplasia (New York, N.Y.) 20241019


<h4>Background</h4>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.<h4>Methods</h4>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  ...[more]

Similar Datasets

| S-EPMC12451320 | biostudies-literature
| S-EPMC6076133 | biostudies-literature