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Establishment and Characterization of Three Afatinib-resistant Lung Adenocarcinoma PC-9 Cell Lines Developed with Increasing Doses of Afatinib
Published on: June 26, 2019
New therapeutic approaches for EGFR mutated non-small cell lung cancer on osimertinib era
Jaime Rubio-Perez1, Roberto Hernandez2, Carlota Santolaya3
1Memorial Sloan Kettering Cancer Center, NY, USA; Department of Medical Oncology, Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD, UAM), Madrid, Spain.
Introduction:
EGFR-mutated non-small cell lung cancer (EGFRmut NSCLC) represents a heterogeneous group of tumors with varying clinical outcomes. Resistance to osimertinib, a third-generation EGFR tyrosine kinase inhibitor (EGFR-TKI), is inevitable, with emerging evidence suggesting that concurrent genomic alterations influence treatment efficacy.
Materials And Methods:
This retrospective study analyzed 58 stage IV EGFRmut NSCLC patients treated with osimertinib across four hospitals in Madrid, Spain, between March 2021 and February 2023. Comprehensive genomic profiling was conducted using next-generation sequencing (NGS) to evaluate co-mutations. Kaplan-Meier survival curves and Cox regression were applied to assess progression-free survival (PFS) and overall survival (OS).
Results:
A second co-mutation was identified in 44.1 % of patients, with TP53 (70 %) being the most frequent, followed by EGFR (11.5 %), PI3K (11.5 %), and MET amplifications (7.7 %). Patients with co-mutations exhibited significantly worse PFS compared to those with only EGFR mutations (HR: 8.0, 95 % CI: 1.81-35.4; p = 0.001). Specifically, TP53 co-mutations were associated with reduced PFS (HR: 21.6, 95 % CI: 2.77-169; p < 0.001) and a non-statistically significant trend toward worse OS (HR: 3.10, 95 % CI: 0.89-10.8; p = 0.062).
Discussion:
This study highlights the prognostic impact of co-mutations, particularly TP53, in EGFRmut NSCLC treated with osimertinib. These findings underscore the need for novel therapeutic approaches and personalized treatment strategies, especially in subgroups with poor prognoses. Trials such as MARIPOSA and FLAURA-2 provide promising evidence for treatment intensification, but careful patient stratification is essential to balance efficacy and toxicity.
Insights
Co-mutations, especially TP53, significantly worsen outcomes for EGFR-mutated non-small cell lung cancer (NSCLC) patients treated with osimertinib. Identifying these alterations is crucial for developing targeted therapies and improving patient prognoses.
Area of Science:
- Oncology
- Genomics
- Thoracic Surgery
Background:
- EGFR-mutated non-small cell lung cancer (EGFRmut NSCLC) is a diverse malignancy.
- Resistance to osimertinib, a third-generation EGFR tyrosine kinase inhibitor (EGFR-TKI), is a clinical challenge.
- Concurrent genomic alterations may impact treatment effectiveness in EGFRmut NSCLC.
Purpose of the Study:
- To investigate the prognostic significance of co-mutations in stage IV EGFRmut NSCLC patients receiving osimertinib.
- To evaluate the impact of specific co-mutations, such as TP53, on progression-free survival (PFS) and overall survival (OS).
Main Methods:
- Retrospective analysis of 58 stage IV EGFRmut NSCLC patients treated with osimertinib.
- Comprehensive genomic profiling using next-generation sequencing (NGS) to identify co-mutations.
- Kaplan-Meier survival analysis and Cox regression to assess PFS and OS.
Main Results:
- Co-mutations were identified in 44.1% of patients, with TP53 being the most frequent.
- Patients with co-mutations had significantly worse PFS compared to those without (HR: 8.0, p=0.001).
- TP53 co-mutations were strongly associated with reduced PFS (HR: 21.6, p<0.001) and a trend towards worse OS.
Conclusions:
- Co-mutations, particularly TP53, have a significant negative prognostic impact in EGFRmut NSCLC treated with osimertinib.
- These findings highlight the need for novel therapeutic strategies and precise patient stratification.
- Ongoing trials like MARIPOSA and FLAURA-2 offer potential for treatment intensification, emphasizing careful patient selection.
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