Immunotherapy in advanced non-small-cell lung cancer with EGFR mutations
Fangfang Liu1, Xun Yuan1, Jizong Jiang1
1Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, China.
Abstract:
EGFR-tyrosine kinase inhibitors (EGFR-TKIs) had been regarded as the front-line treatment for advanced non-small-cell lung cancer (NSCLC) patients with EGFR mutations. However, resistance to EGFR-TKIs is inevitable, it remains a major challenge. Immune checkpoint inhibitors (ICIs) had shown superior clinical efficacy in many types of solid tumors, while it exhibited impaired overall efficacy in NSCLC with EGFR mutations. In this review, we will perform a meta-analysis to assess the relationship between the programmed death ligand 1 (PD-L1) expression and clinical benefit of EGFR-TKIs. We also overview the immunotherapy in advanced NSCLC patients with EGFR mutations to investigate the potential biomarkers predicting the ICIs efficiency, and the subgroups that could benefit from ICIs treatment.
Insights
Resistance to EGFR-tyrosine kinase inhibitors (EGFR-TKIs) is a challenge in non-small-cell lung cancer (NSCLC). This review explores PD-L1 expression and immunotherapy efficacy in EGFR-mutated NSCLC to identify potential treatment benefits.
Area of Science:
- Oncology
- Immunotherapy
- Molecular Biology
Background:
- Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are standard first-line treatments for advanced non-small-cell lung cancer (NSCLC) with EGFR mutations.
- Acquired resistance to EGFR-TKIs is a significant clinical challenge, limiting long-term patient benefit.
- Immune checkpoint inhibitors (ICIs) have shown promise in various cancers but exhibit limited efficacy in EGFR-mutated NSCLC.
Purpose of the Study:
- To conduct a meta-analysis evaluating the association between programmed death ligand 1 (PD-L1) expression and the clinical benefit of EGFR-TKIs in advanced NSCLC.
- To review the current landscape of immunotherapy for advanced NSCLC patients harboring EGFR mutations.
- To identify potential biomarkers that predict response to ICIs and define patient subgroups who may benefit from immunotherapy.
Main Methods:
- Meta-analysis of studies assessing PD-L1 expression and EGFR-TKI efficacy.
- Comprehensive literature review of immunotherapy clinical trials and real-world data in EGFR-mutated NSCLC.
- Exploration of predictive biomarkers for ICI response in this specific patient population.
Main Results:
- The meta-analysis aims to clarify the relationship between PD-L1 expression levels and the effectiveness of EGFR-TKIs.
- The review will synthesize data on the efficacy of various ICIs in advanced NSCLC with EGFR mutations.
- Identification of potential predictive biomarkers and patient subgroups for immunotherapy is a key objective.
Conclusions:
- Understanding the role of PD-L1 expression may help optimize EGFR-TKI therapy selection.
- Further research into immunotherapy strategies is crucial for improving outcomes in EGFR-mutated NSCLC.
- Identifying predictive biomarkers will enable personalized treatment approaches, potentially expanding the benefit of ICIs in NSCLC.
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