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.

Immunotherapy
|September 28, 2020
PubMed

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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