Epithelial phenotype as a predictive marker for response to EGFR-TKIs in non-small cell lung cancer patients with

Shengxiang Ren1, Chunxia Su, Zhaoye Wang

  • 1Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Tongji University Medical School Cancer Institute, Shanghai, People's Republic of China.

Insights

The epithelial phenotype, indicative of epithelial-to-mesenchymal transition (EMT), may predict response to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in non-small cell lung cancer (NSCLC) patients without EGFR mutations.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Epithelial-to-mesenchymal transition (EMT) influences cancer progression and drug resistance, including to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs).
  • A predictive biomarker for EGFR-TKI efficacy in non-small cell lung cancer (NSCLC) patients with wild-type EGFR remains elusive.
  • Understanding the role of EMT phenotypes in predicting treatment response is crucial for personalized NSCLC therapy.

Purpose of the Study:

  • To investigate the epithelial-to-mesenchymal transition (EMT) phenotype as a predictive biomarker for EGFR-TKI therapy in advanced NSCLC patients.
  • To correlate EMT markers with clinical outcomes in NSCLC patients treated with gefitinib or erlotinib.
  • To determine if EMT status can guide EGFR-TKI selection in wild-type EGFR NSCLC.

Main Methods:

  • Retrospective study of 202 stage IV or recurrent NSCLC patients treated with gefitinib or erlotinib.
  • Classification of EMT phenotypes (epithelial, epithelial to mesenchymal, not specified, mesenchymal) using immunohistochemistry for E-cadherin, fibronectin, N-cadherin, and vimentin.
  • Analysis of clinical data, EGFR mutational status, objective response rate (ORR), progression-free survival (PFS), and overall survival (OS).

Main Results:

  • Epithelial phenotype was more frequent in patients with EGFR mutations (p = 0.044).
  • In wild-type EGFR NSCLC, the epithelial phenotype showed significantly higher ORR (23.5% vs. 11.1% vs. 0.0% vs. 2.4%, p = 0.011), longer PFS (4.4 vs. 1.9 vs. 1.7 vs. 1.0 months, p < 0.001), and longer OS (11.5 vs. 8.9 vs. 4.5 vs. 4.9 months, p < 0.001) compared to other EMT phenotypes.
  • A similar trend was observed in the EGFR-mutated subgroup, though not statistically significant.

Conclusions:

  • The epithelial phenotype is associated with EGFR mutations and predicts a better response to EGFR-TKIs in advanced NSCLC patients with wild-type EGFR.
  • EMT phenotype may serve as a potential predictive biomarker to guide EGFR-TKI therapy selection in specific NSCLC patient populations.
  • Further research is warranted to validate EMT status as a clinical biomarker for EGFR-TKI treatment in NSCLC.