Predictors of the response to gefitinib in refractory non-small cell lung cancer

Kyu-Sik Kim1, Ju-Yeon Jeong, Young-Chul Kim

  • 1Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun, Jeollanam-do, 519-809 South Korea.

Insights

Gefitinib shows promise in non-small cell lung cancer, with EGFR mutations significantly predicting response. Genetic profiling may become a key factor in treatment selection.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Gefitinib, an EGFR tyrosine kinase inhibitor, has limited efficacy in refractory non-small cell lung carcinoma (NSCLC).
  • Previous studies suggest female gender, adenocarcinoma histology, and never-smoking status are potential response predictors.
  • EGFR gene mutations are increasingly recognized as significant predictors of gefitinib response.

Purpose of the Study:

  • To evaluate the response rate of gefitinib in patients with relapsed non-small cell lung carcinoma.
  • To identify clinical and genetic predictors of gefitinib response.
  • To assess the correlation between EGFR gene mutations and treatment outcomes.

Main Methods:

  • Eighty patients with relapsed NSCLC were treated with gefitinib.
  • Tumor specimens from 27 patients underwent EGFR gene sequence analysis.
  • Response evaluations included remission and stable disease.
  • Multivariate logistic analysis was used to identify independent predictors of response.

Main Results:

  • The overall response rate to gefitinib was 25% (20/80), with a disease control rate of 47.5%.
  • Higher response rates were observed in patients with adenocarcinoma (41.0%), never-smokers (58.8%), and females (42.1%).
  • EGFR gene mutations were detected in six of eight responders, and all patients with a mutation achieved remission. The response rate was significantly higher in patients with EGFR mutations (P < 0.001).

Conclusions:

  • Gefitinib demonstrates a notable response rate in relapsed NSCLC, particularly in specific patient subgroups.
  • EGFR gene mutations are a strong predictor of gefitinib response and remission.
  • Genetic profiling, specifically EGFR mutation status, may serve as an independent predictor of response, potentially surpassing traditional clinical variables.