Biomarker analyses and final overall survival results from a phase III, randomized, open-label, first-line study of gefitinib versus carboplatin/paclitaxel in clinically selected patients with advanced non-small-cell lung cancer in Asia (IPASS)

J Clin Oncol. 2011 Jul 20;29(21):2866-74. doi: 10.1200/JCO.2010.33.4235. Epub 2011 Jun 13.

Abstract

Purpose: The results of the Iressa Pan-Asia Study (IPASS), which compared gefitinib and carboplatin/paclitaxel in previously untreated never-smokers and light ex-smokers with advanced pulmonary adenocarcinoma were published previously. This report presents overall survival (OS) and efficacy according to epidermal growth factor receptor (EGFR) biomarker status.

Patients and methods: In all, 1,217 patients were randomly assigned. Biomarkers analyzed were EGFR mutation (amplification mutation refractory system; 437 patients evaluable), EGFR gene copy number (fluorescent in situ hybridization; 406 patients evaluable), and EGFR protein expression (immunohistochemistry; 365 patients evaluable). OS analysis was performed at 78% maturity. A Cox proportional hazards model was used to assess biomarker status by randomly assigned treatment interactions for progression-free survival (PFS) and OS.

Results: OS (954 deaths) was similar for gefitinib and carboplatin/paclitaxel with no significant difference between treatments overall (hazard ratio [HR], 0.90; 95% CI, 0.79 to 1.02; P = .109) or in EGFR mutation-positive (HR, 1.00; 95% CI, 0.76 to 1.33; P = .990) or EGFR mutation-negative (HR, 1.18; 95% CI, 0.86 to 1.63; P = .309; treatment by EGFR mutation interaction P = .480) subgroups. A high proportion (64.3%) of EGFR mutation-positive patients randomly assigned to carboplatin/paclitaxel received subsequent EGFR tyrosine kinase inhibitors. PFS was significantly longer with gefitinib for patients whose tumors had both high EGFR gene copy number and EGFR mutation (HR, 0.48; 95% CI, 0.34 to 0.67) but significantly shorter when high EGFR gene copy number was not accompanied by EGFR mutation (HR, 3.85; 95% CI, 2.09 to 7.09).

Conclusion: EGFR mutations are the strongest predictive biomarker for PFS and tumor response to first-line gefitinib versus carboplatin/paclitaxel. The predictive value of EGFR gene copy number was driven by coexisting EGFR mutation (post hoc analysis). Treatment-related differences observed for PFS in the EGFR mutation-positive subgroup were not apparent for OS. OS results were likely confounded by the high proportion of patients crossing over to the alternative treatment.

Publication types

  • Clinical Trial, Phase III
  • Comparative Study
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't
  • Webcast

MeSH terms

  • Adenocarcinoma / chemistry
  • Adenocarcinoma / drug therapy*
  • Adenocarcinoma / genetics
  • Adenocarcinoma / mortality
  • Adenocarcinoma / pathology
  • Adenocarcinoma of Lung
  • Aged
  • Antineoplastic Agents / therapeutic use*
  • Antineoplastic Combined Chemotherapy Protocols / therapeutic use*
  • Asia
  • Biomarkers, Tumor / analysis*
  • Biomarkers, Tumor / genetics
  • Carboplatin / administration & dosage
  • Carcinoma, Non-Small-Cell Lung / chemistry
  • Carcinoma, Non-Small-Cell Lung / drug therapy*
  • Carcinoma, Non-Small-Cell Lung / genetics
  • Carcinoma, Non-Small-Cell Lung / mortality
  • Carcinoma, Non-Small-Cell Lung / pathology
  • Disease-Free Survival
  • ErbB Receptors / analysis*
  • ErbB Receptors / antagonists & inhibitors
  • ErbB Receptors / genetics
  • Female
  • Gefitinib
  • Gene Dosage
  • Humans
  • Immunohistochemistry
  • In Situ Hybridization, Fluorescence
  • Kaplan-Meier Estimate
  • Logistic Models
  • Lung Neoplasms / chemistry
  • Lung Neoplasms / drug therapy*
  • Lung Neoplasms / genetics
  • Lung Neoplasms / mortality
  • Lung Neoplasms / pathology
  • Male
  • Middle Aged
  • Mutation
  • Odds Ratio
  • Paclitaxel / administration & dosage
  • Patient Selection
  • Precision Medicine
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Protein Kinase Inhibitors / therapeutic use*
  • Quinazolines / therapeutic use*
  • Risk Assessment
  • Risk Factors
  • Survival Rate
  • Time Factors
  • Treatment Outcome

Substances

  • Antineoplastic Agents
  • Biomarkers, Tumor
  • Protein Kinase Inhibitors
  • Quinazolines
  • Carboplatin
  • EGFR protein, human
  • ErbB Receptors
  • Paclitaxel
  • Gefitinib