Alterations in EGFR and Related Genes following Neo-Adjuvant Chemotherapy in Chinese Patients with Non-Small Cell Lung Cancer

Abstract

Introduction: Genetic aberrancies within epidermal growth factor receptor (EGFR) pathway are associated with therapeutic outcomes of EGFR-tyrosine kinase inhibitors (TKIs) in advanced non-small cell lung cancer (NSCLC). However, the impact of chemotherapy on EGFR-related genes alterations has not been defined in NSCLC. Our study aims to investigate the impact of neoadjuvant chemotherapy (Neoadj-Chemo) on EGFR activating mutations and associated EGFR-TKIs resistance-related genes. Patients and Methods: Matched tumor samples were obtained retrospectively from 66 NSCLC patients (stages IIb-IIIb) corresponding to pre- and post- Neoadj-Chemo. EGFR mutations were detected by denaturing high performance liquid chromatography (DHPLC) and confirmed by Amplification Refractory Mutation System technology (ARMS), KRAS mutations, T790M mutation and c-MET amplification were identified using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP), ARMS, and real-time PCR, respectively. Results: Before Neoadj-Chemo, EGFR mutations were identified in 33.3% (22/66) of NSCLC patients. Only 18.2% (12/66) of patients carried EGFR mutations after Neoadj-Chemo (p = 0.013). The median peak value of EGFR 19 exon mutations decreased non-significantly after Neoadj-Chemo. KRAS mutation rate decreased from 4.6% (3/66) to 3.0% (2/66) with Neoadj-Chemo. Although the overall percentage of patients exhibiting c-MET amplifications (6.1% [4/66]) did not change with Neoadj-Chemo, two patients transitioned from negative to positive c-MET amplification, and two patients reversed these changes post-Neoadj-Chemo. T790M mutations were absent from all samples. Conclusion: Neoadjuvant chemotherapy tends to decrease the mutation frequency of EGFR mutation and downstream genes, which suggests that real-time samples analysis for genetic aberrancies within EGFR pathways have important value to delineate specific patient populations and facilitate individualized treatment. © 2013 Wang et al.