Clinical Cancer Research · 2010 · 102 citations · 21 references
MedicineMolecular GeneticsOncologyCancer GeneticsMolecular OncologyOncogenesCancer Molecular DiagnosticsLung CancerMolecular Classification Of TumorsMolecular Tumor ProfilingMutation AnalysisOncogene MutationsCancer Mutation AnalysisCodon 12 MutationsKras Mutation AnalysisKras Mutation TestingMutationRestriction Fragment Length Polymorphism AnalysisTumor ResistanceTumor Response Prediction
PURPOSE: Non-small cell lung cancer (NSCLC) with KRAS mutation may be resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKI). This study aims to evaluate a plasma-based KRAS mutation analysis and the clinical significance of plasma KRAS mutation as a predictive marker for tumor resistance to EGFR-TKIs in patients with NSCLC. EXPERIMENTAL DESIGN: DNA extracted from plasma and matched tumor tissues were obtained from 273 patients with advanced stage NSCLC. Patients were followed up prospectively for treatment outcomes. KRAS mutations in codon 12 and 13 were detected using PCR-restriction fragment length polymorphism. Mutations in plasma and matched tumors were compared. Associations between KRAS mutation status and patients' clinical outcomes were analyzed. RESULTS: KRAS mutation was found in 35 (12.8%) plasma samples and 30 (11.0%) matched tumor tissues. The consistency of KRAS mutations between plasma and tumors is 76.7% (23 of 30; kappa = 0.668; P < 0.001). Among 120 patients who received EGFR-TKI treatment, the response rate was only 5.3% (1 of 19) for patients with plasma KRAS mutation compared with 29.7% for patients with no KRAS mutation in plasma DNA (P = 0.024). The median progression-free survival time of patients with plasma KRAS mutation was 2.5 months compared with 8.8 months for patients with wild-type KRAS (P < 0.001). CONCLUSIONS: KRAS mutation in plasma DNA correlates with the mutation status in the matched tumor tissues of patients with NSCLC. Plasma KRAS mutation status is associated with a poor tumor response to EGFR-TKIs in NSCLC patients and may be used as a predictive marker in selecting patients for such treatment.
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