Epidermal growth factor receptor mutations and response to chemotherapy in patients with non-small-cell lung cancer

Kyung-Hun Lee1, Sae-Won Han, Pil Gyu Hwang

  • 1Department of Internal Medicine, Seoul National University College of Medicine, Chongno-Gu, Seoul, 110-744, South Korea.

Abstract

Insights

Epidermal growth factor receptor (EGFR) mutations do not impact non-small-cell lung cancer patient response to common chemotherapy drugs. However, p-Erk expression may predict gemcitabine effectiveness.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Investigating the link between epidermal growth factor receptor (EGFR) mutations and chemotherapy response in non-small-cell lung cancer (NSCLC) is crucial.
  • Molecular markers, including EGFR mutations, are known to influence gefitinib responsiveness.

Purpose of the Study:

  • To retrospectively analyze the association between chemotherapy response and molecular markers, specifically EGFR mutations, in NSCLC patients.
  • To determine if EGFR mutations or other molecular markers affect response to conventional chemotherapy agents.

Main Methods:

  • Direct sequencing was used to identify EGFR and K-ras mutations in NSCLC tumor tissues.
  • Immunohistochemistry assessed p-Erk and p-Akt expression.
  • Response rates (RR) and time-to-progression (TTP) to platinum, paclitaxel, and gemcitabine chemotherapy were analyzed.

Main Results:

  • EGFR or K-ras mutations, and p-Erk/p-Akt expression did not influence response to platinum or paclitaxel chemotherapy.
  • While EGFR/K-ras mutations and p-Akt expression did not affect gemcitabine response, all gemcitabine responders showed positive p-Erk expression (RR 30.6% vs. 0%, P = 0.01).
  • Time-to-progression was not significantly affected by any tested molecular markers for any of the chemotherapy agents.

Conclusions:

  • EGFR mutations do not predict response to conventional chemotherapy agents like platinum, paclitaxel, or gemcitabine in NSCLC.
  • p-Erk expression may be a predictive biomarker for gemcitabine treatment efficacy, suggesting its use might be limited in p-Erk negative tumors.

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