The use of mutation-specific antibodies in predicting the effect of EGFR-TKIs in patients with non-small-cell lung cancer

J Cancer Res Clin Oncol. 2014 May;140(5):849-57. doi: 10.1007/s00432-014-1618-2. Epub 2014 Feb 22.

Abstract

Purpose: We aimed to quantify the epidermal growth factor receptor (EGFR) mutation in tumors and to analyze its prediction of EGFR-tyrosine kinase inhibitor (EGFR-TKI) treatment efficacy in EGFR mutation-positive non-small-cell lung cancer (NSCLC) patients.

Methods: We examined EGFR mutation status in 124 lung cancer samples by direct sequencing and amplification refractory mutation system. Among them, 41 were appropriate to quantify the expression of mutant EGFR proteins using immunohistochemistry (IHC) with mutation-specific antibodies. The quantification was determined by both the staining intensity and the proportion of stained tumor cells.

Results: The median progression-free survival (PFS) in patients with a high score for mutant EGFR expression was 18.0 months (95 % CI 16.0-20.0), which was significantly longer than that in patients with a low score (8.0 months; 95 % CI 2.6-13.4; P = 0.048). Such significant association with patients' PFS was also apparent in the proportion of stained tumor cells (median, 19.0 vs. 8.0 months; P = 0.019), but not in the staining intensity (P = 0.787). Among the 41 specimens, 32 were detected EGFR mutation positive by both direct sequencing and ARMS, referring to a relatively high abundance of mutation, and 26 (81.3 %) of them gained a high expression score of mutant proteins as well. Six samples with mutation negative by direct sequencing but positive by ARMS, which showed a low abundance, and 5 (83.3 %) of them also revealed a low expression score. The EGFR mutation quantitative analysis using mutation-specific IHC was moderately consistent with that by molecular-based assays (P = 0.001, kappa value 0.50).

Conclusions: Our results suggest that immunohistochemical analysis with mutation-specific antibodies is a promising approach for quantifying EGFR mutations, and may predict the effect of EGFR-TKI treatment for EGFR mutation-positive NSCLC.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Antibodies / genetics
  • Antibodies / therapeutic use
  • Carcinoma, Non-Small-Cell Lung / drug therapy
  • Carcinoma, Non-Small-Cell Lung / genetics*
  • Carcinoma, Non-Small-Cell Lung / immunology
  • Disease-Free Survival
  • ErbB Receptors / genetics*
  • Female
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Male
  • Middle Aged
  • Mutation*
  • Protein Kinase Inhibitors / therapeutic use

Substances

  • Antibodies
  • Protein Kinase Inhibitors
  • EGFR protein, human
  • ErbB Receptors