Immunohistochemical detection of EGFR mutation using mutation-specific antibodies in lung cancer

Atsuko Kitamura1, Waki Hosoda, Eiichi Sasaki

  • 1Department of Pathology and Molecular Diagnostics, Aichi Cancer Center Hospital, Nagoya, Japan.

Abstract

Insights

New antibodies for epidermal growth factor receptor (EGFR) mutations show limited accuracy in identifying patients with EGFR mutations for targeted lung cancer therapy. These mutation-specific antibodies may not reliably select all eligible patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pathology

Background:

  • Epidermal growth factor receptor (EGFR) mutations are key targets for tyrosine kinase inhibitor (TKI) therapy in advanced lung cancer.
  • Limited tissue availability from small biopsies in advanced lung cancer poses challenges for accurate mutational analysis.
  • Development of mutation-specific antibodies for immunohistochemistry (IHC) offers a potential alternative for detecting EGFR mutations.

Purpose of the Study:

  • To evaluate the efficacy of newly developed, mutation-specific antibodies for detecting major hotspot mutations (L858R and DEL E746-A750) in EGFR.
  • To assess the diagnostic performance (sensitivity and specificity) of these antibodies in non-small cell lung cancer (NSCLC) samples.
  • To correlate IHC findings with clinical response to EGFR-TKI treatment and investigate resistance mechanisms.

Main Methods:

  • Utilized five distinct NSCLC cohorts for comprehensive evaluation, including mutation screening, sensitivity/specificity assessment, spatial distribution analysis, clinical response correlation, and acquired resistance mutation analysis.
  • Employed immunohistochemistry with antibodies targeting specific EGFR mutations (L858R, DEL E746-A750).
  • Compared IHC results with molecular EGFR mutational status and clinical outcomes in patients treated with gefitinib.

Main Results:

  • Mutation-specific antibodies demonstrated reactivity to their intended targets but also cross-reacted with other EGFR mutations.
  • Overall diagnostic performance showed 96% specificity and 47% sensitivity, indicating potential for false positives and negatives.
  • Positive IHC reactions displayed heterogeneous distribution, correlating with overall EGFR expression and gene amplification, and showed a correlation with gefitinib treatment response, though with exceptions.

Conclusions:

  • The IHC detection of EGFR mutations using mutation-specific antibodies exhibits distinct characteristics compared to molecular analysis.
  • These antibodies may not accurately identify all patients with relevant EGFR mutations, potentially leading to suboptimal patient selection for EGFR-TKI therapy.
  • Further refinement or alternative diagnostic strategies are needed to ensure precise patient stratification for targeted lung cancer treatments.