Cytomorphological correlates of epidermal growth factor receptor mutations in lung carcinoma

Elena F Brachtel1, A John Iafrate, Eugene J Mark

  • 1Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA. ebrachtel@partners.org

Insights

Fine-needle aspiration biopsy can identify epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma. Specific cytomorphological features on biopsy predict EGFR mutations, aiding in tyrosine kinase inhibitor (TKI) therapy selection.

Area of Science:

  • Oncology
  • Molecular Pathology
  • Cytopathology

Background:

  • Lung carcinoma diagnosis often relies on fine-needle aspiration biopsy.
  • Tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR) are novel therapies.
  • EGFR mutations predict therapeutic response to TKIs in lung carcinomas.

Purpose of the Study:

  • To investigate if tumors with EGFR mutations exhibit a characteristic phenotype on fine-needle aspiration biopsy.
  • To correlate cytomorphological features with EGFR mutations in lung adenocarcinomas.
  • To assess the predictive value of cytomorphology for EGFR mutations.

Main Methods:

  • Analyzed 37 fine-needle aspiration biopsies of lung masses with available EGFR mutation analysis.
  • Performed molecular analysis for EGFR mutations in exons 18-24.
  • Assessed cytomorphological parameters including tissue pattern, nuclear features, and extracellular material by blinded observers.

Main Results:

  • Thirteen of 37 cases showed EGFR mutations.
  • Tumors with EGFR mutations were more likely to have flat, monolayer architecture (P=0.04).
  • Nuclear inclusions (P=0.014) and absence of macronucleoli (P=0.001) were associated with EGFR mutations.

Conclusions:

  • Cytomorphological features like flat monolayers, nuclear inclusions, and absence of macronucleoli correlate with EGFR mutations.
  • These features can serve as adjunctive predictive markers for TKI response.
  • The combination of flat monolayers, absence of extracellular mucin, and macronucleoli predicted EGFR mutations with high negative predictive value (92%).