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Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation
Published on: May 20, 2020
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
Abstract:
The initial diagnosis of lung carcinoma is frequently made by fine-needle aspiration biopsy. Novel therapeutic strategies of this disease include tyrosine kinase inhibitors (TKI), such as gefitinib (Iressa) or erlotinib (Tarceva), which target the kinase domain of epidermal growth factor receptor (EGFR). Somatic mutations of this region have been shown to predict a therapeutic response of lung carcinomas to TKI. EGFR mutations have been described in adenocarcinomas of the lung, especially the bronchioloalveolar subtype, which has both cytopathologic and histopathologic definitions. This study investigates whether tumors with EGFR mutations display a characteristic phenotype on fine-needle aspiration biopsy. We identified 37 fine-needle aspiration biopsy of lung masses on which molecular analysis for EGFR mutations was available. Molecular analysis was performed on DNA isolated from formalin-fixed, paraffin-embedded, or frozen tissue from the corresponding core biopsies/cell blocks or resection specimens followed by PCR with primers for the tyrosine kinase region exons 18-24 and nucleotide sequence analysis by gel electrophoresis. Two observers who were blinded to the mutational data assessed several cytomorphological parameters. A semiquantitative analysis included predominant tissue pattern (flat or overlapping), nuclear features (nucleoli, intranuclear inclusions, grooves), cytoplasmic qualities, and extracellular material. All cases were adenocarcinomas primary in the lung. Thirteen cases showed EGFR mutations in exons 18, 19, 20, or 21 of the tyrosine kinase domain. The 24 cases negative for the relevant mutation served as the control group. Tumors with EGFR mutations were statistically more likely to demonstrate a predominantly flat, monolayer architecture (P=0.04) with nuclear inclusions (P=0.014) and the absence of macronucleoli (P=0.001). The predominance of flat monolayers in conjunction with the absence of extracellular mucin and macronucleoli indicated the presence of EGFR mutations with a positive predictive value of 69% and a negative predictive value of 92%. All four cases with extracellular mucin were negative for the examined mutations. Some of the traditional cytomorphological features of bronchioloalveolar carcinoma, i.e., flat monolayers, intranuclear inclusions, and the absence of macronucleoli, statistically correlated with the presence of mutations within the tyrosine kinase region of EGFR. Cytomorphological features could serve as an adjunctive predictive marker of response to TKIs and possibly to other new therapies in development.
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%).