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Review
. 2010 Jan;134(1):66-72.
doi: 10.5858/2008-0586-RAR1.1.

Is the epidermal growth factor receptor status in lung cancers reflected in clinicopathologic features?

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Free article
Review

Is the epidermal growth factor receptor status in lung cancers reflected in clinicopathologic features?

Kentaro Inamura et al. Arch Pathol Lab Med. 2010 Jan.
Free article

Abstract

Context: Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors are molecular-targeted drugs that are innovatively effective for non-small cell lung carcinomas with EGFR mutations. Epidermal growth factor receptor is a transmembrane receptor forming dimers on ligand binding. These then stimulate signals by activating receptor autophosphorylation through tyrosine kinase activity. Autophosphorylation triggers intracellular pathways facilitating malignant conversion. The most clinically advanced EGFR inhibition strategies include small-molecule inhibition of the intracellular tyrosine kinase domain (gefitinib and erlotinib) and monoclonal antibody-mediated blockade of the extracellular ligand-binding domain (cetuximab). Lung cancers with EGFR mutations are prevalent among patients who are female, of Asian ethnicity, and nonsmokers; thus, they can obtain benefit from EGFR tyrosine kinase inhibitors.

Objective: To survey histopathologic findings and examine correlations with EGFR mutations. We mainly focused on component cell types (hobnail, columnar, and polygonal) and presence or absence of bronchioloalveolar carcinoma elements and a micropapillary pattern. Although EGFR mutations can be detected by various methods, including polymerase chain reaction-Invader assay or direct sequencing, these are inconvenient.

Data sources: Review of the published literature.

Conclusion: Detailed pathologic examination showed significant genotype-phenotype correlations between EGFR mutations and presence of a bronchioloalveolar carcinoma component, a micropapillary pattern, and the hobnail cell type. We conclude that these characteristic histologic features are good predictors of EGFR mutations, and patients with these features might be good candidates for and could benefit from therapy with EGFR tyrosine kinase inhibitors.

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