Literature DB >> 29387978

Prognostic value of epidermal growth factor receptor mutations and histologic subtypes with lung adenocarcinoma.

Nozomu Motono1, Aika Funasaki2, Atsushi Sekimura2, Katsuo Usuda2, Hidetaka Uramoto2.   

Abstract

The epidermal growth factor receptor (EGFR) mutation status has become one of the most important factors in the treatment of non-small cell lung cancer. However, the relationship between EGFR mutation and the histologic subtype of lung adenocarcinoma remains to be fully elucidated. We examined the relationship between the predominant subtype of adenocarcinoma and the prognosis and investigated the correlation between a new subtype of adenocarcinoma and EGFR mutations. This study included 182 patients with adenocarcinoma who underwent complete resection. The rate of EGFR mutation-positive patients was significantly higher among female patients, never smokers, patients with small tumors (< 3 cm in size), patients with well-differentiated tumors, and patients with a pStage I classification. The rates of adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and lepidic-predominant subtype were high in male EGFR mutation-positive patients. The prevalence of the acinar and papillary-predominant subtypes was high among EGFR mutation-positive female patients, as was AIS, MIA, and the lepidic-predominant subtype. The progression-free survival (PFS) of the EGFR mutation-positive patients was significantly better than that of the EGFR mutation-negative patients (75.8 vs 67.1%, p = 0.03). However, the multivariate analysis of clinicopathologic and histologic factors did not reveal the prognostic impact of the EGFR mutation status on PFS. The overall survival (OS) of the EGFR mutation-positive patients was significantly better than that of the EGFR mutation-negative patients (93.7 vs 63.4%, p < 0.01). However, in the multivariate analysis the EGFR mutation status was not significantly associated with OS.

Entities:  

Keywords:  EGFR mutation; Histologic subtype; Lung adenocarcinoma; Prognosis

Mesh:

Substances:

Year:  2018        PMID: 29387978     DOI: 10.1007/s12032-018-1082-y

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


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7.  Tumor-based gene expression biomarkers to predict survival following curative intent resection for stage I lung adenocarcinoma.

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10.  Computed Tomography Morphological Classification of Lung Adenocarcinoma and Its Correlation with Epidermal Growth Factor Receptor Mutation Status: A Report of 1075 Cases.

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