کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3991109 1258759 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comprehensive Analysis of Epidermal Growth Factor Receptor Gene Status in Lung Adenocarcinoma
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی تومور شناسی
پیش نمایش صفحه اول مقاله
Comprehensive Analysis of Epidermal Growth Factor Receptor Gene Status in Lung Adenocarcinoma
چکیده انگلیسی

Introduction:The epidermal growth factor receptor (EGFR) gene status including tyrosine kinase domain somatic mutations, increased copy number, and protein overexpression are reported to be associated with response to EGFR tyrosine kinase inhibitors in patients with non-small cell lung cancer. The purpose of this study was to elucidate the prevalence of activated EGFR gene and the association between mutation, copy number, and protein overexpression.Patients and Methods:In a cohort of consecutive patients with lung adenocarcinoma, polymerase chain reaction and direct sequencing (n = 89) were conducted through exons 18 to 21. Fluorescence in situ hybridization (FISH) (n = 89) and single-nucleotide polymorphism (SNP) array 6.0 (n = 77) were used to detect the gene copy number. The protein expression of EGFR was detected by standard immunohistochemistry (IHC) (n = 89).Results:Fifty-nine (66.3%) patients harbored somatic mutations of EGFR in tyrosine kinase domain, 55.1% were positive by IHC and 44.9% were positive by FISH, and 66.2% showed gain of copy number according to SNP array 6.0. EGFR somatic mutations are more common in women, never smokers, and tumors with better differentiation. Increased copy number detected by both FISH and SNP array 6.0 analysis is significantly correlated with mutations of EGFR.Conclusions:The EGFR somatic mutation rate is significantly higher in Chinese patients with lung adenocarcinoma than western countries. Nevertheless, we found comparable FISH and IHC-positive rates between different ethnics. Considering that FISH may be affected by tumor heterogeneity and other factors, SNP array 6.0 analysis is a good alternative method to detect EGFR copy number variations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Thoracic Oncology - Volume 6, Issue 6, June 2011, Pages 1016–1021
نویسندگان
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