کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10026604 | 1590650 | 2005 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Rapid Polymerase Chain Reaction-Based Detection of Epidermal Growth Factor Receptor Gene Mutations in Lung Adenocarcinomas
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موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
انفورماتیک سلامت
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چکیده انگلیسی
Somatic mutations in the tyrosine kinase domain of the epidermal growth factor receptor (EGFR) gene are present in lung adenocarcinomas that respond to the EGFR inhibitors gefitinib and erlotinib. Two types of mutations account for â¼90% of mutated cases: short in-frame deletions in exon 19 and a specific point mutation in exon 21 at codon 858 (L858R). Screening for these mutations has been based mainly on direct sequencing. We report here the development and validation of polymerase chain reaction-based assays for these two predominant types of EGFR mutations. The assay for exon 19 mutations is based on length analysis of fluorescently labeled polymerase chain reaction products, and the assay for the exon 21 L858R mutation is based on a new Sau96I restriction site created by this mutation. Using serial dilutions of DNAs from lung cancer cell lines harboring either exon 19 or 21 mutations, we detected these mutations in the presence of up to â¼90% normal DNA. In a test set of 39 lung cancer samples, direct sequencing detected mutations in 25 cases whereas our assays were positive in 29 cases, including 4 cases in which mutations were not apparent by sequencing. These assays offer higher sensitivity and ease of scoring and eliminate the need for sequencing, providing a robust and accessible approach to the rapid identification of most lung cancer patients likely to respond to EGFR inhibitors.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Journal of Molecular Diagnostics - Volume 7, Issue 3, August 2005, Pages 396-403
Journal: The Journal of Molecular Diagnostics - Volume 7, Issue 3, August 2005, Pages 396-403
نویسندگان
Qiulu Pan, William Pao, Marc Ladanyi,