Literature DB >> 27565930

Epidermal growth factor receptor mutations in adenocarcinoma in situ and minimally invasive adenocarcinoma detected using mutation-specific monoclonal antibodies.

Haruhiko Nakamura1, Hirotaka Koizumi2, Hiroyuki Kimura3, Hideki Marushima3, Hisashi Saji3, Masayuki Takagi2.   

Abstract

OBJECTIVES: Epidermal growth factor receptor (EGFR) mutation rates in adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) were studied using both DNA analysis and mutation-specific immunohistochemistry.
MATERIALS AND METHODS: The peptide nucleic acid-locked nucleic acid polymerase chain reaction clamp method was used to detect mutations in exons 18, 19, 20, and 21 of the EGFR gene in DNA samples extracted from paraffin-embedded tissue sections. Simultaneously, immunohistochemical analysis with two EGFR mutation-specific monoclonal antibodies was used to identify proteins resulting from an in-frame deletion in exon 19 (E746_A750del) and a point mutation replacing leucine with arginine at codon 858 of exon 21 (L858R).
RESULTS: Forty-three tumors (22 AIS and 21 MIA) were examined. The EGFR mutation rate in AIS detected by DNA analysis was 27.3% (L858R, 5/22; exon 19 deletion,1/22), whereas that detected in MIA was 42.9% (L858R,4/21; exon 19 deletion,5/21). Mutations detected by immunohistochemical analysis included 22.7% (L858R, 4/22; exon 19 deletion, 1/22) in AIS and 42.9% (L858R, 4/21; exon 19 deletion, 5/21) in MIA. Although some results were contradictory, concordant results were obtained using both assays in 38 of 43 cases (88.4%).
CONCLUSION: DNA and immunohistochemical analyses revealed similar EGFR mutation rates in both MIA and AIS, suggesting that mutation-specific monoclonal antibodies are useful to confirm DNA assay results.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Early adenocarcinoma; Epidermal growth factor receptor mutation; Immunohistochemistry; Lung cancer; Subtype

Mesh:

Substances:

Year:  2016        PMID: 27565930     DOI: 10.1016/j.lungcan.2016.07.009

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  7 in total

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Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-09-30

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Authors:  Wang-Yu Zhu; Hai-Feng Li; Ke-Xin Fang; Bing-Jie Zhang; Shi-Quan Zhou; Yong-Kui Zhang; Han-Bo Le; Xiao-Fei Hu
Journal:  Dis Markers       Date:  2018-04-24       Impact factor: 3.434

4.  A computerized tomography-based radiomic model for assessing the invasiveness of lung adenocarcinoma manifesting as ground-glass opacity nodules.

Authors:  Minghui Zhu; Zhen Yang; Miaoyu Wang; Wei Zhao; Qiang Zhu; Wenjia Shi; Hang Yu; Zhixin Liang; Liangan Chen
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5.  Structure-based classification of EGFR mutations in operable pre-invasive and invasive non-small cell lung cancer: a cross-sectional study.

Authors:  Tao Wang; Jun Cao; Qi Song; Li Wang; Yuanyuan Xiong; Rongrong Chen
Journal:  J Thorac Dis       Date:  2022-09       Impact factor: 3.005

6.  Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules.

Authors:  Xia Zou; Feng Yao; Fang Yang; Fang Zhang; Zhijue Xu; Jingjing Shi; Atsushi Kuno; Heng Zhao; Yan Zhang
Journal:  Molecules       Date:  2019-12-20       Impact factor: 4.411

7.  Evaluation of dynamic image progression of minimally invasive and preinvasive lung adenocarcinomas.

Authors:  Tianxiang Chen; Xiaocheng Zhang; Alessio Campisi; Angelo Paolo Ciarrocchi; Andrea Dell'Amore; Liwei Song; Yunhai Yang; Chengshui Chen; Qingquan Luo
Journal:  Ann Transl Med       Date:  2021-05
  7 in total

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