Literature DB >> 24811487

A cautionary lesson on the use of targeted methods for EGFR mutation analysis: a case report.

K Walsh1, W A Wallace2, R Butler3, M J Mackean4, D J Harrison2, D Stirling5, A Oniscu1.   

Abstract

Epidermal growth factor receptor (EGFR) mutation analysis is recommended for lung cancer patients prior to the prescription of first-line EGFR tyrosine kinase inhibitors in order to predict response to treatment. There are many methods available to identify mutations in the EGFR gene; a large number of clinical laboratories use the therascreen EGFR RGQ PCR kit (Qiagen). We report a case where this kit detected an exon 19 deletion, predicting sensitivity to tyrosine kinase inhibitors (TKIs), which on further analysis was found to be a 2 bp indel (c.2239_2240delinsCC, p.(Leu747Pro)). Two of four published cases with this mutation were found to be associated with resistance to EGFR TKI. The sample was also tested using two other commercial kits, one of which indicated a deletion. This is a rare mutation making the erroneous detection of a deletion unlikely; however, it is important that clinical laboratories are aware of the potential failings of two commercial kits for EGFR mutation analysis. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Egfr; Lung Cancer; Molecular Pathology

Mesh:

Substances:

Year:  2014        PMID: 24811487     DOI: 10.1136/jclinpath-2014-202313

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  4 in total

1.  Picoliter-Droplet Digital Polymerase Chain Reaction-Based Analysis of Cell-Free Plasma DNA to Assess EGFR Mutations in Lung Adenocarcinoma That Confer Resistance to Tyrosine-Kinase Inhibitors.

Authors:  Yoshitaka Seki; Yutaka Fujiwara; Takashi Kohno; Erina Takai; Kuniko Sunami; Yasushi Goto; Hidehito Horinouchi; Shintaro Kanda; Hiroshi Nokihara; Shun-ichi Watanabe; Hitoshi Ichikawa; Noboru Yamamoto; Kazuyoshi Kuwano; Yuichiro Ohe
Journal:  Oncologist       Date:  2016-01-14

2.  Droplet digital PCR-based EGFR mutation detection with an internal quality control index to determine the quality of DNA.

Authors:  Sung-Su Kim; Hyun-Jeung Choi; Jin Ju Kim; M Sun Kim; In-Seon Lee; Bohyun Byun; Lina Jia; Myung Ryurl Oh; Youngho Moon; Sarah Park; Joon-Seok Choi; Seoung Wan Chae; Byung-Ho Nam; Jin-Soo Kim; Jihun Kim; Byung Soh Min; Jae Seok Lee; Jae-Kyung Won; Soo Youn Cho; Yoon-La Choi; Young Kee Shin
Journal:  Sci Rep       Date:  2018-01-11       Impact factor: 4.379

3.  Real-time PCR and targeted next-generation sequencing in the detection of low level EGFR mutations: Instructive case analyses.

Authors:  Yu-Wei Cheng; Catherine Stefaniuk; Maureen A Jakubowski
Journal:  Respir Med Case Rep       Date:  2019-07-10

4.  Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity.

Authors:  Takahiro Yoshizawa; Ken Uchibori; Mitsugu Araki; Shigeyuki Matsumoto; Biao Ma; Ryo Kanada; Yosuke Seto; Tomoko Oh-Hara; Sumie Koike; Ryo Ariyasu; Satoru Kitazono; Hironori Ninomiya; Kengo Takeuchi; Noriko Yanagitani; Satoshi Takagi; Kazuma Kishi; Naoya Fujita; Yasushi Okuno; Makoto Nishio; Ryohei Katayama
Journal:  NPJ Precis Oncol       Date:  2021-04-16
  4 in total

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