Fluorometric Detection of Low-Abundance EGFR Exon 19 Deletion Mutation Using Tandem Gene Amplification.


Journal

Journal of microbiology and biotechnology
ISSN: 1738-8872
Titre abrégé: J Microbiol Biotechnol
Pays: Korea (South)
ID NLM: 9431852

Informations de publication

Date de publication:
28 May 2020
Historique:
received: 06 04 2020
accepted: 23 04 2020
entrez: 3 6 2020
pubmed: 3 6 2020
medline: 23 1 2021
Statut: ppublish

Résumé

Epidermal growth factor receptor (EGFR) mutations are not only genetic markers for diagnosis but also biomarkers of clinical-response against tyrosine kinase inhibitors (TKIs) in non-small cell lung cancer (NSCLC). Among the EGFR mutations, the in-frame deletion mutation in EGFR exon 19 kinase domain (EGFR exon 19-del) is the most frequent mutation, accounting for about 45% of EGFR mutations in NSCLCs. Development of sensitive method for detecting the EGFR mutation is highly required to make a better screening for drug-response in the treatment of NSCLC patients. Here, we developed a fluorometric tandem gene amplification assay for sensitive detection of low-abundance EGFR exon 19-del mutant genomic DNA. The method consists of pre-amplification with PCR, thermal cycling of ligation by

Identifiants

pubmed: 32482931
pii: jmb.2004.04010
doi: 10.4014/jmb.2004.04010
pmc: PMC9728277
doi:

Substances chimiques

Benzothiazoles 0
Fluorescent Dyes 0
thioflavin T 2390-54-7
EGFR protein, human EC 2.7.10.1
ErbB Receptors EC 2.7.10.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

662-667

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Auteurs

Dong-Min Kim (DM)

Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea.

Shichen Zhang (S)

Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea.

Minhee Kim (M)

Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea.

Dong-Eun Kim (DE)

Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea.

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Classifications MeSH