Tissue and Plasma-Based Highly Sensitive Blocker Displacement Amplicon Nanopore Sequencing for EGFR Mutations in Lung Cancer.

Blocker displacement amplification EGFR mutation Nanopore sequencing Non-small cell lung cancer

Journal

Cancer research and treatment
ISSN: 2005-9256
Titre abrégé: Cancer Res Treat
Pays: Korea (South)
ID NLM: 101155137

Informations de publication

Date de publication:
20 Nov 2023
Historique:
received: 25 07 2023
accepted: 20 11 2023
medline: 21 11 2023
pubmed: 21 11 2023
entrez: 21 11 2023
Statut: aheadofprint

Résumé

The epidermal growth factor receptor (EGFR) mutation is a widely prevalent oncogene driver in non-small cell lung cancer (NSCLC) in East Asia. The detection of EGFR mutations is a standard biomarker test performed routinely in patients with NSCLC for the selection of targeted therapy. Here, our objective was to develop a portable new technique for detecting EGFR (19Del, T790M and L858R) mutations based on Nanopore sequencing. The assay employed a blocker displacement amplification (BDA)-based PCR technique combined with Nanopore sequencing to detect EGFR mutations. Mutant and wild-type EGFR clones were generated from DNA from H1650 (19Del heterozygous) and H1975 (T790M and L858R heterozygous) lung cancer cell lines. Then, they were mixed to assess the performance of this technique for detecting low variant allele frequencies (VAFs). Subsequently, formalin-fixed, paraffin-embedded (FFPE) tissue and cell-free DNA (cfDNA) from patients with NSCLC were used for clinical validation. The assay can detect low VAF at 0.5% mutant mixed in wild-type EGFR. Using FFPE DNA, the concordance rates of EGFR 19Del, T790M and L858R mutations between our method and Cobas real-time PCR were 98.46%, 100%, and 100%, respectively. For cfDNA, the concordance rates of EGFR 19Del, T790M and L858R mutations between our method and ddPCR were 94.74%, 100%, and 100%, respectively. The BDA amplicon Nanopore sequencing is a highly accurate and sensitive method for the detection of EGFR mutations in clinical specimens.

Identifiants

pubmed: 37986562
pii: crt.2023.1108
doi: 10.4143/crt.2023.1108
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Patinya Akkhasutthikun (P)

Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Center of Excellence in Systems Microbiology, Bangkok, Thailand.

Pornchai Kaewsapsak (P)

Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Center of Excellence in Systems Microbiology, Bangkok, Thailand.

Pattaraporn Nimsamer (P)

Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Pavit Klomkliew (P)

Center of Excellence in Systems Microbiology, Bangkok, Thailand.

Suthida Visedthorn (S)

Center of Excellence in Systems Microbiology, Bangkok, Thailand.

Pragwalai Chanchaem (P)

Center of Excellence in Systems Microbiology, Bangkok, Thailand.

Chinachote Teerapakpinyo (C)

Chula GenePRO Center, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Sunchai Payungporn (S)

Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Center of Excellence in Systems Microbiology, Bangkok, Thailand.

Sutima Luangdilok (S)

Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Classifications MeSH