ArticleInternational journal of molecular sciences2016
A Novel Technique to Detect EGFR Mutations in Lung Cancer.
Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 32 citations in OpenAlex.
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- A multiplexed, allele-specific recombinase polymerase amplification assay with lateral flow readout for sickle cell disease detection.Lab on a chip · 2024Article
- Development and Visualization Improvement for the Rapid Detection of Decapod Iridescent Virus 1 (DIV1) inViruses · 2022Article
- Development of a Rapid and Efficient RPA-CRISPR/Cas12a Assay forFrontiers in microbiology · 2022Article
- Protein or ribonucleoprotein-mediated blocking of recombinase polymerase amplification enables the discrimination of nucleotide and epigenetic differences between cell populations.Communications biology · 2021Article
- Rapid and ultrasensitive detection of circulating human papillomavirus E7 cell-free DNA as a cervical cancer biomarker.Experimental biology and medicine (Maywood, N.J.) · 2021Article
- Bushmeat Species Identification: Recombinase Polymerase Amplification (RPA) Combined with Lateral Flow (LF) Strip for Identification of Formosan Reeves' Muntjac (Animals : an open access journal from MDPI · 2021Article
- Article
- Direct detection of methicillin-resistant in Staphylococcus spp. in positive blood culture by isothermal recombinase polymerase amplification combined with lateral flow dipstick assay.World journal of microbiology & biotechnology · 2020Article
- A duplex probe-directed recombinase amplification assay for detection of single nucleotide polymorphisms on 8q24 associated with prostate cancer.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020Article
- Development of a Directly Visualized Recombinase Polymerase Amplification-SYBR Green I Method for the Rapid Detection of African Swine Fever Virus.Frontiers in microbiology · 2020Article
- Naked eye detection of the Mycobacterium tuberculosis complex by recombinase polymerase amplification-SYBR green I assays.Journal of clinical laboratory analysis · 2019Article
- Recombinase polymerase amplification: Basics, applications and recent advances.Trends in analytical chemistry : TRAC · 2018Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epidermal growth factor receptor (EGFR) gene mutations occur in multiple human cancers; therefore, the detection of EGFR mutations could lead to early cancer diagnosis. This study describes a novel EGFR mutation detection technique. Compared to direct DNA sequencing detection methods, this method is based on allele-specific amplification (ASA), recombinase polymerase amplification (RPA), peptide nucleic acid (PNA), and SYBR Green I (SYBR), referred to as the AS-RPA-PNA-SYBR (ARPS) system. The principle of this technique is based on three continuous steps: ASA or ASA combined with PNA to prevent non-target sequence amplification (even single nucleotide polymorphisms, SNPs), the rapid amplification advantage of RPA, and appropriate SYBR Green I detection (the samples harboring EGFR mutations show a green signal). Using this method, the EGFR 19Del(2) mutation was detected in 5 min, while the EGFR L858R mutation was detected in 10 min. In this study, the detection of EGFR mutations in clinical samples using the ARPS system was compatible with that determined by polymerase chain reaction (PCR) and DNA sequencing methods. Thus, this newly developed methodology that uses the ARPS system with appropriate primer sets is a rapid, reliable, and practical way to assess EGFR mutations in clinical samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.