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Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis
Non-small cell lung cancer (NSCLC) is a major cause of cancer-related deaths around the world. Targeting the sensitized epidermal growth factor receptor (EGFR) caused by gene mutation through the tyrosine kinase inhibitor is an effective therapeutic strategy for NSCLC. Hence, the individualized ther...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051770/ https://www.ncbi.nlm.nih.gov/pubmed/36985054 http://dx.doi.org/10.3390/mi14030647 |
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author | Liu, Xiaonan Zhang, Jiaxing Hua, Kai |
author_facet | Liu, Xiaonan Zhang, Jiaxing Hua, Kai |
author_sort | Liu, Xiaonan |
collection | PubMed |
description | Non-small cell lung cancer (NSCLC) is a major cause of cancer-related deaths around the world. Targeting the sensitized epidermal growth factor receptor (EGFR) caused by gene mutation through the tyrosine kinase inhibitor is an effective therapeutic strategy for NSCLC. Hence, the individualized therapeutic strategy has highlighted the demand for a simple, fast, and intelligent strategy for the genetic decoding of EGFR to cater to the popularization of precision medicine. In this research, a one-pot assay for EGFR identification is established by combining a loop-mediated isothermal amplification and amplification refractory mutation system. By optimizing the component and condition of the nucleic acid amplification system, a sensitive and specific distinguishability is achieved for tracing target variant (60 copies, 0.1%) identification under a strong interferential background within 40 min. Moreover, complex operation and time-consuming data processing, as well as the aerosol contamination, are avoided owing to the whole process for intelligent genetic decoding being performed in a sealed tube. As a demonstration, L858R, the primary point mutation for the sensitization of EGFR, has been accurately decoded using this assay with highly heterogeneous cancerous tissue. In addition, this method can be easily extended for other genetic information decoding using a tailor-made primer set. Thus, we propose that this straightforward strategy may serve as a promising tool for NSCLC diagnosis in clinical practice. |
format | Online Article Text |
id | pubmed-10051770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100517702023-03-30 Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis Liu, Xiaonan Zhang, Jiaxing Hua, Kai Micromachines (Basel) Article Non-small cell lung cancer (NSCLC) is a major cause of cancer-related deaths around the world. Targeting the sensitized epidermal growth factor receptor (EGFR) caused by gene mutation through the tyrosine kinase inhibitor is an effective therapeutic strategy for NSCLC. Hence, the individualized therapeutic strategy has highlighted the demand for a simple, fast, and intelligent strategy for the genetic decoding of EGFR to cater to the popularization of precision medicine. In this research, a one-pot assay for EGFR identification is established by combining a loop-mediated isothermal amplification and amplification refractory mutation system. By optimizing the component and condition of the nucleic acid amplification system, a sensitive and specific distinguishability is achieved for tracing target variant (60 copies, 0.1%) identification under a strong interferential background within 40 min. Moreover, complex operation and time-consuming data processing, as well as the aerosol contamination, are avoided owing to the whole process for intelligent genetic decoding being performed in a sealed tube. As a demonstration, L858R, the primary point mutation for the sensitization of EGFR, has been accurately decoded using this assay with highly heterogeneous cancerous tissue. In addition, this method can be easily extended for other genetic information decoding using a tailor-made primer set. Thus, we propose that this straightforward strategy may serve as a promising tool for NSCLC diagnosis in clinical practice. MDPI 2023-03-12 /pmc/articles/PMC10051770/ /pubmed/36985054 http://dx.doi.org/10.3390/mi14030647 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Xiaonan Zhang, Jiaxing Hua, Kai Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis |
title | Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis |
title_full | Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis |
title_fullStr | Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis |
title_full_unstemmed | Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis |
title_short | Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis |
title_sort | intelligent genetic decoding system based on nucleic acid isothermal amplification for non-small cell lung cancer diagnosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051770/ https://www.ncbi.nlm.nih.gov/pubmed/36985054 http://dx.doi.org/10.3390/mi14030647 |
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