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A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients

The most common type of lung cancer is non-small cell lung cancer (NSCLC), which is frequently characterized by a mutation in the epidermal growth factor receptor (EGFR). Determining the presence of an EGFR mutation in lung cancer is important, as it determines the type of treatment that a patients...

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Autores principales: Pamungkas, Aryo D., Medriano, Carl A., Sim, Eunjung, Lee, Sungyong, Park, Youngja H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436150/
https://www.ncbi.nlm.nih.gov/pubmed/28487968
http://dx.doi.org/10.3892/mmr.2017.6530
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author Pamungkas, Aryo D.
Medriano, Carl A.
Sim, Eunjung
Lee, Sungyong
Park, Youngja H.
author_facet Pamungkas, Aryo D.
Medriano, Carl A.
Sim, Eunjung
Lee, Sungyong
Park, Youngja H.
author_sort Pamungkas, Aryo D.
collection PubMed
description The most common type of lung cancer is non-small cell lung cancer (NSCLC), which is frequently characterized by a mutation in the epidermal growth factor receptor (EGFR). Determining the presence of an EGFR mutation in lung cancer is important, as it determines the type of treatment that a patients will receive. Therefore, the aim of the present study was to apply high-resolution metabolomics (HRM) using liquid chromatography-mass spectrometry to identify significant compounds in human plasma samples obtained from South Korean NSCLC patients, as potential biomarkers for providing early detection and diagnosis of minimally-invasive NSCLC. The metabolic differences between lung cancer patients without EGFR mutations were compared with patients harboring EGFR mutations. Univariate analysis was performed, with a false discovery rate of q=0.05, in order to identify significant metabolites between the two groups. In addition, hierarchical clustering analysis was performed to discriminate between the metabolic profiles of the two groups. Furthermore, the significant metabolites were identified and mapped using Mummichog software, in order to generate a potential metabolic network model. Using metabolome-wide association studies, metabolic alterations were identified. Linoleic acid [303.23 m/z, (M+Na)(+)], 5-methyl tetrahydrofolate [231.10 m/z, (M+2H)(+)] and N-succinyl-L-glutamate-5 semialdehyde [254.06 m/z, (M+Na)(+)], were observed to be elevated in patients harboring EGFR mutations, whereas tetradecanoyl carnitine [394.29 m/z, (M+Na)(+)] was observed to be reduced. This suggests that these compounds may be affected by the EGFR mutation. In conclusion, the present study identified four potential biomarkers in patients with EGFR mutations, using HRM combined with pathway analysis. These results may facilitate the development of novel diagnostic tools for EGFR mutation detection in patients with lung cancer.
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spelling pubmed-54361502017-05-19 A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients Pamungkas, Aryo D. Medriano, Carl A. Sim, Eunjung Lee, Sungyong Park, Youngja H. Mol Med Rep Articles The most common type of lung cancer is non-small cell lung cancer (NSCLC), which is frequently characterized by a mutation in the epidermal growth factor receptor (EGFR). Determining the presence of an EGFR mutation in lung cancer is important, as it determines the type of treatment that a patients will receive. Therefore, the aim of the present study was to apply high-resolution metabolomics (HRM) using liquid chromatography-mass spectrometry to identify significant compounds in human plasma samples obtained from South Korean NSCLC patients, as potential biomarkers for providing early detection and diagnosis of minimally-invasive NSCLC. The metabolic differences between lung cancer patients without EGFR mutations were compared with patients harboring EGFR mutations. Univariate analysis was performed, with a false discovery rate of q=0.05, in order to identify significant metabolites between the two groups. In addition, hierarchical clustering analysis was performed to discriminate between the metabolic profiles of the two groups. Furthermore, the significant metabolites were identified and mapped using Mummichog software, in order to generate a potential metabolic network model. Using metabolome-wide association studies, metabolic alterations were identified. Linoleic acid [303.23 m/z, (M+Na)(+)], 5-methyl tetrahydrofolate [231.10 m/z, (M+2H)(+)] and N-succinyl-L-glutamate-5 semialdehyde [254.06 m/z, (M+Na)(+)], were observed to be elevated in patients harboring EGFR mutations, whereas tetradecanoyl carnitine [394.29 m/z, (M+Na)(+)] was observed to be reduced. This suggests that these compounds may be affected by the EGFR mutation. In conclusion, the present study identified four potential biomarkers in patients with EGFR mutations, using HRM combined with pathway analysis. These results may facilitate the development of novel diagnostic tools for EGFR mutation detection in patients with lung cancer. D.A. Spandidos 2017-06 2017-04-28 /pmc/articles/PMC5436150/ /pubmed/28487968 http://dx.doi.org/10.3892/mmr.2017.6530 Text en Copyright: © Pamungkas et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Pamungkas, Aryo D.
Medriano, Carl A.
Sim, Eunjung
Lee, Sungyong
Park, Youngja H.
A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients
title A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients
title_full A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients
title_fullStr A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients
title_full_unstemmed A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients
title_short A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients
title_sort pilot study identifying a potential plasma biomarker for determining egfr mutations in exons 19 or 21 in lung cancer patients
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436150/
https://www.ncbi.nlm.nih.gov/pubmed/28487968
http://dx.doi.org/10.3892/mmr.2017.6530
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