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Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics

PURPOSE: The aim of the project was to apply ultra-high-performance liquid chromatography–quadrupole-Orbitrap-high-resolution mass spectrometry for serum metabolite profiling of non-small-cell lung cancer (NSCLC). This Orbitrap-based methodology has been applied for a study of NSCLC potential marker...

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Autores principales: Klupczynska, Agnieszka, Dereziński, Paweł, Garrett, Timothy J., Rubio, Vanessa Y., Dyszkiewicz, Wojciech, Kasprzyk, Mariusz, Kokot, Zenon J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352735/
https://www.ncbi.nlm.nih.gov/pubmed/28168355
http://dx.doi.org/10.1007/s00432-017-2347-0
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author Klupczynska, Agnieszka
Dereziński, Paweł
Garrett, Timothy J.
Rubio, Vanessa Y.
Dyszkiewicz, Wojciech
Kasprzyk, Mariusz
Kokot, Zenon J.
author_facet Klupczynska, Agnieszka
Dereziński, Paweł
Garrett, Timothy J.
Rubio, Vanessa Y.
Dyszkiewicz, Wojciech
Kasprzyk, Mariusz
Kokot, Zenon J.
author_sort Klupczynska, Agnieszka
collection PubMed
description PURPOSE: The aim of the project was to apply ultra-high-performance liquid chromatography–quadrupole-Orbitrap-high-resolution mass spectrometry for serum metabolite profiling of non-small-cell lung cancer (NSCLC). This Orbitrap-based methodology has been applied for a study of NSCLC potential markers for the first time. METHODS: After extraction using protein precipitation, sera were separated on the ACE Excel 2 C18-PFP (100 × 2.1 mm, 2.0 µm) column using gradient elution and analyzed within the range of 70–1000 m/z. Only patients with early stage disease (stages IA–IIB) were included in the study, providing opportunity to find biomarkers for early lung cancer detection. The resulting metabolite profiles were subjected to univariate and multivariate statistical tests. RESULTS: 36 features were found significantly changed between NSCLC group and controls after FDR adjustment and 19 were identified using various metabolite databases (in-house library, HMDB, mzCloud). The study revealed a number of NSCLC biomarker candidates which belong to such compound classes as acylcarnitines, organic acids, and amino acids. Multivariate ROC curve built using 12 identified metabolites was characterized by AUC = 0.836 (0.722–0.946). There were no significant differences in the serum metabolite profiles between two most common histological types of lung cancer—adenocarcinoma and squamous cell carcinoma. CONCLUSIONS: Through identification of novel potential tumor markers, Orbitrap-based global metabolic profiling is a useful strategy in cancer research. Our study can accelerate development of new diagnostic and therapeutic strategies in NSCLC. The metabolites involved in discrimination between NSCLC patients and the control subjects should be further explored using a targeted approach. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00432-017-2347-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-53527352017-03-27 Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics Klupczynska, Agnieszka Dereziński, Paweł Garrett, Timothy J. Rubio, Vanessa Y. Dyszkiewicz, Wojciech Kasprzyk, Mariusz Kokot, Zenon J. J Cancer Res Clin Oncol Original Article – Cancer Research PURPOSE: The aim of the project was to apply ultra-high-performance liquid chromatography–quadrupole-Orbitrap-high-resolution mass spectrometry for serum metabolite profiling of non-small-cell lung cancer (NSCLC). This Orbitrap-based methodology has been applied for a study of NSCLC potential markers for the first time. METHODS: After extraction using protein precipitation, sera were separated on the ACE Excel 2 C18-PFP (100 × 2.1 mm, 2.0 µm) column using gradient elution and analyzed within the range of 70–1000 m/z. Only patients with early stage disease (stages IA–IIB) were included in the study, providing opportunity to find biomarkers for early lung cancer detection. The resulting metabolite profiles were subjected to univariate and multivariate statistical tests. RESULTS: 36 features were found significantly changed between NSCLC group and controls after FDR adjustment and 19 were identified using various metabolite databases (in-house library, HMDB, mzCloud). The study revealed a number of NSCLC biomarker candidates which belong to such compound classes as acylcarnitines, organic acids, and amino acids. Multivariate ROC curve built using 12 identified metabolites was characterized by AUC = 0.836 (0.722–0.946). There were no significant differences in the serum metabolite profiles between two most common histological types of lung cancer—adenocarcinoma and squamous cell carcinoma. CONCLUSIONS: Through identification of novel potential tumor markers, Orbitrap-based global metabolic profiling is a useful strategy in cancer research. Our study can accelerate development of new diagnostic and therapeutic strategies in NSCLC. The metabolites involved in discrimination between NSCLC patients and the control subjects should be further explored using a targeted approach. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00432-017-2347-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-02-06 2017 /pmc/articles/PMC5352735/ /pubmed/28168355 http://dx.doi.org/10.1007/s00432-017-2347-0 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article – Cancer Research
Klupczynska, Agnieszka
Dereziński, Paweł
Garrett, Timothy J.
Rubio, Vanessa Y.
Dyszkiewicz, Wojciech
Kasprzyk, Mariusz
Kokot, Zenon J.
Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics
title Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics
title_full Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics
title_fullStr Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics
title_full_unstemmed Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics
title_short Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics
title_sort study of early stage non-small-cell lung cancer using orbitrap-based global serum metabolomics
topic Original Article – Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352735/
https://www.ncbi.nlm.nih.gov/pubmed/28168355
http://dx.doi.org/10.1007/s00432-017-2347-0
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