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Identification of salivary metabolomic biomarkers for oral cancer screening

The objective of this study was to explore salivary metabolite biomarkers by profiling both saliva and tumor tissue samples for oral cancer screening. Paired tumor and control tissues were obtained from oral cancer patients and whole unstimulated saliva samples were collected from patients and healt...

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Autores principales: Ishikawa, Shigeo, Sugimoto, Masahiro, Kitabatake, Kenichiro, Sugano, Ayako, Nakamura, Marina, Kaneko, Miku, Ota, Sana, Hiwatari, Kana, Enomoto, Ayame, Soga, Tomoyoshi, Tomita, Masaru, Iino, Mitsuyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990923/
https://www.ncbi.nlm.nih.gov/pubmed/27539254
http://dx.doi.org/10.1038/srep31520
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author Ishikawa, Shigeo
Sugimoto, Masahiro
Kitabatake, Kenichiro
Sugano, Ayako
Nakamura, Marina
Kaneko, Miku
Ota, Sana
Hiwatari, Kana
Enomoto, Ayame
Soga, Tomoyoshi
Tomita, Masaru
Iino, Mitsuyoshi
author_facet Ishikawa, Shigeo
Sugimoto, Masahiro
Kitabatake, Kenichiro
Sugano, Ayako
Nakamura, Marina
Kaneko, Miku
Ota, Sana
Hiwatari, Kana
Enomoto, Ayame
Soga, Tomoyoshi
Tomita, Masaru
Iino, Mitsuyoshi
author_sort Ishikawa, Shigeo
collection PubMed
description The objective of this study was to explore salivary metabolite biomarkers by profiling both saliva and tumor tissue samples for oral cancer screening. Paired tumor and control tissues were obtained from oral cancer patients and whole unstimulated saliva samples were collected from patients and healthy controls. The comprehensive metabolomic analysis for profiling hydrophilic metabolites was conducted using capillary electrophoresis time-of-flight mass spectrometry. In total, 85 and 45 metabolites showed significant differences between tumor and matched control samples, and between salivary samples from oral cancer and controls, respectively (P < 0.05 correlated by false discovery rate); 17 metabolites showed consistent differences in both saliva and tissue-based comparisons. Of these, a combination of only two biomarkers yielded a high area under receiver operating characteristic curves (0.827; 95% confidence interval, 0.726–0.928, P < 0.0001) for discriminating oral cancers from controls. Various validation tests confirmed its high generalization ability. The demonstrated approach, integrating both saliva and tumor tissue metabolomics, helps eliminate pseudo-molecules that are coincidentally different between oral cancers and controls. These combined salivary metabolites could be the basis of a clinically feasible method of non-invasive oral cancer screening.
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spelling pubmed-49909232016-08-30 Identification of salivary metabolomic biomarkers for oral cancer screening Ishikawa, Shigeo Sugimoto, Masahiro Kitabatake, Kenichiro Sugano, Ayako Nakamura, Marina Kaneko, Miku Ota, Sana Hiwatari, Kana Enomoto, Ayame Soga, Tomoyoshi Tomita, Masaru Iino, Mitsuyoshi Sci Rep Article The objective of this study was to explore salivary metabolite biomarkers by profiling both saliva and tumor tissue samples for oral cancer screening. Paired tumor and control tissues were obtained from oral cancer patients and whole unstimulated saliva samples were collected from patients and healthy controls. The comprehensive metabolomic analysis for profiling hydrophilic metabolites was conducted using capillary electrophoresis time-of-flight mass spectrometry. In total, 85 and 45 metabolites showed significant differences between tumor and matched control samples, and between salivary samples from oral cancer and controls, respectively (P < 0.05 correlated by false discovery rate); 17 metabolites showed consistent differences in both saliva and tissue-based comparisons. Of these, a combination of only two biomarkers yielded a high area under receiver operating characteristic curves (0.827; 95% confidence interval, 0.726–0.928, P < 0.0001) for discriminating oral cancers from controls. Various validation tests confirmed its high generalization ability. The demonstrated approach, integrating both saliva and tumor tissue metabolomics, helps eliminate pseudo-molecules that are coincidentally different between oral cancers and controls. These combined salivary metabolites could be the basis of a clinically feasible method of non-invasive oral cancer screening. Nature Publishing Group 2016-08-19 /pmc/articles/PMC4990923/ /pubmed/27539254 http://dx.doi.org/10.1038/srep31520 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ishikawa, Shigeo
Sugimoto, Masahiro
Kitabatake, Kenichiro
Sugano, Ayako
Nakamura, Marina
Kaneko, Miku
Ota, Sana
Hiwatari, Kana
Enomoto, Ayame
Soga, Tomoyoshi
Tomita, Masaru
Iino, Mitsuyoshi
Identification of salivary metabolomic biomarkers for oral cancer screening
title Identification of salivary metabolomic biomarkers for oral cancer screening
title_full Identification of salivary metabolomic biomarkers for oral cancer screening
title_fullStr Identification of salivary metabolomic biomarkers for oral cancer screening
title_full_unstemmed Identification of salivary metabolomic biomarkers for oral cancer screening
title_short Identification of salivary metabolomic biomarkers for oral cancer screening
title_sort identification of salivary metabolomic biomarkers for oral cancer screening
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990923/
https://www.ncbi.nlm.nih.gov/pubmed/27539254
http://dx.doi.org/10.1038/srep31520
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