Next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review

Lung cancer is the leading cause of cancer-related death. Next-generation metabolomics is becoming a powerful emerging technology for studying the systems biology and chemistry of health and disease. This mini review summarized the main platforms of next-generation metabolomics and its main applicat...

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Detalles Bibliográficos
Autores principales: Yu, Li, Li, Kefeng, Zhang, Xiaoye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777812/
https://www.ncbi.nlm.nih.gov/pubmed/29383200
http://dx.doi.org/10.18632/oncotarget.22404
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author Yu, Li
Li, Kefeng
Zhang, Xiaoye
author_facet Yu, Li
Li, Kefeng
Zhang, Xiaoye
author_sort Yu, Li
collection PubMed
description Lung cancer is the leading cause of cancer-related death. Next-generation metabolomics is becoming a powerful emerging technology for studying the systems biology and chemistry of health and disease. This mini review summarized the main platforms of next-generation metabolomics and its main applications in lung cancer including early diagnosis, pathogenesis, classifications and precision medicine. The period covers between 2009 and August, 2017. The major issues and future directions of metabolomics in lung cancer research and clinical applications were also discussed.
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spelling pubmed-57778122018-01-30 Next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review Yu, Li Li, Kefeng Zhang, Xiaoye Oncotarget Review Lung cancer is the leading cause of cancer-related death. Next-generation metabolomics is becoming a powerful emerging technology for studying the systems biology and chemistry of health and disease. This mini review summarized the main platforms of next-generation metabolomics and its main applications in lung cancer including early diagnosis, pathogenesis, classifications and precision medicine. The period covers between 2009 and August, 2017. The major issues and future directions of metabolomics in lung cancer research and clinical applications were also discussed. Impact Journals LLC 2017-11-11 /pmc/articles/PMC5777812/ /pubmed/29383200 http://dx.doi.org/10.18632/oncotarget.22404 Text en Copyright: © 2017 Yu et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Review
Yu, Li
Li, Kefeng
Zhang, Xiaoye
Next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review
title Next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review
title_full Next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review
title_fullStr Next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review
title_full_unstemmed Next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review
title_short Next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review
title_sort next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777812/
https://www.ncbi.nlm.nih.gov/pubmed/29383200
http://dx.doi.org/10.18632/oncotarget.22404
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