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Cancer metabolites: promising biomarkers for cancer liquid biopsy
Cancer exerts a multitude of effects on metabolism, including the reprogramming of cellular metabolic pathways and alterations in metabolites that facilitate inappropriate proliferation of cancer cells and adaptation to the tumor microenvironment. There is a growing body of evidence suggesting that...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311880/ https://www.ncbi.nlm.nih.gov/pubmed/37391812 http://dx.doi.org/10.1186/s40364-023-00507-3 |
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author | Wang, Wenxiang Rong, Zhiwei Wang, Guangxi Hou, Yan Yang, Fan Qiu, Mantang |
author_facet | Wang, Wenxiang Rong, Zhiwei Wang, Guangxi Hou, Yan Yang, Fan Qiu, Mantang |
author_sort | Wang, Wenxiang |
collection | PubMed |
description | Cancer exerts a multitude of effects on metabolism, including the reprogramming of cellular metabolic pathways and alterations in metabolites that facilitate inappropriate proliferation of cancer cells and adaptation to the tumor microenvironment. There is a growing body of evidence suggesting that aberrant metabolites play pivotal roles in tumorigenesis and metastasis, and have the potential to serve as biomarkers for personalized cancer therapy. Importantly, high-throughput metabolomics detection techniques and machine learning approaches offer tremendous potential for clinical oncology by enabling the identification of cancer-specific metabolites. Emerging research indicates that circulating metabolites have great promise as noninvasive biomarkers for cancer detection. Therefore, this review summarizes reported abnormal cancer-related metabolites in the last decade and highlights the application of metabolomics in liquid biopsy, including detection specimens, technologies, methods, and challenges. The review provides insights into cancer metabolites as a promising tool for clinical applications. |
format | Online Article Text |
id | pubmed-10311880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103118802023-07-01 Cancer metabolites: promising biomarkers for cancer liquid biopsy Wang, Wenxiang Rong, Zhiwei Wang, Guangxi Hou, Yan Yang, Fan Qiu, Mantang Biomark Res Review Cancer exerts a multitude of effects on metabolism, including the reprogramming of cellular metabolic pathways and alterations in metabolites that facilitate inappropriate proliferation of cancer cells and adaptation to the tumor microenvironment. There is a growing body of evidence suggesting that aberrant metabolites play pivotal roles in tumorigenesis and metastasis, and have the potential to serve as biomarkers for personalized cancer therapy. Importantly, high-throughput metabolomics detection techniques and machine learning approaches offer tremendous potential for clinical oncology by enabling the identification of cancer-specific metabolites. Emerging research indicates that circulating metabolites have great promise as noninvasive biomarkers for cancer detection. Therefore, this review summarizes reported abnormal cancer-related metabolites in the last decade and highlights the application of metabolomics in liquid biopsy, including detection specimens, technologies, methods, and challenges. The review provides insights into cancer metabolites as a promising tool for clinical applications. BioMed Central 2023-06-30 /pmc/articles/PMC10311880/ /pubmed/37391812 http://dx.doi.org/10.1186/s40364-023-00507-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Wang, Wenxiang Rong, Zhiwei Wang, Guangxi Hou, Yan Yang, Fan Qiu, Mantang Cancer metabolites: promising biomarkers for cancer liquid biopsy |
title | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
title_full | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
title_fullStr | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
title_full_unstemmed | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
title_short | Cancer metabolites: promising biomarkers for cancer liquid biopsy |
title_sort | cancer metabolites: promising biomarkers for cancer liquid biopsy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311880/ https://www.ncbi.nlm.nih.gov/pubmed/37391812 http://dx.doi.org/10.1186/s40364-023-00507-3 |
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