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Recent Metabolomics Analysis in Tumor Metabolism Reprogramming

Metabolic reprogramming has been suggested as a hallmark of cancer progression. Metabolomic analysis of various metabolic profiles represents a powerful and technically feasible method to monitor dynamic changes in tumor metabolism and response to treatment over the course of the disease. To date, n...

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Autores principales: Han, Jingjing, Li, Qian, Chen, Yu, Yang, Yonglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660977/
https://www.ncbi.nlm.nih.gov/pubmed/34901157
http://dx.doi.org/10.3389/fmolb.2021.763902
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author Han, Jingjing
Li, Qian
Chen, Yu
Yang, Yonglin
author_facet Han, Jingjing
Li, Qian
Chen, Yu
Yang, Yonglin
author_sort Han, Jingjing
collection PubMed
description Metabolic reprogramming has been suggested as a hallmark of cancer progression. Metabolomic analysis of various metabolic profiles represents a powerful and technically feasible method to monitor dynamic changes in tumor metabolism and response to treatment over the course of the disease. To date, numerous original studies have highlighted the application of metabolomics to various aspects of tumor metabolic reprogramming research. In this review, we summarize how metabolomics techniques can help understand the effects that changes in the metabolic profile of the tumor microenvironment on the three major metabolic pathways of tumors. Various non-invasive biofluids are available that produce accurate and useful clinical information on tumor metabolism to identify early biomarkers of tumor development. Similarly, metabolomics can predict individual metabolic differences in response to tumor drugs, assess drug efficacy, and monitor drug resistance. On this basis, we also discuss the application of stable isotope tracer technology as a method for the study of tumor metabolism, which enables the tracking of metabolite activity in the body and deep metabolic pathways. We summarize the multifaceted application of metabolomics in cancer metabolic reprogramming to reveal its important role in cancer development and treatment.
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spelling pubmed-86609772021-12-11 Recent Metabolomics Analysis in Tumor Metabolism Reprogramming Han, Jingjing Li, Qian Chen, Yu Yang, Yonglin Front Mol Biosci Molecular Biosciences Metabolic reprogramming has been suggested as a hallmark of cancer progression. Metabolomic analysis of various metabolic profiles represents a powerful and technically feasible method to monitor dynamic changes in tumor metabolism and response to treatment over the course of the disease. To date, numerous original studies have highlighted the application of metabolomics to various aspects of tumor metabolic reprogramming research. In this review, we summarize how metabolomics techniques can help understand the effects that changes in the metabolic profile of the tumor microenvironment on the three major metabolic pathways of tumors. Various non-invasive biofluids are available that produce accurate and useful clinical information on tumor metabolism to identify early biomarkers of tumor development. Similarly, metabolomics can predict individual metabolic differences in response to tumor drugs, assess drug efficacy, and monitor drug resistance. On this basis, we also discuss the application of stable isotope tracer technology as a method for the study of tumor metabolism, which enables the tracking of metabolite activity in the body and deep metabolic pathways. We summarize the multifaceted application of metabolomics in cancer metabolic reprogramming to reveal its important role in cancer development and treatment. Frontiers Media S.A. 2021-11-25 /pmc/articles/PMC8660977/ /pubmed/34901157 http://dx.doi.org/10.3389/fmolb.2021.763902 Text en Copyright © 2021 Han, Li, Chen and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Han, Jingjing
Li, Qian
Chen, Yu
Yang, Yonglin
Recent Metabolomics Analysis in Tumor Metabolism Reprogramming
title Recent Metabolomics Analysis in Tumor Metabolism Reprogramming
title_full Recent Metabolomics Analysis in Tumor Metabolism Reprogramming
title_fullStr Recent Metabolomics Analysis in Tumor Metabolism Reprogramming
title_full_unstemmed Recent Metabolomics Analysis in Tumor Metabolism Reprogramming
title_short Recent Metabolomics Analysis in Tumor Metabolism Reprogramming
title_sort recent metabolomics analysis in tumor metabolism reprogramming
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660977/
https://www.ncbi.nlm.nih.gov/pubmed/34901157
http://dx.doi.org/10.3389/fmolb.2021.763902
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