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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Frontiers Media S.A.
2021
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oai:doaj.org-article:3c2412cdc0b942059bfe13e27551bad82021-12-01T03:04:12ZRecent Metabolomics Analysis in Tumor Metabolism Reprogramming2296-889X10.3389/fmolb.2021.763902https://doaj.org/article/3c2412cdc0b942059bfe13e27551bad82021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmolb.2021.763902/fullhttps://doaj.org/toc/2296-889XMetabolic 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.Jingjing HanQian LiYu ChenYonglin YangFrontiers Media S.A.articlemetabolomicsmetabolic reprogrammingbiomarkersstable isotope resolved metabolomicsdrug resistanceBiology (General)QH301-705.5ENFrontiers in Molecular Biosciences, Vol 8 (2021) |
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metabolomics metabolic reprogramming biomarkers stable isotope resolved metabolomics drug resistance Biology (General) QH301-705.5 |
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metabolomics metabolic reprogramming biomarkers stable isotope resolved metabolomics drug resistance Biology (General) QH301-705.5 Jingjing Han Qian Li Yu Chen Yonglin Yang Recent Metabolomics Analysis in Tumor Metabolism Reprogramming |
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. |
format |
article |
author |
Jingjing Han Qian Li Yu Chen Yonglin Yang |
author_facet |
Jingjing Han Qian Li Yu Chen Yonglin Yang |
author_sort |
Jingjing Han |
title |
Recent Metabolomics Analysis in Tumor Metabolism Reprogramming |
title_short |
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_sort |
recent metabolomics analysis in tumor metabolism reprogramming |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/3c2412cdc0b942059bfe13e27551bad8 |
work_keys_str_mv |
AT jingjinghan recentmetabolomicsanalysisintumormetabolismreprogramming AT qianli recentmetabolomicsanalysisintumormetabolismreprogramming AT yuchen recentmetabolomicsanalysisintumormetabolismreprogramming AT yonglinyang recentmetabolomicsanalysisintumormetabolismreprogramming |
_version_ |
1718405896772517888 |