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When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective
Resistance to drug treatment is a critical barrier in cancer therapy. There is an unmet need to explore cancer hallmarks that can be targeted to overcome this resistance for therapeutic gain. Over time, metabolic reprogramming has been recognised as one hallmark that can be used to prevent therapeut...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854130/ https://www.ncbi.nlm.nih.gov/pubmed/36686803 http://dx.doi.org/10.3389/fonc.2022.1054233 |
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author | Zhang, Zhiqiang Bao, Chaohui Jiang, Lu Wang, Shan Wang, Kankan Lu, Chang Fang, Hai |
author_facet | Zhang, Zhiqiang Bao, Chaohui Jiang, Lu Wang, Shan Wang, Kankan Lu, Chang Fang, Hai |
author_sort | Zhang, Zhiqiang |
collection | PubMed |
description | Resistance to drug treatment is a critical barrier in cancer therapy. There is an unmet need to explore cancer hallmarks that can be targeted to overcome this resistance for therapeutic gain. Over time, metabolic reprogramming has been recognised as one hallmark that can be used to prevent therapeutic resistance. With the advent of metabolomics, targeting metabolic alterations in cancer cells and host patients represents an emerging therapeutic strategy for overcoming cancer drug resistance. Driven by technological and methodological advances in mass spectrometry imaging, spatial metabolomics involves the profiling of all the metabolites (metabolomics) so that the spatial information is captured bona fide within the sample. Spatial metabolomics offers an opportunity to demonstrate the drug-resistant tumor profile with metabolic heterogeneity, and also poses a data-mining challenge to reveal meaningful insights from high-dimensional spatial information. In this review, we discuss the latest progress, with the focus on currently available bulk, single-cell and spatial metabolomics technologies and their successful applications in pre-clinical and translational studies on cancer drug resistance. We provide a summary of metabolic mechanisms underlying cancer drug resistance from different aspects; these include the Warburg effect, altered amino acid/lipid/drug metabolism, generation of drug-resistant cancer stem cells, and immunosuppressive metabolism. Furthermore, we propose solutions describing how to overcome cancer drug resistance; these include early detection during cancer initiation, monitoring of clinical drug response, novel anticancer drug and target metabolism, immunotherapy, and the emergence of spatial metabolomics. We conclude by describing the perspectives on how spatial omics approaches (integrating spatial metabolomics) could be further developed to improve the management of drug resistance in cancer patients. |
format | Online Article Text |
id | pubmed-9854130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98541302023-01-21 When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective Zhang, Zhiqiang Bao, Chaohui Jiang, Lu Wang, Shan Wang, Kankan Lu, Chang Fang, Hai Front Oncol Oncology Resistance to drug treatment is a critical barrier in cancer therapy. There is an unmet need to explore cancer hallmarks that can be targeted to overcome this resistance for therapeutic gain. Over time, metabolic reprogramming has been recognised as one hallmark that can be used to prevent therapeutic resistance. With the advent of metabolomics, targeting metabolic alterations in cancer cells and host patients represents an emerging therapeutic strategy for overcoming cancer drug resistance. Driven by technological and methodological advances in mass spectrometry imaging, spatial metabolomics involves the profiling of all the metabolites (metabolomics) so that the spatial information is captured bona fide within the sample. Spatial metabolomics offers an opportunity to demonstrate the drug-resistant tumor profile with metabolic heterogeneity, and also poses a data-mining challenge to reveal meaningful insights from high-dimensional spatial information. In this review, we discuss the latest progress, with the focus on currently available bulk, single-cell and spatial metabolomics technologies and their successful applications in pre-clinical and translational studies on cancer drug resistance. We provide a summary of metabolic mechanisms underlying cancer drug resistance from different aspects; these include the Warburg effect, altered amino acid/lipid/drug metabolism, generation of drug-resistant cancer stem cells, and immunosuppressive metabolism. Furthermore, we propose solutions describing how to overcome cancer drug resistance; these include early detection during cancer initiation, monitoring of clinical drug response, novel anticancer drug and target metabolism, immunotherapy, and the emergence of spatial metabolomics. We conclude by describing the perspectives on how spatial omics approaches (integrating spatial metabolomics) could be further developed to improve the management of drug resistance in cancer patients. Frontiers Media S.A. 2023-01-06 /pmc/articles/PMC9854130/ /pubmed/36686803 http://dx.doi.org/10.3389/fonc.2022.1054233 Text en Copyright © 2023 Zhang, Bao, Jiang, Wang, Wang, Lu and Fang 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 | Oncology Zhang, Zhiqiang Bao, Chaohui Jiang, Lu Wang, Shan Wang, Kankan Lu, Chang Fang, Hai When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective |
title | When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective |
title_full | When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective |
title_fullStr | When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective |
title_full_unstemmed | When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective |
title_short | When cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): Progress, potential, and perspective |
title_sort | when cancer drug resistance meets metabolomics (bulk, single-cell and/or spatial): progress, potential, and perspective |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854130/ https://www.ncbi.nlm.nih.gov/pubmed/36686803 http://dx.doi.org/10.3389/fonc.2022.1054233 |
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