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Metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: Predict before protect

Malignant melanoma is widely acknowledged as the most lethal skin malignancy. The metabolic reprogramming in melanoma leads to alterations in glycolysis and oxidative phosphorylation (OXPHOS), forming a hypoxic, glucose-deficient and acidic tumor microenvironment which inhibits the function of immun...

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Autores principales: Zhang, Xinyue, Tai, Zongguang, Miao, Fengze, Huang, Hao, Zhu, Quangang, Bao, Leilei, Chen, Zhongjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813867/
https://www.ncbi.nlm.nih.gov/pubmed/36620597
http://dx.doi.org/10.3389/fonc.2022.1046102
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author Zhang, Xinyue
Tai, Zongguang
Miao, Fengze
Huang, Hao
Zhu, Quangang
Bao, Leilei
Chen, Zhongjian
author_facet Zhang, Xinyue
Tai, Zongguang
Miao, Fengze
Huang, Hao
Zhu, Quangang
Bao, Leilei
Chen, Zhongjian
author_sort Zhang, Xinyue
collection PubMed
description Malignant melanoma is widely acknowledged as the most lethal skin malignancy. The metabolic reprogramming in melanoma leads to alterations in glycolysis and oxidative phosphorylation (OXPHOS), forming a hypoxic, glucose-deficient and acidic tumor microenvironment which inhibits the function of immune cells, resulting in a low response rate to immunotherapy. Therefore, improving the tumor microenvironment by regulating the metabolism can be used to improve the efficacy of immunotherapy. However, the tumor microenvironment (TME) and the metabolism of malignant melanoma are highly heterogeneous. Therefore, understanding and predicting how melanoma regulates metabolism is important to improve the local immune microenvironment of the tumor, and metabolism regulators are expected to increase treatment efficacy in combination with immunotherapy. This article reviews the energy metabolism in melanoma and its regulation and prediction, the integration of immunotherapy and metabolism regulators, and provides a comprehensive overview of future research focal points in this field and their potential application in clinical treatment.
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spelling pubmed-98138672023-01-06 Metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: Predict before protect Zhang, Xinyue Tai, Zongguang Miao, Fengze Huang, Hao Zhu, Quangang Bao, Leilei Chen, Zhongjian Front Oncol Oncology Malignant melanoma is widely acknowledged as the most lethal skin malignancy. The metabolic reprogramming in melanoma leads to alterations in glycolysis and oxidative phosphorylation (OXPHOS), forming a hypoxic, glucose-deficient and acidic tumor microenvironment which inhibits the function of immune cells, resulting in a low response rate to immunotherapy. Therefore, improving the tumor microenvironment by regulating the metabolism can be used to improve the efficacy of immunotherapy. However, the tumor microenvironment (TME) and the metabolism of malignant melanoma are highly heterogeneous. Therefore, understanding and predicting how melanoma regulates metabolism is important to improve the local immune microenvironment of the tumor, and metabolism regulators are expected to increase treatment efficacy in combination with immunotherapy. This article reviews the energy metabolism in melanoma and its regulation and prediction, the integration of immunotherapy and metabolism regulators, and provides a comprehensive overview of future research focal points in this field and their potential application in clinical treatment. Frontiers Media S.A. 2022-12-22 /pmc/articles/PMC9813867/ /pubmed/36620597 http://dx.doi.org/10.3389/fonc.2022.1046102 Text en Copyright © 2022 Zhang, Tai, Miao, Huang, Zhu, Bao and Chen 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, Xinyue
Tai, Zongguang
Miao, Fengze
Huang, Hao
Zhu, Quangang
Bao, Leilei
Chen, Zhongjian
Metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: Predict before protect
title Metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: Predict before protect
title_full Metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: Predict before protect
title_fullStr Metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: Predict before protect
title_full_unstemmed Metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: Predict before protect
title_short Metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: Predict before protect
title_sort metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: predict before protect
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813867/
https://www.ncbi.nlm.nih.gov/pubmed/36620597
http://dx.doi.org/10.3389/fonc.2022.1046102
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