期刊
MOLECULAR METABOLISM
卷 54, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.molmet.2021.101389
关键词
Cancer; Energy metabolism; Glycolysis; Oxidative phosphorylation; Research design
资金
- Fondo de Investigaciones Sanitarias (FIS) [PI17-01489]
- Ministerio de Economia y Competitividad [RTC2019-006918-1]
- Ministerio de Educacion, Cultura y Deporte [FPU16/03198]
Aberrant cancer metabolism, characterized by a preference for various metabolites including aerobic glycolysis and glutaminolysis, challenges the traditional static metabolic profile. Metabolic plasticity, often overlooked in therapeutic strategies, is crucial for understanding cancer bioenergetics. Standardization of metabolic readouts can provide a comprehensive metabolic picture in cancer research.
Background: Aberrant metabolism is recognized as a hallmark of cancer, a pillar necessary for cellular proliferation. Regarding bioenergetics (ATP generation), most cancers display a preference not only toward aerobic glycolysis (Warburg effect) and glutaminolysis (mitochondrial substrate level-phosphorylation) but also toward other metabolites such as lactate, pyruvate, and fat-derived sources. These secondary metabolites can assist in proliferation but cannot fully cover ATP demands. Scope of review: The concept of a static metabolic profile is challenged by instances of heterogeneity and flexibility to meet fuel/anaplerotic demands. Although metabolic therapies are a promising tool to improve therapeutic outcomes, either via pharmacological targets or press-pulse interventions, metabolic plasticity is rarely considered. Lack of bioenergetic analysis in vitro and patient-derived models is hindering translational potential. Here, we review the bioenergetics of cancer and propose a simple analysis of major metabolic pathways, encompassing both affordable and advanced techniques. A comprehensive compendium of Seahorse XF bioenergetic measurements is presented for the first time. Major conclusions: Standardization of principal readouts might help researchers to collect a complete metabolic picture of cancer using the most appropriate methods depending on the sample of interest. (c) 2021 The Author(s). Published by Elsevier GmbH. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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