Energy Metabolism Behavior and Response to Microenvironmental Factors of the Experimental Cancer Cell Models Differ From That of Actual Human Tumors

能量代谢 癌症 癌细胞 能量(信号处理) 癌症研究 生物 物理 内分泌学 遗传学 量子力学
作者
Rafael Moreno‐Sánchez,Jorge Luis Vargas-Navarro,Joaquín Alberto Padilla-Flores,Diana Xochiquetzal Robledo‐Cadena,Juan Carlos Granados-Rivas,Rutt Taba,Anton Terasmaa,Giuseppe Leonardo Auditano,Tuuli Käämbre,Sara Rodríguez‐Enríquez
出处
期刊:Mini-reviews in Medicinal Chemistry [Bentham Science Publishers]
卷期号:25 被引量:2
标识
DOI:10.2174/0113895575322436240924101642
摘要

Abstract: Analysis of the biochemical differences in the energy metabolism among bi-dimensional (2D) and tri-dimensional (3D) cultured cancer cell models and actual human tumors was undertaken. In 2D cancer cells, the oxidative phosphorylation (OxPhos) fluxes range is 2.5-19 nmol O2/min/mg cellular protein. Hypoxia drastically decreased OxPhos flux by 2-3 times in 2D models, similar to what occurs in mature multicellular tumor spheroids (MCTS), a representative 3D cancer cell model. However, mitochondrial protein contents and enzyme activities were significantly different between both models. Moreover, glycolytic fluxes were also significantly different between 2D and MCTS. The glycolytic flux range in 2D models is 1-34 nmol lactate/min/mg cellular protein, whereas in MCTS the range of glycolysis fluxes is 60-80 nmol lactate/min/mg cellular. In addition, sensitivity to anticancer canonical and metabolic drugs was greater in MCTS than in 2D. Actual solid human tumor samples show lower (1.6-4.5 times) OxPhos fluxes compared to normoxic 2D cancer cell cultures. These observations indicate that tridimensional organization provides a unique microenvironment affecting tumor physiology, which has not been so far faithfully reproduced by the 2D environment. Thus, the analysis of the resemblances and differences among cancer cell models undertaken in the present study raises caution on the interpretation of results derived from 2D cultured cancer cells when they are extended to clinical settings. It also raises awareness about detecting which biological and environmental factors are missing in 2D and 3D cancer cell models to be able to reproduce the actual human tumor behavior.

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