Literature DB >> 25264268

Glucose-lactate metabolic cooperation in cancer: insights from a spatial mathematical model and implications for targeted therapy.

Jessica B McGillen1, Catherine J Kelly2, Alicia Martínez-González3, Natasha K Martin4, Eamonn A Gaffney5, Philip K Maini5, Víctor M Pérez-García3.   

Abstract

A recent study has hypothesised a glucose-lactate metabolic symbiosis between adjacent hypoxic and oxygenated regions of a developing tumour, and proposed a treatment strategy to target this symbiosis. However, in vivo experimental support remains inconclusive. Here we develop a minimal spatial mathematical model of glucose-lactate metabolism to examine, in principle, whether metabolic symbiosis is plausible in human tumours, and to assess the potential impact of inhibiting it. We find that symbiosis is a robust feature of our model system-although on the length scale at which oxygen supply is diffusion-limited, its occurrence requires very high cellular metabolic activity-and that necrosis in the tumour core is reduced in the presence of symbiosis. Upon simulating therapeutic inhibition of lactate uptake, we predict that targeted treatment increases the extent of tissue oxygenation without increasing core necrosis. The oxygenation effect is correlated strongly with the extent of wild-type hypoxia and only weakly with wild-type symbiotic behaviour, and therefore may be promising for radiosensitisation of hypoxic, lactate-consuming tumours even if they do not exhibit a spatially well-defined symbiosis. Finally, we conduct in vitro experiments on the U87 glioblastoma cell line to facilitate preliminary speculation as to where highly malignant tumours might fall in our parameter space, and find that these experiments suggest a weakly symbiotic regime for U87 cells, thus raising the new question of what relationship might exist between symbiosis and tumour malignancy.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer metabolism; Multidimensional sensitivity analysis; Partial differential equations

Mesh:

Substances:

Year:  2014        PMID: 25264268     DOI: 10.1016/j.jtbi.2014.09.018

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  7 in total

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Authors:  Mahua Roy; Stacey D Finley
Journal:  PLoS Comput Biol       Date:  2019-06-11       Impact factor: 4.475

6.  A New Mathematical Model for Controlling Tumor Growth Based on Microenvironment Acidity and Oxygen Concentration.

Authors:  F Pourhasanzade; S H Sabzpoushan
Journal:  Biomed Res Int       Date:  2021-01-25       Impact factor: 3.411

7.  Peri-tumoral brain edema associated with glioblastoma correlates with tumor recurrence.

Authors:  Xingping Qin; Rui Liu; Farhana Akter; Lingxia Qin; Qiurong Xie; Yanfei Li; Haowen Qiao; Wen Zhao; Zhihong Jian; Renzhong Liu; Songlin Wu
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  7 in total

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