Evolutionary dynamics of glucose-deprived cancer cells: insights from experimentally-informed mathematical modelling
Luis Almeida, J\'er\^ome Denis, Nathalie Ferrand, Tommaso Lorenzi,, Antonin Prunet, Mich\'ele Sabbah, Chiara Villa

TL;DR
This study combines experimental data and mathematical modeling to understand how cancer cells adapt to glucose deprivation by increasing MCT1 expression, revealing mechanisms of metabolic reprogramming and evolutionary adaptation.
Contribution
It introduces a novel integrated experimental and mathematical framework to analyze cancer cell adaptation to glucose scarcity, focusing on MCT1 expression dynamics.
Findings
MCT1 expression increases enable rapid adaptation to glucose deprivation.
Environmental signals induce changes in MCT1 expression facilitating survival.
Epigenetic fluctuations in MCT1 create substrate for natural selection.
Abstract
Glucose is a primary energy source for cancer cells. Several lines of evidence support the idea that monocarboxylate transporters, such as MCT1, elicit metabolic reprogramming of cancer cells in glucose-poor environments, allowing them to reuse lactate, a byproduct of glucose metabolism, as an alternative energy source with serious consequences for disease progression. We employ a synergistic experimental and mathematical modelling approach to explore the evolutionary processes at the root of cancer cell adaptation to glucose deprivation, with particular focus on the mechanisms underlying the increase in MCT1 expression observed in glucose-deprived aggressive cancer cells. Data from in vitro experiments on breast cancer cells are used to inform and calibrate a mathematical model that comprises a partial integro-differential equation for the dynamics of a population of cancer cells…
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Taxonomy
TopicsMathematical Biology Tumor Growth · Cancer, Hypoxia, and Metabolism · Bioinformatics and Genomic Networks
