A mathematical study of the influence of hypoxia and acidity on the evolutionary dynamics of cancer
Giada Fiandaca, Marcello Delitala, Tommaso Lorenzi

TL;DR
This paper develops a mathematical model to understand how hypoxia and acidity influence the evolution and heterogeneity of cancer cells within tumors, highlighting the role of environmental gradients and nonlinear interactions.
Contribution
It introduces a novel system of partial integro-differential equations modeling tumor microenvironment effects on cancer cell evolution, supported by numerical simulations with real data.
Findings
Tumor cell phenotypes vary with distance from blood vessels.
Environmental gradients promote intra-tumor heterogeneity.
Order of resistance development depends on environmental stressor interactions.
Abstract
Hypoxia and acidity act as environmental stressors promoting selection for cancer cells with a more aggressive phenotype. As a result, a deeper theoretical understanding of the spatio-temporal processes that drive the adaptation of tumour cells to hypoxic and acidic microenvironments may open up new avenues of research in oncology and cancer treatment. We present a mathematical model to study the influence of hypoxia and acidity on the evolutionary dynamics of cancer cells in vascularised tumours. The model is formulated as a system of partial integro-differential equations that describe the phenotypic evolution of cancer cells in response to dynamic variations in the spatial distribution of three abiotic factors that are key players in tumour metabolism: oxygen, glucose and lactate. The results of numerical simulations of a calibrated version of the model based on real data…
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