ArticleBulletin of mathematical biology2021
A Mathematical Study of the Influence of Hypoxia and Acidity on the Evolutionary Dynamics of Cancer.
Article in Bulletin of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 3 citations in OpenAlex.
- Smart drug delivery systems for immunotherapeutic agents: focus on biological/biogenic platform-based intelligent delivery in cancer immunotherapy.Drug delivery and translational research · 2026Review
- A Laminar Microfluidic Platform for Probing the Effects of Spatially Heterogeneous Drug Distributions.Micromachines · 2026Article
- A Phenotype-Structured PDE Framework for Investigating the Role of Hypoxic Memory on Tumor Invasion under Cyclic Hypoxia.Bulletin of mathematical biology · 2026Article
- A phenotype-structured PDE framework for investigating the role of hypoxic memory on tumor invasion under cyclic hypoxia.bioRxiv : the preprint server for biology · 2025Article
- Phenotype structuring in collective cell migration: a tutorial of mathematical models and methods.Journal of mathematical biology · 2025Review
- The Importance of Hypoxia-Related to Hemoglobin Concentration in Breast Cancer.Cell biochemistry and biophysics · 2024Review
- Evolutionary dynamics of glucose-deprived cancer cells: insights from experimentally informed mathematical modelling.Journal of the Royal Society, Interface · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 recapitulate the eco-evolutionary spatial dynamics of tumour cells and their adaptation to hypoxic and acidic microenvironments. Moreover, such results demonstrate how nonlinear interactions between tumour cells and abiotic factors can lead to the formation of environmental gradients which select for cells with phenotypic characteristics that vary with distance from intra-tumour blood vessels, thus promoting the emergence of intra-tumour phenotypic heterogeneity. Finally, our theoretical findings reconcile the conclusions of earlier studies by showing that the order in which resistance to hypoxia and resistance to acidity arise in tumours depend on the ways in which oxygen and lactate act as environmental stressors in the evolutionary dynamics of cancer cells.
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