Mathematical modelling of avascular-tumour growth
Abstract
A system of nonlinear partial differential equations is proposed as a model for the growth of an avascular-tumour spheroid. The model assumes a continuum of cells in two states, living or dead, and, depending on the concentration of a generic nutrient, the live cells may reproduce (expanding the tumour) or die (causing contraction). These volume changes resulting from cell birth and death generate a velocity field within the spheroid. Numerical solutions of the model reveal that after a period of time the variables settle to a constant profile propagating at a fixed speed. The travelling-wave limit is formulated and analytical solutions are found for a particular case. Numerical results for more general parameters compare well with these analytical solutions. Asymptotic techniques are applied to the physically relevant case of a small death rate, revealing two phases of growth retardation from the initial exponential growth, the first of which is due to nutrient-diffusion limitations and the second to contraction during necrosis. In this limit, maximal and "linear' phase growth speeds can be evaluated in terms of the model parameters.
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Small tumors (less than ~1-2 mm3 in volume) are generally avascular and rely on diffusion from nearby vessels for oxygen and nutrients.
“Small tumors (less than ~1–2 mm3 in volume) are generally avascular and rely on diffusion from nearby vessels for oxygen and nutrients [48,49].”
From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [48]
The plateau phase reflects the onset of metabolic stress and reduced proliferative capacity, closely mirroring the dormancy observed in early-stage solid tumors.
“This plateau reflects the onset of metabolic stress and reduced proliferative capacity, closely mirroring the dormancy observed in early-stage solid tumors [48,182,221].”
From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [48]
The avascular tumor growth model has 6 free parameters.
“In summary, this model has 6 free parameters, represented by a 6-dimensional array .”
From When the Optimal Is Not the Best: Parameter Estimation in Complex Biological Models (2010) · cites this paper as [18]
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References 36 · Cited by 375
- Authors
- Ward, J.
- Affiliations
- University of Nottingham (GB)
- Corresponding author
- Ward, J.
- ORCID
- Ward, J.
- Venue
- Mathematical Medicine and Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-03-01
- Volume
- 14
- Issue
- 1
- Pages
- 39-69
- ISSN
- 1477-8599 (ISSN-L)
- 1477-8602
- OpenAlex
- W2121467746
- Cited by
- 375
- References
- 36
- Citations by year
- 2026: 9 · 2025: 5 · 2024: 17 · 2023: 17 · 2022: 23 · 2021: 21 · 2020: 19 · 2019: 24 · 2018: 13 · 2017: 5 · 2016: 15 · 2015: 6 · 2014: 7 · 2013: 16 · 2012: 17
- FWCI
- 20.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mathematical Medicine and Biology A Journal of the IMA (publishedVersion)
- PubMed (publishedVersion)
- OpenGrey (Institut de l'Information Scientifique et Technique) (submittedVersion)
- Funders
- Nuffield Foundation
- Engineering and Physical Sciences Research Council
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Keywords
- avascular tumor growth, nonlinear partial differential equations, cell proliferation and death, nutrient diffusion, traveling waves, asymptotic analysis, necrosis, growth retardation, growth rate
- MeSH terms
- Animals, Cell Division, Humans, Kinetics, Mathematics, Models, Biological, Cell Death, Spheroids, Cellular
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