The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A hybrid mathematical model of solid tumour invasion: the importance of cell adhesion
Abstract
In this paper we present a hybrid mathematical model of the invasion of healthy tissue by a solid tumour. In particular we consider early vascular growth, just after angiogenesis has occurred. We examine how the geometry of the growing tumour is affected by tumour cell heterogeneity caused by genetic mutations. As the tumour grows, mutations occur leading to a heterogeneous tumour cell population with some cells having a greater ability to migrate, proliferate or degrade the surrounding tissue. All of these cell properties are closely controlled by cell-cell and cell-matrix interactions and as such the physical geometry of the whole tumour will be dependent on these individual cell interactions. The hybrid model we develop focuses on four key variables implicated in the invasion process: tumour cells, host tissue (extracellular matrix), matrix-degradative enzymes and oxygen. The model is considered to be hybrid since the latter three variables are continuous (i.e. concentrations) and the tumour cells are discrete (i.e. individuals). With this hybrid model we examine how individual-based cell interactions (with one another and the matrix) can affect the tumour shape and discuss which of these interactions is perhaps most crucial in influencing the tumour's final structure.
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Cites
SELF-REGULATION OF GROWTH IN THREE DIMENSIONS
Folkman, J., & Hochberg, M. (1973) · The Journal of Experimental Medicine · doi:10.1084/jem.138.4.745 · Cited by 829
Analysis of growth of multicellular tumour spheroids by mathematical models.
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Cited by
A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity
Waclaw, B., Bozic, I., Pittman, M. E., Hruban, R. H., Vogelstein, B., & Nowak, M. A. (2015) · Nature · doi:10.1038/nature14971 · Cited by 486
Dissecting cancer through mathematics: From the cell to the animal model
Byrne, H. M. (2010) · Nature reviews. Cancer · doi:10.1038/nrc2808 · Cited by 442
ON THE FOUNDATIONS OF CANCER MODELLING: SELECTED TOPICS, SPECULATIONS, AND PERSPECTIVES
BELLOMO, N., LI, N. K., & MAINI, P. K. (2008) · Mathematical Models and Methods in Applied Sciences · doi:10.1142/s0218202508002796 · Cited by 420
Multiscale modelling and nonlinear simulation of vascular tumour growth
Macklin, P., McDougall, S., Anderson, A. R. A., Chaplain, M. A. J., Cristini, V., & Lowengrub, J. (2009) · Journal of Mathematical Biology · doi:10.1007/s00285-008-0216-9 · Cited by 363
Self-citationCHAPLAIN, M. A. J., & LOLAS, G. (2005) · Mathematical Models and Methods in Applied Sciences · doi:10.1142/s0218202505000947 · Cited by 323
Metadata
- Authors
- Anderson, A. R. A.
- Venue
- Mathematical Medicine and Biology: A Journal of the IMA
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-06-01
- Volume
- 22
- Issue
- 2
- Pages
- 163-186
- ISSN
- 1477-8599 (ISSN-L)
- 1477-8602
- OpenAlex
- W2045484383
- Cited by
- 574
- References
- 2
- FWCI
- 30.39
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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