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Bulletin of Mathematical Biology
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A Multiscale Mathematical Model of Tumour Invasive Growth

A multiscale mathematical model of tumour invasive growth
Authors: Peng, Lu; Trucu, Dumitru; Lin, Ping; Thompson, Alastair; Chaplain, Mark A. J.;

A Multiscale Mathematical Model of Tumour Invasive Growth

Abstract

Known as one of the hallmarks of cancer [30], cancer cell invasion of human body tissue is a complicated spatio-temporal multiscale process which enables a localised solid tumour to transform into a systemic, metastatic and fatal disease. This process explores and takes advantage of the reciprocal relation that solid tumours establish with the extracellular matrix (ECM) components and other multiple distinct cell types from the surrounding microenvironment. Through the secretion of various proteolytic enzymes such as matrix metalloproteinases (MMP) or the urokinase plasminogen activator (uPA), the cancer cell population alters the configuration of the surrounding ECM composition and overcomes the physical barriers to ultimately achieve local cancer spread into the surrounding tissue. The active interplay between the tissue-scale tumour dynamics and the molecular mechanics of the involved proteolytic enzymes at the cell-scale underlines the biologically multiscale character of invasion, and raises the challenge of modelling this process with an appropriate multiscale approach. In this paper, we present a new two-scale moving boundary model of cancer invasion that explores the tissue scale tumour dynamics in conjunction with the molecular dynamics of the urokinase plasminogen activation system. Building on the multiscale moving boundary method proposed in [58], the modelling that we propose here allows us to study the changes in tissue scale tumour morphology caused by the cell-scale uPA micro-dynamics occurring along the invasive edge of the tumour. Our computational simulation results demonstrate a range of heterogeneous dynamics which are qualitatively similar to the invasive growth patterns observed in a number of different types of cancer, such as the tumour infiltrative growth patterns discussed in [33].

Country
United Kingdom
Keywords

QH301 Biology, NDAS, Cancer invasion, Dynamical Systems (math.DS), uPA system, Models, Biological, 510, RC0254, Multiscale modelling, QH301, SDG 3 - Good Health and Well-being, Medical applications (general), Tumor Microenvironment, FOS: Mathematics, Humans, Computer Simulation, Neoplasm Invasiveness, QA Mathematics, Fibrinolysin, Mathematics - Dynamical Systems, QA, Quantitative Biology - Populations and Evolution, Tissues and Organs (q-bio.TO), RC0254 Neoplasms. Tumors. Oncology (including Cancer), Populations and Evolution (q-bio.PE), Quantitative Biology - Tissues and Organs, Mathematical Concepts, 540, Urokinase-Type Plasminogen Activator, Extracellular Matrix, FOS: Biological sciences, multiscale modelling, cancer invasion, Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
46
Top 10%
Top 10%
Top 10%
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bronze
Related to Research communities
Cancer Research