Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-8102
Lloyd, B A; Szczerba, D; Rudin, M; Székely, G (2008). A computational framework for modelling solid tumour growth. Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences, 366(1879):3301-3318.
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The biology of cancer is a complex interplay of many underlying processes, taking place at different scales both in space and time. A variety of theoretical models have been developed, which enable one to study certain components of the cancerous growth process. However, most previous approaches only focus on specific aspects of tumour development, largely ignoring the influence of the evolving tumour environment. In this paper, we present an integrative framework to simulate tumour growth, including those model components that are considered to be of major importance. We start by addressing issues at the tissue level, where the phenomena are modelled as continuum partial differential equations. We extend this model with relevant components at the cellular or even sub-cellular level in a vertical fashion. We present an implementation of this framework, covering the major processes and treat the mechanical deformation due to growth, the biochemical response to hypoxia, blood flow, oxygenation and the explicit development of a vascular system in a coupled way. The results demonstrate the feasibility of the approach and its applicability to in silico studies of the influence of different treatment strategies (like the usage of novel anti-cancer drugs) for more effective therapy design.
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||04 Faculty of Medicine > Institute of Biomedical Engineering|
610 Medicine & health
|Deposited On:||16 Dec 2008 08:36|
|Last Modified:||27 Nov 2013 21:59|
|Publisher:||The Royal Society|
|Citations:||Web of Science®. Times Cited: 11|
Scopus®. Citation Count: 13
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