title: Emergent properties of a computational model of tumour growth.
abstract: While there have been enormous advances in our understanding of the genetic drivers and molecular pathways involved in cancer in recent decades, there also remain key areas of dispute with respect to fundamental theories of cancer. The accumulation of vast new datasets from genomics and other fields, in addition to detailed descriptions of molecular pathways, cloud the issues and lead to ever greater complexity. One strategy in dealing with such complexity is to develop models to replicate salient features of the system and therefore to generate hypotheses which reflect on the real system. A simple tumour growth model is outlined which displays emergent behaviours that correspond to a number of clinically relevant phenomena including tumour growth, intra-tumour heterogeneity, growth arrest and accelerated repopulation following cytotoxic insult. Analysis of model data suggests that the processes of cell competition and apoptosis are key drivers of these emergent behaviours. Questions are raised as to the role of cell competition and cell death in physical cancer growth and the relevance that these have to cancer research in general is discussed.
authors.affiliation: The George Pantziarka TP53 Trust , London , United Kingdom.
authors.forename: Pan
authors.initials: P
authors.lastname: Pantziarka
keywords: Agent-based model; Cancer; Carcinogenesis; Computational model; Evolution; Genetic algorithm; Modelling; Somatic mutation theory; Tissue organisation field theory; Tumour growth