The Mathematical Institute, University of Oxford, Eprints Archive

Mathematical modeling of the metastatic process

Scott, J G and Gerlee, P and Basanta, D and Fletcher, A G and Maini, P. K. and Anderson, A R A (2013) Mathematical modeling of the metastatic process. In: Experimental Metastasis: Modeling and Analysis. Springer, Dordrecht, pp. 189-208.

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Abstract

Mathematical modeling in cancer has been growing in popularity and impact since its inception in 1932. The first theoretical mathematical modeling in cancer research was focused on understanding tumor growth laws and has grown to include the competition between healthy and normal tissue, carcinogenesis, therapy and metastasis. It is the latter topic, metastasis, on which we will focus this short review, specifically discussing various computational and mathematical models of different portions of the metastatic process, including: the emergence of the metastatic phenotype, the timing and size distribution of metastases, the factors that influence the dormancy of micrometastases and patterns of spread from a given primary tumor.

Item Type:Book Section
Subjects:A - C > Biology and other natural sciences
Research Groups:Centre for Mathematical Biology
ID Code:1817
Deposited By: Philip Maini
Deposited On:05 Mar 2014 10:28
Last Modified:29 May 2015 19:30

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