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Mathematical modeling of the metastatic process

J.G. Scott ; Philip Gerlee (Institutionen för matematiska vetenskaper, matematik) ; D. Basanta ; A.G. Fletcher ; P.K. Maini ; A.R.A. Anderson
Experimental Metastasis: Modeling and Analysis (2013)
[Kapitel]

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.



Denna post skapades 2016-05-10.
CPL Pubid: 236147

 

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Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematik (2005-2016)

Ämnesområden

Annan medicin och hälsovetenskap

Chalmers infrastruktur