Mathematical modeling of the metastatic process
Kapitel i bok, 2013

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.


J.G. Scott

University of Oxford

H. Lee Moffitt Cancer Center and Research Institute

Philip Gerlee

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematik

D. Basanta

H. Lee Moffitt Cancer Center and Research Institute

A.G. Fletcher

University of Oxford

P.K. Maini

University of Oxford

A. R. A. Anderson

H. Lee Moffitt Cancer Center and Research Institute

Experimental Metastasis: Modeling and Analysis



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