Mathematical modeling of the metastatic process
Book chapter, 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.
Author
J.G. Scott
University of Oxford
H. Lee Moffitt Cancer Center and Research Institute
Philip Gerlee
University of Gothenburg
Chalmers, Mathematical Sciences, Mathematics
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
189-208
9789400778351 (ISBN)
Subject Categories
Other Medical and Health Sciences
DOI
10.1007/978-94-007-7835-1_9
ISBN
9789400778351