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A Stochastic Model of Glioblastoma Invasion

Citation:

Stein, A. M. ; Vader, D. A. ; Sander, L. M. ; Weitz, D. A. A Stochastic Model of Glioblastoma Invasion. In Mathematical Modeling of Biological Systems, Vol I: Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis; Birkhauser Boston, 2007; Vol. 31, pp. 217-224. Copy at http://www.tinyurl.com/yyw2qo7d
stein2007.pdf21.47 MB

Abstract:

Glioblastoma is the most malignant form of brain cancer. It is extremely invasive; the mechanisms that govern invasion are not well understood. To better understand the process of invasion, we conducted an in vitro experiment in which a 3D tumor spheroid is implanted into a collagen gel. The paths of individual invasive cells were tracked. These cells were modeled as radially biased, persistent random walkers. The radial velocity bias was found to be 19.6 mu m/hr.

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Last updated on 04/22/2021