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Emergence of invasive behavior in cancer is life-threatening, yet ill-defined due to its multifactorial nature. We present a multiscale mathematical model of cancer invasion, which considers cellular and microenvironmental factors simultaneously and interactively. Unexpectedly, the model simulations predict that harsh tumor microenvironment conditions (e.g., hypoxia, heterogenous extracellular matrix) exert a dramatic selective force on the tumor, which grows as an invasive mass with fingering margins, dominated by a few clones with aggressive traits. In contrast, mild microenvironment conditions (e.g., normoxia, homogeneous matrix) allow clones with similar aggressive traits to coexist with less aggressive phenotypes in a heterogeneous tumor mass with smooth, noninvasive margins. Thus, the genetic make-up of a cancer cell may realize its invasive potential through a clonal evolution process driven by definable microenvironmental selective forces. Our mathematical model provides a theoretical/experimental framework to quantitatively characterize this selective pressure for invasion and test ways to eliminate it.
The elevator pitch version of this post: if you're a science publisher interested in the web then let's talk about collaborating on a shared system that will stimulate online discussion, kickstart commenting and recognize the sometimes valuable contributions...
A research team from Vanderbilt and the University of Dundee have created a theoretical simulation of tumor growth and metastasis. From the article: "'We have mathematics driving experimentation,' [Vito Quaranta, professor of Cancer Biology] said. The team...
There’s a paper in last week’s issue of Cell that takes aim at alternative models of metastasis from a computational point of view that I’d like to mention briefly. In Tumor Morphology and Phenotypic Evolution Driven by Selective Pressure...
Last week's Cell has a paper using simulations to estimate the influence of the local microenvironment on the development of invasiveness in cancers. Their model includes both discrete elements (cells, which have a number of associated discrete states) and...