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Cancer modeling

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3 papers 100 to 500 followers Computational and mathematical modeling of cancer
By Youfang Cao Computational systems biology. Multiscale spatio-temporal modeling of cellular systems.
Kimberly M Stroka, Hongyuan Jiang, Shih-Hsun Chen, Ziqiu Tong, Denis Wirtz, Sean X Sun, Konstantinos Konstantopoulos
Cell migration is a critical process for diverse (patho)physiological phenomena. Intriguingly, cell migration through physically confined spaces can persist even when typical hallmarks of 2D planar migration, such as actin polymerization and myosin II-mediated contractility, are inhibited. Here, we present an integrated experimental and theoretical approach ("Osmotic Engine Model") and demonstrate that directed water permeation is a major mechanism of cell migration in confined microenvironments. Using microfluidic and imaging techniques along with mathematical modeling, we show that tumor cells confined in a narrow channel establish a polarized distribution of Na+/H+ pumps and aquaporins in the cell membrane, which creates a net inflow of water and ions at the cell leading edge and a net outflow of water and ions at the trailing edge, leading to net cell displacement...
April 24, 2014: Cell
Jasmine Foo, Kevin Leder, Marc D Ryser
Primary tumors often emerge within genetically altered fields of premalignant cells that appear histologically normal but have a high chance of progression to malignancy. Clinical observations have suggested that these premalignant fields pose high risks for emergence of recurrent tumors if left behind after surgical removal of the primary tumor. In this work, we develop a spatio-temporal stochastic model of epithelial carcinogenesis, combining cellular dynamics with a general framework for multi-stage genetic progression to cancer...
August 21, 2014: Journal of Theoretical Biology
Ka-Wei Tang, Babak Alaei-Mahabadi, Tore Samuelsson, Magnus Lindh, Erik Larsson
Viruses cause 10-15% of all human cancers. Massively parallel sequencing has recently proved effective for uncovering novel viruses and virus-tumour associations, but this approach has not yet been applied to comprehensive patient cohorts. Here we screen a diverse landscape of human cancer, encompassing 4,433 tumours and 19 cancer types, for known and novel expressed viruses based on >700 billion transcriptome sequencing reads from The Cancer Genome Atlas Research Network. The resulting map confirms and extends current knowledge...
2013: Nature Communications
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