Cancer systems biology and modeling: Microscopic scale and multiscale approaches

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DOIResolve DOI: http://doi.org/10.1016/j.semcancer.2014.03.003
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TypeArticle
Journal titleSeminars in Cancer Biology
ISSN1044-579X
Volume30
Pages6069; # of pages: 10
Subjectalgorithm; angiogenesis; Boolean network; cancer growth; cancer modeling; cell interaction; cell proliferation; cell survival; cellular automata; epigenetics; genetics; high throughput screening; malignant neoplastic disease; mathematical model; microscopy; multi agent systems; multiscale modeling; Petri nets; simulation; stochastic model; systems biology
AbstractCancer has become known as a complex and systematic disease on macroscopic, mesoscopic and microscopic scales. Systems biology employs state-of-the-art computational theories and high-throughput experimental data to model and simulate complex biological procedures such as cancer, which involves genetic and epigenetic, in addition to intracellular and extracellular complex interaction networks. In this paper, different systems biology modeling techniques such as systems of differential equations, stochastic methods, Boolean networks, Petri nets, cellular automata methods and agent-based systems are concisely discussed. We have compared the mentioned formalisms and tried to address the span of applicability they can bear on emerging cancer modeling and simulation approaches. Different scales of cancer modeling, namely, microscopic, mesoscopic and macroscopic scales are explained followed by an illustration of angiogenesis in microscopic scale of the cancer modeling. Then, the modeling of cancer cell proliferation and survival are examined on a microscopic scale and the modeling of multiscale tumor growth is explained along with its advantages.
Publication date
PublisherElsevier
LanguageEnglish
AffiliationNational Research Council Canada; Human Health Therapeutics
Peer reviewedYes
NPARC number21275736
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Record identifier8e889e42-e903-4aad-92e8-1bf038dee091
Record created2015-07-14
Record modified2016-05-09
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