TY - JOUR
T1 - Multiscale cancer modeling
AU - Deisboeck, Thomas S.
AU - Wang, Zhihui
AU - MacKlin, Paul
AU - Cristini, Vittorio
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011/8/15
Y1 - 2011/8/15
N2 - Simulating cancer behavior across multiple biological scales in space and time, i.e., multiscale cancer modeling, is increasingly being recognized as a powerful tool to refine hypotheses, focus experiments, and enable more accurate predictions. A growing number of examples illustrate the value of this approach in providing quantitative insights in the initiation, progression, and treatment of cancer. In this review, we introduce the most recent and important multiscale cancer modeling works that have successfully established a mechanistic link between different biological scales. Biophysical, biochemical, and biomechanical factors are considered in these models. We also discuss innovative, cutting-edge modeling methods that are moving predictive multiscale cancer modeling toward clinical application. Furthermore, because the development of multiscale cancer models requires a new level of collaboration among scientists from a variety of fields such as biology, medicine, physics, mathematics, engineering, and computer science, an innovative Web-based infrastructure is needed to support this growing community.
AB - Simulating cancer behavior across multiple biological scales in space and time, i.e., multiscale cancer modeling, is increasingly being recognized as a powerful tool to refine hypotheses, focus experiments, and enable more accurate predictions. A growing number of examples illustrate the value of this approach in providing quantitative insights in the initiation, progression, and treatment of cancer. In this review, we introduce the most recent and important multiscale cancer modeling works that have successfully established a mechanistic link between different biological scales. Biophysical, biochemical, and biomechanical factors are considered in these models. We also discuss innovative, cutting-edge modeling methods that are moving predictive multiscale cancer modeling toward clinical application. Furthermore, because the development of multiscale cancer models requires a new level of collaboration among scientists from a variety of fields such as biology, medicine, physics, mathematics, engineering, and computer science, an innovative Web-based infrastructure is needed to support this growing community.
KW - Cancer systems biology
KW - Clinical translation
KW - Continuum
KW - Discrete
KW - Hybrid
KW - Personalized medicine
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U2 - 10.1146/annurev-bioeng-071910-124729
DO - 10.1146/annurev-bioeng-071910-124729
M3 - Article
C2 - 21529163
AN - SCOPUS:79960490878
SN - 1523-9829
VL - 13
SP - 127
EP - 155
JO - Annual Review of Biomedical Engineering
JF - Annual Review of Biomedical Engineering
ER -