TY - JOUR
T1 - Simulating cancer growth with multiscale agent-based modeling
AU - Wang, Zhihui
AU - Butner, Joseph D.
AU - Kerketta, Romica
AU - Cristini, Vittorio
AU - Deisboeck, Thomas S.
N1 - Publisher Copyright:
© 2014 Elsevier Ltd.
PY - 2015/2/1
Y1 - 2015/2/1
N2 - There have been many techniques developed in recent years to in silico model a variety of cancer behaviors. Agent-based modeling is a specific discrete-based hybrid modeling approach that allows simulating the role of diversity in cell populations as well as within each individual cell; it has therefore become a powerful modeling method widely used by computational cancer researchers. Many aspects of tumor morphology including phenotype-changing mutations, the adaptation to microenvironment, the process of angiogenesis, the influence of extracellular matrix, reactions to chemotherapy or surgical intervention, the effects of oxygen and nutrient availability, and metastasis and invasion of healthy tissues have been incorporated and investigated in agent-based models. In this review, we introduce some of the most recent agent-based models that have provided insight into the understanding of cancer growth and invasion, spanning multiple biological scales in time and space, and we further describe several experimentally testable hypotheses generated by those models. We also discuss some of the current challenges of multiscale agent-based cancer models.
AB - There have been many techniques developed in recent years to in silico model a variety of cancer behaviors. Agent-based modeling is a specific discrete-based hybrid modeling approach that allows simulating the role of diversity in cell populations as well as within each individual cell; it has therefore become a powerful modeling method widely used by computational cancer researchers. Many aspects of tumor morphology including phenotype-changing mutations, the adaptation to microenvironment, the process of angiogenesis, the influence of extracellular matrix, reactions to chemotherapy or surgical intervention, the effects of oxygen and nutrient availability, and metastasis and invasion of healthy tissues have been incorporated and investigated in agent-based models. In this review, we introduce some of the most recent agent-based models that have provided insight into the understanding of cancer growth and invasion, spanning multiple biological scales in time and space, and we further describe several experimentally testable hypotheses generated by those models. We also discuss some of the current challenges of multiscale agent-based cancer models.
KW - Drug discovery
KW - Mathematical modeling
KW - Signaling pathway
KW - Translational research
KW - Tumor growth and invasion
UR - http://www.scopus.com/inward/record.url?scp=84919647463&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919647463&partnerID=8YFLogxK
U2 - 10.1016/j.semcancer.2014.04.001
DO - 10.1016/j.semcancer.2014.04.001
M3 - Review article
C2 - 24793698
AN - SCOPUS:84919647463
SN - 1044-579X
VL - 30
SP - 70
EP - 78
JO - Seminars in Cancer Biology
JF - Seminars in Cancer Biology
ER -