Biomedical Engineering Reference
In-Depth Information
Integration of Molecular Signaling
into Multiscale Modeling of Cancer
Zhihui Wang and Vittorio Cristini
Abstract Multiscale modeling has now been well-accepted as a powerful tool to
quantitatively represent, simulate, understand, and predict cancer progression and
development across multiple biological scales. In this chapter, we focus on a
specific type of multiscale cancer models where molecular signaling profiles are
explicitly linked to the determination of cellular phenotypic changes. These
models are particularly suitable for exploring the relationship between signaling
dynamics within each individual cancer cell and the emergent cancer behavior on
the multicellular level. We also discuss current challenges and future directions of
this molecular signaling-incorporated multiscale cancer modeling approach.
Abbreviations
ABM
Agent-based model or agent-based modeling
EGF
Epidermal growth factor
EGFR
EGF receptor
EMT
Epithelial-mesenchymal transition
ERK
Extracellular signal-regulated kinase
NSCLC
Non-small cell lung cancer
ODE
Ordinary differential equation
PDE
Partial differential equation
PLCc
Phopholipase Cc
Z. Wang ( & ) V. Cristini
Department of Pathology, University of New Mexico,
Albuquerque, NM 87131, USA
e-mail: zwang@salud.unm.edu
V. Cristini
Department of Chemical and Biomedical Engineering,
University of New Mexico, Albuquerque, NM 87131, USA
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