title: Agent-Based Modeling of Cancer Stem Cell Driven Solid Tumor Growth.
abstract: Computational modeling of tumor growth has become an invaluable tool to simulate complex cell-cell interactions and emerging population-level dynamics. Agent-based models are commonly used to describe the behavior and interaction of individual cells in different environments. Behavioral rules can be informed and calibrated by in vitro assays, and emerging population-level dynamics may be validated with both in vitro and in vivo experiments. Here, we describe the design and implementation of a lattice-based agent-based model of cancer stem cell driven tumor growth.
authors.affiliation: Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33647, USA.
authors.forename: Jan
authors.initials: J
authors.lastname: Poleszczuk
authors.affiliation: Center for Applied Molecular Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
authors.forename: Paul
authors.initials: P
authors.lastname: Macklin
authors.affiliation: Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33647, USA. heiko.enderling@moffitt.org.
authors.forename: Heiko
authors.initials: H
authors.lastname: Enderling
mesh_terms: D002450:Cell Communication / Q000235:genetics; D049109:Cell Proliferation / Q000235:genetics; D003198:Computer Simulation; D006801:Humans; D009369:Neoplasms / Q000235:genetics* / Q000473:pathology; D014411:Neoplastic Stem Cells / Q000473:pathology*
keywords: Agent-based model; Calibration; Cancer stem cell; Digital cell line; Domain; High performance; Search order; Tumor growth