Agent-Based Simulations of In Vitro Multicellular Tumor Spheroid Growth

Multicellular tumor spheroids (MTS) are an in vitro model system of avascular tumors. They are used to study how local microenvironments affect cellular growth, viability, and therapeutic response. We are developing in silico, agent-based analogues to provide new options for gaining exploitable insight into both the in vitro and in vivo systems. MTS exhibit characteristic phenotypic attributes: initial exponential growth becomes linear and is followed by growth saturation and a stabilization of spheroid size; and a concentric layered structure, consisting of an outer shell of proliferating cells, an intermediate layer of viable but quiescent cells, and an inner necrotic core. Our agent-based, discrete event analogue consists of different spaces for tumor cells, oxygen, nutrient, and toxic inhibitors. It successfully simulates the three phases of spheroid growth and achieves the balance of cell gain and loss that is necessary for saturation. When exposed to varying levels of nutrient and oxygen, the model behavior is qualitatively similar to that observed in vitro. A goal is to have increasing overlap between the phenotype of the analogue in silico systems and the phenotype of their in vitro referents. The development process will necessarily expose gaps in the understanding of tumor spheroids and lead experimentalists in new and novel directions.

[1]  J. Freyer Role of necrosis in regulating the growth saturation of multicellular spheroids. , 1988, Cancer research.

[2]  A. Deutsch,et al.  Modeling of self-organized avascular tumor growth with a hybrid cellular automaton. , 2002, In silico biology.

[3]  J P Freyer,et al.  Shedding of mitotic cells from the surface of multicell spheroids during growth , 1981, Journal of cellular physiology.

[4]  R. Sutherland Cell and environment interactions in tumor microregions: the multicell spheroid model. , 1988, Science.

[5]  C. Leaf,et al.  Why we're losing the war on cancer (and how to win it). , 2004, Fortune.

[6]  R. Sutherland,et al.  Growth of multicell spheroids in tissue culture as a model of nodular carcinomas. , 1971, Journal of the National Cancer Institute.

[7]  B. Desoize,et al.  Contribution of three-dimensional culture to cancer research. , 2000, Critical reviews in oncology/hematology.

[8]  James P. Freyer,et al.  Microenvironmental Regulation of Proliferation in Multicellular Spheroids Is Mediated through Differential Expression of Cyclin-Dependent Kinase Inhibitors , 2004, Cancer Research.

[9]  J P Freyer,et al.  A reduction in the in situ rates of oxygen and glucose consumption of cells in EMT6/Ro spheroids during growth , 1985, Journal of cellular physiology.

[10]  Michele Sonnessa JAS: JAVA AGENT-BASED SIMULATION LIBRARY, AN OPEN FRAMEWORK FOR ALGORITHM-INTENSIVE SIMULATIONS , 2004 .

[11]  J. Freyer,et al.  Regulation of growth saturation and development of necrosis in EMT6/Ro multicellular spheroids by the glucose and oxygen supply. , 1986, Cancer research.

[12]  D. Drasdo,et al.  Individual-based approaches to birth and death in avascu1ar tumors , 2003 .

[13]  H. Greenspan Models for the Growth of a Solid Tumor by Diffusion , 1972 .

[14]  J P Freyer,et al.  Proliferative and clonogenic heterogeneity of cells from EMT6/Ro multicellular spheroids induced by the glucose and oxygen supply. , 1986, Cancer research.

[15]  G B Ermentrout,et al.  Cellular automata approaches to biological modeling. , 1993, Journal of theoretical biology.

[16]  Glen E. P. Ropella,et al.  Similarity measures for automated comparison of in silico and in vitro experimental results , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[17]  J P Freyer,et al.  A model for the growth of multicellular spheroids , 1982, Cell and tissue kinetics.