Computational challenges of tumor spheroid modeling

Details Computational challenges of tumor spheroid modeling Computational challenges of tumor spheroid modeling

2010-12-09

arxiv.org/abs/1012.2125v1

Biology

Quantitative Biology

Tissues and Organs

19 pages, 4 figures, 2 tables. Accepted for publication in Journal of Bioinformatics and Computational Biology

Scientific paper

The speed and the versatility of today's computers open up new opportunities to simulate complex biological systems. Here we review a computational approach recently proposed by us to model large tumor cell populations and spheroids, and we put forward general considerations that apply to any fine-grained numerical model of tumors. We discuss ways to bypass computational limitations and discuss our incremental approach, where each step is validated by experimental observations on a quantitative basis. We present a few results on the growth of tumor cells in closed and open environments and of tumor spheroids. This study suggests new ways to explore the initial growth phase of solid tumors and to optimize anti-tumor treatments.

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