A 3-dimentional multiscale model to simulate tumor progression in response to interactions between cancer stem cells and tumor microenvironmental factors

The recent discovery of cancer stem cells (CSCs), or tumor initiating cells (TICs), in a variety of cancers, including breast cancer, provides a key to understand the processes of tumor initiation, progression and recurrence. Here, we present a three-dimensional (3D) multiscale model of the CSC-initiated tumor growth, which takes into account essential microenvironmental (mE) factors (e.g. nutrients, extracellular matrix) and some important biological traits (e.g. angiogenesis, cell apoptosis, and necrosis) and addresses tumor growth from three different levels, i.e. molecular, cellular and tissue levels. At the molecular level, mathematical diffusion-reaction equations are used to understand the dynamics of mE factors. At the cellular level, a cellular automaton is designed to simulate the life cycle and behaviors of individual cells. At the tissue level, a computer graphics method is used to illustrate the geometry of the whole tumor. The simulation study based on the proposed model indicates that the content of CSCs in a tumor mass plays an essential role in driving tumor growth. The simulation also highlights the significance of developing therapeutic agents that can deliver drug molecules into the interior of the tumor, where most of CSCs tend to reside. The simulation study on the breast cancer xenografts reveals that the mouse tumor initiated from a mixed population of human CSCs and other tumor cells show a faster growth rate, while a weaker proliferation and aggressiveness than that initiated from a pure human CSCs population. These simulation results are mostly consistent with our experimental observations. The mathematical model thus provides a new framework for the modeling and simulation studies of CSC-initiated cancer development.

[1]  Yi Jiang,et al.  A cell-based model exhibiting branching and anastomosis during tumor-induced angiogenesis. , 2007, Biophysical journal.

[2]  Mei Zhang,et al.  Selective targeting of radiation-resistant tumor-initiating cells , 2010, Proceedings of the National Academy of Sciences.

[3]  D. Gary Gilliland,et al.  Cancer biology: Summing up cancer stem cells , 2005, Nature.

[4]  L. Liotta,et al.  Tumor cell interactions with the extracellular matrix during invasion and metastasis. , 1993, Annual review of cell biology.

[5]  Philippe Shubik,et al.  VEGF and the quest for tumour angiogenesis factors , 2022 .

[6]  L. Norton A Gompertzian model of human breast cancer growth. , 1988, Cancer research.

[7]  Mark S. Gockenbach,et al.  Understanding and implementing the finite element method , 1987 .

[8]  Zang Ai-hua,et al.  Stem Cells,Cancer and Cancer Stem Cells , 2005 .

[9]  S. McWeeney,et al.  Cancer stem cell tumor model reveals invasive morphology and increased phenotypical heterogeneity. , 2010, Cancer research.

[10]  Franziska Michor,et al.  Mathematical models of cancer stem cells. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[11]  H. Frieboes,et al.  Computer simulation of glioma growth and morphology , 2007, NeuroImage.

[12]  Chi-Wang Shu,et al.  Total variation diminishing Runge-Kutta schemes , 1998, Math. Comput..

[13]  Susan G Hilsenbeck,et al.  Intrinsic resistance of tumorigenic breast cancer cells to chemotherapy. , 2008, Journal of the National Cancer Institute.

[14]  A. Anderson,et al.  A hybrid mathematical model of solid tumour invasion: the importance of cell adhesion , 2005 .

[15]  V. Cristini,et al.  Nonlinear simulation of tumor necrosis, neo-vascularization and tissue invasion via an adaptive finite-element/level-set method , 2005, Bulletin of mathematical biology.

[16]  Michael F. Clarke,et al.  Applying the principles of stem-cell biology to cancer , 2003, Nature Reviews Cancer.

[17]  S. McDougall,et al.  Multiscale modelling and nonlinear simulation of vascular tumour growth , 2009, Journal of mathematical biology.

[18]  Daniel Medina,et al.  Identification of tumor-initiating cells in a p53-null mouse model of breast cancer. , 2008, Cancer research.

[19]  H. Frieboes,et al.  An integrated computational/experimental model of tumor invasion. , 2006, Cancer research.

[20]  R. Ganguly,et al.  Mathematical model for the cancer stem cell hypothesis , 2006, Cell proliferation.

[21]  S Torquato,et al.  Simulated brain tumor growth dynamics using a three-dimensional cellular automaton. , 2000, Journal of theoretical biology.

[22]  Ling Xia,et al.  Cancer stem cell, niche and EGFR decide tumor development and treatment response: A bio-computational simulation study. , 2011, Journal of theoretical biology.

[23]  Hong Peng,et al.  Interactions between cancer stem cells and their niche govern metastatic colonization , 2011, Nature.

[24]  S Saito,et al.  Increased tumor tissue pressure in association with the growth of rat tumors. , 1986, Japanese journal of cancer research : Gann.

[25]  J. Rich,et al.  Cancer stem cells in radiation resistance. , 2007, Cancer research.

[26]  Y. Tsujimoto,et al.  Induction of apoptosis as well as necrosis by hypoxia and predominant prevention of apoptosis by Bcl-2 and Bcl-XL. , 1996, Cancer research.

[27]  Harikrishna Nakshatri,et al.  CD44+/CD24- breast cancer cells exhibit enhanced invasive properties: an early step necessary for metastasis , 2006, Breast Cancer Research.