Nonlinear three-dimensional simulation of solid tumor growth

We present a new, adaptive boundary integral method to simulate solid tumor growth in 3-d. We use a reformulation of a classical model that accounts for cell-proliferation, apoptosis, cell-to-cell and cell-to-matrix adhesion. The 3-d method relies on accurate discretizations of singular surface integrals, a spatial rescaling and the use of an adaptive surface mesh. The discretized boundary integral equations are solved iteratively using GMRES and a discretized version of the Dirichlet-Neumann map, formulated in terms of a vector potential, is used to determine the normal velocity of the tumor surface. Explicit time stepping is used to update the tumor surface. We present simulations of the nonlinear evolution of growing tumors. At early times, good agreement is obtained between the results of a linear stability analysis and nonlinear simulations. At later times, linear theory is found to overpredict the growth of perturbations. Nonlinearity results in mode creation and interaction that leads to the formation of dimples and the tumor surface buckles inwards. The morphologic instability allows the tumor to increase its surface area, relative to its volume, thereby allowing the cells in the tumor bulk greater access to nutrient. This in turn allows the tumor to overcome the diffusional limitations on growth and to grow to larger sizes than would be possible if the tumor were spherical. Consequently, instability provides a means for avascular tumor invasion.

[1]  R. Kress,et al.  Integral equation methods in scattering theory , 1983 .

[2]  Y. Saad,et al.  GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems , 1986 .

[3]  M. Chaplain,et al.  Modelling the role of cell-cell adhesion in the growth and development of carcinomas , 1996 .

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

[5]  David Kinderlehrer,et al.  Morphological Stability of a Particle Growing by Diffusion or Heat Flow , 1999 .

[6]  D. L. Sean McElwain,et al.  A Mixture Theory for the Genesis of Residual Stresses in Growing Tissues I: A General Formulation , 2005, SIAM J. Appl. Math..

[7]  M. Chaplain,et al.  Mathematical modelling of the loss of tissue compression responsiveness and its role in solid tumour development. , 2006, Mathematical medicine and biology : a journal of the IMA.

[8]  H M Byrne,et al.  The influence of growth-induced stress from the surrounding medium on the development of multicell spheroids , 2001, Journal of mathematical biology.

[9]  M. Chaplain,et al.  Continuous and Discrete Mathematical Models of Tumor‐Induced Angiogenesis , 1999 .

[10]  J. Sherratt,et al.  Intercellular adhesion and cancer invasion: a discrete simulation using the extended Potts model. , 2002, Journal of theoretical biology.

[11]  L. D. de Pillis,et al.  A cellular automata model of tumor-immune system interactions. , 2006, Journal of theoretical biology.

[12]  Vittorio Cristini,et al.  Three-dimensional crystal growth-II: nonlinear simulation and control of the Mullins-Sekerka instability , 2004 .

[13]  V. Cristini,et al.  Nonlinear simulation of tumor growth , 2003, Journal of mathematical biology.

[14]  J. Lowengrub,et al.  Nonlinear simulation of the effect of microenvironment on tumor growth. , 2007, Journal of theoretical biology.

[15]  P. Maini,et al.  Modelling aspects of cancer dynamics: a review , 2006, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[16]  V. Cristini,et al.  Three-dimensional crystal growth—I: linear analysis and self-similar evolution , 2002 .

[17]  Mauro Ferrari,et al.  Morphologic Instability and Cancer Invasion , 2005, Clinical Cancer Research.

[18]  D L S McElwain,et al.  A history of the study of solid tumour growth: The contribution of mathematical modelling , 2004, Bulletin of mathematical biology.

[19]  Mauro Ferrari,et al.  Mathematical modeling of cancer progression and response to chemotherapy , 2006, Expert review of anticancer therapy.

[20]  Kai Borre,et al.  Potential Theory , 2006, Introduction to Stellar Dynamics.

[21]  Jelena Pjesivac-Grbovic,et al.  A multiscale model for avascular tumor growth. , 2005, Biophysical journal.

[22]  H. Greenspan On the growth and stability of cell cultures and solid tumors. , 1976, Journal of theoretical biology.

[23]  Alexander Z. Zinchenko,et al.  A novel boundary-integral algorithm for viscous interaction of deformable drops , 1997 .

[24]  E. T. Gawlinski,et al.  Acid-mediated tumor invasion: a multidisciplinary study. , 2006, Cancer research.

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

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

[27]  Thomas S Deisboeck,et al.  Emerging patterns in tumor systems: simulating the dynamics of multicellular clusters with an agent-based spatial agglomeration model. , 2002, Journal of theoretical biology.

[28]  L. Preziosi,et al.  Modelling and mathematical problems related to tumor evolution and its interaction with the immune system , 2000 .

[29]  John S. Lowengrub,et al.  An improved geometry-aware curvature discretization for level set methods: Application to tumor growth , 2006, J. Comput. Phys..

[30]  D. A. Dunnett Classical Electrodynamics , 2020, Nature.

[31]  F Reitich,et al.  Analysis of a mathematical model for the growth of tumors , 1999, Journal of mathematical biology.

[32]  H M Byrne,et al.  Growth of necrotic tumors in the presence and absence of inhibitors. , 1996, Mathematical biosciences.

[33]  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.

[34]  P. Maini,et al.  A cellular automaton model for tumour growth in inhomogeneous environment. , 2003, Journal of theoretical biology.

[35]  Thomas S Deisboeck,et al.  Simulating the impact of a molecular 'decision-process' on cellular phenotype and multicellular patterns in brain tumors. , 2004, Journal of theoretical biology.

[36]  Helen Byrne,et al.  Asymmetric growth of models of avascular solid tumours: exploiting symmetries. , 2002, IMA journal of mathematics applied in medicine and biology.

[37]  R. Guillevin,et al.  Simulation of anisotropic growth of low‐grade gliomas using diffusion tensor imaging , 2005, Magnetic resonance in medicine.

[38]  Alissa M. Weaver,et al.  Mathematical modeling of cancer: the future of prognosis and treatment. , 2005, Clinica chimica acta; international journal of clinical chemistry.

[39]  H M Byrne,et al.  Growth of nonnecrotic tumors in the presence and absence of inhibitors. , 1995, Mathematical biosciences.

[40]  L. Sander,et al.  Dynamics and pattern formation in invasive tumor growth. , 2005, Physical review letters.

[41]  L. Preziosi,et al.  Modelling Solid Tumor Growth Using the Theory of Mixtures , 2001, Mathematical medicine and biology : a journal of the IMA.

[42]  K. Atkinson The Numerical Solution of Integral Equations of the Second Kind , 1997 .

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

[44]  J. Murray,et al.  Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion , 2003, Journal of the Neurological Sciences.

[45]  Vittorio Cristini,et al.  An adaptive mesh algorithm for evolving surfaces: simulation of drop breakup and coalescence , 2001 .

[46]  D. L. Sean McElwain,et al.  A Mixture Theory for the Genesis of Residual Stresses in Growing Tissues II: Solutions to the Biphasic Equations for a Multicell Spheroid , 2005, SIAM J. Appl. Math..

[47]  J. Sethian,et al.  Simulating complex tumor dynamics from avascular to vascular growth using a general level-set method , 2006, Journal of mathematical biology.

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

[49]  D. McElwain,et al.  A linear-elastic model of anisotropic tumour growth , 2004, European Journal of Applied Mathematics.

[50]  J. Lowengrub,et al.  Evolving interfaces via gradients of geometry-dependent interior Poisson problems: application to tumor growth , 2005 .

[51]  R. Jain,et al.  Solid stress generated by spheroid growth estimated using a linear poroelasticity model. , 2003, Microvascular research.