On the unsteady Darcy–Forchheimer–Brinkman equation in local and nonlocal tumor growth models
Abstract
A mathematical analysis of local and nonlocal phase-field models of tumor growth is presented that includes time-dependent Darcy–Forchheimer–Brinkman models of convective velocity fields and models of long-range cell interactions. A complete existence analysis is provided. In addition, a parameter-sensitivity analysis is described that quantifies the sensitivity of key quantities of interest to changes in parameter values. Two sensitivity analyses are examined; one employing statistical variances of model outputs and another employing the notion of active subspaces based on existing observational data. Remarkably, the two approaches yield very similar conclusions on sensitivity for certain quantities of interest. The work concludes with the presentation of numerical approximations of solutions of the governing equations and results of numerical experiments on tumor growth produced using finite element discretizations of the full tumor model for representative cases.
Communicated by N. Bellomo
References
- 1. , A history of the study of solid tumour growth: The contribution of mathematical modelling, Bull. Math. Biol. 66 (2014) 1039–1091. Crossref, Web of Science, Google Scholar
- 2. ,
On some nonlocal evolution equations arising in materials science , in Nonlinear Dynamics and Evolution Equations (Amer. Math. Soc., 2006), pp. 13–52. Crossref, Google Scholar - 3. , The Dirichlet boundary problem for a nonlocal Cahn–Hilliard equation, J. Math. Anal. Appl. 311 (2015) 289–312. Crossref, Web of Science, Google Scholar
- 4. , The Neumann boundary problem for a nonlocal Cahn–Hilliard equation, J. Differential Equations 212 (2005) 235–277. Crossref, Web of Science, Google Scholar
- 5. , On the foundations of cancer modelling: Selected topics, speculations, and perspectives, Math. Models Methods Appl. Sci. 18 (2008) 593–646. Link, Web of Science, Google Scholar
- 6. , Mixed Finite Element Methods and Applications,
Springer Series in Computational Mathematics (Springer-Verlag, 2013). Crossref, Google Scholar - 7. , Mathematical Tools for the Study of the Incompressible Navier–Stokes Equations and Related Models,
Applied Mathematical Sciences (Springer-Verlag, 2012). Google Scholar - 8. , Functional Analysis, Sobolev Spaces and Partial Differential Equations (Springer-Verlag, 2010). Crossref, Google Scholar
- 9. , On the one-dimensional steady and unsteady porous flow equations, Coast. Eng. 24 (1995) 233–257. Crossref, Web of Science, Google Scholar
- 10. , Modelling the response of vascular tumours to chemotherapy: A multiscale approach, Math. Models Methods Appl. Sci. 16 (2006) 1219–1241. Link, Web of Science, Google Scholar
- 11. , Free energy of a nonuniform system. I. Interfacial free energy, J. Chem. Phys. 28 (1958) 258–267. Crossref, Web of Science, Google Scholar
- 12. , Mathematical modelling of cancer invasion: The importance of cell–cell adhesion and cell-matrix adhesion, Math. Models Methods Appl. Sci. 21 (2011) 719–743. Link, Web of Science, Google Scholar
- 13. , Derivation of the Forchheimer law via homogenization, Transp. Porous Media 44 (2001) 325–335. Crossref, Web of Science, Google Scholar
- 14. , Theory of Ordinary Differential Equations (McGraw-Hill, 1984). Google Scholar
- 15. , Global existence of weak solutions to a nonlocal Cahn–Hilliard–Navier–Stokes system, J. Math. Anal. Appl. 386 (2012) 428–444. Crossref, Web of Science, Google Scholar
- 16. , Active Subspaces: Emerging Ideas for Dimension Reduction in Parameter Studies (SIAM, 2015). Crossref, Google Scholar
- 17. , Global sensitivity metrics from active subspaces, Reliab. Eng. Syst. Safe. 162 (2017) 1–13. Crossref, Web of Science, Google Scholar
- 18. , Active subspace methods in theory and practice: Applications to kriging surfaces, SIAM J. Sci. Comput. 36 (2014) A1500–A1524. Crossref, Web of Science, Google Scholar
- 19. , Nonlinear simulations of solid tumor growth using a mixture model: Invasion and branching, J. Math. Biol. 58 (2009) 723–763. Crossref, Web of Science, Google Scholar
- 20. , Nonlinear simulation of tumor growth, J. Math. Biol. 46 (2003) 191–224. Crossref, Web of Science, Google Scholar
- 21. , Multiscale Cancer Modeling (CRC Press, 2010). Crossref, Google Scholar
- 22. , The nonlocal Cahn–Hilliard–Hele–Shaw system with logarithmic potential, Nonlinearity 31 (2018) 4851–4881. Crossref, Web of Science, Google Scholar
- 23. , On the nonlocal Cahn–Hilliard–Brinkman and Cahn–Hilliard–Hele–Shaw systems, Commun. Math. Sci. 13 (2015) 1541–1567. Crossref, Web of Science, Google Scholar
- 24. , Analysis of a Cahn–Hilliard–Brinkman model for tumour growth with chemotaxis, J. Differential Equations 266 (2018) 5998–6036. Crossref, Web of Science, Google Scholar
- 25. , On a structured multiscale model for acid-mediated tumor invasion: The effects of adhesion and proliferation, Math. Models Methods Appl. Sci. 27 (2017) 1355–1390. Link, Web of Science, Google Scholar
- 26. , Partial Differential Equations,
Graduate Studies in Mathematics (Amer. Math. Soc., 2010). Crossref, Google Scholar - 27. , Nonlocal Cahn–Hilliard–Navier–Stokes systems with singular potentials, Dyn. Partial Differential Equations 9 (2012) 273–304. Crossref, Web of Science, Google Scholar
- 28. , Strong solutions for two-dimensional nonlocal Cahn–Hilliard–Navier–Stokes systems, J. Differential Equations 255 (2013) 2587–2614. Crossref, Web of Science, Google Scholar
- 29. , A diffuse interface model for two-phase incompressible flows with non-local interactions and non-constant mobility, Nonlinearity 28 (2015) 1257–1293. Crossref, Web of Science, Google Scholar
- 30. , On a diffuse interface model of tumour growth, European J. Appl. Math. 26 (2015) 215–243. Crossref, Web of Science, Google Scholar
- 31. ,
On a diffuse interface model for tumour growth with non-local interactions and degenerate mobilities , in Solvability, Regularity, and Optimal Control of Boundary Value Problems for PDEs (Springer, 2017), pp. 217–254. Crossref, Google Scholar - 32. , On a nonlocal phase separation model, J. Math. Anal. Appl. 286 (2003) 11–31. Crossref, Web of Science, Google Scholar
- 33. , The nonlocal Cahn–Hilliard equation with singular potential: Well-posedness, regularity and strict separation property, J. Differential Equations 263 (2017) 5253–5297. Crossref, Web of Science, Google Scholar
- 34. , Global weak solutions and asymptotic limits of a Cahn–Hilliard–Darcy system modelling tumour growth, AIMS Math. 1 (2016) 318–360. Crossref, Web of Science, Google Scholar
- 35. , Well-posedness of a Cahn–Hilliard system modelling tumour growth with chemotaxis and active ort, European J. Appl. Math. 28 (2017) 284–316. Crossref, Web of Science, Google Scholar
- 36. ,
On a Cahn–Hilliard–Darcy system for tumour growth with solution dependent source terms , in Trends in Applications of Mathematics to Mechanics (Springer, 2018), pp. 243–264. Crossref, Google Scholar - 37. , A Cahn–Hilliard–Darcy model for tumour growth with chemotaxis and active transport, Math. Models Methods Appl. Sci. 26 (2016) 1095–1148. Link, Web of Science, Google Scholar
- 38. , Mathematical modelling of cancer cell invasion of tissue: Local and non-local models and the effect of adhesion, J. Theor. Biol. 250 (2008) 684–704. Crossref, Web of Science, Google Scholar
- 39. , Exact macroscopic description of phase segregation in model alloys with long range interactions, Phys. Rev. Lett. 76 (1996) 1094–1097. Crossref, Web of Science, Google Scholar
- 40. , Phase segregation dynamics in particle systems with long range interactions. I. Macroscopic limits, J. Stat. Phys. 87 (1997) 37–61. Crossref, Web of Science, Google Scholar
- 41. , Finite Element Approximation of the Navier–Stokes Equations,
Lecture Notes in Mathematics (Springer-Verlag, 1979). Crossref, Google Scholar - 42. ,
Mechanics in tumor growth , in Modeling of Biological Materials (Springer, 2007), pp. 263–321. Crossref, Google Scholar - 43. , Gravity waves over porous bottoms, Coast. Eng. 15 (1991) 497–524. Crossref, Web of Science, Google Scholar
- 44. , A convergent convex splitting scheme for the periodic nonlocal Cahn–Hilliard equation, Numer. Math. 128 (2014) 377–406. Crossref, Web of Science, Google Scholar
- 45. , Generalized Ginzburg–Landau and Cahn–Hilliard equations based on a microforce balance, Physica D. 92 (1996) 178–192. Crossref, Web of Science, Google Scholar
- 46. , Comparison of oscillatory and stationary flow through porous media, Coast. Eng. 24 (1995) 217–232. Crossref, Web of Science, Google Scholar
- 47. , Mathematical modelling of glioblastoma tumour development: A review, Math. Models Methods Appl. Sci. 15 (2005) 1779–1794. Link, Web of Science, Google Scholar
- 48. , Numerical simulation of a thermodynamically consistent four-species tumor growth model, Int. J. Numer. Methods Biomed. Eng. 28 (2021) 3–24. Crossref, Web of Science, Google Scholar
- 49. , Well-posedness and long-time behavior of a non-autonomous Cahn–Hilliard–Darcy system with mass source modeling tumor growth, J. Differential Equations 259 (2015) 3032–3077. Crossref, Web of Science, Google Scholar
- 50. , Thermodynamically consistent Navier–Stokes–Cahn–Hilliard models with mass transfer and chemotaxis, European J. Appl. Math. 29 (2018) 595–644. Crossref, Web of Science, Google Scholar
- 51. ,
Darcy’s law during unsteady flow , in Ground Water: General Assembly of Bern, Vol. 77 (1957), pp. 284–299. Google Scholar - 52. , Analysis,
Graduate Studies in Mathematics (Amer. Math. Soc., 2001). Crossref, Google Scholar - 53. , Analysis and numerical solution of stochastic phase-field models of tumor growth, Numer. Methods Partial Differential Equations 31 (2015) 552–574. Crossref, Web of Science, Google Scholar
- 54. , Calibration of multi-parameter models of avascular tumor growth using time resolved microscopy data, Sci. Rep. 8 (2018) Report number 14558. Crossref, Web of Science, Google Scholar
- 55. , A hybrid ten-species phase-field model of tumor growth, Math. Models Methods Appl. Sci. 24 (2014) 2569–2599. Link, Web of Science, Google Scholar
- 56. , Non-Homogeneous Boundary Value Problems and Applications I,
Grundlehren der mathematischen Wissenschaften (Springer-Verlag, 2012). Google Scholar - 57. , Automated Solution of Differential Equations by the Finite Element Method: The FEniCS Book (Springer-Verlag 2012). Crossref, Google Scholar
- 58. , Analysis of a mixture model of tumor growth, European J. Appl. Math. 24 (2013) 691–734. Crossref, Web of Science, Google Scholar
- 59. , Evolving interfaces via gradients of geometry-dependent interior poisson problems: Application to tumor growth, J. Comput. Phys. 203 (2005) 191–220. Crossref, Web of Science, Google Scholar
- 60. , An improved geometry-aware curvature discretization for level set methods: Application to tumor growth, J. Comput. Phys. 215 (2006) 392–401. Crossref, Web of Science, Google Scholar
- 61. , A new ghost cell/level set method for moving boundary problems: Application to tumor growth, J. Sci. Comput. 35 (2008) 266–299. Crossref, Web of Science, Google Scholar
- 62. , Adaptive multiscale predictive modelling, Acta Numer. 27 (2018) 353–450. Crossref, Web of Science, Google Scholar
- 63. , Toward predictive multiscale modeling of vascular tumor growth, Arch. Comput. Methods Eng. 23 (2016) 735–779. Crossref, Web of Science, Google Scholar
- 64. , Mixed element method for two-dimensional Darcy–Forchheimer model, J. Sci. Comput. 52 (2012) 563–587. Crossref, Web of Science, Google Scholar
- 65. , Mathematical modeling of cancer: The future of prognosis and treatment, Clin. Chim. Acta 357 (2005) 173–179. Crossref, Web of Science, Google Scholar
- 66. , On a hierarchy of approximate models for flows of incompressible fluids through porous solids, Math. Models Methods Appl. Sci. 17 (2007) 215–252. Link, Web of Science, Google Scholar
- 67. , Infinite-Dimensional Dynamical Systems: An Introduction to Dissipative Parabolic PDEs and the Theory of Global Attractors,
Cambridge Texts in Applied Mathematics (Cambridge Univ. Press, 2001). Crossref, Google Scholar - 68. , Mathematical models of avascular tumor growth, SIAM Rev. 49 (2007) 179–208. Crossref, Web of Science, Google Scholar
- 69. , Nonlinear Partial Differential Equations with Applications,
International Series of Numerical Mathematics (Birkhäuser, 2013). Crossref, Google Scholar - 70. , Partial Differential Equations in Action : From Modelling to Theory (Springer-Verlag, 2016). Crossref, Google Scholar
- 71. , Variance based sensitivity analysis of model output: Design and estimator for the total sensitivity index, Comput. Phys. Commun. 181 (2010) 259–270. Crossref, Web of Science, Google Scholar
- 72. , Sensitivity Analysis (Wiley, 2000). Google Scholar
- 73. , Global Sensitivity Analysis: The Primer (Wiley, 2008). Google Scholar
- 74. , Compact sets in the space , Ann. Math. Pura Appl. 146 (1986) 65–96. Crossref, Web of Science, Google Scholar
- 75. , On the existence of the pressure for solutions of the variational Navier–Stokes equations, J. Math. Fluid Methods 1 (1999) 225–234. Crossref, Web of Science, Google Scholar
- 76. , Global sensitivity indices for nonlinear mathematical models and their Monte–Carlo estimates, Math. Comput. Simul. 55 (2001) 271–280. Crossref, Web of Science, Google Scholar
- 77. , A thermodynamic basis for the derivation of the Darcy, Forchheimer and Brinkman models for flows through porous media and their generalizations, Int. J. Nonlinear Mech. 58 (2014) 162–166. Crossref, Web of Science, Google Scholar
- 78. , Global weak solutions in a PDE-ODE system modeling multiscale cancer cell invasion, SIAM J. Math. Anal. 46 (2014) 1969–2007. Crossref, Web of Science, Google Scholar
- 79. , On continuity of functions with values in various Banach spaces, Pacific J. Math. 19 (1966) 543–551. Crossref, Web of Science, Google Scholar
- 80. , Mathematical modelling of cancer invasion of tissue: The role and effect of nonlocal interactions, Math. Models Methods Appl. Sci. 19 (2009) 257–281. Link, Web of Science, Google Scholar
- 81. L. Tartar, Nonlinear Partial Differential Equations using Compactness Method, Report 1584, Mathematics Research Center, University of Wisconsin (1976). Google Scholar
- 82. , Navier–Stokes Equations : Theory and Numerical Analysis (Amer. Math. Soc., 2001). Google Scholar
- 83. , An adaptive multigrid algorithm for simulating solid tumor growth using mixture models, Math. Comput. Model. 53 (2011) 1–20. Crossref, Web of Science, Google Scholar
- 84. , Three-dimensional multispecies nonlinear tumor growth I: Model and numerical method, J. Theor. Biol. 253 (2008) 524–543. Crossref, Web of Science, Google Scholar
- 85. , Nonlinear simulation of tumor necrosis, neo-vascularization and tissue invasion via an adaptive finite-element/level-set method, Bull. Math. Biol. 67 (2005) 211–259. Crossref, Web of Science, Google Scholar
- 86. , A study of the time constant in unsteady porous media flow using direct numerical simulation, Transp. Porous Media 104 (2014) 161–179. Crossref, Web of Science, Google Scholar