Abstract
In a bounded smooth domain \(\Omega \subset {\mathbb {R}}^{2}\) and with a positive parameter \(\chi >0\), we consider the chemotaxis system
for modeling the interactions between tumor and immune cells. It is shown that for any given \(\chi >0\) and for suitably regular initial data \((u_0, v_0, w_0)\), the corresponding homogeneous Neumann initial-boundary problem admits a global classical solution that is bounded; moreover, a critical mass phenomenon was analytically observed: If \(\chi \) is appropriately small, then the solution will approach spatially constant nontrivial equilibria in the large time limit provided that \(\bar{u}_0:=|\Omega |^{-1}\int _\Omega u_0<1\), whereas the solution will converge to its large time limit \((\bar{ u}_0, 0, 0)\) in the case \(\bar{u}_0\ge 1\).
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References
Bellomo, N., Bellouquid, A., Tao, Y., Winkler, M.: Toward a mathematical theory of Keller–Segel models of pattern formation in biological tissues. Math. Models Methods Appl. Sci. 25, 1663–1763 (2015)
Cui, S., Escher, J.: Bifurcation analysis of an elliptic free boundary problem modelling the growth of avascular tumors. SIAM J. Math. Anal. 39, 210–235 (2007)
Cui, S., Escher, J.: Well-posedness and stability of a multi-dimensional tumor growth model. Arch. Ration. Mech. Anal. 191, 173–193 (2009)
Cosner, C.: Reaction-diffusion-advection models for the effects and evolution of dispersal. Discrete Contin. Dyn. Syst. 34, 1701–1745 (2014)
Dal Passo, R., Garcke, H., Grün, G.: On a fourth-order degenerate parabolic equation: global entropy estimates, existence, and qualitative behavior of solutions. SIAM J. Math. Anal. 29(2), 321–342 (1998)
Dombrowski, C., Cisneros, L., Chatkaew, S., Goldstein, R.E., Kessler, J.O.: Self-concentration and large-scale coherence in bacterial dynamics. Phys. Rev. Lett. 93, 098103-1-4 (2004)
Friedman, A., Hu, B.: Bifurcation from stability to instability for a free boundary problem arising in a tumor model. Arch. Ration. Mech. Anal. 180, 293–330 (2006)
Greenspan, H.P.: On the growth of cell culture and solid tumors. J. Theor. Biol. 56, 229–242 (1976)
Hambrock, R., Lou, Y.: The evolution of conditional dispersal strategies in spatially heterogeneous habitats. Bull. Math. Biol. 71, 1793–1817 (2009)
Hao, W., Hauenstein, J.D., Hu, B., McCoy, T., Sommese, A.J.: Computing steady-state solutions for a free boundary problem modeling tumor growth by Stokes equation. J. Comput. Appl. Math. 237, 326–334 (2013)
Huang, Y., Zhang, Z., Hu, B.: Bifurcation for a free-boundary tumor model with angiogenesis. Nonlinear Anal. Real World Appl. 35, 483–502 (2017)
He, X., Zheng, S.: Global boundedness of solutions in a reaction-diffusion system of predator-prey model with prey-taxis. Appl. Math. Lett. 49, 73–77 (2015)
Herrero, M.A., Velázquez, J.J.L.: A blow-up mechanism for a chemotaxis model. Ann. Scuola Normale Superiore Pisa 24, 633–683 (1997)
Hillen, T., Painter, K.J.: A users’ guide to PDE models for chemotaxis. J. Math. Biol. 58, 183–217 (2009)
Horstmann, D., Winkler, M.: Boundedness vs. blow-up in a chemotaxis system. J. Differ. Equ. 215, 52–107 (2005)
Jin, H.-Y., Wang, Z.-A.: Global stability of prey-taxis systems. J. Differ. Equ. 262, 1257–1290 (2017)
Kareiva, P., Odell, G.: Swarms of predators exhibit ‘preytaxis’ if individual predators use arearestricted search. Am. Nat. 130, 233–270 (1987)
Keller, E.F., Segel, L.A.: Initiation of slime mold aggregation viewed as an instability. J. Theor. Biol. 26, 399–415 (1970)
Lions, P.L.: Résolution de problèmes elliptiques quasilinéaires. Arch. Ration. Mech. Anal. 74, 335–353 (1980)
Lou, Y., Ni, W.-M.: Diffusion, self-diffusion and cross-diffusion. J. Differ. Equ. 131, 79–131 (1996)
Mahlbacher, G.E., Reihmer, K.C., Frieboes, H.B.: Mathematical modeling of tumor–immune cell interacions. J. Theor. Biol. 469, 47–60 (2019)
Painter, K.J.: Continuous models for cell migration in tissues and applications to cell sorting via differential chemotaxis. Bull. Math. Biol. 71, 1117–1147 (2009)
Rosen, G.: Steady-state distribution of bacteria chemotactic toward oxygen. Bull. Math. Biol. 40, 641–674 (1978)
Tao, Y.: Global existence of classical solutions to a predator-prey model with nonlinear prey-taxis. Nonlinear Anal. Real World Appl. 11, 2056–2064 (2010)
Tao, Y., Winkler, M.: Boundedness in a quasilinear parabolic-parabolic Keller–Segel system with subcritical sensitivity. J. Differ. Equ. 252, 692–715 (2012)
Tao, Y., Winkler, M.: Eventual smoothness and stabilization of large-data solutions in a three-dimensional chemotaxis system with consumption of chemoattractant. J. Differ. Equ. 252, 2520–2543 (2012)
Tao, Y., Winkler, M.: Global smooth solvability of a parabolic-elliptic nutrient taxis system in domains of arbitrary dimension. J. Differ. Equ. 267, 388–406 (2019)
Tao, Y., Winkler, M.: Boundedness and stabilization in a population model with cross-diffusion for one species. Proc. Lond. Math. Soc. 3(119), 1598–1632 (2019)
Tello, J.I., Wrzosek, D.: Predator-prey model with diffusion and indirect prey-taxis. Math. Models Methods Appl. Sci. 26, 2129–2162 (2016)
Tindall, M.J., Maini, P.K., Porter, S.L., Armitage, J.P.: Overview of mathematical approaches used to model bacterial chemotaxis. II. Bacterial populations. Bull. Math. Biol. 70, 1570–1607 (2008)
Tuval, I., Cisneros, L., Dombrowski, C., Wolgemuth, C.W., Kessler, J.O., Goldstein, R.E.: Bacterial swimming and oxygen transport near contact lines. Proc. Natl. Acad. Sci. U.S.A. 102, 2277–2282 (2005)
Wang, J.P., Wang, M.X.: The dynamics of a predator-prey model with diffusion and indirect prey-taxis. J. Dyn. Differ. Equ. 32, 1291–1310 (2020)
Winkler, M.: Global large-data solutions in a chemotaxis-(Navier–)Stokes system modeling cellular swimming in fluid drops. Commun. Partial Differ. Equ. 37, 319–351 (2012)
Winkler, M.: Finite-time blow-up in the higher-dimensional parabolic-parabolic Keller–Segel system. J. Math. Pures Appl. 100, 748–767 (2013). arXiv:1112.4156v1
Winkler, M.: Asymptotic homogenization in a three-dimensional nutrient taxis system involving food-supported proliferation. J. Differ. Equ. 263, 4826–4869 (2017)
Wu, S., Shi, J., Wu, B.: Global existence of solutions and uniform persistence of a diffusive predator-prey model with prey-taxis. J. Differ. Equ. 260, 5847–5874 (2016)
Xiang, T.: Global dynamics for a diffusive predator-prey model with prey-taxis and classical Lotka–Volterra kinetics. Nonlinear Anal. Real World Appl. 39, 278–299 (2018)
Zhao, X.E., Hu, B.: The impact of time delay in a tumor model. Nonlinear Anal. Real World Appl. 51, 103015 (2020)
Acknowledgements
Y. Tao acknowledges support of the National Natural Science Foundation of China (No. 11861131003).
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Hu, B., Tao, Y. Critical mass of lymphocytes for the coexistence in a chemotaxis system modeling tumor–immune cell interactions. Z. Angew. Math. Phys. 71, 167 (2020). https://doi.org/10.1007/s00033-020-01405-6
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DOI: https://doi.org/10.1007/s00033-020-01405-6