Abstract
In this paper, we propose a general acute myeloid leukemia (AML) model and introduce an immune response and time delays into this model to investigate their effects on the dynamics. Based on the existence, stability and local bifurcation of three types of equilibria, we show that the immune response is a best strategy for the control of the AML on the condition that the rates of proliferation and differentiation of the hematopoietic lineage exceed a threshold. In particular, a powerful immune response leads to a bistability feature meaning there exist the leukemia cells and healthy cells in the bone marrow or only the healthy cells. In addition, we further reveal that the time delays in the feedback regulation and immune response process induce a series of oscillations around the steady state, which shows that the leukemia cells are hardly eliminated. Our work in this paper aims to investigate the complex dynamics of this AML model with the immune response and time delays on the basis of mathematical models and numerical simulations, which may provide a theoretical guidance for the treatments of the AML.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Estey, E., Döhner, H.: Acute myeloid leukaemia. Lancet 368, 1894–1907 (2006)
Khwaja, A., Bjorkholm, M., Gale, R., et al.: Acute myeloid leukaemia. Nat. Rev. Dis. Primers 2, 16010 (2016)
Lapidot, T., Sirard, C., Vormoor, J., et al.: A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature 367, 645–648 (1994)
Bonnet, D., Dick, J.: Human acute myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cell. Nat. Med. 3, 730–737 (1997)
Passegué, E., Jamieson, C., Ailles, L., Weissman, I.: Normal and leukemic hematopoiesis: are leukemias a stem cell disorder or a reacquisition of stem cell characteristics. Proc. Natl. Acad. Sci. 100, 11842–11849 (2003)
Döhner, H., Estey, E., Amadori, S., et al.: Diagnosis and management of acute myeloid leukemia in adults: recommendations from an international expert panel on behalf of the European Leukemia Net. Blood 115, 453–474 (2010)
Linker, C.: Autologous stem cell transplantation for acute myeloid leukemia. Bone Marrow Transplant. 3(1), 731–738 (2003)
Schuurhuis, G., Meel, M., Wouters, F., et al.: Normal hematopoietic stem cells within the AML bone marrow have a distinct and higher ALDH activity level than co-existing leukemic stem cells. PLoS One 8, e78897 (2013)
Saito, Y., Uchida, N., Tanaka, S., et al.: Induction of cell cycle entry eliminates human leukemia stem cells in a mouse model of AML. Nat. Biotechnol. 28, 275–280 (2010)
Andersen, L., Mackey, M.: Resonance in periodic chemotherapy: a case study of acute myelogenous leukemia. J. Theor. Biol. 209, 113–130 (2001)
Dean, M., Fojo, T., Bates, S.: Tumour stem cells and drug resistance. Net. Rev. Cancer 5, 275–284 (2005)
Roeder, I., Loeffler, M.: A novel dynamic model of hematopoietic stem cell organization based on the concept of within-tissue plasticity. Exp. Hematol. 30, 853–861 (2002)
Liso, A., Castiglione, F., Cappuccio, A., et al.: A one-mutation mathematical model can explain the age incidence of acute myeloid leukemia with mutated nucleophosmin (NPM1). Haematologica 93, 1219–1226 (2008)
Cucuianu, A., Precup, R.: A hypothetical-mathematical model of acute myeloid leukaemia pathogenesis. Comput. Math. Methods Med. 11, 49–65 (2010)
Tan, B., Park, C., Ailles, L., Weissman, I.: The cancer stem cell hypothesis: a work in progress. Lab. Invest. 86, 1203–1207 (2006)
Stiehl, T., Baran, N., Ho, A., Marciniak-Czochra, A.: Clonal selection and therapy resistance in acute leukaemias: mathematical modelling explains different proliferation patterns at diagnosis and relapse. J. R. Soc. Interface 11, 20140079 (2014)
Stiehl, T., Baran, N., Ho, A., Marciniak-Czochra, A.: Cell division patterns in acute myeloid leukemia stem-like cells determine clinical course: a model to predict patient survival. Cancer Res. 75, 940–949 (2015)
Stiehl, T., Marciniak-Czochra, A.: Mathematical modeling of leukemogenesis and cancer stem cell dynamics. Math. Model. Nat. Phenom. 7, 166–202 (2012)
MacLean, A., Filippi, S., Stumpf, M.: The ecology in the hematopoietic stem cell niche determines the clinical outcome in chronic myeloid leukemia. Proc. Natl. Acad. Sci. 111, 3883–3888 (2014)
Cozzio, A., Passegué, E., Ayton, P., et al.: Similar MLL-associated leukemias arising from self-renewing stem cells and short-lived myeloid progenitors. Genes Dev. 17, 3029–3035 (2003)
Goardon, N., Marchi, E., Atzberger, A., et al.: Coexistence of LMPP-like and GMP-like leukemia stem cells in a cute myeloid leukemia. Cancer Cell 19, 138–152 (2011)
Leo, D., Wagers, A.: Dynamic niches in the origination and differentiation of haematopoietic stem cells. Nat. Rev. Mol. Cell Biol. 12, 643–655 (2011)
Marciniak-Czochra, A., Stiehl, T., Ho, A., Jäger, W., Wagner, W.: Modeling of asymmetric cell division in hematopoietic stem cells-regulation of self-renewal is essential for efficient repopulation. Stem Cells Dev. 18, 377–385 (2009)
Lo, W., Chou, C., Gokoffski, K., et al.: Feedback regulation in multistage cell lineages. Math. Biosci. Eng. 6, 59–82 (2009)
Rodriguez-Brenes, I., Komarova, N., Wodarz, D.: Evolutionary dynamics of feedback escape and the development of stem-cell-driven cancers. Proc. Natl. Acad. Sci. 108, 18983–18988 (2011)
Lander, A., Gokoffski, K., Wan, F., Nie, Q., Calof, A.: Cell lineages and the logic of proliferative control. PLoS Biol. 7, e1000015 (2009)
Pirayesh, B., Pazirandeh, A., Akbari, M.: Local bifurcation analysis in nuclear reactor dynamics by Sotomayor’s theorem. Ann. Nucl. Energy 94, 716–731 (2016)
Crowell, H., MacLean, A., Stumpf, M.: Feedback mechanisms control coexistence in a stem cell model of acute myeloid leukaemia. J. Theor. Biol. 401, 43–53 (2016)
Jiao, J., Luo, M., Wang, R.: Feedback regulation in a stem cell model with acute myeloid leukaemia. BMC Syst. Biol. 12, 43 (2018)
Sharp, J., Browning, A., Mapder, T., Burrage, K., Simpson, M.: Optimal control of acute myeloid leukaemia. J. Theor. Biol. 470, 30–42 (2019)
An, Q., Beretta, E., Kuang, Y., Wang, C., Wang, H.: Geometric stability switch criteria in delay differential equations with two delays and delay dependent parameters. J. Differ. Equ. 266, 7073–7100 (2019)
Austina, R., Smythab, M., Lane, S.: Harnessing the immune system in acute myeloid leukaemia. Crit. Rev. Oncol. Hematol. 103, 62–77 (2016)
Song, Z., Xu, J.: Self-/mutual-symmetric rhythms and their coexistence in a delayed half-center oscillator of the CPG neural system. Nonlinear Dyn. 108, 2595–2609 (2022)
Chen, J., Xiao, J., Qiao, L., Xu, J.: Dynamics of scroll waves with time-delay propagation in excitable media. Commun. Nonlinear Sci. Numer. Simul. 59, 331–337 (2018)
Stépán, G.: Great delay in a predator-prey model. Nonlinear Anal. 10, 913–929 (1986)
Niculescu, S., Kim, P., Gu, K., Lee, P., Levy, D.: Stability crossing boundaries of delay systems modeling immune dynamics in leukemia. Discrete Cont. Dyn. Syst. B 13, 129–156 (2010)
Yang, L., Sun, W., Turcotte, M.: Coexistence of hopf-born rotation and heteroclinic cycling in a time-delayed three-gene auto-regulated and mutually-repressed core genetic regulation network. J. Theor. Biol. 27, 110831 (2021)
Yao, H., Price, T., Cantelli, G., et al.: Leukaemia hijacks a neural mechanism to invade the central nervous system. Nature 560, 55–60 (2018)
Pirayesh, B., Pazirandeh, A., Akbari, M.: Local bifurcation analysis in nuclear reactor dynamics by Sotomayor’s theorem. Ann. Nucl. Energy 94, 716–731 (2016)
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This work was supported by the National Natural Science Foundation of China (No. 11902106).
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Appendix
Appendix
1.1 A. Numerical simulations
The non-delayed bifurcation diagrams are performed by Oscill8 software and the delayed bifurcation diagrams are performed by DDE-BIFTOOL, a Matlab toolbox for bifurcation analysis of time-delayed systems, and others are finished by the Matlab.
1.2 B. Denotations of involved parameters
1.3 C. Representations of the parameters
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Sun, W., Yang, L. & Luo, M. Effects of immune response and time delays in models of acute myeloid leukemia. Nonlinear Dyn 110, 1789–1805 (2022). https://doi.org/10.1007/s11071-022-07697-9
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DOI: https://doi.org/10.1007/s11071-022-07697-9