2023 Volume 13 Issue 2
Article Contents

Jingnan Wang, Shengnan Liu. PERSISTENCE AND EXTINCTION OF THE TUMOR-IMMUNE STOCHASTIC MODEL WITH EFFECTOR CELLS AND CYTOKINES[J]. Journal of Applied Analysis & Computation, 2023, 13(2): 655-670. doi: 10.11948/20210464
Citation: Jingnan Wang, Shengnan Liu. PERSISTENCE AND EXTINCTION OF THE TUMOR-IMMUNE STOCHASTIC MODEL WITH EFFECTOR CELLS AND CYTOKINES[J]. Journal of Applied Analysis & Computation, 2023, 13(2): 655-670. doi: 10.11948/20210464

PERSISTENCE AND EXTINCTION OF THE TUMOR-IMMUNE STOCHASTIC MODEL WITH EFFECTOR CELLS AND CYTOKINES

  • Corresponding author: Email: wangjingnan@hrbust.edu.cn(J. Wang) 
  • Fund Project: The authors were supported by National Natural Science Foundation of China (11801122)
  • To investigate the effects of microenvironment on the tumor growth and the loss rates of effector cells and cytokine, we present a stochastic tumor-immune model with the treatment response of effector cells assisted by cytokine to tumor growth. By using the comparison theorem, the Itô formula and the law of large numbers, we prove the existence of globally unique positive solution and obtain the sufficient conditions for the extinction and the persistence of tumor cells. Moreover, using our theoretical results, we perform some numerical simulations to show that different noise intensities lead to different states of tumor cells, including tumor extinction and tumor persistence, which confirms the obtained theoretical results and is useful for theoretical guidance of inhibiting tumor growth in clinical medicine.

    MSC: 34F05, 34E10, 92C50
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  • [1] J. A. Adam and N. Bellomo, A Survey of Models for Tumor-Immune System Dynamics, Boston: Birkhauser, 1997. ISBN 978-1-4612-6408-8.

    Google Scholar

    [2] R. C. Augustin, G. M. Delgoffe and Y. G. Najjar, Characteristics of the tumor microenvironment that influence immune cell functions: Hypoxia, Oxidative Stress, Metabolic Alterations, Cancers, 2020, 12(12), 3802. doi: 10.3390/cancers12123802

    CrossRef Google Scholar

    [3] S. Bhatt, K. A. Sarosiek and I. S. Lossos, Interleukin 21-its potential role in the therapy of B-cell lymphomas, Leukemia Lymphoma, 2017, 58(1), 17–29. doi: 10.1080/10428194.2016.1201568

    CrossRef Google Scholar

    [4] S. Banerjee and R. Sarkar, Delay-induced model for tumor-immune interaction and control of malignant tumor growth, Biosystems, 2008, 91(1), 268–288. doi: 10.1016/j.biosystems.2007.10.002

    CrossRef Google Scholar

    [5] L. G. DePillis and A. Radunskaya, A mathematical tumor model with immune resistance and drug therapy: an optimal control approach, J. Theor. Med., 2001, 3(2), 79–100. doi: 10.1080/10273660108833067

    CrossRef Google Scholar

    [6] W. Guo and D. Mei, Stochastic resonance in a tumor-immune system subject to bounded noises and time delay, Physica A., 2014, 416(2), 90–98.

    Google Scholar

    [7] Y. Guo, W. Zhao and X. Ding, Input-to-state stability for stochastic multi-group models with multi-dispersal and time-varying delay, Appl. Math. Comput., 2019, 343, 114–127.

    Google Scholar

    [8] C. Ji, D. Jiang and X. Li, Qualitative analysis of a stochastic ration-dependent predator-prey system, J. Comput. Appl. Math., 2011, 235(1), 1326–1341.

    Google Scholar

    [9] C. Ji and D. Jiang, Dynamics of a stochastic density dependent predator-prey system with Beddington-DeAngelis functional response, J. Math. Anal. Appl., 2011, 381(1), 441–453. doi: 10.1016/j.jmaa.2011.02.037

    CrossRef Google Scholar

    [10] C. Ji, The threshold for a stochastic HIV-1 infection model with Beddington-DeAngelis incidence rate, Appl. Math. Model., 2018, 64, 168–184. doi: 10.1016/j.apm.2018.07.031

    CrossRef Google Scholar

    [11] M. Kudo, Scientific rationale for combined immunotherapy with PD-1/PD-L1 antibodies and VEGF inhibitors in advanced hepatocellular Carcinoma, Cancers, 2020, 12(5), 1089. doi: 10.3390/cancers12051089

    CrossRef Google Scholar

    [12] D. Kirschner and J. C. Panetta, Modeling immunotherapy of the tumor-immune interaction, J. Math. Biol., 1998, 37(3), 235–252. doi: 10.1007/s002850050127

    CrossRef Google Scholar

    [13] L. Liu, Y. Cao, C. Chen, et al, Sorafenib blocks the RAF/MEK/ERK pathway, inhibits tumor angiogenesis, and induces tumor cell apoptosis in hepatocellular carcinoma model PLC/PRF/5, Cancer Res., 2006, 66(24), 11851–11858. doi: 10.1158/0008-5472.CAN-06-1377

    CrossRef Google Scholar

    [14] D. Li and Y. Li, Stochastic responses of tumor-immune system with periodic treatment, Chinese Phys. B., 2017, 26(9), 29–36.

    Google Scholar

    [15] D. Li and F. Cheng, Threshold for extinction and survival in stochastic tumor immune system, Commun. Nonlinear Sci., 2017, 51, 1–12. doi: 10.1016/j.cnsns.2017.03.007

    CrossRef Google Scholar

    [16] M. Liu and K. Wang, Persistence and extinction of a stochastic single-specie model under regime switching in a polluted environment Ⅱ, J. Theor. Biol., 2010, 267(3), 283–291. doi: 10.1016/j.jtbi.2010.08.030

    CrossRef Google Scholar

    [17] J. Ma, D. Ma and C. Ji, The role of IL-21 in hematological malignancies, Cytokine, 2011, 56(2), 133–139. doi: 10.1016/j.cyto.2011.07.011

    CrossRef Google Scholar

    [18] G. E. Mahlbacher, K. C. Reihmer and H. B. Frieboes, A mathematical modeling of tumor-immune cell interactions, J. Theor. Biol., 2019, 469, 47–60. doi: 10.1016/j.jtbi.2019.03.002

    CrossRef Google Scholar

    [19] X. Mao, Stochastic Differential Equations and Their Applications(Second Edition), Chichester: Horwood Publishing, 2007. ISBN 978-1-904275-34-3.

    Google Scholar

    [20] X. Mao, G. Marion and E. Renshaw, Environmental Brownian noise suppresses explosions in population dynamics, Stoch. Proc. Appl., 2002, 97(1), 95–110. doi: 10.1016/S0304-4149(01)00126-0

    CrossRef Google Scholar

    [21] B. Niu, Y. Gou and Y. Du, Hopf bifurcation induced by delay effect in diffusive tumor-immune system, Int. J. Bifurcat. Chaos, 2018, 28(11), 1–14.

    Google Scholar

    [22] T. A. Phan and J. P. Paneta, Basic stochastic model for tumor virotherapy, Math. Biosci. Eng., 2020, 17(4), 4271–4294. doi: 10.3934/mbe.2020236

    CrossRef Google Scholar

    [23] E. Planten, N. Ikeda and S. Watanabe, Stochastic Differential Equations and Diffusion Processes(Second Edition), North-Holland Mathcmnticnl Library, 1989. ISBN 0-444-87378-3.

    Google Scholar

    [24] Y. Senbabaoglu, R. S. Gejman, A. G. Winer, et al, Tumor immune microenvironment characterization in clear cell renal cell carcinoma identifies prognostic and immunotherapeutically relevant messenger RNA signatures, Genome Biol., 2016, 17(1), 231. doi: 10.1186/s13059-016-1092-z

    CrossRef Google Scholar

    [25] H. Saito, H. Shibayama, H. Miyoshi, et al, The influence of tumor immune microenvironment and tumor immunity on the pathogenesis, treatment and prognosis of post-transplant lymphoproliferative disorders (ptld), Hematol. Oncol., 2019, 37(S2), 200–201.

    Google Scholar

    [26] N. Zhang, J. Lei and W. Li, Hybrid multi-delay impulsive control for synchronisation of multi-links stochastic delayed complex networks with semi-Markov jump, Int. J. Control, 2021. DOI: 10.1080/00207179.2021.1989046.

    CrossRef Google Scholar

    [27] Y. Zhai, P. Wang and H. Su, Stabilization of stochastic complex networks with delays based on completely aperiodically intermittent control, Nonlinear Anal. Hybri., 2021, 42, 101074.

    Google Scholar

    [28] H. Zhou, Q. Jiang, W. Li, et al, Stability of stochastic Lévy noise coupled systems with mixed delays, Int. J. Control, 2022, 95(1), 234–248.

    Google Scholar

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