Modeling Cancer in HIV-1 Infected Individuals: Equilibria, Cycles and Chaotic Behavior

  • Received: 01 September 2005 Accepted: 29 June 2018 Published: 01 February 2006
  • MSC : 92C60.

  • For HIV-infected individuals, cancer remains a significant burden. Gaining insight into the epidemiology and mechanisms that underlie AIDS-related cancers can provide us with a better understanding of cancer immunity and viral oncogenesis. In this paper, an HIV-1 dynamical model incorporating the AIDS-related cancer cells was studied. The model consists of three components, cancer cells, healthy CD4+ T lymphocytes and infected CD4+ T lymphocytes, and can have six steady states. We discuss the existence, the stability properties and the biological meanings of these steady states, in particular for the positive one: cancer-HIV-healthy cells steady state. We find conditions for Hopf bifurcation of the positive steady state, leading to periodic solutions, sequences of period doubling bifurcations and appearance of chaos. Further, chaos and periodic behavior alternate. Our results are consistent with some clinical and experimental observations.

    Citation: Jie Lou, Tommaso Ruggeri, Claudio Tebaldi. Modeling Cancer in HIV-1 Infected Individuals: Equilibria, Cycles and Chaotic Behavior[J]. Mathematical Biosciences and Engineering, 2006, 3(2): 313-324. doi: 10.3934/mbe.2006.3.313

    Related Papers:

    [1] Juan Wang, Chunyang Qin, Yuming Chen, Xia Wang . Hopf bifurcation in a CTL-inclusive HIV-1 infection model with two time delays. Mathematical Biosciences and Engineering, 2019, 16(4): 2587-2612. doi: 10.3934/mbe.2019130
    [2] Bing Li, Yuming Chen, Xuejuan Lu, Shengqiang Liu . A delayed HIV-1 model with virus waning term. Mathematical Biosciences and Engineering, 2016, 13(1): 135-157. doi: 10.3934/mbe.2016.13.135
    [3] Xiaohong Tian, Rui Xu, Jiazhe Lin . Mathematical analysis of an age-structured HIV-1 infection model with CTL immune response. Mathematical Biosciences and Engineering, 2019, 16(6): 7850-7882. doi: 10.3934/mbe.2019395
    [4] A. M. Elaiw, N. H. AlShamrani . Stability of HTLV/HIV dual infection model with mitosis and latency. Mathematical Biosciences and Engineering, 2021, 18(2): 1077-1120. doi: 10.3934/mbe.2021059
    [5] Jinhu Xu, Yicang Zhou . Bifurcation analysis of HIV-1 infection model with cell-to-cell transmission and immune response delay. Mathematical Biosciences and Engineering, 2016, 13(2): 343-367. doi: 10.3934/mbe.2015006
    [6] Haitao Song, Weihua Jiang, Shengqiang Liu . Virus dynamics model with intracellular delays and immune response. Mathematical Biosciences and Engineering, 2015, 12(1): 185-208. doi: 10.3934/mbe.2015.12.185
    [7] Patrick W. Nelson, Michael A. Gilchrist, Daniel Coombs, James M. Hyman, Alan S. Perelson . An Age-Structured Model of HIV Infection that Allows for Variations in the Production Rate of Viral Particles and the Death Rate of Productively Infected Cells. Mathematical Biosciences and Engineering, 2004, 1(2): 267-288. doi: 10.3934/mbe.2004.1.267
    [8] Shingo Iwami, Shinji Nakaoka, Yasuhiro Takeuchi . Mathematical analysis of a HIV model with frequency dependence and viral diversity. Mathematical Biosciences and Engineering, 2008, 5(3): 457-476. doi: 10.3934/mbe.2008.5.457
    [9] Yu Yang, Gang Huang, Yueping Dong . Stability and Hopf bifurcation of an HIV infection model with two time delays. Mathematical Biosciences and Engineering, 2023, 20(2): 1938-1959. doi: 10.3934/mbe.2023089
    [10] Urszula Foryś, Jan Poleszczuk . A delay-differential equation model of HIV related cancer--immune system dynamics. Mathematical Biosciences and Engineering, 2011, 8(2): 627-641. doi: 10.3934/mbe.2011.8.627
  • For HIV-infected individuals, cancer remains a significant burden. Gaining insight into the epidemiology and mechanisms that underlie AIDS-related cancers can provide us with a better understanding of cancer immunity and viral oncogenesis. In this paper, an HIV-1 dynamical model incorporating the AIDS-related cancer cells was studied. The model consists of three components, cancer cells, healthy CD4+ T lymphocytes and infected CD4+ T lymphocytes, and can have six steady states. We discuss the existence, the stability properties and the biological meanings of these steady states, in particular for the positive one: cancer-HIV-healthy cells steady state. We find conditions for Hopf bifurcation of the positive steady state, leading to periodic solutions, sequences of period doubling bifurcations and appearance of chaos. Further, chaos and periodic behavior alternate. Our results are consistent with some clinical and experimental observations.


  • This article has been cited by:

    1. Fathalla A. Rihan, Duaa H. Abdel Rahman, Delay differential model for tumour–immune dynamics with HIV infection of CD4+T-cells, 2013, 90, 0020-7160, 594, 10.1080/00207160.2012.726354
    2. Jorge Duarte, Cristina Januário, Nuno Martins, C. Correia Ramos, Carla Rodrigues, Josep Sardanyés, Optimal homotopy analysis of a chaotic HIV-1 model incorporating AIDS-related cancer cells, 2018, 77, 1017-1398, 261, 10.1007/s11075-017-0314-0
    3. Jie Lou, Tommaso Ruggeri, A time delay model about AIDS-related cancer: equilibria, cycles and chaotic behavior, 2007, 56, 0035-5038, 195, 10.1007/s11587-007-0013-6
    4. Qingzhi Wen, Jie Lou, The global dynamics of a model about HIV-1 infection in vivo, 2009, 58, 0035-5038, 77, 10.1007/s11587-009-0048-y
    5. Parvaiz Ahmad Naik, Kolade M. Owolabi, Mehmet Yavuz, Jian Zu, Chaotic dynamics of a fractional order HIV-1 model involving AIDS-related cancer cells, 2020, 140, 09600779, 110272, 10.1016/j.chaos.2020.110272
    6. Joseph Páez Chávez, Burcu Gürbüz, Carla M.A. Pinto, The effect of aggressive chemotherapy in a model for HIV/AIDS-cancer dynamics, 2019, 75, 10075704, 109, 10.1016/j.cnsns.2019.03.021
    7. F.A. Rihan, D.H. Abdel Rahman, S. Lakshmanan, A.S. Alkhajeh, A time delay model of tumour–immune system interactions: Global dynamics, parameter estimation, sensitivity analysis, 2014, 232, 00963003, 606, 10.1016/j.amc.2014.01.111
    8. Ana R. M. Carvalho, Carla M. A. Pinto, New developments on AIDS-related cancers: The role of the delay and treatment options, 2018, 41, 01704214, 8915, 10.1002/mma.4657
    9. A delay-differential equation model of HIV related cancer--immune system dynamics, 2011, 8, 1551-0018, 627, 10.3934/mbe.2011.8.627
    10. Zulqurnain Sabir, Salem Ben Said, Qasem Al-Mdallal, Artificial intelligent solvers for the HIV-1 system including AIDS based on the cancer cells, 2023, 26673053, 200309, 10.1016/j.iswa.2023.200309
    11. José García Otero, Mariusz Bodzioch, Juan Belmonte-Beitia, On the dynamics and optimal control of a mathematical model of neuroblastoma and its treatment: Insights from a mathematical model, 2024, 34, 0218-2025, 1235, 10.1142/S0218202524500210
    12. Zulqurnain Sabir, Sahar Dirani, Sara Bou Saleh, Mohamad Khaled Mabsout, Adnène Arbi, A Novel Radial Basis and Sigmoid Neural Network Combination to Solve the Human Immunodeficiency Virus System in Cancer Patients, 2024, 12, 2227-7390, 2490, 10.3390/math12162490
    13. Haneche Nabil, Tayeb Hamaizia, A three-dimensional discrete fractional-order HIV-1 model related to cancer cells, dynamical analysis and chaos control, 2024, 4, 2791-8564, 256, 10.53391/mmnsa.1484994
  • Reader Comments
  • © 2006 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2926) PDF downloads(588) Cited by(13)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog