IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v357y2019icp199-205.html
   My bibliography  Save this article

Survival analysis for tumor cells in stochastic switching environment

Author

Listed:
  • Li, Dongxi
  • Zhao, Yue

Abstract

In this paper, a competition model between tumor cells and immune system with random switching environment is proposed and investigated. The stochastic switching environment is assumed to be telegraph noise expressed as multi-state Markov chain. The theoretical threshold for extinction and persistence of tumor cells are obtained. Besides, stochastic simulations are performed to substantiate and interpret the conclusions. It is found that stochastic switching environment plays an important part in the process of tumor evolution. The simple model proposed in our paper is conducive to understand the theoretical mechanism between tumor cells and immune system under random environment.

Suggested Citation

  • Li, Dongxi & Zhao, Yue, 2019. "Survival analysis for tumor cells in stochastic switching environment," Applied Mathematics and Computation, Elsevier, vol. 357(C), pages 199-205.
  • Handle: RePEc:eee:apmaco:v:357:y:2019:i:c:p:199-205
    DOI: 10.1016/j.amc.2019.04.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300319302863
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2019.04.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Das, Parthasakha & Das, Samhita & Das, Pritha & Rihan, Fathalla A. & Uzuntarla, Muhammet & Ghosh, Dibakar, 2021. "Optimal control strategy for cancer remission using combinatorial therapy: A mathematical model-based approach," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:357:y:2019:i:c:p:199-205. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.