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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-19962
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dc.contributor.authorGarcia, Victor-
dc.contributor.authorBonhoeffer, Sebastian-
dc.contributor.authorFu, Feng-
dc.date.accessioned2020-04-23T10:59:29Z-
dc.date.available2020-04-23T10:59:29Z-
dc.date.issued2020-02-06-
dc.identifier.issn0022-5193de_CH
dc.identifier.issn1095-8541de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/19962-
dc.description.abstractCancer immunotherapies rely on how interactions between cancer and immune system cells are constituted. The more essential to the emergence of the dynamical behavior of cancer growth these interactions are, the more effectively they may be used as mechanisms for interventions. Mathematical modeling can help unearth such connections, and help explain how they shape the dynamics of cancer growth. Here, we explored whether there exist simple, consistent properties of cancer-immune system interaction (CISI) models that might be harnessed to devise effective immunotherapy approaches. We did this for a family of three related models of increasing complexity. To this end, we developed a base model of CISI, which captures some essential features of the more complex models built on it. We find that the base model and its derivates can plausibly reproduce biological behavior that is consistent with the notion of an immunological barrier. This behavior is also in accord with situations in which the suppressive effects exerted by cancer cells on immune cells dominate their proliferative effects. Under these circumstances, the model family may display a pattern of bistability, where two distinct, stable states (a cancer-free, and a full-grown cancer state) are possible. Increasing the effectiveness of immune-caused cancer cell killing may remove the basis for bistability, and abruptly tip the dynamics of the system into a cancer-free state. Additionally, in combination with the administration of immune effector cells, modifications in cancer cell killing may be harnessed for immunotherapy without the need for resolving the bistability. We use these ideas to test immunotherapeutic interventions in silico in a stochastic version of the base model. This bistability-reliant approach to cancer interventions might offer advantages over those that comprise gradual declines in cancer cell numbers.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofJournal of Theoretical Biologyde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectCancerde_CH
dc.subjectCancer-immune system interactionde_CH
dc.subjectImmunotherapyde_CH
dc.subjectMathematical modelingde_CH
dc.subject.ddc616: Innere Medizin und Krankheitende_CH
dc.titleCancer-induced immunosuppression can enable effectiveness of immunotherapy through bistability generation : a mathematical and computational examinationde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.1016/j.jtbi.2020.110185de_CH
dc.identifier.doi10.21256/zhaw-19962-
dc.identifier.pmid32035826de_CH
zhaw.funding.euNode_CH
zhaw.issue110185de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume492de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.funding.snf162257de_CH
zhaw.webfeedApplied Mathematical Biologyde_CH
zhaw.funding.zhawExploring the silent fitness landscapede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Garcia, V., Bonhoeffer, S., & Fu, F. (2020). Cancer-induced immunosuppression can enable effectiveness of immunotherapy through bistability generation : a mathematical and computational examination. Journal of Theoretical Biology, 492(110185). https://doi.org/10.1016/j.jtbi.2020.110185
Garcia, V., Bonhoeffer, S. and Fu, F. (2020) ‘Cancer-induced immunosuppression can enable effectiveness of immunotherapy through bistability generation : a mathematical and computational examination’, Journal of Theoretical Biology, 492(110185). Available at: https://doi.org/10.1016/j.jtbi.2020.110185.
V. Garcia, S. Bonhoeffer, and F. Fu, “Cancer-induced immunosuppression can enable effectiveness of immunotherapy through bistability generation : a mathematical and computational examination,” Journal of Theoretical Biology, vol. 492, no. 110185, Feb. 2020, doi: 10.1016/j.jtbi.2020.110185.
GARCIA, Victor, Sebastian BONHOEFFER und Feng FU, 2020. Cancer-induced immunosuppression can enable effectiveness of immunotherapy through bistability generation : a mathematical and computational examination. Journal of Theoretical Biology. 6 Februar 2020. Bd. 492, Nr. 110185. DOI 10.1016/j.jtbi.2020.110185
Garcia, Victor, Sebastian Bonhoeffer, and Feng Fu. 2020. “Cancer-Induced Immunosuppression Can Enable Effectiveness of Immunotherapy through Bistability Generation : A Mathematical and Computational Examination.” Journal of Theoretical Biology 492 (110185). https://doi.org/10.1016/j.jtbi.2020.110185.
Garcia, Victor, et al. “Cancer-Induced Immunosuppression Can Enable Effectiveness of Immunotherapy through Bistability Generation : A Mathematical and Computational Examination.” Journal of Theoretical Biology, vol. 492, no. 110185, Feb. 2020, https://doi.org/10.1016/j.jtbi.2020.110185.


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