A quantitative study on the role of TKI combined with Wnt/β-catenin signaling and IFN-α in the treatment of CML through deterministic and stochastic approaches

Pan, S and Raha, S and Chakrabarty, SP (2020) A quantitative study on the role of TKI combined with Wnt/β-catenin signaling and IFN-α in the treatment of CML through deterministic and stochastic approaches. In: Chaos, Solitons and Fractals, 133 .

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Abstract

We propose deterministic and stochastic models for studying the pharmacokinetics of chronic myeloid leukemia (CML), in the presence of CTL immune response, upon administration of IFN-α (the traditional treatment for CML), TKI (the current frontline medication for CML) and Wnt/β-catenin signaling (the state-of-the art therapeutic breakthrough for CML). To the best of our knowledge, no mathematical model incorporating all these three therapeutic protocols are available in literature. The stability analysis of the system equilibria is undertaken in terms of a threshold parameter. Further, this work introduces a stochastic approach in the study of CML dynamics. The evolution of the dynamics for both the deterministic and the stochastic models are examined. This study addresses the question of how the dual therapy of TKI and Wnt/β-catenin signaling or triple combination of all three, offers potentially improved therapeutic responses, particularly in terms of reducing side effects of TKI or IFN-α. The probability of CML extinction/remission based on the level of CML stem cells at detection is also predicted.

Item Type:	Journal Article
Publication:	Chaos, Solitons and Fractals
Publisher:	Elsevier Ltd
Additional Information:	Copyright for this article belongs to Elsevier Ltd
Keywords:	Stem cells; Stochastic systems, Chronic myeloid leukemias; CTL immune response; Ctl response; Quantitative study; Stochastic approach; Therapeutic protocols; Threshold parameters; Triple combinations, Stochastic models
Department/Centre:	Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited:	10 Jun 2020 11:15
Last Modified:	10 Jun 2020 11:15
URI:	http://eprints.iisc.ac.in/id/eprint/64500

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