具有广义Mittag-Leffler核的化疗药物作用下分形-分形肿瘤模型的动态分析。

IF 4.9 2区 医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer methods and programs in biomedicine Pub Date : 2024-12-24 DOI:10.1016/j.cmpb.2024.108565
Hardik Joshi , Mehmet Yavuz , Osman Taylan , Abdulaziz Alkabaa
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引用次数: 0

摘要

背景与目的:癌症的复杂性和多面性使得识别独特的分子和病理生理特征具有挑战性,从而阻碍了有效治疗方法的发展。本文提出了一种新的分形-分数癌症模型来研究干细胞、效应细胞和肿瘤细胞在化疗存在和不存在时的复杂相互作用。对经化疗药物有效治疗的肿瘤模型进行了详细的考虑和讨论。方法:给出具有广义Mittag-Leffler核的分形-分数型癌症模型的数值计算方法。应用Routh-Hurwitz稳定性判据,在一定条件下,确定了肿瘤模型的局部平衡点在不治疗和有效治疗情况下的渐近稳定性。导出了分形-分数形肿瘤模型的存在性和唯一性准则。进一步,对分形-分数型癌症模型进行了稳定性分析。结果:获得了干细胞、效应细胞、肿瘤细胞和化疗药物的时间浓度图。化疗药物的使用会杀死肿瘤细胞或随着时间的推移降低其密度,因此需要更长的时间才能达到平衡点。干细胞和肿瘤细胞的衰变速率在肿瘤动力学中起着至关重要的作用。分形维数和分数阶数在捕获癌细胞浓度中起着显著的作用。结论:分形-分数癌症模型的动态分析被证明可以用广义的Mittag-Leffler核来检查化疗药物的影响。该模型具有三个平衡点,其中两个与未治疗的肿瘤模型相对应,即无瘤平衡点和地方性平衡点。在通过化疗药物进行有效治疗的情况下,存在另一个地方性平衡点。应用Routh-Hurwitz稳定性判据,在一定条件下证实了有治疗和无治疗的癌症模型的地方性平衡点的局部渐近稳定性。化疗药物在控制肿瘤细胞生长方面起着至关重要的作用。分形-分数算子通过包含记忆和异质性,为研究癌症动力学提供了鲁棒性。
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Dynamic analysis of fractal–fractional cancer model under chemotherapy drug with generalized Mittag-Leffler kernel

Background and Objective:

Cancer’s complex and multifaceted nature makes it challenging to identify unique molecular and pathophysiological signatures, thereby hindering the development of effective therapies. This paper presents a novel fractal–fractional cancer model to study the complex interplay among stem cells, effectors cells, and tumor cells in the presence and absence of chemotherapy. The cancer model with effective treatment through chemotherapy drugs is considered and discussed in detail.

Methods:

The numerical method for the fractal–fractional cancer model with a generalized Mittag-Leffler kernel is presented. The Routh–Hurwitz stability criteria are applied to confirm the local asymptotically stability of an endemic equilibrium point of the cancer model without treatment and with effective treatment under some conditions. The existence and uniqueness criteria of the fractal–fractional cancer model are derived. Furthermore, the stability analysis of the fractal–fractional cancer model is performed.

Results:

The temporal concentration pattern of stem cells, effectors cells, tumor cells, and chemotherapy drugs are procured. The usage of chemotherapy drugs kills the tumor cells or decreases their density over time and as a consequence takes a longer time to reach to equilibrium point. The decay rate of stem cells and tumor cells plays a crucial role in cancer dynamics. The notable role of fractal dimensions along with fractional order is observed in capturing the cancer cell concentration.

Conclusion:

A dynamic analysis of the fractal–fractional cancer model is demonstrated to examine the impact of chemotherapy drugs with a generalized Mittag-Leffler kernel. The model possesses three equilibrium points among them two correspond to the cancer model without treatment namely the tumor-free equilibrium point and endemic equilibrium point. One additional endemic equilibrium point exists in the case of effective treatment through chemotherapy drugs. The Routh–Hurwitz stability criteria are applied to confirm the local asymptotically stability of an endemic equilibrium point of the cancer model with and without treatment under some conditions. The chemotherapy drug plays a crucial role in controlling the growth of tumor cells. The fractal–fractional operator provided robustness to study cancer dynamics by the inclusion of memory and heterogeneity.
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来源期刊
Computer methods and programs in biomedicine
Computer methods and programs in biomedicine 工程技术-工程:生物医学
CiteScore
12.30
自引率
6.60%
发文量
601
审稿时长
135 days
期刊介绍: To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.
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