Parvaiz Ahmad Naik, Bijal M Yeolekar, Sania Qureshi, Mehmet Yavuz, Zhengxin Huang, Mahesh Yeolekar
{"title":"Fractional Insights in Tumor Modeling: An Interactive Study Between Tumor Carcinogenesis and Macrophage Activation","authors":"Parvaiz Ahmad Naik, Bijal M Yeolekar, Sania Qureshi, Mehmet Yavuz, Zhengxin Huang, Mahesh Yeolekar","doi":"10.1002/adts.202401477","DOIUrl":null,"url":null,"abstract":"Biological studies have shown that macrophages play a dual role in cancer dynamics. Through the secretion of different factors, they can modulate the tumor microenvironment and directly interact with tumor cells. Active macrophages, more precisely tumor-associated macrophages (TAM), can secrete substances that increase the proliferation and survival of tumor cells, thus promoting tumor growth. This study explores the dynamic interactions between tumor carcinogenesis and macrophage activation through a newly developed mathematical model using the Caputo sense fractional operator. The main focus is to analyze the influence of macrophage polarization on tumor progression and cancer development. To precisely capture the dynamic behavior of macrophage-tumor interactions, the model is verified for qualitative analysis. The fixed points of the model are obtained and their stability analysis is carried out. It is started by explaining the essential components of the model and then assuring its mathematical reliability. The Adams–Bashforth–Moulton method (ABM) is also discussed to show its applicability and efficiency for the numerical results of the developed model. The findings shed light on cancer progress, potential analyses, and the influence of public information. The outcome of the study offers a more detailed understanding of possible treatment targets by highlighting the delicate balance between macrophage pro- and anti-tumor effects. The outcomes might improve public health policy, healthcare budget apportionment, and contest tumors and related infections. Further, it improves the understanding of tumor-immune system interactions and lays the solid basis for cancer treatment research. Finally, numerical simulations make our outcomes more significant.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"13 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Theory and Simulations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/adts.202401477","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Biological studies have shown that macrophages play a dual role in cancer dynamics. Through the secretion of different factors, they can modulate the tumor microenvironment and directly interact with tumor cells. Active macrophages, more precisely tumor-associated macrophages (TAM), can secrete substances that increase the proliferation and survival of tumor cells, thus promoting tumor growth. This study explores the dynamic interactions between tumor carcinogenesis and macrophage activation through a newly developed mathematical model using the Caputo sense fractional operator. The main focus is to analyze the influence of macrophage polarization on tumor progression and cancer development. To precisely capture the dynamic behavior of macrophage-tumor interactions, the model is verified for qualitative analysis. The fixed points of the model are obtained and their stability analysis is carried out. It is started by explaining the essential components of the model and then assuring its mathematical reliability. The Adams–Bashforth–Moulton method (ABM) is also discussed to show its applicability and efficiency for the numerical results of the developed model. The findings shed light on cancer progress, potential analyses, and the influence of public information. The outcome of the study offers a more detailed understanding of possible treatment targets by highlighting the delicate balance between macrophage pro- and anti-tumor effects. The outcomes might improve public health policy, healthcare budget apportionment, and contest tumors and related infections. Further, it improves the understanding of tumor-immune system interactions and lays the solid basis for cancer treatment research. Finally, numerical simulations make our outcomes more significant.
期刊介绍:
Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including:
materials, chemistry, condensed matter physics
engineering, energy
life science, biology, medicine
atmospheric/environmental science, climate science
planetary science, astronomy, cosmology
method development, numerical methods, statistics