We present a mathematical model for the complex system for the growth of a solid tumor. The system embeds proliferation of cells depending on the surrounding oxygen field, hypoxia caused by insufficient oxygen when the tumor reaches a certain size, consequent VEGF release and angiogenic new vasculature growth, re-oxygenation of the tumor and subsequent tumor growth restart. Specifically cancerous cells are represented by individual units, interacting as proliferating particles of a solid body, oxygen, and VEGF are fields with a source and a sink, and new angiogenic vasculature is described by a network of growing curves. The model, as shown by numerical simulations, captures both the time-evolution of the tumor growth before and after angiogenesis and its spatial properties, with different distribution of proliferating and hypoxic cells in the external and deep layers of the tumor, and the spatial structure of the angiogenic network. The microscopic description of the growth opens the possibility of tuning the model to patient-specific scenarios.

The Mathematical modeling of Cancer growth and angiogenesis by an individual based interacting system / Ricci, Cristiano; Leocata, Marta; Flandoli, Franco. - In: JOURNAL OF THEORETICAL BIOLOGY. - ISSN 0022-5193. - 562:(2023), pp. 1-12. [10.1016/j.jtbi.2023.111432]

The Mathematical modeling of Cancer growth and angiogenesis by an individual based interacting system

Cristiano Ricci;Marta Leocata
;
2023

Abstract

We present a mathematical model for the complex system for the growth of a solid tumor. The system embeds proliferation of cells depending on the surrounding oxygen field, hypoxia caused by insufficient oxygen when the tumor reaches a certain size, consequent VEGF release and angiogenic new vasculature growth, re-oxygenation of the tumor and subsequent tumor growth restart. Specifically cancerous cells are represented by individual units, interacting as proliferating particles of a solid body, oxygen, and VEGF are fields with a source and a sink, and new angiogenic vasculature is described by a network of growing curves. The model, as shown by numerical simulations, captures both the time-evolution of the tumor growth before and after angiogenesis and its spatial properties, with different distribution of proliferating and hypoxic cells in the external and deep layers of the tumor, and the spatial structure of the angiogenic network. The microscopic description of the growth opens the possibility of tuning the model to patient-specific scenarios.
2023
Angiogenesis, Stochastic modeling, Tumor growth, Cancer modeling
The Mathematical modeling of Cancer growth and angiogenesis by an individual based interacting system / Ricci, Cristiano; Leocata, Marta; Flandoli, Franco. - In: JOURNAL OF THEORETICAL BIOLOGY. - ISSN 0022-5193. - 562:(2023), pp. 1-12. [10.1016/j.jtbi.2023.111432]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11385/235002
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