An Agent-Based Model (ABM) of glioblastoma infiltration into surrounding healthy brain tissue is presented. The model incorporates variable cell movement rates and replication rates depending on internal energy levels, thus representing the history of residency of the cells in the energy-poor core or energy-rich edge regions of the original tumor spheroid. The model is able to reproduce the fragmented infiltration front of glioblastoma and is quantitatively consistent with reported data of glioblastoma growth and spread. While basic, the model can be easily expanded to include different cell sub-populations, study the interaction of tumor and immune system and explore different treatment scenarios with a view to personalized therapy.

An Agent-Based Model of Glioblastoma Infiltration

Marcello Pompa;Simona Panunzi;Alessandro Borri;Andrea De Gaetano
2023

Abstract

An Agent-Based Model (ABM) of glioblastoma infiltration into surrounding healthy brain tissue is presented. The model incorporates variable cell movement rates and replication rates depending on internal energy levels, thus representing the history of residency of the cells in the energy-poor core or energy-rich edge regions of the original tumor spheroid. The model is able to reproduce the fragmented infiltration front of glioblastoma and is quantitatively consistent with reported data of glioblastoma growth and spread. While basic, the model can be easily expanded to include different cell sub-populations, study the interaction of tumor and immune system and explore different treatment scenarios with a view to personalized therapy.
2023
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
Istituto per la Ricerca e l'Innovazione Biomedica -IRIB
Agent-Based Model
Glioblastoma
Cancer
Infiltration
Personalized therapy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/453268
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