An Agent-Based Model (ABM) of glioblastoma infiltrationinto surrounding healthy brain tissue is presented. Themodel incorporates variable cell movement rates and replicationrates depending on internal energy levels, thus representing thehistory of residency of the cells in the energy-poor core orenergy-rich edge regions of the original tumor spheroid. Themodel is able to reproduce the fragmented infiltration frontof glioblastoma and is quantitatively consistent with reporteddata of glioblastoma growth and spread. While basic, the modelcan be easily expanded to include different cell sub-populations,study the interaction of tumor and immune system and exploredifferent 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 infiltrationinto surrounding healthy brain tissue is presented. Themodel incorporates variable cell movement rates and replicationrates depending on internal energy levels, thus representing thehistory of residency of the cells in the energy-poor core orenergy-rich edge regions of the original tumor spheroid. Themodel is able to reproduce the fragmented infiltration frontof glioblastoma and is quantitatively consistent with reporteddata of glioblastoma growth and spread. While basic, the modelcan be easily expanded to include different cell sub-populations,study the interaction of tumor and immune system and exploredifferent 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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