Mathematical model of brain tumour growth with drug resistance
Jos\'e Trobia, Kun Tian, Antonio Marcos Batista, Celso Grebogi,, Hai-Peng Ren, Moises Souza Santos, Paulo Ricardo Protachevicz, Fernando da, Silva Borges, Jos\'e Danilo Szezech Jr, Ricardo Luiz Viana, Iber\^e Luiz, Caldas, Kelly Cristiane Iarosz
TL;DR
This paper develops a mathematical model to understand glioma growth and drug resistance, demonstrating that both continuous and pulsed chemotherapy can effectively target glioma cells while sparing neurons.
Contribution
It introduces a novel mathematical framework incorporating drug resistance in glioma growth and evaluates chemotherapy strategies within this model.
Findings
Chemotherapy can kill glioma cells effectively.
Pulsed chemotherapy is comparable to continuous in efficacy.
Neuronal loss is minimized during treatment.
Abstract
Brain tumours are masses of abnormal cells that can grow in an uncontrolled way in the brain. There are different types of malignant brain tumours. Gliomas are malignant brain tumours that grow from glial cells and are identified as astrocytoma, oligodendroglioma, and ependymoma. We study a mathematical model that describes glia-neuron interaction, glioma, and chemotherapeutic agent. In this work, we consider drug sensitive and resistant glioma cells. We show that continuous and pulsed chemotherapy can kill glioma cells with a minimal loss of neurons.
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