New published paper

Our latest research article on glioblastoma modelling, entitled “Modelling glioblastoma resistance to temozolomide. A mathematical model to simulate cellular adaptation in vitro.” has been published in the journal Computers in Biology and Medicine.

 This multidisciplinary paper, by our members Marina Pérez Aliacar, Jacobo Ayensa Jiménez, Teodora Ranđelović, Ignacio Ochoa Garrido and Manuel Doblaré, presents a mathematical model of cellular adaptation using internal variables to simulate glioblastoma adaptation to temozolomide and the eventual resistance acquisition.

 Temozolomide (TMZ) is the only drug approved for chemotherapy in primary glioblastomas, but many patients develop resistance to it, rendering resistance as one of the main challenges in the design of new and successful treatments. In this work, we combine in vitro models of glioblastoma spheroids treated with TMZ with in silico models, with the aim of improving our understanding of the underlying phenomena.

 The model incorporates an internal variable that determines the phenotypic state of the cell, which is affected by exposure to TMZ and in turn affects cell behaviour.

 After a calibration and model selection procedure, we show that our model is able to quantitatively reproduce the experimental results, and that can be useful to get biological insights.

The paper can be accessed in this link: https://www.sciencedirect.com/science/article/pii/S001048252400951X

Besides, the code is publicly available in Github: https://github.com/mperezaliacar/GBM_TMZ_adaptationmodel

Great work and congratulations to all the authors!