SEMINAR UT Center for Computational Oncology
On the last 23 of March, our PhD student Marina Pérez Aliacar gave a Seminar for the Center of Computational Oncology at the University of Texas. She explained part of her work developing mathematical models to study epigenetic and cell adaptation processes involved in tumour evolution, particularly in glioblastoma, the most common and lethal brain tumour. Glioblastoma evolution is mainly driven by oxygen gradients; the adaptation and response of cells to hypoxia is one of the leading hypotheses behind this tumour aggressiveness. Moreover, treatment resistance is one of the main challenges in the fight against glioblastoma. The mathematical models that we are developing in TMELab may help us to better understand these processes, which are crucial in the progression of glioblastoma, as well as to test and propose new hypotheses and treatment options.
