Tumor invasion marks one of the last stages of tumor progression and emerges from the combined effect of tumor cell proliferation, migration and microenvironment interactions such as tumor-induced vasculature, immune cells, etc.. In the case of glioblastoma, the most common primary brain tumor, cell invasiveness into the surrounding brain tissue is particularly critical and is typically related to a poor prognosis and quality of life.
Despite intense research efforts over the past years with many biological insights, very little clinical progress has been made, with median survival for glioblastoma still less than 2 years and cure an impossibility. The use of mathematical and computational methods has the potential to improve the understanding of the complex biology of this disease, which may allow for more rational and effective therapies.
In this minisymposium, colocated at the European Conference on Mathematical and Theoretical Biology (ECMTB) in Gothenburg, young and senior researchers present novel mathematical models proposed to decipher the complex nature of glioma invasion. Special attention is also given to studies that provide insights into the evolution of benign brain tumors to invasive malignant gliomas, including the most aggressive of them known as secondary glioblastoma.
Mathilde Badoual, Paris VII University, Paris, France
Katrin Böttger, Dresden University of Technology, Dresden, Germany
Thomas Buder, Dresden University of Technology, Dresden, Germany
Philip Gerlee, Moffitt Cancer Center, Tampa, USA
Juan Carlos López Alfonso, Dresden University of Technology, Dresden, Germany
Alicia Martínez Gonzalez, University of Castilla La Mancha, Ciudad Real, Spain
Russel Rockne, Northwestern University, Chicago, USA
Kristin Swanson, Northwestern University, Chicago, USA
|14:10 - 14:20||Andreas Deutsch||Introduction|
|14:20 - 14:45||Philip Gerlee||The Influence of phenotypic switching on tumor growth rate and cell density||Haralambos Hatzikirou|
|14:45 - 15:10||Katrin Boettger||Investigation of the effect of phenotypic plasticity on tumor growth|
|15:10 - 15:35||Alicia Martínez-González||In-silico glioma models: what can we take advantage for the clinical practice?|
|15:35 - 16:00||Coffee Break|
|16:00 - 16:25||Kristin R. Swanson||Quantifying changes in glioma biology with treatment using modeling of edema formation and clinical imaging||Jacob Scott|
|16:25 - 16:50||Mathilde Badoual||An edema-based model for diffuse low-grade gliomas under radiotherapy|
|16:50 - 17:15||Juan Carlos López Alfonso||Modeling dose-painting effects in radiotherapy by means of an agent based model|
|17:15 - 17:40||Russel Rockne||A data-driven calibration of a nonlinear mechanistic model for DNA damage and repair: applications to radiosurgery and heavy ion irradiation treatment for glioblastoma|
|17:40 - 18:05||Thomas Buder||Linear dependency between residual tumor fraction and regression probability can provide decision support after partial resection of pilocytic astrocytoma|
|18:05 - 18:30|| Alvaro Köhn-Luque|
|Round table discussion and closing|