Therapy Optimization in Glioblastoma: An integrative human data-based approach using mathematical models (Stage II)
Glioblastoma is the deadliest human primary brain tumor. Therapeutic advances in recent years have been marginal, in spite of many ideas being explored. We intend to add the mathematical dimension to these efforts to provide a new perspective on these problems. To do so, high-quality data are necessary. Thus, this collaborative activity aims to create a cooperative framework to bring together a broad range of human data of glioblastoma patients: multimodal imaging, omics, immunohistochemical and molecular biology characterization of tumor cells, etc. It also requires the development of pilot experiments to validate ideas coming from mathematical models.
Funding entity
James S. Mc. Donnell Foundation (USA) (2018-2021)
University of Castilla-La Mancha
Principal investigator
3 years