We are part of the EU funded project “individualized paediatric cure- iPC” (https://ipc-project.eu/) that aims to find novel therapeutic routes for children with cancer based on systems biological analysis and modeling of large scale genomic, transcriptomic and proteomic data sets. High grade glioma patients from the open-PBTA dataset would strongly benefit from such analysis. For this project, we want to model in-silico drug responses of an initial cohort of ~20 patients with our mechanistic ModCell model. This will take into account the SNVs/Indels, copy number losses and gene fusions, essentially based on the available processed data.
What are the goals of this project?
We will use a computer model to find potential drug treatments for high grade glioma patients.
The Children's Brain Tumor Network contributed to this project by providing access to the Pediatric Brain Tumor Atlas.
Adam Resnick, PhD
Adam Resnick is the Director of Data Driven Discovery in Biomedicine (D3b) at Children’s Hospital of Philadelphia (CHOP) responsible for leading a multidisciplinary team to build and support a scalable, patient-focused healthcare and educational discovery ecosystem on behalf of all children. He i
Children’s Hospital of Philadelphia
High-grade glioma/astrocytoma (WHO grade III/IV)
High-grade Gliomas (HGG) in children nearly always result in a dismal prognosis. Although novel therapeutic approaches are currently in development, preclinical testing has been limited, due to a lack of pediatric specific HGG preclinical models. These models are needed to help test the effective