Exploiting GLIOblastoma intractability to address European research TRAINing needs in translational brain tumour research, cancer systems medicine and integrative multi-omics
This collaborative project is funded under Horizon 2020 – Innovative Training Networks (ITN) under the call H2020-EU.1.3.1. – Fostering new skills by means of excellent initial training of researchers.
Glioblastoma (GBM) is the most frequent, aggressive and lethal of all brain tumours. It has a universally fatal prognosis with 85% of patients dying within two years. New treatment options and effective precision medicine therapies are urgently required. This can only be achieved by focused multi-sectoral industry-academia collaborations in newly emerging, innovative research disciplines. GLIOTRAIN will exploit the intractability of GBM to address European applied biomedical research training needs. The ETN, which comprises 9 beneficiaries and 14 partner organisations from 8 countries, will train 15 innovative, creative and entrepreneurial ESRs. The research objective of GLIOTRAIN is to identify novel therapeutic strategies for application in GBM, while implementing state of the art next generation sequencing, systems medicine and integrative multi-omics to unravel disease resistance mechanisms. Research activities incorporate applied systems medicine, integrative multi-omics leveraging state of the art platform technologies, and translational cancer biology implementing the latest clinically relevant models. The consortium brings together leading European and international academics, clinicians, private sector and not-for-profit partners across GBM fields of tumour biology, multi-omics, drug development, clinical research, bioinformatics, computational modelling and systems biology.
Thus, GLIOTRAIN will address currently unmet translational research and clinical needs in the GBM field by interrogating innovative therapeutic strategies and improving the mechanistic understanding of disease resistance. The GLIOTRAIN ETN addresses current needs in academia and the private sector for researchers that have been trained in an environment that spans translational research, medicine and computational biology, and that can navigate confidently between clinical, academic and private sector environments to progress applied research findings towards improved patient outcomes.
Using the geneXplain platform, the task of one of the trainees will be to identify combinations of transcription factors which bind to drug-resistance-specific enhancers in the genome and to reveal master regulators responsible for the dysregulation of gene expression in resistant GBM. Goals are (i) to release an open software prototype for prediction of GBM drug-resistance-specific enhancers in the genome using “upstream analysis”, (ii) to model signaling cascades activated in resistant GBM and identification of master regulators, and (iii) to identify master-regulator-based biomarkers of resistance.