This area of research is motivated by the understanding that the progression of cancers including gliomas and their responses to treatment result from the complex interplay between molecules, cells, externally-induced perturbations and other clinically relevant factors. We aim to enable the generation of novel knowledge with prognostic or therapeutic potential.
To address this challenge, we integrate a wide range of large-scale “omics” information through different computational and statistical modeling techniques. This offers deeper views of the multifaceted biological interaction networks that underlie different tumor types and their responses to treatment. Furthermore, we exploit these techniques and knowledge to investigate network-directed perturbations with potential clinical relevance. The implementation of such prediction models, including their experimental validation and software development, involves a diverse set of complementary skills at the Norlux Neuro-Oncology Laboratory and abroad.