Daniel Hänggi

TL;DR: This work presents a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and shows that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods.

TL;DR: Recommendations were developed based on literature review using the GRADE system, discussion integrating the literature with the collective experience of the participants and critical review by an impartial jury and emphasis was placed on the principle that recommendations should be based not only on the quality of the data but also tradeoffs and translation into practice.

TL;DR: Compared with WHO grading, classification by individual and combined methylation classes more accurately identifies patients at high risk of disease progression in tumours with WHO grade I histology, and patients at lower risk of recurrence among WHO grade II tumours.

TL;DR: A biologically relevant direct synaptic communication between neurons and glioma cells in different disease models and human tumours is reported: functional bona fide chemical synapses between presynaptic neurons and postsynaptic gliomatic cells.

TL;DR: An oncometabolite produced by tumor cells acts as a paracrine immunosuppressant dampening antitumor T cell responses in glioma, attribute a novel, non-tumor cell-autonomous role to an oncomETabolite in shaping the tumor immune microenvironment.