Khalida Wani

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: It is shown that patient-derived glioma sphere cultures that resemble either the proneural (PN) or mesenchymal (MES) transcriptomal subtypes differ significantly in their biological characteristics, and it is suggested that the tumor microenvironment cell types such as macrophages/microglia may play an integral role in this process.

TL;DR: The molecular classification proposed herein outperforms the current histopathological classification and thus might serve as a basis for the next World Health Organization classification of CNS tumors.

TL;DR: It is demonstrated that adaptive immune signatures in tumor biopsy samples obtained early during the course of treatment are highly predictive of response to immune checkpoint blockade and also demonstrate differential effects on the tumor microenvironment induced by CTLA4 and PD-1 blockade.

TL;DR: Deep molecular profiling of melanoma patients treated with sequential checkpoint blockade demonstrated that a more clonal T cell repertoire was predictive of response to PD-1 but not CTLA-4 blockade, suggesting the potential utility of a combinatorial biomarker to optimize patient care with checkpoint blockade therapy.