Umut H. Toprak

TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

TL;DR: It is demonstrated that a significant proportion of institutionally diagnosed CNS-PNETs display molecular profiles indistinguishable from those of various other well-defined CNS tumor entities, facilitating diagnosis and appropriate therapy for patients with these tumors.

TL;DR: This study uncovers recurrent gene rearrangements such as NRG1 fusions as disease-driving events in KRASwt tumors, thereby providing novel insights into oncogenic signaling and new therapeutic options in this entity.

TL;DR: The results highlight the dependency of cytostatic drugs and pharmacogenomic associations on culture systems, and guide culture selection for drug tests, and highlight the importance of standardization in cancer drug screening.

TL;DR: Arriba as mentioned in this paper is a novel fusion detection algorithm with high sensitivity and short runtime, which was applied to a large collection of published pancreatic cancer samples (n = 803) and identified a variety of driver fusions, many of which affected druggable proteins.