Michael F. Berger

TL;DR: The results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents and the generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of ‘personalized’ therapeutic regimens.

TL;DR: Remodelling cellular metabolism constitutes a recurrent pattern in ccRCC that correlates with tumour stage and severity and offers new views on the opportunities for disease treatment.

TL;DR: Analysis of advanced cancer patients treated with immune-checkpoint inhibitors shows that tumor mutational burden, as assessed by targeted next-generation sequencing, predicts survival after immunotherapy across multiple cancer types.

TL;DR: A large-scale, prospective clinical sequencing initiative using a comprehensive assay, MSK-IMPACT, through which tumor and matched normal sequence data from a unique cohort of more than 10,000 patients with advanced cancer are compiled and identified clinically relevant somatic mutations, novel noncoding alterations, and mutational signatures that were shared by common and rare tumor types.

TL;DR: In this article, the authors analyzed whole-exome sequencing data from 74 tumor-normal pairs and found that at least 30% of cases harbored mutations in genes that regulate squamous differentiation (for example, NOTCH1, IRF6, and TP63), implicating its dysregulation as a major driver of HNSCC carcinogenesis.