Carlota Rubio-Perez

TL;DR: This study reports a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising all 33 of The Cancer Genome Atlas projects) and using 26 computational tools to catalog driver genes and mutations, identifying 299 driver genes with implications regarding their anatomical sites and cancer/cell types.

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: An integrated portrait of the CLL genomic landscape is provided, new recurrent driver mutations of the disease are identified, and clinical interventions that may improve the management of this neoplasia are suggested.

TL;DR: The Cancer Genome Interpreter is presented, a versatile platform that automates the interpretation of newly sequenced cancer genomes, annotating the potential of alterations detected in tumors to act as drivers and their possible effect on treatment response.

TL;DR: A comprehensive assessment of the scope of targeted therapeutic agents in a large pan-cancer cohort and an in silico prescription strategy based on identification of the driver alterations in each tumor and their druggability options is developed.