Jeff Wintersinger

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: Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

TL;DR: Whole-genome sequencing of 2,778 tumour samples from 2,658 donors is used to reconstruct the life history, evolution of mutational processes, and driver mutation sequences of 39 cancer types, suggesting a window of opportunity for early cancer detection.

TL;DR: In this article, the authors extensively characterize intra-tumor heterogeneity (ITH) across whole-genome sequences of 2,658 cancer samples spanning 38 cancer types and identify cancer type-specific subclonal patterns of driver gene mutations, fusions, structural variants, and copy number alterations.

TL;DR: The presence of multiple subclones in an index biopsy may be necessary, but not sufficient, for relapse of localized prostate cancer, suggesting that evolution-aware biomarkers should be studied in prospective studies of low-risk tumors suitable for active surveillance.