Eric Minwei Liu

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: This large-scale analysis of 206 adult soft tissue sarcomas reveals previously unappreciated sarcoma-type-specific changes in copy number, methylation, RNA, and protein, providing insights into refining Sarcoma therapy and relationships to other cancer types.

TL;DR: In mice, FGFR inhibitors slowed the growth of tumors driven by the TACC-FGFR gene, suggesting that a subset of glioblastoma patients may benefit from these types of drugs, and a fusion gene detected in a small subset of human brain tumors encodes a potentially druggable target.

TL;DR: An analytic pipeline and visualization tool (metabolograms) is developed to bridge the gap between TCGA transcriptomic profiling and metabolomic data, which enables to assemble an integrated pathway-level metabolic atlas and to demonstrate discordance between transcriptome and metabolome.