| Literature DB >> 33831375 |
Stefan C Dentro1, Ignaty Leshchiner2, Kerstin Haase3, Maxime Tarabichi4, Jeff Wintersinger5, Amit G Deshwar5, Kaixian Yu6, Yulia Rubanova5, Geoff Macintyre7, Jonas Demeulemeester8, Ignacio Vázquez-García9, Kortine Kleinheinz10, Dimitri G Livitz2, Salem Malikic11, Nilgun Donmez12, Subhajit Sengupta13, Pavana Anur14, Clemency Jolly3, Marek Cmero15, Daniel Rosebrock2, Steven E Schumacher2, Yu Fan6, Matthew Fittall3, Ruben M Drews7, Xiaotong Yao16, Thomas B K Watkins17, Juhee Lee18, Matthias Schlesner19, Hongtu Zhu6, David J Adams20, Nicholas McGranahan21, Charles Swanton22, Gad Getz23, Paul C Boutros24, Marcin Imielinski16, Rameen Beroukhim25, S Cenk Sahinalp11, Yuan Ji26, Martin Peifer27, Inigo Martincorena20, Florian Markowetz7, Ville Mustonen28, Ke Yuan29, Moritz Gerstung30, Paul T Spellman14, Wenyi Wang6, Quaid D Morris31, David C Wedge32, Peter Van Loo33.
Abstract
Intra-tumor heterogeneity (ITH) is a mechanism of therapeutic resistance and therefore an important clinical challenge. However, the extent, origin, and drivers of ITH across cancer types are poorly understood. To address this, we extensively characterize ITH across whole-genome sequences of 2,658 cancer samples spanning 38 cancer types. Nearly all informative samples (95.1%) contain evidence of distinct subclonal expansions with frequent branching relationships between subclones. We observe positive selection of subclonal driver mutations across most cancer types and identify cancer type-specific subclonal patterns of driver gene mutations, fusions, structural variants, and copy number alterations as well as dynamic changes in mutational processes between subclonal expansions. Our results underline the importance of ITH and its drivers in tumor evolution and provide a pan-cancer resource of comprehensively annotated subclonal events from whole-genome sequencing data.Entities:
Keywords: branching evolution; cancer driver genes; cancer evolution; intra-tumor heterogeneity; pan-cancer genomics; subclonal reconstruction; tumor phylogeny; whole-genome sequencing
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Year: 2021 PMID: 33831375 PMCID: PMC8054914 DOI: 10.1016/j.cell.2021.03.009
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582