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Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

Authors :
Stefan C. Dentro
Ignaty Leshchiner
Kerstin Haase
Maxime Tarabichi
Jeff Wintersinger
Amit G. Deshwar
Kaixian Yu
Yulia Rubanova
Geoff Macintyre
Jonas Demeulemeester
Ignacio Vázquez-García
Kortine Kleinheinz
Dimitri G. Livitz
Salem Malikic
Nilgun Donmez
Subhajit Sengupta
Pavana Anur
Clemency Jolly
Marek Cmero
Daniel Rosebrock
Steven E. Schumacher
Yu Fan
Matthew Fittall
Ruben M. Drews
Xiaotong Yao
Thomas B.K. Watkins
Juhee Lee
Matthias Schlesner
Hongtu Zhu
David J. Adams
Nicholas McGranahan
Charles Swanton
Gad Getz
Paul C. Boutros
Marcin Imielinski
Rameen Beroukhim
S. Cenk Sahinalp
Yuan Ji
Martin Peifer
Inigo Martincorena
Florian Markowetz
Ville Mustonen
Ke Yuan
Moritz Gerstung
Paul T. Spellman
Wenyi Wang
Quaid D. Morris
David C. Wedge
Peter Van Loo
Santiago Gonzalez
David D. Bowtell
Peter J. Campbell
Shaolong Cao
Elizabeth L. Christie
Yupeng Cun
Kevin J. Dawson
Roland Eils
Dale W. Garsed
Gavin Ha
Lara Jerman
Henry Lee-Six
Thomas J. Mitchell
Layla Oesper
Myron Peto
Benjamin J. Raphael
Adriana Salcedo
Ruian Shi
Seung Jun Shin
Lincoln D. Stein
Oliver Spiro
Shankar Vembu
David A. Wheeler
Tsun-Po Yang
Department of Computer Science
Organismal and Evolutionary Biology Research Programme
Institute of Biotechnology
Helsinki Institute for Information Technology
Bioinformatics
Source :
Cell, vol 184, iss 8, PCAWG Evolution and Heterogeneity Working Group, PCAWG Consortium & Wedge, D C 2021, ' Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes ', Cell, vol. 184, no. 8, pp. 2239-2254.e39 . https://doi.org/10.1016/j.cell.2021.03.009, Cell
Publication Year :
2021

Abstract

Summary 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.<br />Graphical abstract<br />Highlights • Pan-cancer resource of comprehensively annotated intra-tumor heterogeneity (ITH) • ITH is pervasive across cancers and shows cancer type-specific patterns • Branching phylogenies are common • Dynamic changes in mutational processes between subclonal expansions<br />Dentro et al. provide a comprehensive annotation of intra-tumor heterogeneity and its drivers in cancer evolution.

Details

Language :
English
ISSN :
00928674
Database :
OpenAIRE
Journal :
Cell, vol 184, iss 8, PCAWG Evolution and Heterogeneity Working Group, PCAWG Consortium & Wedge, D C 2021, ' Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes ', Cell, vol. 184, no. 8, pp. 2239-2254.e39 . https://doi.org/10.1016/j.cell.2021.03.009, Cell
Accession number :
edsair.doi.dedup.....bb531f63564192b68acc8f428aac07cd
Full Text :
https://doi.org/10.1016/j.cell.2021.03.009