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The evolutionary history of 2,658 cancers

Authors :
Gerstung, M.
Jolly, C.
Leshchiner, I.
Dentro, S.C.
Gonzalez, S.
Rosebrock, D.
Mitchell, T.J.
Rubanova, Y.
Anur, P.
Yu, K.
Tarabichi, M.
Deshwar, A.G.
Wintersinger, J.
Kleinheinz, K.
Vázquez-García, I.
Haase, K.
Jerman, L.
Sengupta, Subhajit
Macintyre, G.
Malikic, S.
Donmez, N.
Livitz, D.G.
Cmero, M.
Demeulemeester, J.
Schumacher, S.
Fan, Y.
Yao, X.
Lee, J.
Schlesner, M.
Boutros, P.C.
Bowtell, D.D.
Zhu, H.
Getz, G.
Imielinski, M.
Beroukhim, R.
Sahinalp, S.C.
Ji, Y.
Peifer, M.
Markowetz, F.
Mustonen, V.
Yuan, K.
Wang, W.
Morris, Q.D.
Adams, D.J.
Campbell, P.J.
Cao, S.
Christie, E.L.
Cun, Y.
Dawson, K.J.
Drews, R.M.
Eils, R.
Fittall, M.
Garsed, D.W.
Ha, G.
Lee-Six, H.
Martincorena, I.
Oesper, L.
Peto, M.
Raphael, B.J.
Salcedo, A.
Sengupta, S.
Shi, R.
Shin, S.J.
Spiro, O.
Stein, L.D.
Vembu, S.
Wheeler, D.A.
Yang, T.-P.
Spellman, P.T.
Wedge, D.C.
Van Loo, P.
Apollo - University of Cambridge Repository
Organismal and Evolutionary Biology Research Programme
Helsinki Institute for Information Technology
Institute of Biotechnology
Bioinformatics
Department of Computer Science
Doctoral Programme in Computer Science
Markowetz, Florian [0000-0002-2784-5308]
Source :
Nature, vol 578, iss 7793, Nature, 578, 122-128, Nature, Nature, 578, 7793, pp. 122-128, Gerstung, M, Jolly, C, Leshchiner, I, Dentro, S C, Gonzalez, S, Rosebrock, D, Mitchell, T J, Rubanova, Y, Anur, P, Yu, K, Tarabichi, M, Deshwar, A G, Wintersinger, J, Kleinheinz, K, Vázquez-García, I, Haase, K, Jerman, L, Sengupta, S, Macintyre, G, Malikic, S, Donmez, N, Livitz, D G, Cmero, M, Demeulemeester, J, Schumacher, S, Fan, Y, Yao, X, Lee, J, Schlesner, M, Boutros, P C, Bowtell, D D, Zhu, H, Getz, G, Imielinski, M, Beroukhim, R, Sahinalp, S C, Ji, Y, Peifer, M, Markowetz, F, Mustonen, V, Yuan, K, Wang, W, Morris, Q D, Dentro, S C, Leshchiner, I, Gerstung, M, Jolly, C, Haase, K, Tarabichi, M, Wintersinger, J, Deshwar, A G, Yu, K, Gonzalez, S, Rubanova, Y, Macintyre, G, Adams, D J, Anur, P, Beroukhim, R, Boutros, P C, Bowtell, D D, Campbell, P J, Cao, S, Christie, E L, Cmero, M, Cun, Y, Dawson, K J, Donmez, N, Drews, R M, Eils, R, Fan, Y, Fittall, M, Garsed, D W, Getz, G, Ha, G, Imielinski, M, Jerman, L, Ji, Y, Kleinheinz, K, Lee, J, Lee-Six, H, Livitz, D G, Malikic, S, Markowetz, F, Martincorena, I, Mitchell, T J, Mustonen, V, Oesper, L, Peifer, M, Peto, M, Raphael, B J, Rosebrock, D, Sahinalp, S C, Salcedo, A, Schlesner, M, Schumacher, S, Sengupta, S, Shi, R, Shin, S J, Spiro, O, Stein, L D, Vázquez-García, I, Vembu, S, Wheeler, D A, Yang, T-P, Yao, X, Yuan, K, Zhu, H, Wang, W, Morris, Q D, Spellman, P T, Wedge, D C, Van Loo, P, Spellman, P T & Wedge, D C 2020, ' The evolutionary history of 2,658 cancers ', Nature, vol. 578, no. 7793, pp. 122-128 . https://doi.org/10.1038/s41586-019-1907-7
Publication Year :
2020

Abstract

Cancer develops through a process of somatic evolution1,2. Sequencing data from a single biopsy represent a snapshot of this process that can reveal the timing of specific genomic aberrations and the changing influence of mutational processes3. Here, by whole-genome sequencing analysis of 2,658 cancers as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA)4, we reconstruct the life history and evolution of mutational processes and driver mutation sequences of 38 types of cancer. Early oncogenesis is characterized by mutations in a constrained set of driver genes, and specific copy number gains, such as trisomy 7 in glioblastoma and isochromosome 17q in medulloblastoma. The mutational spectrum changes significantly throughout tumour evolution in 40% of samples. A nearly fourfold diversification of driver genes and increased genomic instability are features of later stages. Copy number alterations often occur in mitotic crises, and lead to simultaneous gains of chromosomal segments. Timing analyses suggest that driver mutations often precede diagnosis by many years, if not decades. Together, these results determine the evolutionary trajectories of cancer, and highlight opportunities for early cancer detection.<br />Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

Details

ISSN :
00280836
Volume :
578
Database :
OpenAIRE
Journal :
Nature
Accession number :
edsair.doi.dedup.....a891fdaa058cb17c6b08024ab762a118
Full Text :
https://doi.org/10.1038/s41586-019-1907-7