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Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal

Authors :
Emma Nye
Ben Phillimore
Nicholas McGranahan
Gordon Stamp
Archana Fernando
José I. López
Thomas B.K. Watkins
Hang Xu
Lisa Pickering
Kevin Litchfield
David Nicol
Sharmin Begum
Mariam Jamal-Hanjani
Lewis Au
Sharanpreet Lall
Lavinia Spain
Mary Varia
Nicolai Juul Birkbak
Steve Hazell
Eva Grönroos
Nicholas M. Luscombe
Mark Stares
Martin Gore
Alexander Polson
Aspasia Soultati
Ben Challacombe
Marcin Krzystanek
Nicos Fotiadis
Tim Chambers
Aengus Stewart
Ismaeel Aurangzeb
James Larkin
Dezso Ribli
Adam Huffman
Rachel Rosenthal
Orsolya Pipek
Max Salm
Peter J. Campbell
Charles Swanton
Catherine Horsfield
Samra Turajlic
Mickael Escudero
Bruno Silva
Faiz Jabbar
Thomas J. Mitchell
Zoltan Szallasi
Roland F. Schwarz
Simon Chowdhury
Sarkhara Sharma
Ashish Chandra
Sebastijan Hobor
Stuart Horswell
Wei Xing
Gareth A. Wilson
Sophia Ward
Tim O'Brien
Stefan Boeing
Claudia Eichler-Jonsson
Javier Herrero
Andrew Rowan
Nik Matthews
István Csabai
Peter Van Loo
Jonathan C. Smith
Carolina Navas
Greg Elgar
Joanna Lynch
Marta Costa
Sarah Rudman
Rosalie Fisher
Source :
Turajlic, S, Xu, H, Litchfield, K, Rowan, A, Horswell, S, Chambers, T, O'Brien, T, Lopez, J I, Watkins, T B K, Nicol, D, Stares, M, Challacombe, B, Hazell, S, Chandra, A, Mitchell, T J, Au, L, Eichler-Jonsson, C, Jabbar, F, Soultati, A, Chowdhury, S, Rudman, S, Lynch, J, Fernando, A, Stamp, G, Nye, E, Stewart, A, Xing, W, Smith, J C, Escudero, M, Huffman, A, Matthews, N, Elgar, G, Phillimore, B, Costa, M, Begum, S, Ward, S, Salm, M, Boeing, S, Fisher, R, Spain, L, Navas, C, Grönroos, E, Hobor, S, Sharma, S, Aurangzeb, I, Lall, S, Polson, A, Varia, M, Horsfield, C, Fotiadis, N, Pickering, L, Schwarz, R F, Silva, B, Herrero, J, Luscombe, N M, Jamal-Hanjani, M, Rosenthal, R, Birkbak, N J, Wilson, G A, Ribli, D, Pipek, O, Krzystanek, M, Csabai, I, Szallasi, Z I, Gore, M, McGranahan, N, Van Loo, P, Campbell, P, Larkin, J & Swanton, C 2018, ' Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal ', Cell, vol. 173, no. 3, e11, pp. 595-610 . https://doi.org/10.1016/j.cell.2018.03.043, Addi. Archivo Digital para la Docencia y la Investigación, instname
Publication Year :
2018

Abstract

The evolutionary features of clear-cell renal cell carcinoma (ccRCC) have not been systematically studied to date. We analyzed 1,206 primary tumor regions from 101 patients recruited into the multi-center prospective study, TRACERx Renal. We observe up to 30 driver events per tumor and show that subclonal diversification is associated with known prognostic parameters. By resolving the patterns of driver event ordering, co-occurrence, and mutual exclusivity at clone level, we show the deterministic nature of clonal evolution. ccRCC can be grouped into seven evolutionary subtypes, ranging from tumors characterized by early fixation of multiple mutational and copy number drivers and rapid metastases to highly branched tumors with > 10 subclonal drivers and extensive parallel evolution associated with attenuated progression. We identify genetic diversity and chromosomal complexity as determinants of patient outcome. Our insights reconcile the variable clinical behavior of ccRCC and suggest evolutionary potential as a biomarker for both intervention and surveillance. We thank Aida Murra, Naheed Shaikh, Justine Korteweg, Jeremy Tai, Eleanor Carlyle, Leonora Conneely, KimEdmonds, Karla Lingard, Karen O'Meara, Helen Breeze, Sarah Sarker, Lesley Cooper, Linda Shephard, Susie Slater, and Catherine Rogers for study support. We thank the patients and their families. S.T. and H.X. are funded by Cancer Research UK (CRUK) (C50947/A18176). S.T., T.C., J.L., and M.G. are funded by the National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) at the Royal Marsden Hospital and Institute of Cancer Research (A109). J.I.L. is funded by the Ministerio de Economia y Competitividad (MINECO, SAF2016-79847-R). M.S., A.S., J. Lynch, R.F., L.A., and L.S. are funded by the Royal Marsden Cancer Charity. K.L. is funded by UK Medical Research Council (MR/P014712/1). T.B.K.W. is funded by the European Union Seventh Framework Programme (FP7-People-2013-ITN). M.J.-H. is funded by the NIHR. N.M.L. is a Winton Group Leader in recognition of the Winton Charitable Foundation's support towards the establishment of The Francis Crick Institute. N.M.L. is additionally funded by a Wellcome Trust Joint Investigator Award (103760/Z/14/Z) and the MRC eMedLab Medical Bioinformatics Infrastructure Award (MR/L016311/1). M.K. is funded by the Danish Cancer Society grant (R90-A6213). P.C. is funded by the Wellcome Trust (WT088340MA). N.M. receives funding from CRUK, Rosetrees, and the NIHR BRC at University College London Hospitals. C.S. is a Royal Society Napier Research Professor. C.S. is funded by Cancer Research UK (TRACERx and CRUK Cancer Immunotherapy Catalyst Network), the CRUK Lung Cancer Centre of Excellence, Stand Up 2 Cancer (SU2C), the Rosetrees and Stoneygate Trusts, NovoNordisk Foundation (THESEUS), Marie Curie Network PloidyNet, the NIHR BRC at University College London Hospitals, and the CRUK University College London Experimental Cancer Medicine Centre. C.S., O.P., D.R., I.C., and Z.S. are funded by NovoNordisk Foundation (16584). O.P., D.R., and I.C. are funded by the National Research, Development and Innovation Office of Hungary (NVKP_16-1-20160004). This work was supported by CRUK (Clinical Scientist Fellowship to S.T., C50947/A18176), The Francis Crick Institute, which receives its core funding from Cancer Reseach UK (FC010110), the UK Medical Research Council (FC010110), the Wellcome Trust (FC010110), and NIHR BRC at the Royal Marsden Hospital and Institute of Cancer Research (A109). High-performance computing was supported by eMedLab. The results published here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/.

Details

Language :
English
Database :
OpenAIRE
Journal :
Turajlic, S, Xu, H, Litchfield, K, Rowan, A, Horswell, S, Chambers, T, O'Brien, T, Lopez, J I, Watkins, T B K, Nicol, D, Stares, M, Challacombe, B, Hazell, S, Chandra, A, Mitchell, T J, Au, L, Eichler-Jonsson, C, Jabbar, F, Soultati, A, Chowdhury, S, Rudman, S, Lynch, J, Fernando, A, Stamp, G, Nye, E, Stewart, A, Xing, W, Smith, J C, Escudero, M, Huffman, A, Matthews, N, Elgar, G, Phillimore, B, Costa, M, Begum, S, Ward, S, Salm, M, Boeing, S, Fisher, R, Spain, L, Navas, C, Grönroos, E, Hobor, S, Sharma, S, Aurangzeb, I, Lall, S, Polson, A, Varia, M, Horsfield, C, Fotiadis, N, Pickering, L, Schwarz, R F, Silva, B, Herrero, J, Luscombe, N M, Jamal-Hanjani, M, Rosenthal, R, Birkbak, N J, Wilson, G A, Ribli, D, Pipek, O, Krzystanek, M, Csabai, I, Szallasi, Z I, Gore, M, McGranahan, N, Van Loo, P, Campbell, P, Larkin, J & Swanton, C 2018, ' Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal ', Cell, vol. 173, no. 3, e11, pp. 595-610 . https://doi.org/10.1016/j.cell.2018.03.043, Addi. Archivo Digital para la Docencia y la Investigación, instname
Accession number :
edsair.doi.dedup.....d622d9e406e6e2589f5c1f9901f920d3
Full Text :
https://doi.org/10.1016/j.cell.2018.03.043