Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/34120
Title: Integrated signatures define mutational processes in prostate cancer
Authors: Gruber, Andreas J
Olsen, André V
Hernando, Barbara
Cheng, Kevin CL
Gerhäuser, Clarissa
Torres, Marina
Favero, Francesco
Kiriy, Daria
Fernández-Sanromán, Ángel
Roldan-Romero, Juan Maria
Barton, Lucy
Khani, Francesca
Kote-Jarai, Zsofia
Brewer, Daniel S
Yamaguchi, Takafumi N
Lamy, Philippe
Leeman, Gregory
Loda, Massimo
Pope, Bernard
Queiroz, Lucio R
Uhrig, Sebastian
Heilmann, Jessica
Xu, Yaobo
Zanettini, Claudio
Peters, Justin S
Feran, Breon
Bergeron, Alain
Rubin, Alan F
Cmero, Marek
Collins, Colin
Lamb, Alastair D
Berlin, Alejandro
Zhang, Jingjing
Ziuboniewicz, Aleksandra S
Erickson, Andrew
Ryan, Andrew
Lynch, Andy G
Massie, Charlie E
Raine, Keiran
Faini, Angelo Corso
Nguyen, Anne
Warren, Anne
Sankar, Aravind
Sahli, Atef
Grima, Corinna
Graefen, Markus
Mehmood, Arfa
Schlotmann, Balthasar C
Hong, Chen
Foster, Chris
Woodcock, Dan J
Barrowdale, Daniel
Park, Daniel J
Phal, Pramit M
Nykter, Matti
Esentürk, Emre
Baena, Esther
Carelli, Ryan
Chow, Ken
Falkenbach, Fabian
Pederzoli, Filippo
Kerry, Giselle
Wakefield, Matthew
Fanelli, Giuseppe N
Hall, Grace
Penington, Jocelyn Sietsma
Lach, Radoslaw
Dev, Harveer
Sültmann, Holger
Pakula, Hubert
Mills, Ian
Furlano, Kira
Stuchbery, Ryan
Korbel, Jan
Ureta, Jennifer
Jiang, Jue
Bedő, Justin
Feuerbach, Lars
von Voithenberg, Lena Voith
Cheung, Melissa
Simon, Ronald
Borre, Michael
Clarkson, Michael J
Wedge, David C
Batra, Rajbir N
Kerger, Michael
Scherer, Michael
Pellegrina, Diogo
Norden, Sam
Omar, Mohamed
Mensah, Nana
Sauter, Guido
Kurganovs, Natalie
Dennis, Nening
Al-Muftah, Noora
Pirhady, Parsa
Pacey, Simon
Schlomm, Thorsten
McCoy, Patrick
Georgeson, Peter
Van Loo, Peter
Dundee, Philip
Hong, Matthew KH
Olofinsae, Samson
Bova, G Steven
Nuzzo, Pier Vitale
Tennstedt, Pierre
Pereira, Ronnie Rodrigues
Dong, Ruining
Rodrigues, Silvia
Mangiola, Stefano
Keane, Thomas
Lutsik, Pavlo
Brors, Benedikt
Milne-Clark, Toby
Costello, Tony
Rausch, Tobias
Macintyre, Geoff
Haberland, Valeriia
Holmes, Vivien
Jaratlerdsiri, Weerachai
Brook, Mark N
Burns, Wi
Dinalankara, Wikum
Eeles, Ros A
Marchionni, Luigi
Hutchison, William J
He, Xiaotong
Pan, Yidan
Lu, Yong-Jie
Reimand, Jüri
Robinson, Brian
Fu, Yunfan
Fradet, Yves
Cooper, Colin S
Bristow, Robert G
Weischenfeldt, Joachim
Pan-Prostate Cancer Group (PPCG)
Butler, Adam
Lim, Beng
Cancel-Tassin, Géraldine
Corcoran, Niall M
Plass, Christoph
Molania, Ramyar
Cussenot, Olivier
Gihawi, Abraham
Girma, Etsehiwot G
Sørensen, Karina D
Gnanapragasam, Vincent J
Hamid, Anis A
Campbell, Bethany K
Hayes, Vanessa M
He, Housheng Hansen
Hovens, Christopher M
Imada, Eddie L
Papenfuss, Anthony T
Wirth, Christopher
Jakobsdottir, G Maria
Jung, Chol-Hee
Issue Date: 9-Sep-2026
Publisher: Springer Nature
Citation: Gruber, A.J. et al. for the Pan-Prostate Cancer Group (PPCG) (2026) 'Integrated signatures define mutational processes in prostate cancer', Nature, 0(ahead of print). pp. 1–35. doi: 10.1038/s41586-026-10468-w.
Abstract: Prostate cancer follows a long and heterogeneous disease course with incompletely understood aetiology¹. Here we dissect the mutational processes shaping the genomes of 959 donors from the Pan Prostate Cancer Group and assess their clinical relevance. By integrating de novo extracted single-base substitution, insertion–deletion and copy-number signatures with six novel complex structural variant signatures, we identify eight integrated mutational footprints (IMFs) that collectively explain the mutational processes in 85% of primary prostate cancer genomes. IMFs were strongly influenced by regional biases in the genome, most prevalently androgen receptor-mediated mutagenesis and replication stress. Four IMFs, present in 37% of primary tumours, were significantly associated with shorter time to metastasis. These included reactive oxygen-species-driven mutagenesis and both canonical and non-canonical homologous recombination deficiency, the latter being enriched in patients of African ancestry. Extending to the metastatic setting, we found that IMFs predicted sensitivity to androgen receptor pathway inhibitors. Taken together, our study delineates the aetiologies and mutational processes that drive the genomic and clinical heterogeneity of prostate cancer, introduces IMFs as a unifying framework, and highlights their potential to improve both risk stratification and biomarker-guided treatment selection.
Description: Data availability: The PPCG dataset comprises WGS, RNA-seq, DNA methylation, clinical and histopathological data from 2,021 prostate cancer donors. Owing to the sensitive nature of human genomic and clinical data and participant-consent restrictions, PPCG data are provided under controlled access and are available only for approved research purposes. Raw genome sequencing data have been deposited in the European Genome-Phenome Archive (EGA) under the study ID EGAS00001002876 and are described in the Reporting Summary and our companion paper24. Access to raw, processed and clinical data from the Hartwig Medical Foundation can be requested at https://www.hartwigmedicalfoundation.nl/en/data/data-access-request/. XML files used to construct the TCGA clinical data can be accessed through the Genomic Data Commons portal, and the procedure for requesting access to controlled genomic data is outlined online (https://gdc.cancer.gov/access-data/obtaining-access-controlled-data). Source data are provided with this paper.
Code availability: The source code for reproducing analyses and figures is available at GitHub (https://github.com/panprostate/mutational-signatures). A static code repository is available at Zenodo98 (https://doi.org/10.5281/ZENODO.18754193).
URI: https://bura.brunel.ac.uk/handle/2438/34120
DOI: https://doi.org/10.1038/s41586-026-10468-w
ISSN: 0028-0836
Appears in Collections:Department of Computer Science Research Papers

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