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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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