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Recovering anaerobic bacterial genomes in saliva, tumour and blood whole genome sequencing data from patients with prostate cancer

A. Gihawi A. Bampalis Шиамсундар Субраманиан Noora Al-Muftah E. Baena D. Barrowdale Lucy M. Barton R. Batra J. Bedő Alain Bergeron A. Berlin M. Borre P. Boutros G. Steven Bova D. Brewer R. Bristow M. Brook B. Brors Dan Burns A. Butler Bethany K. Campbell G. Cancel-Tassin Ryan Carelli Kevin C. L. Cheng Melissa Cheung K. Chow Michael J. Clarkson M. Cmero Colin C. Collins Colin S. Cooper Niall M. Corcoran A. Faini Tony Costello Olivier Cussenot Nening Dennis H. Dev Wikum Dinalankara Rui-Ning Dong Philip Dundee R. Eeles Andrew Erickson Emre Esentürk F. Falkenbach G. Fanelli Francesco Favero B. Feran Ángel Fernández-Sanromán L. Feuerbach Chris Foster Yves Fradet Michael Fraser Yun-Fan Fu K. Furlano Peter Georgeson C. Gerhauser Kazzem Gheybi Abraham Gihawi Etsehiwot G. Girma V. Gnanapragasam M. Graefen C. Grima Andreas J. Gruber Valleriia Haberland Grace A. Hall F. Hamdy Anis A. Hamid Vanessa M. Hayes Xiao-Tong He H. He Jessica Heilmann Bárbara Hernando Vivien Holmes Chen Hong Matthew K. H. Hong Christopher M. Hovens W. Hutchison Eddie Luidy Imada G. Maria Jakobsdottir Weerachai Jaratlerdsiri Jue Jiang C. Jung Thomas Keane Michael Kerger G. Kerry Francesca Khani Daria Kiriy J. Korbel Z. Kote-Jarai Natalie J. Kurganovs R. Lach A. Lamb Philippe Lamy Gregory Leeman Wing-Kit Leung Beng Lim Massimo Loda Yong-Jie Lu Pavlo Lutsik Andy G. Lynch G. Macintyre S. Mangiola Luigi Marchionni Charlie E. Massie Patrick J. McCoy A. Mehmood N. Mensah Ian G. Mills Toby Milne-Clark Ramyar Molania Anne Nguyen Sam Norden P. V. Nuzzo M. Nykter Samson Olofinsae A. Olsen Mohamed Omar S. Pacey Hubert Pakula Yi-Dan Pan Anthony T. Papenfuss Daniel J. Park Filippo Pederzoli Diogo Pellegrina J. Penington J. Peters Parmit M. Phal P. Pirhady C. Plass B. Pope L. Queiroz K. Raine T. Rausch Jüri Reimand Brian D. Robinson Silvia D. Rodrigues Ronnie Rodrigues Pereira Alan F. Rubin A. Ryan Atef Sahli C. Sander Aravind Sankar Guido Sauter Michael Scherer Thorsten Schlomm B. Schlotmann R. Simon P. X. Y. Soh K. D. Sørensen Ryan Stuchbery H. Sültmann Avigail Taylor P. Tennstedt Gabriel Tulcan S. Uhrig B. Ulhøi Jennifer Ureta T. Kwast P. van Loo Clare Verrill T. Visakorpi Lena Voith von Voithenberg Matthew J. Wakefield Anne Y. Warren D. Wedge Joachim Weischenfeldt C. Wirth D. Woodcock Yao-Bo Xu T. Yamaguchi Claudio Zanettini Jing-Jing Zhang Aleksandra S. Ziuboniewicz G. S. Bova A. Butler N. M. Corcoran F. Favero V. Gnanapragasam A. Hamid C. Jung Z. Jarai G. Leeman M. Loda J. Reimand A. Sahli T. Schlomm T. Yamaguchi J. Weischenfelft C. Hovens B. Pope R. Bristow M. Brook Kevin C. L. Cheng E. G. Girma A. J. Gruber H.-H. He E. L. Imada G. M. Jakobsdottir F. Khani P. Lutsik L. Marchionni R. Molania A. T. Papenfuss D. Pellegrina L. Queiroz T. Rausch B. Robinson C. Zanettini K. D. Sørensen P. Lamy G. Cancel-Tassin O. Cussenot R. Eeles N. Annels V. M. Hayes R. Hurst C. Cooper D. Brewer
Oct 2026 · npj Biofilms and Microbiomes · Vol 12 · 0 citations · 85 references
Medicine

Abstract

Microbial constituents in the gastrointestinal tract, the urine and prostate tissue are being linked with clinical differences in prostate cancer, and a recent meta-analysis has linked periodontal disease to this cancer. Several hypotheses exist regarding how specific bacteria can contribute towards the development of prostate cancer. Recovering microbial genomes, and their genomic features, from clinical samples and investigating fine-scale taxonomy is a critical first step in investigating causality. Here, we describe the microbial diversity of samples associated with prostate cancer. Metagenomic assembly of non-human reads from the PanProstate Cancer Group, derived from blood, saliva samples and prostate tissue whole-genome data (N = 247), successfully reconstructed 249 highly complete bacterial genomes, predominantly from oral samples. Our data, reveals eighteen bacterial species from the oral cavity without species level classification, while demonstrating a wide range of known species. This approach enables us to gain additional insights of the microbes in cancer patients at no additional sequencing cost and has the potential to reveal new links that could improve our understanding of cancer initiation and development.

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