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Title: | Causes of evolutionary divergence in prostate cancer |
Authors: | Esentürk, E Sahli, A Haberland, V Ziuboniewicz, A Wirth, C Bova, GS Bristow, RG Brook, MN Brors, B Butler, A Cancel-Tassin, G Cheng, KCL Cooper, CS Corcoran, NM Cussenot, O Eeles, RA Favero, F Gerhauser, C Gihawi, A Girma, EG Gnanapragasam, VJ Gruber, AJ Hamid, A Hayes, VM He, HH Hovens, CM Imada, EL Jakobsdottir, GM Jung, C-H Khani, F Kote-Jarai, Z Lamy, P Leeman, G Loda, M Lutsik, P Marchionni, L Molania, R Papenfuss, AT Pellegrina, D Pope, B Queiroz, LR Rausch, T Reimand, J Robinson, B Schlomm, T Sørensen, KD Uhrig, S Weischenfeldt, J Xu, Y Yamaguchi, TN Zanettini, C Lynch, AG Wedge, DC Brewer, DS Woodcock, DJ |
Keywords: | causality;causal inference;cancer evolution;evolutionary divergence;prostate 90 cancer;genomics (q-bio.GN) |
Issue Date: | 17-Mar-2025 |
Publisher: | Cornell University |
Citation: | Esentürk, E. et al. (2025) 'Causes of evolutionary divergence in prostate cancer', arXiv preprint, arXiv:2503.13189v1 [q-bio.GN, pp. 1 - 23. doi: 10.48550/arXiv.2503.13189. |
Abstract: | Cancer progression involves the sequential accumulation of genetic alterations that cumulatively shape the tumour phenotype. In prostate cancer, tumours can follow divergent evolutionary trajectories that lead to distinct subtypes, but the causes of this divergence remain unclear. While causal inference could elucidate the factors involved, conventional methods are unsuitable due to the possibility of unobserved confounders and ambiguity in the direction of causality. Here, we propose a method that circumvents these issues and apply it to genomic data from 829 prostate cancer patients. We identify several genetic alterations that drive divergence as well as others that prevent this transition, locking tumours into one trajectory. Further analysis reveals that these genetic alterations may cause each other, implying a positive-feedback loop that accelerates divergence. Our findings provide insights into how cancer subtypes emerge and offer a foundation for genomic surveillance strategies aimed at monitoring the progression of prostate cancer. |
Description: | Data Availability: Components of the PPCG data set can be accessed through different portals in accordance with the required level of data protection for each data type. The main data constituents, and respective modes of access, are listed in detail in the companion manuscript by GM Jakobsdottir [ref. 19]. A preprint version of the article is available at arXiv:2503.13189v1 [q-bio.GN], https://arxiv.org/abs/2503.13189 . It has not been certified by peer review. Submission history: From: Emre Esenturk [v1] Mon, 17 Mar 2025 14:00:02 UTC (818 KB). Code Availability: Codes are available to reviewers. Open-source repository will be made available at the time of publication. |
URI: | https://bura.brunel.ac.uk/handle/2438/31972 |
DOI: | https://doi.org/10.48550/arXiv.2503.13189 |
Other Identifiers: | ORCiD: Valeriia Haberland https://orcid.org/0000-0002-3874-0683 arXiv:2503.13189v1 [q-bio.GN] |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Embargoed until publication | 810.36 kB | Adobe PDF | View/Open |
Preprint.pdf | Copyright © 2025 The Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/). | 817.64 kB | Adobe PDF | View/Open |
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