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Prostate cancer detection through unbiased capture of methylated cell-free DNA

Prostate cancer screening using prostate-specific antigen (PSA) has been shown to reduce mortality but with substantial overdiagnosis, leading to unnecessary biopsies. The identification of a highly specific biomarker using liquid biopsies, represents an unmet need in the diagnostic pathway for pros...

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Hauptverfasser: Lleshi, Ermira (VerfasserIn) , Milne-Clark, Toby (VerfasserIn) , Lee Yu, Henson (VerfasserIn) , Martin, Henno W. (VerfasserIn) , Hanson, Robert (VerfasserIn) , Lach, Radoslaw (VerfasserIn) , Rossi, Sabrina H. (VerfasserIn) , Riediger, Anja Lisa (VerfasserIn) , Görtz, Magdalena (VerfasserIn) , Sültmann, Holger (VerfasserIn) , Flewitt, Andrew (VerfasserIn) , Lynch, Andy G. (VerfasserIn) , Gnanapragasam, Vincent J. (VerfasserIn) , Massie, Charlie E. (VerfasserIn) , Dev, Harveer S. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 19 July 2024
In: iScience
Year: 2024, Jahrgang: 27, Heft: 7, Pages: 1-17
ISSN:2589-0042
DOI:10.1016/j.isci.2024.110330
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.isci.2024.110330
Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S2589004224015554
Volltext
Verfasserangaben:Ermira Lleshi, Toby Milne-Clark, Henson Lee Yu, Henno W. Martin, Robert Hanson, Radoslaw Lach, Sabrina H. Rossi, Anja Lisa Riediger, Magdalena Görtz, Holger Sültmann, Andrew Flewitt, Andy G. Lynch, Vincent J. Gnanapragasam, Charlie E. Massie, and Harveer S. Dev
Beschreibung
Zusammenfassung:Prostate cancer screening using prostate-specific antigen (PSA) has been shown to reduce mortality but with substantial overdiagnosis, leading to unnecessary biopsies. The identification of a highly specific biomarker using liquid biopsies, represents an unmet need in the diagnostic pathway for prostate cancer. In this study, we employed a method that enriches for methylated cell-free DNA fragments coupled with a machine learning algorithm which enabled the detection of metastatic and localized cancers with AUCs of 0.96 and 0.74, respectively. The model also detected 51.8% (14/27) of localized and 88.7% (79/89) of patients with metastatic cancer in an external dataset. Furthermore, we show that the differentially methylated regions reflect epigenetic and transcriptomic changes at the tissue level. Notably, these regions are significantly enriched for biologically relevant pathways associated with the regulation of cellular proliferation and TGF-beta signaling. This demonstrates the potential of circulating tumor DNA methylation for prostate cancer detection and prognostication.
Beschreibung:Online verfügbar: 20. Juni 2024, Artikelversion: 4. Juli 2024
Gesehen am 03.01.2025
Beschreibung:Online Resource
ISSN:2589-0042
DOI:10.1016/j.isci.2024.110330

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