ArticleiScience2024
Prostate cancer detection through unbiased capture of methylated cell-free DNA.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Mechanisms of Progression and Challenges for Intervention in the Natural History of Early Prostate Cancer: A Narrative Review.Current oncology (Toronto, Ont.) · 2026Review
- Multimodal plasma and urinary cell-free DNA profiling improves risk stratification in newly diagnosed prostate cancer.NPJ precision oncology · 2026Article
- Epigenomics-guided precision oncology: Chromatin variants in prostate tumor evolution.International journal of cancer · 2026Review
- Artificial intelligence in the early diagnosis of prostate cancer: from multimodal imaging to liquid biopsy.Frontiers in oncology · 2026Review
- Circulating tumour DNA in mCRPC: bridging tumour biology and real-time treatment monitoring.Frontiers in molecular medicine · 2026Review
- The Years 2015-2025 as a Prospective Decade for the Identification of Specific Methylation Biomarkers of Prostate Cancer.Biomolecules · 2025Review
- Review
- Circulating Tumor DNA in Prostate Cancer: A Dual Perspective on Early Detection and Advanced Disease Management.Cancers · 2025Review
- Advance in prostate cancer biomarker discovery: bridging detection, prognosis and therapeutics.Discover oncology · 2025Review
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.