ArticleThe Prostate2016
Risk score predicts high-grade prostate cancer in DNA-methylation positive, histopathologically negative biopsies.
Article in The Prostate, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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48 citing papers in PubMed, 95 citations in OpenAlex.
- Biomarker potential of ST6GALNAC3 and ZNF660 promoter hypermethylation in prostate cancer tissue and liquid biopsies.Molecular oncology · 2018Trial
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- Methylation-associated Gene Expression (MaGE): a non-invasive, in vivo measure of cellular senescence.medRxiv : the preprint server for health sciences · 2026Article
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- Enhancing prostate cancer diagnosis: a machine learning-based biomarker approach.Human genomics · 2026Article
- The Years 2015-2025 as a Prospective Decade for the Identification of Specific Methylation Biomarkers of Prostate Cancer.Biomolecules · 2025Review
- Discovery of tumour indicating morphological changes in benign prostate biopsies through AI.Scientific reports · 2025Article
- Biomarkers in Localized Prostate Cancer: From Diagnosis to Treatment.International journal of molecular sciences · 2025Review
- DNA methylation alterations in prostate cancer: from diagnosis to treatment.Translational andrology and urology · 2025Review
- DNA Methylation in Prostate Cancer: Clinical Implications and Potential Applications.Cancer medicine · 2025Review
- New biomarkers and multiplex tests for diagnosis of aggressive prostate cancer and therapy management.Frontiers in oncology · 2025Review
- Prostate Cancer: A Review of Genetics, Current Biomarkers and Personalised Treatments.Cancer reports (Hoboken, N.J.) · 2024Review
- Methylated DNA Markers in Voided Urine for the Identification of Clinically Significant Prostate Cancer.Life (Basel, Switzerland) · 2024Article
- Association of methylation risk score with incident type 2 diabetes mellitus: A nested case-control study.Journal of diabetes · 2024Article
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- Multimodal Biomarkers That Predict the Presence of Gleason Pattern 4: Potential Impact for Active Surveillance.The Journal of urology · 2023Article
- Biomarkers of Aggressive Prostate Cancer at Diagnosis.International journal of molecular sciences · 2023Review
- Commentary on Novitas LCD.Bladder cancer (Amsterdam, Netherlands) · 2023Article
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Authors and funding
6 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProstate cancer (PCa) diagnosis is challenging because efforts for effective, timely treatment of men with significant cancer typically result in over-diagnosis and repeat biopsies. The presence or absence of epigenetic aberrations, more specifically DNA-methylation of GSTP1, RASSF1, and APC in histopathologically negative prostate core biopsies has resulted in an increased negative predictive value (NPV) of ∼90% and thus could lead to a reduction of unnecessary repeat biopsies. Here, it is investigated whether, in methylation-positive men, DNA-methylation intensities could help to identify those men harboring high-grade (Gleason score ≥7) PCa, resulting in an improved positive predictive value.
methodsTwo cohorts, consisting of men with histopathologically negative index biopsies, followed by a positive or negative repeat biopsy, were combined. EpiScore, a methylation intensity algorithm was developed in methylation-positive men, using area under the curve of the receiver operating characteristic as metric for performance. Next, a risk score was developed combining EpiScore with traditional clinical risk factors to further improve the identification of high-grade (Gleason Score ≥7) cancer.
resultsCompared to other risk factors, detection of DNA-methylation in histopathologically negative biopsies was the most significant and important predictor of high-grade cancer, resulting in a NPV of 96%. In methylation-positive men, EpiScore was significantly higher for those with high-grade cancer detected upon repeat biopsy, compared to those with either no or low-grade cancer. The risk score resulted in further improvement of patient risk stratification and was a significantly better predictor compared to currently used metrics as PSA and the prostate cancer prevention trial (PCPT) risk calculator (RC). A decision curve analysis indicated strong clinical utility for the risk score as decision-making tool for repeat biopsy.
conclusionsLow DNA-methylation levels in PCa-negative biopsies led to a NPV of 96% for high-grade cancer. The risk score, comprising DNA-methylation intensity and traditional clinical risk factors, improved the identification of men with high-grade cancer, with a maximum avoidance of unnecessary repeat biopsies. This risk score resulted in better patient risk stratification and significantly outperformed current risk prediction models such as PCPTRC and PSA. The risk score could help to identify patients with histopathologically negative biopsies harboring high-grade PCa. Prostate 76:1078-1087, 2016. © 2016 The Authors. The Prostate Published by Wiley Periodicals, Inc.
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