Evidence map›Paper›PMID 27121847›Full record

ArticleThe Prostate2016

Risk score predicts high-grade prostate cancer in DNA-methylation positive, histopathologically negative biopsies.

Leander Van Neste, Alan W Partin, Grant D Stewart, Jonathan I Epstein, David J Harrison, Wim Van Criekinge

Open access · hybridAbstract readComparative Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
10.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 95 citations in OpenAlex.

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  8. Biomarkers in Localized Prostate Cancer: From Diagnosis to Treatment.International journal of molecular sciences · 2025
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  18. Biomarkers of Aggressive Prostate Cancer at Diagnosis.International journal of molecular sciences · 2023
    Review
  19. Commentary on Novitas LCD.Bladder cancer (Amsterdam, Netherlands) · 2023
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 4 countries.

Leander Van NesteDepartment of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands.
Alan W PartinBrady Urological Institute and Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland.
Grant D StewartAcademic Urology Group, University of Cambridge, Cambridge, United Kingdom.
Jonathan I EpsteinBrady Urological Institute and Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland.
David J HarrisonSchool of Medicine, University of St Andrews, St Andrews, United Kingdom.
Wim Van CriekingeDepartment of Mathematical Modeling, Statistics and Bio-Informatics, Ghent University, Ghent, Belgium.
Johns Hopkins Medicine · USGhent University · BEMaastricht University · NLUniversity of Cambridge · GBUniversity of St Andrews · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biopsy, NeedleDNA MethylationAdenomatous Polyposis ColiAgedEpigenesis, GeneticFalse Negative ReactionsGlutathione S-Transferase piHumansMaleMiddle AgedNeoplasm GradingProstateProstate-Specific AntigenProstatic NeoplasmsRisk FactorsTumor Suppressor ProteinsGlutathione S-Transferase piGSTP1 protein, humanProstate-Specific AntigenRASSF1 protein, humanTumor Suppressor ProteinsDNA methylationepigeneticshigh-gradelogistic regressionprostate neoplasmsrepeat biopsysignificant cancer

Identifiers

PMID27121847
PMCPMC5111760
OpenAlexW2336236850

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.