Trial reportThe Journal of urology2014
Clinical validation of an epigenetic assay to predict negative histopathological results in repeat prostate biopsies.
Trial report in The Journal of urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
112 citing papers in PubMed, 4 syntheses or guidelines pooled it, 223 citations in OpenAlex.
- Exploring trends and autonomy levels of adaptive business intelligence in healthcare: A systematic review.PloS one · 2024Pooled it
- DNA methylation biomarkers in peripheral blood of patients with head and neck squamous cell carcinomas. A systematic review.PloS one · 2020Pooled it
- NCCN Guidelines Insights: Prostate Cancer Early Detection, Version 2.2016.Journal of the National Comprehensive Cancer Network : JNCCN · 2016Guideline
- CLINICAL EVALUATION OF AN EPIGENETIC ASSAY TO PREDICT MISSED CANCER IN PROSTATE BIOPSY SPECIMENS.Transactions of the American Clinical and Climatological Association · 2016Pooled it
- Biomarker potential of ST6GALNAC3 and ZNF660 promoter hypermethylation in prostate cancer tissue and liquid biopsies.Molecular oncology · 2018Trial
- A Phase II Randomized Trial of Lycopene-Rich Tomato Extract Among Men with High-Grade Prostatic Intraepithelial Neoplasia.Nutrition and cancer · 2015Trial
- Gene expression profiles in benign prostate tissue reflect tumor proximity, grade, and molecular subtype.Journal of translational medicine · 2026Article
- Mechanisms of Progression and Challenges for Intervention in the Natural History of Early Prostate Cancer: A Narrative Review.Current oncology (Toronto, Ont.) · 2026Review
- Epigenetic biomarkers in inflammatory bowel diseases-computational challenges and opportunities.Journal of Crohn's & colitis · 2026Review
- Prostate Cancer: Etiology, Diagnosis, and Treatment.Serican journal of medicine · 2026Article
- Review
- Advances in Epigenomic Sequencing and Their Applications in Cancer Diagnostics.Precision chemistry · 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
- A clinical prostate biopsy dataset with undetected cancer.Scientific data · 2025Article
- DNA methylation alterations in prostate cancer: from diagnosis to treatment.Translational andrology and urology · 2025Review
- New biomarkers and multiplex tests for diagnosis of aggressive prostate cancer and therapy management.Frontiers in oncology · 2025Review
- Molecular diagnostics of prostate cancer: impact of molecular tests.Asian journal of andrology · 2024Review
- Prostate Cancer: A Review of Genetics, Current Biomarkers and Personalised Treatments.Cancer reports (Hoboken, N.J.) · 2024Review
- Management of Patients With a Negative Multiparametric Prostate MRI Examination:AJR. American journal of roentgenology · 2024Review
52 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 8 institutions in 3 countries.
Funding
Abstract
purposeThe DOCUMENT multicenter trial in the United States validated the performance of an epigenetic test as an independent predictor of prostate cancer risk to guide decision making for repeat biopsy. Confirming an increased negative predictive value could help avoid unnecessary repeat biopsies. MATERIALS AND
methodsWe evaluated the archived, cancer negative prostate biopsy core tissue samples of 350 subjects from a total of 5 urological centers in the United States. All subjects underwent repeat biopsy within 24 months with a negative (controls) or positive (cases) histopathological result. Centralized blinded pathology evaluation of the 2 biopsy series was performed in all available subjects from each site. Biopsies were epigenetically profiled for GSTP1, APC and RASSF1 relative to the ACTB reference gene using quantitative methylation specific polymerase chain reaction. Predetermined analytical marker cutoffs were used to determine assay performance. Multivariate logistic regression was used to evaluate all risk factors.
resultsThe epigenetic assay resulted in a negative predictive value of 88% (95% CI 85-91). In multivariate models correcting for age, prostate specific antigen, digital rectal examination, first biopsy histopathological characteristics and race the test proved to be the most significant independent predictor of patient outcome (OR 2.69, 95% CI 1.60-4.51).
conclusionsThe DOCUMENT study validated that the epigenetic assay was a significant, independent predictor of prostate cancer detection in a repeat biopsy collected an average of 13 months after an initial negative result. Due to its 88% negative predictive value adding this epigenetic assay to other known risk factors may help decrease unnecessary repeat prostate biopsies.
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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.