Evidence map›Paper›PMID 30801051›Full record

ArticleJCO precision oncology2019

epiCaPture: A Urine DNA Methylation Test for Early Detection of Aggressive Prostate Cancer.

Eve O'Reilly, Alexandra V Tuzova, Anna L Walsh, Niamh M Russell, Odharnaith O'Brien, Sarah Kelly, Odharna Ni Dhomhnallain, Liam DeBarra, Connie M Dale, Rick Brugman and 21 more

Open access · hybridAbstract read
In one paragraph

Article in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
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

31 authors.

Eve O'ReillyUniversity College Dublin.
Alexandra V TuzovaUniversity College Dublin.
Anna L WalshTrinity College Dublin.
Niamh M RussellUniversity College Dublin.
Odharnaith O'BrienSt James's Hospital.
Sarah KellyTrinity College Dublin.
Odharna Ni DhomhnallainTrinity College Dublin.
Liam DeBarraTrinity College Dublin.
Connie M DaleTrinity College Dublin.
Rick BrugmanTrinity College Dublin.
Gavin ClarkeUniversity College Dublin.
Olivia SchmidtUniversity College Dublin.
Shane O'MeachairTrinity College Dublin.
Dattatraya PatilEmory University School of Medicine, Atlanta, GA.
Kathryn L PellegriniEmory University School of Medicine, Atlanta, GA.
Neil FleshnerUniversity of Toronto, Toronto, Ontario, Canada.
Julia GarciaUniversity of Toronto, Toronto, Ontario, Canada.
Fang ZhaoUniversity of Toronto, Toronto, Ontario, Canada.
Stephen FinnSt James's Hospital.
Robert MillsNorfolk and Norwich University Hospital.
Marcelino Y HannaUniversity of East Anglia.
Rachel HurstUniversity of East Anglia.
Elizabeth McEvoyTallaght Hospital, Dublin, Ireland.
William M GallagherUniversity College Dublin.
Rustom P ManeckshaTrinity College Dublin.
Colin S CooperUniversity of East Anglia.
Daniel S BrewerUniversity of East Anglia.
Bharati BapatUniversity of Toronto, Toronto, Ontario, Canada.
Martin G SandaEmory University School of Medicine, Atlanta, GA.
Jeremy ClarkUniversity of East Anglia.
Antoinette S PerryUniversity College Dublin.

Funding

Prostate Cancer Biomarker and Imaging Validation Alliance: Emory University, University of Alabama Birmingham, and University of Texas SouthwesternU01CA113913 · NCI · EMORY UNIVERSITY · PI Martin G. Sanda · 2005 to 2026
$16.4M
NCI NIH HHS U01 CA113913
6 · The paper itself

Abstract

purposeLiquid biopsies that noninvasively detect molecular correlates of aggressive prostate cancer (PCa) could be used to triage patients, reducing the burdens of unnecessary invasive prostate biopsy and enabling early detection of high-risk disease. DNA hypermethylation is among the earliest and most frequent aberrations in PCa. We investigated the accuracy of a six-gene DNA methylation panel (Epigenetic Cancer of the Prostate Test in Urine [epiCaPture]) at detecting PCa, high-grade (Gleason score greater than or equal to 8) and high-risk (D'Amico and Cancer of the Prostate Risk Assessment] PCa from urine. PATIENTS AND

methodsPrognostic utility of epiCaPture genes was first validated in two independent prostate tissue cohorts. epiCaPture was assessed in a multicenter prospective study of 463 men undergoing prostate biopsy. epiCaPture was performed by quantitative methylation-specific polymerase chain reaction in DNA isolated from prebiopsy urine sediments and evaluated by receiver operating characteristic and decision curves (clinical benefit). The epiCaPture score was developed and validated on a two thirds training set to one third test set.

resultsHigher methylation of epiCaPture genes was significantly associated with increasing aggressiveness in PCa tissues. In urine, area under the receiver operating characteristic curve was 0.64, 0.86, and 0.83 for detecting PCa, high-grade PCa, and high-risk PCa, respectively. Decision curves revealed a net benefit across relevant threshold probabilities. Independent analysis of two epiCaPture genes in the same clinical cohort provided analytical validation. Parallel epiCaPture analysis in urine and matched biopsy cores showed added value of a liquid biopsy.

conclusionepiCaPture is a urine DNA methylation test for high-risk PCa. Its tumor specificity out-performs that of prostate-specific antigen (greater than 3 ng/mL). Used as an adjunct to prostate-specific antigen, epiCaPture could aid patient stratification to determine need for biopsy.

Identifiers

PMID30801051
PMCPMC6383793
OpenAlexW2900163497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.