Evidence map›Paper›PMID 23159584›Full record

ArticleThe Journal of urology2013

Using the epigenetic field defect to detect prostate cancer in biopsy negative patients.

Matthew Truong, Bing Yang, Andrew Livermore, Jennifer Wagner, Puspha Weeratunga, Wei Huang, Rajiv Dhir, Joel Nelson, Daniel W Lin, David F Jarrard

Abstract readComparative Study
In one paragraph

Article in The Journal of urology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Epigenetic field alterations in non-tumor prostate tissues detect prostate cancer in urine.American journal of clinical and experimental urology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Prognostic DNA methylation markers for prostate cancer.International journal of molecular sciences · 2014
    Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Matthew TruongUniversity of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Bing Yang
Andrew Livermore
Jennifer Wagner
Puspha Weeratunga
Wei Huang
Rajiv Dhir
Joel Nelson
Daniel W Lin
David F Jarrard

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Institutional Clinical and Translational Science Award (UW-Madison)KL2RR025012 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$11.1M
MODULATION OF IGF-II IMPRINTING IN THE AGING PROSTATER01CA097131 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI JARRARD, DAVID F. · 2002 to 2013
$2.5M
In vivo effects of sulforaphane supplementation on normal human prostateR01CA131255 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KNUDSEN, BEATRICE S, LIN, DANIEL W. · 2009 to 2013
$1.8M
NCATS NIH HHS UL1 TR000427NCI NIH HHS 5R01CA097131NCI NIH HHS 5R01CA 131255NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA097131NCI NIH HHS R01 CA131255NCRR NIH HHS KL2 RR02012NCRR NIH HHS KL2 RR025012NCRR NIH HHS UL1 RR025011
6 · The paper itself

Abstract

purposeWe determined whether a novel combination of field defect DNA methylation markers could predict the presence of prostate cancer using histologically normal transrectal ultrasound guided biopsy cores. MATERIALS AND

methodsMethylation was assessed using quantitative Pyrosequencing® in a training set consisting of 65 nontumor and tumor associated prostate tissues from University of Wisconsin. A multiplex model was generated using multivariate logistic regression and externally validated in blinded fashion in a set of 47 nontumor and tumor associated biopsy specimens from University of Washington.

resultsWe observed robust methylation differences in all genes at all CpGs assayed (p <0.0001). Regression models incorporating individual genes (EVX1, CAV1 and FGF1) and a gene combination (EVX1 and FGF1) discriminated nontumor from tumor associated tissues in the original training set (AUC 0.796-0.898, p <0.001). On external validation uniplex models incorporating EVX1, CAV1 or FGF1 discriminated tumor from nontumor associated biopsy negative specimens (AUC 0.702, 0.696 and 0.658, respectively, p <0.05). A multiplex model (EVX1 and FGF1) identified patients with prostate cancer (AUC 0.774, p = 0.001) and had a negative predictive value of 0.909. Comparison between 2 separate cores in patients in this validation set revealed similar methylation defects, indicating detection of a widespread field defect.

conclusionsA widespread epigenetic field defect can be used to detect prostate cancer in patients with histologically negative biopsies. To our knowledge this assay is unique, in that it detects alterations in nontumor cells. With further validation this marker combination (EVX1 and FGF1) has the potential to decrease the need for repeat prostate biopsies, a procedure associated with cost and complications.

Indexed as

DNA MethylationAgedAged, 80 and overBiopsy, NeedleEpigenomicsFibroblast Growth Factor 1Gene Expression Regulation, NeoplasticGenetic MarkersHomeodomain ProteinsHumansImmunohistochemistryMaleMiddle AgedPredictive Value of TestsProstatic NeoplasmsReference ValuesEVX1 protein, humanFibroblast Growth Factor 1Genetic MarkersHomeodomain Proteins

Identifiers

PMID23159584
PMCPMC4226217

What OpenQuestion holds

Textmetadata
LicenceTDM
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.