Evidence map›Paper›PMID 31779677›Full record

ArticleClinical epigenetics2019

Validation of an epigenetic field of susceptibility to detect significant prostate cancer from non-tumor biopsies.

Bing Yang, Tyler Etheridge, Johnathon McCormick, Adam Schultz, Tariq A Khemees, Nathan Damaschke, Glen Leverson, Kaitlin Woo, Geoffrey A Sonn, Eric A Klein and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  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. Review
  9. 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

13 authors.

Bing YangUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Tyler EtheridgeUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Johnathon McCormickUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Adam SchultzUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Tariq A KhemeesUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Nathan DamaschkeUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Glen LeversonUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Kaitlin WooUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Geoffrey A SonnStanford University School of Medicine, Stanford, CA, USA.
Eric A KleinCleveland Clinic, Glickman Urological and Kidney Institute, Cleveland, OH, USA.
Mike FumoRockford Urologic, Rockford, IL, USA.
Wei HuangUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
David F JarrardUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA. jarrard@urology.wisc.edu.ORCID 0000-0001-8444-7165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn epigenetic field of cancer susceptibility exists for prostate cancer (PC) that gives rise to multifocal disease in the peripheral prostate. In previous work, genome-wide DNA methylation profiling identified altered regions in the normal prostate tissue of men with PC. In the current multicenter study, we examined the predictive strength of a panel of loci to detect cancer presence and grade in patients with negative biopsy tissue.

resultsFour centers contributed benign prostate biopsy tissues blocks from 129 subjects that were either tumor associated (TA, Grade Group [GG] ≥ 2, n = 77) or non-tumor associated (NTA, n = 52). Biopsies were analyzed using pyrosequencing for DNA methylation encompassing CpG loci near CAV1, EVX1, FGF1, NCR2, PLA2G16, and SPAG4 and methylation differences were detected within all gene regions (p < 0.05). A multiplex regression model for biomarker performance incorporating a gene combination discriminated TA from NTA tissues (area under the curve [AUC] 0.747, p = 0.004). A multiplex model incorporating all the above genes and clinical information (PSA, age) identified patients with GG ≥ 2 PC (AUC 0.815, p < 0.0001). In patients with cancer, increased variation in gene methylation levels occurs between biopsies across the prostate.

conclusionsA widespread epigenetic field defect is utilized to detect GG ≥ 2 PC in patients with histologically negative biopsies. These alterations in non-tumor cells display increased heterogeneity of methylation extent and are spatially distant from tumor foci. These findings have the potential to decrease the need for repeated prostate biopsy.

Indexed as

DNA MethylationAgedBiomarkers, TumorBiopsyEarly Detection of CancerEpigenesis, GeneticGene Regulatory NetworksHumansMaleMiddle AgedNeoplasm GradingProstatic NeoplasmsSequence Analysis, DNABiomarkers, TumorDNA methylationEpigeneticsField defectProstate cancer

Identifiers

PMID31779677
PMCPMC6883627

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Registered trials

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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.