Evidence map›Paper›PMID 25548652›Full record

ArticleBiomarker research2014

A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients.

Igor Brikun, Deborah Nusskern, Daniel Gillen, Amy Lynn, Daniel Murtagh, John Feczko, William G Nelson, Diha Freije

Abstract read
In one paragraph

Article in Biomarker research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  6. Generalized Score Matching for Non-Negative Data.Journal of machine learning research : JMLR · 2019
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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

8 authors.

Igor BrikunEuclid Diagnostics LLC, Crown Point, Indiana USA.
Deborah NusskernEuclid Diagnostics LLC, Crown Point, Indiana USA.
Daniel GillenDepartment of Statistics, University of California Irvine, Irvine, California USA.
Amy LynnConsultants in Laboratory Medicine, Toledo, Ohio USA.
Daniel MurtaghPromedica Genitourinary Surgeons, Toledo, Ohio USA.
John FeczkoPathology Consultants, Michigan City, Indiana USA.
William G NelsonSidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland USA.
Diha FreijeEuclid Diagnostics LLC, Crown Point, Indiana USA.

Funding

A diagnostic test for improved prostate cancer diagnosis in abnormal biopsiesR43CA150449 · NCI · EUCLID DIAGNOSTICS, LLC · PI FREIJE, DIHA J · 2010 to 2010
$394k
NCI NIH HHS R43 CA150449
6 · The paper itself

Abstract

backgroundMen with a negative first prostate biopsy will undergo one or more additional biopsies if they remain at high suspicion of prostate cancer. To date, there are no diagnostic tests capable of identifying patients at risk for a positive diagnosis with the predictive power needed to eliminate unnecessary repeat biopsies. Efforts to develop clinical tests using the epigenetic signature of cores recovered from first biopsies have been limited to a few markers and lack the sensitivity and specificity needed for widespread clinical adoption.

methodsWe developed methylation-specific quantitative polymerase chain reaction assays for a panel of 24 markers that are preferentially methylated in prostate cancer. We modified the bisulfite conversion conditions to allow the integration of the methylation information from multiple markers. We determined the methylation status of the 24 markers in 213 prostate biopsy cores from 104 patients, 37 prostate cancer patients and 67 controls. We performed logistic regression on combinations of markers as well as the entire panel of 24 markers to identify the best candidates for a diagnostic test.

resultsThe marker panel differentiated between cancer cores and benign cores from non-cancer patients with 100% sensitivity and 97% specificity. Furthermore, the panel detected significant methylation in benign cores from prostate cancer patients that was not present in controls. Using methylation of 5 out of 24 to define a cancer case, the analysis of a single benign biopsy core identified 62% of prostate cancer patients undergoing repeat biopsies. ROC curve analysis showed that markers commonly methylated in benign cores from cancer patients are the best candidates for a diagnostic test. The results suggest that 5 to 10 markers will be needed to achieve optimal predictive power.

conclusionsThis study shows that epigenetic field effects differ significantly between cancer patients and controls. Their detection in benign biopsy cores can form the basis of diagnostic tests to identify patients in need of repeat biopsies, reducing the cost of continued PCA screening by up to 40%. They could also be used to identify prostate cancer patients with low grade disease who are likely candidates for active surveillance or focal therapy.

Indexed as

Atypical small acinar proliferationDNA methylationEarly cancer diagnosticsHigh grade prostatic intraepithelial lesionsProstate cancerRepeat biopsies

Identifiers

PMID25548652
PMCPMC4278343

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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.