Evidence map›Paper›PMID 28084441›Full record

ArticleScientific reports2017

Heterogeneous patterns of DNA methylation-based field effects in histologically normal prostate tissue from cancer patients.

Mia Møller, Siri Hundtofte Strand, Kamilla Mundbjerg, Gangning Liang, Inderbir Gill, Christa Haldrup, Michael Borre, Søren Høyer, Torben Falck Ørntoft, Karina Dalsgaard Sørensen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

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  13. Promoter Methylation ofInternational journal of molecular sciences · 2021
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  19. TIP5 primes prostate luminal cells for the oncogenic transformation mediated byProceedings of the National Academy of Sciences of the United States of America · 2020
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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

10 authors at 2 institutions in 2 countries.

Mia MøllerDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Siri Hundtofte StrandDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Kamilla MundbjergDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Gangning LiangKeck School of Medicine of University of Southern California, Los Angeles, California, USA.
Inderbir GillKeck School of Medicine of University of Southern California, Los Angeles, California, USA.
Christa HaldrupDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Michael BorreDepartment of Urology, Aarhus University Hospital, Aarhus, Denmark.
Søren HøyerDepartment of Pathology, Aarhus University Hospital, Aarhus, Denmark.
Torben Falck ØrntoftDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Karina Dalsgaard SørensenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University Hospital · DKUniversity of Southern California · US

Funding

Using DNA methylation markers to improve the predictive accuracy and utility of needle biopsiesfor determining prostate cancer aggressivenessR21CA201865 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GILL, INDERBIR, LIANG, GANGNING · 2016 to 2017
$395k
NCI NIH HHS R21 CA201865
6 · The paper itself

Abstract

Prostate cancer (PC) diagnosis is based on histological evaluation of prostate needle biopsies, which have high false negative rates. Here, we investigated if cancer-associated epigenetic field effects in histologically normal prostate tissue may be used to increase sensitivity for PC. We focused on nine genes (AOX1, CCDC181 (C1orf114), GABRE, GAS6, HAPLN3, KLF8, MOB3B, SLC18A2, and GSTP1) known to be hypermethylated in PC. Using quantitative methylation-specific PCR, we analysed 66 malignant and 134 non-malignant tissue samples from 107 patients, who underwent ultrasound-guided prostate biopsy (67 patients had at least one cancer-positive biopsy, 40 had exclusively cancer-negative biopsies). Hypermethylation was detectable for all genes in malignant needle biopsy samples (AUC: 0.80 to 0.98), confirming previous findings in prostatectomy specimens. Furthermore, we identified a four-gene methylation signature (AOX1xGSTP1xHAPLN3xSLC18A2) that distinguished histologically non-malignant biopsies from patients with vs. without PC in other biopsies (AUC = 0.65; sensitivity = 30.8%; specificity = 100%). This signature was validated in an independent patient set (59 PC, 36 adjacent non-malignant, and 9 normal prostate tissue samples) analysed on Illumina 450 K methylation arrays (AUC = 0.70; sensitivity = 40.6%; specificity = 100%). Our results suggest that a novel four-gene signature may be used to increase sensitivity for PC diagnosis through detection of epigenetic field effects in histologically non-malignant prostate tissue samples.

Indexed as

DNA MethylationGenetic HeterogeneityAgedAged, 80 and overBiomarkers, TumorBiopsy, NeedleEpigenesis, GeneticEpigenomicsHumansMaleMiddle AgedNeoplasm GradingProstateProstatic NeoplasmsReproducibility of ResultsROC CurveBiomarkers, Tumor

Identifiers

PMID28084441
PMCPMC5233981
OpenAlexW2576182598

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.