Evidence map›Paper›PMID 26890304›Full record

ArticleEpigenetics2016

Methylation profiling identified novel differentially methylated markers including OPCML and FLRT2 in prostate cancer.

Yu Wu, Jerry Davison, Xiaoyu Qu, Colm Morrissey, Barry Storer, Lisha Brown, Robert Vessella, Peter Nelson, Min Fang

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 50 citations in OpenAlex.

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  18. PTEN deletion drives aberrations of DNA methylome and transcriptome in different stages of prostate cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 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

9 authors at 2 institutions in 2 countries.

Yu Wua Fred Hutchinson Cancer Research Center , Seattle , WA.
Jerry Davisona Fred Hutchinson Cancer Research Center , Seattle , WA.
Xiaoyu Qua Fred Hutchinson Cancer Research Center , Seattle , WA.
Colm Morrisseyb University of Washington , Seattle , WA.
Barry Storera Fred Hutchinson Cancer Research Center , Seattle , WA.
Lisha Brownb University of Washington , Seattle , WA.
Robert Vessellab University of Washington , Seattle , WA.
Peter Nelsona Fred Hutchinson Cancer Research Center , Seattle , WA.
Min Fanga Fred Hutchinson Cancer Research Center , Seattle , WA.
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAUniversity of Washington · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Transmembrane Proteases and Prostate CarcinogenesisP01CA085859 · NCI · UNIVERSITY OF WASHINGTON · PI VESSELLA, ROBERT LOUIS · 2002 to 2013
$21.2M
NCI NIH HHS P01 CA085859NCI NIH HHS P30 CA015704
6 · The paper itself

Abstract

To develop new methods to distinguish indolent from aggressive prostate cancers (PCa), we utilized comprehensive high-throughput array-based relative methylation (CHARM) assay to identify differentially methylated regions (DMRs) throughout the genome, including both CpG island (CGI) and non-CGI regions in PCa patients based on Gleason grade. Initially, 26 samples, including 8 each of low [Gleason score (GS) 6] and high (GS ≥7) grade PCa samples and 10 matched normal prostate tissues, were analyzed as a discovery cohort. We identified 3,567 DMRs between normal and cancer tissues, and 913 DMRs distinguishing low from high-grade cancers. Most of these DMRs were located at CGI shores. The top 5 candidate DMRs from the low vs. high Gleason comparison, including OPCML, ELAVL2, EXT1, IRX5, and FLRT2, were validated by pyrosequencing using the discovery cohort. OPCML and FLRT2 were further validated in an independent cohort consisting of 20 low-Gleason and 33 high-Gleason tissues. We then compared patients with biochemical recurrence (n=70) vs. those without (n=86) in a third cohort, and they showed no difference in methylation at these DMR loci. When GS 3+4 cases and GS 4+3 cases were compared, OPCML-DMR methylation showed a trend of lower methylation in the recurrence group (n=30) than in the no-recurrence (n=52) group. We conclude that whole-genome methylation profiling with CHARM revealed distinct patterns of differential DNA methylation between normal prostate and PCa tissues, as well as between different risk groups of PCa as defined by Gleason scores. A panel of selected DMRs may serve as novel surrogate biomarkers for Gleason score in PCa.

Indexed as

AdultAgedCell Adhesion MoleculesCpG IslandsDNA MethylationGene Expression Regulation, NeoplasticGPI-Linked ProteinsHumansMaleMembrane GlycoproteinsMembrane ProteinsMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalPromoter Regions, GeneticProstatic NeoplasmsCell Adhesion MoleculesFLRT2 protein, humanGPI-Linked ProteinsMembrane GlycoproteinsMembrane ProteinsOPCML protein, humanDMR (differentially methylated regions)methylation profilingprostate cancer

Identifiers

PMID26890304
PMCPMC4889305
OpenAlexW2280525074

What OpenQuestion holds

Textmetadata
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.