Evidence map›Paper›PMID 26491211›Full record

ArticleDisease markers2015

Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis.

Alexey A Dmitriev, Eugenia E Rosenberg, George S Krasnov, Ganna V Gerashchenko, Vasily V Gordiyuk, Tatiana V Pavlova, Anna V Kudryavtseva, Artemy D Beniaminov, Anastasia A Belova, Yuriy N Bondarenko and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  6. α9β1 integrin & its ligands as new potential biomarkers in FMF.The Indian journal of medical research · 2024
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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

18 authors at 7 institutions in 3 countries.

Alexey A DmitrievEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia ; P.A. Herzen Moscow Cancer Research Institute, Ministry of Healthcare of the Russian Federation, Moscow 125284, Russia.
Eugenia E RosenbergInstitute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, Kiev 03680, Ukraine.
George S KrasnovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia.
Ganna V GerashchenkoInstitute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, Kiev 03680, Ukraine.
Vasily V GordiyukInstitute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, Kiev 03680, Ukraine.
Tatiana V PavlovaDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, 17177 Stockholm, Sweden.
Anna V KudryavtsevaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia.
Artemy D BeniaminovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia.
Anastasia A BelovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia.
Yuriy N BondarenkoInstitute of Urology, National Academy of Medical Sciences of Ukraine, Kiev 04053, Ukraine.
Rostislav O DaniletsInstitute of Urology, National Academy of Medical Sciences of Ukraine, Kiev 04053, Ukraine.
Alexander I GlukhovDepartment of Molecular Biology, Kurchatov NBIC Centre NRC "Kurchatov Institute", Moscow 123182, Russia.
Aleksandr G KondratovInstitute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, Kiev 03680, Ukraine.
Andrey AlexeyenkoBioinformatics Infrastructure for Life Sciences, Science for Life Laboratory, Karolinska Institute, 17177 Stockholm, Sweden.
Boris Y AlekseevP.A. Herzen Moscow Cancer Research Institute, Ministry of Healthcare of the Russian Federation, Moscow 125284, Russia.
George KleinDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, 17177 Stockholm, Sweden.
Vera N SenchenkoEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia.
Vladimir I KashubaInstitute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, Kiev 03680, Ukraine ; Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, 17177 Stockholm, Sweden.
Engelhardt Institute of Molecular Biology · RUInstitute of Molecular Biology and Genetics · UAInstitute of Urology of the National Academy of Medical Sciences of Ukraine · UAKarolinska Institutet · SEMinistry of Health of the Russian Federation · RUKurchatov Institute · RUScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A significant need for reliable and accurate cancer diagnostics and prognosis compels the search for novel biomarkers that would be able to discriminate between indolent and aggressive tumors at the early stages of disease. The aim of this work was identification of potential diagnostic biomarkers for characterization of different types of prostate tumors. NotI-microarrays with 180 clones associated with chromosome 3 genes/loci were applied to determine genetic and epigenetic alterations in 33 prostate tumors. For 88 clones, aberrations were detected in more than 10% of tumors. The major types of alterations were DNA methylation and/or deletions. Frequent methylation of the discovered loci was confirmed by bisulfite sequencing on selective sampling of genes: FGF12, GATA2, and LMCD1. Three genes (BHLHE40, BCL6, and ITGA9) were tested for expression level alterations using qPCR, and downregulation associated with hypermethylation was shown in the majority of tumors. Based on these data, we proposed the set of potential biomarkers for detection of prostate cancer and discrimination between prostate tumors with different malignancy and aggressiveness: BHLHE40, FOXP1, LOC285205, ITGA9, CTDSPL, FGF12, LOC440944/SETD5, VHL, CLCN2, OSBPL10/ZNF860, LMCD1, FAM19A4, CAND2, MAP4, KY, and LRRC58. Moreover, we probabilistically estimated putative functional relations between the genes within each set using the network enrichment analysis.

Indexed as

Epigenesis, GeneticBiomarkers, TumorCase-Control StudiesDNA MethylationGene DeletionGene Regulatory NetworksHumansMaleOligonucleotide Array Sequence AnalysisProstatic NeoplasmsBiomarkers, Tumor

Identifiers

PMID26491211
PMCPMC4602334
OpenAlexW2118569683

What OpenQuestion holds

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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.