Evidence map›Paper›PMID 26547439›Full record

ArticleFamilial cancer2016

Correlation between the germline methylation status in ERβ promoter and the risk in prostate cancer: a prospective study.

Lihui Wang, Pan Zhang, Xiannan Meng, Xiang Chen, Zou Xiang, Xiaoqian Lin, Ye Liu, Weidong Gan, Xiaodong Han, Dongmei Li

Abstract read
PubMed Publisher
In one paragraph

Article in Familial cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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 3 institutions in 2 countries.

Lihui WangImmunology and Reproduction Biology Laboratory & State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing, 210093, Jiangsu, China.
Pan ZhangDepartment of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Xiannan MengImmunology and Reproduction Biology Laboratory & State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing, 210093, Jiangsu, China.
Xiang ChenImmunology and Reproduction Biology Laboratory & State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing, 210093, Jiangsu, China.
Zou XiangDepartment of Microbiology and Immunology, Mucosal Immunobiology and Vaccine Research Center, Institute of Biomedicine, University of Gothenburg, 40530, Gothenburg, Sweden.
Xiaoqian LinImmunology and Reproduction Biology Laboratory & State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing, 210093, Jiangsu, China.
Ye LiuImmunology and Reproduction Biology Laboratory & State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing, 210093, Jiangsu, China.
Weidong GanDepartment of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China. gwd@nju.edu.cn.
Xiaodong HanImmunology and Reproduction Biology Laboratory & State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing, 210093, Jiangsu, China. hanxd@nju.edu.cn.
Dongmei LiImmunology and Reproduction Biology Laboratory & State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing, 210093, Jiangsu, China. lidm@nju.edu.cn.
Nanjing University · CNNanjing Drum Tower Hospital · CNUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial aggregation of cancer may reflect an overall contribution of inherited genes or a shared mechanism for the manipulation of gene function. DNA methylation in the promoter regions is considered to be a mechanism through which tumor suppressor genes are inhibited, which will lead to tumorigenesis and tumor progression. To evaluate the association between the methylation status in the promoter of estrogen receptor (ER) β,possibly a tumor suppressor gene specific for prostate cancer, and the risk in prostate cancer in a Chinese population, a case-control study that included 56 sporadic prostate cancer cases and 60 healthy controls was conducted. Genomic DNA was extracted from peripheral blood of all the subjects for analyzing the methylation status of the ERβ promoter by methylation-specific PCR, which was verified by bisulfite genomic sequencing PCR. A significant difference was observed in the methylation frequencies of the ERβ promoter between cancer patients (12/56, 21.4%) and healthy controls (5/60, 8.3%). Prostate cancer (PC-3 and DU-145) and prostatic epithelial (RWPE-1) cell lines were treated with various concentrations of the methyltransferase inhibitor 5-Aza-2'-dC. Expression of ERβ was detected at both transcriptional and translational levels. As a result, both mRNA and protein of ERβ were elevated following treatment with increasing concentrations of the demethylating agent. Taken together, our results support the conclusion that abnormal methylation of the ERβ promoter may increase genetic susceptibility to prostate cancer.

Indexed as

DNA MethylationPromoter Regions, GeneticAgedAged, 80 and overAzacitidineCase-Control StudiesCell Line, TumorDecitabineEnzyme InhibitorsEstrogen Receptor betaGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansMaleMiddle AgedProspective StudiesAzacitidineDecitabineEnzyme InhibitorsEstrogen Receptor betaEstrogen receptor βGene expressionGenetic susceptibilityMethylationProstate cancer

Identifiers

PMID26547439
OpenAlexW2238793259

What OpenQuestion holds

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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.