Evidence map›Paper›PMID 30341411›Full record

ArticleProstate cancer and prostatic diseases2019

Single-nucleotide polymorphisms in DNMT3B gene and DNMT3B mRNA expression in association with prostate cancer mortality.

Renata Zelic, Valentina Fiano, Ericka M Ebot, Sarah Coseo Markt, Chiara Grasso, Morena Trevisan, Laura De Marco, Luisa Delsedime, Daniela Zugna, Lorelei A Mucci and 1 more

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Article in Prostate cancer and prostatic diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
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  4. Regulation ofCancer management and research · 2020
    Article
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

11 authors at 5 institutions in 3 countries.

Renata ZelicClinical Epidemiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden. renata.zelic@ki.se.
Valentina FianoCancer Epidemiology Unit-CERMS, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.
Ericka M EbotDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, 02115, USA.
Sarah Coseo MarktDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, 02115, USA.
Chiara GrassoCancer Epidemiology Unit-CERMS, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.
Morena TrevisanCancer Epidemiology Unit-CERMS, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.
Laura De MarcoCancer Epidemiology Unit-CERMS, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.
Luisa DelsedimeDivision of Pathology, A.O.U. Città della Salute e della Scienza Hospital, Turin, Italy.
Daniela ZugnaCancer Epidemiology Unit-CERMS, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.
Lorelei A MucciDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, 02115, USA.
Lorenzo RichiardiCancer Epidemiology Unit-CERMS, Department of Medical Sciences, University of Turin, and CPO-Piemonte, Turin, Italy.
Piedmont Reference Center for Epidemiology and Cancer Prevention · ITHarvard University · USUniversity of Turin · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGermline variants in DNA methyltransferase 3B (DNMT3B) may influence DNMT3B enzymatic activity, which, in turn, may affect cancer aggressiveness by altering DNA methylation.

methodsThe study involves two Italian cohorts (NTAT cohort, n = 157, and 1980s biopsy cohort, n = 182) and two U.S. cohorts (Health Professionals Follow-Up Study, n = 214, and Physicians' Health Study, n = 298) of prostate cancer (PCa) patients, and a case-control study of lethal (n = 113) vs indolent (n = 290) PCa with DNMT3B mRNA expression data nested in the U.S. cohorts. We evaluated the association between: three selected DNMT3B variants and global DNA methylation using linear regression in the NTAT cohort, the three DNMT3B variants and PCa mortality using Cox proportional hazards regression in all cohorts, and DNMT3B expression and lethal PCa using logistic regression, with replication in publicly available databases (TCGA, n = 492 and MSKCC, n = 140).

resultsThe TT genotype of rs1569686 was associated with LINE-1 hypomethylation in tumor tissue (β = -2.71, 95% CI: -5.41, -0.05). There was no evidence of association between DNMT3B variants and PCa mortality. DNMT3B expression was consistently associated with lethal PCa in the two U.S. cohorts (3rd vs 1st tertile, combined cohorts: OR = 2.04, 95% CI: 1.13, 3.76); the association was replicated in TCGA and MSKCC data (3rd vs 1st tertile, TCGA: HR = 3.00, 95% CI: 1.78, 5.06; MSKCC: HR = 2.22, 95% CI: 1.01, 4.86).

conclusionsAlthough there was no consistent evidence of an association between DNMT3B variants and PCa mortality, the TT genotype of rs1569686 was associated with LINE-1 hypomethylation in tumor tissue and DNMT3B mRNA expression was associated with an increased risk of lethal PCa.

Indexed as

Gene Expression Regulation, NeoplasticPolymorphism, Single NucleotideRNA, MessengerAdultAgedAged, 80 and overAllelesBiopsyCohort StudiesDNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3BGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BRNA, Messenger

Identifiers

PMID30341411
OpenAlexW2896238384

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.