Evidence map›Paper›PMID 28217009›Full record

ArticleCurrent genomics2016

Meta-analysis Reveals No Association of DNMT3B -149 C>T Gene Polymorphism With Overall Cancer Risk.

Raju Kumar Mandal, Shafiul Haque, Mohd Wahid, Arshad Jawed, Naseem Akhter, Md Ekhlaque Ahmed Khan, Aditya Kumar Panda, Mohammed Yahya Areeshi, Sajad Ahmad Dar

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Raju Kumar MandalResearch and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan-45142, Kingdom of Saudi Arabia.
Shafiul HaqueResearch and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan-45142, Kingdom of Saudi Arabia;; Department of Biosciences, Jamia Millia Islamia (A Central University), New Delhi-110025, India.
Mohd WahidResearch and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan-45142, Kingdom of Saudi Arabia;; Department of Biosciences, Jamia Millia Islamia (A Central University), New Delhi-110025, India.
Arshad JawedResearch and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan-45142, Kingdom of Saudi Arabia.
Naseem AkhterDepartment of Biosciences, Jamia Millia Islamia (A Central University), New Delhi-110025, India;; Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Albaha University, Albaha, Saudi Arabia.
Md Ekhlaque Ahmed KhanCentre for Life Science, School of Natural Sciences, Central University of Jharkhand, Ranchi-835205, Jharkhand, India.
Aditya Kumar PandaCentre for Life Science, School of Natural Sciences, Central University of Jharkhand, Ranchi-835205, Jharkhand, India.
Mohammed Yahya AreeshiResearch and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan-45142, Kingdom of Saudi Arabia.
Sajad Ahmad DarResearch and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan-45142, Kingdom of Saudi Arabia.
Jazan University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methyltransferase-3B (DNMT3B) plays a key role in establishment and maintenance of genomic methylation patterns. Polymorphism in promoter region -149 C>T (C46359T) of DNMT3B gene may alter DNMT3B activity which leads to increased susceptibility to cancer. Inconsistent results regarding this have been reported in a number of studies.

objectiveTo carry out a meta-analysis of the studies reported to assess the precise relationship between the DNMT3B -149 C>T polymorphism and the overall cancer risk.

methodPubMed (MEDLINE) web database was searched for the studies concerning DNMT3B -149 C>T polymorphism and its association with cancer risk. The pooled odds ratios (ORs) along with 95% confidence intervals (95% CIs) were calculated for all the genetic models, from the selected case-control studies, by meta-analysis.

resultsOverall eighteen studies containing 5583 cancer cases and 7618 controls were analyzed. No significant risk was observed overall for T allele carrier (T vs. C: p=0.303; OR=1.032, 95% CI=0.972-1.097), homozygous (TT vs. CC: p=0.336; OR=1.063, 95% CI=0.939-1.204), heterozygous (CT vs. CC: p=0.802; OR=1.022, 95% CI=0.860-1.216), dominant (TT vs. CC+CT: p=0.298; OR=1.101, 95% CI=0.919-1.319) and recessive (TT+CT vs. CC: p=0.656; OR=1.021, 95% CI=0.931-1.121) genetic models. Subgroup analysis of Asian and Caucasian populations also did not demonstrate any cancer risk in all the genetic models studied.

conclusionOur meta-analysis proposes that the DNMT3B -149 C>T polymorphism may not be an independent predisposing factor for the risk of cancer. However, larger sample size and expression studies are required to confirm the observation.

Indexed as

AsiansCancerCaucasiansDNA methyltransferase-3BMeta-analysisPolymorphism

Identifiers

PMID28217009
PMCPMC5282604
OpenAlexW2541892673

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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.