Abstract
Background: DNA 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.
Objective: To 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.
Method: PubMed (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.
Results: Overall 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.
Conclusion: Our 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.
Keywords: DNA methyltransferase-3B, Polymorphism, Cancer, Meta-analysis, Asians, Caucasians.
Current Genomics
Title:Meta-analysis Reveals No Association of DNMT3B -149 C>T Gene Polymorphism With Overall Cancer Risk
Volume: 17 Issue: 6
Author(s): Raju Kumar Mandal, Shafiul Haque, Mohd Wahid, Arshad Jawed, Naseem Akhter, Md. Ekhlaque Ahmed Khan, Aditya Kumar Panda, Mohammed Yahya Areeshi and Sajad Ahmad Dar
Affiliation:
Keywords: DNA methyltransferase-3B, Polymorphism, Cancer, Meta-analysis, Asians, Caucasians.
Abstract: Background: DNA 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.
Objective: To 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.
Method: PubMed (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.
Results: Overall 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.
Conclusion: Our 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.
Export Options
About this article
Cite this article as:
Mandal Kumar Raju, Haque Shafiul, Wahid Mohd, Jawed Arshad, Akhter Naseem, Khan Ekhlaque Ahmed Md., Panda Kumar Aditya, Areeshi Yahya Mohammed and Dar Ahmad Sajad, Meta-analysis Reveals No Association of DNMT3B -149 C>T Gene Polymorphism With Overall Cancer Risk, Current Genomics 2016; 17 (6) . https://dx.doi.org/10.2174/1389202917666160530150036
DOI https://dx.doi.org/10.2174/1389202917666160530150036 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced AI Techniques in Big Genomic Data Analysis
The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, ...read more
Current Genomics in Cardiovascular Research
Cardiovascular diseases are the main cause of death in the world, in recent years we have had important advances in the interaction between cardiovascular disease and genomics. In this Research Topic, we intend for researchers to present their results with a focus on basic, translational and clinical investigations associated with ...read more
Genomic Insights into Oncology: Harnessing Machine Learning for Breakthroughs in Cancer Genomics.
This special issue aims to explore the cutting-edge intersection of genomics and oncology, with a strong emphasis on original data and experimental validation. While maintaining the focus on how machine learning and advanced data analysis techniques are revolutionizing our understanding and treatment of cancer, this issue will prioritize contributions that ...read more
Integrating Artificial Intelligence and Omics Approaches in Complex Diseases
Recent advancements in AI and omics methodologies have revolutionized the landscape of biomedical research, enabling us to extract valuable information from vast amounts of complex data. By combining AI algorithms with omics technologies such as genomics, proteomics, metabolomics, and transcriptomics, researchers can obtain a more comprehensive and multi-dimensional analysis of ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Pemetrexed – First-Line Therapy for Non-Squamous Non-Small Cell Lung Cancer: A Review of Patent Literature
Recent Patents on Anti-Cancer Drug Discovery Looking at Drug Resistance Mechanisms for Microtubule Interacting Drugs: Does TUBB3 Work?
Current Cancer Drug Targets Pharmacogenetics and Pharmacotherapy of Military Personnel Suffering from Post-traumatic Stress Disorder
Current Neuropharmacology Brain Tumor Causes, Symptoms, Diagnosis and Radiotherapy Treatment
Current Medical Imaging Bladder Cancer: A Simple Model Becomes Complex
Current Genomics Plant Glycosides and Aglycones Displaying Antiproliferative and Antitumour Activities – A Review
Current Bioactive Compounds Detection of Residual/Recurrent Cervical Disease after Successful LEEP Conization: the Possible Role of mRNA-HPV Test
Current Pharmaceutical Design Antineoplastic Potential of Medicinal Plants
Recent Patents on Biotechnology Established Treatments of Psoriasis
Current Drug Targets - Inflammation & Allergy Coumarin Compounds in Medicinal Chemistry: Some Important Examples from the Last Years
Current Topics in Medicinal Chemistry Serum Biomarker Panel for Rapid Early Diagnosis of Lung Cancer
Current Cancer Drug Targets Cancer Stem Cells with Overexpression of Neuronal Markers Enhance Chemoresistance and Invasion in Retinoblastoma
Current Cancer Drug Targets Emerging Concepts in the Analysis of Mitochondrial Genome Instability
Current Genomics Aminopeptidases in Cancer, Biology and Prospects for Pharmacological Intervention
Current Cancer Drug Targets Turning Tumor-Promoting Copper into an Anti-Cancer Weapon via High-Throughput Chemistry
Current Medicinal Chemistry Beyond Oncolytic Virotherapy: Replication-Competent Retrovirus Vectors for Selective and Stable Transduction of Tumors
Current Gene Therapy <i>In Vivo</i> Anti-Tumor Effects of Flavokawain A in 4T1 Breast Cancer Cell-Challenged Mice
Anti-Cancer Agents in Medicinal Chemistry Targeting the Nucleus: An Overview of Auger-Electron Radionuclide Therapy
Current Drug Discovery Technologies A Systematic Approach to Vulvodynia
Current Women`s Health Reviews Analysis of the Potential for HIV-1 Vpr as an Anti-Cancer Agent
Current HIV Research