Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis.
10.1186/s12199-018-0697-0
- Author:
Juan LI
1
;
Zhigang CUI
2
;
Hang LI
1
;
Xiaoting LV
1
;
Min GAO
1
;
Zitai YANG
1
;
Yanhong BI
1
;
Baosen ZHOU
1
;
Zhihua YIN
3
Author Information
1. Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China.
2. School of Nursing, China Medical University, Shenyang, 110122, China.
3. Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China. zhyin@cmu.edu.cn.
- Publication Type:Journal Article
- Keywords:
Cancer;
HOTAIR;
LncRNAs;
Polymorphism;
Susceptibility
- MeSH:
Genetic Predisposition to Disease;
epidemiology;
Genotype;
Humans;
Neoplasms;
epidemiology;
genetics;
Odds Ratio;
Polymorphism, Single Nucleotide;
RNA, Long Noncoding;
genetics;
metabolism;
Risk Factors
- From:Environmental Health and Preventive Medicine
2018;23(1):8-8
- CountryJapan
- Language:English
-
Abstract:
BACKGROUND:An increasing number of publications are drawing attention to the associations between six common polymorphisms in HOX transcript anti-sense RNA (HOTAIR) and the risk of cancers, while these results have been controversial and inconsistent. We conducted an up-to-date meta-analysis to pool eligible studies and to further explore the possible relationships between HOTAIR polymorphisms (rs920778, rs7958904, rs12826786, 4,759,314, rs874945, and rs1899663) and cancer risk.
METHODS:A systematic retrieval was conducted up to 1 July 2017 in the PubMed, Web of Science, and CNKI databases. Eighteen eligible publications including 45 case-control studies with 58,601subjects were enrolled for assessing the associations between the 6 polymorphisms in HOTAIR and cancer risk. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were analyzed to reveal the polymorphisms and susceptibility to cancer. All the statistical analyses were performed using STATA 11.0 software.
RESULTS:The pooled analyses detected significant associations between the rs920778 polymorphism and increased susceptibility to cancer in recessive, dominant, allelic, homozygous, and heterozygous models. For the rs7958904 polymorphism, we obtained the polymorphism significantly decreased susceptibility to overall cancer risk among five genetic models rather than recessive and homozygous models. For the rs12826786 polymorphism, we identified it significantly increased susceptibility to cancer risk in all genetic models rather than heterozygous models. However, no significant association was found between the rs1899663, rs874945, and rs4759314 polymorphisms and susceptibility of cancer.
CONCLUSION:These findings of the meta-analysis suggest that HOTAIR polymorphism may contribute to cancer susceptibility.
