Oncotarget

Research Papers:

The HOTAIR, PRNCR1 and POLR2E polymorphisms are associated with cancer risk: a meta-analysis

Haiyan Chu, Yaoyao Chen, Qinbo Yuan, Qiuhan Hua, Xu Zhang, Meilin Wang, Na Tong, Wei Zhang, Jinfei Chen and Zhengdong Zhang _

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Oncotarget. 2017; 8:43271-43283. https://doi.org/10.18632/oncotarget.14920

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Abstract

Haiyan Chu1,2,3, Yaoyao Chen1, Qinbo Yuan4,5, Qiuhan Hua1, Xu Zhang1, Meilin Wang1,2, Na Tong1, Wei Zhang5, Jinfei Chen3 and Zhengdong Zhang1,2

1Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China

2Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China

3Department of Oncology, The Affiliated Nanjing First Hospital, Nanjing Medical University, Nanjing, China

4Department of Urology, Huaiyin Hospital of Huai’an City, Huai’an, China

5Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

Correspondence to:

Zhengdong Zhang, email: drzdzhang@gmail.com

Keywords: lncRNA, polymorphism, meta-analysis, cancer, epidemiology

Received: August 29, 2016     Accepted: December 27, 2016     Published: January 31, 2017

ABSTRACT

Long non-coding RNAs (LncRNAs) have been widely studied and aberrant expression of lncRNAs are involved in diverse cancers. Genetic variation in lncRNAs can influence the lncRNAs expression and function. At present, there are many studies to investigate the association between lncRNAs polymorphisms and cancer susceptibility. However, it has no systematic study to evaluate the association. We performed a meta-analysis to summarize the results of common lncRNAs (HOTAIR, PRNCR1, POLR2E and H19) polymorphisms on cancer risk, by using the random-effect model to obtain the odds ratio (ORs) and 95% confidence interval (95%CI). We also applied the meta-regression and publication bias analysis to seek the source of heterogeneity and evaluate the stability of results, respectively. The summary results indicated that HOTAIR rs920778 increased the cancer risk in recessive model (OR = 1.61, 95% CI = 1.08-2.41, Pheterogeneity<0.001). For PRNCR1 (rs1016343, rs16901946) and POLR2E (rs3787016), we also found the significant association with incresed risk of cancer (all P<0.05). However, we did not observe any significant association between H19 rs2107425 and cancer risk. Our meta-analysis results revealed that these four lncRNAs polymorphisms (HOTAIR rs920778, PRNCR1 rs1016343 and rs16901946, POLR2E rs3787016) can contribute to cancer risk. Further studies should confirm these findings.


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