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

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...

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Autores principales: Chu, Haiyan, Chen, Yaoyao, Yuan, Qinbo, Hua, Qiuhan, Zhang, Xu, Wang, Meilin, Tong, Na, Zhang, Wei, Chen, Jinfei, Zhang, Zhengdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522144/
https://www.ncbi.nlm.nih.gov/pubmed/28159929
http://dx.doi.org/10.18632/oncotarget.14920
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author Chu, Haiyan
Chen, Yaoyao
Yuan, Qinbo
Hua, Qiuhan
Zhang, Xu
Wang, Meilin
Tong, Na
Zhang, Wei
Chen, Jinfei
Zhang, Zhengdong
author_facet Chu, Haiyan
Chen, Yaoyao
Yuan, Qinbo
Hua, Qiuhan
Zhang, Xu
Wang, Meilin
Tong, Na
Zhang, Wei
Chen, Jinfei
Zhang, Zhengdong
author_sort Chu, Haiyan
collection PubMed
description 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, P(heterogeneity)<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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spelling pubmed-55221442017-08-08 The HOTAIR, PRNCR1 and POLR2E polymorphisms are associated with cancer risk: a meta-analysis Chu, Haiyan Chen, Yaoyao Yuan, Qinbo Hua, Qiuhan Zhang, Xu Wang, Meilin Tong, Na Zhang, Wei Chen, Jinfei Zhang, Zhengdong Oncotarget Research Paper 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, P(heterogeneity)<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. Impact Journals LLC 2017-01-31 /pmc/articles/PMC5522144/ /pubmed/28159929 http://dx.doi.org/10.18632/oncotarget.14920 Text en Copyright: © 2017 Chu et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Chu, Haiyan
Chen, Yaoyao
Yuan, Qinbo
Hua, Qiuhan
Zhang, Xu
Wang, Meilin
Tong, Na
Zhang, Wei
Chen, Jinfei
Zhang, Zhengdong
The HOTAIR, PRNCR1 and POLR2E polymorphisms are associated with cancer risk: a meta-analysis
title The HOTAIR, PRNCR1 and POLR2E polymorphisms are associated with cancer risk: a meta-analysis
title_full The HOTAIR, PRNCR1 and POLR2E polymorphisms are associated with cancer risk: a meta-analysis
title_fullStr The HOTAIR, PRNCR1 and POLR2E polymorphisms are associated with cancer risk: a meta-analysis
title_full_unstemmed The HOTAIR, PRNCR1 and POLR2E polymorphisms are associated with cancer risk: a meta-analysis
title_short The HOTAIR, PRNCR1 and POLR2E polymorphisms are associated with cancer risk: a meta-analysis
title_sort hotair, prncr1 and polr2e polymorphisms are associated with cancer risk: a meta-analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522144/
https://www.ncbi.nlm.nih.gov/pubmed/28159929
http://dx.doi.org/10.18632/oncotarget.14920
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