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Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis
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 poo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819648/ https://www.ncbi.nlm.nih.gov/pubmed/29463216 http://dx.doi.org/10.1186/s12199-018-0697-0 |
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author | Li, Juan Cui, Zhigang Li, Hang Lv, Xiaoting Gao, Min Yang, Zitai Bi, Yanhong Zhou, Baosen Yin, Zhihua |
author_facet | Li, Juan Cui, Zhigang Li, Hang Lv, Xiaoting Gao, Min Yang, Zitai Bi, Yanhong Zhou, Baosen Yin, Zhihua |
author_sort | Li, Juan |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12199-018-0697-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5819648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58196482018-02-26 Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis Li, Juan Cui, Zhigang Li, Hang Lv, Xiaoting Gao, Min Yang, Zitai Bi, Yanhong Zhou, Baosen Yin, Zhihua Environ Health Prev Med Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12199-018-0697-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-20 2018 /pmc/articles/PMC5819648/ /pubmed/29463216 http://dx.doi.org/10.1186/s12199-018-0697-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Li, Juan Cui, Zhigang Li, Hang Lv, Xiaoting Gao, Min Yang, Zitai Bi, Yanhong Zhou, Baosen Yin, Zhihua Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis |
title | Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis |
title_full | Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis |
title_fullStr | Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis |
title_full_unstemmed | Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis |
title_short | Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis |
title_sort | long non-coding rna hotair polymorphism and susceptibility to cancer: an updated meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819648/ https://www.ncbi.nlm.nih.gov/pubmed/29463216 http://dx.doi.org/10.1186/s12199-018-0697-0 |
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