Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis
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-analysi...
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| Format: | Article |
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Komiyama Printing Co. Ltd
2018-02-01
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| Series: | Environmental Health and Preventive Medicine |
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| Online Access: | http://link.springer.com/article/10.1186/s12199-018-0697-0 |
| _version_ | 1818176158407065600 |
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| author | Juan Li Zhigang Cui Hang Li Xiaoting Lv Min Gao Zitai Yang Yanhong Bi Baosen Zhou Zhihua Yin |
| author_facet | Juan Li Zhigang Cui Hang Li Xiaoting Lv Min Gao Zitai Yang Yanhong Bi Baosen Zhou Zhihua Yin |
| author_sort | Juan Li |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T20:11:44Z |
| format | Article |
| id | doaj.art-879b34699ebc4f9ea251602e55d50bbe |
| institution | Directory Open Access Journal |
| issn | 1342-078X 1347-4715 |
| language | English |
| last_indexed | 2024-12-11T20:11:44Z |
| publishDate | 2018-02-01 |
| publisher | Komiyama Printing Co. Ltd |
| record_format | Article |
| series | Environmental Health and Preventive Medicine |
| spelling | doaj.art-879b34699ebc4f9ea251602e55d50bbe2022-12-22T00:52:17ZengKomiyama Printing Co. LtdEnvironmental Health and Preventive Medicine1342-078X1347-47152018-02-0123111210.1186/s12199-018-0697-0Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysisJuan Li0Zhigang Cui1Hang Li2Xiaoting Lv3Min Gao4Zitai Yang5Yanhong Bi6Baosen Zhou7Zhihua Yin8Department of Epidemiology, School of Public Health, China Medical UniversitySchool of Nursing, China Medical UniversityDepartment of Epidemiology, School of Public Health, China Medical UniversityDepartment of Epidemiology, School of Public Health, China Medical UniversityDepartment of Epidemiology, School of Public Health, China Medical UniversityDepartment of Epidemiology, School of Public Health, China Medical UniversityDepartment of Epidemiology, School of Public Health, China Medical UniversityDepartment of Epidemiology, School of Public Health, China Medical UniversityDepartment of Epidemiology, School of Public Health, China Medical UniversityAbstract 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.http://link.springer.com/article/10.1186/s12199-018-0697-0CancerHOTAIRLncRNAsPolymorphismSusceptibility |
| spellingShingle | Juan Li Zhigang Cui Hang Li Xiaoting Lv Min Gao Zitai Yang Yanhong Bi Baosen Zhou Zhihua Yin Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis Environmental Health and Preventive Medicine Cancer HOTAIR LncRNAs Polymorphism Susceptibility |
| 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 | Cancer HOTAIR LncRNAs Polymorphism Susceptibility |
| url | http://link.springer.com/article/10.1186/s12199-018-0697-0 |
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