Association between HOTAIR genetic polymorphisms and cancer susceptibility: A meta-analysis involving 122,832 subjects
The association between polymorphisms in HOTAIR gene and cancer susceptibility has been analyzed intensively, but the conclusions are inconsistent. Therefore, we carried out a meta-analysis aiming to assess the relationship exactly. Eligible studies were searched in PubMed and Embase databases up to...
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| Published in | Genomics (San Diego, Calif.) Vol. 112; no. 5; pp. 3036 - 3055 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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United States
Elsevier Inc
01.09.2020
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| Abstract | The association between polymorphisms in HOTAIR gene and cancer susceptibility has been analyzed intensively, but the conclusions are inconsistent. Therefore, we carried out a meta-analysis aiming to assess the relationship exactly. Eligible studies were searched in PubMed and Embase databases up to October 31, 2019. Odds ratios with 95% confidence intervals were used to assess the strength of association. Sensitivity analysis and publication bias were applied to evaluate the reliability of the study. Moreover, TSA was conducted to estimate the robustness of the results. Totally, 116 studies involving 122,832 subjects were analyzed in our meta-analysis. Significant increased risk of cancer was detected for the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms. Further subgroup analyses according to cancer type revealed that different polymorphisms were associated with the risk of specific type of cancer. For example, the rs4759314 polymorphism was significantly associated with the risk of estrogen-dependent cancer, whereas the rs920778 polymorphism was associated with the risk of gastrointestinal cancer. In conclusion, our findings indicated that the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms in HOTAIR may serve as genetic biomarkers of cancer.
•This is the latest and largest meta-analysis focusing on the polymorphisms in HOTAIR gene and cancer susceptibility.•A total of 116 eligible studies comprising 54,151 cases and 68,681 controls were analyzed.•Significant increased cancer risk was detected for rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms.•rs4759314 was associated with estrogen-dependent cancer, whereas rs920778 associated with gastrointestinal cancer.•Trial sequential analysis strengthened findings of our meta-analysis that cumulative evidence was adequate. |
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| AbstractList | The association between polymorphisms in HOTAIR gene and cancer susceptibility has been analyzed intensively, but the conclusions are inconsistent. Therefore, we carried out a meta-analysis aiming to assess the relationship exactly. Eligible studies were searched in PubMed and Embase databases up to October 31, 2019. Odds ratios with 95% confidence intervals were used to assess the strength of association. Sensitivity analysis and publication bias were applied to evaluate the reliability of the study. Moreover, TSA was conducted to estimate the robustness of the results. Totally, 116 studies involving 122,832 subjects were analyzed in our meta-analysis. Significant increased risk of cancer was detected for the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms. Further subgroup analyses according to cancer type revealed that different polymorphisms were associated with the risk of specific type of cancer. For example, the rs4759314 polymorphism was significantly associated with the risk of estrogen-dependent cancer, whereas the rs920778 polymorphism was associated with the risk of gastrointestinal cancer. In conclusion, our findings indicated that the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms in HOTAIR may serve as genetic biomarkers of cancer. The association between polymorphisms in HOTAIR gene and cancer susceptibility has been analyzed intensively, but the conclusions are inconsistent. Therefore, we carried out a meta-analysis aiming to assess the relationship exactly. Eligible studies were searched in PubMed and Embase databases up to October 31, 2019. Odds ratios with 95% confidence intervals were used to assess the strength of association. Sensitivity analysis and publication bias were applied to evaluate the reliability of the study. Moreover, TSA was conducted to estimate the robustness of the results. Totally, 116 studies involving 122,832 subjects were analyzed in our meta-analysis. Significant increased risk of cancer was detected for the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms. Further subgroup analyses according to cancer type revealed that different polymorphisms were associated with the risk of specific type of cancer. For example, the rs4759314 polymorphism was significantly associated with the risk of estrogen-dependent cancer, whereas the rs920778 polymorphism was associated with the risk of gastrointestinal cancer. In conclusion, our findings indicated that the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms in HOTAIR may serve as genetic biomarkers of cancer. •This is the latest and largest meta-analysis focusing on the polymorphisms in HOTAIR gene and cancer susceptibility.•A total of 116 eligible studies comprising 54,151 cases and 68,681 controls were analyzed.•Significant increased cancer risk was detected for rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms.•rs4759314 was associated with estrogen-dependent cancer, whereas rs920778 associated with gastrointestinal cancer.•Trial sequential analysis strengthened findings of our meta-analysis that cumulative evidence was adequate. The association between polymorphisms in HOTAIR gene and cancer susceptibility has been analyzed intensively, but the conclusions are inconsistent. Therefore, we carried out a meta-analysis aiming to assess the relationship exactly. Eligible studies were searched in PubMed and Embase databases up to October 31, 2019. Odds ratios with 95% confidence intervals were used to assess the strength of association. Sensitivity analysis and publication bias were applied to evaluate the reliability of the study. Moreover, TSA was conducted to estimate the robustness of the results. Totally, 116 studies involving 122,832 subjects were analyzed in our meta-analysis. Significant increased risk of cancer was detected for the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms. Further subgroup analyses according to cancer type revealed that different polymorphisms were associated with the risk of specific type of cancer. For example, the rs4759314 polymorphism was significantly associated with the risk of estrogen-dependent cancer, whereas the rs920778 polymorphism was associated with the risk of gastrointestinal cancer. In conclusion, our findings indicated that the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms in HOTAIR may serve as genetic biomarkers of cancer.The association between polymorphisms in HOTAIR gene and cancer susceptibility has been analyzed intensively, but the conclusions are inconsistent. Therefore, we carried out a meta-analysis aiming to assess the relationship exactly. Eligible studies were searched in PubMed and Embase databases up to October 31, 2019. Odds ratios with 95% confidence intervals were used to assess the strength of association. Sensitivity analysis and publication bias were applied to evaluate the reliability of the study. Moreover, TSA was conducted to estimate the robustness of the results. Totally, 116 studies involving 122,832 subjects were analyzed in our meta-analysis. Significant increased risk of cancer was detected for the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms. Further subgroup analyses according to cancer type revealed that different polymorphisms were associated with the risk of specific type of cancer. For example, the rs4759314 polymorphism was significantly associated with the risk of estrogen-dependent cancer, whereas the rs920778 polymorphism was associated with the risk of gastrointestinal cancer. In conclusion, our findings indicated that the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms in HOTAIR may serve as genetic biomarkers of cancer. |
| Author | Liu, Xu Zhao, Yating Li, Ying Zhang, Jian Lin, Fengzhan |
| Author_xml | – sequence: 1 givenname: Xu surname: Liu fullname: Liu, Xu organization: Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning, China – sequence: 2 givenname: Yating surname: Zhao fullname: Zhao, Yating organization: Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning, China – sequence: 3 givenname: Ying surname: Li fullname: Li, Ying organization: Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, China; Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, China – sequence: 4 givenname: Fengzhan surname: Lin fullname: Lin, Fengzhan organization: Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, China; Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, China – sequence: 5 givenname: Jian surname: Zhang fullname: Zhang, Jian email: jzhang@cmu.edu.cn organization: Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, China; Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, China |
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| Keywords | HOTAIR Trial sequential analysis Polymorphism Cancer risk Meta-analysis |
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| Snippet | The association between polymorphisms in HOTAIR gene and cancer susceptibility has been analyzed intensively, but the conclusions are inconsistent. Therefore,... |
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| Title | Association between HOTAIR genetic polymorphisms and cancer susceptibility: A meta-analysis involving 122,832 subjects |
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