Lihua Xu, Jiang Deng, Lili Gong, Yajuan Chen, Gang Hu
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A total of 29 case-control studies were selected for quantitative analysis. Crude odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using Stata software (Version 11) to evaluate the association between the rs920778 polymorphism and cancer risk. Heterogeneity and publication bias were assessed using chi-square tests, <i>I</i> <sup>2</sup> statistics, and funnel plots with Egger's test. <b>Results:</b> Our analysis of the results found a significant association between the rs920778 polymorphism and cancer susceptibility. In Asian populations, all five genetic models of the rs920778 polymorphism have been shown to increase overall cancer susceptibility. At the same time, we performed stratified analyses based on cancer type and found that all genetic models revealed significantly increased susceptibility to CC in Asian populations. Conversely, the heterozygote model of rs920778 demonstrated significantly reduced susceptibility to BC, with consistent effects across racial groups. <b>Conclusions:</b> Our meta-analysis demonstrated that the HOTAIR rs920778 polymorphism may be a risk factor for cancer but may serve as a protective factor for BC. Future studies require larger sample sizes and gene function analysis, suggesting that the rs920778 polymorphism could serve as a genetic biomarker to guide targeted therapies or cancer screening.</p>","PeriodicalId":12778,"journal":{"name":"Genetics research","volume":"2025 ","pages":"2340176"},"PeriodicalIF":1.4000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12245502/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association Between <i>rs920778</i> Polymorphisms and Cancer Risk: An Updated Meta-Analysis.\",\"authors\":\"Lihua Xu, Jiang Deng, Lili Gong, Yajuan Chen, Gang Hu\",\"doi\":\"10.1155/genr/2340176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background:</b> A growing number of studies are exploring the association between HOTAIR rs920778 polymorphisms and cancer risk, but to date, there has been controversy and uncertainty. Preliminary evidence suggests that this polymorphism may influence cancer susceptibility, particularly in Asian populations and specific cancer types such as cervical cancer (CC) and breast cancer (BC). We therefore conducted an updated meta-analysis to accurately assess the association of the HOTAIR rs920778 polymorphism with cancer risk. <b>Method:</b> Comprehensive literature searches were performed in PubMed, Embase, and Web of Science up to September 8, 2023. Inclusion criteria included case-control studies with allele frequency data for both cases and controls. A total of 29 case-control studies were selected for quantitative analysis. Crude odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using Stata software (Version 11) to evaluate the association between the rs920778 polymorphism and cancer risk. Heterogeneity and publication bias were assessed using chi-square tests, <i>I</i> <sup>2</sup> statistics, and funnel plots with Egger's test. <b>Results:</b> Our analysis of the results found a significant association between the rs920778 polymorphism and cancer susceptibility. In Asian populations, all five genetic models of the rs920778 polymorphism have been shown to increase overall cancer susceptibility. At the same time, we performed stratified analyses based on cancer type and found that all genetic models revealed significantly increased susceptibility to CC in Asian populations. Conversely, the heterozygote model of rs920778 demonstrated significantly reduced susceptibility to BC, with consistent effects across racial groups. <b>Conclusions:</b> Our meta-analysis demonstrated that the HOTAIR rs920778 polymorphism may be a risk factor for cancer but may serve as a protective factor for BC. 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引用次数: 0
摘要
背景:越来越多的研究正在探索HOTAIR rs920778多态性与癌症风险之间的关系,但迄今为止,存在争议和不确定性。初步证据表明,这种多态性可能影响癌症易感性,特别是在亚洲人群和特定的癌症类型,如宫颈癌(CC)和乳腺癌(BC)。因此,我们进行了一项更新的荟萃分析,以准确评估HOTAIR rs920778多态性与癌症风险的关系。方法:对截至2023年9月8日的PubMed、Embase和Web of Science进行综合文献检索。纳入标准包括病例和对照组的等位基因频率数据的病例对照研究。共选择29项病例对照研究进行定量分析。使用Stata软件(Version 11)计算粗比值比(ORs)和95%置信区间(CIs),评估rs920778多态性与癌症风险之间的关系。采用卡方检验、i2统计量和Egger检验的漏斗图评估异质性和发表偏倚。结果:我们的分析结果发现rs920778多态性与癌症易感性之间存在显著关联。在亚洲人群中,rs920778多态性的所有五种遗传模型都显示增加了总体的癌症易感性。同时,我们根据癌症类型进行了分层分析,发现所有遗传模型都显示亚洲人群对CC的易感性显著增加。相反,rs920778的杂合子模型显示对BC的易感性显著降低,在不同种族群体中效果一致。结论:我们的荟萃分析表明,HOTAIR rs920778多态性可能是癌症的危险因素,但也可能是BC的保护因素。未来的研究需要更大的样本量和基因功能分析,提示rs920778多态性可以作为指导靶向治疗或癌症筛查的遗传生物标志物。
Association Between rs920778 Polymorphisms and Cancer Risk: An Updated Meta-Analysis.
Background: A growing number of studies are exploring the association between HOTAIR rs920778 polymorphisms and cancer risk, but to date, there has been controversy and uncertainty. Preliminary evidence suggests that this polymorphism may influence cancer susceptibility, particularly in Asian populations and specific cancer types such as cervical cancer (CC) and breast cancer (BC). We therefore conducted an updated meta-analysis to accurately assess the association of the HOTAIR rs920778 polymorphism with cancer risk. Method: Comprehensive literature searches were performed in PubMed, Embase, and Web of Science up to September 8, 2023. Inclusion criteria included case-control studies with allele frequency data for both cases and controls. A total of 29 case-control studies were selected for quantitative analysis. Crude odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using Stata software (Version 11) to evaluate the association between the rs920778 polymorphism and cancer risk. Heterogeneity and publication bias were assessed using chi-square tests, I2 statistics, and funnel plots with Egger's test. Results: Our analysis of the results found a significant association between the rs920778 polymorphism and cancer susceptibility. In Asian populations, all five genetic models of the rs920778 polymorphism have been shown to increase overall cancer susceptibility. At the same time, we performed stratified analyses based on cancer type and found that all genetic models revealed significantly increased susceptibility to CC in Asian populations. Conversely, the heterozygote model of rs920778 demonstrated significantly reduced susceptibility to BC, with consistent effects across racial groups. Conclusions: Our meta-analysis demonstrated that the HOTAIR rs920778 polymorphism may be a risk factor for cancer but may serve as a protective factor for BC. Future studies require larger sample sizes and gene function analysis, suggesting that the rs920778 polymorphism could serve as a genetic biomarker to guide targeted therapies or cancer screening.
期刊介绍:
Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.