Department of Medical Oncology, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA, 91010, USA.
Department of Chemistry, GLA University, Mathura, Uttar Pradesh, 281406, India.
Sci Rep. 2024 Sep 30;14(1):22670. doi: 10.1038/s41598-024-72586-7.
Cancer ranks as the second leading cause of mortality worldwide, prompting extensive investigations into factors contributing to its development. Among these factors, genetic variations, known as genotypic polymorphisms, have been identified as significant influencers in the susceptibility to various types of cancer. Recent research has focused on exploring the connection between polymorphisms in the Long Non-coding RNA HOTAIR and cancer risk. However, the results from these studies have been inconsistent, leading to ambiguity and controversy. To address this uncertainty, we conducted a systematic analysis by gathering relevant studies from PubMed, EMBASE, and Google Scholar. Specifically, we focused on three well-studied polymorphisms within the HOTAIR lncRNA (HOTAIR rs920778 C > T, HOTAIR rs1899663 G > T, HOTAIR rs4759314 A > G) and their association with cancer risk. Our meta-analysis included data from 48 case-control studies involving 42,321 cases and 54,137 controls. The results of our updated meta-analysis revealed a significant correlation between HOTAIR rs1899663 G > T and HOTAIR rs4759314 A > G polymorphisms and overall cancer risk, particularly in the homozygous and recessive genetic models. Subgroup analysis further revealed that these associations were notably pronounced in the Asian population but not observed in the Iranian population. Furthermore, our findings underscore the potential of HOTAIR polymorphisms as diagnostic markers for overall cancer risk, particularly in gynecological cancers, precisely, HOTAIR rs1899663 G > T polymorphism in breast cancer. In conclusion, our systematic analysis provides compelling evidence that Long Non-coding RNA HOTAIR polymorphisms are linked to cancer risk, particularly in certain populations and cancer types, suggesting their potential clinical relevance as diagnostic indicators.
癌症是全球范围内导致死亡的第二大主要原因，促使人们广泛研究导致其发生的各种因素。在这些因素中，被称为基因型多态性的遗传变异已被确定为各种癌症易感性的重要影响因素。最近的研究集中在探索长链非编码 RNA HOTAIR 多态性与癌症风险之间的联系。然而，这些研究的结果并不一致，导致结果存在不确定性和争议。为了解决这一不确定性，我们从 PubMed、EMBASE 和 Google Scholar 等数据库中收集了相关研究，进行了系统分析。具体来说，我们专注于 HOTAIR lncRNA 中的三个研究充分的多态性（HOTAIR rs920778 C>T、HOTAIR rs1899663 G>T、HOTAIR rs4759314 A>G）及其与癌症风险的关联。我们的荟萃分析包括来自 48 项病例对照研究的数据，涉及 42321 例病例和 54137 例对照。我们更新的荟萃分析结果表明，HOTAIR rs1899663 G>T 和 HOTAIR rs4759314 A>G 多态性与总体癌症风险之间存在显著相关性，尤其是在纯合子和隐性遗传模型中。亚组分析进一步表明，这些关联在亚洲人群中尤为显著，但在伊朗人群中未观察到。此外，我们的研究结果强调了 HOTAIR 多态性作为总体癌症风险的诊断标志物的潜力，特别是在妇科癌症中，具体而言，HOTAIR rs1899663 G>T 多态性在乳腺癌中。总之，我们的系统分析提供了有力的证据表明，长链非编码 RNA HOTAIR 多态性与癌症风险相关，特别是在某些人群和癌症类型中，提示其作为诊断指标的潜在临床相关性。
