Department of Urology, the Second Hospital of Hebei Medical University, Shijiazhuang, China.
Nucleosides Nucleotides Nucleic Acids. 2023;42(12):1004-1018. doi: 10.1080/15257770.2023.2226691. Epub 2023 Jun 22.
Some studies have suggested that MNS16A polymorphism in telomerase reverse transcriptase (TERT) gene is associated with cancer risk in various populations and types of cancer. However, the results of previous studies exploring this link have been inconclusive. To be able to accurately assess the association between MNS16A polymorphism and cancer risk, we performed a meta-analysis based on 17 studies described in 12 articles, including 13,764 controls and 7,132 cases. Combined odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated to assess the strength of the association in either a fixed-effects model or, if applicable, a random-effects model. Heterogeneity between articles and their publication bias were also tested. Overall, pooled results showed that no significant association between this polymorphism and cancer was found in the five gene models tested.Considering that there may be too many negative studies in the included studies, diluting the results of the total sample size, we stratified these studies according to ethnicity, source of controls and cancer type. In the stratified analysis, a statistically significant association was observed between Asians and population-based studies. We also analyzed by cancer type and found a significantly increased risk of brain cancer in five genetic models. Our results suggest that MNS16A polymorphism is likely to contribute to increased cancer risk.
一些研究表明，端粒酶逆转录酶（TERT）基因中的 MNS16A 多态性与不同人群和不同类型癌症的癌症风险相关。然而，之前探讨这种关联的研究结果尚无定论。为了能够准确评估 MNS16A 多态性与癌症风险之间的关联，我们基于 12 篇文章中描述的 17 项研究进行了荟萃分析，其中包括 13764 名对照和 7132 例病例。综合优势比（OR）及其相应的 95％置信区间（CI）用于评估固定效应模型或适用时的随机效应模型中关联的强度。还测试了文章之间的异质性及其发表偏倚。总体而言，汇总结果表明，在测试的五个基因模型中，这种多态性与癌症之间没有发现明显的关联。考虑到纳入的研究中可能有太多的阴性研究，稀释了总样本量的结果，我们根据种族、对照来源和癌症类型对这些研究进行了分层。在分层分析中，在亚洲人和基于人群的研究中观察到了统计学上显著的关联。我们还按癌症类型进行了分析，发现五种遗传模型中脑癌的风险显著增加。我们的研究结果表明，MNS16A 多态性可能导致癌症风险增加。
