Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou 450001, China.
Medicina (Kaunas). 2022 Jan 25;58(2):176. doi: 10.3390/medicina58020176.
: At present, the association between the long non-coding RNA (lncRNA) metastasis-associated lung adenocarcinoma transcript 1 () polymorphism rs3200401 C > T and cancer risk remain controversial. The aim of this meta-analysis was to assess the association between rs3200401 C > T and cancer susceptibility. : The databases of PubMed, EMBASE and Web of Science were searched for literature published in English until 1 September 2021. The odd ratios (ORs) and 95% confidence intervals (CIs) were applied to evaluate the strength of association in five genetic models. Heterogeneity was assessed using the Q-test and I test. Begg's funnel plot and Egger's linear regression test were conducted to assess publication bias. Meta-regression analysis was used to explore potential sources of heterogeneity. Trial sequential analysis (TSA) was performed to validate the reliability of the results. : A total of 10 case-control studies involving 6630 cases and 7457 controls were included in this study. The pooled ORs showed no significant association between rs3200401 C > T and cancer risk in five genetic models. Similarly, the association was not found in the subgroups of control source, ethnicity and study quality. In the cancer type subgroup, the results demonstrated that the T allele increased the risk of colorectal cancer (CRC) compared with the C allele. (C vs. T: OR, 1.16; 95% CI, 1.01-1.33). : In the current meta-analysis, we found no significant association between polymorphism rs3200401 C > T and overall cancer risk. However, the rs3200401 C > T may be linked to a higher risk of CRC, which needs more studies to be further confirmed.
目前,长链非编码 RNA(lncRNA)转移相关肺腺癌转录本 1()多态性 rs3200401C>T 与癌症风险之间的关联仍存在争议。本荟萃分析旨在评估 rs3200401C>T 与癌症易感性之间的关联。
我们检索了 PubMed、EMBASE 和 Web of Science 等英文数据库,以获取截至 2021 年 9 月 1 日发表的文献。我们采用比值比(ORs)和 95%置信区间(CIs)来评估 5 种遗传模型中的关联强度。采用 Q 检验和 I 检验评估异质性。采用 Begg 漏斗图和 Egger 线性回归检验评估发表偏倚。Meta 回归分析用于探索潜在的异质性来源。采用试验序贯分析(TSA)验证结果的可靠性。
本研究共纳入了 10 项病例对照研究,涉及 6630 例病例和 7457 例对照。汇总的 ORs 表明,rs3200401C>T 与癌症风险在 5 种遗传模型中无显著关联。同样,在对照来源、种族和研究质量亚组中也未发现这种关联。在癌症类型亚组中,结果表明 T 等位基因增加了患结直肠癌(CRC)的风险,与 C 等位基因相比。(C 与 T:OR,1.16;95%CI,1.01-1.33)。
在本荟萃分析中,我们未发现 rs3200401C>T 多态性与总体癌症风险之间存在显著关联。然而,rs3200401C>T 可能与 CRC 的更高风险相关,这需要更多的研究进一步证实。