Yan Minchao, Jin Qin, Zhou Yan, Mo Shuping, Tang Lun, Zhang Gang, Fu Qinyan, Zeng Hui
Department of Hematology, The Affiliated Hospital of Jiaxing University, Jiaxing City, Zhejiang Province, 314000, China.
Department of Hematology, The Affiliated Hospital of Jiaxing University, No. 1882 Zhonghuan South Road, Jiaxing City, Zhejiang Province, 314000, China.
BMC Cancer. 2025 Apr 1;25(1):584. doi: 10.1186/s12885-025-13434-3.
We performed this meta-analysis to investigate the potential relationship between the polymorphism of the rs5743836 gene of toll-like receptors 9 (TLR9) and the risk of lymphoma.
Statistical analysis of all data was performed using Stata 15.0. Heterogeneity tests for all selected studies were performed using the Chi-square-based Q test (P < 0.05 suggesting heterogeneity) and the I-square test, and the pooled odds ratios (ORs) were calculated. Sensitivity analysis was also performed to evaluate the stability of the pooled results by funnel plot. Begg's regression test was also performed for possible publication bias in three genetic models.
We found that the TLR9 gene rs5743836 was significantly associated with the risk of lymphoma in the dominant genetic model (OR = 1.54, 95%CI = 1.03-2.32, P = 0.036). However, we found that the TLR9 gene rs5743836 was not significantly associated with lymphoma risk in the recessive genetic model (OR = 1.04, 95%CI = 0.65-1.65, P = 0.873) and the allele genetic model (OR = 1.28, 95%CI = 0.93-1.76, P = 0.130). We also performed a sensitivity analysis by removing each eligible study, we found that there was no significant change in the merging effect and pooled ORs, which indicates good stability of the results of this study. Publication bias was tested using Begg's funnel plot, and the results suggested that no publication bias was observed in dominant genetic models (TC + CC vs. TT, P = 0.3486), recessive genetic models (CC vs. TC + TT, P = 0.829), and allelic genetic model (C vs. T, P = 0.463).
In conclusion, the results of this meta-analysis indicated that the TLR9 gene rs5743836 was significantly associated with lymphoma risk in the dominant genetic model.
我们进行这项荟萃分析以研究Toll样受体9(TLR9)的rs5743836基因多态性与淋巴瘤风险之间的潜在关系。
使用Stata 15.0对所有数据进行统计分析。对所有选定研究进行异质性检验,采用基于卡方的Q检验(P < 0.05表明存在异质性)和I²检验,并计算合并比值比(OR)。还进行了敏感性分析,通过漏斗图评估合并结果的稳定性。对三种遗传模型中可能的发表偏倚也进行了Begg回归检验。
我们发现,在显性遗传模型中,TLR9基因rs5743836与淋巴瘤风险显著相关(OR = 1.54,95%CI = 1.03 - 2.32,P = 0.036)。然而,我们发现,在隐性遗传模型(OR = 1.04,95%CI = 0.65 - 1.65,P = 0.873)和等位基因遗传模型(OR = 1.28,95%CI = 0.93 - 1.76,P = 0.130)中,TLR9基因rs5743836与淋巴瘤风险无显著关联。我们还通过剔除每项符合条件的研究进行了敏感性分析,发现合并效应和合并OR无显著变化,这表明本研究结果具有良好的稳定性。使用Begg漏斗图检验发表偏倚,结果表明在显性遗传模型(TC + CC vs. TT,P = 0.3486)、隐性遗传模型(CC vs. TC + TT,P = (此处原文有误,应为0.829))和等位基因遗传模型(C vs. T,P = 0.463)中均未观察到发表偏倚。
总之,这项荟萃分析的结果表明,在显性遗传模型中,TLR9基因rs5743836与淋巴瘤风险显著相关。