Zou Dehua, Yin Jingwen, Ye Zhonglv, Zeng Qiaoli, Tian Chuan, Wang Yajun, Chen Qikang, Chen Riling
Maternal and Child Research Institute, Shunde Women and Children's Hospital, Guangdong Medical University, Foshan, China.
Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Front Genet. 2020 Oct 2;11:886. doi: 10.3389/fgene.2020.00886. eCollection 2020.
has been demonstrated to be involved in normal hematopoiesis and the pathogenesis of many hematological malignancies by inhibiting the expression of its targets. Rs2910164(G>C) may modify the expression of the gene, which might influence an individual's predisposition to childhood acute lymphoblastic leukemia (ALL). However, inconsistent findings have been reported on the association between the rs2910164(G>C) polymorphism and the risk of childhood ALL. A comprehensive meta-analysis was performed to accurately estimate the association between the rs2910164 polymorphism and childhood ALL among four different genetic models. This meta-analysis included Asian studies with a total of 1,543 patients and 1,816 controls. We observed a significant difference between patients and controls for the additive model (CC vs. GG: OR = 1.598, 95% CI: 1.003-2.545, = 0.049) using a random effects model. Meanwhile, there was a trend of increased childhood ALL risk in the dominant model (CC + CG vs. GG: OR = 1.501, 95% CI: 0.976-2.307, = 0.065), recessive model (CC vs. GG + CG: OR = 1.142, 95% CI: 0.946-1.380, = 0.168) and allele model (C vs. G: OR = 1.217, 95% CI: 0.987-1.500, = 0.066) between patients and controls. Our findings suggest that the rs2910164 CC genotype was significantly associated with childhood ALL susceptibility.
通过抑制其靶标的表达，已证明其参与正常造血以及许多血液系统恶性肿瘤的发病机制。Rs2910164（G>C）可能会改变该基因的表达，这可能会影响个体患儿童急性淋巴细胞白血病（ALL）的易感性。然而，关于rs2910164（G>C）多态性与儿童ALL风险之间的关联，已有不一致的研究结果报道。进行了一项全面的荟萃分析，以准确估计rs2910164多态性与四种不同遗传模型下儿童ALL之间的关联。该荟萃分析纳入了亚洲的研究，共有1543例患者和1816例对照。使用随机效应模型，我们观察到在加性模型中患者与对照之间存在显著差异（CC与GG：OR = 1.598，95%CI：1.003 - 2.545，P = 0.049）。同时，在显性模型（CC + CG与GG：OR = 1.501，95%CI：0.976 - 2.307，P = 0.065）、隐性模型（CC与GG + CG：OR = 1.142，95%CI：0.946 - 1.380，P = 0.168）和等位基因模型（C与G：OR =
