Ni Peidong, Wang Gang, Wang Yuanhang, Liu Kanghui, Chen Wangwang, Xiao Jian, Fan Hao, Ma Xiang, Li Zengliang, Shen Kuan, Xu Zekuan, Yang Li
Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Department of General Surgery, Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Liyang, Jiangsu, China.
Pathol Res Pract. 2022 May;233:153850. doi: 10.1016/j.prp.2022.153850. Epub 2022 Mar 23.
The most studied genetic polymorphisms associated with gastric cancer (GC) risk are located in protein-coding genes. However, the localization of these in long non-coding RNAs (lncRNAs) has not been fully studied. We aim to investigate the associations of Long non-coding RNA macrophage migration inhibitory factor antisense RNA1(Lnc-MIF-AS1) five polymorphisms (rs755622, rs17004044, rs2070767, rs1007889, rs2000468) with the risk and prognosis of GC.
A total of 844 GC patients and 871 controls were included in the study. Genotyping was carried out using polymerase chain reaction-ligase detection reaction (PCR-LDR) technology. Odds ratios (ORs) and 95% confidence intervals (CIs) generated from unconditional logistic regression, were applied to quantify the effects of MIF-AS1 gene SNPs on GC risk. Log-rank test and Cox regression analysis were fitted to estimate hazard ratios (HRs) to quantify the effects of MIF-AS1 gene SNPs on GC prognosis.
Significant associations were identified between MIF-AS1 rs17004044 variants and GC group in the codominant, dominant and additive models (OR = 2.843, P = 0.010; OR = 1.370, P = 0.004; and OR = 1.386; P = 0.001). In addition, association between rs17004044 variants and survival of GC was extremely observed (TC HR = 2.02 (1.21-3.37) P = 0.007, CC HR = 5.61 (2.12-14.83), P = 0.001).
MIF-AS1 polymorphism rs17004044 contributes to increased predisposition and prognosis to GC.
与胃癌（GC）风险相关的研究最多的基因多态性位于蛋白质编码基因中。然而，这些基因多态性在长链非编码RNA（lncRNA）中的定位尚未得到充分研究。我们旨在研究长链非编码RNA巨噬细胞迁移抑制因子反义RNA1（Lnc-MIF-AS1）的五个多态性（rs755622、rs17004044、rs2070767、rs1007889、rs2000468）与GC风险和预后的关系。
本研究共纳入844例GC患者和871例对照。采用聚合酶链反应-连接酶检测反应（PCR-LDR）技术进行基因分型。应用无条件逻辑回归生成的优势比（OR）和95%置信区间（CI）来量化MIF-AS1基因单核苷酸多态性对GC风险的影响。采用对数秩检验和Cox回归分析来估计风险比（HR），以量化MIF-AS1基因单核苷酸多态性对GC预后的影响。
在共显性、显性和加性模型中，MIF-AS1 rs17004044变异与GC组之间存在显著关联（OR = 2.843，P = 0.010；OR = 1.370，P = 0.004；OR = 1.386；P = 0.001）。此外，还观察到rs17004044变异与GC患者生存率之间存在关联（TC HR = 2.02（1.21 - 3.37），P = 0.007，CC HR = 5.61（2.12 - 14.83），P = 0.001）。
MIF-AS1多态性rs17004044会增加GC的易感性和影响其预后。
