Correlation of MIF-AS1 polymorphisms with the risk and prognosis of gastric cancer.

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. Copyright © 2022 Elsevier GmbH. All rights reserved.

Citation

Peidong Ni, Gang Wang, Yuanhang Wang, Kanghui Liu, Wangwang Chen, Jian Xiao, Hao Fan, Xiang Ma, Zengliang Li, Kuan Shen, Zekuan Xu, Li Yang. Correlation of MIF-AS1 polymorphisms with the risk and prognosis of gastric cancer. Pathology, research and practice. 2022 May;233:153850

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PMID: 35367937

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