Department of Obstetrics and Gynecology, University of Debrecen, Debrecen Hungary.
Department of Human Genetics, Faculty of Medicine, University of Debrecen, Debrecen Hungary.
J Biotechnol. 2019 May 20;297:54-57. doi: 10.1016/j.jbiotec.2019.03.016. Epub 2019 Mar 20.
MicroRNAs play an essential role in the regulation of gene expression and tumor development. Single nucleotide polymorphism (SNP) can be observed in miRNAs and could influence gene expression. We aimed to identify miR-146a rs2910164 and miR-196a-2 rs11614913 polymorphisms in ovarian cancer patients and controls. 75 patients and 75 controls were involved. DNA was isolated from blood samples. MiR-146a rs2910164 and miR-196a-2 rs11614913 were determined by LightSnip kit. We used melting curve analysis for allele classification. Network analysis was made to find common target genes. We detected 72.67% G allele frequency of miR-146a rs2910164 in controls and 82.00% in patients group (p = 0,053). GG, GC and CC genotypes occurred with 53.33%, 38.67% and 8.00% among controls, with 65.33%, 33.33% and 1.33% among patients, (p = 0.0917). Allele C of miR-196a-2 rs11614913 occurred in 59.33% of controls and in 67.33% of patients (p = 0.15). CC, CT and TT genotypes occurred with 37.33%, 44.00%, and 18.67% frequency in controls, with 46.67%; 41.33% and 12.00% in patients (p = 0.3815). Network analysis found ATG9A, LBR, MBD4 and RUFY2 genes to be targets for both miRNAs. SNPs of miR-146a and miR-196a-2 showed no significant differences between patients and controls. More investigations are required to clarify the exact role of these SNPs in ovarian cancer.
微小 RNA 在基因表达和肿瘤发生的调控中起着重要作用。单核苷酸多态性（SNP）可在微小 RNA 中观察到，并可能影响基因表达。我们旨在确定卵巢癌患者和对照组中 miR-146a rs2910164 和 miR-196a-2 rs11614913 多态性。共纳入 75 例患者和 75 例对照。从血液样本中提取 DNA。使用 LightSnip 试剂盒测定 miR-146a rs2910164 和 miR-196a-2 rs11614913。我们使用熔解曲线分析进行等位基因分类。进行网络分析以找到常见的靶基因。我们在对照组中检测到 miR-146a rs2910164 的 G 等位基因频率为 72.67%，在患者组中为 82.00%（p=0.053）。在对照组中，GG、GC 和 CC 基因型的发生率分别为 53.33%、38.67%和 8.00%，在患者组中分别为 65.33%、33.33%和 1.33%（p=0.0917）。miR-196a-2 rs11614913 的等位基因 C 在对照组中发生频率为 59.33%，在患者中为 67.33%（p=0.15）。CC、CT 和 TT 基因型在对照组中的发生率分别为 37.33%、44.00%和 18.67%，在患者中分别为 46.67%、41.33%和 12.00%（p=0.3815）。网络分析发现 ATG9A、LBR、MBD4 和 RUFY2 基因是这两种微小 RNA 的共同靶基因。miR-146a 和 miR-196a-2 的 SNP 在患者和对照组之间无显著差异。需要进一步研究以阐明这些 SNP 在卵巢癌中的确切作用。
