College of Life Science, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Department of Gastrointestinal Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Biomed Res Int. 2021 Nov 18;2021:9121478. doi: 10.1155/2021/9121478. eCollection 2021.
Gastric cancer (GC), as an epidemic cancer worldwide, has more than 1 million new cases and an estimated 769,000 deaths worldwide in 2020, ranking fifth and fourth in global morbidity and mortality. In mammals, both miRNAs and transcription factors (TFs) play a partial role in gene expression regulation. The mRNA expression profile and miRNA expression profile of GEO database were screened by GEO2R for differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs). Then, DAVID annotated the functions of DEGs to understand the functions played in biological processes. The prediction of potential target genes of miRNA and key TFs of mRNA was performed by mipathDB V2.0 and CHEA3, respectively, and the gene list comparison was performed to look for overlapping genes coregulated by key TFs and DEMs. Finally, the obtained miRNAs, TF, and overlapping genes were used to construct the miRNA-mRNA-TF regulatory network, which was verified by RT-qPCR. 76 upregulated DEGs, 199 downregulated DEGs, and 3 upregulated miRNAs (miR-199a-3p/miR-199b-3p, miR-125b-5p, and miR-199a-5p) were identified from the expression profiles of mRNA (GSE26899, GSE29998, GSE51575, and GSE13911) and miRNA (GSE93415), respectively. Through database prediction and gene list comparison, it was found that among the 199 downregulated DEGs, 61, 71, and 69 genes were the potential targets of miR-199a-3p/miR-199b-3p, miR-125b-5p, and miR-199a-5p, respectively. 199 downregulated DEGs were used as the gene list for the prediction of key TFs, and the results showed that RFX6 ranked the highest. The potential target overlap genes of miR-199a-3p/miR-199b-3p, miR-125b-5p, and miR-199a-5p were 4 genes (SH3GL2, ATP4B, CTSE, and SORBS2), 7 genes (SLC7A8, RNASE4, ESRRG, PGC, MUC6, Fam3B, and FMO5), and 6 genes (CHGA, PDK4, TMPRSS2, CLIC6, GPX3, and PSCA), respectively. Finally, we constructed a miRNA-mRNA-TF regulatory network based on the above 17 mRNAs, 3 miRNAs, and 1 TF and verified by RT-qPCR and western blot results that the expression of RFX6 was downregulated in GC tissues. These identified miRNAs, mRNAs, and TF have a certain reference value for further exploration of the regulatory mechanism of GC.
胃癌(GC)作为一种全球流行的癌症,在 2020 年全球有超过 100 万新发病例和估计 76.9 万例死亡,在全球发病率和死亡率中分别排名第五和第四。在哺乳动物中,miRNAs 和转录因子(TFs)都在基因表达调控中发挥部分作用。通过 GEO2R 在 GEO 数据库中筛选 mRNA 的 mRNA 表达谱和 miRNA 表达谱,筛选差异表达基因(DEGs)和差异表达 miRNA(DEMs)。然后,DAVID 对 DEGs 的功能进行注释,以了解它们在生物过程中所发挥的功能。通过 mipathDB V2.0 和 CHEA3 分别对 miRNA 的潜在靶基因和 mRNA 的关键 TF 进行预测,并对基因列表进行比较,寻找关键 TF 和 DEMs 共同调控的重叠基因。最后,将获得的 miRNAs、TF 和重叠基因用于构建 miRNA-mRNA-TF 调控网络,并通过 RT-qPCR 进行验证。从 mRNA(GSE26899、GSE29998、GSE51575 和 GSE13911)和 miRNA(GSE93415)的表达谱中分别鉴定出 76 个上调的 DEGs、199 个下调的 DEGs 和 3 个上调的 miRNAs(miR-199a-3p/miR-199b-3p、miR-125b-5p 和 miR-199a-5p)。通过数据库预测和基因列表比较,发现在 199 个下调的 DEGs 中,miR-199a-3p/miR-199b-3p、miR-125b-5p 和 miR-199a-5p 的潜在靶基因分别为 61、71 和 69 个。将 199 个下调的 DEGs 作为关键 TF 预测的基因列表,结果表明 RFX6 排名最高。miR-199a-3p/miR-199b-3p、miR-125b-5p 和 miR-199a-5p 的潜在靶重叠基因分别为 4 个(SH3GL2、ATP4B、CTSE 和 SORBS2)、7 个(SLC7A8、RNASE4、ESRRG、PGC、MUC6、Fam3B 和 FMO5)和 6 个(CHGA、PDK4、TMPRSS2、CLIC6、GPX3 和 PSCA)。最后,我们基于上述 17 个 mRNA、3 个 miRNA 和 1 个 TF 构建了 miRNA-mRNA-TF 调控网络,并通过 RT-qPCR 和 western blot 结果验证了 RFX6 在 GC 组织中的表达下调。这些鉴定出的 miRNAs、mRNAs 和 TF 对进一步探索 GC 的调控机制具有一定的参考价值。