Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, Shenyang 110001, China.
Key Laboratory of Cancer Etiology and Prevention in Liaoning Education Department, The First Hospital of China Medical University, Shenyang 110001, China.
Biomed Res Int. 2020 Nov 17;2020:3012193. doi: 10.1155/2020/3012193. eCollection 2020.
() infection is the strongest risk factor for gastric cancer (GC). However, the mechanisms of -associated GC remain to be explored.
The gene expression profiling (GSE111762) data were downloaded from the GEO database. Differentially expressed genes (DEGs) between normal samples (NO) and -atrophic gastritis (GA) or -GA and -GC were identified by GEO2R. Gene Ontology and pathway enrichment analysis were performed using the DAVID database. lncRNA-TF-mRNA and ceRNA regulation networks were constructed using Cytoscape. The cross-networks were obtained by overlapping molecules of the above two networks. GSE27411 and GSE116312 datasets were employed for validation.
DEGs between NO and -GA are linked to the activity of inward rectifying potassium channels, digestion, etc. DEGs between -GA and -GC were associated with digestion, positive regulation of cell proliferation, etc. According to the lncRNA-TF-mRNA network, 63 lncRNAs, 12 TFs, and 209 mRNAs were involved in -GA while 16 lncRNAs, 11 TFs, and 92 mRNAs were contained in the -GC network. In terms of the ceRNA network, 120 mRNAs, 18 miRNAs, and 27 lncRNAs were shown in -GA while 72 mRNAs, 8 miRNAs, and 1 lncRNA were included in the -GC network. In the cross-network, we found that immune regulation and differentiation regulation were important in the process of NO-GA. Neuroendocrine regulation was mainly related to the process of GA-GC. In the end, we verified that CDX2 plays an important role in the pathological process of NO to -GA. Comparing -GA with -GC, DEGs (FPR1, TFF2, GAST, SST, FUT9, and SHH), TF, and GATA5 were of great significance.
We identified the DEGs, and their lncRNA regulatory network of -associated diseases might provide insights into the mechanism between infection and GC. Furthermore, in-depth studies of the molecules might be useful to explore the multistep process of gastric diseases.
幽门螺杆菌()感染是胃癌(GC)最强的危险因素。然而,与相关的 GC 的机制仍有待探索。
从 GEO 数据库中下载基因表达谱(GSE111762)数据。通过 GEO2R 鉴定正常样本(NO)与 -萎缩性胃炎(GA)或 -GA 与 -GC 之间的差异表达基因(DEGs)。使用 DAVID 数据库进行基因本体论和途径富集分析。使用 Cytoscape 构建 lncRNA-TF-mRNA 和 ceRNA 调控网络。通过重叠上述两个网络的分子获得交叉网络。使用 GSE27411 和 GSE116312 数据集进行验证。
NO 与 -GA 之间的 DEGs 与内向整流钾通道活性、消化等有关。-GA 与 -GC 之间的 DEGs 与消化、细胞增殖的正调节等有关。根据 lncRNA-TF-mRNA 网络,有 63 个 lncRNA、12 个 TF 和 209 个 mRNA 参与了 -GA,而在 -GC 网络中包含了 16 个 lncRNA、11 个 TF 和 92 个 mRNA。在 ceRNA 网络中,有 120 个 mRNA、18 个 miRNA 和 27 个 lncRNA 显示在 -GA 中,而在 -GC 网络中包含了 72 个 mRNA、8 个 miRNA 和 1 个 lncRNA。在交叉网络中,我们发现免疫调节和分化调节在 NO-GA 过程中很重要。神经内分泌调节主要与 GA-GC 过程有关。最后,我们验证了 CDX2 在 NO 向 -GA 的病理过程中起着重要作用。比较 -GA 与 -GC,DEGs(FPR1、TFF2、GAST、SST、FUT9 和 SHH)、TF 和 GATA5 具有重要意义。
我们鉴定了与相关疾病相关的 DEGs 及其 lncRNA 调控网络,可能为研究与之间的关系提供了新的思路。此外,对这些分子的深入研究可能有助于探索胃疾病的多步过程。