Ontology highlight
ABSTRACT:
Methods: The gene expression profiling (GSE111762) data were downloaded from the GEO database. Differentially expressed genes (DEGs) between normal samples (NO) and Hp-atrophic gastritis (GA) or Hp-GA and Hp-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.
Results: DEGs between NO and Hp-GA are linked to the activity of inward rectifying potassium channels, digestion, etc. DEGs between Hp-GA and Hp-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 Hp-GA while 16 lncRNAs, 11 TFs, and 92 mRNAs were contained in the Hp-GC network. In terms of the ceRNA network, 120 mRNAs, 18 miRNAs, and 27 lncRNAs were shown in Hp-GA while 72 mRNAs, 8 miRNAs, and 1 lncRNA were included in the Hp-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 Hp-GA. Comparing Hp-GA with Hp-GC, DEGs (FPR1, TFF2, GAST, SST, FUT9, and SHH), TF, and GATA5 were of great significance.
Conclusions: We identified the DEGs, and their lncRNA regulatory network of Hp-associated diseases might provide insights into the mechanism between Hp infection and GC. Furthermore, in-depth studies of the molecules might be useful to explore the multistep process of gastric diseases.
SUBMITTER: Liu S
PROVIDER: S-EPMC7686847 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Liu Songyi S Yin Honghao H Zheng Shuwen S Chu Aining A Li Yizhi Y Xing Chengzhong C Yuan Yuan Y Gong Yuehua Y
BioMed research international 20201117
<h4>Background</h4><i>Helicobacter pylori</i> (<i>Hp</i>) infection is the strongest risk factor for gastric cancer (GC). However, the mechanisms of <i>Hp</i>-associated GC remain to be explored.<h4>Methods</h4>The gene expression profiling (GSE111762) data were downloaded from the GEO database. Differentially expressed genes (DEGs) between normal samples (NO) and <i>Hp</i>-atrophic gastritis (GA) or <i>Hp</i>-GA and <i>Hp</i>-GC were identified by GEO2R. Gene Ontology and pathway enrichment ana ...[more]