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Background    Helicobacter pylori  ( H. pylori ) is a common human pathogen, which is closely correlated with gastric cancer (GC). However, the mechanism of  H. pylori -related GC has not been elucidated. This study aimed to explore the role of  H. pylori  infection in GC and find biomarkers for early diagnosis of  H. pylori -related GC.Methods   We identified differentially expressed microRNAs (DEMs) and genes (DEGs) from the Gene Expression Omnibus (GEO) dataset, constructed microRNA-(miRNA-)mRNA expression networks, analyzed the function and signal pathway of cross-genes, analyzed the relations between cross-genes and GC prognosis with the Cancer Genome Atlas (TCGA) data, and verified the expression of cross-genes in patients with  H. pylor i infection.Results   22 DEMs and 68 DEGs were identified in GSE197694 and GSE27411 dataset. 16 miRNAs and 509 genes were involved in the expression network, while the cross-genes of the network were mainly enriched in MAP kinase (MAPK) signaling pathway and TGF-beta signaling pathway. Patients with higher expression of hsa-miR-196b-3p, CALML4, or SMAD6 or lower expression of PITX2 or TGFB2 had better outcomes than those with lower expression of hsa-miR-196b-3p, CALML4, or SMAD6 or higher expression of PITX2 or TGFB2 ( P  < 0.05). Patients with  H. pylori  infection had a higher expression of hsa-miR-196b-3p and CALML4 than those without  H. pylori  infection ( P  < 0.05).Conclusion   The study of miRNA-mRNA expression network would provide molecular support for early diagnosis and treatment of  H. pylori -related GC.

Construction and Investigation of MicroRNA-mRNA Regulatory Network of Gastric Cancer with Helicobacter pylori Infection