Objective: Gastric cancer is one of the most common malignant tumors.In recent years,the incidence of gastric cancer in China has increased and tends to increase.Be younger.At present,the etiology of gastric cancer has not been fully elucidated,the onset is hidden,and there is no obvious symptoms in the early stage,so it is easy to miss diagnosis.There are many difficulties in the prevention and treatment of gastric cancer.Many patients with gastric cancer are in advanced stage and difficult to treat.The mortality rate is very high.Therefore,how to early detect and diagnose gastric cancer has become an important issue in the prevention and treatment of gastric cancer.Bioinformatics can extract massive data from genome and proteome related databases,so as to systematically and comprehensively reveal the law of tumorigenesis and development.In this study,bioinformatics analysis of gastric cancer markers and their regulatory pathways was used to provide new methods and ideas for improving the diagnostic rate of gastric cancer.METHODS: Firstly,several non-coding single-stranded RNA chips of the same platform were screened from the GEO database.Thermal maps and volcanic maps were made by Mev and other software.The differentially expressed genes were identified by GEO2 R.At the same time,the most significant differentially expressed non-coding single-stranded RNA was found to be microRNA-181b-5p.Next,the target genes of differential non-coding single-stranded RNA are predicted by using the two databases of miRDB and Targetscan.At the same time,the intersection of the two databases is taken to make a Venn map,and the final predicted target genes are obtained.Secondly,GO enrichment analysis and functional annotation of target genes were carried out by DAVID online software.KEGG enrichment analysis and functional annotation of target genes were carried out by KOBAS online software to understand the main functions and pathways of target genes.Finally,four upstream transcription factors of differentially non-coding single stranded RNA were identified by Transmir software,and the important role of transcription factors in the occurrence and development of gastric malignant tumors was found through literature.CONCLUSION: There are eight differentially expressed non-coding single-stranded RNAs: hsa-miR-181 d,hsa-miR-4481,hsa-miR-574-3p,hsa-miR-623,hsa-miR-4701-3p,hsa-miR-1587,hsa-miR-197-3p and hsa-miRNA-181b-5p.The most significant difference among them is hsa-miR NA-181b-5p.By predicting the target gene of microRNA-181b-5p,828 genes were obtained,of which TGFBR1/TGFBR2 played an important role in the occurrence and development of gastric cancer through GO enrichment analysis and KEGG enrichment analysis.By searching for the transcription factors of microRNA181b-5p,ETS1,EZH2,NF-Y and STAT3,we found that EZH2 is closely related to the occurrence and development of gastric cancer through HPA database and literature review.Results: A series of bioinformatics analysis predicted that the mechanism of hsa-microRNA-181b-5p in the diagnosis of gastric cancer might be that it could lead to gastric cancer through E2HE-miRNA-181b-5p-TGFBR1/TGFBR2 pathway,which provided a basis for hsa-microNA-181b-5p as a possible marker for the diagnosis of gastric cancer,and provided a new idea and method for improving the diagnostic rate of gastric cancer.At the same time,it provides some ideas and methods for predicting the prognosis of gastric cancer. |