Analysis and Prediction of Significant Genes in Gastric Cancer Based on TCGA Database.
OBJECTIVE
Use TCGA data to screen the significantly expressed genes in gastric cancer,then analyze the biological functions of characteristic genes.To identify potential targets for the diagnosis, prognosis and therapeutic monitoring of gastric cancer.


METHODS
Download the high-throughput gastric cancer patient tissue mRNA expression data from the TCGA database, and used the edgeR software package to perform gene differences using the Rstudio software according to the |logFC|>1 and p<0.05 standards analysis, then performed enrichment analysis and constructed protein interaction network of the differently expressed genes to find the significant genes.Finally,analyzed the relationship between significant genes and gastric cancer patient prognosis.


RESULTS
The RNA-seq expression data of 375 cases of gastric cancer and 32 adjacent tissues were obtained from the TCGA database. The differential analysis yielded 4320 differential genes, of which 2718 were highly expressed and 1602 were low expressed. Through enrichment analysis, it is found that the differential genes are mainly related to the neural active ligand-receptor interaction, calcium signaling pathway, Protein digestion and absorption, chemical carcinogenesis, and cytochrome P450 metabolism of foreign compounds. Further survival analysis screened out the five significant genes of ALB, AFP, IGFBP1, APOH, and TF are related to the prognosis of gastric cancer.


CONCLUSION
The five significant genes screened by TCGA data may be related to the prognosis of gastric cancer and are expected to become prognostic biomarkers.