Effect of on the expression of hub genes in the treatment of gastric cancer.

BACKGROUND

The aim of this study was to predict the target genes and pathways of (RA) in the treatment of gastric cancer (GC) by an bioinformatics analysis.

METHODS

The Traditional Chinese Medicine System Pharmacology database was used to obtain the chemical components and target genes of RA. GC-related genes were downloaded from GeneCard website. GO and KEGG enrichment analyses were used to detect the potential mechanisms of RA targets. Hub genes were identified by protein-protein interaction (PPI) network and then verified by quantitative real-time polymerase chain reaction (qRT-PCR) analysis.

RESULTS

Our analyses identified 34 target genes that contribute to the development of GC. GO analysis showed that the biological functions of the target genes mainly included activation of receptors, including the nuclear receptor, steroid hormone receptor, acetylcholine receptor, G-protein coupled serotonin receptor, serotonin receptor and others. According to KEGG analysis, we found that insulin resistance, galactose metabolism, adipocytokine signaling pathway, breast cancer pathway, and cholinergic synapse were the top 5 pathways involving RA target genes. qRT-PCR and immunohistochemical analysis indicated that RA had significant effects on the expression of hub genes, including MYC, CASP3, SP1, MAPK8, PPARG, FOS, and SLC2A1.

CONCLUSIONS

Our study revealed the multi-component, multi-target, and multi-mechanisms of RA on GC, which suggest novel therapeutics for GC.