Bioinformatics Analysis of the Transformation from Chronic Atrophic Gastritis to Gastric Cancer and Prediction of Traditional Chinese Medicine

Abstract

Abstract: Objective To search the differentially expressed genes between chronic atrophic gastritis and gastric cancer, explore the molecular mechanism of gastric cancer transformation, and explore the potential therapeutic effects of traditional Chinese medicine and active components of traditional Chinese medicine. Methods The GSE116312 gene chip dataset was downloaded from the GEO database, and the differentially expressed genes were obtained. The GO and KEGG pathways were enriched through the Metascape database. The String database was used to construct the differentially expressed gene-protein interaction network to identify key genes, and to analyze the prognosis and immunity of key genes. The Coremine database and the CTD database were used to obtain Chinese herbal medicines and active ingredients with potential therapeutic effects, respectively. Results A total of 129 significantly differentially expressed genes were obtained, of which 105 were up-regulated and 29 were down-regulated. Biological processes mainly include digestion, hormone regulation, response to bacteria, organ or tissue specific immune response, response to heterogeneous stimuli, etc. They are enriched in protein digestion and absorption, cancer transcriptional disorder, gastric acid secretion, fructose and mannose metabolism, fat digestion and absorption and other pathways. MMP3, CTGF, THBS1, SPP1, IL6, CXCL8, END1, BGN, THBS2, and MUC6 are key genes in the transformation of chronic atrophic gastritis to gastric cancer. There is a high correlation between key genes and immune cell infiltration. The survival rate of patients with high expression of MUC6 and THBS1 is significantly lower than that of patients with low expression, and the survival rate of patients with high expression of MMP3 and CTGF is higher than that of patients with low expression. The potential therapeutic traditional Chinese medicines such as ginseng, panax notoginseng, herba artemisiae, magnolia officinalis, poria cocos, salvia miltiorrhiza, hedyotis diffusa, lycium barbarum were discovered, and the potential targeted active ingredients of traditional Chinese medicines such as resveratrol, quercetin, paclitaxel, andrographolide for treating gastric cancer were screened. Conclusion The core differentially expressed genes and pathways of chronic atrophic gastritis and gastric cancer discovered in this study provide a reference for subsequent basic experiments and clinical research, and provide ideas for the use of traditional Chinese medicine to block the transformation of inflammation and cancer.

Key words: chronic atrophic gastritis, gastric cancer, bioinformatics, differential genes, traditional Chinese medicine

CLC Number:

R573.3

SUN Qi-fang, TAN Mei-ling, YUAN Cheng-zhi, ZHOU Sai-nan, ZENG Mei-yan, SONG Hou-pan. Bioinformatics Analysis of the Transformation from Chronic Atrophic Gastritis to Gastric Cancer and Prediction of Traditional Chinese Medicine[J]. ZHONGHUA YANGSHENG BAOJIAN, 2023, 41(19): 69-75.

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