Year: 2024
Type: other
Abstract: Objective: To explore the potential role and mechanism of compound tetramethylpyrazine in gastric cancer therapy by using network pharmacology analysis combined with gene function annotation and clinical data analysis. Methods: SwissTargetPrediction database was used to screen the potential drug action sites of compound tetramethylpyrazine, and the OMIM and Genecard databases were used in combination to obtain gastric cancer-related targets. Intersection analysis was performed to identify potential therapeutic targets. Subsequently, the method of ClusterProfiler was used to perform functional annotation of the downstream targets of intersection. In addition, The Cancer Genome Atlas (TCGA) database was used to obtain the original data of gastric cancer patients, and the immune infiltration analysis, miRNA analysis, transcriptional regulation analysis of key genes, gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), nomogram model construction, and genome-wide association studies (GWAS) were performed. Results: might influence the development of gastric cancer through multiple signaling pathways. Conclusion: , as well as the relevant signaling pathways.
Source: PubMed
DOI: 10.12182/20240960503
Authors: Wei Xu, Zhaomin Deng, Xin Wang, Hao Jiang
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4404162864