Network pharmacology and in vitro experiments to investigate the anti-gastric cancer effects of paeoniflorin through the RAS/MAPK signaling pathway

The aim of this study was to investigate the key targets and signaling pathways of paeoniflorin (PF) for the treatment of gastric cancer (GC). First, the differentially expressed genes (DEGs) of gastric cancer were obtained by analyzing GSE118916 Gene Chip, and then the active components of paeoniflorin and their targets of action were found. And the intersection genes of the two were analyzed for target and pathway analysis. In addition, cell viability after PF intervention was detected by CCK-8. Clone formation assay, wound scratch assay, transwell assay were used to detect cell migration and invasion. The qRT-PCR and Western blot methods were used to verify the mechanism of action. The results showed that a total of 286 paeoniflorin targets and 1799 DEGs were obtained. Secondly, we found that PF could treat gastric cancer through RAS/MAPK signaling pathway. In addition, through in vitro cellular experiments, we also found that PF had a significant therapeutic effect on gastric cancer. Therefore, we believe that PF inhibits the proliferation and metastasis of gastric cancer, and its effect may be exerted by regulating the RAS/MAPK signaling pathway. PF is a promising drug for the treatment of gastric cancer. Combined with the in vitro experiments, we found that the therapeutic effect of PF is related to the regulation of the RAS/MAPK signaling pathway, and the results of the present study preliminarily revealed its complex mechanism, which will lay the foundation for future clinical treatment.

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Publication Details

Journal
Discover Oncology
Published
2024-11-15
DOI
https://doi.org/10.1007/s12672-024-01532-w
Citations
2
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
1.43

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article

Network pharmacology and in vitro experiments to investigate the anti-gastric cancer effects of paeoniflorin through the RAS/MAPK signaling pathway

Ling Yuan, Mengyi Ye, Jianjun Zhao, Doudou Lu et al.
2 citations
Discover Oncology
Traditional Chinese Medicine Analysis
1.43
article

Network pharmacology and in vitro experiments to investigate the anti-gastric cancer effects of paeoniflorin through the RAS/MAPK signaling pathway

Ling Yuan, Mengyi Ye, Jianjun Zhao, Doudou Lu, Joanna Japhet Tibenda, Fandi Meng, Yi Nan, Yating Yang, Shicong Huang, Yuhua Du
article en
2 citations

Abstract

The aim of this study was to investigate the key targets and signaling pathways of paeoniflorin (PF) for the treatment of gastric cancer (GC). First, the differentially expressed genes (DEGs) of gastric cancer were obtained by analyzing GSE118916 Gene Chip, and then the active components of paeoniflorin and their targets of action were found. And the intersection genes of the two were analyzed for target and pathway analysis. In addition, cell viability after PF intervention was detected by CCK-8. Clone formation assay, wound scratch assay, transwell assay were used to detect cell migration and invasion. The qRT-PCR and Western blot methods were used to verify the mechanism of action. The results showed that a total of 286 paeoniflorin targets and 1799 DEGs were obtained. Secondly, we found that PF could treat gastric cancer through RAS/MAPK signaling pathway. In addition, through in vitro cellular experiments, we also found that PF had a significant therapeutic effect on gastric cancer. Therefore, we believe that PF inhibits the proliferation and metastasis of gastric cancer, and its effect may be exerted by regulating the RAS/MAPK signaling pathway. PF is a promising drug for the treatment of gastric cancer. Combined with the in vitro experiments, we found that the therapeutic effect of PF is related to the regulation of the RAS/MAPK signaling pathway, and the results of the present study preliminarily revealed its complex mechanism, which will lay the foundation for future clinical treatment.

Discover OncologyVol. 15(1)
Ningxia Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Ningxia Province
Good health and well-being
Openalex Percentile: Top 15%
Traditional Chinese Medicine Analysis
1.43
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