Geniposide Inhibits Oral Squamous Cell Carcinoma by Regulating PI3K-Akt Signaling-Mediated Apoptosis: A Multi-Method Validation Study

京尼平苷通过调节PI3K-Akt信号通路介导的细胞凋亡抑制口腔鳞状细胞癌:一项多方法验证研究

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作者:Xue Wang ,Jianbo Wang ,Hua Hua ,Ping Wei ,Xue Chen ,Yusheng Peng ,Li Liu ,Dongmei Yu ,Xiaozhou You ,Siye Yang

Abstract

Gardenia jasminoides J.Ellis is an important medicinal and edible resource. The fruit of Gardenia jasminoides J.Ellis contains a natural iridoid called geniposide, which has the ability to dramatically suppress the growth of a number of cancer cell lines. This work examined the impact and potential mechanism of action of geniposide on oral squamous cell carcinoma using network pharmacology, molecular docking, molecular dynamics simulation, and cellular experiments. Based on network pharmacology, 145 potential targets of geniposide in the treatment of OSCC were found. The top five core targets were selected according to the degree values of the nodes, AKT1, EGFR, SRC, HSP90AA1, and PIK3R1, which involved signaling pathways and biological processes, such as the PI3K-Akt signaling pathway, pathways in cancer, phosphorylation, and the regulation of the apoptotic process. Molecular docking showed that geniposide exhibited good binding ability with the core targets AKT1 and EGFR. Molecular dynamics simulations further confirmed the stability of the binding between geniposide and the targets. The results of cell experiments showed that the activity of HSC-3 cells was dose-dependently inhibited by geniposide, and AO/EB staining showed that geniposide was able to induce programmed apoptosis. Meanwhile, it was found that the expressions of p-EGFR, p-AKT, and Bcl-2 were downregulated in HSC-3, and the expressions of PTEN, Bax, and Caspase-3 were upregulated. Geniposide may inhibit OSCC by affecting the PI3K-Akt signaling pathway and apoptotic process by regulating the expressions of p-EGFR, p-AKT, Bcl-2, Bax, Caspase-3, and PTEN. Keywords: OSCC; PI3K-Akt signaling pathway; apoptosis; geniposide; molecular docking; molecular dynamics simulation; network pharmacology.

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