蛋白激酶B
PI3K/AKT/mTOR通路
细胞凋亡
细胞生长
癌症研究
MAPK/ERK通路
细胞迁移
蒲公英
信号转导
细胞
细胞生物学
生物
化学
医学
生物化学
病理
中医药
替代医学
作者
Xiaofang Duan,Limin Pan,Yuying Deng,Ya Liu,Xue Han,Fu Han,Yuxi Li,Ming Li,Tianxiao Wang
出处
期刊:Food & Function
[The Royal Society of Chemistry]
日期:2021-01-01
卷期号:12 (19): 9486-9502
被引量:8
摘要
Dandelion, a medicinal and edible plant, exhibits anti-inflammatory activity. The purpose of the present study was to investigate the inhibitory effectiveness of the aqueous dandelion root extract (DRE) on esophageal squamous cell carcinoma (ESCC). The in vitro cell proliferation, migration, invasion and apoptosis and the in vivo tumor growth were evaluated. The effects of DRE on PI3K/Akt and Ras/Raf/ERK pathways, which are important signaling pathways related to the development and progression of esophageal squamous cell carcinoma, were studied. The effects of DRE on the expression of apoptosis-related proteins BCL2 and BAX were also investigated. Meanwhile, the role of a cystathionine-β-synthase (CBS)/H2S system in ESCC cells and the effects of DRE on the CBS/H2S system were assessed. The results showed that DRE selectively inhibited cell growth, proliferation, migration and invasion and induced cell apoptosis in ESCC cells. Moreover, the oral administration of DRE retarded the growth of tumors in human ESCC xenograft models. The DRE treatment led to a dose-dependent reduction in the levels of PI3K, p-Akt, Ras, Raf and pERK1/2 proteins in ESCC cells. DRE also caused a decrease in the anti-apoptotic protein BCL2 and an increase in the pro-apoptotic protein BAX. The data also showed that the CBS/H2S system implicated in the process of ESCC and DRE inhibited the CBS/H2S system. Moreover, the CBS knockdown weakened the cancer cell-inhibiting effectiveness of DRE. Therefore, DRE may affect ESCC progression through the regulation of PI3K/Akt and Ras/Raf/ERK signal pathways as well as the endogenous CBS/H2S system, and consequently, serve as an effective anti-cancer alternative for human ESCC treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI