Integrated transcriptomic and proteomic analysis reveals Guizhi-Fuling Wan inhibiting STAT3-EMT in ovarian cancer progression

综合转录组学和蛋白质组学分析揭示桂枝茯苓丸抑制卵巢癌进展中的 STAT3-EMT

阅读:4
作者:Qihong Ma, Fangfang Chen, Ying Liu, Kang Wu, Zixuan Bu, Chentao Qiu, Nouri Neamati, Tiangong Lu

Background

Ovarian cancer (OC) is the most lethal gynecological malignancy. Frequent peritoneal dissemination is the main cause of low survival rate. Guizhi-Fuling Wan (GZFL) is a classical traditional Chinese herbal formula that has been clinically used for treating ovarian cancer with good outcome. However, its therapeutic mechanism for treating OC has not been clearly elucidated.

Conclusion

Our study provides the first evidence that GZFL inhibits OC progression through suppressing STAT3-EMT signaling. These results will further support its potential clinical use in OC.

Methods

In vivo efficacy of GZFL was assessed using an OC xenograft mouse model. Proteomics analysis in OC cells and RNA-seq analysis in mice tumors were performed to fully capture the translational and transcriptional signature of GZFL. Effects of GZFL on proliferation, spheroid formation and reactive oxygen species (ROS) were assessed using wildtype and STAT3 knockout OC cells in vitro. STAT3 activation and transcription activity, hypoxia and EMT-related protein expression were assessed to validate the biological activity of GZFL.

Purpose

We aim to elucidate the potential mechanisms of GZFL in treating OC with a focus on STAT3 signaling pathway.

Results

GZFL suppresses tumor growth with a safety profile in mice, while prevents cell growth, spheroid formation and accumulates ROS in a STAT3-dependent manner in vitro. GZFL transcriptionally and translationally affects genes involved in inflammatory signaling, EMT, cell migration, and cellular hypoxic stress response. In depth molecular study confirmed that GZFL-induced cytotoxicity and EMT suppression in OC cells are directly corelated to inhibition of STAT3 activation and transcription activity.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。