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

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Abstract

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

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Ma, Q., Chen, F., Liu, Y., Wu, K., Bu, Z., Qiu, C., … Lu, T. (2024). Integrated transcriptomic and proteomic analysis reveals Guizhi-Fuling Wan inhibiting STAT3-EMT in ovarian cancer progression. Biomedicine and Pharmacotherapy, 170. https://doi.org/10.1016/j.biopha.2023.116016

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