CCNE1 is a potential target of Metformin for tumor suppression of ovarian high-grade serous carcinoma

被引:4
作者
Mei, Jie [1 ,2 ,3 ,4 ,5 ]
Tian, Huixiang [1 ,6 ,7 ]
Huang, Hsuan-Shun [8 ]
Wu, Nayiyuan [5 ]
Liou, Yu-Ligh [1 ]
Chu, Tang-Yuan [8 ]
Wang, Jing [5 ]
Zhang, Wei [1 ,2 ,3 ,4 ]
机构
[1] Cent South Univ, Xiangya Hosp, Dept Clin Pharmacol, Changsha 410078, Peoples R China
[2] Cent South Univ, Inst Clin Pharmacol, Hunan Key Lab Pharmacogenet, Changsha, Peoples R China
[3] Minist Educ, Engn Res Ctr Appl Technol Pharmacogen, Changsha, Peoples R China
[4] Natl Clin Res Ctr Geriatr Disorders, Changsha, Hunan, Peoples R China
[5] Cent South Univ, Hunan Canc Hosp, Affiliated Canc Hosp, Xiangya Sch Med, Changsha 410078, Peoples R China
[6] Guangdong Acad Sci, Inst Microbiol, Guangdong Prov Key Lab Microbial Safety & Hlth, State Key Lab Appl Microbiol Southern China, Guangzhou, Peoples R China
[7] South China Univ Technol, Sch Biol & Biol Engn, Guangzhou, Peoples R China
[8] Buddhist Tzu Chi Gen Hosp, Ctr Prevent & Therapy Gynecol Canc, Dept Res, Hualien, Taiwan
基金
中国国家自然科学基金;
关键词
High-Grade serous ovarian cancer; Metformin; CCNE1; MOE; POOR SURVIVAL; CANCER; P53; KINASE; MECHANISMS; EXPRESSION; INITIATION; PRECURSOR; FIMBRIA; CELLS;
D O I
10.1080/15384101.2022.2109362
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
High-grade serous ovarian cancer (HGSOC) is the most common and malignant type of ovarian cancer, accounting for 70%-80% of mortality. However, the treatment of HGSOC has improved little in the past few decades. Metformin is the first-line medication for the treatment of type 2 diabetes and has now gained more attention in cancer treatment. In this study, we sought to identify potential hub genes that metformin could target in the treatment of HGSOC. We downloaded GSE69428 and GSE69429 in the Gene Expression Omnibus database and performed the bioinformatics analysis. Subsequently, we analyzed the effect of Metformin in HGSOC through biological experiments. Molecular simulation docking was used to predict the interaction of Metformin and CCNE1. We chose CCNE1 for the study based on bioinformatics analysis, literature studies, and preliminary data. We evaluated that CCNE1 is overexpressed in HGSOC tissues and found that HGSOC cells with high CCNE1 expression increase sensitivity to Metformin treatment in the analysis of cell proliferation and anchorage-independent growth. Metformin could inhibit the expression of CCNE1, which is associated with the anti-proliferative effect of tumor cells. Moreover, Metformin could ameliorate the tumor growth in syngeneic orthotopic transplantation mouse models and xenograft tumorigenesis models. Furthermore, molecular simulation docking showed that Metformin may bind to CCNE1 protein, suggesting that CCNE1 could be a potential target for Metformin. Our data revealed that Metformin has antitumor effects on ovarian cancer and CCNE1 could be a potential target for Metformin.
引用
收藏
页码:85 / 99
页数:15
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