Effects of Metformin Treatment Against Endometrial Cancer Cells Cultured In Vitro or Grafted into Female Balb/C Nude Mice: Insights into Cell Response and IGF-1R and PI3K/AKT/mTOR Signaling Pathways.

IF 2.5 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Vânia Marísia Santos Fortes Dos Reis, Franciely Machado Ramos, Henrique Leal de Oliveira, Fernanda Dapper Machado, Sara Hartke, Amanda Machado-Weber, Ariane Germeyer, Thomas Strowitzki, Lúcia Maria Kliemann, Helena von Eye Corleta, Ilma Simoni Brum, Edison Capp, Leo Anderson Meira Martins
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引用次数: 0

Abstract

Obesity and type II diabetes are independent risk factors for Endometrial cancer (EC) development. Elevated levels of insulin-like growth factor-1 (IGF-1), insulin resistance, and the increased activity of IGF-1 receptor is linked to EC development through the PI3K/AKT/mTOR pathway. The antidiabetic agent metformin is a promising repurposing drug for cancer treatment, but the mechanisms underlying its effects are not completely known. This study evaluated how metformin could act against the EC cell line Ishikawa cultured in vitro or grafted into female Balb/C nude mice. In vitro experiments demonstrated that treatment with 25 mM of metformin reduced cell viability through promoting cytotoxicity, mitochondrial dysfunction, apoptosis, and cell cycle arrest (G1 phase). Mice treatment with 250 mg/kg of metformin for 28 days did not change serum IGF-1 levels nor decreased the grafted cell-induced tumor weight and cell proliferation, but prevented its volume growth while genes of the IGF1-R and PI3K/AKT/mTOR pathways (AKT2, GAPDH, FOXO3, IGF1R, INSR, MAPK3, MTOR, and SHC1) were downregulated. Metformin treatment was more impacting for the in vitro model, but our molecular results provide valuable insights into the possible action of metformin against EC tumoral cells at physiological level. In-silico analysis using Cytoscape indicated that metformin was not described as interacting with AKT2 and SHC1 proteins. Besides interacting with metformin, mTOR and MAPK3 present the larger number of interactions with the other proteins. These four genes/proteins emerge as potential targets for deepening studies to determine the metformin's role in longer EC treatment using animal models.

二甲双胍治疗对体外培养或移植到雌性Balb/C裸鼠子宫内膜癌细胞的影响:细胞反应和IGF-1R和PI3K/AKT/mTOR信号通路的见解
肥胖和2型糖尿病是子宫内膜癌(EC)发展的独立危险因素。胰岛素样生长因子-1 (IGF-1)水平升高、胰岛素抵抗和IGF-1受体活性增加通过PI3K/AKT/mTOR通路与EC的发展有关。降糖药二甲双胍是一种很有前途的癌症治疗药物,但其作用机制尚不完全清楚。本研究评估了二甲双胍对体外培养或移植到雌性Balb/C裸鼠身上的EC细胞系Ishikawa的作用。体外实验表明,25 mM二甲双胍通过促进细胞毒性、线粒体功能障碍、凋亡和细胞周期阻滞(G1期)来降低细胞活力。用250 mg/kg二甲双胍治疗28天,小鼠血清IGF-1水平没有改变,移植物细胞诱导的肿瘤重量和细胞增殖也没有减少,但抑制了其体积增长,同时IGF1-R和PI3K/AKT/mTOR通路(AKT2、GAPDH、FOXO3、IGF1R、INSR、MAPK3、mTOR和SHC1)的基因下调。二甲双胍治疗对体外模型的影响更大,但我们的分子结果为二甲双胍在生理水平上对EC肿瘤细胞的可能作用提供了有价值的见解。使用Cytoscape进行的计算机分析表明,二甲双胍未被描述为与AKT2和SHC1蛋白相互作用。除了与二甲双胍相互作用外,mTOR和MAPK3与其他蛋白的相互作用较多。这四种基因/蛋白成为进一步研究的潜在靶点,以确定二甲双胍在动物模型中长期EC治疗中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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