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基于网络预测的乳溢平方在乳腺癌中的作用及可能机制。

Effects and possible mechanism of Ruyiping formula application to breast cancer based on network prediction.

机构信息

Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.

Surgery,Shanghai Pu Dong Hospital, Shanghai, China.

出版信息

Sci Rep. 2019 Mar 27;9(1):5249. doi: 10.1038/s41598-019-41243-9.

Abstract

Ruyiping (RYP), a Chinese herbal formula, can remove toxin and clear nodular, showing ability of preventing postoperative recurrence of breast cancer. In this study, network was performed to predict possible targets, genes and pathways associated with RYP and breast cancer. Thin Layer Chromatography (TLC) and High Performance Liquid Chromatography (HPLC) were used to quantitatively study RYP formula and its single herbs. MTT methods, Luciferase reporter systems, zebrafish model and western blotting were respectively adopted to verify network prediction. Results showed that the quality of RYP could be controlled and icariin could be selected as mark ingredient; RYP expressed anti-breast tumor effects, which could be associated with inhibiting expression of Transforming Growth Factor β (TGFβ), promoting cells apoptosis and anti-angiogenesis. Parts of these results were consistent with network predictions in some degree, but not all. Network can help us narrow areas, focus on crucial factors, save money as well as time, but the results predicted by network should be confirmed by further experiments.

摘要

如意平(RYP)是一种中药方剂,具有解毒、散结作用,能预防乳腺癌术后复发。本研究采用网络预测方法,预测与 RYP 及乳腺癌相关的可能靶点、基因及通路。采用薄层色谱法(TLC)和高效液相色谱法(HPLC)对 RYP 方及其单味药进行定量研究。采用 MTT 法、荧光素酶报告基因系统、斑马鱼模型和 Western blot 法分别验证网络预测结果。结果表明,RYP 质量可控,淫羊藿苷可作为其标记成分;RYP 具有抗乳腺癌作用,可能与抑制转化生长因子β(TGFβ)表达、促进细胞凋亡和抗血管生成有关。部分结果与网络预测有一定程度的一致性,但并非全部。网络预测有助于缩小研究范围,关注关键因素,节省时间和经费,但仍需进一步实验验证网络预测结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286b/6437177/e753fcdb9c7e/41598_2019_41243_Fig1_HTML.jpg

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