预测模型的构建和Si-Wu-Tang针对乳腺癌的目标识别
Zeye Zhang1, Zexin Zhang2, Jinqin Song3
1School of Life Sciences, Beijing University of Chinese Medicine, Beijing, 100029, China.
Heliyon
|October 25, 2023
概括
西武唐 (SWT) 通过调节受体氨酸激酶,有效向乳腺癌. 关键化合物马林和森基能降低ITGB3和RORB的调节,有助于预测患者的结果.
科学领域:
- 药理学和生物信息学 药理学和生物信息学
- 瘤学研究研究
- 传统中国医药 传统中国医药
背景情况:
- 乳腺癌 (BRCA) 仍然是全球重要的健康问题.
- 了解Si-Wu-Tang (SWT) 等治疗剂的分子机制对于开发有效的治疗方法至关重要.
- 网络药理学和生物信息学为剖析复杂的药物向相互作用提供了强大的工具.
研究的目的:
- 确定Si-Wu-Tang (SWT) 对抗乳腺癌 (BRCA) 的目标和机制.
- 使用关键已识别的基因构建乳腺癌的新型预后模型.
- 验证特定的SWT化合物及其蛋白质标的作用.
主要方法:
- 网络药理学和生物信息分析以确定BRCA中的SWT目标.
- 使用11个关键基因构建预后模型.
- 使用MCF-7细胞进行体外实验,以评估化合物-蛋白相互作用和基因表达.
- 对受体氨酸激酶信号通路的分析.
主要成果:
- 确定了72个针对SWT的抗BRCA标;11个基因 (MAOA,SQLE,CACNA2D1,GLI1,RORB,ITGB3,TACR1,NR3C2,CA3,RBP4,PTK6) 形成了一个预后模型.
- SWT的抗癌活性与调节受体氨酸激酶信号通路有关.
- 马林和森基直接与ITGB3和RORB结合,这些细胞在用SWAT治疗的MCF-7细胞中显著下调.
结论:
- 马林和仙基是SWT中的关键活性化合物.
- ITGB3和RORB是受SWT影响的主要蛋白标.
- 开发的预后模型可以预测BRCA患者的结果.
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