自拟中药复方抑制三阴性乳腺癌进展的作用及机制研究
Study on the Effect and Mechanism of a Self-Formulated Chinese Herbal Formula in Inhibiting the Progression of Triple Negative Breast Cancer
袁冬冬 1念桐西 1吴巍 1段泰亮 2李乐1
作者信息
- 1. 宁夏大学 生命科学学院,宁夏 银川 750021;宁夏大学 西部特色生物资源保护与利用教育部重点实验室,宁夏 银川 750021
- 2. 宁夏银川中易互联网医院,宁夏 银川 750001
- 折叠
摘要
探讨自拟中药复方抑制三阴性乳腺癌进展的作用及机制.通过体内外实验,考察自拟中药复方对三阴性乳腺癌小鼠体内肿瘤生长的影响,对三阴性乳腺癌细胞的活性、增殖、成瘤能力、转移与相关蛋白表达进行分析,通过网络药理学分析方法,预测药物作用的分子机制,并通过相关实验进行验证.结果表明,自拟中药复方可以显著抑制三阴性乳腺癌肿瘤的生长及其细胞的活性、增殖、成瘤及转移(P＜0.05).网络药理学分析方法预测自拟中药复方可能作用于PI3K-AKT通路,Western blot法检测结果显示,PI3K-AKT通路受到抑制(P＜0.05).因此,自拟中药复方可以通过PI3K-AKT通路抑制三阴性乳腺癌进展.
Abstract
This study aimed to investigate the effect and mechanism of the self-made traditional Chinese herbal formula in inhibiting the progression of triple negative breast cancer(TNBC).In vivo and in vitro experiments were conducted to assess the impact of the self-formulated traditional Chinese herbal formula on the tumor growth in TNBC mice,as well as on the activity,proliferation,tumorigenicity,metastasis,and expression of related proteins in TNBC cells.The molecular mechanism of action was predicted using network pharmacology and confirmed through experimental validation.The results showed that the self-formulated traditional Chinese herbal formula significantly inhibited TNBC tumor growth and suppressed the activity,proliferation,tumorige-nicity,and metastasis of TNBC cells(p＜0.05).Network pharmacology analysis suggested that the self-formulated traditional Chinese herbal formula may act on the PI3K-AKT pathway,which was supported by Western blot analysis showing inhibition of the PI3K-AKT pathway(p＜0.05).Therefore,the self-formulated traditional Chinese herbal formula exert its inhibitory effects on TNBC progression through the PI3K-AKT pathway.
关键词
自拟中药复方/三阴性乳腺癌/网络药理学/体内外实验Key words
Chinese herbal formula/triple negative breast cancer/network pharmacology/in vivo and in vitro experiments引用本文复制引用
基金项目
中央引导地方科技发展专项基础研究基金资助项目(2021FRD05024)
国家自然科学基金资助项目(32100625)
2022年宁夏大学研究生创新基金资助项目(CXXM202235)
2023年宁夏大学生创新创业训练计划基金资助项目(S202310749084)
出版年
2024
国家科技期刊平台
NSTL
万方数据