A Bioinformatic Strategy for Investigating the Mechanism of Hispolon in the Treatment of Triple-Negative Breast Cancer Combined with In vitro Experiments.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Junfeng Li, Jingfei Bao, Lichao Wu, Tengfei Sun, Junhui Zhao, Fei Luo, Fangfang Tao, Wenhong Liu
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引用次数: 0

Abstract

Background: Hispolon, a phenolic compound isolated from the medicinal yellow fungal mulberry, exhibits a strong anti-triple-negative breast cancer (TNBC) effect. However, the antitumor mechanisms of Hispolon have not been fully explored.

Objective: In this study, we systematically investigated the mechanism of Hispolon against TNBC based on bioinformatics and in vitro experiments.

Methods: The Hispolon-related targets were first collected from the SwissTarget database. Differential Expression Genes (DEG) were screened between TNBC and normal breast tissue using the Gene Expression Comprehensive (GEO) dataset. The overlapping targets between Hispolon and DEG were analyzed by plotting Venn maps. Protein-protein interaction (PPI) network was constructed to analyze the interactions among these targets. The focus was on mining the core targets of anti-TNBC effects of Hispolon via the Cytohubba and MCODE plugin of Cytoscape 3.7.2 software. We performed survival analysis on these core targets to screen the best-matched targets, including EGFR, KIT, and PLAU. This correlated strongly with our validation of Hispolon by molecular docking. In addition, Gene Ontology (GO) anal-ysis and KEGG pathway analysis were performed using R software (ClusterProfiler package). Finally, in vitro experiments were performed to assess the accuracy of predicted target genes.

Results: The ADME results suggested that Hispolon has great potential to develop into a drug. Twenty overlapping targets were screened by matching the 107 targets of Hispolon to the 2,013 targets of TNBC DEG. Seven core targets of Hispolon against TNBC were initially identified, including EGFR, IGFBP3, MMP9, MMP2, MMP1, PLAU, and KIT. GO enrich-ment analysis demonstrated that the biological process of Hispolon acting on TNBC mainly involves lymphocyte activation in immune response and phosphatidylinositol-mediated signal-ing. Additionally, the relaxin signaling pathway, estrogen signaling pathway, proteoglycans in cancer, and others might be the key pathways of Hispolon against TNBC. Furthermore, Hispo-lon inhibited the proliferation of MDA-MB-231 cells in a concentration-dependent manner and regulated the RNA and protein expression of the core targets EGFR, PLAU, and KIT for the treatment of TNBC.

Conclusion: In this study, the polygenic pharmacological mechanism of action of Hispolon against TNBC was explored through network pharmacology and in vitro experiments, provid-ing a new insight into the mechanism of TCM monomer against TNBC.

结合体外实验研究希斯波隆治疗三阴性乳腺癌机制的生物信息学策略
背景:从药用桑黄菌中分离出的酚类化合物Hispolon具有很强的抗三阴性乳腺癌(TNBC)作用。然而,Hispolon的抗肿瘤机制尚未得到充分探索:本研究基于生物信息学和体外实验,系统研究了Hispolon对TNBC的抗肿瘤机制:方法:首先从 SwissTarget 数据库中收集与 Hispolon 相关的靶点。利用基因表达综合(GEO)数据集筛选 TNBC 和正常乳腺组织的差异表达基因(DEG)。通过绘制维恩图分析了Hispolon和DEG之间的重叠靶点。构建了蛋白质-蛋白质相互作用(PPI)网络,以分析这些靶点之间的相互作用。通过Cytoscape 3.7.2软件的Cytohubba和MCODE插件,重点挖掘了Hispolon抗TNBC作用的核心靶点。我们对这些核心靶点进行了生存分析,筛选出最佳匹配靶点,包括表皮生长因子受体、KIT和PLAU。这与我们通过分子对接验证 Hispolon 的结果密切相关。此外,我们还使用 R 软件(ClusterProfiler 软件包)进行了基因本体(GO)分析和 KEGG 通路分析。最后,进行了体外实验以评估预测靶基因的准确性:ADME结果表明,Hispolon具有开发成药物的巨大潜力。通过将Hispolon的107个靶点与TNBC DEG的2,013个靶点进行比对,筛选出20个重叠靶点。初步确定了Hispolon针对TNBC的7个核心靶点,包括表皮生长因子受体(EGFR)、IGFBP3、MMP9、MMP2、MMP1、PLAU和KIT。GO富集分析表明,希波龙作用于TNBC的生物学过程主要涉及免疫反应中的淋巴细胞活化和磷脂酰肌醇介导的信号转导。此外,松弛素信号通路、雌激素信号通路、肿瘤中的蛋白多糖等也可能是海斯波隆作用于TNBC的关键通路。此外,Hispo-lon还能以浓度依赖的方式抑制MDA-MB-231细胞的增殖,并调节核心靶点表皮生长因子受体(EGFR)、PLAU和KIT的RNA和蛋白表达,从而治疗TNBC:本研究通过网络药理学和体外实验,探讨了海斯波隆治疗TNBC的多基因药理作用机制,为中药单体治疗TNBC的机制提供了新的认识。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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