Shams Anwar, Alzahrani Abdullah Ahmed, Ayash Taghreed A, Tamur Shadi, Al-Mourgi Majed
Department of Pharmacology, College of Medicine, Taif University, Taif, Saudi Arabia.
Research Center for Health Sciences, Deanship of Graduate Studies and Scientific Research, Taif University, Taif, Saudi Arabia.
Integr Cancer Ther. 2024 Jan-Dec;23:15347354241309659. doi: 10.1177/15347354241309659.
Breast cancer is a critical threat to human health, and effective targeted agents showing lower systemic toxicity are still lacking. Therefore, exploring new potent therapeutic candidates with a broader safety margin is warranted. Alternative medicine, which has historically been used in traditional Chinese medicine, has played an increasingly prominent role in this area of research. This study introduces Commiphora myrrha (or myrrh) as a potential therapeutic candidate for treating breast cancer patients. Myrrh bioactive extracts have been used traditionally for decades to treat numerous medical disorders, including cancers, specifically breast cancer. Nonetheless, myrrh's precise rudimentary mechanisms of action in regulating genes involved in breast cancer evolution and progression remain elusive.
Herein, we use a network pharmacology platform to identify the potential genes targeted by myrrh-active molecules in breast cancer.
The identified targets' expression profiles were determined at the mRNA and protein levels using The Breast Cancer Gene-Expression Miner v5.0 (bcGen-ExMiner v5.0) and The Human Protein Atlas datasets, respectively. A gene signature composed of the specifically designated genes was constructed, and its association with different breast cancer molecular subtypes was investigated through the Gene expression-based Outcome for Breast Cancer (GOBO) online tool. The protein mapping relationship between potential myrrh targets and their partner proteins during breast cancer development was screened and constructed through the STRING and ShinyGO databases. In addition, the Kaplan-Meier plots (KM-plot) prognostic tool was applied to assess the survival rate associated with the expression of the current gene signature in different human cancers, including breast cancer.
Combining the results of network pharmacology with other bioinformatics databases suggests that myrrh's active components exert anti-cancer effects by regulating genes involved in breast cancer pathogenesis, particularly PTGS2, EGFR, ESR2, MMP2, and JUN. An individual evaluation of the expression profiles of these genes at both mRNA and protein levels reveals that a high expression profile of each gene is associated with breast cancer advancement. Moreover, the GOBO analysis shows an elevated expression profile of the PTGS2/ESR2/EGFR/JUN/MMP2 genes' signature in the most aggressive breast cancer subtype (Basal) in breast tumor samples and breast cancer cell lines. Furthermore, the STRING protein interaction network and the KEGG analyses indicate that myrrh exerts therapeutic effects on breast cancer by regulating several biological processes such as cell proliferation, cell migration, apoptosis, and various signaling pathways, including TNF, PI3K-Akt, NF-κB, and MAPK. Consistently, breast cancer patients with high expression of this genes' signature display poor survival outcomes.
The present study is the first attempt to explore the biological involvement of myrrh-targeted genes during breast cancer development. Therefore, suppressing the effects of the intended genes' signature using myrrh extracts would provide encouraging results in blocking breast cancer tumorigenesis. Thus, our findings provide conclusive evidence and deepen the current understanding of the molecular role of myrrh in the treatment of breast cancer, further supporting its clinical application.
乳腺癌是对人类健康的重大威胁,目前仍缺乏具有较低全身毒性的有效靶向药物。因此,有必要探索具有更广泛安全范围的新型有效治疗候选药物。传统上用于中医的替代医学在这一研究领域发挥着越来越重要的作用。本研究引入没药作为治疗乳腺癌患者的潜在治疗候选药物。没药生物活性提取物在传统医学中已使用数十年,用于治疗多种疾病,包括癌症,特别是乳腺癌。然而,没药在调节参与乳腺癌发生和发展的基因方面的确切基本作用机制仍不清楚。
在此,我们使用网络药理学平台来鉴定没药活性分子在乳腺癌中靶向的潜在基因。
分别使用乳腺癌基因表达挖掘器v5.0(bcGen-ExMiner v5.0)和人类蛋白质图谱数据集在mRNA和蛋白质水平上确定已鉴定靶点的表达谱。构建由特定指定基因组成的基因特征,并通过基于基因表达的乳腺癌结果(GOBO)在线工具研究其与不同乳腺癌分子亚型的关联。通过STRING和ShinyGO数据库筛选并构建潜在没药靶点与其在乳腺癌发生过程中的伴侣蛋白之间的蛋白质映射关系。此外,应用Kaplan-Meier曲线(KM-plot)预后工具评估与当前基因特征在包括乳腺癌在内的不同人类癌症中的表达相关的生存率。
将网络药理学结果与其他生物信息学数据库相结合表明,没药的活性成分通过调节参与乳腺癌发病机制的基因发挥抗癌作用,特别是PTGS2、EGFR、ESR2、MMP2和JUN。对这些基因在mRNA和蛋白质水平上的表达谱进行单独评估发现,每个基因的高表达谱与乳腺癌进展相关。此外,GOBO分析显示,在乳腺肿瘤样本和乳腺癌细胞系中最具侵袭性的乳腺癌亚型(基底型)中,PTGS2/ESR2/EGFR/JUN/MMP2基因特征的表达谱升高。此外,STRING蛋白质相互作用网络和KEGG分析表明,没药通过调节细胞增殖、细胞迁移、凋亡等多种生物学过程以及包括TNF、PI3K-Akt、NF-κB和MAPK在内的各种信号通路对乳腺癌发挥治疗作用。一致地,具有该基因特征高表达的乳腺癌患者生存结果较差。
本研究是首次探索没药靶向基因在乳腺癌发生过程中的生物学作用。因此,使用没药提取物抑制目标基因特征的作用将在阻断乳腺癌肿瘤发生方面提供令人鼓舞的结果。因此,我们的研究结果提供了确凿的证据,并加深了目前对没药在乳腺癌治疗中分子作用的理解,进一步支持其临床应用。