Anwar Shams, Abdullah Ahmed Alzahrani, Taghreed A Ayash, Shadi Tamur, Majed Al-Mourgi
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引用次数: 0
Abstract
Background: 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.
Purpose: Herein, we use a network pharmacology platform to identify the potential genes targeted by myrrh-active molecules in breast cancer.
Method: 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.
Results: 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.
Conclusions: 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.
背景:乳腺癌是对人类健康的严重威胁,目前仍缺乏具有较低全身毒性的有效靶向药物。因此,探索具有更大安全范围的新有效治疗候选药物是必要的。替代医学,历史上一直用于中医,在这一研究领域发挥着越来越突出的作用。本研究介绍了没药(或没药)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几十年来一直用于治疗许多医学疾病,包括癌症,特别是乳腺癌。尽管如此,没药在调节参与乳腺癌进化和进展的基因中的精确基本作用机制仍然难以捉摸。目的:利用网络药理学平台,鉴定没药活性分子在乳腺癌中的潜在靶向基因。方法:分别使用The Breast Cancer Gene-Expression Miner v5.0 (bcGen-ExMiner v5.0)和The Human protein Atlas数据集在mRNA和蛋白水平上测定鉴定到的靶点的表达谱。构建由特异性指定基因组成的基因标记,并通过基于基因表达的乳腺癌预后(gene expression-based Outcome for breast cancer, GOBO)在线工具研究其与不同乳腺癌分子亚型的相关性。通过STRING和ShinyGO数据库筛选和构建乳腺癌发展过程中潜在没药靶点及其伴侣蛋白之间的蛋白定位关系。此外,Kaplan-Meier图(KM-plot)预测工具被用于评估不同人类癌症(包括乳腺癌)中与当前基因标记表达相关的生存率。结果:将网络药理学结果与其他生物信息学数据库相结合,表明没药的有效成分通过调节参与乳腺癌发病的基因,特别是PTGS2、EGFR、ESR2、MMP2和jun发挥抗癌作用。对这些基因在mRNA和蛋白水平上的表达谱进行的个体评估显示,每个基因的高表达谱与乳腺癌的进展有关。此外,GOBO分析显示,PTGS2/ESR2/EGFR/JUN/MMP2基因特征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)中表达谱升高。此外,STRING蛋白相互作用网络和KEGG分析表明,没药通过调节细胞增殖、细胞迁移、细胞凋亡等多种生物学过程以及TNF、PI3K-Akt、NF-κB和MAPK等多种信号通路,对乳腺癌发挥治疗作用。一贯地,高表达该基因特征的乳腺癌患者表现出较差的生存结果。结论:本研究首次尝试探索没药靶向基因在乳腺癌发展中的生物学参与。因此,使用没药提取物抑制预期基因签名的影响将在阻止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,加深了目前对没药在乳腺癌治疗中的分子作用的理解,进一步支持其临床应用。
期刊介绍:
ICT is the first journal to spearhead and focus on a new and growing movement in cancer treatment. The journal emphasizes scientific understanding of alternative medicine and traditional medicine therapies, and their responsible integration with conventional health care. Integrative care includes therapeutic interventions in diet, lifestyle, exercise, stress care, and nutritional supplements, as well as experimental vaccines, chrono-chemotherapy, and other advanced treatments. Contributors are leading oncologists, researchers, nurses, and health-care professionals.