Network pharmacology and in silico approach to study the mechanism of quercetin against breast cancer.

In silico pharmacology Pub Date : 2025-02-06 eCollection Date: 2025-01-01 DOI:10.1007/s40203-025-00306-8
Tejveer Singh, Mahi Rastogi, Kulbhushan Thakur
{"title":"Network pharmacology and in silico approach to study the mechanism of quercetin against breast cancer.","authors":"Tejveer Singh, Mahi Rastogi, Kulbhushan Thakur","doi":"10.1007/s40203-025-00306-8","DOIUrl":null,"url":null,"abstract":"<p><p>Breast cancer is a significant health concern among females with an estimated 2.3 million cases reported worldwide in 2022. Traditional treatment methods have now developed resistance and various adverse effects, highlighting an urgent need for attention. Therefore, it is advisable to substitute these conventional therapies with innovative medications. Quercetin is a flavonoid, commonly found in various vegetables and fruits and have been shown to possess anti-cancer properties. Network pharmacology is a comprehensive approach that has significantly assisted in investigating the potential of quercetin as a therapeutic option for breast cancer. The first step includes target fishing for quercetin-targeted genes in breast cancer through various online available databases. All intersecting genes were analysed for the phenotypic- genotypic correlation via online VarElect analysis tool. Using the result from the result the GO enrichment and pathway enrichment analysis was done on 52 common genes; followed by PPI network construction and based on topological parameters top 8 genes were filtered. Based on theVenny2.1 and then GEPIA and HPA analysis the key target were identifies as ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4 and ABCG2. Further, Molecular docking was done to investigate the possible interaction of the identified gene with quercetin. Our finding shows quercetin is the potential natural drug that can treat breast cancer effectively. Quercetin interacts with ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4, and ABCG2 at cellular as well as molecular level. The ADMET analysis suggests the bioavaibility of quercetin is around 0.55. Suggesting that quercetin satisfies drug-likeness rules but may face challenges like low bioavailability, which can be enhanced through structural modifications or formulations (e.g., nanoparticles). The molecular docking result assures the interaction of quercetin with the ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4, and ABCG2 with the binding affinity of - 7.2, - 10.1, - 10.4, - 8.0, - 8.2, - 8.2, - 9.0 and - 8.9 respectively. These results suggest quercetin has a stable interaction with the ABCC4 gene. Considering this interaction the quercetin molecules can rescue the cellular condition by inducing apoptosis, inhibiting proliferation, and suppressing metastasis. Quercetin, a natural compound found in fruits and vegetables, has been found to have significant therapeutic roles in treating breast cancer. It inhibits cell cycle arrest, promotes apoptosis, and reduces blood vessel formation. It also reverses drug resistance and has antioxidant and anti-inflammatory properties. This study concludes that the therapeutic influence of quercetin plays a significant role in treating breast cancer and aids in the advancement of the clinical application of quercetin in future studies.</p><p><strong>Graphical abstract: </strong></p>","PeriodicalId":94038,"journal":{"name":"In silico pharmacology","volume":"13 1","pages":"22"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802979/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"In silico pharmacology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40203-025-00306-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Breast cancer is a significant health concern among females with an estimated 2.3 million cases reported worldwide in 2022. Traditional treatment methods have now developed resistance and various adverse effects, highlighting an urgent need for attention. Therefore, it is advisable to substitute these conventional therapies with innovative medications. Quercetin is a flavonoid, commonly found in various vegetables and fruits and have been shown to possess anti-cancer properties. Network pharmacology is a comprehensive approach that has significantly assisted in investigating the potential of quercetin as a therapeutic option for breast cancer. The first step includes target fishing for quercetin-targeted genes in breast cancer through various online available databases. All intersecting genes were analysed for the phenotypic- genotypic correlation via online VarElect analysis tool. Using the result from the result the GO enrichment and pathway enrichment analysis was done on 52 common genes; followed by PPI network construction and based on topological parameters top 8 genes were filtered. Based on theVenny2.1 and then GEPIA and HPA analysis the key target were identifies as ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4 and ABCG2. Further, Molecular docking was done to investigate the possible interaction of the identified gene with quercetin. Our finding shows quercetin is the potential natural drug that can treat breast cancer effectively. Quercetin interacts with ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4, and ABCG2 at cellular as well as molecular level. The ADMET analysis suggests the bioavaibility of quercetin is around 0.55. Suggesting that quercetin satisfies drug-likeness rules but may face challenges like low bioavailability, which can be enhanced through structural modifications or formulations (e.g., nanoparticles). The molecular docking result assures the interaction of quercetin with the ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4, and ABCG2 with the binding affinity of - 7.2, - 10.1, - 10.4, - 8.0, - 8.2, - 8.2, - 9.0 and - 8.9 respectively. These results suggest quercetin has a stable interaction with the ABCC4 gene. Considering this interaction the quercetin molecules can rescue the cellular condition by inducing apoptosis, inhibiting proliferation, and suppressing metastasis. Quercetin, a natural compound found in fruits and vegetables, has been found to have significant therapeutic roles in treating breast cancer. It inhibits cell cycle arrest, promotes apoptosis, and reduces blood vessel formation. It also reverses drug resistance and has antioxidant and anti-inflammatory properties. This study concludes that the therapeutic influence of quercetin plays a significant role in treating breast cancer and aids in the advancement of the clinical application of quercetin in future studies.

Graphical abstract:

网络药理学和计算机方法研究槲皮素抗乳腺癌的机制。
乳腺癌是女性的一个重大健康问题,2022年全球报告的病例估计为230万例。传统的治疗方法现已产生耐药性和各种不良反应,迫切需要引起重视。因此,建议用创新药物替代这些传统疗法。槲皮素是一种类黄酮,常见于各种蔬菜和水果中,已被证明具有抗癌特性。网络药理学是一种全面的方法,在研究槲皮素作为乳腺癌治疗选择的潜力方面有很大的帮助。第一步包括通过各种在线数据库在乳腺癌中寻找槲皮素靶向基因。通过在线VarElect分析工具分析所有交叉基因的表型-基因型相关性。利用结果对52个常见基因进行了GO富集和途径富集分析;然后构建PPI网络,根据拓扑参数筛选出前8个基因。通过venny2.1和GEPIA和HPA分析,鉴定出关键靶点为ABCC1、ABCC4、AKT1、ABCB1、CYP1B1、CYP19A1、ABCB4和ABCG2。进一步,分子对接研究鉴定的基因与槲皮素可能的相互作用。我们的发现表明槲皮素是一种潜在的天然药物,可以有效地治疗乳腺癌。槲皮素在细胞和分子水平上与ABCC1、ABCC4、AKT1、ABCB1、CYP1B1、CYP19A1、ABCB4和ABCG2相互作用。ADMET分析表明槲皮素的生物利用度在0.55左右。这表明槲皮素满足药物相似性规则,但可能面临低生物利用度等挑战,这可以通过结构修饰或配方(例如纳米颗粒)来增强。分子对接结果确定槲皮素与ABCC1、ABCC4、AKT1、ABCB1、CYP1B1、CYP19A1、ABCB4和ABCG2的结合亲和力分别为- 7.2、- 10.1、- 10.4、- 8.0、- 8.2、- 8.2、- 9.0和- 8.9。这些结果表明槲皮素与ABCC4基因具有稳定的相互作用。考虑到这种相互作用,槲皮素分子可以通过诱导凋亡、抑制增殖和抑制转移来挽救细胞状况。槲皮素是一种在水果和蔬菜中发现的天然化合物,在治疗乳腺癌方面具有重要的治疗作用。它抑制细胞周期阻滞,促进细胞凋亡,减少血管形成。它还能逆转耐药性,并具有抗氧化和抗炎的特性。本研究认为槲皮素的治疗作用在治疗乳腺癌中具有重要作用,有助于在今后的研究中推进槲皮素的临床应用。图形化的简介:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信