Basavarajappa Girish Meravanige, Rehman Abdur, Shiroorkar Predeepkumar Narayanappa, Sreeharsha Nagaraja, Anwer Md Khalid, Aloufi Bandar
College of Life Sciences, Northwest A&F University, Yangling, China.
Department of Pharmaceutical Sciences, College of Clinical Pharmacy, King Faisal University, Al-Hofuf, Saudi Arabia.
Front Pharmacol. 2023 Apr 27;14:1187079. doi: 10.3389/fphar.2023.1187079. eCollection 2023.
Breast cancer is a silent killer disorder among women and a serious economic burden in healthcare management. Every 19 s, a woman is diagnosed with breast cancer, and every 74 s, a woman worldwide passes away from the disease. Despite the increase in progressive research, advanced treatment approaches, and preventive measures, breast cancer rates continue to increase. This study provides a combination of data mining, network pharmacology, and docking analysis that surely could revolutionize cancer treatment by exploiting prestigious phytochemicals. is a small, rounded deciduous tree with glossy, deeply lobed leaves and flat sprays of cream flowers, followed by dark red berries in autumn. Various studies demonstrated that is therapeutically effective against breast cancer. However, the particular molecular mechanism is still unknown. This study is credited for locating bioactive substances, metabolic pathways, and target genes for breast cancer treatment. According to the current investigation, which examined compound-target genes-pathway networks, it was found that the bioactive compounds of may operate as a viable solution against breast cancer by altering the target genes implicated in the disease pathogenesis. The expression level of target genes was analyzed using GSE36295 microarray data. Docking analysis and molecular dynamic simulation studies further strengthened the current findings by validating the effective activity of the bioactive compounds against putative target genes. In summary, we propose that six key compounds, luteolin, apigenin, quercetin, kaempferol, ursolic acid, and oleanolic acid, contributed to the development of breast cancer by affecting the MMP9 and PPARG proteins. Integration of network pharmacology and bioinformatics revealed multitarget pharmacological mechanisms against breast cancer. This study provides convincing evidence that might partially alleviate breast cancer and ultimately lays a foundation for further experimental research on the anti-breast cancer activity of .
乳腺癌是女性中的一种隐匿性杀手疾病，也是医疗管理中的一项沉重经济负担。每19秒就有一名女性被诊断出患有乳腺癌，每74秒就有一名全球女性死于该疾病。尽管在前沿研究、先进治疗方法和预防措施方面有所增加，但乳腺癌发病率仍在持续上升。本研究提供了数据挖掘、网络药理学和对接分析的组合，肯定能够通过利用著名的植物化学物质彻底改变癌症治疗。[此处原文缺失植物名称相关描述]是一种小型圆形落叶乔木，叶子有光泽，叶裂深，开有奶油色花朵的扁平花簇，秋季结深红色浆果。各种研究表明，[此处原文缺失植物名称相关描述]对乳腺癌具有治疗效果。然而，具体的分子机制仍然未知。本研究因定位出用于乳腺癌治疗的生物活性物质、代谢途径和靶基因而受到赞誉。根据目前对化合物 - 靶基因 - 途径网络的研究，发现[此处原文缺失植物名称相关描述]的生物活性化合物可能通过改变与疾病发病机制相关的靶基因，成为对抗乳腺癌的可行解决方案。使用GSE36295微阵列数据分析靶基因的表达水平。对接分析和分子动力学模拟研究通过验证生物活性化合物对假定靶基因的有效活性，进一步强化了当前的研究结果。总之，我们提出六种关键化合物，木犀草素、芹菜素、槲皮素、山奈酚、熊果酸和齐墩果酸，通过影响MMP9和PPARG蛋白促成了乳腺癌的发展。网络药理学和生物信息学的整合揭示了[此处原文缺失植物名称相关描述]对抗乳腺癌的多靶点药理机制。本研究提供了令人信服的证据，表明[此处原文缺失植物名称相关描述]可能部分缓解乳腺癌，并最终为进一步开展[此处原文缺失植物名称相关描述]抗乳腺癌活性的实验研究奠定基础。
