1. Academic Validation
  2. Network pharmacology-based strategy for predicting therapy targets of Ecliptae Herba on breast cancer

Network pharmacology-based strategy for predicting therapy targets of Ecliptae Herba on breast cancer

  • Medicine (Baltimore). 2023 Oct 13;102(41):e35384. doi: 10.1097/MD.0000000000035384.
Hui Li 1 2 3 Wei Shi 1 2 3 Tingming Shen 4 Siwen Hui 2 3 Manting Hou 2 3 Ziying Wei 1 2 3 Shuanglin Qin 5 Zhaofang Bai 2 3 Junling Cao 1 6
Affiliations

Affiliations

  • 1 School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
  • 2 Department of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • 3 China Military Institute of Chinese Materia, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • 4 Ningde Hospital of Traditional Chinese Medicine, Ningde, China.
  • 5 School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, China.
  • 6 Luoyang Branch of Dongzhimen Hospital Afiliated to Beijing University of Chinese Medicine, Beijing, China.
Abstract

Breast Cancer is a prevalent malignancy affecting women globally, characterized by significant morbidity and mortality rates. Ecliptae Herba is a traditional herbal medicine commonly used in clinical practice, has recently been found to possess antitumor properties. In order to explore the underlying material basis and molecular mechanisms responsible for the anti-breast Cancer effects of Ecliptae Herba, we used network pharmacology and experimental verification. UPLC-MS/MS was utilized to identify compounds present in Ecliptae Herba. The active components of Ecliptae Herba and its breast Cancer targets were screened using public databases. Hub genes were identified using the STRING and Metascape database. The R software was utilized for visual analysis of GO and KEGG pathways. The affinity of the hub targets for the active ingredients was assessed by molecular docking analysis, which was verified by experimental assessment. A total of 178 targets were obtained from the 10 active components of Ecliptae Herba, while 3431 targets associated with breast Cancer were screened. There were 144 intersecting targets between the components and the disease. Targets with a higher degree, namely EGFR and TGFB1, were identified through the hub subnetwork of PPI. GO and KEGG analyses revealed that Ecliptae Herba plays an important role in multiple Cancer therapeutic mechanisms. Moreover, molecular docking results showed that the core components had good binding affinity with key targets. Finally, it was confirmed that TGF-β1 might be a potential crucial target of Ecliptae Herba in the treatment of breast Cancer by cytological experiments, and the TGF-β1/Smad signaling pathway might be an important pathway for Ecliptae Herba to exert its therapeutic effects. This study elucidated the active ingredients, key targets, and molecular mechanisms of Ecliptae Herba in the treatment of breast Cancer, providing a scientific foundation and therapeutic mechanism for the prevention and treatment of breast Cancer with Traditional Chinese medicine.

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