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Cancer Management and Research
Article . 2021
Data sources: DOAJ
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Network Pharmacology-Based Approach to Investigate the Molecular Targets of Sinomenine for Treating Breast Cancer

Authors: Li XM; Li MT; Jiang N; Si YC; Zhu MM; Wu QY; Shi DC; +3 Authors

Network Pharmacology-Based Approach to Investigate the Molecular Targets of Sinomenine for Treating Breast Cancer

Abstract

Xiao-Mei Li,1,2,* Mao-Ting Li,2,3,* Ni Jiang,1 Ya-Chen Si,3 Meng-Mei Zhu,2 Qiao-Yuan Wu,1 Dong-Chen Shi,4 Hui Shi,4 Qing Luo,1 Bing Yu2 1Cancer Research Laboratory, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, 563003, People’s Republic of China; 2Department of Cell Biology, Center for Stem Cell and Medicine, Navy Medical University (Second Military Medical University), Shanghai, 200433, People’s Republic of China; 3Student Brigade, Second Military Medical University, Shanghai, People’s Republic of China; 4Department of Respiratory and Critical Care Medicine, Shanghai Changhai Hospital, Shanghai, 200433, People’s Republic of China*These authors contributed equally to this workCorrespondence: Bing Yu; Qing Luo Email smmucellyu@163.com; zlsysluoqing@163.comPurpose: Sinomenine has been known to inhibit the proliferation of breast cancer cells. However, its targets have not been found yet. This study aimed to search for molecular targets of sinomenine for treating breast cancer via network pharmacology.Methods: Potential targets of sinomenine or breast cancer were separately screened from indicated databases. The common targets of both sinomenine and breast cancer were considered as the targets of sinomenine for treating breast cancer. A sinomenine-target-pathway network was constructed based on the obtained results from Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. The putative targets of sinomenine were further determined by using protein–protein interaction (PPI) analysis and molecular docking. Finally, the putative targets were verified in vitro and in vivo.Results: Twenty predicted targets were identified through network pharmacological analysis. Gene Ontology (GO) and KEGG pathway enrichment indicated that these predicted targets enriched in the process of MAP kinase activity, VEGF signaling pathway, Relaxin signaling pathway, Growth hormone synthesis, secretion and action. MAPK1, NOS3, NR3C1, NOS1 and NOS2 were further identified as the putative targets by using PPI and molecular docking analysis. Expression of MAPK1, NR3C1, NOS1, NOS2 and NOS3 genes were significantly regulated by sinomenine in both MCF-7 cells and MDA-MB-231 cells. Furthermore, the expression of NR3C1 in human breast cancer specimens was lower than that in para-tumor normal tissues. Meanwhile, the expression of NR3C1 in xenograft tumors was up-regulated after sinomenine treatment.Conclusion: MAPK1, NR3C1, NOS1, NOS2 and NOS3 were identified as the putative targets of sinomenine for treating breast cancer. NR3C1 was preliminarily confirmed as a target of sinomenine in two breast cancer cell lines, xenograft tumor models and human breast cancer specimens. These data indicated that the network pharmacology-based prediction of sinomenine targets for treating breast cancer could be reliable.Keywords: sinomenine, breast cancer, network pharmacology, targets screen, NR3C1

Keywords

breast cancer, nr3c1, targets screen, sinomenine, network pharmacology, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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