Network pharmacological analysis and testing of the rutin effects on triple-negative breast cancer.

OBJECTIVES

This study aims to assess the potential mechanism of rutin to treat triple-negative breast cancer (TNBC) based on network pharmacology followed by experiments.

METHODS

The potential rutin targets were predicted, and the DisGeNET database was used to obtain the disease targets. The intersection targets were identified with Venny 2.1 software, with the String database subsequently used as input to produce the "drug-target-disease" visual network employing Cytoscape 3.7.2. Gene ontology. Kyoto Encyclopaedia of Genes and Genomes analyses were performed for intersection targets, while AutoDock Vina was used for molecular docking and visualization. Cell viability was assessed using the Colorimetric CCK-8 test, and apoptosis was analyzed using PI/Annexin V. The predicted core targets were confirmed by qPCR and western blotting assays.

RESULTS

EGFR, IL6, TNF, and INS were found as the primary targets. The molecular docking analysis revealed the rutin interaction with the core targets. The results confirmed that rutin inhibited the growth of the MDA-MB-231 cell line. Rutin also induced cell death and decreased the expressions of IL6, TNF, INS, and EGFR.

CONCLUSION

Rutin's multi-target effects and molecular mechanism for treating TNBC were confirmed through preliminary results. The results provide a theoretical base for rutin's possible function in breast cancer treatment.