Abstract

BackgroundTetrandrine, a bisbenzyl isoquinoline alkaloid from Stephania tetrandra was used in the present study. Roots of S. tetrandra is one of the major ingredients in herbal formulations of Traditional Chinese Medicine (TCM) viz. Fang Ji, Han-Dan-Gan-Le, Han-Dan-Gan-Le, Fang-Ji-Huang-Qi-Tang and Fang-Ji-Fu-Ling-Tang and, act as diuretic, antiinflammatory and antirheumatic agent. Alkaloids are the major components of S. tetrandra roots and tetrandrine is one of the important bisbenzyl isoquinoline alkaloids in this herb. Purpose and study designIn the present study, network pharmacology approach was used to identify major cancer signaling pathways and, protein molecules targeted by tetrandrine to induce an anticancer effect in breast cancer. MethodsPotential targets of tetrandrine against breast cancer were selected using already published articles and public databases and, were used in Protein-Protein Interaction (PPI) network analysis, Gene Ontology (GO), and Pathway enrichment analysis. ResultsPPI network analysis showed 65 nodes, 315 edges, and a clustering coefficient of 0.493. Tetrandrine targeted mainly on the proteins of mTOR, PI3-Akt, cell cycle and MAPK signaling pathways in addition to its action on cellular, biological and molecular functions as observed by Gene Ontology and KEGG analysis. ConclusionTetrandrine induces anticancer effect in breast cancer by targeting PI3K-Akt, mTOR and MAPK and cell cycle pathways.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.