Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer
Triple negative breast cancer (TNBC) is a heterogeneous disease that easily develops drug resistance. To achieve more effective clinical responses, synergistic drug combinations that inhibit multiple survival pathways of cancer are urgently needed. However, pinpointing these drug combinations is dif...
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| Hauptverfasser: | , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
08 July 2019
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| In: |
npj Systems biology and applications
Year: 2019, Jahrgang: 5, Heft: 1, Pages: 1-11 |
| ISSN: | 2056-7189 |
| DOI: | 10.1038/s41540-019-0098-z |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1038/s41540-019-0098-z Verlag, Volltext: https://www.nature.com/articles/s41540-019-0098-z 
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| Verfasserangaben: | Jing Tang, Prson Gautam, Abhishekh Gupta, Liye He, Sanna Timonen, Yevhen Akimov, Wenyu Wang, Agnieszka Szwajda, Alok Jaiswal, Denes Turei, Bhagwan Yadav, Matti Kankainen, Jani Saarela, Julio Saez-Rodriguez, Krister Wennerberg and Tero Aittokallio |
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| 520 | |a Triple negative breast cancer (TNBC) is a heterogeneous disease that easily develops drug resistance. To achieve more effective clinical responses, synergistic drug combinations that inhibit multiple survival pathways of cancer are urgently needed. However, pinpointing these drug combinations is difficult, as the number of possible combinations grows exponentially. Tang and co-workers from the University of Helsinki, University of Copenhagen, and University of Heidelberg developed a network pharmacology modeling approach to predict synergistic drug combinations and their underlying target interactions. With dynamic simulation of signaling pathways, they identified a synergistic target interaction that involved Aurora B and ZAK that play a critical role in regulating the survival of TNBC cells. These new combinatorial drug targets warrant further exploration of clinical benefits in treating TNBC. | ||
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