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Cell Systems
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Cell Systems
Article
License: CC BY
Data sources: UnpayWall
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VISAGE Reveals a Targetable Mitotic Spindle Vulnerability in Cancer Cells

Authors: Jesse C, Patterson; Brian A, Joughin; Andrea E, Prota; Tobias, Mühlethaler; Oliver H, Jonas; Matthew A, Whitman; Shohreh, Varmeh; +5 Authors

VISAGE Reveals a Targetable Mitotic Spindle Vulnerability in Cancer Cells

Abstract

There is an unmet need for new antimitotic drug combinations that target cancer-specific vulnerabilities. Based on our finding of elevated biomolecule oxidation in mitotically arrested cancer cells, we combined Plk1 inhibitors with TH588, an MTH1 inhibitor that prevents detoxification of oxidized nucleotide triphosphates. This combination showed robust synergistic killing of cancer, but not normal, cells that, surprisingly, was MTH1-independent. To dissect the underlying synergistic mechanism, we developed VISAGE, a strategy integrating experimental synergy quantification with computational-pathway-based gene expression analysis. VISAGE predicted, and we experimentally confirmed, that this synergistic combination treatment targeted the mitotic spindle. Specifically, TH588 binding to β-tubulin impaired microtubule assembly, which when combined with Plk1 blockade, synergistically disrupted mitotic chromosome positioning to the spindle midzone. These findings identify a cancer-specific mitotic vulnerability that is targetable using Plk1 inhibitors with microtubule-destabilizing agents and highlight the general utility of the VISAGE approach to elucidate molecular mechanisms of drug synergy.

Keywords

Gene Expression Profiling, Computational Biology, Antineoplastic Agents, Cell Cycle Proteins, Drug Synergism, Spindle Apparatus, Protein Serine-Threonine Kinases, Growth Inhibitors, Phosphoric Monoester Hydrolases, Polo-Like Kinase 1, DNA Repair Enzymes, Pyrimidines, Tubulin, Cell Line, Tumor, Neoplasms, Proto-Oncogene Proteins, Humans, Molecular Targeted Therapy, Protein Binding

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citations
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!
27
Top 10%
Average
Top 10%
hybrid
Related to Research communities
Cancer Research