Development and preclinical validation of a novel covalent ubiquitin receptor Rpn13 degrader in multiple myeloma. View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-08

AUTHORS

Yan Song, Paul M C Park, Lei Wu, Arghya Ray, Sarah Picaud, Deyao Li, Virangika K Wimalasena, Ting Du, Panagis Filippakopoulos, Kenneth C Anderson, Jun Qi, Dharminder Chauhan

ABSTRACT

Proteasome inhibition is an effective treatment for multiple myeloma (MM); however, targeting different components of the ubiquitin-proteasome system (UPS) remains elusive. Our RNA-interference studies identified proteasome-associated ubiquitin-receptor Rpn13 as a mediator of MM cell growth and survival. Here, we developed the first degrader of Rpn13, WL40, using a small-molecule-induced targeted protein degradation strategy to selectively degrade this component of the UPS. WL40 was synthesized by linking the Rpn13 covalent inhibitor RA190 with the cereblon (CRBN) binding ligand thalidomide. We show that WL40 binds to both Rpn13 and CRBN and triggers degradation of cellular Rpn13, and is therefore first-in-class in exploiting a covalent inhibitor for the development of degraders. Biochemical and cellular studies show that WL40-induced Rpn13 degradation is both CRBN E3 ligase- and Rpn13-dependent. Importantly, WL40 decreases viability in MM cell lines and patient MM cells, even those resistant to bortezomib. Mechanistically, WL40 interrupts Rpn13 function and activates caspase apoptotic cascade, ER stress response and p53/p21 signaling. In animal model studies, WL40 inhibits xenografted human MM cell growth and prolongs survival. Overall, our data show the development of the first UbR Rpn13 degrader with potent anti-MM activity, and provide proof of principle for the development of degraders targeting components of the UPS for therapeutic application. More... »

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41375-019-0467-z

DOI

http://dx.doi.org/10.1038/s41375-019-0467-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113300798

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30962579


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RDF/XML is a standard XML format for linked data.

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