| Literature DB >> 34789568 |
Thomas Naert1,2, Dieter Tulkens1,2, Tom Van Nieuwenhuysen1, Joanna Przybyl3, Suzan Demuynck1,2, Matt van de Rijn3, Mushriq Al-Jazrawe4, Benjamin A Alman4, Paul J Coucke5, Kim De Leeneer5, Christian Vanhove6, Savvas N Savvides7,8, David Creytens2,9, Kris Vleminckx10,2.
Abstract
Cancer precision medicine implies identification of tumor-specific vulnerabilities associated with defined oncogenic pathways. Desmoid tumors are soft-tissue neoplasms strictly driven by Wnt signaling network hyperactivation. Despite this clearly defined genetic etiology and the strict and unique implication of the Wnt/β-catenin pathway, no specific molecular targets for these tumors have been identified. To address this caveat, we developed fast, efficient, and penetrant genetic Xenopus tropicalis desmoid tumor models to identify and characterize drug targets. We used multiplexed CRISPR/Cas9 genome editing in these models to simultaneously target a tumor suppressor gene (apc) and candidate dependency genes. Our methodology CRISPR/Cas9 selection-mediated identification of dependencies (CRISPR-SID) uses calculated deviations between experimentally observed gene editing outcomes and deep-learning-predicted double-strand break repair patterns to identify genes under negative selection during tumorigenesis. This revealed EZH2 and SUZ12, both encoding polycomb repressive complex 2 components, and the transcription factor CREB3L1 as genetic dependencies for desmoid tumors. In vivo EZH2 inhibition by Tazemetostat induced partial regression of established autochthonous tumors. In vitro models of patient desmoid tumor cells revealed a direct effect of Tazemetostat on Wnt pathway activity. CRISPR-SID represents a potent approach for in vivo mapping of tumor vulnerabilities and drug target identification.Entities:
Keywords: APC; EZH2; Xenopus; cancer dependency; desmoid tumor
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Year: 2021 PMID: 34789568 PMCID: PMC8617425 DOI: 10.1073/pnas.2115116118
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 12.779