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Subtype-selective prenylated isoflavonoids disrupt regulatory drivers of MYCN-amplified cancers.


ABSTRACT: Transcription factors have proven difficult to target with small molecules because they lack pockets necessary for potent binding. Disruption of protein expression can suppress targets and enable therapeutic intervention. To this end, we developed a drug discovery workflow that incorporates cell-line-selective screening and high-throughput expression profiling followed by regulatory network analysis to identify compounds that suppress regulatory drivers of disease. Applying this approach to neuroblastoma (NBL), we screened bioactive molecules in cell lines representing its MYC-dependent (MYCNA) and mesenchymal (MES) subtypes to identify selective compounds, followed by PLATESeq profiling of treated cells. This revealed compounds that disrupt a sub-network of MYCNA-specific regulatory proteins, resulting in MYCN degradation in vivo. The top hit was isopomiferin, a prenylated isoflavonoid that inhibited casein kinase 2 (CK2) in cells. Isopomiferin and its structural analogs inhibited MYC and MYCN in NBL and lung cancer cells, highlighting the general MYC-inhibiting potential of this unique scaffold.

SUBMITTER: Stokes ME 

PROVIDER: S-EPMC11031350 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

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Subtype-selective prenylated isoflavonoids disrupt regulatory drivers of MYCN-amplified cancers.

Stokes Michael E ME   Vasciaveo Alessandro A   Small Jonnell Candice JC   Zask Arie A   Reznik Eduard E   Smith Nailah N   Wang Qian Q   Daniels Jacob J   Forouhar Farhad F   Rajbhandari Presha P   Califano Andrea A   Stockwell Brent R BR  

Cell chemical biology 20231206 4


Transcription factors have proven difficult to target with small molecules because they lack pockets necessary for potent binding. Disruption of protein expression can suppress targets and enable therapeutic intervention. To this end, we developed a drug discovery workflow that incorporates cell-line-selective screening and high-throughput expression profiling followed by regulatory network analysis to identify compounds that suppress regulatory drivers of disease. Applying this approach to neur  ...[more]

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