PROTACs Targeting BRM (SMARCA2) Afford Selective In Vivo Degradation over BRG1 (SMARCA4) and Are Active in BRG1 Mutant Xenograft Tumor Models.
Michael BerlinJennifer CantleyMark BookbinderElizabeth BortolonFabio BroccatelliGreg CadelinaEmily W ChanHuifen ChenXin ChenYunxing ChengTommy K CheungKim DavenportDean DiNicolaDebbie GordonBrian D HammanAlicia HarbinRoy HaskellMingtao HeAlison J HoleThomas JanuarioPhilip S KerryStefan G KoenigLimei LiMark MerchantInmaculada Pérez-DoradoJennifer PizzanoConnor QuinnChristopher M RoseEmma RousseauLeofal SotoLeanna R StabenHongming SunQingping TianJing WangWeifeng WangCrystal S YeXiaofen YePenghong ZhangYuhui ZhouRobert YauchPeter S DragovichPublished in: Journal of medicinal chemistry (2024)
The identification of VHL-binding proteolysis targeting chimeras (PROTACs) that potently degrade the BRM protein (also known as SMARCA2) in SW1573 cell-based experiments is described. These molecules exhibit between 10- and 100-fold degradation selectivity for BRM over the closely related paralog protein BRG1 (SMARCA4). They also selectively impair the proliferation of the H1944 "BRG1-mutant" NSCLC cell line, which lacks functional BRG1 protein and is thus highly dependent on BRM for growth, relative to the wild-type Calu6 line. In vivo experiments performed with a subset of compounds identified PROTACs that potently and selectively degraded BRM in the Calu6 and/or the HCC2302 BRG1 mutant NSCLC xenograft models and also afforded antitumor efficacy in the latter system. Subsequent PK/PD analysis established a need to achieve strong BRM degradation (>95%) in order to trigger meaningful antitumor activity in vivo . Intratumor quantitation of mRNA associated with two genes whose transcription was controlled by BRM ( PLAU and KRT80 ) also supported this conclusion.
Keyphrases
- wild type
- small cell lung cancer
- binding protein
- protein protein
- amino acid
- cancer therapy
- advanced non small cell lung cancer
- single cell
- ms ms
- gene expression
- mass spectrometry
- small molecule
- bioinformatics analysis
- transcription factor
- drug delivery
- high resolution
- brain metastases
- epidermal growth factor receptor
- tyrosine kinase