1. Bispecific Estrogen Receptor α Degraders Incorporating Novel Binders Identified Using DNA-Encoded Chemical Library Screening.
- Author
-
Disch JS, Duffy JM, Lee ECY, Gikunju D, Chan B, Levin B, Monteiro MI, Talcott SA, Lau AC, Zhou F, Kozhushnyan A, Westlund NE, Mullins PB, Yu Y, von Rechenberg M, Zhang J, Arnautova YA, Liu Y, Zhang Y, McRiner AJ, Keefe AD, Kohlmann A, Clark MA, Cuozzo JW, Huguet C, and Arora S
- Subjects
- Animals, Breast Neoplasms drug therapy, Cell Line, Tumor, Cell Survival drug effects, Click Chemistry, DNA metabolism, Estrogen Antagonists chemistry, Estrogen Antagonists metabolism, Estrogen Antagonists pharmacology, Estrogen Antagonists therapeutic use, Estrogen Receptor alpha chemistry, Estrogen Receptor alpha genetics, Female, Half-Life, Humans, Indoles chemistry, Indoles metabolism, Kinetics, Mice, Small Molecule Libraries metabolism, Small Molecule Libraries pharmacology, Small Molecule Libraries therapeutic use, Structure-Activity Relationship, Xenograft Model Antitumor Assays, DNA chemistry, Estrogen Receptor alpha metabolism, Small Molecule Libraries chemistry
- Abstract
Bispecific degraders (PROTACs) of ERα are expected to be advantageous over current inhibitors of ERα signaling (aromatase inhibitors/SERMs/SERDs) used to treat ER+ breast cancer. Information from DNA-encoded chemical library (DECL) screening provides a method to identify novel PROTAC binding features as the linker positioning, and binding elements are determined directly from the screen. After screening ∼120 billion DNA-encoded molecules with ERα WT and 3 gain-of-function (GOF) mutants, with and without estradiol to identify features that enrich ERα competitively, the off-DNA synthesized small molecule exemplar 7 exhibited nanomolar ERα binding, antagonism, and degradation. Click chemistry synthesis on an alkyne E3 ligase engagers panel and an azide variant of 7 rapidly generated bispecific nanomolar degraders of ERα, with PROTACs 18 and 21 inhibiting ER+ MCF7 tumor growth in a mouse xenograft model of breast cancer. This study validates this approach toward identifying novel bispecific degrader leads from DECL screening with minimal optimization.
- Published
- 2021
- Full Text
- View/download PDF