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  • Design of BET Inhibitor Bot...
    Vohidov, Farrukh; Andersen, Jannik N; Economides, Kyriakos D; Shipitsin, Michail V; Burenkova, Olga; Ackley, James C; Vangamudi, Bhavatarini; Nguyen, Hung V.-T; Gallagher, Nolan M; Shieh, Peyton; Golder, Matthew R; Liu, Jenny; Dahlberg, William K; Ehrlich, Deborah J. C; Kim, Julie; Kristufek, Samantha L; Huh, Sung Jin; Neenan, Allison M; Baddour, Joelle; Paramasivan, Sattanathan; de Stanchina, Elisa; KC, Gaurab; Turnquist, David J; Saucier-Sawyer, Jennifer K; Kopesky, Paul W; Brady, Samantha W; Jessel, Michael J; Reiter, Lawrence A; Chickering, Donald E; Johnson, Jeremiah A; Blume-Jensen, Peter

    Journal of the American Chemical Society, 03/2021, Letnik: 143, Številka: 12
    Journal Article

    Prodrugs engineered for preferential activation in diseased versus normal tissues offer immense potential to improve the therapeutic indexes (TIs) of preclinical and clinical-stage active pharmaceutical ingredients that either cannot be developed otherwise or whose efficacy or tolerability it is highly desirable to improve. Such approaches, however, often suffer from trial-and-error design, precluding predictive synthesis and optimization. Here, using bromodomain and extra-terminal (BET) protein inhibitors (BETi)–a class of epigenetic regulators with proven anticancer potential but clinical development hindered in large part by narrow TIs–we introduce a macromolecular prodrug platform that overcomes these challenges. Through tuning of traceless linkers appended to a “bottlebrush prodrug” scaffold, we demonstrate correlation of in vitro prodrug activation kinetics with in vivo tumor pharmacokinetics, enabling the predictive design of novel BETi prodrugs with enhanced antitumor efficacies and devoid of dose-limiting toxicities in a syngeneic triple-negative breast cancer murine model. This work may have immediate clinical implications, introducing a platform for predictive prodrug design and potentially overcoming hurdles in drug development.