Selective CDK2 inhibitors have the potential to provide effective therapeutics for CDK2-dependent cancers and for combating drug resistance due to high cyclin E1 (CCNE1) expression intrinsically or CCNE1 amplification induced by treatment of CDK4/6 inhibitors. Generative models that take advantage of deep learning are being increasingly integrated into early drug discovery for hit identification and lead optimization. Here we report the discovery of a highly potent and selective macrocyclic CDK2 inhibitor QR-6401 (23) accelerated by the application of generative models and structure-based drug design (SBDD). QR-6401 (23) demonstrated robust antitumor efficacy in an OVCAR3 ovarian cancer xenograft model via oral administration.
Cyclin-dependent kinases (CDKs) 4/6 inhibitors are a powerful class of therapeutic drugs for the treatment of advanced metastatic breast cancer. However, the currently approved CDK4/6 inhibitors palbociclib, ribociclib and abemaciclib have dose-limiting toxicities that require treatment holidays or reductions to sub-optimal doses, thus limiting full target inhibition. The residual CDK4/6 activity, together with persistent signaling through CDK2/cyclin E are among key resistant mechanisms that can compromise full clinical benefit. RGT-419B is a 3rd generation CDK inhibitor with an optimized kinase activity spectrum that has been discovered employing a Computer Accelerated Rational Design technology platform. RGT-419B has potent sub-nM CDK4 activity with desired degrees of selectivity against kinases such as CDK6, CDK9 and GSK3β to enable full target engagement with an improved safety profile. Furthermore, single digit nM CDK2 kinase activity has been incorporated into the design of RGT-419B to combat Cyclin E/CDK2-driven resistance. In vitro, RGT-419B showed more robust activity against palbociclib-resistant ER+ breast cancer cells than abemaciclib. In ER+ T47D breast cancer cells with overexpression of Cyclin E1, RGT-419B exhibited better antiproliferation activity than either abemaciclib or palbociclib. RGT-419B also demonstrated more durable in vivo tumor growth inhibition when compared with abemaciclib in an ER+ breast cancer xenograft model. The optimized kinase activity spectrum of RGT-419B provides an opportunity to treat ER+ breast cancer patients refractory to the existing CDK4/6 inhibitors, as either a single agent or in combination with other therapies. Citation Format: Zhi Xie, Jing Han, Zhilong Hu, Hu He, Xianqiang Sun, Fei Zhang, Jing Lin, Lili Yao, Xinjuan Wang, Liufeng Mei, Yangyang Liu, Guoyun Zhu, Xi Chen, Xiaotian Zhu, Wenge Zhong. Targeting resistance to current CDK4/6 therapies by RGT-419B, an inhibitor with optimized kinase activity spectrum [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS16-22.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.