Abstract

Abstract CDK12 and CDK13 belong to the cyclin-dependent kinase (CDK) family, which includes at least 20 different human CDKs and CDK-like enzymes. One subclass of CDKs (e.g. CDK7, CDK8, CDK9, CDK12 and CDK13) preferentially regulates transcription by phosphorylation of the C-terminal domain of RNA polymerase II (RNAPII), whereas another subgroup of CDKs plays a pivotal role in controlling cell cycle progression (e.g. CDK1, CDK2, CDK4, CDK6 and CDK7). Both groups - cell cycle as well as transcriptional CDKs - have been reported to be involved in cancer development and progression. Recent reports indicated CDK12 to be involved in DNA damage repair mechanisms and linked its mutation to high-grade serous ovarian carcinoma rendering CDK12 a promising target for drug development. However, the pivotal role of individual CDKs and their complex regulation requests for highly selective inhibitors to avoid unwanted adverse effects. Non-specific first-generation CDK-inhibitors cause toxicity in vivo issues. They showed little to no therapeutic window in clinical trials and thus shifted the focus to the optimization of selective small molecule CDK inhibitors. To identify selective small molecular weight inhibitors of CDK12 and CDK13 we employed a rationale drug discovery approach based on a focused kinase library screen. Screening of slightly over 16.000 compounds identified several hit compound classes. Medicinal chemistry based optimization yielded nanomolar CDK12 inhibitors. The selectivity of these improved CDK12 inhibitors is excellent, when tested against 12 CDK family members. Such selective CDK12 inhibitors have also shown promising physicochemical properties, indicating lead- and drug-likeness. Although, potency on the target still needs to be improved, the frontrunners from our selective CDK12 inhibitor family have shown cellular inhibition of CDK12 substrate phosphorylation such as those of RNA polymerase II. Currently, potency of these CDK12 inhibitors is being improved by using structure-guided medicinal chemistry-based optimization. The resulting lead candidates will then be tested in in vivo cancer models. Citation Format: Axel Choidas, Carsten Schultz-Fademrecht, Carsten Degeenhardt, Peter Habenberger, Uwe Koch, Jan E. Eickhoff, Ann Kathrin Greifenberg, Peter Nussbaumer, Matthias Geyer, Bert M. Klebl. Identification of highly selective inhibitors of cyclin-dependent kinase 12. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2823.

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