Control of the cell cycle through selective pharmacological inhibition of CDK4/6 has proven beneficial in the treatment of breast cancer. Extending this level of control to additional cell cycle CDK isoforms represents an opportunity to expand to additional tumor types and potentially provide benefits to patients that develop tumors resistant to selective CDK4/6 inhibitors. However, broad-spectrum CDK inhibitors have a long history of failure due to safety concerns. In this approach, we describe the use of structure-based drug design and Free−Wilson analysis to optimize a series of CDK2/4/6 inhibitors. Further, we detail the use of molecular dynamics simulations to provide insights into the basis for selectivity against CDK9. Based on overall potency, selectivity, and ADME profile, PF-06873600 (22) was identified as a candidate for the treatment of cancer and advanced to phase 1 clinical trials.
The translation of nonclinical oncology studies is a subject of continuous debate. We propose that translational oncology studies need to optimize both pharmacokinetic (drug exposure) and pharmacodynamic (xenograft model) aspects. While improvements in pharmacodynamic translatability can be obtained by choosing cell lines or patient-derived xenograft models closer to the clinical indication, significant ambiguity and variability exists when optimizing the pharmacokinetic translation of small molecule and biotherapeutic agents. In this work, we propose a pharmacokinetic-based strategy to select nonclinical doses for approved drug molecules. We define a clinically relevant dose (CRD) as the dosing regimen in mice that most closely approximates the relevant pharmacokinetic metric in humans. Such metrics include area under the time-concentration curve and maximal or minimal concentrations within the dosing interval. The methodology is applied to six drugs, including targeted agents and chemotherapeutics, small and large molecules (erlotinib, dasatinib, vismodegib, trastuzumab, irinotecan, and capecitabine). The resulting efficacy response at the CRD is compared with clinical responses. We conclude that nonclinical studies designed with the appropriate CRDs of approved drug molecules will maximize the translatability of efficacy results, which is critical when testing approved and investigational agents in combination. .
The phosphoinositide
3-kinase (PI3K)/mammalian target of rapamycin
(mTOR) signaling pathway is a frequently dysregulated pathway in human
cancer, and PI3Kα is one of the most frequently mutated kinases
in human cancer. A PI3Kα-selective inhibitor may provide the
opportunity to spare patients the side effects associated with broader
inhibition of the class I PI3K family. Here, we describe our efforts
to discover a PI3Kα-selective inhibitor by applying structure-based
drug design (SBDD) and computational analysis. A novel series of compounds,
exemplified by 2,2-difluoroethyl (3S)-3-{[2′-amino-5-fluoro-2-(morpholin-4-yl)-4,5′-bipyrimidin-6-yl]amino}-3-(hydroxymethyl)pyrrolidine-1-carboxylate
(1) (PF-06843195), with high PI3Kα potency and
unique PI3K isoform and mTOR selectivity were discovered. We describe
here the details of the design and synthesis program that lead to
the discovery of 1.
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