Novel inhibition of PIM2 kinase has significant anti-tumor efficacy in multiple myeloma.

The PIM kinase family (PIM1, 2 and 3) have a central role in integrating growth and survival signals, and are expressed in a wide range of solid and hematological malignancies. We now confirm that PIM2 is overexpressed in multiple myeloma (MM) patients, and within MM group it is overexpressed in the high-risk MF subset (activation of proto-oncogenes MAF/MAFB). This is consistent with our finding of PIM2's role in key signaling pathways (IL-6, CD28 activation) that confer chemotherapy resistance in MM cells. These studies have identified a novel PIM2-selective non-ATP competitive inhibitor (JP11646) that has a 4 to 760-fold greater suppression of MM proliferation and viability than ATP-competitive PIM inhibitors. This increased efficacy is due not only to the inhibition of PIM2 kinase activity, but also to a novel mechanism involving specific downregulation of PIM2 mRNA and protein expression not seen with the ATP competitive inhibitors. Treatment with JP11646 in xenogeneic myeloma murine models demonstrated significant reduction in tumor burden and increased median survival. Altogether our findings suggest the existence of previously unrecognized feedback loop(s) where PIM2 kinase activity regulates PIM2 gene expression in malignant cells, and that JP11646 represents a novel class of PIM2 inhibitors that interdicts this feedback.

Bridging Sunitinib Exposure to Time-to-Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker.

Hepatocellular carcinoma (HCC) is third in cancer-related causes of death worldwide and its treatment is a significant unmet medical need. Sunitinib is a selective tyrosine kinase inhibitor of the angiogenic biomarker: soluble vascular endothelial growth factor receptor-2 (sVEGFR2 ). Sunitinib failed its primary overall survival endpoint in patients with advanced HCC in a phase III trial compared to sorafenib. In the present study, pharmacokinetic-pharmacodynamic modeling was used to link drug-exposure to tumor-growth-inhibition (TGI) and time-to-tumor progression (TTP) through sVEGFR2 dynamics. The results suggest that 1) active drug concentration (i.e., sunitinib and its metabolite) inhibits the release of sVEGFR2 and that such inhibition is associated with TGI, and 2) daily sVEGFR2 exposure is likely a reliable predictor for the TTP in HCC patients. Moreover, the model quantitatively links the dynamics of an angiogenesis biomarker to TTP and accurately predicts observed literature-reported results of placebo treatment.

Paclitaxel pharmacodynamics: application of a mechanism-based neutropenia model.

Antineoplastic agents exert adverse effects that impact both dose and scheduling of drug administration. Our objective was to develop a quantitative relationship between paclitaxel (taxol) exposure and pharmacodynamic endpoints, such as neutropenia or body weight loss. Paclitaxel in liposomes or Cremophor EL was administered to rats at doses of 20 or 40 mg/kg. Body weight and absolute neutrophil count were determined daily. The decrease in body weight was greater for paclitaxel in Cremophor EL than for liposomal paclitaxel, but hematological toxicity was similar. The hematological data was fit using a pharmacodynamic model to investigate the temporal delay between drug exposure and neutropenia. From the model, the lifespan of neutrophils (T(N)), of surviving precursor cells in bone marrow (T(P)), and a killing rate constant (K) were determined. The values of T(N), T(P), and K for liposomal paclitaxel were 95 h, 82 h, and 0.735 (microM h)(-1), respectively, and for paclitaxel in Cremophor EL, 86 h, 78 h, and 0.475 (microM h)(-1), respectively. Simulations of various doses indicated a dependency of the neutropenia time course on paclitaxel exposure. The entire time course of changes in neutrophil count is more informative than a single measurement if myelosuppression is prolonged and at a level associated with increased incidence of clinical adverse effects.