Cost-Neutral Optimization of Pazopanib Exposure by Splitting Intake Moments: A Prospective Pharmacokinetic Study in Cancer Patients.

BACKGROUND AND OBJECTIVE: Pazopanib is an oral tyrosine kinase inhibitor used in the treatment of renal cell carcinoma and soft-tissue sarcoma. At the approved dose of 800 mg once daily (QD), 16-20% of patients are being underdosed and at risk of decreased efficacy. This study aimed to show whether splitting intake moments, as a cost-neutral alternative to a dose increase, leads to an increased exposure. METHODS: We performed a cross-over trial comparing the pharmacokinetics of pazopanib 800 mg QD with pazopanib 400 mg twice daily. Pharmacokinetic sampling was performed at steady-state for both dosing schedules. RESULTS: Nine evaluable patients were included. At the 800 mg QD dosing schedule, median minimum plasma concentration (Cmin), area under the concentration-time curve from 0 to 24 h (AUC0-24h), and maximum plasma concentration (Cmax) were 23.2 mg/L (interquartile range 18.5-27.6), 773 mg h/L (557-1009), and 40.6 mg/L (36.4-56.4) compared with 41.6 mg/L (30.5-55.8, p = 0.004), 942 mg h/L (885-1419, p = 0.027), and 50.2 mg/L (46.8-72.5, p = 0.074) at 400 mg twice daily. One patient experienced a grade 3 event (i.e., diarrhea). CONCLUSIONS: This study demonstrates that splitting intake moments of pazopanib leads to a 79% increase in Cmin, with acceptable tolerability. Therefore, this new dosing schedule offers a cost-neutral opportunity to optimize treatment in patients with low exposure. CLINICAL TRIAL REGISTRATION: NL6137 ( http://www.trialregister.nl ).

Practical strategies when using a stable isotope labeled microtracer for absolute bioavailability assessment: A case study of a high oral dose clinical candidate GDC-0810.

The pH labile metabolite, hydrophobicity, high oral dose and systematic exposure of GDC-0810 posed tremendous challenges to develop a LC-MS method for a stable isotope labeled aBA study. In this study, we explored practical solutions to balance stability and sensitivity and to cope with the impact of high Cp.o. to Ci.v. ratio on the labeling selection and assay dynamic range. A [13C9] GDC-0810 was synthesized to minimize the isotopic interference between PO dose, internal standard and I.V. microtracer. A highly sensitive LC-MS assay was validated for quantitation of [13C9] GDC-0810 from 5 to 1250 pg/mL. The optimized method was applied to a proof of concept cynomolgus monkey aBA study and the bioavailability calculated using microtracer dosing and regular dosing were similar to each other.

Distribution of the phosphatidylinositol 3-kinase inhibitors Pictilisib (GDC-0941) and GNE-317 in U87 and GS2 intracranial glioblastoma models-assessment by matrix-assisted laser desorption ionization imaging.

Glioblastoma multiforme (GBM) is the most common primary brain tumor in adults, and the limited available treatment options have not meaningfully impacted patient survival in the past decades. Such poor outcomes can be at least partly attributed to the inability of most drugs tested to cross the blood-brain barrier and reach all areas of the glioma. The objectives of these studies were to visualize and compare by matrix-assisted laser desorption ionization (MALDI) imaging mass spectrometry the brain and tumor distribution of the phosphatidylinositol 3-kinase (PI3K) inhibitors pictilisib (GDC-0941, 2-(1H-indazol-4-yl)-6-(4-methanesulfonyl-piperazin-1-ylmethyl)-4-morpholin-4-yl-thieno[3,2-d]pyrimidine) and GNE-317 [5-(6-(3-methoxyoxetan-3-yl)-7-methyl-4-morpholinothieno[3,2-d]pyrimidin-2-yl)pyrimidin-2-amine] in U87 and GS2 orthotopic models of GBM, models that exhibit differing blood-brain barrier characteristics. Following administration to tumor-bearing mice, pictilisib was readily detected within tumors of the contrast-enhancing U87 model whereas it was not located in tumors of the nonenhancing GS2 model. In both GBM models, pictilisib was not detected in the healthy brain. In contrast, GNE-317 was uniformly distributed throughout the brain in the U87 and GS2 models. MALDI imaging revealed also that the pictilisib signal varied regionally by up to 6-fold within the U87 tumors whereas GNE-317 intratumor levels were more homogeneous. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) analyses of the nontumored half of the brain showed pictilisib had brain-to-plasma ratios lower than 0.03 whereas they were greater than 1 for GNE-317, in agreement with their brain penetration properties. These results in orthotopic models representing either the contrast-enhancing or invasive areas of GBM clearly demonstrate the need for whole-brain distribution to potentially achieve long-term efficacy in GBM.

Combined use of pharmacokinetic modeling and a steady-state delivery approach allows early assessment of IkappaB kinase-2 (IKK-2) target safety and efficacy.

NF-kappaB activation is clearly linked to the pathogenesis of multiple inflammatory diseases including arthritis. The prominent role of IkappaB kinase-2 (IKK-2) in regulating NF-kappaB signaling in response to proinflammatory stimuli has made IKK-2 a primary anti-inflammation therapeutic target. PHA-408, a potent and selective IKK-2 inhibitor, was identified internally and used for our studies to assess this target. In early in vivo studies, PHA-408 demonstrated efficacy at high doses; however, the correlation between PHA-408 exposure and efficacy could not be established using standard dosing paradigms for the rat disease models. Similar concerns arose from early in vivo safety studies where appropriate NOAEL margins were not achieved. Following a full investigation of the physicochemical properties of the molecule and pharmacokinetic modeling, an oral steady-state delivery strategy was designed to administer PHA-408 to the rat for both efficacy and safety studies. Using this steady-state delivery, a clear dose-response relationship was established between plasma concentrations of PHA-408 and efficacy in the rat arthritis model. The same steady-state delivery approach was used to demonstrate the target safety. In summary, a combination of pharmacokinetic modeling with a steady-state delivery approach allowed us to establish confidence in both the mechanism and safety of the target.