Metabolism of patupilone in patients with advanced solid tumor malignancies.

A phase 1, open-label, non-randomized, single center study was conducted to determine the pharmacokinetics, distribution, metabolism, elimination, and mass balance of patupilone in patients with advanced solid tumors. Five patients with advanced solid tumors received 10 mg/m(2) (1.1 MBq) of (14) C-radiolabeled patupilone at cycle 1 as a 20-minute intravenous infusion every 3 weeks until disease progression. Sequential samples of blood/plasma were taken for 3 weeks and urine and fecal samples were collected for seven days after the first dose of patupilone. Patupilone blood levels decreased rapidly after the infusion. The compound showed a large volume of distribution (Vss: 2242 L). The main radiolabeled component in blood was patupilone itself, accompanied by the lactone hydrolysis products that are unlikely to contribute to the pharmacological effect of patupilone. The blood clearance of patupilone was relatively low at 14 L/h. The administered radioactivity dose was excreted slowly (46 % of dose up to 168 h) but ultimately accounted for 91 % of the dose by extrapolation. The fecal excretion of radioactivity was 2-3 times higher than the urinary excretion consistent with hepato-biliary elimination. Three patients had progressive disease and two patients had stable disease as their best response. Patupilone was generally well tolerated in patients with advanced solid tumors with no newly occurring safety events compared to previous clinical studies. In adult solid tumor patients, intravenous radiolabeled patupilone undergoes extensive metabolism with fecal excretion of radioactive metabolites predominating over renal excretion.

Interdependence of baseline correction method and covariance structure for crossover TQT studies.

Thorough QT/QTc (TQT) trials are conducted to assess a drug's risk potential for prolonging the QT interval. In a randomized crossover, multiple postdose electrocardiograph (ECG) readings are collected over time, within each period leading to a repeated-measures scenario. Additionally, baseline readings at single or multiple time points are collected prior to treatment. Two active, yet seemingly separate, areas of statistical research for TQT crossover studies concern the method of baseline correction and the specified covariance structure for repeated measures analysis. Due to interdependence of the covariance structure of baseline-corrected QTc values and the definition of baseline, these two research areas cannot be considered separately. We illustrate how the covariance structure for baseline-corrected QTc values differs under various definitions of baseline and provide recommendations on the choice of baseline: Time-matched baseline averaged over periods and time-matched baseline from the first period only are preferable in terms of efficiency; in case a period-specific correction is required to account for the treatment carryover effect, period-specific time-averaged baseline with multiple measurements taken predose in each period offers greater efficiency than a single predose baseline. This research on the interdependence of baseline correction method and covariance structure enables statisticians to use observed data from previous TQT studies to plan design and analysis for future studies.

A flexible class of models for data arising from a 'thorough QT/QTc study'.

The standard methods for analyzing data arising from a 'thorough QT/QTc study' are based on multivariate normal models with common variance structure for both drug and placebo. Such modeling assumptions may be violated and when the sample sizes are small, the statistical inference can be sensitive to such stringent assumptions. This article proposes a flexible class of parametric models to address the above-mentioned limitations of the currently used models. A Bayesian methodology is used for data analysis and models are compared using the deviance information criteria. Superior performance of the proposed models over the current models is illustrated through a real dataset obtained from a GlaxoSmithKline (GSK) conducted 'thorough QT/QTc study'.

Operating Room Stencil: A Novel Mobile Application for Surgical Planning.

The techniques used to make preoperative markings before soft tissue reconstruction have remained relatively unchanged since the earliest years of plastic surgery. Using skin-marking pens, many surgeons continue to draw markings freehand as "best estimates" before their first incisions. Although efficient for the experienced surgeon, this strategy may prove challenging for residents and trainees striving to learn and maintain consistency while replicating the intricate geometries of flap markings. To address this need, Operating Room Stencil was developed as a novel tool for digitally planning flap markings that may then be projected onto contoured surfaces such as the human body. As a cost-free mobile application, Operating Room Stencil is widely accessible to the medical community and offers educational captions for a majority of the flaps featured in its database. Users can plot relaxed skin tension lines onto uploaded facial images, thus enabling surgeons to orient surgical markings in a way that optimizes scar formation and reduces wound contraction. Although originally intended to appeal to trainees as a reliable way to learn about flaps and practice their technique, Operating Room Stencil may prove useful even among more experienced surgeons striving to further perfect their visualization and execution of flap markings.

Sample size calculations for crossover thorough QT studies: satisfaction of regulatory threshold and assay sensitivity.

The cost for conducting a "thorough QT/QTc study" is substantial and an unsuccessful outcome of the study can be detrimental to the safety profile of the drug, so sample size calculations play a very important role in ensuring adequate power for a thorough QT study. Current literature offers some help in designing such studies, but these methods have limitations and mostly apply only in the context of linear mixed models with compound symmetry covariance structure. It is not evident that such models can satisfactorily be employed to represent all kinds of QTc data, and the existing literature inadequately addresses whether there is a change in sample size and power for more general covariance structures for the linear mixed models. We assess the use of some of the existing methods to design a thorough QT study through data arising from a GlaxoSmithKline (GSK)-conducted thorough QT study, and explore newer models for sample size calculation. We also provide a new method to calculate the sample size required to detect assay sensitivity with adequate power.

A drug-drug interaction study to assess the effect of the CYP1A2 inhibitor fluvoxamine on the pharmacokinetics of dovitinib (TKI258) in patients with advanced solid tumors.

PURPOSE: Dovitinib is an orally available multi tyrosine kinase inhibitor which inhibits VEGFR 1-3, FGFR 1-3, and PDGFR. This study was performed to investigate the potential drug-drug interaction of dovitinib with the CYP1A2 inhibitor fluvoxamine in patients with advanced solid tumors. METHODS: Non-smoking patients of ≥ 18 years with advanced solid tumors, excluding breast cancer, were included. Patients were treated with a dose of 300 mg in 5 days on/2 days off schedule. Steady-state pharmacokinetic assessments of dovitinib were performed with or without fluvoxamine. RESULTS: Forty-five patients were enrolled; 24 were evaluable for drug-drug interaction assessment. Median age was 60 years (range 30-85). At steady state the geometric mean for dovitinib (coefficient of variation%) of the area under the plasma concentration-time curve (AUC0-72h) and maximum concentration (C max) were 2880 ng/mL h (47%) and 144 ng/mL (41%), respectively. Following administration of dovitinib in combination with fluvoxamine the geometric mean of dovitinib AUC0-72h and C max were 8290 ng/mL h (60%) and 259 ng/mL (45%), respectively. The estimated geometric mean ratios for dovitinib AUC0-72h and C max (dovitinib + fluvoxamine vs. dovitinib alone) were 2.88 [90% confidence interval (CI) 2.58, 3.20] and 1.80 (90% CI 1.66, 1.95). This effect is considered a moderate drug-drug interaction. CONCLUSIONS: Fluvoxamine co-administration resulted in a 80% increase in C max and a 188% increase in AUC0-72h of dovitinib. Given the increase in exposure to dovitinib observed, patients are at risk of dovitinib related toxicity. Dovitinib should, therefore, not be co-administered with moderate and strong CYP1A2 inhibitors, without dose reduction.

Physiographic and entomologic risk factors of malaria in Assam, India.

Fever surveys were conducted in several districts of the Indian state of Assam to ascertain the prevalence of malaria in relation to vector abundance, entomologic inoculation rates (EIRs), and geographic location of human settlements. Anopheles minimus were incriminated, but their relative abundance and biting rates varied among districts, and no significant correlation was observed between these two indicators (r = 0.43, P = 0.34). Plasmodium falciparum was the predominant parasite species except in two districts where P. vivax was the majority parasite. The EIRs per person/night were 0.46-0.71 in P. falciparum-predominant areas and 0.12 in the district where P. vivax predominated. The correlation of percentage of fever cases positive for malaria infection in each district with the corresponding EIR was not significant (r = 0.6, P = 0.21). Malaria cases were detected in all months of the year but peaked during May-June, which corresponded to the months of heavy rainfall. These were also the months with highest incidence of infection with P. falciparum. Malaria cases were observed in all age groups of both sexes, and there was clustering of cases in villages near the vector-breeding habitat (perennial seepage streams), and foothill villages. However, malaria incidences were consistently lower in villages within 5 km of the nearest health care facility, which were in town areas. The data presented are indicative of low-to-moderate levels of malaria transmission by An. minimus, and would be of value for developing future intervention strategies.

Disposition and metabolism of 14C-dovitinib (TKI258), an inhibitor of FGFR and VEGFR, after oral administration in patients with advanced solid tumors.

PURPOSE: This study investigated the metabolism and excretion of dovitinib (TKI258), a tyrosine kinase inhibitor that inhibits fibroblast, vascular endothelial, and platelet-derived growth factor receptors, in patients with advanced solid tumors. METHODS: Four patients (cohort 1) received a single 500 mg oral dose of (14)C-dovitinib, followed by the collection of blood, urine, and feces for ≤10 days. Radioactivity concentrations were measured by liquid scintillation counting and plasma concentrations of dovitinib by liquid chromatography-tandem mass spectrometry. Both techniques were applied for metabolite profiling and identification. A continuous-dosing extension phase (nonlabeled dovitinib 400 mg daily) was conducted with the 3 patients from cohort 1 and 9 additional patients from cohort 2. RESULTS: The majority of radioactivity was recovered in feces (mean 61 %; range 52-69 %), as compared with urine (mean 16 %; range 13-21 %). Only 6-19 % of the radioactivity was recovered in feces as unchanged dovitinib, suggesting high oral absorption. (14)C-dovitinib was eliminated predominantly via oxidative metabolism, with prominent primary biotransformations including hydroxylation on the fluorobenzyl ring and N-oxidation and carbon oxidation on the methylpiperazine moiety. Dovitinib was the most prominent radioactive component in plasma. The high apparent volume of distribution (2,160 L) may indicate that dovitinib distributes extensively to tissues. Adverse events were predominantly mild to moderate, and most common events included nausea, vomiting, constipation, diarrhea, and fatigue. CONCLUSIONS: Dovitinib was well absorbed, extensively distributed, and eliminated mainly by oxidative metabolism, followed by excretion, predominantly in feces. The adverse events were as expected for this class of drug.

Pharmacokinetics and antitumor activity of patupilone combined with midazolam or omeprazole in patients with advanced cancer.

PURPOSE: Patupilone is a novel microtubule-targeting cytotoxic agent with potential interaction with CYP3A4/CYP2C19 enzymes. Midazolam and omeprazole are primarily metabolized by CYP3A4 and CYP2C19, respectively. We evaluated the inhibitory effects of patupilone on the CYP3A4/CYP2C19 pathways. METHODS: This study had 2 parts: in an initial core phase, patients were randomly assigned to receive midazolam 4 mg or omeprazole 40 mg PO (days 1 and 29) and patupilone 10 mg/m(2) IV (days 8 and 29). Patients without progression continued patupilone every 3 weeks until disease progression or unacceptable toxicity (extension phase). RESULTS: Forty-six patients were treated. The areas under the concentration-time curves (AUC)s of midazolam with or without patupilone co-administration were similar. The C (max) of midazolam when co-administered with patupilone was highly variable and was lower compared with midazolam alone; however, the oral clearance and terminal half-lives were similar. Both the C (max) and AUC of omeprazole when co-administered with patupilone were highly variable and lower than with omeprazole alone. However, the oral clearance and terminal half-lives were similar. The latter data suggest that patupilone decreased the absorption of omeprazole (by ~20%). The overall safety profile was consistent with that of previous single-agent patupilone studies; 2 partial responses (ovarian and pancreatic cancer) and 1 complete response (serous ovarian adenocarcinoma) were observed. CONCLUSIONS: Patupilone was not a potent CYP3A4 or CYP2C19 inhibitor. No dose adjustment is required when omeprazole or midazolam is used in patients treated with patupilone. Patupilone exhibited promising antitumor activity in heavily pretreated patients with ovarian and pancreatic cancer.

A Bayesian Approach for Investigating the Risk of QT Prolongation.

The standard approach to investigating a drug for its potential for QT prolongation is to construct a 90% two-sided (or a 95% one-sided) confidence interval (CI), for the difference in baseline corrected mean QTc (heart-rate corrected version of QT) between drug and placebo at each time-point, and to conclude non-inferiority if the upper limit for each CI is less than a pre-specified constant. An alternative approach is to base the non-inferiority inference on the largest difference in population mean QTc (baseline corrected) between drug and placebo. In this paper, we propose a Bayesian approach to resolving this problem using a Monte Carlo simulation method. We use simulated data to assess the performance of the proposed approach, discuss its advantages over the standard approach, and illustrate the method by applying it to a real data set obtained from a thorough QT study conducted at GlaxoSmithKline (GSK).