| Literature DB >> 35355137 |
Sören Büsker1, Walter Jäger2, Stefan Poschner2, Lisa Mayr3, Valentin Al Jalali4, Johannes Gojo3, Amedeo A Azizi3, Sami Ullah1, Muhammad Bilal1,5, Lobna El Tabei1, Uwe Fuhr1, Andreas Peyrl6.
Abstract
PURPOSE: Although temozolomide is widely used in the treatment of childhood central nervous system (CNS) tumors, information on its pharmacokinetic profile in the brain or cerebrospinal fluid (CSF) is sparse. This study aimed at investigating whether measurable and clinically relevant concentrations of temozolomide are reached and maintained in CSF for continuous oral administration in pediatric patients. A population pharmacokinetic model was developed to quantify CSF penetration of temozolomide.Entities:
Keywords: Central nervous system; Cerebrospinal fluid; Pediatrics; Pharmacokinetic; Temozolomide
Mesh:
Substances:
Year: 2022 PMID: 35355137 PMCID: PMC9054874 DOI: 10.1007/s00280-022-04424-4
Source DB: PubMed Journal: Cancer Chemother Pharmacol ISSN: 0344-5704 Impact factor: 3.288
Summary of demographic and clinical characteristics of the patients
| Characteristic | Number of patients |
|---|---|
| Gender (male/female) | 8/3 |
| Recurrent medulloblastoma | 6 |
| Recurrent ependymoma | 5 |
| Median (range) | |
| Age (years) | 9.5 (4–14) |
| Weight (kg) | 26.65 (19.4–58) |
| Height (cm) | 128 (101.3–163) |
| BSAa (m2) | 0.98 (0.77–1.62) |
aBSA body surface area = (height (cm) × weight (kg) / 3600)0.5
Fig. 1Observed concentration–time profiles of temozolomide in plasma (a) and CSF (b)
Fig. 2Structure of the final two-compartment model for temozolomide. K first-order absorption rate constant, CL clearance, V volume of distribution in the central compartment, CSF cerebrospinal fluid, VCSF volume of distribution in the CSF, Q intercompartmental clearance between the central compartment and the CSF, KTR transit rate
Parameter estimates of temozolomide obtained from the final model
| Parameter | Point estimate | Bootstrap median (95% CIa) | RSE%i |
|---|---|---|---|
| Kab (h−1) | 9.64 | 9.55 (6.94–11.90) | 13.33 |
| CLc (liter/h) | 3.29 | 3.14 (2.58–3.95) | 10.46 |
| Vcd (liter) | 10.5 | 10.54 (8.17–14.32) | 15.82 |
| VCSFe (liter) | 0.09 FIXED | ||
| Qf (liter/h) | 0.0327 | 0.031 (0.014–0.038) | 18.21 |
| KTRg (h−1) | 0.983 | 0.98 (0.534–1.22) | 15.23 |
| CL | 8.3% | 8.2 (0.84–26.0) | 150.02 |
| Proportional error, plasma | 0.0911 | 0.0837 (0.005–0.169) | 43.54 |
| Additive error, plasma | 0.0722 | 0.0717 (0.004–0.157) | 55.48 |
| Proportional error, CSF | 0.126 | 0.125 (0.035–0.204) | 35.78 |
| Additive error, CSF | 0.0019 | 0.0019 (0.000003–0.0055) | 96.23 |
aCI confidence interval
bK absorption rate constant for first-order absorption
cCL clearance
dV volume of distribution in the central compartment
eVCSF volume of distribution in the CSF
fQ intercompartmental clearance
gKTR transit rate between CSF and the central compartment
hCV% coefficient of variation in percent
iRSE% relative standard error in percent
Fig. 3Goodness-of-fit plots for the final model. Population predicted concentrations versus observed concentrations in plasma (a) and CSF (c). Individual predicted concentrations versus observed concentrations in plasma (b) and CSF (d). Solid black lines represent lines of identity, dashed lines indicate locally weighted smoothing lines
Fig. 4Goodness-of-fit plots for the final model. Population predicted concentrations versus conditional weighted residuals in plasma (a) and CSF (c). Time after last dose versus conditional weighted residuals in plasma (b) and CSF (d). Solid black lines represent lines of zero residuals, dashed lines indicate locally weighted smoothing lines
Fig. 5Confidence interval visual predictive check (n = 1000) for the final model in plasma (a) and CSF (b). Solid dots represent observed concentrations. Black solid lines represent the median while dashed lines show the 5th and 95th percentile of observed concentrations. Shaded areas are the model-predicted 95% CIs for the median (blue), and 5th and 95th percentile (grey) from 1000 simulated datasets