Related Experiment Video
Updated: Aug 4, 2026

GC-based Detection of Aldononitrile Acetate Derivatized Glucosamine and Muramic Acid for Microbial Residue Determination in Soil
Published on: May 19, 2012
Limited sampling models for CPT-11, SN-38, and SN-38 glucuronide
J A Sloan1, P Atherton, J Reid
1Mayo Clinic and Mayo Foundation, Rochester, MN 55905, USA. jsloan@mayo.edu
Limited sampling models (LSMs) accurately predict irinotecan (CPT-11) and its metabolite AUC using only a few blood draws. These models simplify therapeutic drug monitoring for CPT-11 treatment.
Area of Science:
- Pharmacokinetics and Pharmacodynamics
- Clinical Pharmacology
- Oncology Drug Development
Background:
- Irinotecan (CPT-11) is a crucial chemotherapy agent for advanced solid tumors.
- Accurate therapeutic drug monitoring of CPT-11 and its metabolites is essential for optimizing efficacy and minimizing toxicity.
- Traditional pharmacokinetic profiling requires frequent blood sampling, which can be burdensome for patients.
Purpose of the Study:
- To develop and validate limited sampling models (LSMs) for predicting the area under the curve (AUC) of irinotecan (CPT-11).
- To establish LSMs for predicting the AUC of key CPT-11 metabolites, SN-38 and SN-38 glucuronide (SN-38G).
- To assess the accuracy and feasibility of using minimal blood samples for pharmacokinetic assessments in clinical practice.
Main Methods:
- Regression models were developed using data from a Phase I clinical trial of 34 patients with advanced solid tumors receiving CPT-11.
- Multiple stepwise and all possible subsets regression analyses were employed to identify optimal predictor variables.
- Model validation included bootstrap simulation testing to assess the robustness and generalizability of the developed LSMs.
Main Results:
- Optimal LSMs for CPT-11 AUC utilized plasma concentrations at the end of infusion and 4 hours post-infusion, with an optional inclusion of a 7.5-hour time point.
- Predicting SN-38 and SN-38G AUC required an additional metabolite concentration measurement at 48 hours post-infusion.
- The developed LSMs demonstrated high accuracy, predicting most patient AUC values within 10% of the true calculated values.
Conclusions:
- Limited sampling models can accurately predict CPT-11 AUC using only two to three plasma concentration time-points.
- Various LSM alternatives offer comparable accuracy, suggesting clinical considerations and patient burden should guide model selection.
- These findings support the potential for simplified pharmacokinetic monitoring of irinotecan therapy in clinical settings.
More Related Videos
Related Concept Videos
Drug Metabolism: Phase II Reactions
Phase II Reactions: Glucuronidation
Model Approaches for Pharmacokinetic Data: Compartment Models
Two primary types of compartment models are recognized: mammillary and catenary. The more...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...

