Purpose: Irinotecan, the prodrug of SN-38, is extensively metabolized by cytochrome P450-3A4 (CYP3A4). A randomized trial was done to assess the utility of an algorithm for individualized irinotecan dose calculation based on a priori CYP3A4 activity measurements by the midazolam clearance test. Experimental Design: Patients were randomized to receive irinotecan at a conventional dose level of 350 mg/m2(group A) or doses based on an equation consisting of midazolam clearance, γ-glutamyltransferase, and height (group B). Pharmacokinetics and toxicities were obtained during the first treatment course. Results: Demographics of 40 evaluable cancer patients were balanced between both groups, including UGT1A1*28 genotype and smoking status. The absolute dose of irinotecan ranged from 480 to 800 mg in group A and 380 to 1,060 mg in group B. The mean absolute dose and area under the curve of irinotecan and SN-38 were not significantly different in either group (P > 0.18). In group B, the interindividual variability in the area under the curve of irinotecan and SN-38 was reduced by 19% and 25%, respectively (P > 0.22). Compared with group A, the incidence of grades 3 to 4 neutropenia was >4-fold lower in group B (45 versus 10%; P = 0.013). The incidence of grades 3 to 4 diarrhea was equal in both groups (10%). Conclusions: Incorporation of CYP3A4 phenotyping in dose calculation resulted in an improved predictability of the pharmacokinetic and toxicity profile of irinotecan, thereby lowering the incidence of severe neutropenia. In combination with UGT1A1*28 genotyping, CYP3A4 phenotype determination should be explored further as a strategy for the individualization of irinotecan treatment.

doi.org/10.1158/1078-0432.CCR-09-1526, hdl.handle.net/1765/28240
Clinical Cancer Research
Erasmus MC: University Medical Center Rotterdam

van der Bol, J., Mathijssen, R., Creemers, G.-J., Planting, A., Loos, W., Wiemer, E., … de Jonge, M. (2010). A CYP3A4 phenotype-based dosing algorithm for individualized treatment of irinotecan. Clinical Cancer Research, 16(2), 736–742. doi:10.1158/1078-0432.CCR-09-1526