Abstract
Purpose: Radioimmunotherapy (RIT) using 131I-3F8 injected into cerebrospinal fluid (CSF) was a safe modality for the treatment of leptomeningeal metastases (JCO, 25:5465, 2007). A single-compartment pharmacokinetic model described previously (JNM 50:1324, 2009) showed good fitting to the CSF radioactivity data obtained from patients. We now describe a two-compartment model to account for the ventricular reservoir of 131I-3F8 and to identify limiting factors that may impact therapeutic ratio. Methods: Each parameter was examined for its effects on (1) the area under the radioactivity concentration curve of the bound antibody (AUC[C IAR]), (2) that of the unbound antibody AUC[CIA], and (3) their therapeutic ratio (AUC[CIAR]/AUC[CIA]). Results: Data fitting showed that CSF kBq/ml data fitted well using the two-compartment model (R=0.95±0.03). Correlations were substantially better when compared to the one-compartment model (R=0.92±0.11 versus 0.77±0.21, p=0.005). In addition, we made the following new predictions: (1) Increasing immunoreactivity of 131I-3F8 from 10% to 90% increased both (AUC[CIAR]) and therapeutic ratio ([AUC[CIAR]/AUC[C IA]] by 7.4 fold, (2) When extrapolated to the clinical setting, the model predicted that if 131I-3F8 could be split into 4 doses of 1.4 mg each and given at ≥24 hours apart, an antibody affinity of KD of 4×10-9 at 50% immunoreactivity were adequate in order to deliver ≥100 Gy to tumor cells while keeping normal CSF exposure to <10 Gy. Conclusions: This model predicted that immunoreactivity, affinity and optimal scheduling of antibody injections were crucial in improving therapeutic index.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 334-342 |
| Number of pages | 9 |
| Journal | European Journal of Nuclear Medicine and Molecular Imaging |
| Volume | 38 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2011 |
| Externally published | Yes |
Keywords
- 3F8
- Cerebrospinal fluid
- Intra-Ommaya
- Optimization
- Pharmacokinetics
- Radioimmunotherapy
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
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