A. Loh et al., PHARMACOKINETIC MODEL OF IODINE-131-G250 ANTIBODY IN RENAL-CELL CARCINOMA PATIENTS, The Journal of nuclear medicine, 39(3), 1998, pp. 484-489
A model that describes the pharmacokinetic distribution of I-131-label
ed G250 antibody is developed, Methods: Previously collected pharmacok
inetic data from a Phase I-II study of I-131-G250 murine antibody agai
nst renal cell carcinoma were used to develop a mathematical model des
cribing antibody clearance from serum and the whole body, Survey meter
measurements, obtained while the patient was under radiation precauti
ons, and imaging data, obtained at later times, were combined to evalu
ate whole-body clearance kinetics over an extended period, Results: A
linear two-compartment model was found to provide good fits to the dat
a. The antibody was injected into Compartment 1, the initial distribut
ion volume (V-d) of the antibody, which included serum. The antibody e
xchanged with the rest of the body, Compartment 2, and was eventually
excreted, Data from 13 of the 16 patients fit the model with unique pa
rameters; the maximum, median and minimum values for model-derived V-d
were 6.3, 3.7 and 2.11, respectively. The maximum, median and minimum
values for the excretion rate were 8 x 10(-2), 2.4 x 10(-2) and 1.3 x
10(-2) hr(-1), respectively, Parameter sensitivity analysis showed th
at a change in the transfer rate constant from serum to the rest of th
e body had the greatest effect on serum cumulative activity and that t
he rate constant for excretion had the greatest effect on whole-body c
umulative activity, Conclusion: A linear two-compartment model was ade
quate in describing the serum and whole-body kinetics of G250 antibody
distribution, The median initial distribution volume predicted by the
model was consistent with the nominal value of 3.81, A wide variabili
ty in fitted parameters was observed among patients, reflecting the di
fferences in individual patient clearance and exchange kinetics of G25
0 antibody. By selecting median parameter values, such a model may be
used to evaluate and design prolonged multiple administration radioimm
unotherapy protocols.