Mechanistic Modeling of Radium-223 Treatment of Bone Metastases

Abstract

Purpose: Despite the effectiveness of ²²³RaCl₂ for treating patients with symptomatic bone metastatic disease, its mechanisms of action are still unclear. Even established dosimetric approaches differ considerably in their conclusions. In silico tumor models bring a new perspective to this situation because they can quantitatively simulate the interaction of α-particles with the target(s). Here, we investigated 3 different mathematical models of tumor growth that consider the radiation effect of radium-223 (²²³Ra) treatments and compared the results with clinical data.

Methods and materials: The well-established Gompertz growth model was applied to simulate metastatic tumor burden. On the basis of published measurements of ²²³Ra uptake, we have incorporated the radiation effect of α-particles into the model and investigated 3 radium distribution scenarios-uniform exposure, exposure of only an outer layer, and exposure of a constant volume of the tumor. For each scenario, the times for various tumor stages to progress to the first symptomatic skeletal event were calculated.

Results: Uniform and outer-layer exposure scenarios showed very poor agreement with the Kaplan-Meier patient curves from clinical data. However, the constant-volume effect predicted outcomes very similar to the observed clinical results, suggesting, depending on the dose rate, that relatively small fractions of the cell population see damage from ²²³Ra.

Conclusions: The commonly used assumption of uniform ²²³Ra distribution does not accurately reflect clinical responses. The suggestion that only a subpopulation of the tumor might be affected by ²²³Ra shows a pressing need to further study the tumor and drug kinetics to schedule more effective treatments in the future.