A method to predict response of cell populations to cocktails of chemotherapeutics and radiopharmaceuticals: Validation with daunomycin, doxorubicin, and the alpha particle emitter Po-210

作者：Akudugu John M; Howell Roger W^*

来源：Nuclear Medicine and Biology, 2012, 39(7): 954-961.

DOI：10.1016/j.nucmedbio.2012.01.011

• Radionuclide therapy
• Chemotherapy
• Monte Carlo
• Alpha particle
• Drug cocktail

There is considerable interest in the use of a-emitting radionuclides in radioimmunotherapy. However, the high toxicity of a-emitting radionuclides often does not permit administration of high activities for fear of normal tissue toxicity. Accordingly, targeting procedures need to be optimized for improved tumor control and minimized normal tissue toxicity. To guide design of effective cocktails of a-emitting radiopharmaceuticals and chemotherapy drugs, approaches that can predict biological response of a cell population on a cell-by-cell basis are needed.
Methods: Cells were concomitantly treated with the a-particle emitting radiochemical Po-210-citrate and daunomycin, or with Po-210-citrate and doxorubicin. The responses of the treated cell populations were measured with a colony forming assay. The nonuniform cellular incorporation of the radiochemical and drugs was determined simultaneously on a cell-by-cell basis using flow cytometry. Monte Carlo methods were used to simulate cell survival on the basis of individual cell incorporation of each cytotoxic agent and validated by direct comparison with the experimental clonogenic cell survival.
Results: Both daunomycin and doxorubicin enhanced the toxicity of the a-particles with a magnitude greater than expected based on single-agent toxicities. Cell survival obtained by Monte Carlo simulation was in good agreement with clonogenic cell survival for the combination treatments.
Conclusion: Flow cytometry assisted Monte Carlo simulations can be used to predict toxicity of cocktails of alpha-mitting radiopharmaceuticals and chemotherapy drugs in a manner that takes into account the effects of nonuniform distributions of agents within cell populations.

• 出版日期2012-10