Objectives.The aim of this work is to evaluate energy deposition in the nucleus and cytoplasm in targeted alpha therapy of metastatic castration-resistant prostate cancer by modeling two cell lines, PC3 (osteolytic) and LNCaP C4-2 (osteoblastic), for actinium-225, astatine-211, and radium-223 and their progeny, using Monte Carlo simulations with the GATE/Geant4 code.Approach.We developed single cell and cell clusters models to Monte Carlo simulations, performed on the GATE platform version 9.3, with the GEANT4-DNA physics list emstandard_opt3_mixed_dna for At-211, Ac-225 and Ra-223 progenies. We considered three radionuclide distributions as a sources: the nucleus, the cytoplasm and the whole cell.Main results.When the nucleus was considered as a target, theS-values (N←N) calculated for At-211, Ac-225 and Ra-223 progenies were significantly higher, within 60%-90%, thanS-values (N←Cy), demonstrating less influence of cytoplasm only internalization. When the cytoplasm was considering as a target, theS-values (Cy←Cy) calculated for At-211, Ac-225 and Ra-223 progeny were significantly higher, within 30%-90%, than theS-values (Cy←N). When no progeny migration occurs and for target nucleus , the cumulativeS-values (N←N) calculated for At-211, Ac-225 and Ra-223 were significantly higher, within 50%-70%, than theS-values (N←N) computed for At-211, Ac-225, and Ra-223. Comparing the cumulativeS-values, Ac-225 and Ra-223 therapies is more effective, in terms of deposited energy in a target, than that with At-211.Significance.The data presented in this research indicates that Ac-225 therapy may be the optimum choice due to the energy deposited in the nucleus, as long as the recoil effects and redistribution of progeny are understood. In contrast, At-211 is an alternative to avoid progeny migration. However, to completely analyze the efficacy of radionuclide therapy, other parameters must be considered, such as biological half-life, stability of the transport molecule, progeny migration, excretion pathways, and uptake in different organs.
Keywords: GATE simulations; alpha-emitters radionuclides; cellular s-value; radiopharmaceutical therapy.
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