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Modeling Early Radiation DNA Damage Occurring During (177)Lu-DOTATATE Radionuclide Therapy

The aim of this study was to build a simulation framework to evaluate the number of DNA double-strand breaks (DSBs) induced by in vitro targeted radionuclide therapy (TRT). This work represents the first step toward exploring underlying biologic mechanisms and the influence of physical and chemical...

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Autores principales: Tamborino, Giulia, Perrot, Yann, De Saint-Hubert, Marijke, Struelens, Lara, Nonnekens, Julie, Jong, Marion De, Konijnenberg, Mark W., Villagrasa, Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Nuclear Medicine 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051596/
https://www.ncbi.nlm.nih.gov/pubmed/34503959
http://dx.doi.org/10.2967/jnumed.121.262610
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author Tamborino, Giulia
Perrot, Yann
De Saint-Hubert, Marijke
Struelens, Lara
Nonnekens, Julie
Jong, Marion De
Konijnenberg, Mark W.
Villagrasa, Carmen
author_facet Tamborino, Giulia
Perrot, Yann
De Saint-Hubert, Marijke
Struelens, Lara
Nonnekens, Julie
Jong, Marion De
Konijnenberg, Mark W.
Villagrasa, Carmen
author_sort Tamborino, Giulia
collection PubMed
description The aim of this study was to build a simulation framework to evaluate the number of DNA double-strand breaks (DSBs) induced by in vitro targeted radionuclide therapy (TRT). This work represents the first step toward exploring underlying biologic mechanisms and the influence of physical and chemical parameters to enable a better response prediction in patients. We used this tool to characterize early DSB induction by (177)Lu-DOTATATE, a commonly used TRT for neuroendocrine tumors. Methods: A multiscale approach was implemented to simulate the number of DSBs produced over 4 h by the cumulated decays of (177)Lu distributed according to the somatostatin receptor binding. The approach involves 2 sequential simulations performed with Geant4/Geant4-DNA. The radioactive source is sampled according to uptake experiments on the distribution of activities within the medium and the planar cellular cluster, assuming instant and permanent internalization. A phase space is scored around the nucleus of the central cell. Then, the phase space is used to generate particles entering the nucleus containing a multiscale description of the DNA in order to score the number of DSBs per particle source. The final DSB computations are compared with experimental data, measured by immunofluorescent detection of p53-binding protein 1 foci. Results: The probability of electrons reaching the nucleus was significantly influenced by the shape of the cell compartment, causing a large variance in the induction pattern of DSBs. A significant difference was found in the DSBs induced by activity distributions in cell and medium, as is explained by the specific energy ([Formula: see text]) distributions. The average number of simulated DSBs was 14 DSBs per cell (range, 7–24 DSBs per cell), compared with 13 DSBs per cell (range, 2–30 DSBs per cell) experimentally determined. We found a linear correlation between the mean absorbed dose to the nucleus and the number of DSBs per cell: 0.014 DSBs per cell mGy(−1) for internalization in the Golgi apparatus and 0.017 DSBs per cell mGy(−1) for internalization in the cytoplasm. Conclusion: This simulation tool can lead to a more reliable absorbed-dose–to–DNA correlation and help in prediction of biologic response.
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spelling pubmed-90515962022-05-17 Modeling Early Radiation DNA Damage Occurring During (177)Lu-DOTATATE Radionuclide Therapy Tamborino, Giulia Perrot, Yann De Saint-Hubert, Marijke Struelens, Lara Nonnekens, Julie Jong, Marion De Konijnenberg, Mark W. Villagrasa, Carmen J Nucl Med Translational The aim of this study was to build a simulation framework to evaluate the number of DNA double-strand breaks (DSBs) induced by in vitro targeted radionuclide therapy (TRT). This work represents the first step toward exploring underlying biologic mechanisms and the influence of physical and chemical parameters to enable a better response prediction in patients. We used this tool to characterize early DSB induction by (177)Lu-DOTATATE, a commonly used TRT for neuroendocrine tumors. Methods: A multiscale approach was implemented to simulate the number of DSBs produced over 4 h by the cumulated decays of (177)Lu distributed according to the somatostatin receptor binding. The approach involves 2 sequential simulations performed with Geant4/Geant4-DNA. The radioactive source is sampled according to uptake experiments on the distribution of activities within the medium and the planar cellular cluster, assuming instant and permanent internalization. A phase space is scored around the nucleus of the central cell. Then, the phase space is used to generate particles entering the nucleus containing a multiscale description of the DNA in order to score the number of DSBs per particle source. The final DSB computations are compared with experimental data, measured by immunofluorescent detection of p53-binding protein 1 foci. Results: The probability of electrons reaching the nucleus was significantly influenced by the shape of the cell compartment, causing a large variance in the induction pattern of DSBs. A significant difference was found in the DSBs induced by activity distributions in cell and medium, as is explained by the specific energy ([Formula: see text]) distributions. The average number of simulated DSBs was 14 DSBs per cell (range, 7–24 DSBs per cell), compared with 13 DSBs per cell (range, 2–30 DSBs per cell) experimentally determined. We found a linear correlation between the mean absorbed dose to the nucleus and the number of DSBs per cell: 0.014 DSBs per cell mGy(−1) for internalization in the Golgi apparatus and 0.017 DSBs per cell mGy(−1) for internalization in the cytoplasm. Conclusion: This simulation tool can lead to a more reliable absorbed-dose–to–DNA correlation and help in prediction of biologic response. Society of Nuclear Medicine 2022-05 /pmc/articles/PMC9051596/ /pubmed/34503959 http://dx.doi.org/10.2967/jnumed.121.262610 Text en © 2022 by the Society of Nuclear Medicine and Molecular Imaging. https://creativecommons.org/licenses/by/4.0/Immediate Open Access: Creative Commons Attribution 4.0 International License (CC BY) allows users to share and adapt with attribution, excluding materials credited to previous publications. License: https://creativecommons.org/licenses/by/4.0/. Details: http://jnm.snmjournals.org/site/misc/permission.xhtml.
spellingShingle Translational
Tamborino, Giulia
Perrot, Yann
De Saint-Hubert, Marijke
Struelens, Lara
Nonnekens, Julie
Jong, Marion De
Konijnenberg, Mark W.
Villagrasa, Carmen
Modeling Early Radiation DNA Damage Occurring During (177)Lu-DOTATATE Radionuclide Therapy
title Modeling Early Radiation DNA Damage Occurring During (177)Lu-DOTATATE Radionuclide Therapy
title_full Modeling Early Radiation DNA Damage Occurring During (177)Lu-DOTATATE Radionuclide Therapy
title_fullStr Modeling Early Radiation DNA Damage Occurring During (177)Lu-DOTATATE Radionuclide Therapy
title_full_unstemmed Modeling Early Radiation DNA Damage Occurring During (177)Lu-DOTATATE Radionuclide Therapy
title_short Modeling Early Radiation DNA Damage Occurring During (177)Lu-DOTATATE Radionuclide Therapy
title_sort modeling early radiation dna damage occurring during (177)lu-dotatate radionuclide therapy
topic Translational
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051596/
https://www.ncbi.nlm.nih.gov/pubmed/34503959
http://dx.doi.org/10.2967/jnumed.121.262610
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