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Estimation of biological effect of Cu-64 radiopharmaceuticals with Geant4-DNA simulation
The aim of this work is to estimate the biological effect of targeted radionuclide therapy using Cu-64, which is a well-known Auger electron emitter. To do so, we evaluate the absorbed dose of emitted particles from Cu-64 using the Geant4-DNA Monte Carlo simulation toolkit. The contribution of beta...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142517/ https://www.ncbi.nlm.nih.gov/pubmed/35624130 http://dx.doi.org/10.1038/s41598-022-13096-2 |
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author | Kusumoto, Tamon Baba, Kentaro Hasegawa, Sumitaka Raffy, Quentin Kodaira, Satoshi |
author_facet | Kusumoto, Tamon Baba, Kentaro Hasegawa, Sumitaka Raffy, Quentin Kodaira, Satoshi |
author_sort | Kusumoto, Tamon |
collection | PubMed |
description | The aim of this work is to estimate the biological effect of targeted radionuclide therapy using Cu-64, which is a well-known Auger electron emitter. To do so, we evaluate the absorbed dose of emitted particles from Cu-64 using the Geant4-DNA Monte Carlo simulation toolkit. The contribution of beta particles to the absorbed dose is higher than that of Auger electrons. The simulation result agrees with experimental ones evaluated using coumarin-3-carboxylic acid chemical dosimeter. The simulation result is also in good agreement with previous ones obtained using fluorescent nuclear track detector. From the results of present simulation (i.e., absorbed dose estimation) and previous biological experiments using two cell lines (i.e., evaluation of survival curves), we have estimated the relative biological effectiveness (RBE) of Cu-64 emitted particles on CHO wild-type cells and xrs5 cells. The RBE of xrs5 cells exposed to Cu-64 is almost equivalent to that with gamma rays and protons and C ions. This result indicates that the radiosensitivity of xrs5 cells is independent of LET. In comparison to this, the RBE on CHO wild-type cells exposed to Cu-64 is significantly higher than gamma rays and almost equivalent to that irradiated with C ions with a linear energy transfer of 70 keV/μm. |
format | Online Article Text |
id | pubmed-9142517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91425172022-05-29 Estimation of biological effect of Cu-64 radiopharmaceuticals with Geant4-DNA simulation Kusumoto, Tamon Baba, Kentaro Hasegawa, Sumitaka Raffy, Quentin Kodaira, Satoshi Sci Rep Article The aim of this work is to estimate the biological effect of targeted radionuclide therapy using Cu-64, which is a well-known Auger electron emitter. To do so, we evaluate the absorbed dose of emitted particles from Cu-64 using the Geant4-DNA Monte Carlo simulation toolkit. The contribution of beta particles to the absorbed dose is higher than that of Auger electrons. The simulation result agrees with experimental ones evaluated using coumarin-3-carboxylic acid chemical dosimeter. The simulation result is also in good agreement with previous ones obtained using fluorescent nuclear track detector. From the results of present simulation (i.e., absorbed dose estimation) and previous biological experiments using two cell lines (i.e., evaluation of survival curves), we have estimated the relative biological effectiveness (RBE) of Cu-64 emitted particles on CHO wild-type cells and xrs5 cells. The RBE of xrs5 cells exposed to Cu-64 is almost equivalent to that with gamma rays and protons and C ions. This result indicates that the radiosensitivity of xrs5 cells is independent of LET. In comparison to this, the RBE on CHO wild-type cells exposed to Cu-64 is significantly higher than gamma rays and almost equivalent to that irradiated with C ions with a linear energy transfer of 70 keV/μm. Nature Publishing Group UK 2022-05-27 /pmc/articles/PMC9142517/ /pubmed/35624130 http://dx.doi.org/10.1038/s41598-022-13096-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kusumoto, Tamon Baba, Kentaro Hasegawa, Sumitaka Raffy, Quentin Kodaira, Satoshi Estimation of biological effect of Cu-64 radiopharmaceuticals with Geant4-DNA simulation |
title | Estimation of biological effect of Cu-64 radiopharmaceuticals with Geant4-DNA simulation |
title_full | Estimation of biological effect of Cu-64 radiopharmaceuticals with Geant4-DNA simulation |
title_fullStr | Estimation of biological effect of Cu-64 radiopharmaceuticals with Geant4-DNA simulation |
title_full_unstemmed | Estimation of biological effect of Cu-64 radiopharmaceuticals with Geant4-DNA simulation |
title_short | Estimation of biological effect of Cu-64 radiopharmaceuticals with Geant4-DNA simulation |
title_sort | estimation of biological effect of cu-64 radiopharmaceuticals with geant4-dna simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142517/ https://www.ncbi.nlm.nih.gov/pubmed/35624130 http://dx.doi.org/10.1038/s41598-022-13096-2 |
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