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Analysis of the relationship between LET, γH2AX foci volume and cell killing effect of carbon ions using high-resolution imaging technology

The strong cell killing effect of high linear energy transfer (LET) carbon ions is dependent on lethal DNA damage. Our recent studies suggest that induction of clusters of double-strand breaks (DSBs) in close proximity is one of the potential mechanisms. However, the relationship between LET, the de...

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Autores principales: Oike, Takahiro, Kakoti, Sangeeta, Sakai, Makoto, Matsumura, Akihiko, Ohno, Tatsuya, Shibata, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036109/
https://www.ncbi.nlm.nih.gov/pubmed/36621883
http://dx.doi.org/10.1093/jrr/rrac098
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author Oike, Takahiro
Kakoti, Sangeeta
Sakai, Makoto
Matsumura, Akihiko
Ohno, Tatsuya
Shibata, Atsushi
author_facet Oike, Takahiro
Kakoti, Sangeeta
Sakai, Makoto
Matsumura, Akihiko
Ohno, Tatsuya
Shibata, Atsushi
author_sort Oike, Takahiro
collection PubMed
description The strong cell killing effect of high linear energy transfer (LET) carbon ions is dependent on lethal DNA damage. Our recent studies suggest that induction of clusters of double-strand breaks (DSBs) in close proximity is one of the potential mechanisms. However, the relationship between LET, the degree of DSB clustering and the cell killing effect of carbon ions remains unclear. Here, we used high-resolution imaging technology to analyze the volume of γH2AX foci induced by monoenergetic carbon ions with a clinically-relevant range of LET (13–100 keV/μm). We obtained data from 3317 γH2AX foci and used a gaussian function to approximate the probability (p) that 1 Gy-carbon ions induce γH2AX foci of a given volume (v(th)) or greater per nucleus. Cell killing effects were assessed in clonogenic assays. The cell killing effect showed high concordance with p at v(th) = 0.7 μm(3) across various LET values; the difference between the two was 4.7% ± 2.2%. This relationship was also true for clinical carbon ion beams harboring a mixed LET profile throughout a spread-out Bragg peak width (30–120 mm), with the difference at v(th) = 0.7 μm(3) being 1.6% ± 1.2% when a Monte Carlo simulation-derived dose-averaged LET was used to calculate p. These data indicate that the cell killing effect of carbon ions is predictable by the ability of carbon ions to induce γH2AX foci containing clustered DSBs, which is linked to LET, providing the biological basis for LET modulation in the planning of carbon ion radiotherapy.
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spelling pubmed-100361092023-03-24 Analysis of the relationship between LET, γH2AX foci volume and cell killing effect of carbon ions using high-resolution imaging technology Oike, Takahiro Kakoti, Sangeeta Sakai, Makoto Matsumura, Akihiko Ohno, Tatsuya Shibata, Atsushi J Radiat Res Regular paper The strong cell killing effect of high linear energy transfer (LET) carbon ions is dependent on lethal DNA damage. Our recent studies suggest that induction of clusters of double-strand breaks (DSBs) in close proximity is one of the potential mechanisms. However, the relationship between LET, the degree of DSB clustering and the cell killing effect of carbon ions remains unclear. Here, we used high-resolution imaging technology to analyze the volume of γH2AX foci induced by monoenergetic carbon ions with a clinically-relevant range of LET (13–100 keV/μm). We obtained data from 3317 γH2AX foci and used a gaussian function to approximate the probability (p) that 1 Gy-carbon ions induce γH2AX foci of a given volume (v(th)) or greater per nucleus. Cell killing effects were assessed in clonogenic assays. The cell killing effect showed high concordance with p at v(th) = 0.7 μm(3) across various LET values; the difference between the two was 4.7% ± 2.2%. This relationship was also true for clinical carbon ion beams harboring a mixed LET profile throughout a spread-out Bragg peak width (30–120 mm), with the difference at v(th) = 0.7 μm(3) being 1.6% ± 1.2% when a Monte Carlo simulation-derived dose-averaged LET was used to calculate p. These data indicate that the cell killing effect of carbon ions is predictable by the ability of carbon ions to induce γH2AX foci containing clustered DSBs, which is linked to LET, providing the biological basis for LET modulation in the planning of carbon ion radiotherapy. Oxford University Press 2023-01-07 /pmc/articles/PMC10036109/ /pubmed/36621883 http://dx.doi.org/10.1093/jrr/rrac098 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Regular paper
Oike, Takahiro
Kakoti, Sangeeta
Sakai, Makoto
Matsumura, Akihiko
Ohno, Tatsuya
Shibata, Atsushi
Analysis of the relationship between LET, γH2AX foci volume and cell killing effect of carbon ions using high-resolution imaging technology
title Analysis of the relationship between LET, γH2AX foci volume and cell killing effect of carbon ions using high-resolution imaging technology
title_full Analysis of the relationship between LET, γH2AX foci volume and cell killing effect of carbon ions using high-resolution imaging technology
title_fullStr Analysis of the relationship between LET, γH2AX foci volume and cell killing effect of carbon ions using high-resolution imaging technology
title_full_unstemmed Analysis of the relationship between LET, γH2AX foci volume and cell killing effect of carbon ions using high-resolution imaging technology
title_short Analysis of the relationship between LET, γH2AX foci volume and cell killing effect of carbon ions using high-resolution imaging technology
title_sort analysis of the relationship between let, γh2ax foci volume and cell killing effect of carbon ions using high-resolution imaging technology
topic Regular paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036109/
https://www.ncbi.nlm.nih.gov/pubmed/36621883
http://dx.doi.org/10.1093/jrr/rrac098
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