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Quantitative Correlations between Radiosensitivity Biomarkers Show That the ATM Protein Kinase Is Strongly Involved in the Radiotoxicities Observed after Radiotherapy

Tissue overreactions (OR), whether called adverse effects, radiotoxicity, or radiosensitivity reactions, may occur during or after anti-cancer radiotherapy (RT). They represent a medical, economic, and societal issue and raise the question of individual response to radiation. To predict and prevent...

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Autores principales: Le Reun, Eymeric, Bodgi, Larry, Granzotto, Adeline, Sonzogni, Laurène, Ferlazzo, Mélanie L., Al-Choboq, Joëlle, El-Nachef, Laura, Restier-Verlet, Juliette, Berthel, Elise, Devic, Clément, Bouchet, Audrey, Bourguignon, Michel, Foray, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498991/
https://www.ncbi.nlm.nih.gov/pubmed/36142346
http://dx.doi.org/10.3390/ijms231810434
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author Le Reun, Eymeric
Bodgi, Larry
Granzotto, Adeline
Sonzogni, Laurène
Ferlazzo, Mélanie L.
Al-Choboq, Joëlle
El-Nachef, Laura
Restier-Verlet, Juliette
Berthel, Elise
Devic, Clément
Bouchet, Audrey
Bourguignon, Michel
Foray, Nicolas
author_facet Le Reun, Eymeric
Bodgi, Larry
Granzotto, Adeline
Sonzogni, Laurène
Ferlazzo, Mélanie L.
Al-Choboq, Joëlle
El-Nachef, Laura
Restier-Verlet, Juliette
Berthel, Elise
Devic, Clément
Bouchet, Audrey
Bourguignon, Michel
Foray, Nicolas
author_sort Le Reun, Eymeric
collection PubMed
description Tissue overreactions (OR), whether called adverse effects, radiotoxicity, or radiosensitivity reactions, may occur during or after anti-cancer radiotherapy (RT). They represent a medical, economic, and societal issue and raise the question of individual response to radiation. To predict and prevent them are among the major tasks of radiobiologists. To this aim, radiobiologists have developed a number of predictive assays involving different cellular models and endpoints. To date, while no consensus has been reached to consider one assay as the best predictor of the OR occurrence and severity, radiation oncologists have proposed consensual scales to quantify OR in six different grades of severity, whatever the organ/tissue concerned and their early/late features. This is notably the case with the Common Terminology Criteria for Adverse Events (CTCAE). Few radiobiological studies have used the CTCAE scale as a clinical endpoint to evaluate the statistical robustness of the molecular and cellular predictive assays in the largest range of human radiosensitivity. Here, by using 200 untransformed skin fibroblast cell lines derived from RT-treated cancer patients eliciting OR in the six CTCAE grades range, correlations between CTCAE grades and the major molecular and cellular endpoints proposed to predict OR (namely, cell survival at 2 Gy (SF2), yields of micronuclei, recognized and unrepaired DSBs assessed by immunofluorescence with γH2AX and pATM markers) were examined. To our knowledge, this was the first time that the major radiosensitivity endpoints were compared together with the same cohort and irradiation conditions. Both SF2 and the maximal number of pATM foci reached after 2 Gy appear to be the best predictors of the OR, whatever the CTCAE grades range. All these major radiosensitivity endpoints are mathematically linked in a single mechanistic model of individual response to radiation in which the ATM kinase plays a major role.
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spelling pubmed-94989912022-09-23 Quantitative Correlations between Radiosensitivity Biomarkers Show That the ATM Protein Kinase Is Strongly Involved in the Radiotoxicities Observed after Radiotherapy Le Reun, Eymeric Bodgi, Larry Granzotto, Adeline Sonzogni, Laurène Ferlazzo, Mélanie L. Al-Choboq, Joëlle El-Nachef, Laura Restier-Verlet, Juliette Berthel, Elise Devic, Clément Bouchet, Audrey Bourguignon, Michel Foray, Nicolas Int J Mol Sci Article Tissue overreactions (OR), whether called adverse effects, radiotoxicity, or radiosensitivity reactions, may occur during or after anti-cancer radiotherapy (RT). They represent a medical, economic, and societal issue and raise the question of individual response to radiation. To predict and prevent them are among the major tasks of radiobiologists. To this aim, radiobiologists have developed a number of predictive assays involving different cellular models and endpoints. To date, while no consensus has been reached to consider one assay as the best predictor of the OR occurrence and severity, radiation oncologists have proposed consensual scales to quantify OR in six different grades of severity, whatever the organ/tissue concerned and their early/late features. This is notably the case with the Common Terminology Criteria for Adverse Events (CTCAE). Few radiobiological studies have used the CTCAE scale as a clinical endpoint to evaluate the statistical robustness of the molecular and cellular predictive assays in the largest range of human radiosensitivity. Here, by using 200 untransformed skin fibroblast cell lines derived from RT-treated cancer patients eliciting OR in the six CTCAE grades range, correlations between CTCAE grades and the major molecular and cellular endpoints proposed to predict OR (namely, cell survival at 2 Gy (SF2), yields of micronuclei, recognized and unrepaired DSBs assessed by immunofluorescence with γH2AX and pATM markers) were examined. To our knowledge, this was the first time that the major radiosensitivity endpoints were compared together with the same cohort and irradiation conditions. Both SF2 and the maximal number of pATM foci reached after 2 Gy appear to be the best predictors of the OR, whatever the CTCAE grades range. All these major radiosensitivity endpoints are mathematically linked in a single mechanistic model of individual response to radiation in which the ATM kinase plays a major role. MDPI 2022-09-09 /pmc/articles/PMC9498991/ /pubmed/36142346 http://dx.doi.org/10.3390/ijms231810434 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Le Reun, Eymeric
Bodgi, Larry
Granzotto, Adeline
Sonzogni, Laurène
Ferlazzo, Mélanie L.
Al-Choboq, Joëlle
El-Nachef, Laura
Restier-Verlet, Juliette
Berthel, Elise
Devic, Clément
Bouchet, Audrey
Bourguignon, Michel
Foray, Nicolas
Quantitative Correlations between Radiosensitivity Biomarkers Show That the ATM Protein Kinase Is Strongly Involved in the Radiotoxicities Observed after Radiotherapy
title Quantitative Correlations between Radiosensitivity Biomarkers Show That the ATM Protein Kinase Is Strongly Involved in the Radiotoxicities Observed after Radiotherapy
title_full Quantitative Correlations between Radiosensitivity Biomarkers Show That the ATM Protein Kinase Is Strongly Involved in the Radiotoxicities Observed after Radiotherapy
title_fullStr Quantitative Correlations between Radiosensitivity Biomarkers Show That the ATM Protein Kinase Is Strongly Involved in the Radiotoxicities Observed after Radiotherapy
title_full_unstemmed Quantitative Correlations between Radiosensitivity Biomarkers Show That the ATM Protein Kinase Is Strongly Involved in the Radiotoxicities Observed after Radiotherapy
title_short Quantitative Correlations between Radiosensitivity Biomarkers Show That the ATM Protein Kinase Is Strongly Involved in the Radiotoxicities Observed after Radiotherapy
title_sort quantitative correlations between radiosensitivity biomarkers show that the atm protein kinase is strongly involved in the radiotoxicities observed after radiotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498991/
https://www.ncbi.nlm.nih.gov/pubmed/36142346
http://dx.doi.org/10.3390/ijms231810434
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