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Prediction of radiotherapy toxicity: 20 years of COPERNIC radiosensitivity diagnosis procedure. | LitMetric

Prediction of radiotherapy toxicity: 20 years of COPERNIC radiosensitivity diagnosis procedure.

Cancer Radiother

UMR1296 « Radiations : défense, santé, environnement », Institut national de la santé et de la recherche médicale (Inserm), rue Laennec, 69008 Lyon, France; Department of Radiation Oncology, American University of Beirut Medical Center, Riad El-Solh, Beirut 1107-2020, Lebanon; Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Bliss Street, 11-0236 Riad El-Solh, Beirut 1107-2020, Lebanon.

Published: October 2024

AI Article Synopsis

Article Abstract

Purpose: Since 2004, in the frame of the care pathway, our Research Unit has replied to the demand of expertise of radiation oncologists about the individual radiosensitivity of some of their patients. This procedure, called COPERNIC, is based on a skin biopsy and the radiation-induced nucleoshuttling of the ATM protein (the RIANS model), a major actor of DNA break repair and signaling. In 2016, with the first 117COPERNIC fibroblast lines, we obtained a significant correlation between the maximum number of the nuclear ATM foci, pATM, and the CTCAE severity grade of the post-radiotherapy tissue reactions. In this study, we propose to verify the validity of our previous findings with a new COPERNIC data subset obtained in the 2014-2024 period.

Materials And Methods: We applied a standard immunofluorescence technique to quiescent COPERNIC fibroblasts to assess, after 2Gy, the level of micronuclei, γH2AX and pATM foci. The 117 COPERNIC data published in 2016 were considered as the reference data subset. A new COPERNIC data subset composed of 133fibroblast cell lines was considered as the validating data subset.

Results: Our data showed that spontaneous or residual micronuclei levels, and residual γH2AX foci levels cannot predict CTCAE grades. Conversely, the linear formula linking the maximal number of pATM foci and the corresponding CTCAE grade and obtained in 2016 from the reference data subset fitted well the validating data.

Conclusions: The maximal number of pATM foci appears to be one of the most reliable biomarkers for predicting post-radiotherapy radiotoxicity.

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Source
http://dx.doi.org/10.1016/j.canrad.2024.05.002DOI Listing

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