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. 2018 Feb 1;100(2):353-360.
doi: 10.1016/j.ijrobp.2017.10.029. Epub 2017 Oct 28.

Fast and Binary Assay for Predicting Radiosensitivity Based on the Theory of ATM Nucleo-Shuttling: Development, Validation, and Performance

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Fast and Binary Assay for Predicting Radiosensitivity Based on the Theory of ATM Nucleo-Shuttling: Development, Validation, and Performance

Sandrine Pereira et al. Int J Radiat Oncol Biol Phys. .

Abstract

Purpose: To examine the possibility of predicting clinical radiosensitivity by quantifying the nuclear forms of autophosphorylated ATM protein (pATM) via a specific enzyme-linked immunosorbent assay (ELISA).

Methods and materials: This study was performed on 30 skin fibroblasts from 9 radioresistant patients and 21 patients with adverse tissue reaction events. Patients were divided into 2 groups: radioresistant (toxicity grade <2) and radiosensitive (toxicity grade ≥2). The quantity of nuclear pATM molecules was assessed by the ELISA method at 10 minutes and 1 hour after 2 Gy and compared with pATM immunofluorescence data.

Results: The pATM ELISA data were in quantitative agreement with the immunofluorescence data. A receiver operating characteristic analysis was applied first to 2 data sets (a training set [n=14] and a validating [n=16] set) and thereafter to all the data with a 2-fold cross-validation method. The assay showed an area under the curve value higher than 0.8, a sensitivity of 0.8, and a specificity ranging from 0.75 to 1, which strongly documents the predictive power of the pATM ELISA.

Conclusion: This study showed that the assessment of nuclear pATM quantity after 2 Gy via an ELISA technique can be the basis of a predictive assay with the highest statistical performance among the available predictive approaches.

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Comment in

  • In Regard to Pereira et al.
    Azria D, Gourgou S, Brengues M, Bourgier C, Ozsahin M. Azria D, et al. Int J Radiat Oncol Biol Phys. 2018 Jun 1;101(2):490-491. doi: 10.1016/j.ijrobp.2018.02.021. Int J Radiat Oncol Biol Phys. 2018. PMID: 29726365 No abstract available.
  • In Reply to Azria et al.
    Pereira S, Bodgi L, Duclos M, Canet A, Ferlazzo ML, Devic C, Granzotto A, Deneuve S, Vogin G, Foray N. Pereira S, et al. Int J Radiat Oncol Biol Phys. 2018 Jun 1;101(2):491-492. doi: 10.1016/j.ijrobp.2018.02.020. Int J Radiat Oncol Biol Phys. 2018. PMID: 29726366 No abstract available.

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