Proof of concept of a binary blood assay for predicting radiosensitivity

Sophie Deneuve, Céline Mirjolet, Thierry Bastogne, Mirlande Duclos, Paul Retif, Philippe Zrounba, Pierre Eric Roux, Marc Poupart, Guillaume Vogin, Nicolas Foray, Sandrine Pereira*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)


Radiation therapy (RT), either alone or in combination with surgery and/or chemotherapy is a keystone of cancers treatment. Early toxicity is common, sometimes leading to discontinuation of treatment. Recent studies stressed the role of the phosphorylated ATM (pATM) protein in RT-toxicity genesis and its ability in predicting individual radiosensitivity (IRS) in fibroblasts. Here we assessed the reliability of the pATM quantification in lymphocytes to predict IRS. A first retrospective study was performed on 150 blood lymphocytes of patients with several cancer types. Patients were divided into 2 groups, according to the grade of experienced toxicity. The global quantity of pATM molecules was assessed by ELISA on lymphocytes to determine the best threshold value. Then, the binary assay was assessed on a validation cohort of 36 patients with head and neck cancers. The quantity of pATM molecules in each sample of the training cohort was found in agreement with the observed Common Terminology Criteria for Adverse Events (CTCAE) grades with an AUC = 0.71 alone and of 0.77 combined to chemotherapy information. In the validation cohort, the same test was conducted with the following performances: sensitivity = 0.84, specificity = 0.54, AUC = 0.70 and 0.72 combined to chemotherapy. This study provides the basis of an easy to perform assay for clinical use.

Original languageEnglish
Article number2477
Issue number10
Publication statusPublished - 2 May 2021
Externally publishedYes


  • Biological marker
  • Cancer
  • Normal tissue complication probability
  • PATM
  • Radiation-induced toxicity prediction


Dive into the research topics of 'Proof of concept of a binary blood assay for predicting radiosensitivity'. Together they form a unique fingerprint.

Cite this