Proof of Concept of a Binary Blood Assay for Predicting Radiosensitivity

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 an...

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Main Authors: Sophie Deneuve, Céline Mirjolet, Thierry Bastogne, Mirlande Duclos, Paul Retif, Philippe Zrounba, Pierre-Eric Roux, Marc Poupart, Guillaume Vogin, Nicolas Foray, Sandrine Pereira
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/13/10/2477
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spelling doaj-731bdc000cf348c3b4b5eafb316f57092021-06-01T00:30:45ZengMDPI AGCancers2072-66942021-05-01132477247710.3390/cancers13102477Proof of Concept of a Binary Blood Assay for Predicting RadiosensitivitySophie Deneuve0Céline Mirjolet1Thierry Bastogne2Mirlande Duclos3Paul Retif4Philippe Zrounba5Pierre-Eric Roux6Marc Poupart7Guillaume Vogin8Nicolas Foray9Sandrine Pereira10Centre Léon Bérard, UNICANCER, 69008 Lyon, FranceCentre Georges François Leclerc, UNICANCER, 27877 Dijon, FranceCRAN CNRS UMR 7039, Université de Lorraine, 54505 Vandœuvre-lès-Nancy, FranceNeolys Diagnostics, 67960 Strasbourg, FranceRadiation Therapy Department, Centre Hospitalier Régional Metz-Thionville, 57530 Ars-Laquenexy, FranceCentre Léon Bérard, UNICANCER, 69008 Lyon, FranceCentre Léon Bérard, UNICANCER, 69008 Lyon, FranceCentre Léon Bérard, UNICANCER, 69008 Lyon, FranceCentre François Baclesse, 4240 Ezch-sur-Alzette, LuxembourgRadiobiology Group, U1296 INSERM, 69008 Lyon, FranceRadiobiology Group, U1296 INSERM, 69008 Lyon, FranceRadiation 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.https://www.mdpi.com/2072-6694/13/10/2477cancerradiation-induced toxicity predictionbiological markerpATMnormal tissue complication probability
collection DOAJ
language English
format Article
sources DOAJ
author Sophie Deneuve
Céline Mirjolet
Thierry Bastogne
Mirlande Duclos
Paul Retif
Philippe Zrounba
Pierre-Eric Roux
Marc Poupart
Guillaume Vogin
Nicolas Foray
Sandrine Pereira
spellingShingle Sophie Deneuve
Céline Mirjolet
Thierry Bastogne
Mirlande Duclos
Paul Retif
Philippe Zrounba
Pierre-Eric Roux
Marc Poupart
Guillaume Vogin
Nicolas Foray
Sandrine Pereira
Proof of Concept of a Binary Blood Assay for Predicting Radiosensitivity
Cancers
cancer
radiation-induced toxicity prediction
biological marker
pATM
normal tissue complication probability
author_facet Sophie Deneuve
Céline Mirjolet
Thierry Bastogne
Mirlande Duclos
Paul Retif
Philippe Zrounba
Pierre-Eric Roux
Marc Poupart
Guillaume Vogin
Nicolas Foray
Sandrine Pereira
author_sort Sophie Deneuve
title Proof of Concept of a Binary Blood Assay for Predicting Radiosensitivity
title_short Proof of Concept of a Binary Blood Assay for Predicting Radiosensitivity
title_full Proof of Concept of a Binary Blood Assay for Predicting Radiosensitivity
title_fullStr Proof of Concept of a Binary Blood Assay for Predicting Radiosensitivity
title_full_unstemmed Proof of Concept of a Binary Blood Assay for Predicting Radiosensitivity
title_sort proof of concept of a binary blood assay for predicting radiosensitivity
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2021-05-01
description 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.
topic cancer
radiation-induced toxicity prediction
biological marker
pATM
normal tissue complication probability
url https://www.mdpi.com/2072-6694/13/10/2477
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