1. Predicting acute severe toxicity for head and neck squamous cell carcinomas by combining dosimetry with a radiosensitivity biomarker : a pilot study
- Author
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Sophie Deneuve, Thierry Bastogne, Mirlande Duclos, Céline Mirjolet, Pascaline Bois, Patrick Bachmann, Lara Nokovitch, Pierre-Eric Roux, Didier Girodet, Marc Poupart, Philippe Zrounba, Line Claude, Letizia Ferella, Nicola Alessandro Iacovelli, Nicolas Foray, Tiziana Rancati, Sandrine Pereira, Centre Léon Bérard [Lyon], Centre de Recherche sur l'Amérique du Nord (CRAN), CREW - Center for Research on the English-speaking World - EA 4399 (CREW), Université Sorbonne Nouvelle - Paris 3-Université Sorbonne Nouvelle - Paris 3, Biology, genetics and statistics (BIGS), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Élie Cartan de Lorraine (IECL), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), CYBERnano [Villers-lès-Nancy], Neolys Diagnostics [Lyon], Service de radiothérapie [Centre Georges-François Leclerc], Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, and IRCCS Istituto Nazionale dei Tumori [Milano]
- Subjects
Cancer Research ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,Oncology ,normal tissue complication probability ,Head and neck squamous cell carcinomas ,radiation-induced toxicity ,pATM ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,General Medicine ,predictive models ,biological marker - Abstract
Objective: Radiotherapy (RT) against head and neck squamous cell carcinomas (HNSCC) may lead to severe toxicity in 30-40% of patients. The normal tissue complication probability (NTCP) models, based on dosimetric data refined the normal tissue dose/volume tolerance guidelines. In parallel, the radiation-induced nucleoshuttling (RIANS) of the Ataxia-Telangiectasia Mutated protein (pATM) is a predictive approach of individual intrinsic radiosensitivity. Here, we combined NTCP with RADIODTECT©, a blood assay derived from the RIANS model, to predict RT toxicity in HNSCC patients. Methods: RADIODTECT© cutoff values (i.e. 57.8 ng/mL for grade⩾2 toxicity and 46 ng/mL for grade⩾3 toxicity) have been previously assessed. Validation was performed on a prospective cohort of 36 HNSCC patients treated with postoperative RT. Toxicity was graded with the Common Terminology Criteria for Adverse Events (CTCAE) scale and two criteria were considered: grade⩾2 oral mucositis (OM2), grade⩾3 mucositis (OM3) and grade⩾2 dysphagia (DY2), grade⩾3 dysphagia (DY3). pATM quantification was assessed in lymphocytes of HNSCC patients. The discrimination power of the pATM assay was evaluated through the Area Under the Receiver Operator Characteristics Curve (AUC-ROC). Two previously described NTCP models were considered, including the dose to the oral cavity and the mean dose to the parotid glands (OM2 and OM3) and the dose to the oral cavity, to the larynx and the volume of pharyngeal constrictor muscles (DY2 and DY3). Results: Combining NTCP models with RADIODTECT© blood test improved the AUC-ROC. Considering the prediction of mucositis, AUC-ROCNTCP+RADIODTECT©=0.80 was for OM2, and AUC-ROCNTCP+RADIODTECT©=0.78 for OM3. Considering the prediction of acute dysphagia, AUC-ROCNTCP+RADIODTECT©=0.71 for DY2 and for DY3. Conclusions: Combining NTCP models with a radiosensitivity biomarker might significantly improve the prediction of toxicities for HNSCC patients.
- Published
- 2022
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