Establishing mechanisms affecting the individual response to ionizing radiation

Research output: Contribution to journalArticle

Authors

  • Dietrich Averbeck
  • Serge Candéias
  • Sudhir Chandna
  • Anna A. Friedl
  • Siamak Haghdoost
  • Penelope A. Jeggo
  • Katalin Lumniczky
  • Francois Paris
  • Roel Quintens
  • Laure Sabatier

Institutes & Expert groups

  • CEA Cadarache - Commissariat à l'Énergie Atomique
  • INMAS - Institute of nuclear medicine & allied science
  • LMU Munich - Ludwig-Maximilians-Universitat Munchen
  • SU - Stockholm University
  • US - University of Sussex
  • Université de Nantes
  • CEA Saclay - Commissariat à l'énergie atomique
  • IRSN - Institute for Radioprotection and Nuclear Safety - Institut Radioprotection Sûreté Nucléaire
  • NRIRR - National Research Institute for Radiobiology and Radiohygiene

Documents & links

Abstract

Purpose: Humans are increasingly exposed to ionizing radiation (IR). Both low (<100 mGy) and high doses can cause stochastic effects, including cancer; whereas doses above 100 mGy are needed to promote tissue or cell damage. 10–15% of radiotherapy (RT) patients suffer adverse reactions, described as displaying radiosensitivity (RS). Sensitivity to IR’s stochastic effects is termed radiosusceptibility (RSu). To optimize radiation protection we need to understand the range of individual variability and underlying mechanisms. We review the potential mechanisms contribu-ting to RS/RSu focusing on RS following RT, the most tractable RS group. Conclusions: The IR-induced DNA damage response (DDR) has been well characterized. Patients with mutations in the DDR have been identified and display marked RS but they represent only a small percentage of the RT patients with adverse reactions. We review the impacting mechanisms and additional factors influencing RS/RSu. We discuss whether RS/RSu might be genetically deter-mined. As a recommendation, we propose that a prospective study be established to assess RS following RT. The study should detail tumor site and encompass a well-defined grading system. Predictive assays should be independently validated. Detailed analysis of the inflammatory, stress and immune responses, mitochondrial function and life style factors should be included. Existing cohorts should also be optimally exploited.

Details

Original languageEnglish
Pages (from-to)297-323
Number of pages27
JournalInternational Journal of Radiation Biology
Volume96
Issue number3
DOIs
Publication statusPublished - 8 Jan 2020

Keywords

  • Radiosensitivity, Radiotherapy, Radiation policy, Radiation-induced cancer, Radiosusceptibility

ID: 6842790