Tumour and normal tissue radiosensitivity

Cancer Radiother. 2022 Feb-Apr;26(1-2):96-103. doi: 10.1016/j.canrad.2021.11.008. Epub 2021 Dec 22.

Abstract

The place of personalized treatments is highly increasing in medical and radiation oncology. During the last decades, a huge number of assays have been developed to predict responses of normal tissues and tumours. These tests have not yet been included into daily clinical practice but the recent developments of radiation oncology are paving the way of personalized strategies including the risk of tumour recurrence and normal tissue reactions. Concerning tumor radiosensitivity prediction, no test are currently used, even if the radiosensitivity index and the genome-based model for adjusting radiotherapy dose assays seem the most promising with level II of evidence. Commercial developments are under progress. Concerning normal tissue radiosensitivity prediction, single nucleotide polymorphims of prostate cancer patients and radiation-induced CD8 T-lymphocyte apoptosis breast and prostate assays are of level I of evidence. They can be proposed before the beginning of radiotherapy in order to propose personalized treatments according to both risks of tumour and normal tissue radiosensitivity. Commercial developments are also under way.

Keywords: French society for radiation oncology; Guidelines; Normal tissue; Predictive assays; Radiation therapy; Radiosensibilité; Radiosensitivity; Radiotherapy; Radiothérapie; Recommandations; Société française de radiothérapie oncologique; Tests prédictifs; Tissu sain; Tumeur; Tumour.

Publication types

  • Practice Guideline

MeSH terms

  • DNA Repair
  • Fibroblasts / radiation effects
  • Gene Expression
  • Genetic Markers
  • Humans
  • Neoplasms / genetics
  • Neoplasms / immunology
  • Neoplasms / radiotherapy*
  • Organs at Risk / radiation effects*
  • Polymorphism, Single Nucleotide
  • Precision Medicine / methods*
  • Prognosis
  • Radiation Tolerance / genetics*
  • Treatment Outcome

Substances

  • Genetic Markers