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Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines
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Tumour and normal tissue radiosensitivity.

A Lapierre1, S Gourgou2, M Brengues3

  • 1IRCM, Institut de recherche en cancérologie de Montpellier, Inserm U1194, INCa_Inserm_DGOS_12553, université de Montpellier, avenue des Apothicaires, 34298 Montpellier cedex 05, France; Département de radiothérapie oncologie, centre hospitalier universitaire Lyon Sud, 165, chemin du Grand-Revoyet, 69495 Pierre-Bénite, France; Université de Lyon, 69000 Lyon, France.

Cancer Radiotherapie : Journal De La Societe Francaise De Radiotherapie Oncologique
|December 26, 2021
PubMed
Summary
This summary is machine-generated.

Personalized radiation oncology treatments are advancing, with new tests predicting tumor and normal tissue responses. These personalized strategies aim to reduce recurrence and normal tissue reactions, improving patient outcomes.

Keywords:
French society for radiation oncologyGuidelinesNormal tissuePredictive assaysRadiation therapyRadiosensibilitéRadiosensitivityRadiotherapyRadiothérapieRecommandationsSociété française de radiothérapie oncologiqueTests prédictifsTissu sainTumeurTumour

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Area of Science:

  • Oncology
  • Radiation Therapy
  • Genomics

Background:

  • Personalized medicine is increasingly important in medical and radiation oncology.
  • Numerous assays have been developed to predict patient responses to treatments.
  • Current clinical practice has not yet widely adopted these predictive tests.

Purpose of the Study:

  • To review the current status and potential of predictive assays in personalized radiation oncology.
  • To highlight promising tests for tumor radiosensitivity and normal tissue reactions.
  • To discuss the integration of these tests into clinical practice.

Main Methods:

  • Review of existing literature and evidence levels for predictive assays.
  • Focus on tumor radiosensitivity prediction (e.g., radiosensitivity index, genome-based models).
  • Focus on normal tissue radiosensitivity prediction (e.g., SNP analysis, apoptosis assays).

Main Results:

  • No tests for tumor radiosensitivity are currently in clinical use, though promising options exist (Level II evidence).
  • Predictive assays for normal tissue radiosensitivity show strong evidence (Level I) and include SNP analysis and apoptosis assays.
  • Commercial development for these predictive tests is progressing.

Conclusions:

  • Personalized treatment strategies in radiation oncology are becoming feasible.
  • Predictive assays for both tumor and normal tissue responses can guide individualized radiotherapy.
  • Further development and integration of these tests are expected to enhance patient care and outcomes.