Improving Patients' Life Quality after Radiotherapy Treatment by Predicting Late Toxicities.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_0FEF06F590D0
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Improving Patients' Life Quality after Radiotherapy Treatment by Predicting Late Toxicities.
Périodique
Cancers
Auteur⸱e⸱s
Lapierre A., Bourillon L., Larroque M., Gouveia T., Bourgier C., Ozsahin M., Pèlegrin A., Azria D., Brengues M.
ISSN
2072-6694 (Print)
ISSN-L
2072-6694
Statut éditorial
Publié
Date de publication
22/04/2022
Peer-reviewed
Oui
Volume
14
Numéro
9
Pages
2097
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Résumé
Personalized treatment and precision medicine have become the new standard of care in oncology and radiotherapy. Because treatment outcomes have considerably improved over the last few years, permanent side-effects are becoming an increasingly significant issue for cancer survivors. Five to ten percent of patients will develop severe late toxicity after radiotherapy. Identifying these patients before treatment start would allow for treatment adaptation to minimize definitive side effects that could impair their long-term quality of life. Over the last decades, several tests and biomarkers have been developed to identify these patients. However, out of these, only the Radiation-Induced Lymphocyte Apoptosis (RILA) assay has been prospectively validated in multi-center cohorts. This test, based on a simple blood draught, has been shown to be correlated with late radiation-induced toxicity in breast, prostate, cervical and head and neck cancer. It could therefore greatly improve decision making in precision radiation oncology. This literature review summarizes the development and bases of this assay, as well as its clinical results and compares its results to the other available assays.
Mots-clé
biomarkers, late toxicities prediction, personalized treatment, radiotherapy
Pubmed
Web of science
Open Access
Oui
Création de la notice
23/05/2022 13:09
Dernière modification de la notice
23/11/2022 7:08
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