Improving Patients' Life Quality after Radiotherapy Treatment by Predicting Late Toxicities.
Details
Serval ID
serval:BIB_0FEF06F590D0
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Improving Patients' Life Quality after Radiotherapy Treatment by Predicting Late Toxicities.
Journal
Cancers
ISSN
2072-6694 (Print)
ISSN-L
2072-6694
Publication state
Published
Issued date
22/04/2022
Peer-reviewed
Oui
Volume
14
Number
9
Pages
2097
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Publication Status: epublish
Abstract
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.
Keywords
biomarkers, late toxicities prediction, personalized treatment, radiotherapy
Pubmed
Web of science
Open Access
Yes
Create date
23/05/2022 13:09
Last modification date
23/11/2022 7:08