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Improving Patients’ Life Quality after Radiotherapy Treatment by Predicting Late Toxicities
SIMPLE SUMMARY: Over 50% of patients with cancer will receive radiotherapy treatment. Five to ten percent of patients who received radiotherapy will develop side effects. Identifying these patients before treatment start would allow for treatment modification to minimize these effects and improve th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099838/ https://www.ncbi.nlm.nih.gov/pubmed/35565227 http://dx.doi.org/10.3390/cancers14092097 |
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author | Lapierre, Ariane Bourillon, Laura Larroque, Marion Gouveia, Tiphany Bourgier, Céline Ozsahin, Mahmut Pèlegrin, André Azria, David Brengues, Muriel |
author_facet | Lapierre, Ariane Bourillon, Laura Larroque, Marion Gouveia, Tiphany Bourgier, Céline Ozsahin, Mahmut Pèlegrin, André Azria, David Brengues, Muriel |
author_sort | Lapierre, Ariane |
collection | PubMed |
description | SIMPLE SUMMARY: Over 50% of patients with cancer will receive radiotherapy treatment. Five to ten percent of patients who received radiotherapy will develop side effects. Identifying these patients before treatment start would allow for treatment modification to minimize these effects and improve the life quality of these patients. Our team developed a test, which allows predicting these secondary effects before starting the treatment. This will help in proposing personalized treatments to improve the outcome. This review presents how this test is performed, its results, as well as its modification in order to be used in hospitals. 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. |
format | Online Article Text |
id | pubmed-9099838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90998382022-05-14 Improving Patients’ Life Quality after Radiotherapy Treatment by Predicting Late Toxicities Lapierre, Ariane Bourillon, Laura Larroque, Marion Gouveia, Tiphany Bourgier, Céline Ozsahin, Mahmut Pèlegrin, André Azria, David Brengues, Muriel Cancers (Basel) Review SIMPLE SUMMARY: Over 50% of patients with cancer will receive radiotherapy treatment. Five to ten percent of patients who received radiotherapy will develop side effects. Identifying these patients before treatment start would allow for treatment modification to minimize these effects and improve the life quality of these patients. Our team developed a test, which allows predicting these secondary effects before starting the treatment. This will help in proposing personalized treatments to improve the outcome. This review presents how this test is performed, its results, as well as its modification in order to be used in hospitals. 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. MDPI 2022-04-22 /pmc/articles/PMC9099838/ /pubmed/35565227 http://dx.doi.org/10.3390/cancers14092097 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Lapierre, Ariane Bourillon, Laura Larroque, Marion Gouveia, Tiphany Bourgier, Céline Ozsahin, Mahmut Pèlegrin, André Azria, David Brengues, Muriel Improving Patients’ Life Quality after Radiotherapy Treatment by Predicting Late Toxicities |
title | Improving Patients’ Life Quality after Radiotherapy Treatment by Predicting Late Toxicities |
title_full | Improving Patients’ Life Quality after Radiotherapy Treatment by Predicting Late Toxicities |
title_fullStr | Improving Patients’ Life Quality after Radiotherapy Treatment by Predicting Late Toxicities |
title_full_unstemmed | Improving Patients’ Life Quality after Radiotherapy Treatment by Predicting Late Toxicities |
title_short | Improving Patients’ Life Quality after Radiotherapy Treatment by Predicting Late Toxicities |
title_sort | improving patients’ life quality after radiotherapy treatment by predicting late toxicities |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099838/ https://www.ncbi.nlm.nih.gov/pubmed/35565227 http://dx.doi.org/10.3390/cancers14092097 |
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