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Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity

Predicting which patients will develop adverse reactions to radiotherapy is important for personalised treatment. Prediction will require an algorithm or nomogram combining clinical and biological data. The radiation-induced lymphocyte apoptosis (RILA) assay is the leading candidate as a biological...

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Autores principales: Talbot, Christopher J., Veldwijk, Marlon R., Azria, David, Batini, Chiara, Bierbaum, Miriam, Brengues, Muriel, Chang-Claude, Jenny, Johnson, Kerstie, Keller, Anke, Smith, Sheila, Sperk, Elena, Symonds, R. Paul, Wenz, Frederik, West, Catharine M.L., Herskind, Carsten, Bourgier, Celine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610684/
https://www.ncbi.nlm.nih.gov/pubmed/31341970
http://dx.doi.org/10.1016/j.ctro.2019.06.001
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author Talbot, Christopher J.
Veldwijk, Marlon R.
Azria, David
Batini, Chiara
Bierbaum, Miriam
Brengues, Muriel
Chang-Claude, Jenny
Johnson, Kerstie
Keller, Anke
Smith, Sheila
Sperk, Elena
Symonds, R. Paul
Wenz, Frederik
West, Catharine M.L.
Herskind, Carsten
Bourgier, Celine
author_facet Talbot, Christopher J.
Veldwijk, Marlon R.
Azria, David
Batini, Chiara
Bierbaum, Miriam
Brengues, Muriel
Chang-Claude, Jenny
Johnson, Kerstie
Keller, Anke
Smith, Sheila
Sperk, Elena
Symonds, R. Paul
Wenz, Frederik
West, Catharine M.L.
Herskind, Carsten
Bourgier, Celine
author_sort Talbot, Christopher J.
collection PubMed
description Predicting which patients will develop adverse reactions to radiotherapy is important for personalised treatment. Prediction will require an algorithm or nomogram combining clinical and biological data. The radiation-induced lymphocyte apoptosis (RILA) assay is the leading candidate as a biological predictor of radiotherapy toxicity. In this study we tested the potential of the assay for standardisation and use in multiple testing laboratories. The assay was standardised and reproducibility determined using samples from healthy volunteers assayed concurrently in three laboratories in Leicester (UK), Mannheim (Germany) and Montpellier (France). RILA assays were performed on samples taken prior to radiotherapy from 1319 cancer patients enrolled in the REQUITE project at multiple centres. The patients were being treated for breast (n = 753), prostate (n = 506) or lung (n = 60) cancer. Inter-laboratory comparisons identified several factors affecting results: storage time, incubation periods and type of foetal calf serum. Following standardisation, there was no significant difference in results between the centres. Significant differences were seen in RILA scores between cancer types (prostate > breast > lung), by smoking status (non-smokers > smokers) and co-morbidity with rheumatoid arthritis (arthritics > non-arthritics). An analysis of acute radiotherapy toxicity showed as expected that RILA assay does not predict most end-points, but unexpectedly did predict acute breast pain. This result may elucidate the mechanism by which the RILA assay predicts late radiotherapy toxicity. The work shows clinical trials involving multiple laboratory measurement of the RILA assay are feasible and the need to account for tumour type and other variables when applying to predictive models.
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spelling pubmed-66106842019-07-24 Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity Talbot, Christopher J. Veldwijk, Marlon R. Azria, David Batini, Chiara Bierbaum, Miriam Brengues, Muriel Chang-Claude, Jenny Johnson, Kerstie Keller, Anke Smith, Sheila Sperk, Elena Symonds, R. Paul Wenz, Frederik West, Catharine M.L. Herskind, Carsten Bourgier, Celine Clin Transl Radiat Oncol Article Predicting which patients will develop adverse reactions to radiotherapy is important for personalised treatment. Prediction will require an algorithm or nomogram combining clinical and biological data. The radiation-induced lymphocyte apoptosis (RILA) assay is the leading candidate as a biological predictor of radiotherapy toxicity. In this study we tested the potential of the assay for standardisation and use in multiple testing laboratories. The assay was standardised and reproducibility determined using samples from healthy volunteers assayed concurrently in three laboratories in Leicester (UK), Mannheim (Germany) and Montpellier (France). RILA assays were performed on samples taken prior to radiotherapy from 1319 cancer patients enrolled in the REQUITE project at multiple centres. The patients were being treated for breast (n = 753), prostate (n = 506) or lung (n = 60) cancer. Inter-laboratory comparisons identified several factors affecting results: storage time, incubation periods and type of foetal calf serum. Following standardisation, there was no significant difference in results between the centres. Significant differences were seen in RILA scores between cancer types (prostate > breast > lung), by smoking status (non-smokers > smokers) and co-morbidity with rheumatoid arthritis (arthritics > non-arthritics). An analysis of acute radiotherapy toxicity showed as expected that RILA assay does not predict most end-points, but unexpectedly did predict acute breast pain. This result may elucidate the mechanism by which the RILA assay predicts late radiotherapy toxicity. The work shows clinical trials involving multiple laboratory measurement of the RILA assay are feasible and the need to account for tumour type and other variables when applying to predictive models. Elsevier 2019-06-10 /pmc/articles/PMC6610684/ /pubmed/31341970 http://dx.doi.org/10.1016/j.ctro.2019.06.001 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Talbot, Christopher J.
Veldwijk, Marlon R.
Azria, David
Batini, Chiara
Bierbaum, Miriam
Brengues, Muriel
Chang-Claude, Jenny
Johnson, Kerstie
Keller, Anke
Smith, Sheila
Sperk, Elena
Symonds, R. Paul
Wenz, Frederik
West, Catharine M.L.
Herskind, Carsten
Bourgier, Celine
Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity
title Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity
title_full Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity
title_fullStr Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity
title_full_unstemmed Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity
title_short Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity
title_sort multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610684/
https://www.ncbi.nlm.nih.gov/pubmed/31341970
http://dx.doi.org/10.1016/j.ctro.2019.06.001
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