Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity. (September 2019)
- Record Type:
- Journal Article
- Title:
- Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity. (September 2019)
- Main Title:
- Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity
- Authors:
- 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 - Abstract:
- Highlights: The RILA assay is the leading candidate biomarker for radiotherapy toxicity. We describe work to standardise its use across multiple centres. Patient factors including smoking and arthritis were found to affect RILA score. RILA predicts acute breast pain but not other acute end-points. This work establishes the basis for implementing the assay clinically. Abstract: 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 theHighlights: The RILA assay is the leading candidate biomarker for radiotherapy toxicity. We describe work to standardise its use across multiple centres. Patient factors including smoking and arthritis were found to affect RILA score. RILA predicts acute breast pain but not other acute end-points. This work establishes the basis for implementing the assay clinically. Abstract: 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. … (more)
- Is Part Of:
- Clinical and translational radiation oncology. Volume 18(2019)
- Journal:
- Clinical and translational radiation oncology
- Issue:
- Volume 18(2019)
- Issue Display:
- Volume 18, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 18
- Issue:
- 2019
- Issue Sort Value:
- 2019-0018-2019-0000
- Page Start:
- 1
- Page End:
- 8
- Publication Date:
- 2019-09
- Subjects:
- Cancer -- Radiotherapy -- Periodicals
Oncology -- Periodicals
Cancer -- Radiotherapy
Oncology
Radiation Oncology
Neoplasms -- radiotherapy
Translational Medical Research
Periodicals
Electronic journals
Periodicals
616.9940642 - Journal URLs:
- https://www.journals.elsevier.com/clinical-and-translational-radiation-oncology ↗
http://www.sciencedirect.com/science/journal/24056308 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ctro.2019.06.001 ↗
- Languages:
- English
- ISSNs:
- 2405-6308
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11048.xml