TY  - JOUR
AU  - Talbot, Christopher J
AU  - Veldwijk, Marlon R
AU  - Azria, David
AU  - Batini, Chiara
AU  - Bierbaum, Miriam
AU  - Brengues, Muriel
AU  - Chang-Claude, Jenny
AU  - Johnson, Kerstie
AU  - Keller, Anke
AU  - Smith, Sheila
AU  - Sperk, Elena
AU  - Symonds, R Paul
AU  - Wenz, Frederik
AU  - West, Catharine M L
AU  - Herskind, Carsten
AU  - Bourgier, Celine
TI  - Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity.
JO  - Clinical and translational radiation oncology
VL  - 18
SN  - 2405-6308
CY  - Amsterdam
PB  - Elsevier
M1  - DKFZ-2019-01901
SP  - 1 - 8
PY  - 2019
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - pmid:31341970
C2  - pmc:PMC6610684
DO  - DOI:10.1016/j.ctro.2019.06.001
UR  - https://inrepo02.dkfz.de/record/144449
ER  -