ArticleClinical and translational radiation oncology2019
Multi-centre technical evaluation of the radiation-induced lymphocyte apoptosis assay as a predictive test for radiotherapy toxicity.
Article in Clinical and translational radiation oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Early and late CTCAE and patient-reported outcomes following prostate radiotherapy in the REQUITE cohort.Clinical and translational radiation oncology · 2026Article
- The Role of Predictive Biomarkers in Modern Prostate Cancer Radiotherapy: A Literature Review on Personalised Treatment Strategies and the Prediction of Adverse Effects.Life (Basel, Switzerland) · 2025Review
- Towards Personalized Radiotherapy in Pelvic Cancer: Patient-Related Risk Factors for Late Radiation Toxicity.Current oncology (Toronto, Ont.) · 2025Review
- Assessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients.Scientific reports · 2025Article
- Longitudinal cosmetic outcome after planned IORT boost with low kV X-rays-monocentric results from the TARGIT BQR registry.Translational cancer research · 2023Article
- Predicting acute radiation dermatitis in breast cancer: a prospective cohort study.BMC cancer · 2023Article
- Assessment of Individual Radiosensitivity in Breast Cancer Patients Using a Combination of Biomolecular Markers.Biomedicines · 2023Article
- The Normal, the Radiosensitive, and the Ataxic in the Era of Precision Radiotherapy: A Narrative Review.Cancers · 2022Review
- Association of polymorphisms in TGFB1, XRCC1, XRCC3 genes and CD8 T-lymphocyte apoptosis with adverse effect of radiotherapy for prostate cancer.Scientific reports · 2022Article
- Improving Patients' Life Quality after Radiotherapy Treatment by Predicting Late Toxicities.Cancers · 2022Review
- Radiation Biomarkers in Large Scale Human Health Effects Studies.Journal of personalized medicine · 2020Article
- Molecular Profiling for Predictors of Radiosensitivity in Patients with Breast or Head-and-Neck Cancer.Cancers · 2020Article
- The Possibility of Using Genotoxicity, Oxidative Stress and Inflammation Blood Biomarkers to Predict the Occurrence of Late Cutaneous Side Effects after Radiotherapy.Antioxidants (Basel, Switzerland) · 2020Article
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Authors and funding
16 authors.
Funding
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.
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