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

机译:辐射诱导的淋巴细胞凋亡测定的多中心技术评估作为放疗毒性的预测测试

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摘要

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.
机译:预测哪些患者会对放疗产生不良反应对于个性化治疗很重要。预测将需要结合临床和生物学数据的算法或列线图。放射诱导的淋巴细胞凋亡(RILA)分析是放射治疗毒性的生物学预测指标的主要候选方法。在这项研究中,我们测试了该测定法在多个测试实验室中标准化和使用的潜力。该测定法经过标准化,并使用来自健康志愿者的样品测定了可重复性,这些样品在莱斯特(英国),曼海姆(德国)和蒙彼利埃(法国)的三个实验室中同时测定)。对在多个中心参加REQUITE项目的1319名癌症患者进行放射治疗前的样品进行了RILA分析。这些患者正在接受乳腺癌(n = 75),前列腺癌(n = 506)或肺癌(n = 60)的实验室间比较,确定了影响结果的几个因素:储存时间,潜伏期和胎牛血清的类型。标准化之后,各中心之间的结果没有显着差异。在癌症类型(前列腺>乳腺癌>肺),吸烟状况(不吸烟者>吸烟者)和类风湿关节炎合并症(关节炎>非关节炎)之间,RILA评分存在显着差异。正如预期的那样,RILA分析不能预测大多数终点,但出乎意料的是可以预测急性乳房疼痛。该结果可能阐明了RILA分析预测晚期放射治疗毒性的机理。研究表明,涉及RILA分析的多个实验室测量的临床试验是可行的,并且在应用于预测模型时需要考虑肿瘤类型和其他变量。

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