Medipally Dinesh K R, Nguyen Thi Nguyet Que, Bryant Jane, Untereiner Valérie, Sockalingum Ganesh D, Cullen Daniel, Noone Emma, Bradshaw Shirley, Finn Marie, Dunne Mary, Shannon Aoife M, Armstrong John, Lyng Fiona M, Meade Aidan D
Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, D08 NF82 Dublin, Ireland.
School of Physics & Clinical & Optometric Sciences, Technological University Dublin, D08 NF82 Dublin, Ireland.
Cancers (Basel). 2019 Jul 2;11(7):925. doi: 10.3390/cancers11070925.
Radiation therapy (RT) is used to treat approximately 50% of all cancer patients. However, RT causes a wide range of adverse late effects that can affect a patient's quality of life. There are currently no predictive assays in clinical use to identify patients at risk of normal tissue radiation toxicity. This study aimed to investigate the potential of Fourier transform infrared (FTIR) spectroscopy for monitoring radiotherapeutic response. Blood plasma was acquired from 53 prostate cancer patients at five different time points: prior to treatment, after hormone treatment, at the end of radiotherapy, two months post radiotherapy and eight months post radiotherapy. FTIR spectra were recorded from plasma samples at all time points and the data was analysed using MATLAB software. Discrimination was observed between spectra recorded at baseline versus follow up time points, as well as between spectra from patients showing minimal and severe acute and late toxicity using principal component analysis. A partial least squares discriminant analysis model achieved sensitivity and specificity rates ranging from 80% to 99%. This technology may have potential to monitor radiotherapeutic response in prostate cancer patients using non-invasive blood plasma samples and could lead to individualised patient radiotherapy.
放射治疗(RT)用于治疗约50%的癌症患者。然而,放射治疗会引发一系列广泛的不良晚期效应,这些效应会影响患者的生活质量。目前临床上尚无用于识别正常组织放射毒性风险患者的预测性检测方法。本研究旨在探讨傅里叶变换红外(FTIR)光谱监测放射治疗反应的潜力。从53名前列腺癌患者在五个不同时间点采集血浆:治疗前、激素治疗后、放疗结束时、放疗后两个月和放疗后八个月。在所有时间点记录血浆样本的FTIR光谱,并使用MATLAB软件分析数据。使用主成分分析观察到基线记录的光谱与随访时间点记录的光谱之间,以及显示最小和严重急性及晚期毒性的患者的光谱之间存在差异。偏最小二乘判别分析模型的灵敏度和特异度率在80%至99%之间。这项技术可能有潜力使用非侵入性血浆样本监测前列腺癌患者的放射治疗反应,并可能导致个体化的患者放疗。