Zhu Simian, Huang Zhihong, Nabi Ghulam
Division of Imaging Science and Technology, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
School of Science and Engineering, University of Dundee, Dundee, DD1 4HN, UK.
Biomed Opt Express. 2020 Jan 29;11(2):1175-1185. doi: 10.1364/BOE.380629. eCollection 2020 Feb 1.
This study outlines a simple fluorometric optical sensor system for the sensitive, real time measurement of volatile organic compounds (VOCs) as biomarkers of urinary bladder cancer in patients presenting with frank hematuria and confirmed to have the disease on histopathology. Arrays of 24 sensor points based on fluorescence VOC sensitive materials were made. Urine samples of 38 consecutive patients with pathologically confirmed bladder tumours and 41 age and gender matched healthy controls were recruited and analysed using this sensor array. This system correctly classified 68 out of 79 urine samples with 84.21% sensitivity and 87.80% specificity; the system also achieved 66.67% sensitivity and 75.00% specificity for classification of high-grade and low-grade bladder cancer patients. This study showed promising results in the detection of urinary bladder cancer as well as to classify high grade versus low grade bladder cancers.
本研究概述了一种简单的荧光光学传感器系统,用于灵敏、实时测量挥发性有机化合物(VOCs),这些化合物作为膀胱癌的生物标志物,存在于出现肉眼血尿且经组织病理学确诊患有该病的患者中。制作了基于荧光VOC敏感材料的24个传感器点的阵列。招募了38例经病理证实患有膀胱肿瘤的连续患者以及41例年龄和性别匹配的健康对照的尿液样本,并使用该传感器阵列进行分析。该系统正确分类了79份尿液样本中的68份,灵敏度为84.21%,特异性为87.80%;该系统对高级别和低级别膀胱癌患者进行分类时,灵敏度为66.67%,特异性为75.00%。这项研究在膀胱癌检测以及区分高级别与低级别膀胱癌方面显示出了有前景的结果。