Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Street, 060021 Bucharest-6, Romania.
Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.
Sensors (Basel). 2020 Apr 24;20(8):2420. doi: 10.3390/s20082420.
Bladder cancer is one of the most common urologic malignancies, which is more frequent in men than in women. The early diagnosis for this type of cancer still remains a challenge, therefore, the development of a fast screening test for whole blood and tumor tissue samples may save lives. Four biomarkers, p53, E-cadherin, bladder tumor antigen (BTA), and hyaluronic acid were considered for the screening tests using stochastic needle sensors. Three stochastic needle sensors, based on graphite powder and modified with three types of chitosan, were designed and characterized for the screening test. The proposed sensors showed low limits of quantification, and high sensitivity and selectivity levels. The recoveries of p53, E-cadherin, BTA, and hyaluronic acid in whole blood samples and tissue samples were higher than 95.00% with a relative standard deviation lower than 1.00%.
膀胱癌是最常见的泌尿系统恶性肿瘤之一,男性比女性更为常见。这种癌症的早期诊断仍然是一个挑战,因此,开发一种用于全血和肿瘤组织样本的快速筛选测试可能会挽救生命。p53、E-钙黏蛋白、膀胱肿瘤抗原(BTA)和透明质酸被认为是使用随机针传感器进行筛选测试的生物标志物。设计并表征了基于石墨粉并分别用三种壳聚糖修饰的三个随机针传感器,用于筛选测试。所提出的传感器显示出较低的定量下限,以及较高的灵敏度和选择性水平。p53、E-钙黏蛋白、BTA 和透明质酸在全血样本和组织样本中的回收率均高于 95.00%,相对标准偏差低于 1.00%。