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用于检测尿液中脱落肿瘤细胞以识别膀胱癌的微芯片。

Microchips for detection of exfoliated tumor cells in urine for identification of bladder cancer.

机构信息

State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310003, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, Zhejiang Province, 310003, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310029, China.

College of Science, Ningbo University of Technology, Ningbo, Zhejiang Province, 315211, China.

出版信息

Anal Chim Acta. 2018 Dec 31;1044:93-101. doi: 10.1016/j.aca.2018.07.044. Epub 2018 Jul 23.

DOI:10.1016/j.aca.2018.07.044
PMID:30442409
Abstract

Bladder cancer (BC) is a common malignancy, and it accounts for one of the highest management costs among urogenital cancers. As a non-invasive method, urine cytology plays an important role in the detection of exfoliated tumor cells (ETCs) for early diagnosis of BC. However, urine cytology suffers from its low sensitivity and reliance on microscopic examination. To address this issue, an integrated filtration device was developed with a pore size of 5 μm that isolated and enriched ETCs from discarded urine samples, and then quantified ETCs using a microchip ELISA method. The results revealed that the number of urinary ETCs from BC patients (n = 35) was obviously higher than the number of ETCs from healthy donors (n = 20). The ROC curve showed that the integrated filtration microfluidic device had a sensitivity of 77.1% when the specificity was set at 90% in identifying BC patients. Thus, the integrated filtration device holds great potential for the screening of BC or the follow-up analysis of treatment efficacy in point-of-care (POC) settings.

摘要

膀胱癌(BC)是一种常见的恶性肿瘤,在泌尿生殖系统癌症中,其管理费用位居前列。尿液细胞学检查作为一种非侵入性方法,在检测脱落肿瘤细胞(ETCs)以进行 BC 的早期诊断方面发挥着重要作用。然而,尿液细胞学检查存在灵敏度低和依赖显微镜检查的问题。为了解决这一问题,研究人员开发了一种具有 5μm 孔径的集成过滤装置,该装置可从废弃的尿液样本中分离和富集 ETCs,然后使用微芯片 ELISA 方法对 ETCs 进行定量。结果表明,来自 BC 患者(n=35)的尿液 ETCs 数量明显高于健康供体(n=20)的 ETCs 数量。ROC 曲线显示,在将特异性设置为 90%时,集成过滤微流控装置在识别 BC 患者方面的灵敏度为 77.1%。因此,该集成过滤装置在 POCT 环境中具有用于 BC 的筛查或治疗效果的随访分析的巨大潜力。

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