Literature DB >> 29789419

Detection of Urothelial Bladder Carcinoma via Microfluidic Immunoassay and Single-Cell DNA Copy-Number Alteration Analysis of Captured Urinary-Exfoliated Tumor Cells.

Anqi Chen1, Guanghou Fu2, Zhijie Xu2, Yukun Sun1, Xiaoyi Chen2, Kok Suen Cheng1, Kuang Hong Neoh1, Zhewen Tang1, Shifu Chen3, Ming Liu3, Tanxiao Huang3, Yun Dai2, Qibo Wang2, Jing Jin2, Baiye Jin4, Ray P S Han5,6.   

Abstract

The increasing incidence of bladder cancer and its high rate of recurrence over a 5-year period necessitate the need for diagnosis and surveillance amelioration. Cystoscopy and urinary cytology are the current tools, and molecular techniques such as BTA stat, NMP22, survivin mRNA, and urovysion FISH have attracted attention; however, they suffer from insufficient sensitivity or specificity. We developed a novel microfluidic approach for harvesting intact urinary-exfoliated tumor cells (UETC), either individually or in clusters, in a clean and segregated environment, which is crucial to minimize cross-contamination and misreads. To reliably and accurately identify UETC, our quantitative immunoassay involved concurrent use of two oncoproteins CK20 and CD44v6 antigen. CK20 is an intermediate filament protein overexpressed in urothelial tumors, and CD44v6 is a membrane adhesion molecule closely associated with cell invasion, tumor progression, and metastatic spread. Single-cell whole-genome sequencing on 12 captured UETCs and copy number alteration analysis showed that 11/12 (91.7%) of the immunofluorescence-identified UETCs possessed genomic instability. A total of 79 patients with bladder cancer and 43 age-matched normal controls (NC) were enrolled in the study. We detected considerably higher UETC counts in patients with bladder cancer versus the NC group [53.3 (10.7-1001.9) vs. 0.0 (0-3.0) UETCs/10 mL; P < 0.0001]. For bladder cancer detection, a stratified 10-fold cross-validation of training data reveals an overall predictive accuracy of 0.84 [95% confidence interval (CI), 0.76-0.93] with an 89.8% (95% CI, 71.5%-86.4%) for sensitivity and 71.5% (95% CI, 59.7%-83.3%) for specificity. Overall, the microfluidic immunoassay demonstrates increased sensitivity and specificity compared with other techniques for the detection of bladder cancer.Significance: A unique and promising diagnostic assay for bladder cancer is proposed with potential clinical utility as a complement for cytology. Cancer Res; 78(14); 4073-85. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29789419     DOI: 10.1158/0008-5472.CAN-17-2615

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  6 in total

1.  Ball-lens assisted sensitivity improvement of fluorescence immunoassay in microchannels.

Authors:  Qingquan Zhang; Jiajia Li; Yuting Su; Xiaoyan Pan; Hongwei Gai
Journal:  RSC Adv       Date:  2021-08-13       Impact factor: 3.361

2.  Detection of Clinical Mesenchymal Cancer Cells from Bladder Wash Urine for Real-Time Detection and Prognosis.

Authors:  Bee Luan Khoo; Charlotte Bouquerel; Pradeep Durai; Sarannya Anil; Benjamin Goh; Bingcheng Wu; Lata Raman; Ratha Mahendran; Thomas Thamboo; Edmund Chiong; Chwee Teck Lim
Journal:  Cancers (Basel)       Date:  2019-08-30       Impact factor: 6.639

3.  Non-invasive diagnosis and surveillance of bladder cancer with driver and passenger DNA methylation in a prospective cohort study.

Authors:  Yu Xiao; Lingao Ju; Kaiyu Qian; Wan Jin; Gang Wang; Yan Zhao; Wei Jiang; Nan Liu; Kai Wu; Minsheng Peng; Rui Cao; Sheng Li; Hongjie Shi; Yan Gong; Hang Zheng; Tongzu Liu; Yongwen Luo; Haoli Ma; Luyuan Chang; Gang Li; Xinyue Cao; Ye Tian; Zilin Xu; Zhonghua Yang; Liuying Shan; Zhongqiang Guo; Dongai Yao; Xianlong Zhou; Xintong Chen; Zicheng Guo; Dongmei Liu; Song Xu; Chundong Ji; Fang Yu; Xin Hong; Jun Luo; Hong Cao; Yi Zhang; Xinghuan Wang
Journal:  Clin Transl Med       Date:  2022-08

4.  Microfluidic Assaying of Circulating Tumor Cells and Its Application in Risk Stratification of Urothelial Bladder Cancer.

Authors:  Guanghou Fu; Kok Suen Cheng; Anqi Chen; Zhijie Xu; Xiaoyi Chen; Junjie Tian; Congcong Xu; Yukun Sun; Kuang Hong Neoh; Yun Dai; Ray P S Han; Baiye Jin
Journal:  Front Oncol       Date:  2021-06-10       Impact factor: 6.244

5.  A Microfluidic Detection System for Bladder Cancer Tumor Cells.

Authors:  Shuxing Lv; Jinwei Yu; Yan Zhao; Hongxiang Li; Fang Zheng; Ning Liu; Dahua Li; Xuguo Sun
Journal:  Micromachines (Basel)       Date:  2019-12-11       Impact factor: 2.891

6.  ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity for a serendipitous encounter with circulating hybrid cells.

Authors:  Kok Suen Cheng; Rongbin Pan; Huaping Pan; Binglin Li; Stephene Shadrack Meena; Huan Xing; Ying Jing Ng; Kaili Qin; Xuan Liao; Benson Kiprono Kosgei; Zhipeng Wang; Ray P S Han
Journal:  Theranostics       Date:  2020-09-02       Impact factor: 11.556

  6 in total

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