Comprehensive optimization of urinary exfoliated tumor cells tests in bladder cancer with a promising microfluidic platform

Abstract Background Enrichment of urinary exfoliated tumor cells (UETCs) is a noninvasive way of bladder cancer diagnosis, but the lack of specific capture and identification of tumor cells from the urine remains a limitation that impedes the development of liquid biopsy. Methods The CytoBot® 2000,...

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Main Authors: Fengbin Gao, Jie Wang, Yanlan Yu, Jing Yan, Guoqing Ding
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Cancer Medicine
Subjects:
Online Access:https://doi.org/10.1002/cam4.5481
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author Fengbin Gao
Jie Wang
Yanlan Yu
Jing Yan
Guoqing Ding
author_facet Fengbin Gao
Jie Wang
Yanlan Yu
Jing Yan
Guoqing Ding
author_sort Fengbin Gao
collection DOAJ
description Abstract Background Enrichment of urinary exfoliated tumor cells (UETCs) is a noninvasive way of bladder cancer diagnosis, but the lack of specific capture and identification of tumor cells from the urine remains a limitation that impedes the development of liquid biopsy. Methods The CytoBot® 2000, a novel circulating cell isolation and enrichment platform, was used for UETCs isolation after comprehensive optimization. The commercial cell lines of bladder cancer were used in spiking assay for cell recovery test. The flow cytometry and immunofluorescent staining assays were performed for expression validation of capture target and identification markers. The performance of optimized platform was validated by 159 clinical samples and analyzed using receiver operator characteristic curve. Results The chip that had a pore diameter of 15*20 μm could reduce the background residues while maintaining a higher cell recovery rate. We found that the cell capture ability of chip significantly improved after anti‐EpCam antibody encapsulation, but not with T4L6FM1. In identification system optimization, the spiking assay and validation of clinical sample showed that the performance of CK20 and DBC‐1 were better that pan‐CK in tumor cell identification, in addition, the staining quality is more legible with CK20. Conclusion The optimized capture chip is more specific for UETCs isolation. CK20 and DBC‐1 are both sensitive biomarkers of UETCs in bladder cancer diagnosis. The performance of this optimized platform is excellent in clinical test that improves the accuracy of urine cell testing and provides a new alternative for the clinical application of BLCA liquid biopsy assessment.
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spelling doaj.art-34bb29f88ca64b29a45a648d58938fb92023-04-02T20:55:00ZengWileyCancer Medicine2045-76342023-03-011267283729310.1002/cam4.5481Comprehensive optimization of urinary exfoliated tumor cells tests in bladder cancer with a promising microfluidic platformFengbin Gao0Jie Wang1Yanlan Yu2Jing Yan3Guoqing Ding4Department of Urology, Sir Run Run Shaw Hospital Zhejiang University School of Medicine Hangzhou ChinaHolosensor Medical Ltd. Suzhou ChinaDepartment of Urology, Sir Run Run Shaw Hospital Zhejiang University School of Medicine Hangzhou ChinaHolosensor Medical Ltd. Suzhou ChinaDepartment of Urology, Sir Run Run Shaw Hospital Zhejiang University School of Medicine Hangzhou ChinaAbstract Background Enrichment of urinary exfoliated tumor cells (UETCs) is a noninvasive way of bladder cancer diagnosis, but the lack of specific capture and identification of tumor cells from the urine remains a limitation that impedes the development of liquid biopsy. Methods The CytoBot® 2000, a novel circulating cell isolation and enrichment platform, was used for UETCs isolation after comprehensive optimization. The commercial cell lines of bladder cancer were used in spiking assay for cell recovery test. The flow cytometry and immunofluorescent staining assays were performed for expression validation of capture target and identification markers. The performance of optimized platform was validated by 159 clinical samples and analyzed using receiver operator characteristic curve. Results The chip that had a pore diameter of 15*20 μm could reduce the background residues while maintaining a higher cell recovery rate. We found that the cell capture ability of chip significantly improved after anti‐EpCam antibody encapsulation, but not with T4L6FM1. In identification system optimization, the spiking assay and validation of clinical sample showed that the performance of CK20 and DBC‐1 were better that pan‐CK in tumor cell identification, in addition, the staining quality is more legible with CK20. Conclusion The optimized capture chip is more specific for UETCs isolation. CK20 and DBC‐1 are both sensitive biomarkers of UETCs in bladder cancer diagnosis. The performance of this optimized platform is excellent in clinical test that improves the accuracy of urine cell testing and provides a new alternative for the clinical application of BLCA liquid biopsy assessment.https://doi.org/10.1002/cam4.5481bladder cancerCK20diagnosisurinary exfoliated tumor cells
spellingShingle Fengbin Gao
Jie Wang
Yanlan Yu
Jing Yan
Guoqing Ding
Comprehensive optimization of urinary exfoliated tumor cells tests in bladder cancer with a promising microfluidic platform
Cancer Medicine
bladder cancer
CK20
diagnosis
urinary exfoliated tumor cells
title Comprehensive optimization of urinary exfoliated tumor cells tests in bladder cancer with a promising microfluidic platform
title_full Comprehensive optimization of urinary exfoliated tumor cells tests in bladder cancer with a promising microfluidic platform
title_fullStr Comprehensive optimization of urinary exfoliated tumor cells tests in bladder cancer with a promising microfluidic platform
title_full_unstemmed Comprehensive optimization of urinary exfoliated tumor cells tests in bladder cancer with a promising microfluidic platform
title_short Comprehensive optimization of urinary exfoliated tumor cells tests in bladder cancer with a promising microfluidic platform
title_sort comprehensive optimization of urinary exfoliated tumor cells tests in bladder cancer with a promising microfluidic platform
topic bladder cancer
CK20
diagnosis
urinary exfoliated tumor cells
url https://doi.org/10.1002/cam4.5481
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