Literature DB >> 23849827

A novel precision-engineered microfiltration device for capture and characterisation of bladder cancer cells in urine.

Marc Birkhahn1, Anirban P Mitra, Anthony J Williams, Nancy J Barr, Eila C Skinner, John P Stein, Donald G Skinner, Yu-Chong Tai, Ram H Datar, Richard J Cote.   

Abstract

BACKGROUND: Sensitivity of standard urine cytology for detecting urothelial carcinoma of the bladder (UCB) is low, attributable largely to its inability to process entire samples, paucicellularity and presence of background cells.
OBJECTIVE: Evaluate performance and practical applicability of a novel portable microfiltration device for capture, enumeration and characterisation of exfoliated tumour cells in urine, and compare it with standard urine cytology for UCB detection.
METHODS: A total of 54 urine and bladder wash samples from patients undergoing surveillance for UCB were prospectively evaluated by standard and microfilter-based urine cytology. Head-to-head comparison of quality and performance metrics, and cost effectiveness was conducted for both methodologies.
RESULTS: Five samples were paucicellular by standard cytology; no samples processed by microfilter cytology were paucicellular. Standard cytology had 33.3% more samples with background cells that limited evaluation (p<0.001). Microfilter cytology was more concordant (κ=50.4%) than standard cytology (κ=33.5%) with true UCB diagnosis. Sensitivity, specificity and accuracy were higher for microfilter cytology compared to standard cytology (53.3%/100%/79.2% versus 40%/95.8%/69.9%, respectively). Microfilter-captured cells were amenable to downstream on-chip molecular analyses. A 40 ml sample was processed in under 4 min by microfilter cytology compared to 5.5 min by standard cytology. Median microfilter cytology processing and set-up costs were approximately 63% cheaper and 80 times lower than standard cytology, respectively.
CONCLUSIONS: The microfiltration device represents a novel non-invasive UCB detection system that is economical, rapid, versatile and has potentially better quality and performance metrics than routine urine cytology, the current standard-of-care.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bladder cancer; Nanotechnology; Screening; Surveillance; Urine cytology

Mesh:

Substances:

Year:  2013        PMID: 23849827      PMCID: PMC3787946          DOI: 10.1016/j.ejca.2013.04.033

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  25 in total

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2.  Portable filter-based microdevice for detection and characterization of circulating tumor cells.

Authors:  Henry K Lin; Siyang Zheng; Anthony J Williams; Marija Balic; Susan Groshen; Howard I Scher; Martin Fleisher; Walter Stadler; Ram H Datar; Yu-Chong Tai; Richard J Cote
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Review 3.  The diagnosis and staging of bladder cancer: from RBCs to TURs.

Authors:  Adrienne J K Carmack; Mark S Soloway
Journal:  Urology       Date:  2006-03       Impact factor: 2.649

4.  The effect of changes in Medicare reimbursement on the practice of office and hospital-based endoscopic surgery for bladder cancer.

Authors:  Micah L Hemani; Danil V Makarov; William C Huang; Samir S Taneja
Journal:  Cancer       Date:  2010-03-01       Impact factor: 6.860

Review 5.  Molecular pathways in invasive bladder cancer: new insights into mechanisms, progression, and target identification.

Authors:  Anirban P Mitra; Ram H Datar; Richard J Cote
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6.  Long-term outcome of bladder papillary urothelial neoplasms of low malignant potential.

Authors:  Y Fujii; S Kawakami; F Koga; T Nemoto; K Kihara
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7.  Diagnostic significance of atypical category in the voided urine samples: A retrospective study in a tertiary care center.

Authors:  Ghadeer A Mokhtar; Mohamed Al-Dousari; Doaa Al-Ghamedi
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8.  Generation of a concise gene panel for outcome prediction in urinary bladder cancer.

Authors:  Anirban P Mitra; Vincenzo Pagliarulo; Dongyun Yang; Frederic M Waldman; Ram H Datar; Donald G Skinner; Susan Groshen; Richard J Cote
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9.  Superficial bladder cancer: an update on etiology, molecular development, classification, and natural history.

Authors:  Erik Pasin; David Y Josephson; Anirban P Mitra; Richard J Cote; John P Stein
Journal:  Rev Urol       Date:  2008

Review 10.  Molecular pathogenesis and diagnostics of bladder cancer.

Authors:  Anirban P Mitra; Richard J Cote
Journal:  Annu Rev Pathol       Date:  2009       Impact factor: 23.472

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  8 in total

Review 1.  Molecular substratification of bladder cancer: moving towards individualized patient management.

Authors:  Anirban P Mitra
Journal:  Ther Adv Urol       Date:  2016-03-28

Review 2.  Urine biopsy technologies: Cancer and beyond.

Authors:  Chun Kwan Chen; Junchen Liao; Man Sze Li; Bee Luan Khoo
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3.  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

4.  Novel Non-Invasive Diagnosis of Bladder Cancer in Urine Based on Multifunctional Nanoparticles.

Authors:  Jinshan Xu; Shuxiong Zeng; Jun Li; Li Gao; Wenjun Le; Xin Huang; Guandan Wang; Bingdi Chen; Zhensheng Zhang; Chuanliang Xu
Journal:  Front Cell Dev Biol       Date:  2022-01-31

Review 5.  Advances in the Biology, Detection Techniques, and Clinical Applications of Circulating Tumor Cells.

Authors:  Siwen Wu; Shubi Zhao; Dawei Cui; Jue Xie
Journal:  J Oncol       Date:  2022-09-02       Impact factor: 4.501

6.  Filtration Device for On-Site Collection, Storage and Shipment of Cells from Urine and Its Application to DNA-Based Detection of Bladder Cancer.

Authors:  Elin Andersson; Christina M Dahmcke; Kenneth Steven; Louise K Larsen; Per Guldberg
Journal:  PLoS One       Date:  2015-07-07       Impact factor: 3.240

7.  Size-based enrichment of exfoliated tumor cells in urine increases the sensitivity for DNA-based detection of bladder cancer.

Authors:  Elin Andersson; Kenneth Steven; Per Guldberg
Journal:  PLoS One       Date:  2014-04-14       Impact factor: 3.240

8.  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

  8 in total

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