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

Bladder cancer (BC) is a disease that requires lifelong surveillance due to its high recurrence rate. An efficient method for the non-invasive rapid monitoring of patient prognosis and downstream phenotype characterization is warranted. Here, we develop an integrated procedure to detect aggressive m...

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Autores principales: Khoo, Bee Luan, Bouquerel, Charlotte, Durai, Pradeep, Anil, Sarannya, Goh, Benjamin, Wu, Bingcheng, Raman, Lata, Mahendran, Ratha, Thamboo, Thomas, Chiong, Edmund, Lim, Chwee Teck
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6770607/
https://www.ncbi.nlm.nih.gov/pubmed/31480265
http://dx.doi.org/10.3390/cancers11091274
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author Khoo, Bee Luan
Bouquerel, Charlotte
Durai, Pradeep
Anil, Sarannya
Goh, Benjamin
Wu, Bingcheng
Raman, Lata
Mahendran, Ratha
Thamboo, Thomas
Chiong, Edmund
Lim, Chwee Teck
author_facet Khoo, Bee Luan
Bouquerel, Charlotte
Durai, Pradeep
Anil, Sarannya
Goh, Benjamin
Wu, Bingcheng
Raman, Lata
Mahendran, Ratha
Thamboo, Thomas
Chiong, Edmund
Lim, Chwee Teck
author_sort Khoo, Bee Luan
collection PubMed
description Bladder cancer (BC) is a disease that requires lifelong surveillance due to its high recurrence rate. An efficient method for the non-invasive rapid monitoring of patient prognosis and downstream phenotype characterization is warranted. Here, we develop an integrated procedure to detect aggressive mesenchymal exfoliated bladder cancer cells (EBCCs) from patients in a label-free manner. Using a combination of filtration and inertial focusing principles, the procedure allowed the focusing of EBCCs in a single stream-line for high-throughput separation from other urine components such as large squamous cells and blood cells using a microfluidic sorting device. Characterization of enriched cells can be completed within hours, suggesting a potential utility for real-time detection. We also demonstrate high efficiency of cancer cell recovery (93.3 ± 4.8%) and specific retrieval of various epithelial to mesenchymal transition (EMT) phenotype cell fractions from respective outlets of the microfluidic device. EMT is closely associated with metastasis, drug resistance and tumor-initiating potential. This procedure is validated with clinical samples, and further demonstrate the efficacy of bladder wash procedure to reduce EBCCs counts over time. Overall, the uniqueness of a rapid and non-invasive method permitting the separation of different EMT phenotypes shows high potential for clinical utility. We expect this approach will better facilitate the routine screening procedure in BC and greatly enhance personalized treatment.
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spelling pubmed-67706072019-10-30 Detection of Clinical Mesenchymal Cancer Cells from Bladder Wash Urine for Real-Time Detection and Prognosis Khoo, Bee Luan Bouquerel, Charlotte Durai, Pradeep Anil, Sarannya Goh, Benjamin Wu, Bingcheng Raman, Lata Mahendran, Ratha Thamboo, Thomas Chiong, Edmund Lim, Chwee Teck Cancers (Basel) Article Bladder cancer (BC) is a disease that requires lifelong surveillance due to its high recurrence rate. An efficient method for the non-invasive rapid monitoring of patient prognosis and downstream phenotype characterization is warranted. Here, we develop an integrated procedure to detect aggressive mesenchymal exfoliated bladder cancer cells (EBCCs) from patients in a label-free manner. Using a combination of filtration and inertial focusing principles, the procedure allowed the focusing of EBCCs in a single stream-line for high-throughput separation from other urine components such as large squamous cells and blood cells using a microfluidic sorting device. Characterization of enriched cells can be completed within hours, suggesting a potential utility for real-time detection. We also demonstrate high efficiency of cancer cell recovery (93.3 ± 4.8%) and specific retrieval of various epithelial to mesenchymal transition (EMT) phenotype cell fractions from respective outlets of the microfluidic device. EMT is closely associated with metastasis, drug resistance and tumor-initiating potential. This procedure is validated with clinical samples, and further demonstrate the efficacy of bladder wash procedure to reduce EBCCs counts over time. Overall, the uniqueness of a rapid and non-invasive method permitting the separation of different EMT phenotypes shows high potential for clinical utility. We expect this approach will better facilitate the routine screening procedure in BC and greatly enhance personalized treatment. MDPI 2019-08-30 /pmc/articles/PMC6770607/ /pubmed/31480265 http://dx.doi.org/10.3390/cancers11091274 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khoo, Bee Luan
Bouquerel, Charlotte
Durai, Pradeep
Anil, Sarannya
Goh, Benjamin
Wu, Bingcheng
Raman, Lata
Mahendran, Ratha
Thamboo, Thomas
Chiong, Edmund
Lim, Chwee Teck
Detection of Clinical Mesenchymal Cancer Cells from Bladder Wash Urine for Real-Time Detection and Prognosis
title Detection of Clinical Mesenchymal Cancer Cells from Bladder Wash Urine for Real-Time Detection and Prognosis
title_full Detection of Clinical Mesenchymal Cancer Cells from Bladder Wash Urine for Real-Time Detection and Prognosis
title_fullStr Detection of Clinical Mesenchymal Cancer Cells from Bladder Wash Urine for Real-Time Detection and Prognosis
title_full_unstemmed Detection of Clinical Mesenchymal Cancer Cells from Bladder Wash Urine for Real-Time Detection and Prognosis
title_short Detection of Clinical Mesenchymal Cancer Cells from Bladder Wash Urine for Real-Time Detection and Prognosis
title_sort detection of clinical mesenchymal cancer cells from bladder wash urine for real-time detection and prognosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6770607/
https://www.ncbi.nlm.nih.gov/pubmed/31480265
http://dx.doi.org/10.3390/cancers11091274
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