Circulating tumor cell phenotyping via high‐throughput acoustic separation
The study of circulating tumor cells (CTCs) offers pathways to develop new diagnostic and prognostic biomarkers that benefit cancer treatments. In order to fully exploit and interpret the information provided by CTCs, the development of a platform is reported that integrates acoustics and microfluid...
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sg-ntu-dr.10356-1371692023-07-14T15:57:58Z Circulating tumor cell phenotyping via high‐throughput acoustic separation Wu, Mengxi Huang, Po-Hsun Zhang, Rui Mao, Zhangming Chen, Chuyi Kemeny, Gabor Li, Peng Lee, Adrian V. Gyanchandani, Rekha Armstrong, Andrew J. Dao, Ming Suresh, Subra Huang, Tony Jun School of Materials Science & Engineering Engineering::Materials Acoustofluidics Cancer Phenotyping The study of circulating tumor cells (CTCs) offers pathways to develop new diagnostic and prognostic biomarkers that benefit cancer treatments. In order to fully exploit and interpret the information provided by CTCs, the development of a platform is reported that integrates acoustics and microfluidics to isolate rare CTCs from peripheral blood in high throughput while preserving their structural, biological, and functional integrity. Cancer cells are first isolated from leukocytes with a throughput of 7.5 mL h-1 , achieving a recovery rate of at least 86% while maintaining the cells' ability to proliferate. High-throughput acoustic separation enables statistical analysis of isolated CTCs from prostate cancer patients to be performed to determine their size distribution and phenotypic heterogeneity for a range of biomarkers, including the visualization of CTCs with a loss of expression for the prostate specific membrane antigen. The method also enables the isolation of even rarer, but clinically important, CTC clusters. Accepted version 2020-03-04T06:43:53Z 2020-03-04T06:43:53Z 2018 Journal Article Wu, M., Huang, P.-H., Zhang, R., Mao, Z., Chen, C., Kemeny, G., . . . Huang, T. J. (2018). Circulating tumor cell phenotyping via high‐throughput acoustic separation. Small, 14(32), 1801131-. doi:10.1002/smll.201801131 1613-6810 https://hdl.handle.net/10356/137169 10.1002/smll.201801131 29968402 2-s2.0-85050873629 32 14 en Small This is the peer reviewed version of the following article: Wu, M., Huang, P.-H., Zhang, R., Mao, Z., Chen, C., Kemeny, G., . . . Huang, T. J. (2018). Circulating tumor cell phenotyping via high‐throughput acoustic separation. Small, 14(32), 1801131-. doi:10.1002/smll.201801131, which has been published in final form at https://doi.org/10.1002/smll.201801131. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. application/pdf |
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Engineering::Materials Acoustofluidics Cancer Phenotyping Wu, Mengxi Huang, Po-Hsun Zhang, Rui Mao, Zhangming Chen, Chuyi Kemeny, Gabor Li, Peng Lee, Adrian V. Gyanchandani, Rekha Armstrong, Andrew J. Dao, Ming Suresh, Subra Huang, Tony Jun Circulating tumor cell phenotyping via high‐throughput acoustic separation |
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The study of circulating tumor cells (CTCs) offers pathways to develop new diagnostic and prognostic biomarkers that benefit cancer treatments. In order to fully exploit and interpret the information provided by CTCs, the development of a platform is reported that integrates acoustics and microfluidics to isolate rare CTCs from peripheral blood in high throughput while preserving their structural, biological, and functional integrity. Cancer cells are first isolated from leukocytes with a throughput of 7.5 mL h-1 , achieving a recovery rate of at least 86% while maintaining the cells' ability to proliferate. High-throughput acoustic separation enables statistical analysis of isolated CTCs from prostate cancer patients to be performed to determine their size distribution and phenotypic heterogeneity for a range of biomarkers, including the visualization of CTCs with a loss of expression for the prostate specific membrane antigen. The method also enables the isolation of even rarer, but clinically important, CTC clusters. |
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School of Materials Science & Engineering |
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School of Materials Science & Engineering Wu, Mengxi Huang, Po-Hsun Zhang, Rui Mao, Zhangming Chen, Chuyi Kemeny, Gabor Li, Peng Lee, Adrian V. Gyanchandani, Rekha Armstrong, Andrew J. Dao, Ming Suresh, Subra Huang, Tony Jun |
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Article |
author |
Wu, Mengxi Huang, Po-Hsun Zhang, Rui Mao, Zhangming Chen, Chuyi Kemeny, Gabor Li, Peng Lee, Adrian V. Gyanchandani, Rekha Armstrong, Andrew J. Dao, Ming Suresh, Subra Huang, Tony Jun |
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Wu, Mengxi |
title |
Circulating tumor cell phenotyping via high‐throughput acoustic separation |
title_short |
Circulating tumor cell phenotyping via high‐throughput acoustic separation |
title_full |
Circulating tumor cell phenotyping via high‐throughput acoustic separation |
title_fullStr |
Circulating tumor cell phenotyping via high‐throughput acoustic separation |
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Circulating tumor cell phenotyping via high‐throughput acoustic separation |
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circulating tumor cell phenotyping via high‐throughput acoustic separation |
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2020 |
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https://hdl.handle.net/10356/137169 |
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