Monolithic Chip for High-throughput Blood Cell Depletion to Sort Rare Circulating Tumor Cells

Abstract Circulating tumor cells (CTCs) are a treasure trove of information regarding the location, type and stage of cancer and are being pursued as both a diagnostic target and a means of guiding personalized treatment. Most isolation technologies utilize properties of the CTCs themselves such as...

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Autores principales: Fabio Fachin, Philipp Spuhler, Joseph M. Martel-Foley, Jon F. Edd, Thomas A. Barber, John Walsh, Murat Karabacak, Vincent Pai, Melissa Yu, Kyle Smith, Henry Hwang, Jennifer Yang, Sahil Shah, Ruby Yarmush, Lecia V. Sequist, Shannon L. Stott, Shyamala Maheswaran, Daniel A. Haber, Ravi Kapur, Mehmet Toner
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/451a9d3337944460bed973cc5aa9b39f
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spelling oai:doaj.org-article:451a9d3337944460bed973cc5aa9b39f2021-12-02T15:05:46ZMonolithic Chip for High-throughput Blood Cell Depletion to Sort Rare Circulating Tumor Cells10.1038/s41598-017-11119-x2045-2322https://doaj.org/article/451a9d3337944460bed973cc5aa9b39f2017-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-11119-xhttps://doaj.org/toc/2045-2322Abstract Circulating tumor cells (CTCs) are a treasure trove of information regarding the location, type and stage of cancer and are being pursued as both a diagnostic target and a means of guiding personalized treatment. Most isolation technologies utilize properties of the CTCs themselves such as surface antigens (e.g., epithelial cell adhesion molecule or EpCAM) or size to separate them from blood cell populations. We present an automated monolithic chip with 128 multiplexed deterministic lateral displacement devices containing ~1.5 million microfabricated features (12 µm–50 µm) used to first deplete red blood cells and platelets. The outputs from these devices are serially integrated with an inertial focusing system to line up all nucleated cells for multi-stage magnetophoresis to remove magnetically-labeled white blood cells. The monolithic CTC-iChip enables debulking of blood samples at 15–20 million cells per second while yielding an output of highly purified CTCs. We quantified the size and EpCAM expression of over 2,500 CTCs from 38 patient samples obtained from breast, prostate, lung cancers, and melanoma. The results show significant heterogeneity between and within single patients. Unbiased, rapid, and automated isolation of CTCs using monolithic CTC-iChip will enable the detailed measurement of their physicochemical and biological properties and their role in metastasis.Fabio FachinPhilipp SpuhlerJoseph M. Martel-FoleyJon F. EddThomas A. BarberJohn WalshMurat KarabacakVincent PaiMelissa YuKyle SmithHenry HwangJennifer YangSahil ShahRuby YarmushLecia V. SequistShannon L. StottShyamala MaheswaranDaniel A. HaberRavi KapurMehmet TonerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Fabio Fachin
Philipp Spuhler
Joseph M. Martel-Foley
Jon F. Edd
Thomas A. Barber
John Walsh
Murat Karabacak
Vincent Pai
Melissa Yu
Kyle Smith
Henry Hwang
Jennifer Yang
Sahil Shah
Ruby Yarmush
Lecia V. Sequist
Shannon L. Stott
Shyamala Maheswaran
Daniel A. Haber
Ravi Kapur
Mehmet Toner
Monolithic Chip for High-throughput Blood Cell Depletion to Sort Rare Circulating Tumor Cells
description Abstract Circulating tumor cells (CTCs) are a treasure trove of information regarding the location, type and stage of cancer and are being pursued as both a diagnostic target and a means of guiding personalized treatment. Most isolation technologies utilize properties of the CTCs themselves such as surface antigens (e.g., epithelial cell adhesion molecule or EpCAM) or size to separate them from blood cell populations. We present an automated monolithic chip with 128 multiplexed deterministic lateral displacement devices containing ~1.5 million microfabricated features (12 µm–50 µm) used to first deplete red blood cells and platelets. The outputs from these devices are serially integrated with an inertial focusing system to line up all nucleated cells for multi-stage magnetophoresis to remove magnetically-labeled white blood cells. The monolithic CTC-iChip enables debulking of blood samples at 15–20 million cells per second while yielding an output of highly purified CTCs. We quantified the size and EpCAM expression of over 2,500 CTCs from 38 patient samples obtained from breast, prostate, lung cancers, and melanoma. The results show significant heterogeneity between and within single patients. Unbiased, rapid, and automated isolation of CTCs using monolithic CTC-iChip will enable the detailed measurement of their physicochemical and biological properties and their role in metastasis.
format article
author Fabio Fachin
Philipp Spuhler
Joseph M. Martel-Foley
Jon F. Edd
Thomas A. Barber
John Walsh
Murat Karabacak
Vincent Pai
Melissa Yu
Kyle Smith
Henry Hwang
Jennifer Yang
Sahil Shah
Ruby Yarmush
Lecia V. Sequist
Shannon L. Stott
Shyamala Maheswaran
Daniel A. Haber
Ravi Kapur
Mehmet Toner
author_facet Fabio Fachin
Philipp Spuhler
Joseph M. Martel-Foley
Jon F. Edd
Thomas A. Barber
John Walsh
Murat Karabacak
Vincent Pai
Melissa Yu
Kyle Smith
Henry Hwang
Jennifer Yang
Sahil Shah
Ruby Yarmush
Lecia V. Sequist
Shannon L. Stott
Shyamala Maheswaran
Daniel A. Haber
Ravi Kapur
Mehmet Toner
author_sort Fabio Fachin
title Monolithic Chip for High-throughput Blood Cell Depletion to Sort Rare Circulating Tumor Cells
title_short Monolithic Chip for High-throughput Blood Cell Depletion to Sort Rare Circulating Tumor Cells
title_full Monolithic Chip for High-throughput Blood Cell Depletion to Sort Rare Circulating Tumor Cells
title_fullStr Monolithic Chip for High-throughput Blood Cell Depletion to Sort Rare Circulating Tumor Cells
title_full_unstemmed Monolithic Chip for High-throughput Blood Cell Depletion to Sort Rare Circulating Tumor Cells
title_sort monolithic chip for high-throughput blood cell depletion to sort rare circulating tumor cells
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/451a9d3337944460bed973cc5aa9b39f
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