Cargando…

Real-Time Detection of Tumor Cells during Capture on a Filter Element Significantly Enhancing Detection Rate

Circulating tumor cells (CTCs) that enter the bloodstream play an important role in the formation of metastases. The prognostic significance of CTCs as biomarkers obtained from liquid biopsies is intensively investigated and requires accurate methods for quantification. The purpose of this study was...

Descripción completa

Detalles Bibliográficos
Autores principales: Lux, Astrid, Bott, Hannah, Malek, Nisar Peter, Zengerle, Roland, Maucher, Tanja, Hoffmann, Jochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472380/
https://www.ncbi.nlm.nih.gov/pubmed/34562902
http://dx.doi.org/10.3390/bios11090312
_version_ 1784574713892175872
author Lux, Astrid
Bott, Hannah
Malek, Nisar Peter
Zengerle, Roland
Maucher, Tanja
Hoffmann, Jochen
author_facet Lux, Astrid
Bott, Hannah
Malek, Nisar Peter
Zengerle, Roland
Maucher, Tanja
Hoffmann, Jochen
author_sort Lux, Astrid
collection PubMed
description Circulating tumor cells (CTCs) that enter the bloodstream play an important role in the formation of metastases. The prognostic significance of CTCs as biomarkers obtained from liquid biopsies is intensively investigated and requires accurate methods for quantification. The purpose of this study was the capture of CTCs on an optically accessible surface for real-time quantification. A filtration device was fabricated from a transparent material so that capturing of cells could be observed microscopically. Blood samples were spiked with stained tumor cells and the sample was filtrated using a porous structure with pore sizes of 7.4 µm. The possible removal of lysed erythrocytes and the retention of CTCs were assessed. The filtration process was observed in real-time using fluorescence microscopy, whereby arriving cells were counted in order to determine the number of CTCs present in the blood. Through optimization of the microfluidic channel design, the cell retention rate could be increased by 13% (from 76% ± 7% to 89% ± 5%). Providing the possibility for real-time detection significantly improved quantification efficiency even for the smallest cells evaluated. While end-point evaluation resulted in a detection rate of 63% ± 3% of the spiked cells, real-time evaluation led to an increase of 21% to 84% ± 4%. The established protocol provides an advantageous and efficient method for integration of fully automated sample preparation and CTC quantification into a lab-on-a-chip system.
format Online
Article
Text
id pubmed-8472380
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-84723802021-09-28 Real-Time Detection of Tumor Cells during Capture on a Filter Element Significantly Enhancing Detection Rate Lux, Astrid Bott, Hannah Malek, Nisar Peter Zengerle, Roland Maucher, Tanja Hoffmann, Jochen Biosensors (Basel) Article Circulating tumor cells (CTCs) that enter the bloodstream play an important role in the formation of metastases. The prognostic significance of CTCs as biomarkers obtained from liquid biopsies is intensively investigated and requires accurate methods for quantification. The purpose of this study was the capture of CTCs on an optically accessible surface for real-time quantification. A filtration device was fabricated from a transparent material so that capturing of cells could be observed microscopically. Blood samples were spiked with stained tumor cells and the sample was filtrated using a porous structure with pore sizes of 7.4 µm. The possible removal of lysed erythrocytes and the retention of CTCs were assessed. The filtration process was observed in real-time using fluorescence microscopy, whereby arriving cells were counted in order to determine the number of CTCs present in the blood. Through optimization of the microfluidic channel design, the cell retention rate could be increased by 13% (from 76% ± 7% to 89% ± 5%). Providing the possibility for real-time detection significantly improved quantification efficiency even for the smallest cells evaluated. While end-point evaluation resulted in a detection rate of 63% ± 3% of the spiked cells, real-time evaluation led to an increase of 21% to 84% ± 4%. The established protocol provides an advantageous and efficient method for integration of fully automated sample preparation and CTC quantification into a lab-on-a-chip system. MDPI 2021-09-03 /pmc/articles/PMC8472380/ /pubmed/34562902 http://dx.doi.org/10.3390/bios11090312 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lux, Astrid
Bott, Hannah
Malek, Nisar Peter
Zengerle, Roland
Maucher, Tanja
Hoffmann, Jochen
Real-Time Detection of Tumor Cells during Capture on a Filter Element Significantly Enhancing Detection Rate
title Real-Time Detection of Tumor Cells during Capture on a Filter Element Significantly Enhancing Detection Rate
title_full Real-Time Detection of Tumor Cells during Capture on a Filter Element Significantly Enhancing Detection Rate
title_fullStr Real-Time Detection of Tumor Cells during Capture on a Filter Element Significantly Enhancing Detection Rate
title_full_unstemmed Real-Time Detection of Tumor Cells during Capture on a Filter Element Significantly Enhancing Detection Rate
title_short Real-Time Detection of Tumor Cells during Capture on a Filter Element Significantly Enhancing Detection Rate
title_sort real-time detection of tumor cells during capture on a filter element significantly enhancing detection rate
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472380/
https://www.ncbi.nlm.nih.gov/pubmed/34562902
http://dx.doi.org/10.3390/bios11090312
work_keys_str_mv AT luxastrid realtimedetectionoftumorcellsduringcaptureonafilterelementsignificantlyenhancingdetectionrate
AT botthannah realtimedetectionoftumorcellsduringcaptureonafilterelementsignificantlyenhancingdetectionrate
AT maleknisarpeter realtimedetectionoftumorcellsduringcaptureonafilterelementsignificantlyenhancingdetectionrate
AT zengerleroland realtimedetectionoftumorcellsduringcaptureonafilterelementsignificantlyenhancingdetectionrate
AT mauchertanja realtimedetectionoftumorcellsduringcaptureonafilterelementsignificantlyenhancingdetectionrate
AT hoffmannjochen realtimedetectionoftumorcellsduringcaptureonafilterelementsignificantlyenhancingdetectionrate