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Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis

In the CellSearch(®) system, blood is immunomagnetically enriched for epithelial cell adhesion molecule (EpCAM) expression and cells are stained with the nucleic acid dye 4′6-diamidino-2-phenylindole (DAPI), Cytokeratin-PE (CK), and CD45-APC. Only DAPI+/CK+ objects are presented to the operator to i...

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Autores principales: de Wit, Sanne, Zeune, Leonie L., Hiltermann, T. Jeroen N., Groen, Harry J. M., van Dalum, Guus, Terstappen, Leon W. M. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210778/
https://www.ncbi.nlm.nih.gov/pubmed/30308977
http://dx.doi.org/10.3390/cancers10100377
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author de Wit, Sanne
Zeune, Leonie L.
Hiltermann, T. Jeroen N.
Groen, Harry J. M.
van Dalum, Guus
Terstappen, Leon W. M. M.
author_facet de Wit, Sanne
Zeune, Leonie L.
Hiltermann, T. Jeroen N.
Groen, Harry J. M.
van Dalum, Guus
Terstappen, Leon W. M. M.
author_sort de Wit, Sanne
collection PubMed
description In the CellSearch(®) system, blood is immunomagnetically enriched for epithelial cell adhesion molecule (EpCAM) expression and cells are stained with the nucleic acid dye 4′6-diamidino-2-phenylindole (DAPI), Cytokeratin-PE (CK), and CD45-APC. Only DAPI+/CK+ objects are presented to the operator to identify circulating tumor cells (CTC) and the identity of all other cells and potential undetected CTC remains unrevealed. Here, we used the open source imaging program Automatic CTC Classification, Enumeration and PhenoTyping (ACCEPT) to analyze all DAPI+ nuclei in EpCAM-enriched blood samples obtained from 192 metastatic non-small cell lung cancer (NSCLC) patients and 162 controls. Significantly larger numbers of nuclei were detected in 300 patient samples with an average and standard deviation of 73,570 ± 74,948, as compared to 359 control samples with an average and standard deviation of 4191 ± 4463 (p < 0.001). In patients, only 18% ± 21% and in controls 23% ± 15% of the nuclei were identified as leukocytes or CTC. Adding CD16-PerCP for granulocyte staining, the use of an LED as the light source for CD45-APC excitation and plasma membrane staining obtained with wheat germ agglutinin significantly improved the classification of EpCAM-enriched cells, resulting in the identification of 94% ± 5% of the cells. However, especially in patients, the origin of the unidentified cells remains unknown. Further studies are needed to determine if undetected EpCAM+/DAPI+/CK-/CD45- CTC is present among these cells.
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spelling pubmed-62107782018-11-02 Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis de Wit, Sanne Zeune, Leonie L. Hiltermann, T. Jeroen N. Groen, Harry J. M. van Dalum, Guus Terstappen, Leon W. M. M. Cancers (Basel) Article In the CellSearch(®) system, blood is immunomagnetically enriched for epithelial cell adhesion molecule (EpCAM) expression and cells are stained with the nucleic acid dye 4′6-diamidino-2-phenylindole (DAPI), Cytokeratin-PE (CK), and CD45-APC. Only DAPI+/CK+ objects are presented to the operator to identify circulating tumor cells (CTC) and the identity of all other cells and potential undetected CTC remains unrevealed. Here, we used the open source imaging program Automatic CTC Classification, Enumeration and PhenoTyping (ACCEPT) to analyze all DAPI+ nuclei in EpCAM-enriched blood samples obtained from 192 metastatic non-small cell lung cancer (NSCLC) patients and 162 controls. Significantly larger numbers of nuclei were detected in 300 patient samples with an average and standard deviation of 73,570 ± 74,948, as compared to 359 control samples with an average and standard deviation of 4191 ± 4463 (p < 0.001). In patients, only 18% ± 21% and in controls 23% ± 15% of the nuclei were identified as leukocytes or CTC. Adding CD16-PerCP for granulocyte staining, the use of an LED as the light source for CD45-APC excitation and plasma membrane staining obtained with wheat germ agglutinin significantly improved the classification of EpCAM-enriched cells, resulting in the identification of 94% ± 5% of the cells. However, especially in patients, the origin of the unidentified cells remains unknown. Further studies are needed to determine if undetected EpCAM+/DAPI+/CK-/CD45- CTC is present among these cells. MDPI 2018-10-10 /pmc/articles/PMC6210778/ /pubmed/30308977 http://dx.doi.org/10.3390/cancers10100377 Text en © 2018 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
de Wit, Sanne
Zeune, Leonie L.
Hiltermann, T. Jeroen N.
Groen, Harry J. M.
van Dalum, Guus
Terstappen, Leon W. M. M.
Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis
title Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis
title_full Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis
title_fullStr Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis
title_full_unstemmed Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis
title_short Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis
title_sort classification of cells in ctc-enriched samples by advanced image analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210778/
https://www.ncbi.nlm.nih.gov/pubmed/30308977
http://dx.doi.org/10.3390/cancers10100377
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