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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6210778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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