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

被引:32
作者
de Wit, Sanne [1 ]
Zeune, Leonie L. [1 ,2 ]
Hiltermann, T. Jeroen N. [3 ]
Groen, Harry J. M. [3 ]
van Dalum, Guus [4 ]
Terstappen, Leon W. M. M. [1 ]
机构
[1] Univ Twente, Dept Med Cell BioPhys, NL-7522 NH Enschede, Netherlands
[2] Univ Twente, Dept Appl Math, NL-7522 NH Enschede, Netherlands
[3] Univ Groningen, Univ Med Ctr Groningen, Dept Pulm Dis, NL-9713 GZ Groningen, Netherlands
[4] Heinrich Heine Univ Dusseldorf, Univ Hosp, Dept Gen Visceral & Pediat Surg, D-40225 Dusseldorf, Germany
关键词
circulating tumor cells; CellSearch (R); EpCAM; leukocytes; ACCEPT; deep Learning; classification; image analysis; non-small cell lung cancer; CIRCULATING TUMOR-CELLS; WHEAT-GERM-AGGLUTININ; LUNG-CANCER; SURVIVAL; PROGRESSION; PROSTATE; BLOOD;
D O I
10.3390/cancers10100377
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
In the CellSearch (R) 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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页数:16
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