Discrimination between Breast Cancer Cells and White Blood Cells by Non-Invasive Measurements: Implications for a Novel In Vitro-Based Circulating Tumor Cell Model Using Digital Holographic Cytometry

Breast cancer is the second most common cancer worldwide. Metastasis is the main reason for death in breast cancer, and today, there is a lack of methods to detect and isolate circulating tumor cells (CTCs), mainly due to their heterogeneity and rarity. There are some systems that are designed to de...

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Main Authors: Zahra El-Schich, Birgit Janicke, Kersti Alm, Nishtman Dizeyi, Jenny L. Persson, Anette Gjörloff Wingren
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/14/4854
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author Zahra El-Schich
Birgit Janicke
Kersti Alm
Nishtman Dizeyi
Jenny L. Persson
Anette Gjörloff Wingren
author_facet Zahra El-Schich
Birgit Janicke
Kersti Alm
Nishtman Dizeyi
Jenny L. Persson
Anette Gjörloff Wingren
author_sort Zahra El-Schich
collection DOAJ
description Breast cancer is the second most common cancer worldwide. Metastasis is the main reason for death in breast cancer, and today, there is a lack of methods to detect and isolate circulating tumor cells (CTCs), mainly due to their heterogeneity and rarity. There are some systems that are designed to detect rare epithelial cancer cells in whole blood based on the most common marker used today, the epithelial cell adhesion molecule (EpCAM). It has been shown that aggressive breast cancer metastases are of non-epithelial origin and are therefore not always detected using EpCAM as a marker. In the present study, we used an in vitro-based circulating tumor cell model comprising a collection of six breast cancer cell lines and white blood cell lines. We used digital holographic cytometry (DHC) to characterize and distinguish between the different cell types by area, volume and thickness. Here, we present significant differences in cell size-related parameters observed when comparing white blood cells and breast cancer cells by using DHC. In conclusion, DHC can be a powerful diagnostic tool for the characterization of CTCs in the blood.
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spelling doaj.art-4854897a81804093b6e7d9eafc8f1d412023-11-20T06:49:46ZengMDPI AGApplied Sciences2076-34172020-07-011014485410.3390/app10144854Discrimination between Breast Cancer Cells and White Blood Cells by Non-Invasive Measurements: Implications for a Novel In Vitro-Based Circulating Tumor Cell Model Using Digital Holographic CytometryZahra El-Schich0Birgit Janicke1Kersti Alm2Nishtman Dizeyi3Jenny L. Persson4Anette Gjörloff Wingren5Department of Biomedical Sciences, Faculty of Health and Society, Malmö University, 205 06 Malmö, SwedenPhase Holographic Imaging AB, 223 63 Lund, SwedenPhase Holographic Imaging AB, 223 63 Lund, SwedenDepartment of Translational Medicine, Lund University, 205 06 Malmö, SwedenDepartment of Biomedical Sciences, Faculty of Health and Society, Malmö University, 205 06 Malmö, SwedenDepartment of Biomedical Sciences, Faculty of Health and Society, Malmö University, 205 06 Malmö, SwedenBreast cancer is the second most common cancer worldwide. Metastasis is the main reason for death in breast cancer, and today, there is a lack of methods to detect and isolate circulating tumor cells (CTCs), mainly due to their heterogeneity and rarity. There are some systems that are designed to detect rare epithelial cancer cells in whole blood based on the most common marker used today, the epithelial cell adhesion molecule (EpCAM). It has been shown that aggressive breast cancer metastases are of non-epithelial origin and are therefore not always detected using EpCAM as a marker. In the present study, we used an in vitro-based circulating tumor cell model comprising a collection of six breast cancer cell lines and white blood cell lines. We used digital holographic cytometry (DHC) to characterize and distinguish between the different cell types by area, volume and thickness. Here, we present significant differences in cell size-related parameters observed when comparing white blood cells and breast cancer cells by using DHC. In conclusion, DHC can be a powerful diagnostic tool for the characterization of CTCs in the blood.https://www.mdpi.com/2076-3417/10/14/4854breast cancercell areacell thicknesscell volumecirculating tumor cellCD45
spellingShingle Zahra El-Schich
Birgit Janicke
Kersti Alm
Nishtman Dizeyi
Jenny L. Persson
Anette Gjörloff Wingren
Discrimination between Breast Cancer Cells and White Blood Cells by Non-Invasive Measurements: Implications for a Novel In Vitro-Based Circulating Tumor Cell Model Using Digital Holographic Cytometry
Applied Sciences
breast cancer
cell area
cell thickness
cell volume
circulating tumor cell
CD45
title Discrimination between Breast Cancer Cells and White Blood Cells by Non-Invasive Measurements: Implications for a Novel In Vitro-Based Circulating Tumor Cell Model Using Digital Holographic Cytometry
title_full Discrimination between Breast Cancer Cells and White Blood Cells by Non-Invasive Measurements: Implications for a Novel In Vitro-Based Circulating Tumor Cell Model Using Digital Holographic Cytometry
title_fullStr Discrimination between Breast Cancer Cells and White Blood Cells by Non-Invasive Measurements: Implications for a Novel In Vitro-Based Circulating Tumor Cell Model Using Digital Holographic Cytometry
title_full_unstemmed Discrimination between Breast Cancer Cells and White Blood Cells by Non-Invasive Measurements: Implications for a Novel In Vitro-Based Circulating Tumor Cell Model Using Digital Holographic Cytometry
title_short Discrimination between Breast Cancer Cells and White Blood Cells by Non-Invasive Measurements: Implications for a Novel In Vitro-Based Circulating Tumor Cell Model Using Digital Holographic Cytometry
title_sort discrimination between breast cancer cells and white blood cells by non invasive measurements implications for a novel in vitro based circulating tumor cell model using digital holographic cytometry
topic breast cancer
cell area
cell thickness
cell volume
circulating tumor cell
CD45
url https://www.mdpi.com/2076-3417/10/14/4854
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