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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

El-Schich, Zahra ; Janicke, Birgit ; Alm, Kersti ; Dizeyi, Nishtman LU ; Persson, Jenny L. LU and Wingren, Anette Gjörloff LU (2020) In Applied Sciences (Switzerland) 10(14).
Abstract

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... (More)

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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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Breast cancer, CD45, Cell area, Cell thickness, Cell volume, Circulating tumor cell, Digital holographic cytometry, EpCAM
in
Applied Sciences (Switzerland)
volume
10
issue
14
article number
4854
publisher
MDPI AG
external identifiers
  • scopus:85088644160
ISSN
2076-3417
DOI
10.3390/app10144854
language
English
LU publication?
yes
id
b6409ae1-938a-42a9-b531-03e948beb7b3
date added to LUP
2020-08-04 11:37:17
date last changed
2022-05-12 05:50:05
@article{b6409ae1-938a-42a9-b531-03e948beb7b3,
  abstract     = {{<p>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.</p>}},
  author       = {{El-Schich, Zahra and Janicke, Birgit and Alm, Kersti and Dizeyi, Nishtman and Persson, Jenny L. and Wingren, Anette Gjörloff}},
  issn         = {{2076-3417}},
  keywords     = {{Breast cancer; CD45; Cell area; Cell thickness; Cell volume; Circulating tumor cell; Digital holographic cytometry; EpCAM}},
  language     = {{eng}},
  number       = {{14}},
  publisher    = {{MDPI AG}},
  series       = {{Applied Sciences (Switzerland)}},
  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}},
  url          = {{http://dx.doi.org/10.3390/app10144854}},
  doi          = {{10.3390/app10144854}},
  volume       = {{10}},
  year         = {{2020}},
}