Circulating tumor cell models mimicking metastasizing cells in vitro: discrimination of colorectal cancer cells and white blood cells using digital holographic cytometryShow others and affiliations
2022 (English)In: Photonics, ISSN 2304-6732, Vol. 9, no 12, article id 955Article in journal (Refereed) Published
Abstract [en]
Colorectal cancer (CRC) is the second most metastatic disease with the majority of cases detected in Western countries. Metastases are formed by circulating altered phenotype tumor cells causing 20% of CRC related deaths. Metastatic cells may show higher expression of surface molecules such as CD44, and changes in morphological properties are associated with increased invasiveness and poor prognosis. In this study, we intended to mimic the environment for metastasizing cells. Here, we used digital holographic cytometry (DHC) analysis to determine cellular morphological properties of three metastatic and two non-metastatic colorectal cancer cell lines to show differences in morphology between the CRC cells and peripheral blood mononuclear cells (PBMCs). By establishing differences in cell area, cell thickness, cell volume, and cell irregularity even when the CRC cells were in minority (5% out of PBMCs), DHC does discriminate between CRC cells and the PBMCs in vitro. We also analyzed the epithelial marker EpCAM and migration marker CD44 using flow cytometry and demonstrate that the CRC cell lines and PBMC cells differ in EpCAM and CD44 expression. Here, we present DHC as a new powerful tool in discriminating cells of different sizes in suspension together with a combination of biomarkers.
Place, publisher, year, edition, pages
MDPI, 2022. Vol. 9, no 12, article id 955
Keywords [en]
CD44, cell morphology, circulating tumor cell, colorectal cancer, digital holographic cytometry, EpCAM
National Category
Cell and Molecular Biology Cancer and Oncology
Identifiers
URN: urn:nbn:se:umu:diva-202241DOI: 10.3390/photonics9120955ISI: 000902845600001Scopus ID: 2-s2.0-85144643845OAI: oai:DiVA.org:umu-202241DiVA, id: diva2:1725102
Funder
Knowledge Foundation, 20160165EU, Horizon 2020, 848098EU, Horizon 2020, 721297Royal Physiographic Society in LundMalmö University2023-01-102023-01-102023-09-05Bibliographically approved