A Brief Review of the Biophysical Hallmarks of Metastatic Cancer Cells

Zhang, Weijia; Kai, Kazuharu; Ueno, Naoto T.; Qin, Lidong

doi:10.1166/ch.2013.1010

Cited by 19 publications

(18 citation statements)

References 57 publications

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“…Deformity in cancer cells in contrast to normal cell is widely known and some reports have linked the deformity in cancer cells with their metastatic propensity. 39) As shown in In Figure 5m and 5n, normal cells, WBC and lymph node cells have total inflection points of lower than 10, whereas LLC and SP2/O cancer cells have inflection points of greater than 10 (Figure 5o and 5p). The probabilities of "CCF ver.…”

Section: Development Of a New Software Program "Cancer Cell Finder (Cmentioning

confidence: 88%

Size-Based Differentiation of Cancer and Normal Cells by a Particle Size Analyzer Assisted by a Cell-Recognition PC Software

Shashni

Ariyasu

Takeda

et al. 2018

Biological & Pharmaceutical Bulletin

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SummaryDetection of anomalous cells such as cancer cells from normal blood cells has the potential to contribute greatly to cancer diagnosis and therapy. Conventional methods for the detection of cancer cells are usually tedious and cumbersome. Herein, we report on the use of a particle size analyzer for the convenient size-based differentiation of cancer cells from normal cells. Measurements made using a particle size analyzer revealed that size parameters for cancer cells are significantly greater (e.g., inner diameter and width) than the corresponding values for normal cells (white blood cells (WBC), lymphocytes and splenocytes), with no significant difference in shape parameters (e.g., circularity and convexity). The inner diameter of many cancer cell lines is greater than 10 μm, in contrast to normal cells. For the detection of WBC having similar size to that of cancer cells, we developed a PC software "Cancer Cell Finder" that differentiates them from cancer cells based on brightness inflection points on a cell surface. Furthermore, the aforementioned method was validated for cancer cell/clusters detection in spiked mouse blood samples (a B16 melanoma mouse xenograft model) and circulating tumor cell cluster-like particles in the cat and dog (diagnosed with cancer) blood samples. These results provide insights into the possible applicability of the use of a particle size analyzer in conjunction with PC software for the convenient detection of cancer cells in experimental and clinical samples for theranostics.

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Section: Development Of a New Software Program "Cancer Cell Finder (Cmentioning

confidence: 88%

Size-Based Differentiation of Cancer and Normal Cells by a Particle Size Analyzer Assisted by a Cell-Recognition PC Software

Shashni

Ariyasu

Takeda

et al. 2018

Biological & Pharmaceutical Bulletin

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“…Metastasis is a complex, multistep process that refers to development of distant secondary cancers from primary lesions elsewhere in the body. 1 – 3 Metastasis to the brain occurs most commonly from lung cancer (40%–50%), breast cancer (15%–25%), and melanoma (5%–20%). 4 – 6 Non–small cell lung cancer (NSCLC) represents the highest number of cases of brain metastases at initial presentation, and 20%–40% of NSCLC patients will develop brain metastasis during their lifetime.…”

Section: Introductionmentioning

confidence: 99%

TNF-α enhancement of CD62E mediates adhesion of non–small cell lung cancer cells to brain endothelium via CD15 in lung-brain metastasis

et al. 2015

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BackgroundCD15, which is overexpressed on various cancers, has been reported as a cell adhesion molecule that plays a key role in non-CNS metastasis. However, the role of CD15 in brain metastasis is largely unexplored. This study provides a better understanding of CD15/CD62E interaction, enhanced by tumor necrosis factor-α (TNF-α), and its correlation with brain metastasis in non–small cell lung cancer (NSCLC).MethodsCD15 and E-selectin (CD62E) expression was demonstrated in both human primary and metastatic NSCLC cells using flow cytometry, immunofluorescence, and Western blotting. The role of CD15 was investigated using an adhesion assay under static and physiological flow live-cell conditions. Human tissue sections were examined using immunohistochemistry.ResultsCD15, which was weakly expressed on hCMEC/D3 human brain endothelial cells, was expressed at high levels on metastatic NSCLC cells (NCI-H1299, SEBTA-001, and SEBTA-005) and at lower levels on primary NSCLC (COR-L105 and A549) cells (P < .001). The highest expression of CD62E was observed on hCMEC/D3 cells activated with TNF-α, with lower levels on metastatic NSCLC cells followed by primary NSCLC cells. Metastatic NSCLC cells adhered most strongly to hCMEC/D3 compared with primary NSCLC cells. CD15 immunoblocking decreased cancer cell adhesion to brain endothelium under static and shear stress conditions (P < .0001), confirming a correlation between CD15 and cerebral metastasis. Both CD15 and CD62E expression were detected in lung metastatic brain biopsies.ConclusionThis study enhances the understanding of cancer cell-brain endothelial adhesion and confirms that CD15 plays a crucial role in adhesion in concert with TNF-α activation of its binding partner, CD62E.

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“…In this review, we focus on the mechanical differences between individual cancer and normal cells and ask whether these differences are significant enough to discriminate cancer cells from normal cells solely based on their mechanical properties (Suresh, ; Zhang et al., ; Mierke, ). Individual cancer cell mechanics has been extensively studied in cancer cell lines and, to a lesser extent, in primary cells extracted from tumours, in either 2D or 3D in vitro assays.…”

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confidence: 99%

Are cancer cells really softer than normal cells?

Charlotte

Goud

Manneville

2017

Biology of the Cell

296

236

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Solid tumours are often first diagnosed by palpation, suggesting that the tumour is more rigid than its surrounding environment. Paradoxically, individual cancer cells appear to be softer than their healthy counterparts. In this review, we first list the physiological reasons indicating that cancer cells may be more deformable than normal cells. Next, we describe the biophysical tools that have been developed in recent years to characterise and model cancer cell mechanics. By reviewing the experimental studies that compared the mechanics of individual normal and cancer cells, we argue that cancer cells can indeed be considered as softer than normal cells. We then focus on the intracellular elements that could be responsible for the softening of cancer cells. Finally, we ask whether the mechanical differences between normal and cancer cells can be used as diagnostic or prognostic markers of cancer progression.

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A Brief Review of the Biophysical Hallmarks of Metastatic Cancer Cells

Cited by 19 publications

References 57 publications

Size-Based Differentiation of Cancer and Normal Cells by a Particle Size Analyzer Assisted by a Cell-Recognition PC Software

Size-Based Differentiation of Cancer and Normal Cells by a Particle Size Analyzer Assisted by a Cell-Recognition PC Software

TNF-α enhancement of CD62E mediates adhesion of non–small cell lung cancer cells to brain endothelium via CD15 in lung-brain metastasis

Are cancer cells really softer than normal cells?

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