The effects of cancer progression on the viscoelasticity of ovarian cell cytoskeleton structures

Ketene, Alperen N.; Schmelz, Eva M.; Roberts, Paul C.; Agah, Masoud

doi:10.1016/j.nano.2011.05.012

Cited by 194 publications

(201 citation statements)

References 38 publications

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“…Importantly, they mostly fall within the range (10 4 , 10 6 ) Hz, an interval compatible with LITUS, which is already widely employed for medical applications. Peak frequency values outside this interval are found for the sole cases associated with extreme limit situations, that is, both when the cells behave as fluid-like (Maxwell) viscoelastic materials and exhibit the bladder cells [29] kidney cells [32] breast cells [30] prostate cells [30] thyroid cells [33] mouse ovarian epithelia [34] breast cells [35] prostate cells [36] bladder cells [29] breast cells [28] breast cells [26] cells of the lung [26] Figure 6. Bar chart with a synopsis of the theoretically derived in-frequency responses of healthy and cancer cells whose mechanical properties have been experimentally measured: the histograms compare peak frequencies for each tumour and normal cell line pair examined, by averaging over all the results obtained from the six viscoelastic schemes used.…”

Section: Conclusion Limitations and Future Perspectivesmentioning

confidence: 99%

A frequency-based hypothesis for mechanically targeting and selectively attacking cancer cells

Fraldi¹,

Cugno

Deseri

et al. 2015

J. R. Soc. Interface.

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Experimental studies recently performed on single cancer and healthy cells have demonstrated that the former are about 70% softer than the latter, regardless of the cell lines and the measurement technique used for determining the mechanical properties. At least in principle, the difference in cell stiffness might thus be exploited to create mechanical-based targeting strategies for discriminating neoplastic transformations within human cell populations and for designing innovative complementary tools to cell-specific molecular tumour markers, leading to possible applications in the diagnosis and treatment of cancer diseases. With the aim of characterizing and gaining insight into the overall frequency response of single-cell systems to mechanical stimuli (typically low-intensity therapeutic ultrasound), a generalized viscoelastic paradigm, combining classical and spring-pot-based models, is introduced for modelling this problem by neglecting the cascade of mechanobiological events involving the cell nucleus, cytoskeleton, elastic membrane and cytosol. Theoretical results show that differences in stiffness, experimentally observed ex vivo and in vitro, allow healthy and cancer cells to be discriminated, by highlighting frequencies (from tens to hundreds of kilohertz) associated with resonance-like phenomena-prevailing on thermal fluctuations-that could be helpful in targeting and selectively attacking tumour cells.

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Section: Conclusion Limitations and Future Perspectivesmentioning

confidence: 99%

A frequency-based hypothesis for mechanically targeting and selectively attacking cancer cells

Fraldi¹,

Cugno

Deseri

et al. 2015

J. R. Soc. Interface.

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“…Most research studies have focused solely on the elasticity aspect of the cells [8][9][10][11][12][13][14][15]. Elasticity alone, however, is not representative of the cell's full mechanical characteristics; biological cells are viscoelastic, meaning that they exhibit a time-dependent response to an applied load due to internal frictional interactions of the cell's contents and organelles.…”

Section: Introductionmentioning

confidence: 99%

“…So far, however, there have been only a few studies on the viscosity of cancer cells using AFM. For instance, it has been shown that normal thyroid cells have a higher viscosity than cancerous cells or that viscosity decreases significantly from normal ovarian surface epithelial cells to their tumorigenic counterparts [12,30]. Viscoelasticity studies can be useful in many areas.…”

Section: Introductionmentioning

confidence: 99%

Correlating the viscoelasticity of breast cancer cells with their malignancy

Nematbakhsh

Pang

Lim

2017

Converg. Sci. Phys. Oncol.

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“…During neoplastic progression, increased dysregulation of the cytoskeleton organization was observed, which 14 was recently found to be associated with stage specific changes in their biomechanical properties. 15 The MOSE model exemplifies an alternative to human cell lines since comparable human cell lines providing different stages of ovarian cancer derived from the same woman are not available.…”

Section: Introductionmentioning

confidence: 99%

Dielectrophoretic differentiation of mouse ovarian surface epithelial cells, macrophages, and fibroblasts using contactless dielectrophoresis

et al. 2012

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Ovarian cancer is the leading cause of death from gynecological malignancies in women. The primary challenge is the detection of the cancer at an early stage, since this drastically increases the survival rate. In this study we investigated the dielectrophoretic responses of progressive stages of mouse ovarian surface epithelial (MOSE) cells, as well as mouse fibroblast and macrophage cell lines, utilizing contactless dielectrophoresis (cDEP). cDEP is a relatively new cell manipulation technique that has addressed some of the challenges of conventional dielectrophoretic methods. To evaluate our microfluidic device performance, we computationally studied the effects of altering various geometrical parameters, such as the size and arrangement of insulating structures, on dielectrophoretic and drag forces. We found that the trapping voltage of MOSE cells increases as the cells progress from a nontumorigenic, benign cell to a tumorigenic, malignant phenotype. Additionally, all MOSE cells display unique behavior compared to fibroblasts and macrophages, representing normal and inflammatory cells found in the peritoneal fluid. Based on these findings, we predict that cDEP can be utilized for isolation of ovarian cancer cells from peritoneal fluid as an early cancer detection tool. V C 2012 American Institute of Physics. [http://dx

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The effects of cancer progression on the viscoelasticity of ovarian cell cytoskeleton structures

Cited by 194 publications

References 38 publications

A frequency-based hypothesis for mechanically targeting and selectively attacking cancer cells

A frequency-based hypothesis for mechanically targeting and selectively attacking cancer cells

Correlating the viscoelasticity of breast cancer cells with their malignancy

Dielectrophoretic differentiation of mouse ovarian surface epithelial cells, macrophages, and fibroblasts using contactless dielectrophoresis

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