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DOI 10.1109/tbme.2021.3092641

Медицинская библиотека · IEEE transactions on bio-medical engineering · 2021

Mechanical Modulation of Ovarian Cancer Tumor Nodules Under Flow.

Conrad Christina, Moore Kaitlin, Polacheck William, Rizvi Imran, Scarcelli Giuliano

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПоддержка правительства СШАПеревод в очереди

Аннотация

OBJECTIVE

Perfusion models are valuable tools to mimic complex features of the tumor microenvironment and to study cell behavior. In ovarian cancer, mimicking disease pathology of ascites has been achieved by seeding tumor nodules on a basement membrane and subjecting them to long-term continuous flow. In this scenario it is particularly important to study the role of mechanical stress on cancer progression. Mechanical cues are already known to be important in key cancer processes such as survival, proliferation, and migration. However, probing cell mechanical properties within microfluidic platforms has not been achievable with current technologies since samples are not easily accessible within most microfluidic channels.

METHODS

Here, to analyze the mechanical properties of cells within a perfusion chamber, we use Brillouin confocal microscopy, an all-optical technique that requires no contact or perturbation to the sample.

RESULTS

Our results indicate that ovarian cancer nodules under long-term continuous flow have a significantly lower longitudinal modulus compared to nodules maintained in a static condition.

CONCLUSION

We further dissect the role of distinct mechanical perturbations (e.g., shear flow, osmolality) on tumor nodule properties.

SIGNIFICANCE: In summary, the unique combination of a long-term microfluidic culture and noninvasive mechanical analysis technique provides insights on the effects of physical forces in ovarian cancer pathology.

Для цитирования: Conrad Christina, Moore Kaitlin, Polacheck William, Rizvi Imran, Scarcelli Giuliano. Mechanical Modulation of Ovarian Cancer Tumor Nodules Under Flow.. IEEE transactions on bio-medical engineering. 2021. DOI: 10.1109/tbme.2021.3092641.

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