Quantitative biophysical metrics for rapid evaluation of ovarian cancer metastatic potential.

ABSTRACT: Ovarian cancer is routinely diagnosed long after the disease has metastasized through the fibrous submesothelium. Despite extensive research in the field linking ovarian cancer progression to increasingly poor prognosis, there are currently no validated cellular markers or hallmarks of ovarian cancer that can predict metastatic potential. To discern disease progression across a syngeneic mouse ovarian cancer progression model, here we fabricated extracellular matrix mimicking suspended fiber networks: cross-hatches of mismatch diameters for studying protrusion dynamics, aligned same diameter networks of varying interfiber spacing for studying migration, and aligned nanonets for measuring cell forces. We found that migration correlated with disease while a force-disease biphasic relationshi

SUBMITTER: Mukherjee A 

PROVIDER: S-EPMC9265161 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature