An imaging-based platform for high-content, quantitative evaluation of therapeutic response in 3D tumour models.

ABSTRACT: While it is increasingly recognized that three-dimensional (3D) cell culture models recapitulate drug responses of human cancers with more fidelity than monolayer cultures, a lack of quantitative analysis methods limit their implementation for reliable and routine assessment of emerging therapies. Here, we introduce an approach based on computational analysis of fluorescence image data to provide high-content readouts of dose-dependent cytotoxicity, growth inhibition, treatment-induced architectural changes and size-dependent response in 3D tumour models. We demonstrate this approach in adherent 3D ovarian and pancreatic multiwell extracellular matrix tumour overlays subjected to a panel of clinically relevant cytotoxic modalities and appropriately designed controls for reliable quantifica

SUBMITTER: Celli JP 

PROVIDER: S-EPMC3894557 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature