At SLAS Europe 2026, research powered by the Predictive Oncology biobank was featured in a scientific poster on integrated imaging and viability analysis of matched primary and recurrent ovarian cancer spheroids. The study used patient-matched dissociated tumor cells from the Predictive Oncology frozen biobank to generate 3D tumor spheroids, providing a clinically relevant model of how drug resistance emerges within individual patients over the course of disease. Using the Tecan Spark® Cyto imaging platform, researchers multiplexed brightfield imaging, fluorescent LIVE/DEAD staining, and CellTiter-Glo luminescence readouts on a single instrument, enabling longitudinal characterization of both spheroid morphology and viability without inter-assay variability. Results showed that recurrent cancer spheroids were measurably larger and structurally distinct from matched primary spheroids, with dose-response curves shifted for both Doxorubicin and Paclitaxel, consistent with quantitative signatures of acquired drug insensitivity. This integrated workflow demonstrates the value of the Predictive Oncology biobank as a platform for generating patient-matched, pharmacologically informative preclinical data from complex 3D tumor models.

Predictive Oncology’s Biobank Enables Pharmacologically Informative 3D Tumor Profiling
At SLAS Europe 2026, research powered by the Predictive Oncology biobank was featured in a scientific poster on integrated imaging and viability analysis of matched
