Data from Cancer Patient Panels for Personalized Drug Screening

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This poster, from 2020 AACR Virtual Annual Meeting II, presents data on the value of modeling the metastatic niche, and the benefits of using patient-derived cancer cell models, mesenchymal stem cells (MSCs), and optimization of oxygen level and extracellular matrix (ECM) to study antitumor drug response, personalized therapy, and disease mechanisms. With this 3D system, Cellaria addresses an unmet need to improve predictions of the safety and efficacy of new drugs in preclinical testing and clinical trials.