The high rates of clinical failure of new anticancer drugs highlight that the standard approaches to evaluate drug efficacy do not faithfully reproduce human biology, and thus, do not accurately represent the disease processes or response to treatment. In this webinar we will discuss how tumor-specific 3D culture models can be used to improve the accuracy of drug testing. We will also highlight the advantages of using multimodal readout to evaluate multiple parameters associated with cellular response to anticancer drugs.

3D Tumor Models
Modeling Acquired Resistance in Ovarian Cancer: A Patient-Matched Spheriod Approach to Preclinical Drug Profiling
Most patients with advanced ovarian cancer respond to first-line platinum chemotherapy, yet the majority recur within two years, and the returning tumor is often pharmacologically
