Abstract 4247: Miniaturizing patient-derived organoid screening assays for predictive drug testing

Abstract Colorectal cancer (CRC) ranks as the third leading cause of both cancer incidence and cancer-related mortality. A significant portion of CRC patients diagnosed with de novo metastatic disease face limited benefits from conventional treatment options, often accompanied by substantial side effects. This underscores the pressing need for more effective preclinical models to predict patient responses in clinical settings. Patient-derived organoids (PDOs or HUB Organoids®) represent a pivotal breakthrough in preclinical modeling. These organoids are directly derived from patient tissue, faithfully mirroring the patient's disease. While HUB Organoid Technology is currently applicable for preclinical drug screening, it is essential to expedite the transition from patient diagnosis to the delivery of PDO-based results to directly benefit patients. In a collaborative effort with Yamaha Motor, we have optimized the Yamaha CELL HANDLERTM for the automated transfer of organoids, offering enhanced precision and efficiency in handling a significantly reduced number of organoids per screening plate, compared to conventional methods. Moreover, we have developed an image-based readout system that enables precise quantification of organoid numbers, ensuring high assay quality. Utilizing this developed automated platform, we conducted a proof-of-concept investigation into PDO responses to chemotherapy in comparison to corresponding patient responses. The correlation between PDO and patient responses demonstrated a strong connection, highlighting the potential of the developed automated platform for predictive drug testing. In summary, this work signifies the development of an automated workflow that synergizes patient-representative HUB Organoids® with cutting-edge robotics from Yamaha Motor. The described workflow reduces the number of organoids needed per screening well, streamlining patient response prediction, potentially leading to faster diagnoses, and ultimately optimizing patient outcomes. Citation Format: Yasmine Abouleila, Roel Verkerk, Mayke Doorn, Timo Voskuilen, Gakuro Harada, Masahiko Watanabe, Lidwien Smabers, Hideaki Kyan, Takahiko Kumagai, Yuichi Hikichi, Rene Overmeer, Jeanine Roodhart, Kiyotaka Matsuno, Carla Verissimo, Sylvia Boj. Miniaturizing patient-derived organoid screening assays for predictive drug testing abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 4247.