PO.CL07.01 · 临床研究

Preserving predictive power with minimal PDOs: Accelerated drug testing for personalized therapy in metastatic CRC

编号 2515 展板 22 时间 4/20 09:00–12:00 区域 Section 43 主讲 Carla Verissimo, PhD
分会场 Data-Driven Approaches to Precision Oncology
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作者与单位

Yasmine Abouleila1, Roel Verkerk1, Mayke Doorn1, Timo Voskuilen1, Gakuro Harada2, Masahiko Watanabe2, Lidwien Smabers3, Hideaki Kyan2, Takahiko Kumagai2, Yuichi Hikichi2, Rene Overmeer1, Jeanine Roodhart3, Kiyotaka Matsuno2, Carla S. Verissimo1, Robert G. J. Vries1, Sylvia F. Boj1

1HUB Organoids B.V., Utrecht, Netherlands,2Yamaha Motor, Shizuoka, Japan,3University Medical Center Utrecjt (UMCU), Utrecht, Netherlands

摘要 Abstract

Patients with relapsed or metastatic colorectal cancer (CRC) face limited treatment options, significant side effects, and prolonged delays in identifying effective therapies. Patient-derived organoids (PDOs; HUB Organoids®) provide a clinically relevant platform that faithfully mirrors individual tumour biology, enabling personalised drug testing. However, conventional drug screening formats typically require several hundred organoids per well, limiting the feasibility of using PDOs to guide real-time treatment decisions at diagnosis or relapse. Translational speed is critical: in metastatic CRC, there is a narrow window to select effective therapy before disease progression or treatment-related toxicity occurs. Traditional preclinical models often take weeks to months, which is too slow to inform immediate patient care. To address this limitation, we developed an automated organoid-handling workflow using the Yamaha CELL HANDLER™ system, enabling precise transfer and image-based quantification while requiring far fewer organoids per well. Miniaturisation reduced input material by 96% (from 250 to 10 PDOs per well) compared to conventional screening. Drug sensitivity of PDOs measured using the miniaturised assay closely mirrored that of conventional screening (R=0.67-0.85, p<0.03). PDO responses in the miniaturised assay also correlated with patient outcomes, including progression-free survival (R = -0.85, p < 0.01).By combining automation, miniaturisation, and quantitative readouts, this platform preserves the predictive power of PDOs, drastically reduces the need for organoids, and shortens turnaround time.
利益披露 Disclosure
Y. Abouleila, None.. R. Verkerk, None.. M. Doorn, None.. T. Voskuilen, None.. G. Harada, None.. M. Watanabe, None.. L. Smabers, None.. H. Kyan, None.. T. Kumagai, None.. Y. Hikichi, None.. R. Overmeer, None.. J. Roodhart, None.. K. Matsuno, None.. C. S. Verissimo, None.. R. G. J. Vries, None.. S. F. Boj, None.

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