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April 5, 2026Cancer Research0 citations

Abstract 2515: Preserving predictive power with minimal PDOs: Accelerated drug testing for personalized therapy in metastatic CRC

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YAYasmine AbouleilaRVRoel VerkerkMDMayke Doorn

Key Points

  • The aim is to streamline drug testing for metastatic colorectal cancer using minimal patient-derived organoids to ensure timely treatment options.
  • Developed an automated organoid-handling workflow with the Yamaha CELL HANDLER™ system.
  • Reduced organoid requirement from 250 to 10 PDOs per well through miniaturization.
  • Measured drug sensitivity and correlated PDO responses with patient outcomes.
  • Utilized image-based quantification for accurate data collection.
  • Drug sensitivity results from the miniaturized assay closely matched those from conventional screening (R=0.67-0.85, p<0.03).
  • PDO responses strongly correlated with progression-free survival (R = -0.85, p < 0.01).
  • The new approach significantly shortened the turnaround time for drug testing while preserving predictive power.

Abstract

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, p0.03). 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. 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 S. Verissimo, Robert G. Vries, Sylvia F. Boj. Preserving predictive power with minimal PDOs: Accelerated drug testing for personalized therapy in metastatic CRC abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2515.

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Abouleila et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd4ea79560c99a0a3467https://doi.org/10.1158/1538-7445.am2026-2515
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