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June 7, 2026Journal of Translational MedicineOpen Access

Personalized therapeutic platform: organoid models for hepatic malignancies

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Authors

ZZZiyan ZhouTMTingting MaNTNing Tang

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Overview

Randomized trial demonstrates improved drug response prediction in hepatic malignancies, highlighting personalized therapy's potential.

Key Points

  • This study aims to establish a platform using patient-derived organoids (PDOs) to predict drug responsiveness in hepatic malignancies.
  • PDOs were created from fresh tumor tissues of 29 patients with hepatic malignancies, achieving a 79.31% success rate.
  • Drug sensitivity testing was conducted with standard-of-care therapeutics, and model stability was confirmed through serial passaging and cryopreservation.
  • Clinical correlation was assessed by prospectively comparing PDO-predicted sensitivity with actual treatment responses in 16 patients.
  • Patients receiving PDO-predicted sensitive agents had an objective response rate (ORR) of 36.36% (95% CI: 10.93–69.21).
  • Disease control rate (DCR) for patients matched with sensitive therapies was 90.91% (95% CI: 58.72–99.77), whereas those with resistant therapies had 0% ORR and 20% DCR.
  • PDOs demonstrated high morphological consistency and drug sensitivity reproducibility across passaging and preservation.

Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/6a250a0b7def13d035e1a504https://doi.org/10.1186/s12967-026-08391-9
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