Patient-derived tumor organoids as a platform of precision treatment for malignant brain tumors

Chun-Chung Chen1,2,3, Hong-Wei Li4, Yuan-Liang Wang5,4,6

  • 1Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan, ROC. cck36701@gmail.com.

Scientific Reports
|September 30, 2022
PubMed

Insights

Patient-derived organoids (PDOs) show promise for treating malignant brain tumors. These organoids accurately predicted patient responses to therapies, supporting their use in personalized medicine.

Area of Science:

  • Neuro-oncology
  • Cancer biology
  • Translational medicine

Background:

  • Malignant brain tumors, including primary and metastatic types, present significant therapeutic challenges.
  • Patient-derived organoids (PDOs) offer a promising preclinical model due to their ability to mimic primary tumor biology.
  • PDOs are emerging as valuable tools for drug screening and personalized therapy development.

Purpose of the Study:

  • To evaluate the feasibility and accuracy of using PDOs as a drug-screening model for advanced malignant brain tumors.
  • To assess the correlation between PDO drug sensitivity testing and actual patient responses in a clinical setting.

Main Methods:

  • Surgically resected tumor tissues from 26 advanced malignant brain tumor patients were used to generate PDOs.
  • Organoids were cultured for approximately two weeks.
  • Drug sensitivity testing was performed on PDOs from three patients, with results compared to their clinical treatment outcomes.

Main Results:

  • Successful generation of PDOs from 13 out of 26 (50%) patient tumor tissues.
  • Organoid drug sensitivity testing demonstrated consistency with patient responses to clinical therapies.
  • The study provides a proof-of-concept for PDOs in predicting treatment efficacy.

Conclusions:

  • PDOs can effectively recapitulate the biological characteristics and therapeutic responses of malignant brain tumors.
  • PDOs hold significant potential for advancing personalized medicine approaches in neuro-oncology.
  • This approach may improve treatment selection and patient outcomes for malignant brain tumors.

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