Patient-Derived Cancer Organoids for Precision Oncology Treatment

Mark N Pernik1, Cylaina E Bird1, Jeffrey I Traylor1

  • 1Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA.

Insights

Patient-derived cancer organoids (PDOs) offer a more accurate preclinical cancer model than traditional methods. These 3D models retain tumor heterogeneity and therapeutic responsiveness, aiding precision oncology.

Area of Science:

  • Oncology
  • Biotechnology
  • Regenerative Medicine

Background:

  • Traditional preclinical cancer models like cell lines and xenografts lack tumor cellular heterogeneity.
  • Xenograft models are time-consuming and resource-intensive, limiting their clinical trial applicability.
  • Three-dimensional human organoids enable the development of patient-derived cancer organoid (PDO) models that closely mimic parental tumors.

Purpose of the Study:

  • To review the current literature on cancer organoids.
  • To highlight the history and development of PDOs.
  • To discuss organoid models of glioma and their clinical applications.

Main Methods:

  • Review of existing scientific literature on cancer organoids and PDOs.
  • Focus on studies detailing PDO development and characterization.
  • Analysis of PDO applications in preclinical cancer research, particularly for gliomas.

Main Results:

  • PDOs efficiently recapitulate parental tumor tissue, including cellular heterogeneity, cell-cell and cell-stroma interactions, and the tumor microenvironment.
  • PDOs demonstrate therapeutic responsiveness, similar to the original tumors.
  • PDO models and drug-screening protocols are established for various solid tumors and gliomas.

Conclusions:

  • PDOs offer a powerful tool for preclinical cancer research due to their ability to retain key tumor characteristics.
  • The development of PDOs in clinically relevant time frames supports their potential in advancing precision oncologic care.
  • PDOs, especially for gliomas, show promise for improving personalized treatment strategies and informing clinical decisions.

Related Concept Videos