Emerging organoid-immune co-culture models for cancer research: from oncoimmunology to personalized immunotherapies

Luc Magré1, Monique M A Verstegen2, Sonja Buschow1

  • 1Gastroenterology and Hepatology, Erasmus Medical Center, Rotterdam, The Netherlands.

Insights

Patient-specific tumor organoid-immune co-cultures can predict cancer immunotherapy response. These 3D models improve understanding of tumor-immune interactions and advance personalized cancer treatments.

Area of Science:

  • Oncology
  • Immunology
  • Biotechnology

Background:

  • Cancer immunotherapies like immune checkpoint inhibitors have revolutionized treatment but show limited efficacy due to tumor heterogeneity and resistance.
  • Predicting patient-specific responses to immunotherapeutics is crucial for efficient drug use and improved outcomes.
  • Current in vitro models using 2D cancer cell lines are unreliable for studying complex tumor-immune interactions.

Purpose of the Study:

  • To review the development of patient-specific tumor organoid-immune co-culture models.
  • To explore the application of these models in studying tumor-specific immune interactions and therapeutic infringement.
  • To highlight advancements in personalized cancer therapy and understanding the tumor microenvironment.

Main Methods:

  • Development of three-dimensional (3D) tumor-derived organoids.
  • Co-culturing organoids with patient-derived immune cells.
  • Utilizing these models to study tumor-immune interactions and assess therapeutic efficacy.

Main Results:

  • 3D tumor organoids more accurately mimic in vivo tissue compared to 2D cell lines.
  • Patient-specific organoid-immune co-cultures enable personalized screening of immunotherapies.
  • These models facilitate the generation of tumor-reactive lymphocytes for adoptive cell transfer.
  • Applications include screening immune checkpoint inhibitors and CAR T-cell therapies, and studying tumor progression/remission dynamics.

Conclusions:

  • Patient-specific tumor organoid-immune co-cultures represent a promising approach for personalized cancer therapy.
  • These models enhance understanding of complex tumor-immune interactions within the tumor microenvironment.
  • Future applications hold potential for developing novel therapeutic strategies and improving patient outcomes.

Related Concept Videos