Patient-derived medullary thyroid cancer organoids: a potential model for mechanistic studies on diagnostics and

Eline C Jager1,2, Luc H J Sondorp1,3, Rufina Maturi3,4

  • 1Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

European Thyroid Journal
|August 18, 2025
PubMed
Abstract

Insights

Researchers developed a novel medullary thyroid carcinoma (MTC) organoid model from patient biopsies. This MTC organoid model shows potential for guiding personalized PET tracer and tyrosine kinase inhibitor (TKI) selection in rare cancer treatment.

Area of Science:

  • Oncology
  • Biotechnology
  • Molecular Biology

Background:

  • Medullary thyroid carcinoma (MTC) is a rare neuroendocrine tumor, posing challenges for clinical trials and personalized treatment selection.
  • Current treatment decisions for MTC, including tyrosine kinase inhibitors (TKIs) and PET imaging, are often hindered by the disease's rarity.

Purpose of the Study:

  • To establish the first in vitro medullary thyroid carcinoma organoid model.
  • To explore the potential of this organoid model for guiding the selection of personalized PET tracers and TKI therapies.

Main Methods:

  • Medullary thyroid carcinoma organoids (MTOs) were generated from patient biopsies using Matrigel culture.
  • Self-renewal potential was assessed, and MTC-specific gene and protein expression (calcitonin, CEA) were characterized.
  • Proof-of-principle experiments involved exposing MTOs to TKIs and PET tracers.

Main Results:

  • Successful culture of MTC organoids from ten patient biopsies, demonstrating self-renewal capacity.
  • MTOs maintained MTC-specific gene and protein expression and functionality, including calcitonin and CEA production.
  • Preliminary TKI and PET tracer experiments showed potential, though limited by sample size.

Conclusions:

  • Medullary thyroid carcinoma organoids were successfully established, mirroring the original tissue's characteristics.
  • The MTC organoid model holds promise for future clinical applications in personalized therapy selection.
  • Further international, multi-center studies are necessary to validate these findings for clinical use.