Evidence map›Paper›PMID 40823969›Full record

ArticleEuropean thyroid journal2025

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

Eline C Jager, Luc H J Sondorp, Rufina Maturi, Inês F Antunes, Bettien M van Hemel, Uilke Brouwer, Liesbeth Jansen, Wouter T Zandee, Adrienne H Brouwers, Thera P Links and 2 more

Abstract read
In one paragraph

Article in European thyroid journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Eline C JagerDepartment of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-8296-6703
Luc H J SondorpDepartment of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0009-0003-3798-9393
Rufina MaturiDepartment of Biomedical Sciences, Section Molecular Cell Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Inês F AntunesDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Bettien M van HemelDepartment of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Uilke BrouwerDepartment of Biomedical Sciences, Section Molecular Cell Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Liesbeth JansenDepartment of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Wouter T ZandeeDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Adrienne H BrouwersDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Thera P LinksDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-5327-1718
Rob P CoppesDepartment of Biomedical Sciences, Section Molecular Cell Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Schelto KruijffDepartment of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-5151-7320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Medullary thyroid carcinoma (MTC) is a rare neuroendocrine thyroid tumor, with only 30 new patients annually in the Netherlands. PET imaging provides information on distant metastases, after which tyrosine kinase inhibitors (TKIs) may be initiated. The rarity of the disease impedes large controlled trials, and therefore the challenge of selecting the best TKI and PET tracer for individual patients persists. To explore whether an in vitro model could be developed to guide the selection of appropriate PET tracers or TKI therapies in the future, we aimed to establish an MTC organoid model for the first time. Methods: Dispersed cells from MTC biopsies were suspended in Matrigel, allowing organoid formation. The self-renewal potential was tested by dissociation and re-plating cells and determining organoid-forming efficiency. MTC-specific gene and protein expression were characterized by qPCR and immunofluorescent staining. Moreover, MTC-organoids (MTOs) were exposed to TKIs and PET tracers in proof-of-principle experiments. Results: Ten MTC biopsies were processed and successfully cultured as MTOs. MTC-derived cells showed self-renewal potency for several passages, indicating the presence of putative stem cells. Gene and protein expression of MTC-specific markers in tissue and MTOs, and function measurements showed the production of calcitonin and CEA. Interpretation of the preliminary experiments with TKIs and PET tracers was limited by sample size but demonstrates their future potential. Conclusion: We were able to culture MTC organoids that resemble the original tissue in gene expression, protein expression, and functionality. However, international, multi-center studies are required to meet the standards for future clinical applications.

Indexed as

Carcinoma, NeuroendocrineOrganoidsThyroid NeoplasmsFemaleHumansMaleMiddle AgedPositron-Emission TomographyProtein Kinase InhibitorsProtein Kinase Inhibitorscancer stem cellsdrug screeningmedullary thyroid cancerpatient-derived tumor organoidsPET tracer

Identifiers

PMID40823969
PMCPMC12421984

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.