Patient-Derived Organoid Models of Human Neuroendocrine Carcinoma

Krijn K Dijkstra1,2, José G van den Berg3, Fleur Weeber1,2

  • 1Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands.

Insights

Tumor organoids offer a promising new model for studying gastroenteropancreatic neuroendocrine carcinoma (GEP-NEC). These GEP-NEC organoid lines show potential for preclinical research and drug development for this challenging cancer.

Area of Science:

  • Oncology
  • Gastroenterology
  • Cancer Biology

Background:

  • Gastroenteropancreatic neuroendocrine carcinoma (GEP-NEC) is poorly understood with limited therapeutic strategies.
  • Development of representative preclinical models is crucial for advancing GEP-NEC research.
  • Tumor organoids, as three-dimensional cell cultures, present a novel approach for disease modeling.

Purpose of the Study:

  • To establish and characterize GEP-NEC organoid lines for preclinical modeling.
  • To assess the fidelity of organoids in representing the original tumor characteristics.
  • To evaluate the potential of organoids in predicting patient response to chemotherapy.

Main Methods:

  • Establishment of three GEP-NEC organoid lines from stomach and colon tumors.
  • Characterization using DNA sequencing and immunohistochemistry (synaptophysin, chromogranin, Ki-67).
  • Assessment of organoid chemosensitivity against clinical response to cisplatin and everolimus.

Main Results:

  • GEP-NEC organoid lines were successfully established, reflecting original tumor expression profiles.
  • Potential overgrowth of non-neuroendocrine components in mixed tumors was observed.
  • Organoid chemosensitivity correlated with clinical responses in three patient-derived models.

Conclusions:

  • Organoid culture is a feasible method for generating GEP-NEC preclinical models.
  • These organoids can accurately model GEP-NEC and support drug discovery efforts.
  • Organoid models offer a valuable tool to improve treatment strategies for GEP-NEC.

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