Patient derived tumoroids of high grade neuroendocrine neoplasms for more personalized therapies

There are no therapeutic predictive biomarkers or representative preclinical models for high-grade gastroenteropancreatic neuroendocrine neoplasms (GEP-NEN), a highly aggressive, fatal, and heterogeneous malignancy. We established patient-derived (PD) tumoroids from biobanked tissue samples of advan...

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Veröffentlicht in:NPJ precision oncology 2024-03, Vol.8 (1), p.59-59, Article 59
Hauptverfasser: April-Monn, Simon L., Kirchner, Philipp, Detjen, Katharina, Bräutigam, Konstantin, Trippel, Mafalda A., Grob, Tobias, Statzer, Cyril, Maire, Renaud S., Kollàr, Attila, Chouchane, Aziz, Kunze, Catarina A., Horst, David, Sadowski, Martin C., Schrader, Jörg, Marinoni, Ilaria, Wiedenmann, Bertram, Perren, Aurel
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Sprache:eng
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Zusammenfassung:There are no therapeutic predictive biomarkers or representative preclinical models for high-grade gastroenteropancreatic neuroendocrine neoplasms (GEP-NEN), a highly aggressive, fatal, and heterogeneous malignancy. We established patient-derived (PD) tumoroids from biobanked tissue samples of advanced high-grade GEP-NEN patients and applied this model for targeted rapid ex vivo pharmacotyping, next-generation sequencing, and perturbational profiling. We used tissue-matched PD tumoroids to profile individual patients, compared ex vivo drug response to patients’ clinical response to chemotherapy, and investigated treatment-induced adaptive stress responses. PD tumoroids recapitulated biological key features of high-grade GEP-NEN and mimicked clinical response to cisplatin and temozolomide ex vivo. When we investigated treatment-induced adaptive stress responses in PD tumoroids in silico, we discovered and functionally validated Lysine demethylase 5 A and interferon-beta, which act synergistically in combination with cisplatin. Since ex vivo drug response in PD tumoroids matched clinical patient responses to standard-of-care chemotherapeutics for GEP-NEN, our rapid and functional precision oncology approach could expand personalized therapeutic options for patients with advanced high-grade GEP-NEN.
ISSN:2397-768X
2397-768X
DOI:10.1038/s41698-024-00549-2