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Get Free AccessSUMMARY Neuroendocrine neoplasms (NENs) comprise well-differentiated neuroendocrine tumors and poorly-differentiated carcinomas. Treatment options for patients with NENs are limited, in part due to lack of accurate models. To address this need we established the first patient-derived tumor organoids (PDTOs) from pulmonary neuroendocrine tumors and derived PDTOs from an understudied NEN subtype, large cell neuroendocrine carcinoma (LCNEC). PDTOs maintain the gene expression patterns, intra-tumoral heterogeneity, and evolutionary processes of parental tumors. Through drug sensitivity analyses, we uncover therapeutic sensitivities to an inhibitor of NAD salvage biosynthesis and to an inhibitor of BCL-2. Finally, we identify a dependency on EGF in pulmonary neuroendocrine tumor PDTOs. Consistent with these findings, analysis of an independent cohort showed that approximately 50% of pulmonary neuroendocrine tumors expressed EGFR. This study identifies a potentially actionable vulnerability for a subset of NENs, and further highlights the utility of these novel PDTO models for the study of NENs. Graphical abstract Highlights PDTOs of pulmonary NETs and LCNEC were established PDTOs recapitulate intra-tumoral heterogeneity and evolution of parental tumors Drug assays reveal therapeutic vulnerabilities and biomarkers Pulmonary NET PDTOs are dependent on EGF
Talya L. Dayton, Nicolas Alcala, Laura Moonen, Lisanne den Hartigh, Lise Mangiante, L. Lap, Antonella F. M. Dost, Joep Beumer, Sonja Levy, Rachel S. van Leeuwaarde, Wenzel M. Hackeng, Kris G. Samsom, Catherine Voegele, Alexandra Sexton Oates, Harry Begthel, Jeroen Korving, Lisa M. Hillen, Lodewijk A.A. Brosens, Sylvie Lantuéjoul, Sridevi Jaksani, Niels F.M. Kok, Koen J. Hartemink, Houke M. Klomp, Inne H.M. Borel Rinkes, Anne‐Marie C. Dingemans, Gerlof D. Valk, Menno R. Vriens, Wieneke A. Buikhuisen, José van den Berg, Margot Tesselaar, Jules L. Derks, Ernst‐Jan M. Speel, Matthieu Foll, Lynnette Fernandez-Cuesta, Hans Clevers (2022). Druggable Growth Dependencies and Tumor Evolution Analysis in Patient-Derived Organoids of Neuroendocrine Cancer. , DOI: https://doi.org/10.1101/2022.10.31.514549.
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Type
Preprint
Year
2022
Authors
35
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1101/2022.10.31.514549
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