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Multi-Omic Characterization and Evolution of Neuroendocrine Neoplasm Organoids


Introduction: Molecular characterizations of neuroendocrine neoplasm (NENs) have unveiled candidate alterations associated with aggressiveness and suggested that the molecular link between neuroendocrine tumors (NETs) and neuroendocrine carcinomas (NECs) might be subtler than initially thought. For example, we have recently unveiled a new entity of pulmonary carcinoids (supra-carcinoids) with carcinoid-like morphology yet the molecular and clinical features of large cell neuroendocrine carcinoma (LCNEC). Testing hypotheses to explain aggressiveness and the possibility of progression or transition from NET to NEC through the accumulation of genetic anomalies requires in vitro and in vivo experimental models.

Aim(s): Perform a multi-omics characterization of patient derived organoids (PDOs) from low- and high-grade NENs.

Materials and methods: Dr. Talya Dayton in the lab of Hans Clevers is developing a biobank of patient derived organoids (PDOs) from low- and high-grade NENs. We present the first multi-omic dataset (whole-genome, transcriptome, EPIC 850K methylation arrays) for neuroendocrine neoplasm organoids of the lung and pancreas, including longitudinal sampling of the organoids, the primary tumor and constitutional DNA.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Foll M

Authors: Alcala N, Dayton T, Mangiante L, Delhomme T, Tabone-Egling S,

Keywords: organoids, omics, evolution, lung, pancreas, bioinformatics,

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