Abstract Library

#3056 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.

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,

#2980 Metabolic Dysregulation and Circadian Clock in Cellular Models of Neuroendocrine Tumors

Introduction: The circadian clock genes encode transcription factors whose interaction with nuclear receptors allows the regulation of cellular metabolism.The invalidation of the genes of the clock core is associated with the development of many endocrine diseases including neuroendocrine cancer. Recently, the family of transcriptional coactivators PGC-1a has been identified as a key element in the integration of cellular metabolic state with the circadian clock. PRC, as a member of the PGC-1 family, was able to interact with several transcription factors, including the CLOCK factor. The specific induction of this PRC factor by the cell cycle, to modulate the energy function, the MAPkinase pathway and the expression of microRNAs, makes it a key factor in the metabolic adaptation of cancer cells.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Savagner F

Authors: Savagner F, Le Pennec S,

Keywords: Metabolism, Circadian clock, cell models,

#2902 DNA Methylation Analysis of the PDX1 Gene Can Be Used for PNET Subtyping and Has a Possible Prognostic Value

Introduction: Estimating prognosis of pancreatic neuroendocrine tumor (PNET) patients remains challenging. Mutation status of DAXX/ATRX/MEN1, histone modification patterns and immunohistochemistry for relevant transcription factors, including PDX1, were recently used to perform subtyping and distinguished two main types, A and B. These subtypes are linked to cell-of-origin and associated with clinical outcome.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Boons G, Vandamme T, Ibrahim J, Schepers A, Roeyen G,

Keywords: Pancreatic Neuroendocrine Tumor, DNA Methylation, Prognostic Biomarker,

#2846 Whole Genome DNA Methylation Profiling Identifies Neuroendocrine Tumor Origin

Introduction: Determining the origin of a neuroendocrine tumor (NET) of unknown primary can be challenging. Liver metastases can originate from any organ in the body, while pulmonary NETs can be metastases but also primary tumors. This especially holds true for Multiple Endocrine Neoplasia Type 1 patients, who often have multiple primary pancreatic and intestinal NETs. It is important to know the origin of the primary tumor since resection or ablation is crucial in case of treatment with curative intent. Furthermore, the site of origin determines prognosis, treatment options and eligibility for clinical trials.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Hackeng W, Geisenberger C, de Leng W, Morsink F, Vriens M,

Keywords: Methylation profiling, Neuroendocrine tumor, Machine Learning, Unknown Primary,

#2745 Integrative Genomic Characterization Identifies Molecular Subtypes of Lung Carcinoids

Introduction: Lung carcinoids (LCs) are rare and slow growing primary lung neuroendocrine tumors. The WHO classify LCs into atypical and typical carcinoids. Recent studies have shown that the reproducibility of LCs classification and its prognostic efficacy have high interobserver variability

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Laddha S

Authors: Laddha S, da Silva E, Robzyk K, Untch B, Ke H,

Keywords: MEN1, Lung Carcinoid, Lung Cancer, ASCL1, Novel Molecular Subtypes, Genotype to Phenotype, Integrative Genomic Analysis, Biomarkers, Genomics and Epigenomics,