Abstract Library

#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,

#2739 Epigenetic Landscape of Pancreatic Neuro-Endocrine Tumors Reveals Distinct Cells of Origin and Means of Tumor Progression

Introduction: Pancreatic Neuroendocrine Tumors (PanNETs) arise from cells of the Islets of Langerhans. The majority of PanNETs are non-functional and their cell of origin cannot be defined analysing specific hormone production. Cell of origin assessment has proven importance to identify risk factors, prevent tumour development, and tailor treatment in many malignancies. Recent data on super-enhancer signatures has suggested a potential origin of PanNET from α- or β-cells. We and others have shown that distinct epigenetic profiles assessed by DNA methylation (DNAme) characterize genomic and prognostic groups of PanNET.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Di Domenico A

Authors: Di Domenico A, Pipinikas C, Maire R, Bräutigam K, Vassella E,

Keywords: cell of origin, alpha, beta, methylation, expression, epigenetic, neuroendocrine, progression, PanNET, tumor,

#2180 BRAF-V600E Driven Mutations in Grade 3 Neuroendocrine Carcinomas of Colon Origin: Results from Genomic/Epigenomic Profilings and Patient-Derived Mouse Model

Introduction: NECs of colon origin are orphan and highly aggressive neoplasms with limited molecular knowledge.

Conference: 15th Annual ENETSConcerence (2018)

Presenting Author: Capdevila J

Authors: Capdevila J, Mancuso F, Landolfi S, Martinez-Cardus A, Barriuso J,

Keywords: Neuroendocrine carcinoma, Genomics, Epigenomics, BRAFV600E, Patient-derived xenograft,