Abstract Library

#4636 Maximising the use of pancreatic enzyme replacement therapy (PERT) among patients with gastroenteropancreatic neuroendocrine neoplasms (GEPNENs) and exocrine pancreatic insufficiency (EPI)

Introduction: Patients with GEPNENs frequently develop EPI due to surgical resection or use of somatostatin analogues (SSAs), however it is significantly underdiagnosed. Untreated EPI has significant impact on overall quality of life with patients with GEPNENs.

Conference:

Presenting Author:

Authors: Grewal U, Chandar A,

Keywords: Pancreatic insufficiency, Pancreatic enzyme replacement therapy, Gastroenteropancreatic neuroendocrine neoplasm,

#4629 Identification of putative master regulators in pancreatic neuroendocrine tumours using gene expression data and network inference

Introduction: Pancreatic neuroendocrine tumours (pNETs) are a heterogenous group of pancreatic malignancies with a unique biology and pathophysiology. Tumour grade and extension are commonly used for prognostic determination. Current pathologic grading system needs regular updates to refine prognostic classification. Genomic screening may provide more objective classes and reflect tumour biology.

Conference:

Presenting Author: Jannin A

Authors: Jannin A, Elati M, Do Cao C, Figeac M, Leteurtre E,

Keywords: pancreatic neuroendocrine tumour, RNA-Seq, Master regulators, MEN1,

#4616 Clinical characterisation of patients with familial midgut neuroendocrine tumours (FM-NETs) based on a comparison with the large population-based GTE/RENATEN cohort

Introduction: The clinical specificities of FM-NET have been poorly described.

Conference:

Presenting Author: Hunaut T

Authors: Hunaut T, Hercent A, Walter T, Buecher B, Lepage C,

Keywords: Small intestine neuroendocrine tumour, Familial carcinoid tumour,

#4600 Artificial intelligence in predicting neuroendocrine tumour (NET) outcomes: A model-based prognostic approach

Introduction: Neuroendocrine tumours (NETs) vary widely in clinical behaviour, complicating prognosis. Traditional models often struggle with accuracy due to the complexity of NETs. Artificial intelligence (AI) offers tools for enhanced prognostic precision by analysing complex datasets. This study explores an AI-driven approach to predict outcomes in NET patients at Cantonment General Hospital, Pakistan.

Conference:

Presenting Author: Fatima A

Authors: Fatima A,

Keywords: artificial intelligence, machine learning, Precision medicine, Personalised treatment,

#4571 Characterisation and prognostic impact of carcinoid syndrome in bronchial neuroendocrine tumours

Introduction: Metastatic bronchial neuroendocrine tumours (MBNET) are associated with carcinoid syndrome in 10 to 40% of cases. Characteristics of carcinoid heart disease (CHD) are poorly described.

Conference:

Presenting Author: Baudin E

Authors: Hescot S, Marret G, Hadoux J, Laboureau S, Haissaguerre M,

Keywords: bronchial NET, carcinoid syndrome, 5HIAA, carcinoid heart disease,