Abstract Library

Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.

Everyone can browse the library to find basic information on abstracts. To get full access to each entry, you will be asked to log in to your myENETS account.

 

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Participants of the 2025 ENETS Conference enjoy full access to the 2025 conference digital resources through myENETS: the abstract booklet, e-posters and videos, slide decks of talks, the poster carousel, and more.

ENETS Abstract Search

#4625 Efficacy and safety of capecitabine-temozolomide (CAPTEM) regimen in patients with neuroendocrine neoplasms – A systematic review and experience from NETwerk, a Belgian ENETS Center of Excellence

Introduction: Current treatment guidelines remain inconclusive due to scarcity of data regarding the optimal systemic treatment for metastatic gastroenteropancreatic (GEP) neuroendocrine tumours (NET) grade 3 and aggressive GEP-NET grade 2. Similarly, for metastatic pulmonary typical (TC) and atypical carcinoids (AC), the indication for chemotherapy is unclear. Recent evidence highlights a promising role for CAPTEM, combining temozolomide (TEM) with capecitabine (CAP), showing encouraging antitumoural activity and safety profiles for these indications.

Conference:

Presenting Author: Chhajlani S

Authors: Chhajlani S, Lambrechts C, Islam O, de Weerdt C, Verbruggen L,

Keywords: capecitabine, temozolomide, CAPTEM, GEP-NET, pulmonary NEN, safety, efficacy, systematic review,

#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,

#4594 RNA splicing as a key regulatory player with translational potential in pulmonary neuroendocrine neoplasms (lungNETs)

Introduction: Neuroendocrine tumours (NETs) are a diverse group of neoplasms arising from neuroendocrine cells. Within this group, lung neuroendocrine tumours (LungNETs) represent one of the most frequent subtypes of NETs. LungNETs are classified by grade, according to their proliferative index and aggressiveness. Among them, typical carcinoids (G1) and atypical carcinoids (G2) are the lowest grade subtypes. While these tumours are less aggressive, they remain underexplored compared to higher-grade subtypes, highlighting the need for molecular studies to improve clinical approaches. In this context, previous studies have shown that abnormalities in the splicing machinery are frequent in tumour pathologies and also occur in LungNETs.

Conference:

Presenting Author:

Authors: Gutiérrez Camacho L, Ruiz-Palacios D, García Vioque V, González-Pérez C, Moreno Montilla M,

Keywords: splicing, neuroendocrine tumour, Lung NET, typical carcinoid, atypical carcinoid,

#4585 Short-term observation of liver transplantation combined with multidisciplinary integrated treatment of liver metastases from neuroendocrine tumours beyond the Milan criteria

Introduction: The continuous progress of comprehensive treatment enables neuroendocrine tumour liver metastasis (NENLM) that meets Milan criteria to achieve longer survival without liver transplantation (LT). LT often faces high tumour burden, while comprehensive treatment also brings new opportunities for recurrence.

Conference:

Presenting Author: Chen C

Authors: Chen C, Jiang W, Chen J, Liang Y, Xie Y,

Keywords: liver transplantation, neuroendocrine tumour liver metastasis, Milan Criteria, comprehensive treatment,

#4583 Improved assessment of gene rearrangements by targeting non-coding DNA regions in patients diagnosed with pancreatic neuroendocrine neoplasms

Introduction: Whole-genome sequencing projects documented the heterogeneity of pancreatic neuroendocrine neoplasms (PanNEN), while showing that few core pathways are consistently affected in their tumorigenesis. Comprehensive genomic profiling (CGP) of real-world cases is expected to recapitulate such heterogeneity for patient stratification and to inform precision therapy. While coding DNA is the focus of current CGP panels, the potential of targeting non-coding DNA (ncDNA) to improve structural variants detection has not been widely explored in this context.

Conference:

Presenting Author: Agnoletto C

Authors: Agnoletto C, Trevisani E, Borghesani M, Landoni L, Luchini C,

Keywords: neuroendocrine, non-coding DNAs, structural variants, clinical relevance, CGP panel,