Abstract Library

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

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ENETS Abstract Search

#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,

#4076 Machine learning model: Predicting prognosis in neuroendocrine tumors

Introduction: Neuroendocrine tumors (NETs) have a heterogeneous clinical course. Even with similar Ki-67 proliferative index/morphology, the course varies in patients with similar pathological characterization.

Conference:

Presenting Author:

Authors: Varghese D, Naimian A, Yazdian P, Lokre O, Perk T,

Keywords: Neuroendocrine tumor, artificial intelligence, DOTATATE scan,

#3026 IMP3 and Ki-67-Factors of Poor Clinical Outcome in Neuroendocrine Tumors of the Lung

Introduction: Insulin- like growth factor-II messenger RNA- binding protein- 3 (IMP3) is often detected in malignant neoplasm of different sites. Ki-67 proliferative index, although helpful in diagnosing neuroendocrine tumours of lung, has not been recognised as prognostic factor.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Bełz A, Stęplewska K, Głogowska- Szeląg J,

Keywords: carcinoid, IMP3, Ki-67, neuroendocrine,

#2242 Diagnostic Utility of Ki-67 as a Mean to Predict the Uptake of Functional Imaging Modalities in Patients with Neuroendocrine Neoplasms

Introduction: Functional imaging with FDG-PET and somatostatin receptors scintigraphy (SRS), play a key role in the diagnosis, treatment and follow-up of patients with neuroendocrine neoplasms (NENs). The proliferative index, ki67, is a reliable pathological marker for grading.

Conference: 15th Annual ENETSConcerence (2018)

Presenting Author: Mavroeidi V

Authors: Liotsou T, Mavroeidi V, Alexandraki K, Stefanoyiannis A, Thomas D,

Keywords: SRS, PET-FDG, ki-67, NENs,

#1911 Histological Differentiation Provides Useful, Additive and Independent Prognostic Information to Proliferation Index in G2 and G3 Gastroenteropancreatic Neuroendocrine Neoplasms (GEP-NENs)

Introduction: The WHO 2010 classification has provided a valuable tool to stratify NEN prognosis based on an objective measure, the proliferation index. However, morphology and, in particular, tumor differentiation, is emerging again as a relevant feature that should not be dismissed due to its important clinical implications.

Conference: 14th Annual ENETSConcerence (2017)

Presenting Author: García Carbonero R

Authors: Sánchez Cánovas M, Nuñez B, Benavent M, Teulé A, Segura A,

Keywords: WHO 2010 classification,