Abstract Library

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

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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

#4177 Performance of a prognostic OTP, CD44, Ki-67 biomarker panel on paired biopsies and resections of lung carcinoids

Introduction: Previously OTP, CD44 and ki-67 have been identified as prognostic biomarkers for lung carcinoid (LC).

Conference:

Presenting Author: van Weert T

Authors: van Weert T, Moonen L, Hillen L, von der Thüsen J, Lap L,

Keywords: OTP, CD44, Ki-67, lung carcinoid, relapse prediction,

#4028 Clinical application of digital pathology: Proposal of a new G0 category useful in small intestinal NET (SI-NET)

Introduction: SI-NET display low proliferation rate despite a high frequency of metastases. Ki67 index is frequently reported as “

Conference:

Presenting Author: Couvelard A

Authors: Guedj N, Cléry G, Chassac A, Hentic O, Colnot N,

Keywords: Small Intestinal NET-, grade, survival, prognosis, G1,

#4027 Prognostic impact of molecular signatures in pancreatic metastatic neuroendocrine tumors (PRODETEN)

Introduction: Pancreatic neuroendocrine neoplasms (PNENs) are an heterogenous group of tumors. This heterogeneity is not explained by the main known prognostic factors (extension, evolution slope and Ki67 index). New molecular biomarkers (ARX, ATRX, DAXX, menin, PDX1) seem promising in non-metastatic PNENs.

Conference:

Presenting Author: de Mestier L

Authors: Pokossy Epee J, Cros J, Cadiot G, Do Cao C, Hautefeuille V,

Keywords: pancreas, neuroendocrine, prognostic, ATRX, daxx, arx, pdx1, Super Learner, menin, biomarker,

#3955 Development of clinically representative patient-derived organoid models for diverse G1/G2 gastroenteropancreatic neuroendocrine tumors

Introduction: While gastroenteropancreatic neuroendocrine tumors (GEP-NETs) grow slowly, they are incurable when reaching advanced stages. The characteristic slow growth of GEP-NETs results in the scarcity of clinically relevant models that has hindered our comprehension of GEP-NET biology and pathology, leading to limited progress in systemic therapies of GEP-NET treatment.

Conference:

Presenting Author:

Authors: Zuo X, Liu Y, Maxwelll J, Halperin D, Dasari A,

Keywords: gastroenteropancreatic neuroendocrine tumors, patient-derived organoids, Dox-controlled genetic modifications, characterization,

#3910 Integrative molecular analysis of lung neuroendocrine neoplasms with different Ki-67 indices identifies a molecular transition group between low- and high-grade neoplasms

Introduction: In the 2021 World Health Organization (WHO) classification of lung cancers, lung neuroendocrine neoplasms (LNENs) are classified as low-grade, intermediate-grade and high-grade based on mitotic count but not Ki-67 index, as for GEP-NENs.

Conference:

Presenting Author:

Authors: Simbolo M, Centonze G, Ali G, Grillo F, Sabella G,

Keywords: lung neuroendocrine tumor, NET grade 3, next generation sequencing, transcriptomics,