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

#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,

#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,

#3586 Grading diagnostic accuracy of EUS Tissue Acquisition in pancreatic neuroendocrine tumors: A systematic review and meta-analysis

Introduction: Pancreatic neuroendocrine neoplasms (PanNENs), are a form of neoplasms arising from cells of the endocrine and nervous systems. Grading (G) is one of the most important decisional factor for therapy as is associated with prognosis, overall survival and disease free survival decrease. Endoscopic ultrasound fine needle-aspiration/biopsy (EUS-FNA/B) is the gold standard for diagnosing PanNENs and Ki67 evaluation, but data regarding accuracy and concordance with post-surgical histological examination are scanty and heterogeneous.

Conference:

Presenting Author:

Authors: Tacelli M, Bina N, Crinò S, Facciorusso A, Barresi L,

Keywords: endoscopic ultrasound, net, ki67, who, misclassification,