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,

#4134 Assessment of the current and emerging criteria for the histopathological classification of lung neuroendocrine tumors in the lungNENomics project

Introduction: The lungNENomics project analysed 300 lung neuroendocrine tumors (NETs), of which 259 cases were pathologically reviewed by six expert pathologists.

Conference:

Presenting Author: Mathian E

Authors: Mathian E, Drouet Y, Sexton-Oates A, Papotti M, Pelosi G,

Keywords: Lung neuroendocrine neoplasm, Pathology, Deep-learning, Ki-67, PHH3,

#3409 Ascl1 and OTP identify four prognostic groups among atypical carcinoids

Introduction: Atypical Carcinoids (AC) according World Health Organization guidelines are well differentiated Lung Neuroendocrine tumor with 2-10 mitoses/2 mm2 and/or with necrosis. Besides morphological differentiation no further tools in predicting AC clinical outcome are proposed.

Conference:

Presenting Author:

Authors: Centonze G, Maisonneuve P, Grillo F, Mangogna A, Prinzi N,

Keywords: Atypical Carcinoid, lung, ascl1, otp,

#3120 Thinking and confusion about a well-differentiated grade 3 pancreatic neuroendocrine tumor

Introduction: In WHO Classification of Digestive System Tumors (2019 edition), pancreatic NENs are divided into well-differentiated NETs (including G1, G2, G3) and poorly differentiated NECs mainly based on the mitoses and Ki-67. G3 pNET and pNEC should have more than 20 mitoses/10 HPFs or their Ki-67 should be higher than 20%. However, WHO didn't clearly distinguish the Ki-67 cut-off value between them, and only 55% was recommended.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author: Ma Y

Authors: Ma Y, Song L, Li X, Yang M, Wang F,

Keywords: pancreatic neuroendocrine carcinoma, pancreatic neuroendocrine tumor, G3, P53, ATRX, DAXX, MEN1,

#2841 Novelties in Primary and Metastatic GEP-NENs Clinical Outcome Investigation

Introduction: Gastro-entero-pancreatic neuroendocrine neoplasms (GEP-NENs) WHO classification, using strict cut-offs, should reflect their biological features. In real world, strict cut-offs not adequately segregate prognostic groups, in particular on metastasis (M).

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Milione M

Authors: Kankava K, Maisonneuve P, Mangogna A, Centonze G, Cattaneo L,

Keywords: Gastro-entero-pancreatic neuroendocrine neoplasms, primary tumor, metastasis, Ki-67, mitoses, tumor deposits, clinical outcomes,