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
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,
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,
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,
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,
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,