Abstract Library
Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.
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Introduction: Pancreatic Neuroendocrine tumours (PanNETs), the most common site for GEP‑NENs in Asian countries, particularly India, have shown increasing incidence. Due to a lack of specific biomarkers, often detected at advanced stages. So, this study utilised PanNET tissue proteomics for cancer biomarker discovery and explored the impact of small extracellular cellular vesicles (sEVs) in PanNET growth and metastasis, as they reflect the molecular profile of their tissue of origin.
Conference:
Presenting Author:
Authors: Gorai P, As S, Naik M, Kumar S, Pal S,
Keywords: Decorin, small extracellular vesicles, Pancreatic Neuroendocrine Tumour, Proteomics, circulating biomarker,
Introduction: Molecular profiling (MP) in neuroendocrine neoplasm (NEN) tumor tissue may be useful for precision medicine. Liquid biopsy (LB) is an alternative noninvasive strategy to perform MP.
Conference:
Presenting Author:
Authors: Gagliardi I, Boilève A, Fodil-Cherif S, Moog S, Lamartina L,
Keywords: neuroendocrine tumor, neuroendocrine carcinoma, molecular profile, liquid biopsy, clonal hematopoiesis,
#4070 Ordinary colorectal cancers expressing synaptophysin: Myth or reality?
Introduction: Despite the neuroendocrine differentiation in CRCs has been extensively assessed, currently there are no established criteria for inclusion for this designation.
Conference:
Presenting Author:
Authors: Sabella G,
Keywords: neuroendocrine, MANEC, synapthophysin,
Introduction: Multi-omic studies have identified three pulmonary carcinoid (PC) subtypes (A1, A2, B) with unique expression for OTP, ASCL1 & HNF1a.
Conference:
Presenting Author: Derks J
Authors: Derks J, Moonen L, Leunissen D, von der Thüsen J, den Bakker M,
Keywords: lung carcinoid, biomarker, molecular profile, OTP, ASCL1, HNF1a,
Introduction: Lung neuroendocrine tumors (LNETs) are subdivided into low-grade (typical) and intermediate-grade (atypical) carcinoids, at higher risk of developing metastases. We have previously identified 3 LNETs molecular groups with different prognoses, as well as “supra-carcinoids” with molecular profiles of higher-grade neuroendocrine carcinomas. Despite promising results, there is still no consensus on their differential diagnosis and treatment and little is known about how some tumors evolve toward more aggressive phenotypes.
Conference:
Presenting Author:
Authors: Foll M, Sexton-Oates A, Mathian E, Alcala N, Mangiante L,
Keywords: lung carcinoid, deep learning, genomic, evolution, multi-omics, spatial analyses,