Abstract Library
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ENETS Abstract Search
#3049 Organoid Models of Neuroendocrine Cell Growth and Tumorigenesis
Introduction: A paucity of in vitro and in vivo models has limited the study of Neuroendocrine neoplasms (NENs). Moreover, little is known about normal neuroendocrine (NE) cells and how they contribute to NEN formation.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author:
Authors: Dayton T, Den Hartigh L, Levy S, van den Berg J, Kok N,
Keywords: Organoids, NENs, pulmonary neuroendocrine cells,
Introduction: There is a paucity of knowledge regarding NEN and HIV infection in the literature.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author:
Authors: Hayes A, Smith K, Liu M, Jenkinson S, Grossman A,
Keywords: Neuroendocrine, Carcinoid, Merkel cell carcinoma, Human immunodeficiency virus, HIV, Prognosis,
#3020 Outcomes Following Surgical Management of Pulmonary Carcinoids – A Tertiary Center Experience
Introduction: Pulmonary carcinoids are a rare type of malignant lung tumour. Surgery forms the mainstay of management when operable. However, there is paucity of data on conservative management and effective follow-up strategies.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Hoshen M
Authors: Hoshen M, Nallathambi C, Mohan Das L, Clarke K, Robson J,
Introduction: A prediction model to predict recurrence within 5 years after surgery for nonfunctional pancreatic neuroendocrine tumors (PanNets) was recently published. This model includes WHO tumor grade, lymph node status and perineural invasion as predictors.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author:
Authors: Heidsma C, Van Dieren S, Gill A, Engelsman A, Strobel O,
Keywords: Prediction model, recurrence, pancreatic neuroendocrine,
Introduction: The lack of an accurate blood biomarker in neuroendocrine tumor (NET) disease impedes effective management.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Oberg K
Authors: Öberg K, Califano A, Strosberg J, Ma S, Pape U,
Keywords: NETest, Meta-analysis, biomarker, in vitro diagnostic, diagnostic, management, NET, AUC, ROC,