Abstract Library

#3010 International Validation of a Nomogram to Predict Recurrence after Resection of Grade 1 and 2 Pancreatic Neuroendocrine Tumors

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,

#2977 Predicting Survival in Patients with a Neuroendocrine Tumor of the Small Intestine (SI-NET)

Introduction: SI-NET comprise the largest group of neuroendocrine tumors. Because of their heterogeneity, predicting survival has proven challenging. A nomogram (NG) to assess SI-NET disease specific survival (DSS) has been developed in 2010 by Modlin, et al. based on analysis of retrospective data from the Surveillance, Epidemiology and End Results (SEER) database.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Levy S, van Veenendaal L, Korse C, Verbeek W, Vriens M,

Keywords: SI-NET, Nomogram, Survival,

#2961 Our Experience Using a New Scoring System to Detect Disease Recurrence after Curative Surgical Resection of Well-Differentiated Pancreatic Neuroendocrine Tumors

Introduction: For patients with nonfunctioning pNET  ≥20 mm in size without distant metastasis, complete surgical resection is recommended as the primary curative strategy. Effective follow‐up programs are designed to detect recurrence at an early stage, given that treatment of limited disease has the most favorable outcome. However, data on post‐curative surgical recurrence remains limited, making it challenging to determine the best follow‐up strategy and to detect the best treatment options as an adjuvant therapy for selected patients.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Mastrangelo L

Authors: Mastrangelo L, Cipressi C, Masetti M, Zanello M, Romboli A,

Keywords: nomogram, pancreatic neuroendocrine tumor, recurrence,

#2790 Trends of Incidence and Prognosis of Gastric Neuroendocrine Neoplasms - A Study Based on SEER and Our Multicenter Research

Introduction: The incidence of gastric neuroendocrine neoplasms (GNENs) is increasing but we still lack effective tools for risk stratification so far.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Hu P, Bai J, Liu M, Tang Q, Chen T,

Keywords: gastric neuroendocrine neoplasms, incidence, nomogram, overall survival,

#2037 Stromal Immune Contexture Predicts Disease-Free Survival in Gastro-Entero-Pancreatic Neuroendocrine Neoplasms (GEP-NENs)

Introduction: Stromal Immune Contexture (SIC) helps predict prognosis in solid Tumors (T) but has been poorly investigated in gastro-entero-pancreatic neuroendocrine neoplasms (GEP-NENs). We tested whether GEP-NENs profiling for adaptive immunity-related SIC markers, as well as inflammatory (COX2),EMT [Beta-catenin (B-cat)] and oncogenic pathway signaling (pS6) markers,could improve Ki67 and/or MO-based prediction of OS and DFS.

Conference: 15th Annual ENETSConcerence (2018)

Presenting Author: Milione M

Authors: Milione M, Miceli R, Pellegrinelli A, Spaggiari P, Tagliabue G,

Keywords: Neuroendocrine, Ki-67, Morphology, Immune contexture, PDL1, Beta-Catenin,