Abstract library

659 results for "Grade 2 and 3".
#2875 Immunotherapy as Second-line Treatment in Grade 3 Neuroendocrine Carcinomas: A Prospective Case Series from an ENETS Center of Excellence
Introduction: Metastatic WHO grade 3 extra-pulmonary neuroendocrine carcinomas (EP-NEC) have a poor prognosis and optimal treatment after first-line platinum-etoposide chemotherapy remains unclear. A recent, small phase II study combining ipilimumab and nivolumab showed promising results
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Medical treatment - Targeted therapies
Presenting Author: Timon Vandamme
Keywords: NEC, immunotherapy
#2935 Prior Surgical Resection and Ga-68-DOTANOC PET/CT Imaging-Based Parameters: Do These Impact Outcomes in Grade II Gastroentero-Pancreatic Neuroendocrine Tumors (GEP-NETs)
Introduction: Grade 2 GEP-NETs have inherent tumor heterogeneity seen with positive expression of somatostatin (SSTR) and glucose (GLUT) receptors. Prior surgical resection and imaging parameters on Ga-68 DOTANOC PET/C are well-established variable impacting prognosis in well-differentiated grade 1 NETs. Since the degree of differentiation is variable in Grade 2 NETs, these parameters have not been studied.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Imaging and Interventions (radiology, endoscopy)
Presenting Author: Dr Ameya Puranik
#3053 The Splicing Machinery Is Dysregulated in Low Grade Pulmonary Neuroendocrine Tumors
Introduction: Alternative splicing dysregulation is increasingly regarded as a novel cancer hallmark influencing all key tumor features. We have shown that neuroendocrine tumors (NETs) overexpress aberrantly spliced variants of neuropeptides and receptors that increase tumor malignancy. More recently, we discovered that the splicing machinery is dysregulated in pituitary and pancreatic NETs. To date, the status of this machinery in low grade pulmonary NETs is largely unknown.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Ricardo Blázquez-Encinas
#3005 Comparison between Tang and WHO 5th Edition Grade Classification for Goblet Cell Adenocarcinomas
Introduction: Appendiceal GCAs (previously Goblet Cell Carcinoids) are composed of cells with secretory phenotypes. Several grading systems to predict behaviour are available (e.g.Tang). The latest WHO 5th edition adopted a grading system similar to colon adenocarcinomas.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Pathology - grading, staging
Presenting Author: MD, PhD Jorge Barriuso
#3000 Patients with Somatostatin Receptor Type 2-Negative Neuroendocrine Tumors Have Sustained Inferior Survival Rates in a Propensity Score-Matched Analysis
Introduction: Sufficient expression of somatostatin receptor type 2 (SST2) in neuroendocrine tumors (NETs) is crucial for treatment with unlabelled somatostatin analogues (SSAs), or peptide receptor radionuclide therapy (PRRT) using radio-labelled SSAs. Impaired prognosis has been described for SST2-negative NET patients, however studies comparing matched SST2-positive and -negative subjects are missing.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Epidemiology/Natural history/Prognosis - Registries, nationwide and regional surveys
Presenting Author: Dr Julie Refardt
#2865 Can the Efficacy of Etoposide-Platinum Chemotherapy Be Predicted by p53/pRb Status in Grade 3 Neuroendocrine Neoplasms (G3 NEN)?
Introduction: Etoposide-platinum (EP) chemotherapy has long stood as the reference treatment of grade 3 neuroendocrine neoplasms (G3 NEN). However, G3 NEN are heterogeneous, including well differentiated tumours (NET) and poorly differentiated carcinomas of large (LCNEC) or small (SCNEC) cell type, whose identification can be challenging and response to EP be very variable, usually low in NET.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Medical treatment - Chemotherapy Somatostatin analogues, Interferon
Presenting Author: Dr Louis de Mestier
Authors: Lacombe C, De Rycke O, Chen R, Colnot N, ...
#2896 Comparative Genomic Analysis of High Grade Neuroendocrine Neoplasms across Diverse Organs
Introduction: Grade 3 neuroendocrine neoplasms (G3 NENs), if poorly differentiated, have a median survival of 10-19 months. Little is known regarding biologic differences between G3 NENs from different primary sites, most commonly GI and lung.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Thomas Yang Sun
#2904 Prognosis and Management of Advanced Digestive Well-Differentiated Grade 3 Neuroendocrine Tumors (G3 NETs): A NET-CONNECT Study Performed in Four Expert Centers
Introduction: G3 NETs are rare tumors with poorly defined prognosis and management.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Medical treatment - Chemotherapy Somatostatin analogues, Interferon
Presenting Author: Dr Louis de Mestier
#2796 Avelumab for Advanced Merkel Cell Carcinoma in the Netherlands; A Nationwide Survey
Introduction: Merkel cell carcinoma (MCC) is a rare, tumor of the skin associated with high recurrence rates and poor survival. Clinical trials have shown activity of checkpoint inhibitors targeting programmed death-(ligand)-1 (PD-(L)1). Avelumab is the only PD-L1 inhibitor that has been approved in the Netherlands for advanced/metastatic MCC (mMCC).
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Medical treatment - others, not specified
Presenting Author: MD Sonja Levy
#2951 Analysis of Discordance between Biopsy Grade and Surgical Pathology Grade in Resected PanNEN Patients
Introduction: In PanNEN cases, treatment strategies are decided by tumor localization, volume and grade. In unresectable or metastatic cases, tumor grade is determined by biopsy specimen obtained from EUS-FNA and diagnostic accuracy of biopsy according to WHO classification 2017 is important for decision making of treatment.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Pathology - grading, staging
Presenting Author: Kenzo Nakano
Authors: Nakano K, Masui T, Yogo A, Uchida Y, ...