Abstract library

625 results for "prognostic factor".
#2784 Predictive Factors of Tumor Recurrence after Radical Surgery for Gastro-Entero-Pancreatic Neuroendocrine Neoplasms (GEP-NENs): Identification of High-Risk Subgroups
Introduction: There is no proven role for adjuvant medical therapy after curative surgery (R0) for GEP-NENs.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Epidemiology/Natural history/Prognosis - Registries, nationwide and regional surveys
Presenting Author: Dr Roberta Elisa Rossi
#3032 Lung Side and Site: The Importance of Location and the Prognostic Implication in Lung Neuroendocrine Tumors
Introduction: Lung neuroendocrine tumors (NET) are classified as typical (TC) and atypical carcinoids (AT), according to their mitotic count and the presence of necrosis. However, a role for tumor side (right vs left) and location (central vs peripheric) has not been established so far.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Non digestive NETs (bronchial, thymic, others) - diagnosis and therapy
Presenting Author: MD Anna La Salvia
#3073 The Role of Rb as a Prognostic Factor in Grade 3 Poorly Differentiated Neuroendocrine Carcinoma (G3NEC) Treated by First Line Platinum-Etoposide Combination, a Retrospective Study
Introduction: G3NEC are heterogeneous and aggressive diseases which can arise in different organs. Platinum-etoposide combination is used as first line treatment whatever the primary. Rb has been suggested to be a predictive/prognostic factor.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Biomarkers
Presenting Author: Dr Julien Hadoux
#2902 DNA Methylation Analysis of the PDX1 Gene Can Be Used for PNET Subtyping and Has a Possible Prognostic Value
Introduction: Estimating prognosis of pancreatic neuroendocrine tumor (PNET) patients remains challenging. Mutation status of DAXX/ATRX/MEN1, histone modification patterns and immunohistochemistry for relevant transcription factors, including PDX1, were recently used to perform subtyping and distinguished two main types, A and B. These subtypes are linked to cell-of-origin and associated with clinical outcome.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Gitta Boons
#3016 DLL3 Is Expressed in GEP-Neuroendocrine Neoplasms with Loss of RB1 and Has Prognostic Significance
Introduction: The negative notch regulator DLL3 has gained increasing attention in tumors with neuroendocrine features, in particular SCLC, LCNEC and neuroendocrine prostate cancer, both as prognostic marker and candidate therapeutic target. No data are available on the expression of DLL3 in gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs).
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Signaling pathways, receptors, biomarkers
Presenting Author: PhD Chiara Liverani
#3055 Dynamics of Changes in Chromogranin A Concentration as a Prognostic Factor Radiopeptide Therapy in Neuroendocrine Tumours
Introduction: Chromogranin A (CgA) is a non-specific marker of neuroendocrine tumors (NET) and its significantly increased level is an unfavorable prognostic factor while the decrease in CgA during biotherapy with somatostatin analogs (SSA) correlates with the increase in profession free survival (PFS).
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Biomarkers
Presenting Author: Dr Daria Handkiewicz-Junak
Keywords: CgA, PRRT, prognosis
#2683 Clinicopathological Features and Prognostic Analysis of 227 Cases with Well-Differentiated Gastric Neuroendocrine Tumors
Introduction: Gastric neuroendocrine neoplasms (g-NENs) are a group of rare tumors with a strong heterogeneity, subdivided as well-differentiated neuroendocrine tumors (NETs, type 1-3 g-NETs) and poorly-differentiated neuroendocrine carcinoma(NECs). WHO classification(2019) for digestive system tumours has carried out a new classification and grading criteria for NENs of the gastrointestinal tract recently, there is very few relevant clinical data based on this new classification, especially for gastric NETs(g-NETs).
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Epidemiology/Natural history/Prognosis - Registries, nationwide and regional surveys
Presenting Author: Yuanliang Li
Authors: Li Y, Tan H, Jie C, Jie L, ...
#3026 IMP3 and Ki-67-Factors of Poor Clinical Outcome in Neuroendocrine Tumors of the Lung
Introduction: Insulin- like growth factor-II messenger RNA- binding protein- 3 (IMP3) is often detected in malignant neoplasm of different sites. Ki-67 proliferative index, although helpful in diagnosing neuroendocrine tumours of lung, has not been recognised as prognostic factor.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Signaling pathways, receptors, biomarkers
Presenting Author: Aleksandra Bełz
#2867 Experience of Treatment with Everolimus in Patients with Well-Differentiated Neuroendocrine Tumors (NET) of Various Localizations at the NN Blokhin NMRCO, Moscow, Russia
Introduction: Everolimus (EVE) (mTOR inhibitor) is an effective drug in the treatment of well-differentiated NETs of different localizations, however, prognostic factors for the correct choice of therapy are not well understood.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Medical treatment - Targeted therapies
Presenting Author: Anna Kuznetsova
#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