Abstract library

414 results for "predictive value".
#3027 Impact of Small Cell (SC) versus (vs.) Non-Small Cell (nSC) Morphology on Outcomes of Patients (pts) with Extra-Pulmonary, Poorly Differentiated Neuroendocrine Carcinoma (EP-PD-NEC)
Introduction: The 2018 SEER data indicates EP-PD-NEC morphology (SC vs. nSC) may impact patient outcomes.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Medical treatment - others, not specified
Presenting Author: Melissa Frizziero
#2913 The Predictive Value of Neuroendocrine Transcript Analysis in Daily Practice: An Independent ‘Real-World’ Validation Study
Introduction: Assessment of disease status remains the fundamental basis in the management of gastro-entero-pancreatic neuro-endocrine tumors (GEPNETs). Circulating molecular information might be used as a liquid biopsy to predict its clinical course.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Biomarkers
Presenting Author: Mark van Treijen
#2939 Prognostic Evaluation for Gastroenteropancreatic NEC: AJCC or ENETS Staging Classification or Others?
Introduction: For poorly-differentiated gastroenteropancreatic neuroendocrine carcinoma (GEP-NEC), American Joint Committee on Cancer (AJCC) recommends to use a classification different from that for well-differentiated neuroendocrine tumor. However, this is not adopted by European Neuroendocrine Tumor Society (ENETS) staging classification.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Pathology - grading, staging
Presenting Author: Professor Jie Chen
Authors: Zhang Y, Chen L, Lin Z, Zhang T, ...
#2746 Immunohistochemical Biomarker Expression in Gastro-Entero-Pancreatic Neuroendocrine Tumors at ENETS Centre of Excellence, University Hospital Zurich, Switzerland
Introduction: Gastro-entero-pancreatic neuroendocrine tumors (GEP-NET) are a heterogeneous tumor entity with respect to biological behaviour and prognosis. This makes diagnosis and treatment a major challenge.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Biomarkers
Presenting Author: Dr.med. Alexander Siebenhüner
#2783 Use of Plasma Proteins to Predict Progressive Disease in Patients with Small Intestinal Neuroendocrine Tumours
Introduction: Prediction of progression in small intestinal neuroendocrine tumors (SI-NET).
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Biomarkers
Presenting Author: MD PhD Roger Belusa
#2874 Role of FOXM1 in Aggressive Pancreatic / Pulmonary Neuroendocrine Carcinomas and Anti-Tumor Effect of the FOXM1 Inhibitor Thiostrepton
Introduction: DNA-targeting agents are the main treatment of aggressive pulmonary and pancreatic neuroendocrine carcinomas (NEC). FOXM1 is a transcription factor controlling cell proliferation and DNA repair pathways, playing therefore an important role in tumor progression and chemoresistance.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Signaling pathways, receptors, biomarkers
Presenting Author: Dr Jerome Cros
#3001 Early Response Assessment for Prediction of Overall Survival after Peptide Receptor Radionuclide Therapy
Introduction: PRRT response assessment is performed using RECIST, yet functional assessment using 68Ga-DOTATATE PET/CT and plasma CgA might give additional information about prediction of overall survival (OS).
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Nuclear Medicine - Imaging and Therapy (PRRT)
Presenting Author: Daphne Huizing
#9 Case Management of Metastatic carcinoid of the Foregut,Midgut and Hindgut:the relevance of Ki-67 prognostication
Introduction: The predictive value of tumor grade in the prognosis of carcinoid is insufficient and somehow misleading. The grade and differentiation in carcinoid tumors must be seen in conjunction with the Ki-67 index. The Ki-67 protein is a cellular marker for proliferation, present during all active phases of the cell cycle (G1, S, G2 and mitosis) and absent from resting cells (G0). It is therefore an excellent marker to determine the growth fraction of a given cell population. The Ki-67 labelling index is often correlated with the clinical course of carcinoid.
Conference: 7th Annual ENETS Conference (2010)
Category: Basic
Presenting Author: Dr Marianne J Kohler
Authors: Szpak W M, Stapleton G, ...
#12 Chromogranin A as a predictor of progression, regression or stable disease in ileo-cecal (midgut) carcinoid tumors
Introduction: A general characteristic for NETs is their expression of certain proteins, such as chromogranin A (CgA), which is released from the dense core vesicles of NE cells, occasionally together with cell specific hormones, such as gastrin and serotonin. Plasma CgA seems to be closely related to tumor burden of intestinal carcinoid tumors in humans.
Conference: 7th Annual ENETS Conference (2010)
Category: Clinical
Presenting Author: Kenneth Jensen
#20 Paraneoplastic antigen Ma2 (PNMA2) auto-antibodies as biomarkers for early small intestine neuroendocrine tumors detection
Introduction: Small intestine neuroendocrine tumors (NETs) comprise well-differentiated NET (benign carcinoid), well-differentiated neuroendocrine carcinoma (malignant carcinoid) and poorly differentiated neuroendocrine carcinoma (NEC). The majority of NET patients have developed liver metastases at the time of diagnosis and surgery is then seldom curative. Novel predictive, diagnostic and prognostic markers are thus needed to improve our capabilities to diagnose and cure these tumors. We have previously identified six novel marker genes for neuroendocrine tumor cells by using Affymetrix microarrays and advanced bioinformatics. One of this markers, the paraneoplastic antigen Ma2 (PNMA2), which is normally expressed only in nervous tissue, can in the process of carcinogenesis be detected in tumors located outside the nervous system. The finding that Ma2 is expressed in small intestine neuroendocrine primary tumors and their metastases made it interesting to screen whether antibodies against Ma2 are present in the serum of NET patients.
Conference: 7th Annual ENETS Conference (2010)
Category: Basic
Presenting Author: PhD Valeria Giandomenico
Authors: Cui T, Elgue G, Li S C, Hurtig M, ...