Abstract library

316 results for "Novel Molecular Subtypes".
#2745 Integrative Genomic Characterization Identifies Molecular Subtypes of Lung Carcinoids
Introduction: Lung carcinoids (LCs) are rare and slow growing primary lung neuroendocrine tumors. The WHO classify LCs into atypical and typical carcinoids. Recent studies have shown that the reproducibility of LCs classification and its prognostic efficacy have high interobserver variability
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Dr Saurabh V Laddha
#2963 Intrinsic Gene Programs in Metastasis-like Primary Subtype Is Associated with Early Metastatic Evolution in Pancreatic Neuroendocrine Tumours
Introduction: Three molecular subtypes of pancreatic neuroendocrine tumours (PanNETs) have been described: insulinoma-like, intermediate and metastasis-like primary (MLP). The Latter is a non-functional tumours with highly metastatic potential. A mouse model of PanNET showed that MLP subtype has two different pathways of progression including stem/progenitor and epithelial-to-mesenchymal transition. However, the evolution of metastasis in patients requires further studies.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Dr Anguraj Sadanandam
#2965 Molecular Signature of Rectal Neuroendocrine Neoplasia
Introduction: Rectal neuroendocrine tumors are rare neuroendocrine neoplasias (NEN). Little is known about prevalence and type of somatostatin receptor subtypes (sstr) expression and somatic mutations in relation to long-term clinical outcome.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Dr. Nicole Unger
Authors: Unger N, Theurer S, Herold T, Weber F, ...
#2974 MEK/RAF and PARP as Novel Targets in Neuroendocrine Neoplasms – First Results from a Molecular in vitro Tumor Board
Introduction: Neuroendocrine neoplasms (NEN) are a heterogeneous group comprising well differentiated neuroendocrine tumors (NET) and poorly differentiated neuroendocrine carcinomas (NEC). Although, major progress has been made in the development of targeted therapies in various cancers, establishment of a promising personalized therapy in NEN is still pending. So far, a lack of suitable preclinical models represent a major challenge concerning the validation of a mutational based targeted therapy (MBTT)
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - In vitro models, tumor growth, CTCs
Presenting Author: Fabrice Viol
Authors: Viol F, Sipos B, Amin T, Fahl M, ...
#26 Molecular imaging of gastroenteropancreatic neuroendocrine tumours with Ga-68 DOTANOC PET/CT and correlation with an immunhistochemical quantification of somatostatin receptors using novel monoclonal and polyclonal antibodies
Introduction: Receptor PET/CT with somatostatin analogues marked with Gallium-68 (SMS-R-PET/CT) is currently the golden standard in diagnosing gastroenteropancreatic neuroendocrine tumors (GEP-NET), which are known for an overexpression of somatostatin receptors (SSTRs).
Conference: 7th Annual ENETS Conference (2010)
Category: Clinical
Presenting Author: Dr Daniel Kaemmerer
#2215 Development of Multiplex Biomarker Assay to Subtype Pancreatic Neuroendocrine Tumors (PanNETs) with Distinct Prognosis and Mutations
Introduction: Overall 5-year survival for PanNETs ranges from 25-100%. The treatment paradigm for PanNETs largely based upon grades, which is significantly heterogeneous. We previously defined three molecular subtypes (distributed grades) of PanNETs using PanNETassigner signature. There is an unmet clinical need for prognostic and predictive biomarkers and clinically-relevant assays to complement grade and improve patient stratification.
Conference: 15th Annual ENETS conference 2018 (2018)
Category: Biomarkers
Presenting Author: Dr Anguraj Sadanandam
#3011 Added Prognostic Value of Molecular Imaging Biomarkers over Proliferation Index in Typical Lung Carcinoid: An FDG PET and SSTR Imaging Study
Introduction: Typical lung carcinoids(TCs)are rare tumors with good,although heterogeneous,prognosis.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Biomarkers
Presenting Author: MD Vittorio Briganti
#2682 PAK4-NAMPT Dual Inhibition as a Novel Strategy for Therapy Resistant Pancreatic Neuroendocrine Tumors
Introduction: Pancreatic neuroendocrine tumors (PNET) remain an unmet clinical need. In this study, we show that targeting both nicotinamide phosphoribosyltransferase (NAMPT) and p21-activated kinase 4 (PAK4) could become a synthetic lethal strategy for PNET.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Signaling pathways, receptors, biomarkers
Presenting Author: Ph.D. Candidate Gabriel Mpilla
Authors: Mpilla G, Aboukameel A, Muqbil I, Kim S, ...
#2964 Personalized Therapy in a Case of Esophageal NEC Based on Tumor Genome Sequencing
Introduction: High-grade esophageal neuroendocrine carcinomas (NEC) constitute a rare subgroup of neuroendocrine neoplasms, with a particularly aggressive behaviour and unfavourable prognosis. To date, there are no validated biomarkers for personalized therapy and cytotoxic chemotherapy remains the standard of care. However, tumor genome sequencing may help improve NEC molecular landscape knowledge in order to identify novel targets for an individualized approach.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Case reports
Presenting Author: MD Anna La Salvia
#2756 Theranostic Implication of Molecular Imaging Phenotype of Well-Differentiated Lung Carcinoid by 68Ga-DOTATATE PET/CT and 18F-FDG PET/CT
Introduction: Well-differentiated pulmonary neuroendocrine tumour, classified as typical carcinoid (TC) and atypical carcinoid (AC), is a heterogenous disease with variable clinical behaviour.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Nuclear Medicine - Imaging and Therapy (PRRT)
Presenting Author: Lamiaa Zidan
Authors: Zidan L, Iravani A, Kong G, Akhurst T, ...