Abstract library

676 results for "cell models".
#2980 Metabolic Dysregulation and Circadian Clock in Cellular Models of Neuroendocrine Tumors
Introduction: The circadian clock genes encode transcription factors whose interaction with nuclear receptors allows the regulation of cellular metabolism.The invalidation of the genes of the clock core is associated with the development of many endocrine diseases including neuroendocrine cancer. Recently, the family of transcriptional coactivators PGC-1a has been identified as a key element in the integration of cellular metabolic state with the circadian clock. PRC, as a member of the PGC-1 family, was able to interact with several transcription factors, including the CLOCK factor. The specific induction of this PRC factor by the cell cycle, to modulate the energy function, the MAPkinase pathway and the expression of microRNAs, makes it a key factor in the metabolic adaptation of cancer cells.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Signaling pathways, receptors, biomarkers
Presenting Author: Pr Frederique Savagner
#3049 Organoid Models of Neuroendocrine Cell Growth and Tumorigenesis
Introduction: A paucity of in vitro and in vivo models has limited the study of Neuroendocrine neoplasms (NENs). Moreover, little is known about normal neuroendocrine (NE) cells and how they contribute to NEN formation.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - In vitro models, tumor growth, CTCs
Presenting Author: PhD Talya Dayton
#3004 Development of Anti-SSTR CAR T Cells for Future Treatment of NETs
Introduction: NETs overexpress somatostatin receptors (SSTRs).
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - In vitro models, tumor growth, CTCs
Presenting Author: Dr. Mauro Cives
#2898 Novel Preclinical Models of Small Bowel Neuroendocrine Tumors for Drug Screening
Introduction: The incidence of neuroendocrine tumors (NETs) from the small bowel (SBNETs) has increased markedly over the past several decades. Many patients with these tumors present with metastatic disease, and research into new treatment options for these tumors have been hindered by the limited number of patient-derived SBNET cell lines and in vivo models available for drug testing.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - In vitro models, tumor growth, CTCs
Presenting Author: Assistant Profes Po Hien Ear
Authors: Ear P H, Tran C, Li G, Kaemmer C, ...
#2908 Re-Cellularised Human Pancreas 3D Scaffolds as a Novel Model for Biomarker Discovery in Pancreatic Neuroendocrine Tumours (pNETs)
Introduction: The lack of preclinical models of pNETs has challenged identification of tissue specific biomarkers of disease. Culturing cancer cells in their native tissue enables the close study of cell-ECM interaction and tissue remodelling. The biological products of such interactions can form a basis for discovery of novel biomarkers of the disease, and were previously linked with a range of inflammatory and malignant conditions.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - In vitro models, tumor growth, CTCs
Presenting Author: PhD student & CR Alexander Ney
#2692 Development of Ex-Vivo Models of Metastatic Neuroendocrine Neoplasms
Introduction: The lack of relevant in-vivo and in-vitro models has precluded investigations of the pathophysiology of metastatic NENs. Organotypic tumour slices retain the complexity of tumours in-vivo without extensive manipulation of the tissue.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - In vitro models, tumor growth, CTCs
Presenting Author: Dr Raj Srirajaskanthan
#2738 Patient-Derived Organoid Models of Human Neuroendocrine Carcinoma
Introduction: Gastroenteropancreatic neuroendocrine carcinoma (GEP-NEC) is a poorly understood disease with limited treatment options. Due to its low incidence and wide tissue distribution few representative preclinical models are available
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - In vitro models, tumor growth, CTCs
Presenting Author: MD PhD Margot Tesselaar
#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, ...
#2739 Epigenetic Landscape of Pancreatic Neuro-Endocrine Tumors Reveals Distinct Cells of Origin and Means of Tumor Progression
Introduction: Pancreatic Neuroendocrine Tumors (PanNETs) arise from cells of the Islets of Langerhans. The majority of PanNETs are non-functional and their cell of origin cannot be defined analysing specific hormone production. Cell of origin assessment has proven importance to identify risk factors, prevent tumour development, and tailor treatment in many malignancies. Recent data on super-enhancer signatures has suggested a potential origin of PanNET from α- or β-cells. We and others have shown that distinct epigenetic profiles assessed by DNA methylation (DNAme) characterize genomic and prognostic groups of PanNET.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Annunziata Di Domenico
#2685 Apatinib Inhibits Tumor Growth and Angiogenesis in PNET Models
Introduction: Angiogenesis has a pivotal role in the growth and metastasis of pancreatic neuroendocrine tumors (PNETs). Apatinib inhibits angiogenesis as a highly selective KDR inhibitor and has been used to treat advanced gastric cancer and malignancies in clinical settings. However, the efficacy of apatinib in PNETs remains unclear.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - In vitro models, tumor growth, CTCs
Presenting Author: Shan Wu
Authors: Wu S, Zhou J, Guo J, Hua Z, ...