Abstract library

18 results for "machine learning".
#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
#2846 Whole Genome DNA Methylation Profiling Identifies Neuroendocrine Tumor Origin
Introduction: Determining the origin of a neuroendocrine tumor (NET) of unknown primary can be challenging. Liver metastases can originate from any organ in the body, while pulmonary NETs can be metastases but also primary tumors. This especially holds true for Multiple Endocrine Neoplasia Type 1 patients, who often have multiple primary pancreatic and intestinal NETs. It is important to know the origin of the primary tumor since resection or ablation is crucial in case of treatment with curative intent. Furthermore, the site of origin determines prognosis, treatment options and eligibility for clinical trials.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Wenzel M Hackeng
#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
#2992 The PanNENomics Project: A Call for an International Collaborative Effort Built on the Success of the LungNENomics Project
Introduction: Neuroendocrine tumors are rare understudied diseases at the molecular level, especially those occurring in sites outside the lung and the gastrointestinal track. This lack of knowledge has strong implications for the clinical management of these diseases (Rindi et al. Mad Pathol 2018).
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: PhD Lynnette Fernandez-Cuesta
#2995 Prediction of Symptomatic Mesenteric Mass in Patients with Small Intestinal Neuroendocrine Tumors Using a CT Radiomics Approach
Introduction: A mesenteric mass surrounded by fibrosis is a hallmark feature of small intestinal neuroendocrine tumors (SI-NETs) that can induce severe abdominal complications. To improve clinical outcome, there is a need for personalized treatment strategies based on accurate prediction of development of abdominal complications.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Imaging and Interventions (radiology, endoscopy)
Presenting Author: Drs. Anela Blazevic
#1463 Graph-Theoretic Definition of Neuroendocrine Disease – A Tumor Specific Mathematical Toolbox for Assessing Neoplastic Behaviour
Introduction: Widespread availability of high throughput screens has led to the rapid adaptation of mathematics in biomedicine.
Conference: 13th Annual ENETS conference 2016 (2016)
Category: Biomarkers
Presenting Author: Professor Mark Kidd
Authors: Drozdov I, Kidd M, Modlin I, ...
#1694 Plasma Protein Fingerprinting for the Diagnosis of Small Intestinal Neuroendocrine Tumors (siNETs)
Introduction: siNETs are notoriously difficult to diagnose, especially in an early stage.
Conference: 14th Annual ENETS conference 2017 (2017)
Category: Biomarkers
Presenting Author: MD PhD Magnus Kjellman
#2705 Increased Autophagy/Mitophagy Levels in Pancreatic Neuroendocrine Neoplasms
Introduction: Autophagy and mitophagy are key homeostatic machineries linked to cancer development and drug resistance.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Signaling pathways, receptors, biomarkers
Presenting Author: MD, PhD Kosmas Daskalakis
#2825 Interest of PET-MRI in the Management of GIT NETs
Introduction: Assessment of GIT NET requires different imaging exams including CT, MRI, Scintigraphy. The hybrid PET-CT machine impacted the management of TNEs. The whole body PET-MRI version is available but poorly evaluated.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Imaging and Interventions (radiology, endoscopy)
Presenting Author: Prof. Iradj Sobhani
Keywords: PET, MRI, GIT-NET
#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
Authors: Savagner F, Le Pennec S, ...