Abstract Library

#4554 Base on deep learning-integrated multimodal diagnostic framework for enhanced early detection of neuroendocrine tumours

Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of malignant neoplasms originating from neuroendocrine cells, commonly found in the digestive system, lungs, pancreas, and other organs. Due to their diverse clinical presentations and overlap with common diseases, the early diagnosis of NETs is challenging, often leading to misdiagnosis or delayed diagnosis at advanced stages.

Conference:

Presenting Author:

Authors: Ding Z, Li H, Tang Z, Chen Y, Li H,

Keywords: Neuroendocrine Tumour, Early Disease Screening, Multimodal Medical Data Analysis,

#4528 Serum visfatin concentration in metastatic pancreatic and midgut NETs: An exploratory study

Introduction: Neuroendocrine tumours (NETs) are commonly diagnosed at advanced stages due to their diverse and often asymptomatic clinical presentation. Visfatin, an adipocytokine involved in regulating cellular energy homeostasis, inflammation, and tumorigenesis, has been investigated as a potential biomarker in several neoplasms. However, its role in NETs remains unexplored.

Conference:

Presenting Author:

Authors: Komarnicki P, Maciejewski A, Musiałkiewicz J, Mastorakos G, Gut P,

Keywords: visfatin, biomarker, nicotinamide phosphoribosyltransferase, NAMPT, PBEF, eNAMPT,

#4512 A deep learning-integrated multimodal diagnostic framework for enhanced early detection of neuroendocrine tumours

Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of malignant neoplasms originating from neuroendocrine cells, commonly found in the digestive system, lungs, pancreas, and other organs. Due to their diverse clinical presentations and overlap with common diseases, the early diagnosis of NETs is challenging, often leading to misdiagnosis or delayed diagnosis at advanced stages. While current imaging techniques and biomarkers are useful in certain cases, their diagnostic sensitivity and specificity remain limited when used in isolation.

Conference:

Presenting Author:

Authors: Ding Z, Li H, Tang Z, Chen Y, Li H,

Keywords: Neuroendocrine Tumour, Multimodal Diagnostic algorithm, Deep Learning, Early Disease Screening,

#4509 Epidemiological characteristics and prognosis analysis of gastric cancer (GC) with neuroendocrine differentiation (NED)

Introduction: GC with NED exhibits distinct biological characteristics, yet research on its clinical features and prognosis remains limited.

Conference:

Presenting Author: Zhang J

Authors: Huang Z, Li J, Wang C, Shen Y, Rao S,

Keywords: gastric cancer, neuroendocrine differentiation, Epidemiological characteristics, prognosis,

#4423 Exploring decorin in plasma-derived small extracellular vesicles (sEVs) as a potential diagnostic biomarker for pancreatic neuroendocrine tumours

Introduction: Pancreatic Neuroendocrine tumours (PanNETs), the most common site for GEP‑NENs in Asian countries, particularly India, have shown increasing incidence. Due to a lack of specific biomarkers, often detected at advanced stages. So, this study utilised PanNET tissue proteomics for cancer biomarker discovery and explored the impact of small extracellular cellular vesicles (sEVs) in PanNET growth and metastasis, as they reflect the molecular profile of their tissue of origin.

Conference:

Presenting Author:

Authors: Gorai P, As S, Naik M, Kumar S, Pal S,

Keywords: Decorin, small extracellular vesicles, Pancreatic Neuroendocrine Tumour, Proteomics, circulating biomarker,