Abstract Library

#4667 Clinical outcomes in patients with typical (TC) and atypical bronchial carcinoids (AC): A 15-year retrospective study from an ENETS Center of Excellence

Introduction: Bronchial neuroendocrine neoplasms (NENs) can be subdivided into TCs, ACs and neuroendocrine carcinomas (NECs). Although a few studies have explored treatment approaches and oncological outcomes, most focus on surgical cohorts, small sample sizes, or mixed groups including TC, AC, and NECs. Real-life cohort data are lacking.

Conference:

Presenting Author: Clement D

Authors: Correia J, Sarker D, Dolly S, Frydman A, Srirajaskanthan R,

Keywords: bronchial carcinoid, treatment pattern, recurrence-free survival, overall survival,

#4602 The role of microbiome diversity in neuroendocrine tumour (NET) development and progression: Insights from a cohort study

Introduction: The gut microbiome may influence neuroendocrine tumour (NET) development, particularly gastrointestinal NETs, yet data on this connection within Pakistan are limited. This study explores microbiome diversity’s role in NET progression.

Conference:

Presenting Author: Fatima A

Authors: Fatima A,

Keywords: Bacterial imbalance, Prognostic biomarker,

#4588 Spatial transcriptomics identifies Wnt signalling in multifocal ileal neuroendocrine tumours

Introduction: Ileal neuroendocrine tumours (i-NETs) often present with multiple primary tumours (>30-40%). Recent studies showed no shared somatic mutations in multiple primary tumours, highlighting the need to examine the tumour microenvironment in tumorigenesis. The Wnt signalling pathway is crucial for organ stem cell regulation. While the Wnt/β-catenin pathway influences prostate and pancreatic NET/Cs, its role in i-NETs remains unclear.

Conference:

Presenting Author:

Authors: Yogo A, Akanuma N, Kim G, Thirlwell C, Mäkinen N,

Keywords: Wnt Signalling, Spatial Transcriptomics,

#4580 Improving diagnosis of neuroendocrine tumours using large language models

Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of cancers that can be difficult to diagnose due to their variable clinical presentation and non-specific symptoms. Accurate diagnosis often requires integrating a wide range of clinical, radiological, and pathological information. Large language models (LLMs) have shown promise in processing and understanding complex medical text, making them a valuable tool for improving diagnostic accuracy in oncology.

Conference:

Presenting Author:

Authors: Tang Z, Chen P, Tang J, Li H, Chen Y,

Keywords: Neuroendocrine Tumour (NET), Large Language Model (LLM), Medical Natural Language Processing (NLP), Clinical Decision Support,

#4573 Digestive neuroendocrine tumours: Patterns, pathways, and progress in personalised management

Introduction: Digestive neuroendocrine tumours (NETs), though rare, are increasingly diagnosed with their incidence rising. Histopathological examination is crucial for diagnosis and grading, based on cell differentiation and proliferation index. Often diagnosed late due to non-specific symptoms, these tumours may present with hormone hypersecretion. Updated classifications now allow better risk stratification and tailored treatments. Advances in imaging, particularly PETscans with somatostatin analogues have improved NET diagnosis and monitoring.

Conference:

Presenting Author: Bensetti Houari A

Authors: Bensetti Houari A, Remouche H, Belkharoubi K,

Keywords: Digestive neuroendocrine tumour, octreoscan, multidisciplinary approach,