Abstract Library

#4424 Tumour-derived apolipoprotein E induces tip endothelial cell to remodel tumour stroma ratio and promote pancreatic neuroendocrine tumour progression

Introduction: Current clinical trials have shown that single-targeted matrix administration does not improve patient prognosis. The investigation of targeted matrix administration in combination with other therapies is crucial for effectively managing TSR in pNETs.

Conference:

Presenting Author: Ji S

Authors: Lou X, Ji S, Xu X, Chen J, Yu X,

Keywords: APOE, pancreatic neuroendocrine tumour, endothelial cell, tumour stroma ratio, mTOR inhibitor,

#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,

#4084 Proteomic profiling reveals C1QA and COMP as promising plasma biomarkers for early detection of pancreatic neuroendocrine tumors

Introduction: PanNETs (pancreatic neuroendocrine tumors) have distinctive clinical features and may vary in aggressiveness. Current diagnostic methods, including biochemical tests and imaging techniques, lack the required sensitivity and specificity, with invasive and expensive procedures. The urgent need for specific, cost-effective biomarkers for early PanNET screening and diagnosis is emphasized, especially in developing countries.

Conference:

Presenting Author: Gorai P

Authors: Gorai P, Bharti P, Surabhi A, Kumar S, Rajacharya G,

Keywords: Pancreatic neuroendocrine tumor, Proteomics, Biomarker, Plasma,

#3935 Single-cell sequencing reveals the heterogeneity of pancreatic neuroendocrine tumors under the pattern of genomic instability and histological grading

Introduction: Non-functional pancreatic neuroendocrine tumor (NF-Pan-NET) is a kind of highly heterogeneous tumors. Histological grading is the key factors affecting the prognosis of patients and instructive in guiding treatment and assessing recurrence in NF-Pan-NET. 90% of NF-Pan-NET are grade G1 or G2, leading to an unpredictable clinical course that varies from indolent to highly malignant. Approximately one-third of patients without CNV alteration and the prognosis of these patients are better than that of patients with CNV alteration. Therefore, probing the heterogeneity of tumors based on histological grading and CNV variation is crucial.

Conference:

Presenting Author: Ye Z

Authors: Ye Z, Zhou C, Xu X, Chen J, Yu X,

Keywords: Pancreatic neuroendocrine tumor, single-cell sequencing, genomic instability, histological grading,

#3845 The lungNENomics project – A comprehensive multidisciplinary characterisation of pulmonary carcinoids

Introduction: Lung neuroendocrine tumors (LNETs) are subdivided into low-grade (typical) and intermediate-grade (atypical) carcinoids, at higher risk of developing metastases. We have previously identified 3 LNETs molecular groups with different prognoses, as well as “supra-carcinoids” with molecular profiles of higher-grade neuroendocrine carcinomas. Despite promising results, there is still no consensus on their differential diagnosis and treatment and little is known about how some tumors evolve toward more aggressive phenotypes.

Conference:

Presenting Author:

Authors: Foll M, Sexton-Oates A, Mathian E, Alcala N, Mangiante L,

Keywords: lung carcinoid, deep learning, genomic, evolution, multi-omics, spatial analyses,