Abstract Library

#4646 Dysregulated miRNA in patients with GEP-NEN and potential role as circulating biomarker

Introduction: Neuroendocrine neoplasms (NENs) are a class of rare and molecularly extremely heterogeneous tumours. NENs arise predominantly in the gastrointestinal (GEP) and pulmonary tracts but can also involve thyroid and breast. NENs often present with non-specific symptoms and lack early specific biomarkers, leading to frequent metastatic diagnoses and primary site challenges.

Conference:

Presenting Author:

Authors: Di Mauro A, Clemente O, Cannella L, Della Vittoria G, Neri G,

Keywords: neuroendocrine tumour, miRNome profiling, biomarker, gep-net, molecular biology,

#4103 The evolutionary history of metastatic pancreatic neuroendocrine tumors reveals a therapy driven route to high-grade transformation

Introduction: Tumor evolution with acquisition of more aggressive disease characteristics is a hallmark of disseminated cancer. Metastatic pancreatic neuroendocrine tumors (PanNETs) in particular, show frequent progression from a low/intermediate to a high-grade disease.

Conference:

Presenting Author: Crona J

Authors: Backman S, Botling J, Nord H, Ghosal S, Stålberg P,

Keywords: Pancreatic neuroendocrine tumor, Tumor evolution, Alkylating chemotherapy, Treatment resistance,

#3936 Dissecting the intra- and inter-tumor heterogeneity of adrenocortical carcinoma by single-cell multi-omics analyses

Introduction: Adrenocortical carcinoma (ACC) is a rare but aggressive malignancy originating in the adrenal cortex, characterized by significant intra- and inter-tumor heterogeneity.

Conference:

Presenting Author:

Authors: Liu S, Chong C,

Keywords: Adrenocortical carcinoma, immune therapy, tumor heterogeneity,

#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,

#3811 Multi-omic factor analysis (MOFA) of well-differentiated neuroendocrine tumors (NETs) from different tumor sites

Introduction: NENs are a heterogeneous family of tumors of wide anatomical distribution that share common clinical and biological traits. Although some studies have characterized the molecular landscape of specific primary locations, there is no cross-site molecular classification of NENs.

Conference:

Presenting Author: Carretero C

Authors: Carretero C, Antón-Pascual B, Lens-Pardo A, Benavent M, Gómez-Izquierdo L,

Keywords: NET, MOFA, multi-omics, clinical features, survival,