Abstract Library

#4583 Improved assessment of gene rearrangements by targeting non-coding DNA regions in patients diagnosed with pancreatic neuroendocrine neoplasms

Introduction: Whole-genome sequencing projects documented the heterogeneity of pancreatic neuroendocrine neoplasms (PanNEN), while showing that few core pathways are consistently affected in their tumorigenesis. Comprehensive genomic profiling (CGP) of real-world cases is expected to recapitulate such heterogeneity for patient stratification and to inform precision therapy. While coding DNA is the focus of current CGP panels, the potential of targeting non-coding DNA (ncDNA) to improve structural variants detection has not been widely explored in this context.

Conference:

Presenting Author: Agnoletto C

Authors: Agnoletto C, Trevisani E, Borghesani M, Landoni L, Luchini C,

Keywords: neuroendocrine, non-coding DNAs, structural variants, clinical relevance, CGP panel,

#4545 Analysis of the mutational landscape of pancreatic neuroendocrine tumours before and after temozolomide treatment

Introduction: Temozolomide (TMZ) is an alkylating agent and standard treatment for pancreatic neuroendocrine tumours (pNET). Resistance to TMZ may be acquired through inactivation of the mismatch repair system, leading to high tumour mutation burden (hTMB).

Conference:

Presenting Author: Trevisani E

Authors: Trevisani E, Borghesani M, Reni A, Agnoletto C, Luchini C,

Keywords: neuroendocrine, next generation sequencing, temozolomide, hypermutation, tumour mutational burden,

#3895 NGS in G1-G2 pancreatic NETs – Data collection at University Hospital of Verona

Introduction: Pancreatic neuroendocrine tumors (pNETs) are known to have few druggable gene alterations. One possible area of interest concerns the possibility of giving better biological connotations to the >10% subgroup.

Conference:

Presenting Author: Borghesani M

Authors: Borghesani M, Mafficini A, Luchini C, Scarpa A, Milella M,

Keywords: NGS, neuroendocrine, pancreatic,

#3183 Clinical stratification of pancreatic neuroendocrine tumors by systematically integrating multimodal and clinical data

Introduction: Non-functional pancreatic neuroendocrine tumors (PanNETs) are heterogeneous with at least two transcriptome subtypes with differential biology, immune mechanisms and prognosis. However, it is challenging to understand how multimodal data interact with clinical variables and contribute to the disease heterogeneity and phenotypes.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author: Sadanandam A

Authors: Sadanandam A, Lawlor R, Mafficini A, Luchini C, Nyamundanda G,

Keywords: pancreatic neuroendocrine tumor, multimodal data integration, multiomics, clinical data integration, machine learning, artificial intelligence, subtypes, pancreatic cancer, phenotypes, PhenMap, mutations, gene expression, microRNA,

#3027 Impact of Small Cell (SC) versus (vs.) Non-Small Cell (nSC) Morphology on Outcomes of Patients (pts) with Extra-Pulmonary, Poorly Differentiated Neuroendocrine Carcinoma (EP-PD-NEC)

Introduction: The 2018 SEER data indicates EP-PD-NEC morphology (SC vs. nSC) may impact patient outcomes.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Zaninotto E

Authors: Zaninotto E, Frizziero M, Durand A, Taboada R, Luchini C,

Keywords: small cell neuroendocrine carcinoma, non small cell neuroendocrine carcinoma, predictive value,