Abstract Library

Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.

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Participants of the 2025 ENETS Conference enjoy full access to the 2025 conference digital resources through myENETS: the abstract booklet, e-posters and videos, slide decks of talks, the poster carousel, and more.

ENETS Abstract Search

#4601 Pembrolizumab combined with cisplatin or carboplatin and etoposide in treatment naïve advanced Merkel cell carcinoma (MCC): The phase II PANDORA Trial

Introduction: MCC is a rare and aggressive skin neuroendocrine tumour with high metastatic potential and mortality. Therapeutic options in metastatic/unresectable MCC are based on immunotherapy or platinum-based chemotherapy. However, a subgroup of patients (pts) has primary immunoresistance disease, so it would be important discover active upfront combinations. PANDORA trial [NCT 06086288] is an open-label, multicentre, single-arm phase II trial evaluating the activity and safety of pembrolizumab (PEM) combined with platinum-based chemotherapy as 1st line treatment in pts with metastatic, unresectable or recurrence MCC. Supported in part by a research grant from Investigator-Initiated Studies Program of MSD.

Conference:

Presenting Author: Oldani S

Authors: Oldani S, Morano F, Cingarlini S, Di Giacomo A, Borghesani M,

Keywords: Pembrolizumab, clinical trial, Merkel cell carcinoma, chemio-immunotherapy,

#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,

#4492 Utility of NETest 2.0 as a biomarker for neuroendocrine tumours: The Swiss experience – Real-world data

Introduction: The NETest 2.0 is a PCR assay of circulating mRNA, scored 0-100. It has been developed as a biomarker to diagnose neuroendocrine neoplasia (NEN) and to provide tumour prognostic information.

Conference:

Presenting Author: Chirindel A

Authors: Chirindel A, Wild D, Voegeli M, de Dosso S, Siebenhüner A,

Keywords: NETest, tumour biomarker, NEN, disease presence, disease progression,

#4409 The value of NETest 2.0 in stratifying patients with suspected NEN for formal diagnostic evaluation – Real-world data

Introduction: An unmet need in NEN diagnosis is better risk stratification for individuals with suspected disease (based on symptoms or imaging), enabling efficient identification of those needing further evaluation and tissue diagnosis, thus speeding the process and reducing costs. NETest 2.0, a biomarker based on a 51-gene mRNA panel, was developed for diagnosing neuroendocrine neoplasia (NEN).

Conference:

Presenting Author: Chirindel A

Authors: Chirindel A, Wild D, Voegeli M, de Dosso S, Siebenhüner A,

Keywords: NETest, tumour biomarker, at-risk population, NEN,