Abstract Library

#4666 Merkel cell neuroendocrine carcinoma of the skin: High response rates to short course palliative radiotherapy – Typical clinical scenarios

Introduction: Merkel cell carcinomas (MCC) are a rare, aggressive skin neuroendocrine carcinomas, with peak incidence in the elderly. MCC often presents as a firm, red/purple painless nodule with a short history of increasing size. Surgery is considered the 1st line treatment but elderly patients, in particular, have comorbidities which may preclude radical surgery requiring reconstruction. In advanced MCC, immunotherapy (IO) is 1st line systemic treatment. Chemotherapy is used 2nd line or if contraindications for IO but can be challenging in an elderly population. There may be an emerging role for PRRT due to the presence of somatostatin receptors on MCC. Radiotherapy (RT) can be used for non-surgical candidates, or those with unresectable or metastatic disease. Adjuvant post-operative irradiation (PORT) may provide additional benefit in risk reduction and improves local control.

Conference:

Presenting Author:

Authors: Saunders E, Sizer B, Collins J, Skelly R, Srinivasan G,

Keywords: Merkel cell, skin, radiotherapy,

#4597 FIT-NETs: Assessing the effects of an exercise programme on the physical and emotional well-being of patients with advanced G1-2 NETs of GEP or unknown origin

Introduction: Physical activity programs in solid tumours have shown to improve symptom control and even survival, but their impact on NENs remains unexplored. Advanced disease, systemic therapy, and hormonal secretion in these tumours often lead to muscle wasting and sarcopenia.

Conference:

Presenting Author: Anton-Pascual B

Authors: Anton-Pascual B, Rodriguez-Gomez J, de Cima A, Herrero-Llorente A, Modrego A,

Keywords: FIT-NET, physical exercise program, Quadriceps, MEP & MIP, QoL,

#4594 RNA splicing as a key regulatory player with translational potential in pulmonary neuroendocrine neoplasms (lungNETs)

Introduction: Neuroendocrine tumours (NETs) are a diverse group of neoplasms arising from neuroendocrine cells. Within this group, lung neuroendocrine tumours (LungNETs) represent one of the most frequent subtypes of NETs. LungNETs are classified by grade, according to their proliferative index and aggressiveness. Among them, typical carcinoids (G1) and atypical carcinoids (G2) are the lowest grade subtypes. While these tumours are less aggressive, they remain underexplored compared to higher-grade subtypes, highlighting the need for molecular studies to improve clinical approaches. In this context, previous studies have shown that abnormalities in the splicing machinery are frequent in tumour pathologies and also occur in LungNETs.

Conference:

Presenting Author:

Authors: Gutiérrez Camacho L, Ruiz-Palacios D, García Vioque V, González-Pérez C, Moreno Montilla M,

Keywords: splicing, neuroendocrine tumour, Lung NET, typical carcinoid, atypical carcinoid,

#4586 Base on neuroendocrine tumour classification in CT imaging using pretrained vision transformers and data augmentation

Introduction: Neuroendocrine tumours (NETs) are a group of cancers that can be difficult to distinguish from other malignancies in CT imaging. Their diverse appearance often leads to diagnostic challenges, requiring advanced techniques to improve classification accuracy. Pretrained Vision Transformers (ViTs) have shown promise in medical image analysis, but additional methods are needed to enhance model robustness, particularly when dealing with complex and heterogeneous tumour characteristics.

Conference:

Presenting Author:

Authors: Li H, Tang Z, Ding Z, Chen Y, Li H,

Keywords: Vision transformers, Cancer Detection, Transfer Learning, Medical Image Analysis,

#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,