Abstract Library

#4668 Predictive factors of postoperative recurrence in patients with neuroendocrine tumour of the lung: Prospective analysis of clinicopathologic features and radiomics

Introduction: In localised and locally advanced forms neuroendocrine tumours (NETs) of the lung radical surgical resection represents the standard of care, several clinicopathologic factors are potentially associated with recurrence of disease.

Conference:

Presenting Author: Paravani P

Authors: Paravani P, Russo F, Mazzilli R, Zamponi V, Mancini C,

Keywords: radiomics, predictive role, rfs, lung, lung net,

#4650 Whole exome sequencing in pulmonary neuroendocrine neoplasms: Findings from a pilot investigation

Introduction: The molecular landscape of lung neuroendocrine tumours (NETs) is still poorly characterised. Lung NETs main prognostic factors currently include stage, histotype, grade, location, and demographic parameters, but molecular biomarkers are still not available, limiting the possibility for personalised therapeutic strategies.

Conference:

Presenting Author:

Authors: Martiradonna M, Pecora G, Mancini C, de Vitis C, Telese S,

Keywords: carcinoid, PBMC, NGS, Whole exome sequencing, WES, FFPE, Lung NET, molecular landscape,

#4644 First results of peptide-receptor radionuclide therapy in the Russian population of patients with neuroendocrine neoplasms

Introduction: Peptide-receptor radionuclide therapy (PRRT) has demonstrated its efficacy and safety in a number of clinical trials and has become widely used in the treatment of patients with neuroendocrine neoplasms (NEN) expressing somatostatin receptors.

Conference:

Presenting Author: Baranova O

Authors: Baranova O, Geliashvili T, Markovich A, Zhulikov Y, Evdokimova E,

Keywords: NET, PRRT, 177Lu-DOTATATE,

#4609 External validation of Rachel score: A prognostic tool for lung neuroendocrine tumours

Introduction: Lung NETs are a heterogeneous group of tumours with variegated clinical presentation and course. The histological subtype (TC vs AC) and TNM stage are established prognostic factors. In a previous work by our group, we developed a prognostic model named Rachel score, with a satisfactory ability to predict OS and PFS in this population.

Conference:

Presenting Author: La Salvia A

Authors: La Salvia A, Marcozzi B, Lamberti G, Manai C, Mazzilli R,

Keywords: lung neuroendocrine tumour, prognostic tool, Rachel score, external cohort, validation,

#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,