Abstract Library

#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,

#3401 Characterising aggressive pulmonary carcinoids through integrative omics analysis

Introduction: Atypical carcinoids, and our recently identified supra-carcinoids (Alcala et al. 2019) belong to the pulmonary carcinoid (PCA) group of low grade lung neuroendocrine tumors. Little is known about the underlying biology of these tumors, nor why some patients are prone to metastatic disease and tumor recurrence. To date, molecular analysis of these tumors has been limited, particularly with regard to whole-genome sequencing (WGS).

Conference:

Presenting Author:

Authors: Sexton-Oates A, Di Genova A, Alcala N, Mangiante L, Voegele C,

Keywords: pulmonary carcinoid, genome, transcriptome, epigenome, characterisation,

#3235 A molecular map of lung neuroendocrine neoplasms

Introduction: Lung neuroendocrine neoplasms (LNEN) are understudied cancers because of their rarity, and the sample sizes of the genomic studies are limited. Recently, we performed the first multi-omic characterization of atypical carcinoids, unveiling the existence of the supra-carcinoids and providing the missing pieces for a complete molecular characterization of LNEN.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author:

Authors: Mathian E, Gabriel A, Mangiante L, Voegele C, Cahais V,

Keywords: carcinoid, lung cancer, neuroendocrine neoplasm, rare cancers, omics, tumor map,

#3056 Multi-Omic Characterization and Evolution of Neuroendocrine Neoplasm Organoids

Introduction: Molecular characterizations of neuroendocrine neoplasm (NENs) have unveiled candidate alterations associated with aggressiveness and suggested that the molecular link between neuroendocrine tumors (NETs) and neuroendocrine carcinomas (NECs) might be subtler than initially thought. For example, we have recently unveiled a new entity of pulmonary carcinoids (supra-carcinoids) with carcinoid-like morphology yet the molecular and clinical features of large cell neuroendocrine carcinoma (LCNEC). Testing hypotheses to explain aggressiveness and the possibility of progression or transition from NET to NEC through the accumulation of genetic anomalies requires in vitro and in vivo experimental models.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Foll M

Authors: Alcala N, Dayton T, Mangiante L, Delhomme T, Tabone-Egling S,

Keywords: organoids, omics, evolution, lung, pancreas, bioinformatics,

#2992 The PanNENomics Project: A Call for an International Collaborative Effort Built on the Success of the LungNENomics Project

Introduction: Neuroendocrine tumors are rare understudied diseases at the molecular level, especially those occurring in sites outside the lung and the gastrointestinal track. This lack of knowledge has strong implications for the clinical management of these diseases (Rindi et al. Mad Pathol 2018).

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Fernandez-Cuesta L

Authors: Fernandez-Cuesta L, Foll M, Walter T, Girard N, Lantuejoul S,

Keywords: Rare Cancers genomics, lungNENomics, panNENomics, supra-carcinoids, tumor maps,