Abstract Library

#4134 Assessment of the current and emerging criteria for the histopathological classification of lung neuroendocrine tumors in the lungNENomics project

Introduction: The lungNENomics project analysed 300 lung neuroendocrine tumors (NETs), of which 259 cases were pathologically reviewed by six expert pathologists.

Conference:

Presenting Author: Mathian E

Authors: Mathian E, Drouet Y, Sexton-Oates A, Papotti M, Pelosi G,

Keywords: Lung neuroendocrine neoplasm, Pathology, Deep-learning, Ki-67, PHH3,

#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,

#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,