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,

#3568 Exploring the interplay between chromatin-remodeling genes and the regulation of alternative splicing and RNA biology in lung neuroendocrine neoplasms

Introduction: Lung neuroendocrine neoplasms (LungNENs) comprise a heterogeneous group of rare tumors, but with a rising incidence in the last decades. The mutational landscape of LungNENs has been recently described; in contrast, other key regulatory mechanisms, particularly posttranscriptional processes linked to RNA regulation, remain largely unexplored.

Conference:

Presenting Author: Agraz-Doblas A

Authors: Agraz-Doblas A, Blázquez-Encinas R, Victor G, Alcala N, Sexton-Oates A,

Keywords: Lung NEN, Bioinformatics, Chromatin-remodeling, RNA, biomarker, mutations,

#3509 Comparative biocomputational analysis of the splicing landscape across lung neuroendocrine neoplasms unveils a new actionable molecular layer

Introduction: Dysregulation of alternative splicing has emerged as a new, overarching hallmark of cancer, which may arise from mutations and/or altered expression of specific components of the splicing machinery. To date, no studies have been reported comparing the spliceosomic landscape, i.e. the status of the splicing machinery and alternative splicing patterns, among the different histological types of pulmonary neuroendocrine neoplasms (LungNENs), namely typical and atypical pulmonary carcinoids, Large Cell Neuroendocrine Carcinoma (LCNEC) and Small Cell Lung Cancer (SCLC).

Conference:

Presenting Author: Blázquez-Encinas R

Authors: Blázquez-Encinas R, García-Vioque V, Sexton-Oates A, Moreno-Montilla M, Alors-Pérez E,

Keywords: Neuroendocrine, NEN, Lung, Splicing,

#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,