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,

#3835 Druggable growth dependencies and tumor evolution analysis in patient-derived organoids of neuroendocrine cancer

Introduction: 28% of low-grade neuroendocrine tumors (NETs) present at advanced stages and are unresponsive to therapy, pointing to a gap in our understanding of how these tumors arise and progress.

Conference:

Presenting Author: Dayton T

Authors: Dayton T, Alcala N, Moonen L, den Hartigh L, Mangiante L,

Keywords: Organoids, LCNEC, NET, pulmonary carcinoid, EGF,

#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,

#3559 Novel patient-derived tumor organoid models reveal growth-factor dependencies in neuroendocrine tumors and serve as a platform for neuroendocrine cancer research

Introduction: Neuroendocrine neoplasms (NENs) comprise neuroendocrine tumors (NETs) and neuroendocrine carcinomas (NECs). While NETs are well-differentiated and progress slowly, NECs are poorly differentiated and have a poor prognosis. Irrespective of subtype, treatment options for patients with unresectable, relapsed, or metastasized NENs are limited, in part due to lack of accurate models to study these diseases.

Conference:

Presenting Author: Dayton T

Authors: Dayton T, Alcala N, Moonen L, van den Berg J, Buikhuisen W,

Keywords: patient derived tumor organoids, pulmonary NET, LCNEC, growth-factor dependency,

#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,