Abstract:
:The worldwide incidence of pulmonary carcinoids is increasing, but little is known about their molecular characteristics. Through machine learning and multi-omics factor analysis, we compare and contrast the genomic profiles of 116 pulmonary carcinoids (including 35 atypical), 75 large-cell neuroendocrine carcinomas (LCNEC), and 66 small-cell lung cancers. Here we report that the integrative analyses on 257 lung neuroendocrine neoplasms stratify atypical carcinoids into two prognostic groups with a 10-year overall survival of 88% and 27%, respectively. We identify therapeutically relevant molecular groups of pulmonary carcinoids, suggesting DLL3 and the immune system as candidate therapeutic targets; we confirm the value of OTP expression levels for the prognosis and diagnosis of these diseases, and we unveil the group of supra-carcinoids. This group comprises samples with carcinoid-like morphology yet the molecular and clinical features of the deadly LCNEC, further supporting the previously proposed molecular link between the low- and high-grade lung neuroendocrine neoplasms.
journal_name
Nat Communjournal_title
Nature communicationsauthors
Alcala N,Leblay N,Gabriel AAG,Mangiante L,Hervas D,Giffon T,Sertier AS,Ferrari A,Derks J,Ghantous A,Delhomme TM,Chabrier A,Cuenin C,Abedi-Ardekani B,Boland A,Olaso R,Meyer V,Altmuller J,Le Calvez-Kelm F,Durand G,Vdoi
10.1038/s41467-019-11276-9subject
Has Abstractpub_date
2019-08-20 00:00:00pages
3407issue
1issn
2041-1723pii
10.1038/s41467-019-11276-9journal_volume
10pub_type
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