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.
Original language | English |
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Article number | 3407 |
Pages (from-to) | 1-21 |
Number of pages | 21 |
Journal | Nature Communications |
Volume | 10 |
Issue number | 1 |
DOIs | |
Publication status | Published - 20 Aug 2019 |
Keywords
- CELL LUNG-CANCER
- NEUROENDOCRINE TUMORS
- DENDRITIC CELLS
- EXPRESSION
- CLASSIFICATION
- MUTATIONS
- DISCOVERY
- PATHWAY
- HEALTH
- IDENTIFICATION