<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Alcala N</submitter><funding>Associazione Italiana per la Ricerca sul Cancro</funding><funding>World Health Organization</funding><funding>Institut National Du Cancer</funding><funding>Ligue Nationale contre le Cancer France Genomique</funding><funding>Foundation for the National Institutes of Health</funding><funding>NCI NIH HHS</funding><pagination>3407</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6702229</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(1)</volume><pubmed_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 dis</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Integrative and comparative genomic analyses identify clinically relevant pulmonary carcinoid groups and unveil the supra-carcinoids.</pubmed_title><pmcid>PMC6702229</pmcid><funding_grant_id>001</funding_grant_id><funding_grant_id>R03CA195253</funding_grant_id><funding_grant_id>IG 19238</funding_grant_id><funding_grant_id>PRT-K-17-047</funding_grant_id><funding_grant_id>TABAC 17-022</funding_grant_id><funding_grant_id>R03 CA195253</funding_grant_id><pubmed_authors>Leblay N</pubmed_authors><pubmed_authors>Thomas de Montpreville V</pubmed_authors><pubmed_authors>Cuenin C</pubmed_authors><pubmed_authors>Moonen L</pubmed_authors><pubmed_authors>Pelosi G</pubmed_authors><pubmed_authors>Alcala N</pubmed_authors><pubmed_authors>Brustugun OT</pubmed_authors><pubmed_authors>Lantuejoul S</pubmed_authors><pubmed_authors>Meyer V</pubmed_authors><pubmed_authors>Blanc-Fournier C</pubmed_authors><pubmed_authors>Viari A</pubmed_authors><pubmed_authors>Ghantous A</pubmed_authors><pubmed_authors>Wright G</pubmed_authors><pubmed_authors>Voegele C</pubmed_authors><pubmed_authors>Lund-Iversen M</pubmed_authors><pubmed_authors>Roz L</pubmed_authors><pubmed_authors>Saenger J</pubmed_authors><pubmed_authors>McKay JD</pubmed_authors><pubmed_authors>Galateau-Salle F</pubmed_authors><pubmed_authors>Sandoval J</pubmed_authors><pubmed_authors>Le Calvez-Kelm F</pubmed_authors><pubmed_authors>Brevet M</pubmed_authors><pubmed_authors>Hervas D</pubmed_authors><pubmed_authors>Sertier AS</pubmed_authors><pubmed_authors>Hofman P</pubmed_authors><pubmed_authors>Brambilla E</pubmed_authors><pubmed_authors>Brcic L</pubmed_authors><pubmed_authors>Le Stang N</pubmed_authors><pubmed_authors>Deleuze JF</pubmed_authors><pubmed_authors>Speel EJM</pubmed_authors><pubmed_authors>Hofman V</pubmed_authors><pubmed_authors>Fernandez-Cuesta L</pubmed_authors><pubmed_authors>Papotti MG</pubmed_authors><pubmed_authors>Field JK</pubmed_authors><pubmed_authors>Herceg Z</pubmed_authors><pubmed_authors>Pastorino U</pubmed_authors><pubmed_authors>Vignaud JM</pubmed_authors><pubmed_authors>Gabriel AAG</pubmed_authors><pubmed_authors>Boland A</pubmed_authors><pubmed_authors>Soltermann A</pubmed_authors><pubmed_authors>Chabrier A</pubmed_authors><pubmed_authors>Ferrari A</pubmed_authors><pubmed_authors>Russell PA</pubmed_authors><pubmed_authors>Giffon T</pubmed_authors><pubmed_authors>Graziano P</pubmed_authors><pubmed_authors>Foll M</pubmed_authors><pubmed_authors>Clement JH</pubmed_authors><pubmed_authors>Lemaitre N</pubmed_authors><pubmed_authors>Boyault S</pubmed_authors><pubmed_authors>Abedi-Ardekani B</pubmed_authors><pubmed_authors>Hernandez-Vargas H</pubmed_authors><pubmed_authors>Altmuller J</pubmed_authors><pubmed_authors>Popper H</pubmed_authors><pubmed_authors>Lacomme S</pubmed_authors><pubmed_authors>Toffart AC</pubmed_authors><pubmed_authors>Durand G</pubmed_authors><pubmed_authors>Dingemans AMC</pubmed_authors><pubmed_authors>Caux C</pubmed_authors><pubmed_authors>Girard N</pubmed_authors><pubmed_authors>Stojsic J</pubmed_authors><pubmed_authors>Sozzi G</pubmed_authors><pubmed_authors>Mangiante L</pubmed_authors><pubmed_authors>Delhomme TM</pubmed_authors><pubmed_authors>Nuernberg P</pubmed_authors><pubmed_authors>Milione M</pubmed_authors><pubmed_authors>Volante M</pubmed_authors><pubmed_authors>Olaso R</pubmed_authors><pubmed_authors>Lorimier P</pubmed_authors><pubmed_authors>Derks J</pubmed_authors><pubmed_authors>Muscarella LA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrative and comparative genomic analyses identify clinically relevant pulmonary carcinoid groups and unveil the supra-carcinoids.</name><description>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 dis</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Aug</publication><modification>2026-06-04T02:12:41.041Z</modification><creation>2019-08-26T07:04:10Z</creation></dates><accession>S-EPMC6702229</accession><cross_references><pubmed>31431620</pubmed><doi>10.1038/s41467-019-11276-9</doi></cross_references></HashMap>