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Multi-omics analysis defines core genomic alterations in pheochromocytomas and paragangliomas

Pheochromocytomas and paragangliomas (PCCs/PGLs) are neural crest-derived tumours with a very strong genetic component. Here we report the first integrated genomic examination of a large collection of PCC/PGL. SNP array analysis reveals distinct copy-number patterns associated with genetic backgroun...

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Detalles Bibliográficos
Autores principales: Castro-Vega, Luis Jaime, Letouzé, Eric, Burnichon, Nelly, Buffet, Alexandre, Disderot, Pierre-Hélie, Khalifa, Emmanuel, Loriot, Céline, Elarouci, Nabila, Morin, Aurélie, Menara, Mélanie, Lepoutre-Lussey, Charlotte, Badoual, Cécile, Sibony, Mathilde, Dousset, Bertrand, Libé, Rossella, Zinzindohoue, Franck, Plouin, Pierre François, Bertherat, Jérôme, Amar, Laurence, de Reyniès, Aurélien, Favier, Judith, Gimenez-Roqueplo, Anne-Paule
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354166/
https://www.ncbi.nlm.nih.gov/pubmed/25625332
http://dx.doi.org/10.1038/ncomms7044
Descripción
Sumario:Pheochromocytomas and paragangliomas (PCCs/PGLs) are neural crest-derived tumours with a very strong genetic component. Here we report the first integrated genomic examination of a large collection of PCC/PGL. SNP array analysis reveals distinct copy-number patterns associated with genetic background. Whole-exome sequencing shows a low mutation rate of 0.3 mutations per megabase, with few recurrent somatic mutations in genes not previously associated with PCC/PGL. DNA methylation arrays and miRNA sequencing identify DNA methylation changes and miRNA expression clusters strongly associated with messenger RNA expression profiling. Overexpression of the miRNA cluster 182/96/183 is specific in SDHB-mutated tumours and induces malignant traits, whereas silencing of the imprinted DLK1-MEG3 miRNA cluster appears as a potential driver in a subgroup of sporadic tumours. Altogether, the complete genomic landscape of PCC/PGL is mainly driven by distinct germline and/or somatic mutations in susceptibility genes and reveals different molecular entities, characterized by a set of unique genomic alterations.