Integrated genomic characterization of adrenocortical carcinoma
Adrenocortical carcinomas (ACC) are aggressive cancers originating in the cortex of the adrenal glands. Despite the overall poor prognosis, ACC outcome is heterogeneous. CTNNB1 and TP53 mutations are frequent in these tumors, but the complete spectrum of genetic changes remains undefined. Exome sequencing and SNP array analysis of 45 ACC revealed recurrent alterations in known drivers (CTNNB1, TP53, CDKN2A, RB1, MEN1) and genes not previously reported to be altered in ACC (ZNRF3, DAXX, TERT and MED12), which were validated in an independent cohort of 77 ACC. The cell-surface transmembrane E3 ubiquitin ligase ZNRF36 was the gene the most frequently altered (21%), and appears as a potential novel tumor suppressor gene related to the ß-catenin pathway.Our integrated genomic analyses led to the identification of two distinct molecular subgroups with opposite outcome. The C1A group of poor outcome ACC was characterized by numerous mutations and DNA methylation alterations, whereas the C1B group with good prognosis displayed a specific deregulation of two miRNA clusters. Thus, aggressive and indolent ACC correspond to two distinct molecular entities, driven by different oncogenic alterations.
- 27/05/2015
- 45 samples
- DAC: EGAC00001000178
- Technology: Illumina HiSeq 2000
Institut National de la Santé et de la Recherche Médicale U1016
data and metadata to the European Genome phenome Archive (EGA) for the purpose of controlled access for individuals approved by Jérôme Bertherat. Service d'Endocrinologie, Hôpital Cochin, 27 rue du Fg-St-Jacques, F-75014, ParisTel +33 (0)1 58 41 18 95 ; Fax: +33 (0)1 46 33 80 60Coordinateur Centre de Référence Maladies Rares de la Surrénalehttp://surrenales.aphp.fr/Chef d'équipe Tumeurs Endocrines & Signalisation, Institut CochinINSERM U 1016, CNRS UMR8104, Université Paris Descarteshttp://cochin.inserm.fr/la_recherche/departements/emc/equipe-bertherat
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
Study ID | Study Title | Study Type |
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Other |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.
ID | File Type | Size | Located in | |
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EGAF00000502814 | bam | 9.5 GB | ||
EGAF00000502815 | bam | 10.8 GB | ||
EGAF00000502816 | bam | 8.0 GB | ||
EGAF00000502817 | bam | 10.6 GB | ||
EGAF00000502818 | bam | 11.2 GB | ||
EGAF00000502819 | bam | 7.9 GB | ||
EGAF00000502820 | bam | 7.7 GB | ||
EGAF00000502821 | bam | 9.1 GB | ||
EGAF00000502822 | bam | 8.6 GB | ||
EGAF00000502823 | bam | 7.2 GB | ||
EGAF00000502824 | bam | 8.1 GB | ||
EGAF00000502825 | bam | 8.7 GB | ||
EGAF00000502826 | bam | 9.7 GB | ||
EGAF00000502827 | bam | 9.0 GB | ||
EGAF00000502828 | bam | 9.5 GB | ||
EGAF00000502829 | bam | 9.0 GB | ||
EGAF00000502830 | bam | 8.7 GB | ||
EGAF00000502831 | bam | 9.0 GB | ||
EGAF00000502832 | bam | 9.5 GB | ||
EGAF00000502833 | bam | 9.6 GB | ||
EGAF00000502834 | bam | 7.9 GB | ||
EGAF00000502835 | bam | 9.8 GB | ||
EGAF00000502836 | bam | 9.5 GB | ||
EGAF00000502837 | bam | 8.4 GB | ||
EGAF00000502838 | bam | 9.2 GB | ||
EGAF00000502839 | bam | 8.7 GB | ||
EGAF00000502840 | bam | 7.9 GB | ||
EGAF00000502841 | bam | 9.1 GB | ||
EGAF00000502842 | bam | 9.4 GB | ||
EGAF00000502843 | bam | 8.3 GB | ||
EGAF00000502844 | bam | 8.2 GB | ||
EGAF00000502845 | bam | 8.9 GB | ||
EGAF00000502846 | bam | 9.3 GB | ||
EGAF00000502847 | bam | 9.9 GB | ||
EGAF00000502848 | bam | 9.4 GB | ||
EGAF00000502849 | bam | 9.3 GB | ||
EGAF00000502850 | bam | 9.1 GB | ||
EGAF00000502851 | bam | 7.3 GB | ||
EGAF00000502852 | bam | 9.7 GB | ||
EGAF00000502853 | bam | 9.0 GB | ||
EGAF00000502854 | bam | 9.2 GB | ||
EGAF00000502855 | bam | 9.0 GB | ||
EGAF00000502856 | bam | 9.5 GB | ||
EGAF00000502857 | bam | 7.9 GB | ||
EGAF00000502858 | bam | 9.5 GB | ||
45 Files (404.8 GB) |