4.7 Article

Identification of a CpG Island Methylator Phenotype in Adrenocortical Carcinomas

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JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
卷 98, 期 1, 页码 E174-E184

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OXFORD UNIV PRESS INC
DOI: 10.1210/jc.2012-2993

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资金

  1. program Cartes d'Identite des Tumeurs (CIT)
  2. Conny-Maeva foundation
  3. Plan Hospitalier de Recherche Clinique [AOM06179]
  4. COMETE Network
  5. Recherche Translationnelle DHOS/INCA [RTD09024]
  6. European Union Seventh Framework Program [259735]
  7. Institut National de la Sante et de la Recherche Medicale (INSERM)

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Purpose: DNA methylation is a mechanism for gene expression silencing in cancer. Limited information is available for adrenocortical tumors. Abnormal methylation at the IGF2/H19 locus is common in adrenocortical carcinomas. Our aim was to characterize the methylation in adrenocortical carcinomas at a whole-genome scale and to assess its clinical significance and its impact on gene expression. Experimental Design: Methylation patterns of CpG islands in promoter regions of 51 adrenocortical carcinomas and 84 adenomas were studied by the Infinium Human Methylation27 Beadchip (Illumina, San Diego, CA). Methylation of 33 genes was studied by methylation-specific multiplex ligation-dependent probe amplification (MRC-Holland, Amsterdam, The Netherlands) in 15 carcinomas. Gene expression data were available for 87 tumors from a previous study (HG-U133Plus2.0 AffymetrixGeneChip; Affymetrix, Santa Clara, CA). Clinical information, including patient features and survival, were available for all tumors. Results: Methylation was higher in carcinomas than in adenomas (t test P = 3.1 x 10(-9)). Unsupervised clustering of DNA methylation profiles identified two groups of carcinomas, one with an elevated methylation level, evoking a CpG island methylator phenotype (CIMP). The subgroup of hypermethylated carcinomas was further divided in two subgroups, with different levels of methylation (CIMP-high and CIMP-low). This classification could be confirmed by methylation-specific multiplex ligation-dependent probe amplification. Hypermethylation was associated with a poor survival (Cox model P = 0.02). The transcriptome/methylation correlation showed 1741 genes (of 12,250) negatively correlated; among the top genes were H19 and other tumor suppressors (PLAGL-1, G0S2, and NDRG2). Conclusions: This genome-wide methylation analysis reveals the existence of hypermethylated adrenocortical carcinomas, with a poorer prognosis. Hypermethylation in these tumors is important for silencing specific tumor suppressor genes. (J Clin Endocrinol Metab 98: E174-E184, 2013)

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