Skip to main navigation Skip to search Skip to main content

Comprehensive pan-genomic characterization of adrenocortical carcinoma

  • The Cancer Genome Atlas Research Network
  • University of Texas MD Anderson Cancer Center
  • Broad Institute
  • Harvard University
  • Baylor College of Medicine
  • University of North Carolina at Chapel Hill
  • Johns Hopkins University
  • Intellia Therapeutics
  • Universidade de São Paulo
  • University of Michigan, Ann Arbor
  • Institute for Systems Biology
  • University of Lausanne
  • Memorial Sloan-Kettering Cancer Center
  • Translational Genomics Research Institute
  • Institut Cochin
  • Université Paris Cité
  • European Network for the Study of Adrenal Tumors
  • University of California at Santa Cruz
  • Brigham and Women’s Hospital
  • University of Marburg
  • University Health Network
  • Provincial Health Services Authority
  • Brown University
  • Ashion Analytics
  • Ludwig Maximilian University of Munich
  • University of Sydney
  • Royal North Shore Hospital
  • National Institutes of Health
  • Arizona State University
  • University of Würzburg

Research output: Contribution to journalArticlepeer-review

Abstract

We describe a comprehensive genomic characterization of adrenocortical carcinoma (ACC). Using this dataset, we expand the catalogue of known ACC driver genes to include PRKAR1A, RPL22, TERF2, CCNE1, and NF1. Genome wide DNA copy-number analysis revealed frequent occurrence of massive DNA loss followed by whole-genome doubling (WGD), which was associated with aggressive clinical course, suggestingWGDis a hallmark of disease progression. Corroborating this hypothesis were increased TERT expression, decreased telomere length, and activation of cell-cycle programs. Integrated subtype analysis identified three ACC subtypes with distinct clinical outcome and molecular alterations which could be captured by a 68-CpG probe DNA-methylation signature, proposing a strategy for clinical stratification of patients based on molecular markers.

Original languageEnglish
Pages (from-to)723-736
Number of pages14
JournalCancer Cell
Volume29
Issue number5
DOIs
StatePublished - 9 May 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Comprehensive pan-genomic characterization of adrenocortical carcinoma'. Together they form a unique fingerprint.

Cite this