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Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma

Authors: Siyuan Zheng; Andrew D. Cherniack; Ninad Dewal; Richard A. Moffitt; Ludmila Danilova; Bradley A. Murray; Antonio M. Lerario; +193 Authors

Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma

Abstract

SummaryWe 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, suggesting WGD is 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.

Country
United States
Keywords

Adult, Male, Outcome Assessment, Adolescent, Oncology and Carcinogenesis, Bioinformatics and Computational Biology, 610, Cancer Genome Atlas Research Network, Disease-Free Survival, Young Adult, Rare Diseases, Clinical Research, Outcome Assessment, Health Care, Genetics, 80 and over, Adrenocortical Carcinoma, Humans, Genetic Predisposition to Disease, Oncology & Carcinogenesis, Child, Cancer, Aged, Aged, 80 and over, Neoplastic, Genome, Biomedical and Clinical Sciences, Genome, Human, Gene Expression Profiling, Human Genome, Neurosciences, Genomics, Biological Sciences, DNA Methylation, Middle Aged, Prognosis, Adrenal Cortex Neoplasms, 4.1 Discovery and preclinical testing of markers and technologies, Health Care, Gene Expression Regulation, Neoplastic, Gene Expression Regulation, Biochemistry and cell biology, Mutation, Female, Biotechnology, Human

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
621
Top 0.1%
Top 1%
Top 0.1%
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