An integrated genomics approach identifies drivers of proliferation in luminal-subtype human breast cancer

Charles Perou and colleagues apply a panel of 52 published gene expression signatures of human breast tumors to expression data from The Cancer Genome Project to identify new proliferation drivers. They find genomic regions that are uniquely amplified in highly proliferative luminal breast tumors, i...

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Vydáno v:Nature genetics Ročník 46; číslo 10; s. 1051 - 1059
Hlavní autoři: Gatza, Michael L, Silva, Grace O, Parker, Joel S, Fan, Cheng, Perou, Charles M
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Nature Publishing Group US 01.10.2014
Nature Publishing Group
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631/208/212
Agriculture
analysis
Animal Genetics and Genomics
Biomedical and Life Sciences
Biomedicine
Breast cancer
Breast Neoplasms - genetics
Breast Neoplasms - pathology
Cancer Research
Carcinogenesis
Cell Line, Tumor
Cell Proliferation
Cluster Analysis
Deoxyribonucleic acid
Development and progression
DNA
DNA Copy Number Variations
Female
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Gene Function
Genes, Essential - genetics
Genetic aspects
Genetic engineering
Genetic Predisposition to Disease - genetics
Genetic research
Genomes
Genomics
Genomics - methods
Human Genetics
Humans
Medical research
Multivariate Analysis
Oligonucleotide Array Sequence Analysis - statistics & numerical data
Prognosis
Proportional Hazards Models
RNA Interference
Rodents
Signal Transduction - genetics
Studies
Survival Analysis
Tumorigenesis
Tumors
Variance analysis
ISSN:1061-4036, 1546-1718, 1546-1718
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Shrnutí:Charles Perou and colleagues apply a panel of 52 published gene expression signatures of human breast tumors to expression data from The Cancer Genome Project to identify new proliferation drivers. They find genomic regions that are uniquely amplified in highly proliferative luminal breast tumors, including some that are correlated with poor prognosis. Elucidating the molecular drivers of human breast cancers requires a strategy that is capable of integrating multiple forms of data and an ability to interpret the functional consequences of a given genetic aberration. Here we present an integrated genomic strategy based on the use of gene expression signatures of oncogenic pathway activity ( n = 52) as a framework to analyze DNA copy number alterations in combination with data from a genome-wide RNA-mediated interference screen. We identify specific DNA amplifications and essential genes within these amplicons representing key genetic drivers, including known and new regulators of oncogenesis. The genes identified include eight that are essential for cell proliferation ( FGD5 , METTL6 , CPT1A , DTX3 , MRPS23 , EIF2S2 , EIF6 and SLC2A10 ) and are uniquely amplified in patients with highly proliferative luminal breast tumors, a clinical subset of patients for which few therapeutic options are effective. This general strategy has the potential to identify therapeutic targets within amplicons through an integrated use of genomic data sets.
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ISSN:1061-4036
1546-1718
1546-1718
DOI:10.1038/ng.3073