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PMID: 17968032 Published · ppublish English Comparative Study Journal Article Research Support, N.I.H., Extramural

A comparison of DNA copy number profiling platforms.

Cancer research ·Vol. 67 ·No. 21 ·2007-11-01 ·Pages 10173-80

Greshock J, Feng B, Nogueira C, Ivanova E, Perna I, Nathanson K, Protopopov A, Weber BL, Chin L

Abstract

The accurate mapping of recurring DNA copy number aberrations (CNAs), a hallmark feature of the cancer genome, has facilitated the discovery of tumor suppressor genes and oncogenes. Microarray-based assays designed to detect these chromosomal copy number alterations on a genome-wide and high-resolution scale have emerged as a cornerstone technology in the genomic era. The diversity of commercially available platforms prompted a systematic comparison of five copy number profiling assays for their ability to detect 2-fold copy number gain and loss (4n or 1n, respectively) as well as focal high-amplitude CNAs. Here, using a collection of established human melanoma cell lines, we defined the reproducibility, absolute signals, signal to noise, and false-positive and false-negative rates for each of the five assays against ground truth defined by spectral karyotyping, in addition to comparing the concordance of CNA detection by two high-resolution Agilent and Affymetrix microarray platforms. Our analyses concluded that the Agilent's 60-mer oligonucleotide microarray with probe design optimized for genomic hybridization offers the highest sensitivity and specificity (area under receiver operator characteristic curve >0.99), whereas Affymetrix's single nucleotide polymorphism microarray seems to offer better detection of CNAs in gene-poor regions. Availability of these comparison results should guide study design decisions and facilitate further computational development.

MeSH Terms
Cell Line, Tumor Gene Dosage Gene Expression Profiling Humans Melanoma/genetics Oligonucleotide Array Sequence Analysis Reproducibility of Results Sensitivity and Specificity
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Greshock Joel
Translational Medicine, GlaxoSmithKline, King of Prussia, Pennsylvania, USA.
Feng Bin
Nogueira Cristina
Ivanova Elena
Perna Ilana
Nathanson Katherine
Protopopov Alexei
Weber Barbara L
Chin Lynda
Article Info
Journal
Cancer research
Abbr.
Cancer Res
ISSN
1538-7445
Published
2007-11-01
Epub
2007-00-29
Pages
10173-80
Language
English
Region
United States
NLM ID
2984705R
Subset
IM
Grants
NCI NIH HHS · P50 CA93638 · United States
NCI NIH HHS · R01 CA99041 · United States
NCI NIH HHS · R01 CA093947 · United States
NCI NIH HHS · R01 CA093947-06 · United States
NCI NIH HHS · R01 CA93947 · United States
NCI NIH HHS · P01 CA095616 · United States
NCI NIH HHS · U24 CA126554 · United States
NCI NIH HHS · P01 CA095616-01A19003 · United States
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