Cancer Research · 2007 · 73 citations · 18 references
Life SciencesGeneticsOncologyCancer GeneticsGenomicsOncogenesCancer CytogeneticsCancer GenomicsCopy Number AlterationsMolecular Tumor ProfilingOncogene AmplificationCancer Copy Number AlterationsChromosomal Copy Number AberrationsCopy Number Alteration ProfilingCopy Number GainsCopy Number ProfilingFocal Copy Number AlterationsMicroarray AnalysisMicroarray-based Copy Number Detection
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.
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Circular binary segmentation for the analysis of array-based DNA copy number data
Adam B. Olshen, E. S. Venkatraman, R. Lucito et al. · Biostatistics · 2004 · 2.4K citations
Multicolor Spectral Karyotyping of Human Chromosomes
Evelin Schröck, Stanislas du Manoir, Timothy Veldman et al. · Science · 1996 · 1.8K citations
Jonathan R. Pollack, Thérese Sørlie, Charles M. Perou et al. · Proceedings of the National Academy of Sciences · 2002 · 1.1K citations
Life Sciences, Genetics, Oncology +17