A comparison of DNA copy number profiling platforms

被引:50
|
作者
Greshock, Joel
Feng, Bin
Nogueira, Cristina
Ivanova, Elena
Perna, Ilana
Nathanson, Katherine
Protopopov, Alexei
Weber, Barbara L.
Chin, Lynda
机构
[1] Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02115 USA
[2] GlaxoSmithKline, Translat Med, King Of Prussia, PA USA
[3] Belfer Inst Innovat Canc Sci, Ctr Appl Canc Sci, Boston, MA USA
[4] Harvard Univ, Sch Med, Dept Dermatol, Boston, MA 02115 USA
[5] Univ Penn, Abramson Family Canc Res Inst, Philadelphia, PA 19104 USA
关键词
D O I
10.1158/0008-5472.CAN-07-2102
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:10173 / 10180
页数:8
相关论文
共 50 条
  • [31] Genomic Copy Number Profiling Using Circulating Free Tumour DNA Highlights Heterogeneity in Neuroblastoma
    Chicard, M.
    Boyault, S.
    Daage, L. Colmet
    Richer, W.
    Gentien, D.
    Pierron, G.
    Bellini, A.
    Clement, N.
    Hocking, T.
    Lapouble, E.
    Iacono, I.
    Brejon, S.
    Carrere, M.
    Reyes, C.
    Michon, J.
    Puisieux, A.
    Delattre, O.
    Combaret, V.
    Schleiermacher, G.
    PEDIATRIC BLOOD & CANCER, 2016, 63 : S28 - S28
  • [32] Genome-wide profiling of gene expression and DNA copy number alterations in multiple myeloma
    Keats, Jonathan
    Chapman, Mike
    Carpten, John
    Chng, Wee-Joo
    Baker, Angela
    Ahmann, Gregory
    Trudel, Suzanne
    Siegel, David
    Rajkumar, S. Vincent
    Alsina, Melissa
    Richardson, Paul
    Anderson, Kenneth
    Auclair, Daniel
    Perkins, Louise M.
    Trent, Jeffrey
    Golub, Todd R.
    Fonseca, Rafael
    BLOOD, 2007, 110 (11) : 123A - 123A
  • [33] Genomic profiling reveals extensive heterogeneity in somatic DNA copy number aberrations of canine hemangiosarcoma
    Rachael Thomas
    Luke Borst
    Daniel Rotroff
    Alison Motsinger-Reif
    Kerstin Lindblad-Toh
    Jaime F. Modiano
    Matthew Breen
    Chromosome Research, 2014, 22 : 305 - 319
  • [34] DNA methylation and copy number variation profiling of T-cell lymphoblastic leukemia and lymphoma
    Haider, Zahra
    Landfors, Mattias
    Golovleva, Irina
    Erlanson, Martin
    Schmiegelow, Kjeld
    Flaegstad, Trond
    Kanerva, Jukka
    Noren-Nystrom, Ulrika
    Hultdin, Magnus
    Degerman, Sofie
    BLOOD CANCER JOURNAL, 2020, 10 (04)
  • [35] Genomic profiling reveals extensive heterogeneity in somatic DNA copy number aberrations of canine hemangiosarcoma
    Thomas, Rachael
    Borst, Luke
    Rotroff, Daniel
    Motsinger-Reif, Alison
    Lindblad-Toh, Kerstin
    Modiano, Jaime F.
    Breen, Matthew
    CHROMOSOME RESEARCH, 2014, 22 (03) : 305 - 319
  • [36] Low copy number DNA profiling from isolated sperm using the aureka®-micromanipulation system
    Schneider, C.
    Mueller, U.
    Kilper, R.
    Siebertz, B.
    FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2012, 6 (04) : 461 - 465
  • [37] DNA COPY NUMBER PROFILING ACROSS GLIOBLASTOMA POPULATIONS HAS IMPLICATIONS FOR CLINICAL TRIAL DESIGN
    Cimino, Patrick
    McFerrin, Lisa
    Wirsching, Hans-Georg
    Arora, Sonali
    Bolouri, Hamid
    Rabadan, Raul
    Weller, Michael
    Holland, Eric
    NEURO-ONCOLOGY, 2018, 20 : 169 - 169
  • [38] DNA methylation and copy number variation profiling of T-cell lymphoblastic leukemia and lymphoma
    Zahra Haider
    Mattias Landfors
    Irina Golovleva
    Martin Erlanson
    Kjeld Schmiegelow
    Trond Flægstad
    Jukka Kanerva
    Ulrika Norén-Nyström
    Magnus Hultdin
    Sofie Degerman
    Blood Cancer Journal, 10
  • [39] Genomic Copy Number Profiling Using Circulating Free Tumor DNA Highlights Heterogeneity in Neuroblastoma
    Chicard, Mathieu
    Boyault, Sandrine
    Daage, Leo Colmet
    Richer, Wilfrid
    Gentien, David
    Pierron, Gaelle
    Lapouble, Eve
    Bellini, Angela
    Clement, Nathalie
    Iacono, Isabelle
    Brejon, Stephanie
    Carrere, Marjorie
    Reyes, Cecile
    Hocking, Toby
    Bernard, Virginie
    Peuchmaur, Michel
    Corradini, Nadege
    Faure-Conter, Cecile
    Coze, Carole
    Plantaz, Dominique
    Defachelles, Anne Sophie
    Thebaud, Estelle
    Gambart, Marion
    Millot, Frederic
    Valteau-Couanet, Dominique
    Michon, Jean
    Puisieux, Alain
    Delattre, Olivier
    Combaret, Valerie
    Schleiermacher, Gudrun
    CLINICAL CANCER RESEARCH, 2016, 22 (22) : 5564 - 5573
  • [40] DNA copy number changes in breast cancer samples using array-CGH profiling
    R Argonza-Barrett
    W Dorlijn
    J Bailey
    Breast Cancer Research, 7