A multicenter, cross-platform clinical validation study of cancer cytogenomic arrays

被引:11
|
作者
Li, Marilyn M. [1 ]
Monzon, Federico A. [1 ]
Biegel, Jaclyn A. [2 ]
Jobanputra, Vaidehi [3 ]
Laffin, Jennifer J. [4 ]
Levy, Brynn [3 ]
Leon, Annette [5 ]
Miron, Patricia [6 ]
Rossi, Michael R. [7 ]
Toruner, Gokce [8 ]
Alvarez, Karla [1 ]
Doho, Gregory [7 ]
Dougherty, Margaret J. [2 ]
Hu, Xiaofeng [1 ]
Kash, Shera [9 ]
Streck, Deanna [8 ]
Znoyko, Iya [10 ]
Hagenkord, Jill M. [9 ]
Wolff, Daynna J. [10 ]
机构
[1] Baylor Coll Med, Houston, TX 77030 USA
[2] Childrens Hosp Philadelphia, Philadelphia, PA 19104 USA
[3] Columbia Univ, New York, NY USA
[4] Univ Wisconsin, Madison, WI USA
[5] GenPath, Bioreference Labs, Elmwood Park, NJ USA
[6] Univ Massachusetts, Worcester, MA 01605 USA
[7] Emory Univ, Atlanta, GA 30322 USA
[8] Univ Med & Dent New Jersey, Rutgers New Jersey Med Sch, Newark, NJ 07103 USA
[9] Creighton Univ, Omaha, NE 68178 USA
[10] Med Univ S Carolina, Charleston, SC 29425 USA
关键词
Cancer Genomics Consortium; Cancer cytogenomic microarray; Chronic lymphocytic leukemia; Myelodysplastic syndrome; Renal epithelial tumor; CHRONIC LYMPHOCYTIC-LEUKEMIA; COPY NUMBER ALTERATIONS; PARAFFIN-EMBEDDED TISSUES; RENAL-CELL CANCER; MYELODYSPLASTIC SYNDROMES; MICROARRAY; CLASSIFICATION; ABERRATIONS; SURVIVAL; TUMORS;
D O I
10.1016/j.cancergen.2015.08.002
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Cytogenomic microarray analysis (CMA) offers high resolution, genome-wide copy number information and is widely used in clinical laboratories for diagnosis of constitutional abnormalities. The Cancer Genomics Consortium (CGC) conducted a multiplatform, multicenter clinical validation project to compare the reliability and inter- and intralaboratory reproducibility of this technology for clinical oncology applications. Four specimen types were processed on three different microarray platforms-from Affymetrix, Agilent, and Illumina. Each microarray platform was employed at two independent test sites. The results were compared in a blinded manner with current standard methods, including karyotype, FISH, or morphology. Twenty-nine chronic lymphocytic leukemia blood, 34 myelodysplastic syndrome bone marrow, and 30 fresh frozen renal epithelial tumor samples were assessed by all six laboratories. Thirty formalin fixed paraffin embedded renal tumor samples were analyzed at the Affymetrix and Agilent test sites only. All study samples were initial diagnostic samples. Array data were analyzed at each participating site and were submitted to caArray for central analysis. Laboratory interpretive results were submitted to the central analysis team for comparison with the standard-of-care assays and for calculation of intraplatform reproducibility and cross-platform concordance. The results demonstrated that the three microarray platforms 1) detect clinically actionable genomic changes in cancer compatible to standard-of-care methods; 2) further define cytogenetic aberrations; 3) identify submicroscopic alterations and loss of heterozygosity (LOH); and 4) yield consistent results within and between laboratories. Based on this study, the CGC concludes that CMA is a sensitive and reliable technique for copy number and LOH assessment that may be used for clinical oncology genomic analysis.
引用
收藏
页码:525 / 536
页数:12
相关论文
共 50 条
  • [31] Application of a correlation correction factor in a microarray cross-platform reproducibility study
    Archer, Kellie J.
    Dumur, Catherine I.
    Taylor, G. Scott
    Chaplin, Michael D.
    Guiseppi-Elie, Anthony
    Grant, Geraldine
    Ferreira-Gonzalez, Andrea
    Garrett, Carleton T.
    BMC BIOINFORMATICS, 2007, 8
  • [32] Cross-platform mass spectrometry annotation in breathomics of oesophageal-gastric cancer
    Sung-Tong Chin
    Andrea Romano
    Sophie L. F. Doran
    George B. Hanna
    Scientific Reports, 8
  • [33] Cross-platform mass spectrometry annotation in breathomics of oesophageal-gastric cancer
    Chin, Sung-Tong
    Romano, Andrea
    Doran, Sophie L. F.
    Hanna, George B.
    SCIENTIFIC REPORTS, 2018, 8
  • [34] Cross-platform implementation, verification and validation of advanced mathematical models of elastomeric seismic isolation bearings
    Kumar, Manish
    Whittaker, Andrew S.
    ENGINEERING STRUCTURES, 2018, 175 : 926 - 943
  • [35] Cross-Platform Validation of 15q13.3 Microdeletion Network Effects in Human Neurons
    Fernando, Michael B.
    BIOLOGICAL PSYCHIATRY, 2021, 89 (05) : E25 - E27
  • [36] Does the Migration of Cross-Platform Apps Towards the Android Platform Matter? An Approach and a User Study
    Caulo, Maria
    Francese, Rita
    Scanniello, Giuseppe
    Spera, Antonio
    PRODUCT-FOCUSED SOFTWARE PROCESS IMPROVEMENT, PROFES 2019, 2019, 11915 : 120 - 136
  • [37] ReSOLV: Applying Cryptocurrency Blockchain Methods to Enable Global Cross-Platform Software License Validation
    Litchfield, Alan
    Herbert, Jeff
    CRYPTOGRAPHY, 2018, 2 (02) : 1 - 24
  • [38] Unmasking hate in the pandemic: A cross-platform study of the COVID-19 infodemic
    Zahrah, Fatima
    Nurse, Jason R. C.
    Goldsmith, Michael
    BIG DATA RESEARCH, 2024, 37
  • [39] Study of Cross-Platform Technologies for Data Delivery in Regional Web Surveys in the Education
    Nikulchev, Evgeny
    Ilin, Dmitry
    Belov, Vladimir
    Pushkin, Pavel
    Kolyasnikov, Pavel
    Malykh, Sergey
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (10) : 14 - 19
  • [40] Sparse canonical methods for biological data integration: application to a cross-platform study
    Kim-Anh Lê Cao
    Pascal GP Martin
    Christèle Robert-Granié
    Philippe Besse
    BMC Bioinformatics, 10