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A Novel Method of Amplification of FFPET-Derived RNA Enables Accurate Disease Classification with Microarrays

  1. Author:
    Williams, P. M.
    Li, R.
    Johnson, N. A.
    Wright, G.
    Heath, J. D.
    Gascoyne, R. D.
  2. Author Address

    [Williams, P. Mickey; Li, Rui] Roche Mol Diagnost, Pleasanton, CA USA. [Johnson, Nathalie A.; Gascoyne, Randy D.] British Columbia Canc Agcy, Vancouver, BC, Canada. [Wright, George] NCI, Biometr Res Branch, Div Canc Treatment, Ctr Canc Res, Bethesda, MD 20892 USA. [Wright, George] NCI, Diag & Metab Branch, Ctr Canc Res, Bethesda, MD 20892 USA. [Heath, Joe-Don] Nugen Technol, San Carlos, CA USA.;Williams, PM, NCI, Patient Characterizat Ctr, SAIC, Frederick, MD 21702 USA.;mickey.williams@nih.gov
    1. Year: 2010
    2. Date: Sep
  1. Journal: Journal of Molecular Diagnostics
    1. 12
    2. 5
    3. Pages: 680-686
  2. Type of Article: Article
  3. ISSN: 1525-1578
  1. Abstract:

    A new method for amplification and labeling of RNA is assessed that permits gene expression microarray analysis of formalin-fixed paraffin-embedded tissue (FFPET) samples. Valid biological data were obtained using gene expression microarrays of diffuse large B-cell lymphoma (DLBCL) FFPET samples. We examined 59 matched DLBCL patient samples, FFPET, and fresh/frozen. The samples contained both prognostic subgroups of DLBCL: germinal center B-cell (GCB) and activated B-cell (ABC). Fresh/frozen (FF) samples were amplified by both the traditional Eberwine oligo-dT method and a new method described herein. The matching FFPET samples were also amplified using the new method. Here we detail the comparison of results from all three datasets of matched samples. An established classification model built from previous data accurately classified these new samples. This new method provides a useful technology advance for microarray analysis of FFPET archival samples. (J Mol Diagn 2010, 12:680-686; DOI: 10.2353/jmoldx.2010.090164)

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External Sources

  1. DOI: 10.2353/jmoldx.2010.090164
  2. WOS: 000281690800017

Library Notes

  1. Fiscal Year: FY2009-2010
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