A total of 71 newly diagnosed MM patients screened at the University of Arkansas for Medical Sciences and with simultaneously available information on CD19 and CD81 immunophenotypic patterns of expression and GEP were included in this analysis. An aliquot of BM aspirate was collected to isolate CD138+ PCs with immunomagnetic bead selection (autoMACS; Miltenyi Biotec, Bergisch Gladbach, Germany), as described elsewhere.25 (link) Purity of PC was monitored by flow cytometry and was ≥ 85%. Total RNA was used to measure GEP with Affymetrix U133 Plus 2.0 microarrays. Differentially expressed genes between classes were identified using the Significant Analysis of Microarrays algorithm. Analyses were performed using BRB-ArrayTools (version 4.4.1) developed by Dr Richard Simon and the BRB-ArrayTools Development Team, available at http://linus.nci.nih.gov/BRB-ArrayTools.html .
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Gene Expression Profiling of Multiple Myeloma
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Corresponding Organization :
Other organizations : Clinica Universidad de Navarra, Centro de Investigación del Cáncer, Instituto de Investigación Biomédica de Salamanca, Research Institute Hospital 12 de Octubre, Erasmus MC, Hospital Universitari i Politècnic La Fe, Monash University, Universitat de Barcelona, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Hospital Universitario de Canarias, Institut Català d'Oncologia, Biogipuzkoa Health Research Institute, Hospital Universitari de Girona Doctor Josep Trueta, University of Arkansas for Medical Sciences, Universidad de Salamanca, Hospital Clínic de Barcelona
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Variable analysis
independent variables
- CD19 and CD81 immunophenotypic patterns of expression
- Differentially expressed genes between classes
- Purity of plasma cells (PC) was monitored by flow cytometry and was ≥ 85%
- No positive or negative controls were explicitly mentioned in the input.
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