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Cross-platform classification in microarray-based leukemia diagnostics

  • Björn Nilsson
  • Anna Andersson
  • M Johansson
  • Thoas Fioretos
Publishing year: 2006
Language: English
Pages: 821-824
Publication/Series: Haematologica
Volume: 91
Issue: 6
Document type: Journal article
Publisher: Ferrata Storti Foundation

Abstract english

Gene expression profiling is a powerful technique for classifying hematologic malignancies. Its clinical use is, however, currently hindered by the need to collect large sets of expression profiles at each diagnostic facility. To overcome this limitation, we introduced cross-platform classification, allowing classifier construction using pre-existing microarray datasets. As proof-of-principle, we performed cross-platform classification of acute myeloid leukemia and childhood acute lymphoblastic leukemia using expression data from four different facilities. We show that cross-platform classification of these disorders is achievable, and, strikingly, that the diagnostic accuracy can be retained. We conclude that cross-platform classification constitutes an effective and convenient way to implement microarray diagnostics.


  • Hematology
  • cross-platform analysis
  • diagnostic classification
  • acute leukemia
  • gene expression profiling
  • humans
  • reproducibility
  • Oligonucleotide Array Sequence Analysis


  • ISSN: 1592-8721
Thoas Fioretos
E-mail: thoas.fioretos [at]

Principal investigator

Division of Clinical Genetics

+46 46 222 45 95

+46 70 334 33 67