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Cross-platform classification in microarray-based leukemia diagnostics

Nilsson, Björn LU ; Andersson, Anna LU ; Johansson, M and Fioretos, Thoas LU (2006) In Haematologica 91(6). p.821-824
Abstract
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
cross-platform analysis, diagnostic classification, acute leukemia, gene expression profiling, humans, reproducibility, Oligonucleotide Array Sequence Analysis
in
Haematologica
volume
91
issue
6
pages
4 pages
publisher
Ferrata Storti Foundation
external identifiers
  • pmid:16769585
  • wos:000238322400026
  • scopus:33745736739
ISSN
1592-8721
language
English
LU publication?
yes
id
06ab32b9-1295-4b99-9f8d-350186969705 (old id 406090)
alternative location
http://www.haematologica.org/cgi/content/abstract/91/6/821
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16769585&dopt=Abstract
date added to LUP
2016-04-01 12:28:17
date last changed
2019-11-26 03:35:50
@article{06ab32b9-1295-4b99-9f8d-350186969705,
  abstract     = {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.},
  author       = {Nilsson, Björn and Andersson, Anna and Johansson, M and Fioretos, Thoas},
  issn         = {1592-8721},
  language     = {eng},
  number       = {6},
  pages        = {821--824},
  publisher    = {Ferrata Storti Foundation},
  series       = {Haematologica},
  title        = {Cross-platform classification in microarray-based leukemia diagnostics},
  url          = {http://www.haematologica.org/cgi/content/abstract/91/6/821},
  volume       = {91},
  year         = {2006},
}