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Blood, 1 December 2004, Vol. 104, No. 12, pp. 3679-3687. Prepublished online as a Blood First Edition Paper on June 29, 2004; DOI 10.1182/blood-2004-03-1154. This Article Full Text Full Text (PDF) Supplemental Data All Versions of this Article: 2004-03-1154v1 104/12/3679    most recent Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Rights and Permissions Citing Articles Citing Articles via HighWire Citing Articles via CrossRef Citing Articles via Google Scholar Google Scholar Articles by Ross, M. E. Articles by Downing, J. R. Search for Related Content PubMed PubMed Citation Articles by Ross, M. E. Articles by Downing, J. R. Related Collections Neoplasia Oncogenes and Tumor Suppressors Gene Expression Genomics Free Research Articles Related Article in Blood Online Social Bookmarking                   What's this?  Previous Article  |  Table of Contents  |  Next Article  NEOPLASIA Gene expression profiling of pediatric acute myelogenous leukemia Mary E. Ross, Rami Mahfouz, Mihaela Onciu, Hsi-Che Liu, Xiaodong Zhou, Guangchun Song, Sheila A. Shurtleff, Stanley Pounds, Cheng Cheng, Jing Ma, Raul C. Ribeiro, Jeffrey E. Rubnitz, Kevin Girtman, W. Kent Williams, Susana C. Raimondi, Der-Cherng Liang, Lee-Yung Shih, Ching-Hon Pui, and James R. Downing From the Departments of Hematology-Oncology, Pathology, Biostatistics, and the Hartwell Center for Bioinformatics and Biotechnology, St Jude Children's Research Hospital, Memphis, TN; the Division of Pediatric Hematology-Oncology, Mackay Memorial Hospital, and the Division of Hematology-Oncology, Chang Gung Memorial Hospital, Taipei, Taiwan. Contemporary treatment of pediatric acute myeloid leukemia (AML) requires the assignment of patients to specific risk groups. To explore whether expression profiling of leukemic blasts could accurately distinguish between the known risk groups of AML, we analyzed 130 pediatric and 20 adult AML diagnostic bone marrow or peripheral blood samples using the Affymetrix U133A microarray. Class discriminating genes were identified for each of the major prognostic subtypes of pediatric AML, including t(15;17)[PML-RAR], t(8;21)[AML1-ETO], inv16 [CBF-MYH11], MLL chimeric fusion genes, and cases classified as FAB-M7. When subsets of these genes were used in supervised learning algorithms, an overall classification accuracy of more than 93% was achieved. Moreover, we were able to use the expression signatures generated from the pediatric samples to accurately classify adult de novo AMLs with the same genetic lesions. The class discriminating genes also provided novel insights into the molecular pathobiology of these leukemias. Finally, using a combined pediatric data set of 130 AMLs and 137 acute lymphoblastic leukemias, we identified an expression signature for cases with MLL chimeric fusion genes irrespective of lineage. Surprisingly, AMLs containing partial tandem duplications of MLL failed to cluster with MLL chimeric fusion gene cases, suggesting a significant difference in their underlying mechanism of transformation. CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this? Related Article in Blood Online: Leukemia gene expression: MLL rearrangements in AML and ALL Scott A. Armstrong Blood 2004 104: 3423-3424. [Full Text] [PDF] This article has been cited by other articles: Y. I. Ingster, C. Pouet, and A. B. Tsybakov Classification of sparse high-dimensional vectors Phil Trans R Soc A, November 13, 2009; 367(1906): 4427 - 4448. [Abstract] [Full Text] [PDF] H. 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