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Identification of gene expression profiles that segregate patients with childhood leukemia. Clin Cancer Res 2002 Oct;8(10):3118-30 PMID: 12374679

Pubmed ID

12374679

Abstract

To identify genes whose expression correlated with biological features of childhood leukemia, we prospectively analyzed the expression profiles of 4608 genes using cDNA microarrays in 51 freshly processed bone marrow samples from children with acute leukemia, over a 24-month period, at a single institution. Two supervised methods of analysis were used to identify the 20 best discriminating genes between the following cohorts: acute myelogenous leukemia (AML) versus acute lymphoblastic leukemia (ALL); B-lineage versus T-lineage ALL; newly diagnosed B-lineage standard-risk versus high-risk ALL; and B-lineage leukemia harboring the TEL-AML 1 fusion versus patients without a molecularly characterized translocation. These methods identified overlapping sets of genes that segregated patients within described subgroups. Cross-validation demonstrated that the majority of patients could be correctly classified based on these genes alone, and hierarchical clustering grouped patients with similar clinical and biological disease features. The potential for select genes to discriminate patients was validated using real-time PCR in samples that were analyzed by microarray profiling and in other uniformly processed leukemic marrow samples. As expected, microarray technology can successfully segregate patients defined by traditional measures such as immunophenotype and cytogenetic alterations. However, among specific subgroups, this preliminary analysis also suggests that microarrays can identify unanticipated similarities and diversity in individual patients and thus may be useful in augmenting risk-group stratification in the future.

Author List

Moos PJ, Raetz EA, Carlson MA, Szabo A, Smith FE, Willman C, Wei Q, Hunger SP, Carroll WL

Author

Aniko Szabo PhD Associate Professor in the Institute for Health and Equity department at Medical College of Wisconsin




Scopus

2-s2.0-0036795905   80 Citations

MESH terms used to index this publication - Major topics in bold

Child
Chromosome Aberrations
Core Binding Factor Alpha 2 Subunit
DNA Primers
DNA, Neoplasm
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Karyotyping
Leukemia, Myeloid, Acute
Leukocytes
Oligonucleotide Array Sequence Analysis
Oncogene Proteins, Fusion
Precursor Cell Lymphoblastic Leukemia-Lymphoma
RNA, Messenger
RNA, Neoplasm
Reverse Transcriptase Polymerase Chain Reaction
Risk Factors
jenkins-FCD Prod-299 9ef562391eceb2b8f95265c767fbba1ce5a52fd6