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Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling

Cancer Cell · 2002 · Vol. 1(2) · pp. 133–143

Allen Eng Juh Yeoh(St. Jude Children's Research Hospital)Mary Elizabeth Ross(Tennessee Oncology)Sheila Shurtleff(University of Memphis)W. Kent Williams(University of Memphis)Divyen H. Patel(St. Jude Children's Research Hospital)Rami Mahfouz(University of Memphis)Fred G. Behm(University of Memphis)Susana C. Raimondi(University of Memphis)Mary V. Relling(University of Memphis)Anami Patel(University of Memphis)Cheng Cheng(University of Memphis)Dario Campana(Tennessee Oncology)Dawn Wilkins(University of Mississippi)Xiaodong Zhou(University of Mississippi)Jinyan Li(Institute for Infocomm Research)Huiqing Liu(Institute for Infocomm Research)Ching‐Hon Pui(Tennessee Oncology)William E. Evans(University of Memphis)Clayton W. Naeve(St. Jude Children's Research Hospital)Limsoon Wong(Institute for Infocomm Research)James R. Downing✉(Vector Oncology (United States))

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Acute Lymphoblastic Leukemia research Acute Myeloid Leukemia Research Lung Cancer Research StudiesGene expression profilingLymphoblastic LeukemiaLeukemiaDNA microarrayMicroarrayGene expressionGeneBiologyOncologyAcute lymphocytic leukemia

MeSH terms

AlgorithmsChildHumansPrognosisRecurrenceRisk FactorsLeukemia, Myeloid, AcuteImmunophenotypingTreatment FailureComputational BiologyOligonucleotide Array Sequence AnalysisGene Expression ProfilingPrecursor Cell Lymphoblastic Leukemia-Lymphoma

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