ArticleLeukemia2004
Pediatric acute lymphoblastic leukemia (ALL) gene expression signatures classify an independent cohort of adult ALL patients.
Article in Leukemia, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.
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- Trial
- Detection of lung cancer by sensor array analyses of exhaled breath.American journal of respiratory and critical care medicine · 2005Trial
- Immune stress suppresses innate immune signaling in preleukemic precursor B-cells to provoke leukemia in predisposed mice.Nature communications · 2023Article
- Childhood Acute Leukemias in Developing Nations: Successes and Challenges.Current oncology reports · 2021Review
- Predicting host dependency factors of pathogens inComputational and structural biotechnology journal · 2021Article
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- Infectious stimuli promote malignant B-cell acute lymphoblastic leukemia in the absence of AID.Nature communications · 2019Article
- Loss of Pax5 Exploits Sca1-BCR-ABLCancer research · 2018Article
- Comprehensive genomic analysis reveals FLT3 activation and a therapeutic strategy for a patient with relapsed adult B-lymphoblastic leukemia.Experimental hematology · 2016Article
- Emerging technologies in paediatric leukaemia.Translational pediatrics · 2015Review
- Genomic characterization of acute leukemias.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2014Review
- Genome-scale technology driven advances to research into normal and malignant haematopoiesis.Scientifica · 2012Review
- Clinical utility of microarray-based gene expression profiling in the diagnosis and subclassification of leukemia: report from the International Microarray Innovations in Leukemia Study Group.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2010Article
- Quantitative comparison of microarray experiments with published leukemia related gene expression signatures.BMC bioinformatics · 2009Article
- Low representation of Fc receptor-like 1-5 molecules in leukemic cells from Iranian patients with acute lymphoblastic leukemia.Cancer immunology, immunotherapy : CII · 2009Article
- New data on robustness of gene expression signatures in leukemia: comparison of three distinct total RNA preparation procedures.BMC genomics · 2007Article
- Gene expression profiling for the diagnosis of acute leukaemia.British journal of cancer · 2007Review
- Potential of gene expression profiling in the management of childhood acute lymphoblastic leukemia.Paediatric drugs · 2007Review
- A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification.BMC bioinformatics · 2006Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent reports support a possible future application of gene expression profiling for the diagnosis of leukemias. However, the robustness of subtype-specific gene expression signatures has to be proven on independent patient samples. Here, we present gene expression data of 34 adult acute lymphoblastic leukemia (ALL) patients (Affymetrix U133A microarrays). Support Vector Machines (SVMs) were applied to stratify our samples based on given gene lists reported to predict MLL, BCR-ABL, and T-ALL, as well as MLL and non-MLL gene rearrangement positive pediatric ALL. In addition, seven other B-precursor ALL cases not bearing t(9;22) or t(11q23)/MLL chromosomal aberrations were analyzed. Using top differentially expressed genes, hierarchical cluster and principal component analyses demonstrate that the genetically more heterogeneous B-precursor ALL samples intercalate with BCR-ABL-positive cases, but were clearly distinct from T-ALL and MLL profiles. Similar expression signatures were observed for both heterogeneous B-precursor ALL and for BCR-ABL-positive cases. As an unrelated laboratory, we demonstrate that gene signatures defined for childhood ALL were also capable of stratifying distinct subtypes in our cohort of adult ALL patients. As such, previously reported gene expression patterns identified by microarray technology are validated and confirmed on truly independent leukemia patient samples.
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