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Status |
Public on Aug 28, 2011 |
Title |
Gene expression data from sorted and unsorted primary human acute myeloid leukemia (AML) samples |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
Experiments using xenografts show that some solid tumours and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSC). Despite promise, the relevance of the CSC model to human disease remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model based on sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSC) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSC and HSC, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and also found in existing prognostic signatures. Thus, determinants of stemness influence clinical outcome of AML establishing that LSC are clinically relevant and not mere artifacts of xenotransplantation.
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Overall design |
Analysis of gene expression in FACS sorted AML fractions that were functionally determined to be enriched for LSC or not (25 and 29 respectively).
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Contributor(s) |
Eppert K, Dick JE, Ebert BL |
Citation(s) |
21873988 |
Submission date |
Jul 01, 2011 |
Last update date |
Jan 17, 2017 |
Contact name |
Kolja Eppert |
Organization name |
University Health Network
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Street address |
101 College St., rm 8-301
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City |
Toronto |
State/province |
Ontario |
ZIP/Postal code |
M5G 1L7 |
Country |
Canada |
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Platforms (1) |
GPL3921 |
[HT_HG-U133A] Affymetrix HT Human Genome U133A Array |
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Samples (93)
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This SubSeries is part of SuperSeries: |
GSE30377 |
Human Hematopoietic and Leukemic Stem Cell Gene Expression Profiles |
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Relations |
BioProject |
PRJNA154731 |