| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Gudgin, Emma J Huntly, Brian JP |
| Abstract | In a recent interesting article, analysis of gene expression between phenotypically defined acute myeloid leukemia (AML) leukemia stem cells (LSCs) and more mature leukemia progenitor cells is used to generate a differentially expressed gene signature for LSCs. Through clever bioinformatic weighting analysis, the authors describe a method to convert this signature into a single score for any given sample and then test the prognostic utility of this 'LSC score' in publicly available gene expression profiles from bulk AML samples. They demonstrate that a high LSC score is associated with poor prognosis in AML patients and further demonstrate that the score is independent of known prognostic factors, including age, karyotype and mutation of the FLT3 or NPM1 genes. These findings are important and directly relate transcriptional dysregulation in AML LSCs with the outcome in patient samples, thus reinforcing the belief that these cellular populations are crucial for the initial propagation and subsequent relapse and resistance of leukemia. |
| Related Links | https://stemcellres.biomedcentral.com/counter/pdf/10.1186/scrt62.pdf |
| Ending Page | 3 |
| Page Count | 3 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17576512 |
| DOI | 10.1186/scrt62 |
| Journal | Stem Cell Research & Therapy |
| Issue Number | 2 |
| Volume Number | 2 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2011-04-27 |
| Access Restriction | Open |
| Subject Keyword | Stem Cells Cell Biology Regenerative Medicine Tissue Engineering Biomedical Engineering and Bioengineering Acute Myeloid Leukemia Cancer Stem Cell Acute Myeloid Leukemia Patient Leukemia Stem Cell Acute Myeloid Leukemia Case Regenerative Medicine/Tissue Engineering |
| Content Type | Text |
| Subject | Cell Biology Medicine Biochemistry, Genetics and Molecular Biology Molecular Medicine |
| Journal Impact Factor | 7.1/2023 |
| 5-Year Journal Impact Factor | 7.9/2023 |
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