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Stem cell gene expression programs influence clinical outcome in human leukemia

Eppert, Kolja ; Takenaka, Katsuto ; Lechman, Eric R ; Waldron, Levi ; Nilsson, Björn LU ; van Galen, Peter ; Metzeler, Klaus H ; Poeppl, Armando ; Ling, Vicki and Beyene, Joseph , et al. (2011) In Nature Medicine 17(9). p.93-1086
Abstract

Xenograft studies indicate that some solid tumors and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSCs). Despite the promise of the CSC model, its relevance in humans remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model on the basis of sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSCs) 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 LSCs and HSCs,... (More)

Xenograft studies indicate that some solid tumors and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSCs). Despite the promise of the CSC model, its relevance in humans remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model on the basis of sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSCs) 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 LSCs and HSCs, revealing the molecular machinery underlying 'stemness' properties. Both stem cell programs were highly significant independent predictors of patient survival and were found in existing prognostic signatures. Thus, determinants of stemness influence the clinical outcome of AML, establishing that LSCs are clinically relevant and not artifacts of xenotransplantation.

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publishing date
type
Contribution to journal
publication status
published
keywords
Animals, Colony-Forming Units Assay, Computational Biology, Flow Cytometry, Gene Expression Regulation, Neoplastic, Hematopoietic Stem Cells, Humans, Leukemia, Myeloid, Acute, Mice, Mice, Inbred NOD, Mice, SCID, Models, Biological, Neoplastic Stem Cells, Xenograft Model Antitumor Assays, Comparative Study, Journal Article, Research Support, Non-U.S. Gov't
in
Nature Medicine
volume
17
issue
9
pages
8 pages
publisher
Nature Publishing Group
external identifiers
  • scopus:80052468964
  • pmid:21873988
ISSN
1546-170X
DOI
10.1038/nm.2415
language
English
LU publication?
no
id
ab36c99f-d51b-4bf7-882f-aec9f7656648
date added to LUP
2016-10-27 13:53:18
date last changed
2024-09-07 22:47:31
@article{ab36c99f-d51b-4bf7-882f-aec9f7656648,
  abstract     = {{<p>Xenograft studies indicate that some solid tumors and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSCs). Despite the promise of the CSC model, its relevance in humans remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model on the basis of sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSCs) 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 LSCs and HSCs, revealing the molecular machinery underlying 'stemness' properties. Both stem cell programs were highly significant independent predictors of patient survival and were found in existing prognostic signatures. Thus, determinants of stemness influence the clinical outcome of AML, establishing that LSCs are clinically relevant and not artifacts of xenotransplantation.</p>}},
  author       = {{Eppert, Kolja and Takenaka, Katsuto and Lechman, Eric R and Waldron, Levi and Nilsson, Björn and van Galen, Peter and Metzeler, Klaus H and Poeppl, Armando and Ling, Vicki and Beyene, Joseph and Canty, Angelo J and Danska, Jayne S and Bohlander, Stefan K and Buske, Christian and Minden, Mark D and Golub, Todd R and Jurisica, Igor and Ebert, Benjamin L and Dick, John E}},
  issn         = {{1546-170X}},
  keywords     = {{Animals; Colony-Forming Units Assay; Computational Biology; Flow Cytometry; Gene Expression Regulation, Neoplastic; Hematopoietic Stem Cells; Humans; Leukemia, Myeloid, Acute; Mice; Mice, Inbred NOD; Mice, SCID; Models, Biological; Neoplastic Stem Cells; Xenograft Model Antitumor Assays; Comparative Study; Journal Article; Research Support, Non-U.S. Gov't}},
  language     = {{eng}},
  month        = {{08}},
  number       = {{9}},
  pages        = {{93--1086}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Nature Medicine}},
  title        = {{Stem cell gene expression programs influence clinical outcome in human leukemia}},
  url          = {{http://dx.doi.org/10.1038/nm.2415}},
  doi          = {{10.1038/nm.2415}},
  volume       = {{17}},
  year         = {{2011}},
}