A conceptual framework for the identification of candidate drugs and drug targets in acute promyelocytic leukemia
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A conceptual framework for the identification of candidate drugs and drug targets in acute promyelocytic leukemia. / Marstrand, T T; Borup, R; Willer, A; Borregaard, N; Sandelin, Albin Gustav; Porse, B T; Theilgaard-Mönch, K.
In: Leukemia, Vol. 24, No. 7, 07.2010, p. 1265-75.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - A conceptual framework for the identification of candidate drugs and drug targets in acute promyelocytic leukemia
AU - Marstrand, T T
AU - Borup, R
AU - Willer, A
AU - Borregaard, N
AU - Sandelin, Albin Gustav
AU - Porse, B T
AU - Theilgaard-Mönch, K
PY - 2010/7
Y1 - 2010/7
N2 - Chromosomal translocations of transcription factors generating fusion proteins with aberrant transcriptional activity are common in acute leukemia. In acute promyelocytic leukemia (APL), the promyelocytic leukemia-retinoic-acid receptor alpha (PML-RARA) fusion protein, which emerges as a consequence of the t(15;17) translocation, acts as a transcriptional repressor that blocks neutrophil differentiation at the promyelocyte (PM) stage. In this study, we used publicly available microarray data sets and identified signatures of genes dysregulated in APL by comparison of gene expression profiles of APL cells and normal PMs representing the same stage of differentiation. We next subjected our identified APL signatures of dysregulated genes to a series of computational analyses leading to (i) the finding that APL cells show stem cell properties with respect to gene expression and transcriptional regulation, and (ii) the identification of candidate drugs and drug targets for therapeutic interventions. Significantly, our study provides a conceptual framework that can be applied to any subtype of AML and cancer in general to uncover novel information from published microarray data sets at low cost. In a broader perspective, our study provides strong evidence that genomic strategies might be used in a clinical setting to prospectively identify candidate drugs that subsequently are validated in vitro to define the most effective drug combination for individual cancer patients on a rational basis.
AB - Chromosomal translocations of transcription factors generating fusion proteins with aberrant transcriptional activity are common in acute leukemia. In acute promyelocytic leukemia (APL), the promyelocytic leukemia-retinoic-acid receptor alpha (PML-RARA) fusion protein, which emerges as a consequence of the t(15;17) translocation, acts as a transcriptional repressor that blocks neutrophil differentiation at the promyelocyte (PM) stage. In this study, we used publicly available microarray data sets and identified signatures of genes dysregulated in APL by comparison of gene expression profiles of APL cells and normal PMs representing the same stage of differentiation. We next subjected our identified APL signatures of dysregulated genes to a series of computational analyses leading to (i) the finding that APL cells show stem cell properties with respect to gene expression and transcriptional regulation, and (ii) the identification of candidate drugs and drug targets for therapeutic interventions. Significantly, our study provides a conceptual framework that can be applied to any subtype of AML and cancer in general to uncover novel information from published microarray data sets at low cost. In a broader perspective, our study provides strong evidence that genomic strategies might be used in a clinical setting to prospectively identify candidate drugs that subsequently are validated in vitro to define the most effective drug combination for individual cancer patients on a rational basis.
KW - Antineoplastic Agents
KW - Cells, Cultured
KW - Gene Expression Profiling
KW - Granulocyte Precursor Cells
KW - Humans
KW - Leukemia, Promyelocytic, Acute
KW - Oligonucleotide Array Sequence Analysis
KW - Tretinoin
KW - Tumor Markers, Biological
U2 - 10.1038/leu.2010.95
DO - 10.1038/leu.2010.95
M3 - Journal article
C2 - 20508621
VL - 24
SP - 1265
EP - 1275
JO - Leukemia
JF - Leukemia
SN - 0887-6924
IS - 7
ER -
ID: 108151081