A conceptual framework for the identification of candidate drugs and drug targets in acute promyelocytic leukemia

被引:18
作者
Marstrand, T. T. [2 ]
Borup, R.
Willer, A. [3 ]
Borregaard, N. [4 ]
Sandelin, A. [2 ]
Porse, B. T. [1 ,3 ]
Theilgaard-Monch, K. [1 ,3 ,5 ]
机构
[1] Univ Copenhagen, Lab Gene Therapy Res, Biotech Res & Innovat Ctr, Copenhagen Bioctr, DK-2200 Copenhagen N, Denmark
[2] Univ Copenhagen, Dept Biol, Bioinformat Ctr, DK-2200 Copenhagen N, Denmark
[3] Univ Copenhagen, Dept Clin Biochem, Rigshosp, Lab Gene Therapy Res, DK-2200 Copenhagen N, Denmark
[4] Univ Copenhagen, Dept Hematol, Granulocyte Res Lab, Rigshosp, DK-2200 Copenhagen N, Denmark
[5] Lund Univ, Univ Lund Hosp, Dept Hematol, Lund, Sweden
基金
欧洲研究理事会; 英国医学研究理事会;
关键词
AML; stemness; drug discovery; gene expression profiling; connectivity MAP(CMAP); gene set enrichment analysis (GSEA); ACUTE MYELOID-LEUKEMIA; HISTONE DEACETYLASE INHIBITORS; NF-KAPPA-B; RETINOIC ACID; PHOSPHOLIPASE A(2); CONNECTIVITY MAP; SELF-RENEWAL; C/EBP-ALPHA; STEM-CELLS; TRANSCRIPTION;
D O I
10.1038/leu.2010.95
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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. Leukemia (2010) 24, 1265-1275; doi:10.1038/leu.2010.95; published online 27 May 2010
引用
收藏
页码:1265 / 1275
页数:11
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