Profiling of histone H3 lysine 9 trimethylation levels predicts transcription factor activity and survival in acute myeloid leukemia.

Acute myeloid leukemia (AML) is commonly associated with alterations in transcription factors because of altered expression or gene mutations. These changes might induce leukemia-specific patterns of histone modifications. We used chromatin-immunoprecipitation on microarray to analyze histone 3 lysine 9 trimethylation (H3K9me3) patterns in primary AML (n = 108), acute lymphoid leukemia (n = 28), CD34(+) cells (n = 21) and white blood cells (n = 15) specimens. Hundreds of promoter regions in AML showed significant alterations in H3K9me3 levels. H3K9me3 deregulation in AML occurred preferentially as a decrease in H3K9me3 levels at core promoter regions. The altered genomic regions showed an overrepresentation of cis-binding sites for ETS and cyclic adenosine monophosphate response elements (CREs) for transcription factors of the CREB/CREM/ATF1 family. The decrease in H3K9me3 levels at CREs was associated with increased CRE-driven promoter activity in AML blasts in vivo. AML-specific H3K9me3 patterns were not associated with known cytogenetic abnormalities. But a signature derived from H3K9me3 patterns predicted event-free survival in AML patients. When the H3K9me3 signature was combined with established clinical prognostic markers, it outperformed prognosis prediction based on clinical parameters alone. These findings demonstrate widespread changes of H3K9me3 levels at gene promoters in AML. Signatures of histone modification patterns are associated with patient prognosis in AML.

[1]  S. Bohlander,et al.  Global reduction of the epigenetic H3K79 methylation mark and increased chromosomal instability in CALM-AF10-positive leukemias. , 2009, Blood.

[2]  Xiaobo Xia,et al.  H3K79 methylation profiles define murine and human MLL-AF4 leukemias. , 2008, Cancer cell.

[3]  Michael Q. Zhang,et al.  Combinatorial patterns of histone acetylations and methylations in the human genome , 2008, Nature Genetics.

[4]  Axel Benner,et al.  Mutations and treatment outcome in cytogenetically normal acute myeloid leukemia. , 2008, The New England journal of medicine.

[5]  R. Yeh,et al.  Differentially expressed genes are marked by histone 3 lysine 9 trimethylation in human cancer cells , 2008, Oncogene.

[6]  G. Behre,et al.  Chromatin modifications induced by PML-RARalpha repress critical targets in leukemogenesis as analyzed by ChIP-Chip. , 2008, Blood.

[7]  M. Dugas,et al.  Identification of acute myeloid leukaemia associated microRNA expression patterns , 2007, British journal of haematology.

[8]  A. Shilatifard,et al.  Covalent modifications of histones during development and disease pathogenesis , 2007, Nature Structural &Molecular Biology.

[9]  Jorge Cortes,et al.  Safety and clinical activity of the combination of 5-azacytidine, valproic acid, and all-trans retinoic acid in acute myeloid leukemia and myelodysplastic syndrome. , 2007, Blood.

[10]  Dustin E. Schones,et al.  High-Resolution Profiling of Histone Methylations in the Human Genome , 2007, Cell.

[11]  Peter A. Jones,et al.  The Epigenomics of Cancer , 2007, Cell.

[12]  Daniel G. Tenen,et al.  Transcription factors in myeloid development: balancing differentiation with transformation , 2007, Nature Reviews Immunology.

[13]  R. Tibshirani,et al.  On testing the significance of sets of genes , 2006, math/0610667.

[14]  P. Lásló,et al.  Multilineage Transcriptional Priming and Determination of Alternate Hematopoietic Cell Fates , 2006, Cell.

[15]  Achim Leutz,et al.  Histone H3 tail positioning and acetylation by the c-Myb but not the v-Myb DNA-binding SANT domain. , 2005, Genes & development.

[16]  F. Rosenbauer,et al.  Effect of transcription-factor concentrations on leukemic stem cells. , 2005, Blood.

[17]  J. Ihle,et al.  Regulation of interleukin 7–dependent immunoglobulin heavy-chain variable gene rearrangements by transcription factor STAT5 , 2005, Nature Immunology.

[18]  N. Rao,et al.  The role of CREB as a proto-oncogene in hematopoiesis and in acute myeloid leukemia. , 2005, Cancer cell.

[19]  Guido Marcucci,et al.  Molecular heterogeneity and prognostic biomarkers in adults with acute myeloid leukemia and normal cytogenetics , 2005, Current opinion in hematology.

[20]  Graziano Pesole,et al.  Weeder Web: discovery of transcription factor binding sites in a set of sequences from co-regulated genes , 2004, Nucleic Acids Res..

[21]  J. Kutok,et al.  Acute myeloid leukemia induced by graded reduction of a lineage-specific transcription factor, PU.1 , 2004, Nature Genetics.

[22]  R. Tibshirani,et al.  Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data , 2004, PLoS biology.

[23]  Nicola J. Rinaldi,et al.  Control of Pancreas and Liver Gene Expression by HNF Transcription Factors , 2004, Science.

[24]  J. Rehg,et al.  A transcription-factor-binding surface of coactivator p300 is required for haematopoiesis , 2002, Nature.

[25]  Martin Vingron,et al.  Variance stabilization applied to microarray data calibration and to the quantification of differential expression , 2002, ISMB.

[26]  Andrew J. Bannister,et al.  Selective recognition of methylated lysine 9 on histone H3 by the HP1 chromo domain , 2001, Nature.

[27]  Peter A. Jones,et al.  Epigenetics in cancer. , 2010, Carcinogenesis.

[28]  Yingdong Zhao,et al.  Gene Set Expression Comparison kit for BRB-ArrayTools , 2008, Bioinform..