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HSC commitment–associated epigenetic signature is prognostic in acute myeloid leukemia
Boris Bartholdy, … , Amit Verma, Ulrich Steidl
Boris Bartholdy, … , Amit Verma, Ulrich Steidl
Published February 3, 2014
Citation Information: J Clin Invest. 2014;124(3):1158-1167. https://doi.org/10.1172/JCI71264.
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Research Article Oncology

HSC commitment–associated epigenetic signature is prognostic in acute myeloid leukemia

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Abstract

Acute myeloid leukemia (AML) is characterized by disruption of HSC and progenitor cell differentiation. Frequently, AML is associated with mutations in genes encoding epigenetic modifiers. We hypothesized that analysis of alterations in DNA methylation patterns during healthy HSC commitment and differentiation would yield epigenetic signatures that could be used to identify stage-specific prognostic subgroups of AML. We performed a nano HpaII-tiny-fragment-enrichment-by-ligation-mediated-PCR (nanoHELP) assay to compare genome-wide cytosine methylation profiles between highly purified human long-term HSC, short-term HSC, common myeloid progenitors, and megakaryocyte-erythrocyte progenitors. We observed that the most striking epigenetic changes occurred during the commitment of short-term HSC to common myeloid progenitors and these alterations were predominantly characterized by loss of methylation. We developed a metric of the HSC commitment–associated methylation pattern that proved to be highly prognostic of overall survival in 3 independent large AML patient cohorts, regardless of patient treatment and epigenetic mutations. Application of the epigenetic signature metric for AML prognosis was superior to evaluation of commitment-based gene expression signatures. Together, our data define a stem cell commitment–associated methylome that is independently prognostic of poorer overall survival in AML.

Authors

Boris Bartholdy, Maximilian Christopeit, Britta Will, Yongkai Mo, Laura Barreyro, Yiting Yu, Tushar D. Bhagat, Ujunwa C. Okoye-Okafor, Tihomira I. Todorova, John M. Greally, Ross L. Levine, Ari Melnick, Amit Verma, Ulrich Steidl

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Figure 1

Hypomethylation during HSC commitment to hematopoietic progenitors.

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Hypomethylation during HSC commitment to hematopoietic progenitors.
(A) ...
(A) Genome-wide changes in DNA methylation during HSC commitment. Red dots represent loci with significantly lower methylation at the developmentally later stage, i.e., loci demethylated during the respective transition (P < 0.05, t test). (B) Significant changes in DNA cytosine methylation at the transition from LTHSC to STHSC (outer circle), STHSC to CMP (middle circle), and CMP to MEP (inner circle) are plotted in relation to the genomic position. Chromosomes are plotted along the ideogram. Red bars denote significantly demethylated loci; green bars denote significant increase in methylation at the respective loci. (C) SAM was used to define an epigenetic signature based on loci that undergo the most significant methylation changes during HSPC differentiation. The epigenetic signature (561 loci) distinguishes HSPC subsets in hierarchical clustering analysis. Log2-transformed HpaII/MspI ratios (color code next to the heat map) of all 561 loci are shown for the 4 analyzed differentiation stages (indicated above the heat map) from 3 healthy human individuals. Trees result from Euclidean clustering of this signature. Associated genes are listed in Supplemental Table 4. (D) Ingenuity pathway analysis highlights functional implications of gene enrichment analysis of the epigenetic stem cell commitment-associated signature. 62 genes significantly associated (P < 0.05 after Benjamini-Hochberg correction) with Ingenuity “Top bio functions” were entered into pathway generation. Top 5 “Canonical pathways” (“AML signaling,” “Molecular mechanisms of cancer,” “Glioblastoma multiforme signaling,” “Pancreatic adenocarcinoma signaling,” “Glucocorticoid receptor signaling”) and the top 3 characteristics of “Function and disease” (“Differentiation of blood cells” [P = 8.39 × 10–43], “Lymphohematopoietic cancer” [P = 3.2 × 10–12], “AML” [P = 2.47 × 10–6], and “Cell transformation” [P = 1.41 × 10–12]) are depicted.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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