Greally, John M.

Abstract Chronic idiopathic myelofibrosis (MF) is a clonal hematopoietic disorder that leads to progressive marrow fibrosis and peripheral cytopenias. Very little is known about the role of aberrant DNA methylation in the pathobiology of this disease. Whole genome methylation was analyzed by a recently described novel method, the HELP assay (HpaII tiny fragment Enrichment by Ligation-mediated PCR; Khulan et al, Genome Res. 2006 Aug;16(8)) that uses differential methylation specific restriction digestion by HpaII and MspI followed by amplification, two color labeling and cohybridization to quantitatively determine individual promoter methylation. A whole genome human promoter array (Nimblegen) was used to determine the level of methylation of 25626 gene promoters by calculating HpaII/MspI cut fragment intensity ratio. Peripheral blood leucocytes from 9 patients with IMF were compared to 9 age-matched normal and anemic controls. Gene expression analysis was performed using 37K oligo maskless arrays using cDNA from the same samples. Methylation analysis showed that myelofibrosis samples clustered separately from normal and anemic controls when grouped by unsupervised clustering based on Pearson’s correlation coefficient. On the other hand, global gene expression demonstrated no clear cut differences between myelofibrosis and control samples suggesting that methylation profiling has greater discriminatory power when compared to conventional gene expression profiling. A high correlation (r=0.88–0.96) was observed between whole genome methylation profiles of matched sets of bone marrow and peripheral blood leucocyte samples from selected patients demonstrating that peripheral blood leucocytes can act as a valid surrogates for epigenomic analysis. Further analysis showed that genes aberrantly methylated in all myelofibrosis samples included v-myc, histone 2A, TNF, TNF Receptor1, FGF14 and others. Functional pathway analysis by Ingenuity showed that pathways involved in Inflammation and Cell signaling were the most affected by epigenetic silencing. Most interestingly, a large proportion of gene promoters were also aberrantly hypomethylated. These included genes for chemokine CXCL13, APC, IL-3, STAT2 and others. The pathways most activated by hypomethylation were involved in hematopoiesis and cell growth and proliferation demonstrating the biological validity of our analysis. Thus, our data demonstrates that myelofibrosis is characterized by distinct epigenetic aberrations that are preserved in peripheral blood leucocytes. These can be the basis of future studies on pathogenesis and diagnosis for this disease and lead to translational studies with agents targeting DNA methylation.

Abstract Abstract 627 Myeloproliferative diseases (MPD) are clonal hematologic disorders that present with increased numbers of functional, mature, terminally differentiated myeloid elements. Even though genetic, biochemical and functional studies have provided important insights into the pathogenesis of MPDs, the role of epigenetic changes in disease pathobiology is not well elucidated. We performed the HELP assay to study genome-wide methylation patterns in cases of Polycythemia Vera (PV), Essential Thrombocytosis (ET) and Idiopathic Myelofibrosis (IMF) and compared it with normal matched controls. The HELP assay uses differential methylation specific digestion by HpaII and MspI followed by amplification, two color labeling and hybridization to quantitatively determine individual promoter CpG methylation of 25636 loci. Analysis of 26 MPD neutrophil samples comprising 9 cases of ET, 6 cases of PV and 11 Cases of IMF was performed and compared to normal healthy controls. Unsupervised clustering based on global methylation profiles showed that IMF cases formed a distinct epigenetic cluster, while PV and ET cases were more similar to the normal controls. Further analysis of epigenetic differences between these groups showed that PV and ET samples were characterized by aberrant hypermethylation when compared to controls and had 143 genes that were uniformly hypermethylated. These genes are involved in pathways regulated by the NF-Kb and HNF-4alpha transcription factors. IMF on the other hand was characterized by both aberrantly hyper (n=162) and hypomethylated (n=95) loci when compared to controls. The pathways affected by hypomethylated genes were involved in cytokine cell signaling and MAP kinases. We subsequently validated these observations in an independent set of 8 IMF cases compared to 8 age matched controls. Methylation profiles obtained from whole blood by the HELP assay were able to clearly separate IMF cases from controls demonstrating the validity of our observations. These changes were quantified on a whole genome level by the Luminometric methylation assay (LUMA) that also revealed significantly more hypomethylation in IMF when compared to PV and ET cases (49% hypomethylation in IMF vs. 38% in PV/ET, p<0.05). Selected changes were validated by Mass Array sequencing. We next wanted to determine the epigenomic effects of Jak2V617F mutation and compared methylation profiles of MPD cases with and without the mutation. We observed that cases with Jak2 mutation had a higher number of differentially hypomethylated loci. This striking difference was seen by the LUMA assay also with 67% hypomethylation seen in mutant cases when compared to 48% in those without the mutation (p=0.02). This observation was validated in vitro in a cell line (FDCP) that expressed wither WT or mutant Jak2 kinase. We observed that expression of the mutant kinase led to global hypomethylation. This observation builds on recent data demonstrating nuclear binding of the mutant Jak2 kinase and its effects on the histone epigenetic machinery. In conclusion, we report that MPDs are characterized by various novel epigenetic alterations that affect important functional pathways and IMF is grossly epigenetically distinct from ET and PV. The Jak2 mutation also affects the methylome and leads to global hypomethylation that potentially contributes to the genomic instability and disease pathobiology. Disclosures: No relevant conflicts of interest to declare.

Abstract Even though mutations in epigenetic regulators frequently occur in myeloproliferative neoplasms, their effects on the epigenome have not been well studied. Furthermore, even though primary myelofibrosis (PMF) has a markedly worse prognosis than essential thrombocytosis or polycythemia vera, the molecular distinctions between these subgroups are not well elucidated. We conducted the HELP (HpaII tiny fragment enriched by LM-PCR) assay to study genome-wide methylation in polycythemia vera, essential thrombocytosis, and PMF samples compared with healthy controls. We determined that polycythemia vera and essential thrombocytosis are characterized by aberrant promoter hypermethylation, whereas PMF is an epigenetically distinct subgroup characterized by both aberrant hyper- and hypomethylation. Aberrant hypomethylation in PMF was seen to occur in non-CpG island loci, showing further qualitative differences between the disease subgroups. The differentially methylated genes in polycythemia vera and essential thrombocytosis were involved predominantly in cell signaling pathways and were enriched for binding sites of GATA1 and other transcription factors. In contrast, aberrantly methylated genes in PMF were involved in inflammatory pathways and were enriched for NF1, LEF1, and other transcription factors. Within the PMF subgroup, cases with ASXL1 disruptions formed an epigenetically distinct subgroup with relatively increased methylation. Cases of myeloproliferative neoplasms (MPN) with TET2 mutations showed decreased levels of hydroxymethylation and distinct set of hypermethylated genes. In contrast, the JAK2V617F mutation did not drive epigenetic clustering within MPNs. Finally, the significance of aberrant methylation was shown by sensitivity of MPN-derived cell lines to decitabine. These results show epigenetic differences between PMF and polycythemia vera/essential thrombocytosis and reveal methylomic signatures of ASXL1 and TET2 mutations. Cancer Res; 73(3); 1076–85. ©2012 AACR.