• Stieglitz et al. (2017). Genome-wide DNA methylation is predictive of outcome in juvenile myelomonocytic leukemia. Nature Communications.
  • Eisfeld et al. (2017). The mutational oncoprint of recurrent cytogenetic abnormalities in adult patients with de novo acute myeloid leukemia. Leukemia.
  • Glass et al. (2017). Epigenetic Identity in AML Depends on Disruption of Nonpromoter Regulatory Elements and Is Affected by Antagonistic Effects of Mutations in Epigenetic Modifiers. Cancer discovery.
  • Döhner et al. (2017). Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood.
  • Ng et al. (2016). A 17-gene stemness score for rapid determination of risk in acute leukaemia. Nature.
  • Dombret, and Gardin (2016). An update of current treatments for adult acute myeloid leukemia. Blood.
  • Guryanova et al. (2016). DNMT3A mutations promote anthracycline resistance in acute myeloid leukemia via impaired nucleosome remodeling. Nature Medicine.
  • Papaemmanuil et al. (2016). Genomic Classification and Prognosis in Acute Myeloid Leukemia. The New England journal of medicine.
  • Grimwade et al. (2016). Molecular landscape of acute myeloid leukemia in younger adults and its clinical relevance. Blood.
  • Garrett-Bakelman et al. (2015). Enhanced reduced representation bisulfite sequencing for assessment of DNA methylation at base pair resolution. Journal of visualized experiments : JoVE.
  • Rampal et al. (2014). DNA hydroxymethylation profiling reveals that WT1 mutations result in loss of TET2 function in acute myeloid leukemia. Cell reports.
  • Li et al. (2014). Dynamic evolution of clonal epialleles revealed by methclone. Genome Biol.
  • Cancer Genome Atlas Research Network et al. (2013). Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. The New England journal of medicine.
  • Thein et al. (2013). Outcome of older patients with acute myeloid leukemia. Cancer.
  • Akalin et al. (2012). Base-pair resolution DNA methylation sequencing reveals profoundly divergent epigenetic landscapes in acute myeloid leukemia. PLoS genetics.
  • Akalin et al. (2012). methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles. Genome Biology.
  • Kulis et al. (2012). Epigenomic analysis detects widespread gene-body DNA hypomethylation in chronic lymphocytic leukemia. Nature Genetics.
  • Sasaki et al. (2012). IDH1(R132H) mutation increases murine haematopoietic progenitors and alters epigenetics. Nature.
  • Welch et al. (2012). The Origin and Evolution of Mutations in Acute Myeloid Leukemia. Cell.
  • Lu et al. (2012). IDH mutation impairs histone demethylation and results in a block to cell differentiation. Nature.
  • Theilgaard-Mönch et al. (2011). Gene expression profiling in MDS and AML: potential and future avenues. Leukemia.
  • Lugthart et al. (2011). Aberrant DNA hypermethylation signature in acute myeloid leukemia directed by EVI1. Blood.
  • Figueroa (2010). Leukemic IDH1 and IDH2 mutations result in a hypermethylation phenotype, disrupt TET2 function, and impair hematopoietic differentiation. Cancer Cell.
  • Cripe et al. (2010). Zosuquidar, a novel modulator of P-glycoprotein, does not improve the outcome of older patients with newly diagnosed acute myeloid leukemia: a randomized, placebo-controlled trial of the Eastern Cooperative Oncology Group 3999. Blood.
  • Miller, and Stamatoyannopoulos (2010). Integrative meta-analysis of differential gene expression in acute myeloid leukemia. PloS one.
  • Figueroa et al. (2010). DNA methylation signatures identify biologically distinct subtypes in acute myeloid leukemia. Cancer cell.
  • Rao et al. (2009). Age-specific differences in oncogenic pathway dysregulation and anthracycline sensitivity in patients with acute myeloid leukemia. Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
  • de Jonge et al. (2009). AML at older age: age-related gene expression profiles reveal a paradoxical down-regulation of p16INK4A mRNA with prognostic significance. Blood.
  • Smith et al. (2009). Future of Cancer Incidence in the United States: Burdens Upon an Aging, Changing Nation. Journal of Clinical Oncology.
  • Klepin, and Balducci (2009). Acute Myelogenous Leukemia in Older Adults. The Oncologist.
  • Wilson et al. (2006). Gene expression profiling of adult acute myeloid leukemia identifies novel biologic clusters for risk classification and outcome prediction. Blood.
  • Valk et al. (2004). Prognostically useful gene-expression profiles in acute myeloid leukemia. The New England journal of medicine.