Refractory anaemia with ring sideroblasts (RARS) and marked thrombocytosis (RARS-T) is a provisional entity in the World Health Organisation 2008 classification and has previously been shown to have a high proportion of JAK2(V617F) (Janus Kinase 2) and SF3B1 (Splicing Factor 3B subunit 1) mutations. The purpose of the present study was to analyse the frequency of SF3B1 mutations in a large cohort of 111 patients with RARS-T and 33 patients with RARS and to explore the prognostic impact of SF3B1 mutational status on RARS-T. The frequency of SF3B1 mutations in RARS-T (96/111, 86.5%) and RARS (28/33, 84.8%) was similar. In RARS-T, median survival was better in SF3B1-mutated patients than in SF3B1-non-mutated patients (6.9 and 3.3 years, respectively, P=0.003). RARS can be differentiated from RARS-T by the frequency of JAK2(V617F) (0% vs 48.6%). In RARS-T patients, SF3B1 (P=0.021) and JAK2 mutations (P=0.016) were independent factors for a better prognosis. Altogether, our results confirm that RARS-T is an independent entity that should be recognised by the next World Health Organisation classification. The assessment of SF3B1 mutations is of prognostic interest in RARS-T patients. Younger age, JAK2(V617F) and SF3B1 mutations are the main predicting factors for survival in RARS-T.

Azacitidine is the first drug to demonstrate a survival benefit for patients with MDS. However, only half of patients respond and almost all patients eventually relapse. Limited and conflicting data are available on predictive factors influencing response. We analyzed 128 patients from two institutions with MDS or AML treated with azacitidine to identify prognostic indicators. Genetic mutations in ASXL1, RUNX1, DNMT3A, IDH1, IDH2, TET2, TP53, NRAS, KRAS, FLT3, KMT2A-PTD, EZH2, SF3B1, and SRSF2 were assessed by next-generation sequencing.With a median follow up of 5.6 years median survival was 1.3 years with a response rate of 49%. The only variable with significant influence on response was del(20q). All 6 patients responded (p = 0.012) but survival was not improved. No other clinical, cytogenetic or molecular marker for response or survival was identified. Interestingly, patients from poor-risk groups as high-risk cytogenetics (55%), t-MDS/AML (54%), TP53 mutated (48%) or relapsed after chemotherapy (60%) showed a high response rate. Factors associated with shorter survival were low platelets, AML vs. MDS, therapy-related disease, TP53 and KMT2A-PTD. In multivariate analysis anemia, platelets, FLT3-ITD, and therapy-related disease remained in the model. Poor-risk factors such as del(7q)/-7, complex karyotype, ASXL1, RUNX1, EZH2, and TP53 did not show an independent impact. Thus, no clear biomarker for response and survival can be identified. Although a number of publications on predictive markers for response to AZA exist, results are inconsistent and improved response rates did not translate to improved survival. Here, we provide a comprehensive overview comparing the studies published to date.

No abstract

No abstract

In order to detect mutations in a gene, either known mutations from human diseases or artificial ones in transgenic animals, or to screen for not yet identified mutations in patients, a method is required which guarantees detection of mutations which might occur in every single position of the whole open reading frame (ORF). It will be shown that a combination of polymerase chain reaction (PCR) and temperature gradient gel electrophoresis (TOGE) fulfills these requirements. By thermodynamic calculations the shift in the gel electrophoresis due to a mutation can be calculated in dependence on the position of the mutation. The theoretical results were tested with the mutations known so far. The quantitative determination of the copy number of a specific DNA or RNA sequence in a biological specimen (quantitative PCR) can be performed precisely and easily by combining PCR and TGGE. The system uses a quantification strategy of a new type of internal standardization. TGGE is applied to separate homo- and heteroduplexes which correspond respectively to standard and template sequences. The accuracy of this quantification strategy is very high, with a variability of < 15%. In addition to quantification, PCR/TGGE detects PCR artifacts and template mutants.

No abstract

No abstract

BackgroundAberrant DNA methylation is frequently found in human malignancies including acute myeloid leukemia (AML). While most studies focus on later disease stages, the onset of aberrant DNA methylation events and their dynamics during leukemic progression are largely unknown.MethodsWe screened genome-wide for aberrant CpG island methylation in three disease stages of a murine AML model that is driven by hypomorphic expression of the hematopoietic transcription factor PU.1. DNA methylation levels of selected genes were correlated with methylation levels of CD34+ cells and lineage negative, CD127-, c-Kit+, Sca-1+ cells; common myeloid progenitors; granulocyte-macrophage progenitors; and megakaryocyte-erythroid progenitors.ResultsWe identified 1,184 hypermethylated array probes covering 762 associated genes in the preleukemic stage. During disease progression, the number of hypermethylated genes increased to 5,465 in the late leukemic disease stage. Using publicly available data, we found a significant enrichment of PU.1 binding sites in the preleukemic hypermethylated genes, suggesting that shortage of PU.1 makes PU.1 binding sites in the DNA accessible for aberrant methylation. Many known AML associated genes such as RUNX1 and HIC1 were found among the preleukemic hypermethylated genes. Nine novel hypermethylated genes, FZD5, FZD8, PRDM16, ROBO3, CXCL14, BCOR, ITPKA, HES6 and TAL1, the latter four being potential PU.1 targets, were confirmed to be hypermethylated in human normal karyotype AML patients, underscoring the relevance of the mouse model for human AML.ConclusionsOur study identified early aberrantly methylated genes as potential contributors to onset and progression of AML.