High erythroferrone expression in CD71+ erythroid progenitors predicts superior survival in myelodysplastic syndromes.

Ineffective erythropoiesis and iron overload are common in myelodysplastic syndromes (MDS). Erythroferrone (ERFE) and growth/differentiation factor 15 (GDF15) are two regulators of iron homeostasis produced by erythroid progenitors. Elevated systemic levels of ERFE and GDF15 in MDS are associated with dysregulated iron metabolism and iron overload, which is especially pronounced in MDS with SF3B1 gene mutations. However, the role of ERFE and GDF15 in MDS pathogenesis and their influence on disease progression are largely unknown. Here, we analyzed the expression of ERFE and GDF15 in CD71+ erythroid progenitors of n = 111 MDS patients and assessed their effects on patient survival. The expression of ERFE and GDF15 in MDS was highly aberrant. Unexpectedly, ERFE expression in erythroprogenitors was highly relevant for MDS prognosis and independent of International Prognostic Scoring System (IPSS) stratification. Although ERFE expression was increased in patients with SF3B1 mutations, it predicted overall survival (OS) in both the SF3B1wt and SF3B1mut subgroups. Of note, ERFE overexpression predicted superior OS in the IPSS low/Int-1 subgroup and in patients with normal karyotype. Similar observations were made for GDF15, albeit not reaching statistical significance. In summary, our results revealed a strong association between ERFE expression and MDS outcome, suggesting a possible involvement of ERFE in molecular MDS pathogenesis.

Mutational hierarchies in myelodysplastic syndromes dynamically adapt and evolve upon therapy response and failure.

Clonal evolution is believed to be a main driver for progression of various types of cancer and implicated in facilitating resistance to drugs. However, the hierarchical organization of malignant clones in the hematopoiesis of myelodysplastic syndromes (MDS) and its impact on response to drug therapy remain poorly understood. Using high-throughput sequencing of patient and xenografted cells, we evaluated the intratumoral heterogeneity (n= 54) and reconstructed mutational trajectories (n = 39) in patients suffering from MDS (n = 52) and chronic myelomonocytic leukemia-1 (n = 2). We identified linear and also branching evolution paths and confirmed on a patient-specific level that somatic mutations in epigenetic regulators and RNA splicing genes frequently constitute isolated disease-initiating events. Using high-throughput exome- and/or deep-sequencing, we analyzed 103 chronologically acquired samples from 22 patients covering a cumulative observation time of 75 years MDS disease progression. Our data revealed highly dynamic shaping of complex oligoclonal architectures, specifically upon treatment with lenalidomide and other drugs. Despite initial clinical response to treatment, patients' marrow persistently remained clonal with rapid outgrowth of founder-, sub-, or even fully independent clones, indicating an increased dynamic rate of clonal turnover. The emergence and disappearance of specific clones frequently correlated with changes of clinical parameters, highlighting their distinct and far-reaching functional properties. Intriguingly, increasingly complex mutational trajectories are frequently accompanied by clinical progression during the course of disease. These data substantiate a need for regular broad molecular monitoring to guide clinical treatment decisions in MDS.

Skewed X-inactivation patterns in ageing healthy and myelodysplastic haematopoiesis determined by a pyrosequencing based transcriptional clonality assay.

BACKGROUND: Investigation of X-chromosome inactivation patterns (XCIP) by determination of differential CpG-methylation has been widely applied for investigation of female cell clonality. Using this approach the clonal origin of various tumours has been corroborated. Controversially, strong age-related increase of peripheral blood (PB) cell clonality in haematologically healthy female subjects was reported. Recently, transcriptional XCIP ratio analysis challenged these results and questioned the suitability of methylation based clonality assays. METHODS: To reinvestigate XCIP-skewing in CD34, low-density mononuclear bone marrow (BM) as well as PB cells from healthy female subjects and patients with myelodysplastic syndromes (MDS), we established a transcriptional assay using pyrosequencing technique for quantification of single nucleotide polymorphism allele frequencies, representative for XCIP ratios. RESULTS: Our assay provides high sensitivity for XCIP ratio assessment as determined by standard curves, reproducibility, inter-marker correlation as well as correlation with the DNA-methylation based human androgen receptor (HUMARA) assay. Notably, in agreement with most studies investigating this issue, significant age-related increase of XCIP skewing in PB cells from healthy elderly female subjects was confirmed. Moreover, XCIP ratio analysis suggests even stronger clonal manifestation in BM and CD34 cells. In MDS, XCIP skewing levels were distinctively elevated as compared with controls of similar age and higher degrees were associated with poor clinical outcome. CONCLUSIONS: Transcriptional clonal profiling via pyrosequencing allows accurate assessment of XCIP ratios, confirms the validity of the DNA-methylation based HUMARA assay and reveals important insights into ageing healthy and myelodysplastic haematopoiesis.

Tissue inhibitor of metalloproteinases-1, -2, and -3 polymorphisms in a white population with intracranial aneurysms.

BACKGROUND AND PURPOSE: Remodeling of the extracellular matrix seems to be a crucial event in the pathogenesis of cerebral aneurysms. Matrix metalloproteinases are the most important degrading enzymes in the extracellular matrix. Their activity is controlled predominantly by tissue inhibitors of metalloproteinases (TIMPs). To investigate the possible impact of genetic variants within the genes encoding TIMP-1, -2, and -3, we conducted this case-control study. METHODS: A study sample was analyzed that comprised 44 patients with intracranial aneurysms and 44, 41, and 40 controls for the analysis of TIMP-1, -2, and -3, respectively. Differences in genotype and allele frequencies of identified polymorphisms were determined. The entire coding regions and parts of the promoter sequences of the TIMP-1, -2, and -3 genes were with using the automated laser fluorescence technique. RESULTS: Nine polymorphisms were identified, 3 located in TIMP-1 (-19C>T, 261C>T, 372T>C), 4 in TIMP-2 (-621C>T, -596A>C, -261G>A, 303G>A), and 2 in TIMP-3 (249T>C, 261C>T), whereas -621C>T, -596A>C, and -261G>A of the TIMP-2 gene are newly identified polymorphisms. We detected no deviation from Hardy-Weinberg equilibrium in any of the groups. The C allele of the 372T>C polymorphism was more frequently found in female than in male controls (exact nominal P=0.0012). However, this finding could not be validated by analysis of a second sample of 113 controls (exact nominal P=1.0000). There were no differences in genotype and allele frequencies between any of the other groups. CONCLUSIONS: Our analysis of the entire coding region of 3 TIMPs, which are the main inhibitors of metalloproteinase activity in the extracellular matrix, failed to show an association between genetic polymorphisms and an intracranial aneurysm. These data do not support the hypothesis that genetic variants within these genes have an impact on aneurysm development in the white population.