Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA296056 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The diagnosis of myelodysplastic syndromes (MDS) remains problematic due to the subjective nature of morphological assessment. The reported high frequency of somatic mutations and increased structural variants by array-based cytogenetics have provided potential objective markers of disease however this has been complicated by reports of similar abnormalities in the healthy population. We aimed to identify distinguishing features between those with early MDS and reported healthy individuals by characterising 69 patients who, following a non-diagnostic marrow, developed progressive dysplasia or acute myeloid leukaemia (AML). Targeted sequencing and array based cytogenetics identified a driver mutation and/or structural variant in 91% (63/69) of pre-diagnostic samples with the mutational spectrum mirroring that in the MDS population. When compared with the reported healthy population the mutations detected had significantly greater median variant allele fraction (40% vs 9-10%) and occurred more commonly with additional mutations (≥2 mutations 64% vs. 8%). Furthermore mutational analysis identified a high-risk group of patients with shorter time to disease progression and poorer overall survival. The mutational features in our cohort are distinct from those seen in the healthy population and, even in the absence of definitive disease, can predict outcome. Early detection may allow consideration of intervention in poor risk patients. We performed array based cytogenetics using HumanCytoSNP-12 (Illumina) on 69 patients diagnosed with acute myeloid leukaemia or myelodysplastic syndrome who had a previously non-diagnostic sample. SNP array analysis was performed on all diagnostic samples. In those with a documented abnormality, SNP-A was performed on the corresponding pre-diagnostic sample (n=32).
2015-09-17 | E-GEOD-73074 | biostudies-arrayexpress
Project description:Myelodysplastic syndromes (MDS) are clonal stem cell disorders driven by heterogeneous genetic alterations leading to variable clinical course. MDS with splicing factor SF3B1 mutations is a distinct subtype with a favorable outcome. However, selected co-mutations induce poor prognosis and how these genetic lesions cooperate in human hematopoietic stem and progenitor cells (HSPCs) during disease progression is still unclear. Here, we integrated clinical and molecular profiling of patients with SF3B1 mutations with gene editing of primary and iPSC-derived human HSPCs to show that high-risk co-mutations impart distinct effects on lineage programs of SF3B1-mutant HSPCs. Secondary RUNX1 or STAG2 mutations were clinically associated with advanced disease and reduced survival. However, RUNX1 and STAG2 mutations induced opposing regulation of myeloid transcriptional programs and differentiation in SF3B1-mutant HSPCs. Moreover, high-risk RUNX1 and STAG2, but not low-risk TET2, mutations expanded distinct SF3B1-mutant HSPC subpopulations. These findings provide evidence that progression from low- to high-risk MDS involves distinct molecular and cellular routes depending on co-mutation patterns.
2025-03-21 | GSE290183 | GEO
Project description:The diagnosis of myelodysplastic syndromes (MDS) remains problematic due to the subjective nature of morphological assessment. The reported high frequency of somatic mutations and increased structural variants by array-based cytogenetics have provided potential objective markers of disease however this has been complicated by reports of similar abnormalities in the healthy population. We aimed to identify distinguishing features between those with early MDS and reported healthy individuals by characterising 69 patients who, following a non-diagnostic marrow, developed progressive dysplasia or acute myeloid leukaemia (AML). Targeted sequencing and array based cytogenetics identified a driver mutation and/or structural variant in 91% (63/69) of pre-diagnostic samples with the mutational spectrum mirroring that in the MDS population. When compared with the reported healthy population the mutations detected had significantly greater median variant allele fraction (40% vs 9-10%) and occurred more commonly with additional mutations (≥2 mutations 64% vs. 8%). Furthermore mutational analysis identified a high-risk group of patients with shorter time to disease progression and poorer overall survival. The mutational features in our cohort are distinct from those seen in the healthy population and, even in the absence of definitive disease, can predict outcome. Early detection may allow consideration of intervention in poor risk patients.
2015-09-17 | GSE73074 | GEO
Project description:Germline heterozygous GATA2 mutations cause GATA2 deficiency, a complex disorder characterized by bone marrow failure, immunodeficiency, and a high risk of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). The disease evolves variably among patients, leading to anxiety for families. Due to phenotypic diversity and clinical overlap, timely diagnosis is often challenging. GATA2 carriers exhibit variable expressivity, with some developing early-onset MDS while others remain asymptomatic, suggesting that genetic and epigenetic factors influence disease progression. While advances in diagnostics through whole-exome sequencing (WES) and whole genome sequencing (WGS) have been made, few epigenetic studies have focused on GATA-related MDS. We present a familial case of four GATA2 carriers, two of whom are asymptomatic and two have developed MDS. Notably, we conducted a longitudinal epigenome analysis of one patient, tracking progression from asymptomatic to MDS, providing key insights with potential clinical applications
2025-04-16 | GSE280776 | GEO
Project description:Germline heterozygous GATA2 mutations cause GATA2 deficiency, a complex disorder characterized by bone marrow failure, immunodeficiency, and a high risk of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). The disease evolves variably among patients, leading to anxiety for families. Due to phenotypic diversity and clinical overlap, timely diagnosis is often challenging. GATA2 carriers exhibit variable expressivity, with some developing early-onset MDS while others remain asymptomatic, suggesting that genetic and epigenetic factors influence disease progression. While advances in diagnostics through whole-exome sequencing (WES) and whole genome sequencing (WGS) have been made, few epigenetic studies have focused on GATA-related MDS. We present a familial case of four GATA2 carriers, two of whom are asymptomatic and two have developed MDS. Notably, we conducted a longitudinal epigenome analysis of one patient, tracking progression from asymptomatic to MDS, providing key insights with potential clinical applications
2025-04-16 | GSE281134 | GEO
Project description:Myelodysplastic syndromes (MDS) are a heterogeneous group of clonal disorders characterized variably by the presence of peripheral cytopenias, bone marrow hypercellularity and dysplastic changes in the bone marrow. While MDS patients have an increased risk of progression to acute myeloid leukemia (AML), most MDS patients actually succumb to progressive bone marrow failure. Amongst patients classified as low-risk MDS, different clinical evolutions have been observed, with some patients remaining relatively stable for long periods of time (herein, stable MDS), while others show more progressive disease, with worsening cytopenias, and often increased transfusion requirements (herein, progressive MDS). Current risk stratification strategies fail to distinguish these two groups at diagnosis. We report here that these distinct behaviors are encoded at the epigenetic level and that examining DNA methylation profiles of low-risk MDS patients captures underlying differences between the two different groups. In this study, we identified 356 differentially methylated regions (DMRs) between stable and progressive low-risk MDS at the time of diagnosis. The number of DMRs was almost doubled at the time of progression (681 follow-up DMRs), and this was accompanied by an increase in the local variability at specific methylation regions, and an increase in heterogeneity over time. These findings reveal previously unrecognized epigenetic heterogeneity in low-risk MDS patients and opens the possibility for using epigenetic differences to help improve risk-stratification at diagnosis.
2020-04-14 | GSE108247 | GEO
Project description:The progressive mechanism of myelodysplastic syndrome (MDS) remains unknown. We report that ROBO1 and ROBO2 are identified as novel progression-related somatic mutations using whole-exome and targeted sequencing in six of 16 (37.5%) paired MDS patients undergoing disease progression. To investigated the effect of ROBO1 or ROBO2 on ROBO1/2 CN number and LOH, we employed a Cytosan 750K chip to analyze the copy-number variations (CNVs) and loss of heterogeneity (LOH) in MDS patients with ROBO1&2 mutations. Copy number and LOH analysis of Affymetrix CytoScan 750K array was performed for 14 MDS patients with ROBO1 or ROBO2 mutations
2015-09-15 | E-GEOD-73005 | biostudies-arrayexpress
Project description:Genome-wide expression and methylation profiling identifies novel targets with aberrant hypermethylation and reduced expression in low-risk myelodysplastic syndromes (MDSs). Gene expression profiling signatures may be used to classify the subtypes of Myelodysplastic syndrome (MDS) patients. However, there are few reports on the global methylation status in MDS. The integration of genome-wide epigenetic regulatory marks with gene expression levels would provide additional information regarding the biological differences between MDS and healthy controls. Gene expression and methylation status were measured using high-density microarrays. A total of 552 differentially methylated CpG loci were identified as being present in low-risk MDS; hypermethylated genes were more frequent than hypomethylated genes. In addition, mRNA expression profiling identified 1005 genes that significantly differed between low-risk MDS and the control group. Integrative analysis of the epigenetic and expression profiles revealed that 66.7% of the hypermethylated genes were underexpressed in low-risk MDS cases. Gene network analysis revealed molecular mechanisms associated with the low-risk MDS group, including altered apoptosis pathways. The two key apoptotic genes BCL2 and ETS1 were identified as silenced genes. In addition, the immune response and micro RNA biogenesis were affected by the hypermethylation and underexpression of IL27RA and DICER1. Our integrative analysis revealed that aberrant epigenetic regulation is a hallmark of low-risk MDS patients and could have a central role in these diseases. Low-risk MDS patients and age-matched controls without haematological malignancies were included in the study. Mononuclear cells were isolated from bone marrow samples of low-risk MDS patients and controls by density gradient (Ficoll). A cohort of 18 patients with low-risk MDS and seven controls were included in a simultaneous integrative study of methylation and expression, while the whole series was used as a control group of expression data.
2012-09-25 | E-GEOD-41130 | biostudies-arrayexpress
Project description:Genome-wide expression and methylation profiling identifies novel targets with aberrant hypermethylation and reduced expression in low-risk myelodysplastic syndromes (MDSs). Gene expression profiling signatures may be used to classify the subtypes of Myelodysplastic syndrome (MDS) patients. However, there are few reports on the global methylation status in MDS. The integration of genome-wide epigenetic regulatory marks with gene expression levels would provide additional information regarding the biological differences between MDS and healthy controls. Gene expression and methylation status were measured using high-density microarrays. A total of 552 differentially methylated CpG loci were identified as being present in low-risk MDS; hypermethylated genes were more frequent than hypomethylated genes. In addition, mRNA expression profiling identified 1005 genes that significantly differed between low-risk MDS and the control group. Integrative analysis of the epigenetic and expression profiles revealed that 66.7% of the hypermethylated genes were underexpressed in low-risk MDS cases. Gene network analysis revealed molecular mechanisms associated with the low-risk MDS group, including altered apoptosis pathways. The two key apoptotic genes BCL2 and ETS1 were identified as silenced genes. In addition, the immune response and micro RNA biogenesis were affected by the hypermethylation and underexpression of IL27RA and DICER1. Our integrative analysis revealed that aberrant epigenetic regulation is a hallmark of low-risk MDS patients and could have a central role in these diseases. Low-risk MDS patients and age-matched controls without haematological malignancies were included in the study. Mononuclear cells were isolated from bone marrow samples of low-risk MDS patients and controls by density gradient (Ficoll). A cohort of 18 patients with low-risk MDS and seven controls were included in a simultaneous integrative study of methylation (using Methylated CpG Island Amplification and Microarrays, MCAM) and expression (using Affymetrix microarrays HG-U133 Plus 2), while the whole series was used as a control group of expression data.
2012-09-28 | E-GEOD-41215 | biostudies-arrayexpress
Project description:Therapy-related myelodysplasia or acute myeloid leukemia (t-MDS/AML) is a lethal complication of cancer treatment. Although t-MDS/AML development is associated with known genotoxic exposures, its pathogenesis is not well understood and methods to predict risk of development of t-MDS/AML in individual cancer survivors are not available. We performed microarray analysis of gene expression in samples from patients who developed t-MDS/AML after autologous hematopoietic cell transplantation (aHCT) for Hodgkin lymphoma (HL) or non-Hodgkin lymphoma (NHL) and controls that did not develop t-MDS/AML after aHCT. CD34+ progenitor cells from peripheral blood stem cell (PBSC) samples obtained pre-aHCT from t-MDS/AML cases and matched controls, and bone marrow (BM) samples obtained at time of development of t-MDS/AML, were studied. Significant differences in gene expression were seen in PBSC obtained pre-aHCT from patients who subsequently developed t-MDS/AML compared to controls. Genetic alterations in pre-aHCT samples were related to mitochondrial function, protein synthesis, metabolic regulation and hematopoietic regulation. Progression to overt t-MDS/AML was associated with additional alterations in DNA repair and DNA-damage checkpoint genes. Altered gene expression in PBSC samples were validated in an independent group of patients. An optimal 63-gene PBSC classifier derived from the training set accurately distinguished patients who did or did not develop t-MDS/AML in the independent test set. These results indicate that genetic programs associated with t-MDS/AML are perturbed long before disease onset, and can accurately identify those at risk of developing this complication.
2011-12-12 | GSE23025 | GEO