Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA296056 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Myelodysplastic syndromes (MDS) are heterogeneous myeloid neoplasms with an increased risk of progression to secondary acute myeloid leukemia (sAML). This study investigates the genomic correlates of disease progression in MDS by profiling active genomic regulatory regions and their transcriptional impact through H3K27ac ChIP-seq and RNA-seq analysis on CD34+ bone marrow progenitors cells isolated from a prospective cohort of 86 and 357 patients, respectively. Our analysis revealed distinct patterns of genomic region activation and transcriptional regulation across different disease stages (low-risk MDS, high-risk MDS and sAML). Unexpectedly, unsupervised clustering revealed a subset of low-risk MDS patients displaying regulatory and transcriptional profiles similar to those of high-risk MDS and sAML, highlighting early molecular events that may predispose patients to disease progression. This subset is characterized by PU.1 genomic occupancy in regions linked to immune and inflammatory responses, increased T-cell and NK activation, and a higher frequency of SRSF2 mutations. Clinically, patients in this group exhibit greater susceptibility to infections and cardiovascular events, along with an elevated risk of disease progression, resulting in a significantly reduced overall survival. Functional studies demonstrate that PU.1 inhibition suppresses MDS cell proliferation and clonogenicity, as impaired PU.1 binding inhibits the activation of key transcriptional programs involved in disease advancement. Collectively, these findings identify epigenetic factors that predispose low-risk MDS patients to progression into high-risk MDS and, ultimately, sAML. Moreover, they provide proof of concept for targeting PU.1 as a potential strategy to prevent disease progression in low-risk MDS.
2026-01-29 | GSE297914 | GEO
Project description:Myelodysplastic syndromes (MDS) are heterogeneous myeloid neoplasms with an increased risk of progression to secondary acute myeloid leukemia (sAML). This study investigates the genomic correlates of disease progression in MDS by profiling active genomic regulatory regions and their transcriptional impact through H3K27ac ChIP-seq and RNA-seq analysis on CD34+ bone marrow progenitors cells isolated from a prospective cohort of 86 and 357 patients, respectively. Our analysis revealed distinct patterns of genomic region activation and transcriptional regulation across different disease stages (low-risk MDS, high-risk MDS and sAML). Unexpectedly, unsupervised clustering revealed a subset of low-risk MDS patients displaying regulatory and transcriptional profiles similar to those of high-risk MDS and sAML, highlighting early molecular events that may predispose patients to disease progression. This subset is characterized by PU.1 genomic occupancy in regions linked to immune and inflammatory responses, increased T-cell and NK activation, and a higher frequency of SRSF2 mutations. Clinically, patients in this group exhibit greater susceptibility to infections and cardiovascular events, along with an elevated risk of disease progression, resulting in a significantly reduced overall survival. Functional studies demonstrate that PU.1 inhibition suppresses MDS cell proliferation and clonogenicity, as impaired PU.1 binding inhibits the activation of key transcriptional programs involved in disease advancement. Collectively, these findings identify epigenetic factors that predispose low-risk MDS patients to progression into high-risk MDS and, ultimately, sAML. Moreover, they provide proof of concept for targeting PU.1 as a potential strategy to prevent disease progression in low-risk MDS.
2026-01-29 | GSE304224 | 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. 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 heterogeneous myeloid neoplasms with an increased risk of progression to secondary acute myeloid leukemia (sAML). This study investigates the genomic correlates of disease progression in MDS by profiling active genomic regulatory regions and their transcriptional impact through H3K27ac ChIP-seq and RNA-seq analysis on CD34+ bone marrow progenitors cells isolated from a prospective cohort of 86 and 357 patients, respectively. Our analysis revealed distinct patterns of genomic region activation and transcriptional regulation across different disease stages (low-risk MDS, high-risk MDS and sAML). Unexpectedly, unsupervised clustering revealed a subset of low-risk MDS patients displaying regulatory and transcriptional profiles similar to those of high-risk MDS and sAML, highlighting early molecular events that may predispose patients to disease progression. This subset is characterized by PU.1 genomic occupancy in regions linked to immune and inflammatory responses, increased T-cell and NK activation, and a higher frequency of SRSF2 mutations. Clinically, patients in this group exhibit greater susceptibility to infections and cardiovascular events, along with an elevated risk of disease progression, resulting in a significantly reduced overall survival. Functional studies demonstrate that PU.1 inhibition suppresses MDS cell proliferation and clonogenicity, as impaired PU.1 binding inhibits the activation of key transcriptional programs involved in disease advancement. Collectively, these findings identify epigenetic factors that predispose low-risk MDS patients to progression into high-risk MDS and, ultimately, sAML.
2026-01-29 | GSE298019 | GEO
Project description:Myelodysplastic syndromes (MDS) are heterogeneous myeloid neoplasms with an increased risk of progression to secondary acute myeloid leukemia (sAML). This study investigates the genomic correlates of disease progression in MDS by profiling active genomic regulatory regions and their transcriptional impact through H3K27ac ChIP-seq and RNA-seq analysis on CD34+ bone marrow progenitors cells isolated from a prospective cohort of 86 and 357 patients, respectively. Our analysis revealed distinct patterns of genomic region activation and transcriptional regulation across different disease stages (low-risk MDS, high-risk MDS and sAML). Unexpectedly, unsupervised clustering revealed a subset of low-risk MDS patients displaying regulatory and transcriptional profiles similar to those of high-risk MDS and sAML, highlighting early molecular events that may predispose patients to disease progression. This subset is characterized by PU.1 genomic occupancy in regions linked to immune and inflammatory responses, increased T-cell and NK activation, and a higher frequency of SRSF2 mutations. Clinically, patients in this group exhibit greater susceptibility to infections and cardiovascular events, along with an elevated risk of disease progression, resulting in a significantly reduced overall survival. Functional studies demonstrate that PU.1 inhibition suppresses MDS cell proliferation and clonogenicity, as impaired PU.1 binding inhibits the activation of key transcriptional programs involved in disease advancement. Collectively, these findings identify epigenetic factors that predispose low-risk MDS patients to progression into high-risk MDS and, ultimately, sAML.
2026-01-29 | GSE303742 | GEO
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