Browse
Submit Data
Databases
API
Help

Dataset Information

25 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Reprogramming identifies functionally distinct stages of clonal evolution in myelodysplastic syndromes.

ABSTRACT: Myeloid neoplasms, including myelodysplastic syndromes (MDS), are genetically heterogeneous disorders driven by clonal acquisition of somatic mutations in hematopoietic stem and progenitor cells (HPCs). The order of premalignant mutations and their impact on HPC self-renewal and differentiation remain poorly understood. We show that episomal reprogramming of MDS patient samples generates induced pluripotent stem cells from single premalignant cells with a partial complement of mutations, directly informing the temporal order of mutations in the individual patient. Reprogramming preferentially captured early subclones with fewer mutations, which were rare among single patient cells. To evaluate the functional impact of clonal evolution in individual patients, we differentiated isogenic MDS induced pluripotent stem cells harboring up to 4 successive clonal abnormalities recapitulating a progressive decrease in hematopoietic differentiation potential. SF3B1, in concert with epigenetic mutations, perturbed mitochondrial function leading to accumulation of damaged mitochondria during disease progression, resulting in apoptosis and ineffective erythropoiesis. Reprogramming also informed the order of premalignant mutations in patients with complex karyotype and identified 5q deletion as an early cytogenetic anomaly. The loss of chromosome 5q cooperated with TP53 mutations to perturb genome stability, promoting acquisition of structural and karyotypic abnormalities. Reprogramming thus enables molecular and functional interrogation of preleukemic clonal evolution, identifying mitochondrial function and chromosome stability as key pathways affected by acquisition of somatic mutations in MDS.

SUBMITTER: Hsu J

PROVIDER: S-EPMC6624967 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

REPROGRAMMING IDENTIFIES FUNCTIONALLY DISTINCT STAGES OF CLONAL EVOLUTION IN MYELODYSPLASTIC SYNDROMES

Project description:As part of this study, we isolated induced pluripotent stem cells (iPSCs) from a patient with TP53-mutant MDS and identified loss of chromosome 5q as a cooperating genetic event. Using RNA sequencing we found that loss of chromosome 5q dysregulates genes that maintain chromosome stability, predisposing TP53-mutant cells to chromosomal rearrangements and progression to complex karyotype.

2019-04-17 | GSE129851 | GEO

REPROGRAMMING IDENTIFIES FUNCTIONALLY DISTINCT STAGES OF CLONAL EVOLUTION IN MYELODYSPLASTIC SYNDROMES

Project description:REPROGRAMMING IDENTIFIES FUNCTIONALLY DISTINCT STAGES OF CLONAL EVOLUTION IN MYELODYSPLASTIC SYNDROMES

| PRJNA533068 | ENA

Clonal evolution in myelodysplastic syndromes.

Project description:Cancer development is a dynamic process during which the successive accumulation of mutations results in cells with increasingly malignant characteristics. Here, we show the clonal evolution pattern in myelodysplastic syndrome (MDS) patients receiving supportive care, with or without lenalidomide (follow-up 2.5-11 years). Whole-exome and targeted deep sequencing at multiple time points during the disease course reveals that both linear and branched evolutionary patterns occur with and without disease-modifying treatment. The application of disease-modifying therapy may create an evolutionary bottleneck after which more complex MDS, but also unrelated clones of haematopoietic cells, may emerge. In addition, subclones that acquired an additional mutation associated with treatment resistance (TP53) or disease progression (NRAS, KRAS) may be detected months before clinical changes become apparent. Monitoring the genetic landscape during the disease may help to guide treatment decisions.

| S-EPMC5530598 | biostudies-literature

Dynamics of clonal evolution in myelodysplastic syndromes.

Project description:To elucidate differential roles of mutations in myelodysplastic syndromes (MDS), we investigated clonal dynamics using whole-exome and/or targeted sequencing of 699 patients, of whom 122 were analyzed longitudinally. Including the results from previous reports, we assessed a total of 2,250 patients for mutational enrichment patterns. During progression, the number of mutations, their diversity and clone sizes increased, with alterations frequently present in dominant clones with or without their sweeping previous clones. Enriched in secondary acute myeloid leukemia (sAML; in comparison to high-risk MDS), FLT3, PTPN11, WT1, IDH1, NPM1, IDH2 and NRAS mutations (type 1) tended to be newly acquired, and were associated with faster sAML progression and a shorter overall survival time. Significantly enriched in high-risk MDS (in comparison to low-risk MDS), TP53, GATA2, KRAS, RUNX1, STAG2, ASXL1, ZRSR2 and TET2 mutations (type 2) had a weaker impact on sAML progression and overall survival than type-1 mutations. The distinct roles of type-1 and type-2 mutations suggest their potential utility in disease monitoring.

| S-EPMC8210656 | biostudies-literature

DNA methylation identifies genetically and prognostically distinct subtypes of myelodysplastic syndromes.

Project description:Recurrent mutations implicate several epigenetic regulators in the early molecular pathobiology of myelodysplastic syndromes (MDS). We hypothesized that MDS subtypes defined by DNA methylation (DNAm) patterns could enhance our understanding of MDS disease biology and identify patients with convergent epigenetic profiles. Bisulfite padlock probe sequencing was used to measure DNAm of ?500?000 unique cytosine guanine dinucleotides covering 140?749 nonoverlapping regulatory regions across the genome in bone marrow DNA samples from 141 patients with MDS. Application of a nonnegative matrix factorization (NMF)-based decomposition of DNAm profiles identified 5 consensus clusters described by 5 NMF components as the most stable grouping solution. Each of the 5 NMF components identified by this approach correlated with specific genetic abnormalities and categorized patients into 5 distinct methylation clusters, each largely defined by a single NMF component. Methylation clusters displayed unique differentially methylated regulatory loci enriched for active and bivalent promoters and enhancers. Two clusters were enriched for samples with complex karyotypes, although only one had an increased number of TP53 mutations. Each of the 3 most frequently mutated splicing factors, SF3B1, U2AF1, and SRSF2, was enriched in different clusters. Mutations of ASXL1, EZH2, and RUNX1 were coenriched in the SRSF2-containing cluster. In multivariate analysis, methylation cluster membership remained independently associated with overall survival. Targeted DNAm profiles identify clinically relevant subtypes of MDS not otherwise distinguished by mutations or clinical features. Patients with diverse genetic lesions can converge on common DNAm states with shared pathogenic mechanisms and clinical outcomes.

| S-EPMC6784525 | biostudies-literature

Clonal diversity of recurrently mutated genes in myelodysplastic syndromes.

Project description:Recent studies suggest that most cases of myelodysplastic syndrome (MDS) are clonally heterogeneous, with a founding clone and multiple subclones. It is not known whether specific gene mutations typically occur in founding clones or subclones. We screened a panel of 94 candidate genes in a cohort of 157 patients with MDS or secondary acute myeloid leukemia (sAML). This included 150 cases with samples obtained at MDS diagnosis and 15 cases with samples obtained at sAML transformation (8 were also analyzed at the MDS stage). We performed whole-genome sequencing (WGS) to define the clonal architecture in eight sAML genomes and identified the range of variant allele frequencies (VAFs) for founding clone mutations. At least one mutation or cytogenetic abnormality was detected in 83% of the 150 MDS patients and 17 genes were significantly mutated (false discovery rate ?0.05). Individual genes and patient samples displayed a wide range of VAFs for recurrently mutated genes, indicating that no single gene is exclusively mutated in the founding clone. The VAFs of recurrently mutated genes did not fully recapitulate the clonal architecture defined by WGS, suggesting that comprehensive sequencing may be required to accurately assess the clonal status of recurrently mutated genes in MDS.

| S-EPMC3736571 | biostudies-literature

Detailed analysis of clonal evolution and cytogenetic evolution patterns in patients with myelodysplastic syndromes (MDS) and related myeloid disorders.

Project description:Clonal cytogenetic evolution (CE) (i.e., acquisition of new chromosomal aberrations over time) is relevant for the progression of myelodysplastic syndromes (MDS). We performed detailed analysis of CE in 729 patients with MDS and related disorders. Patients with CE showed shorter survival (median OS 18.0 versus 53.9 months; P?<?0.01), higher leukemic transformation rate (48.0% versus 21.4%; P?<?0.01) and shorter intervals to leukemic transformation (P?<?0.01). Two main CE patterns were detected: early versus late CE (median onset 5.3 versus 21.9 months; P?<?0.01) with worse survival outcomes for early CE. In the case of CE, del (7q)/-7 (P?=?0.020) and del (17p) (P?=?0.002) were especially unfavorable. Extending the evolution patterns from Tricot et al. (1985) forming five subgroups, prognosis was best (median OS not reached) in patients with "transient clones/changing clone size", whereas those with "CE at diagnosis" showed very poor outcomes (P?<?0.01 for comparison of all). Detailed sequential cytogenetic analysis during follow-up improves prognostication in MDS patients and acknowledges the dynamic biology of the disease. Evidence, time-point, and patterns of cytogenetic clonal evolution should be included into future prognostic scoring systems for MDS.

| S-EPMC5841340 | biostudies-literature

Distinct Patterns of Clonal Evolution Drive Myelodysplastic Syndrome Progression to Secondary Acute Myeloid Leukemia.

Project description:Clonal evolution in myelodysplastic syndrome (MDS) can result in clinical progression and secondary acute myeloid leukemia (sAML). To dissect changes in clonal architecture associated with this progression, we performed single-cell genotyping of paired MDS and sAML samples from 18 patients. Analysis of single-cell genotypes revealed patient-specific clonal evolution and enabled the assessment of single-cell mutational cooccurrence. We discovered that changes in clonal architecture proceed via distinct patterns, classified as static or dynamic, with dynamic clonal architectures having a more proliferative phenotype by blast count fold change. Proteogenomic analysis of a subset of patients confirmed that pathogenic mutations were primarily confined to primitive and mature myeloid cells, though we also identify rare but present mutations in lymphocyte subsets. Single-cell transcriptomic analysis of paired sample sets further identified gene sets and signaling pathways involved in two cases of progression. Together, these data define serial changes in the MDS clonal landscape with clinical and therapeutic implications.SignificancePrecise clonal trajectories in MDS progression are made possible by single-cell genomic sequencing. Here we use this technology to uncover the patterns of clonal architecture and clonal evolution that drive the transformation to secondary AML. We further define the phenotypic and transcriptional changes of disease progression at the single-cell level. See related article by Menssen et al., p. 330 (31). See related commentary by Romine and van Galen, p. 270. This article is highlighted in the In This Issue feature, p. 265.

| S-EPMC9610896 | biostudies-literature

DNA Methylation Identifies Genetically and Prognostically Distinct Subtypes of Myelodysplastic Syndromes

Project description:We report the identification of five subtypes of myelodysplastic syndromes (MDS) identified via unsupervised classification of DNA methylation (DNAm) profiles. Bisulfite padlock probe sequencing (BSPP) was used to measure DNAm of ~500,000 unique CpGs covering 140,749 non-overlapping regulatory regions across the genome in bone marrow DNA samples from 141 patients with MDS. Application of a non-negative matrix factorization (NMF) decomposition of DNAm profiles identified five consensus clusters described by five NMF components as the most stable grouping solution.

2019-09-30 | GSE129828 | GEO

Invariant patterns of clonal succession determine specific clinical features of myelodysplastic syndromes.

Project description:Myelodysplastic syndromes (MDS) arise in older adults through stepwise acquisitions of multiple somatic mutations. Here, analyzing 1809 MDS patients, we infer clonal architecture by using a stringent, the single-cell sequencing validated PyClone bioanalytic pipeline, and assess the position of the mutations within the clonal architecture. All 3,971 mutations are grouped based on their rank in the deduced clonal hierarchy (dominant and secondary). We evaluated how they affect the resultant morphology, progression, survival and response to therapies. Mutations of SF3B1, U2AF1, and TP53 are more likely to be dominant, those of ASXL1, CBL, and KRAS are secondary. Among distinct combinations of dominant/secondary mutations we identified 37 significant relationships, of which 12 affect clinical phenotypes, 5 cooperatively associate with poor prognosis. They also predict response to hypomethylating therapies. The clonal hierarchy has distinct ranking and the resultant invariant combinations of dominant/secondary mutations yield novel insights into the specific clinical phenotype of MDS.

| S-EPMC6879617 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data