EGAS00001000175-sc-20120208 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001000106 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) consist of primary myelofibrosis (PMF), polycythemia vera (PV), essential thrombocythemia (ET) In this dataset, we compare the gene expression data of patients JAK2V617F vs. CALR-mutated MPN patients.
2018-10-29 | GSE120362 | GEO
Project description:Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) consist of primary myelofibrosis (PMF), polycythemia vera (PV), essential thrombocythemia (ET) and seconday myelofibrosis (pPV-MF or pET-MF) In this dataset, we compare the gene expression data of bone marrow (BM) or peripheral blood (PB) mononuclear cells of CD34+ cells from JAK2V617F mutated patients vs. healthy donors
2022-08-26 | GSE136335 | GEO
Project description:Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) consist of primary myelofibrosis (PMF), polycythemia vera (PV), essential thrombocythemia (ET) and seconday myelofibrosis (SMF), comprising post-ET-MF(pET-MF) and post-PV-MF(pPV-MF). In this dataset, we compare the gene expression data of bone marrow or peripheral blood mononuclear cells (BMMCs/PBMCs) of CD34+ cells from MPN patients and healthy donors.
2021-11-24 | GSE174060 | GEO
Project description:Myelofibrosis is often associated with the myeloproliferative neoplasms and expression of oncogenic JAK2 mutants. Patients with myelofibrosis have diminished quality of life due to systemic symptoms arising from fibrotic changes in the bone marrow. The introduction of the JAK2 inhibitor, ruxolitinib, has been of benefit in the treatment of myelofibrosis patients however, it is not curative and there is still a requirement for new targeted therapies to eradicate the cells at the heart of myelofibrosis pathology. Repurposing drugs bypasses many of the hurdles present in drug development, such as toxicity and pharmacodynamic profiling. To this end we undertook a re-analysis of our pre-existing proteomic data sets to identify perturbed biochemical pathways and their associated drugs/inhibitors to potentially target the cells driving myelofibrosis. This approach identified CBL0137 as a candidate for targeting JAK2 mutant driven malignancies. We therefore assessed CBL0137 as a new agent to extinguish JAK2 mutant primitive cells and show its ability to preferentially target cells from MF patients compared to healthy control cells. Further we define its mechanistic action in primary haemopoietic progenitor cells and demonstrate its ability to reduce splenomegaly and reticulocyte number in a transgenic murine model of myeloproliferative neoplasms.
2022-08-11 | E-MTAB-11653 | biostudies-arrayexpress
Project description:Polycythemia Vera Myeloproliferative Disease exome sequencing
| EGAD00001000123 | EGA
Project description:Essential Thrombocythemia Myeloproliferative Disease exome sequencing
| EGAD00001000129 | EGA
Project description:Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 50 Primary Myelofibrosis Myeloproliferative Disease samples and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 100 exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.
| EGAS00001000175 | EGA
Project description:Philadelphia-chromosome negative myeloproliferative neoplasms (MPNs) including polycythemia vera, essential thrombocythemia and primary myelofibrosis show an inherent tendency for transformation into leukemia (MPN-blast phase), which is hypothesized to be accompanied by acquisition of additional genomic lesions. We, therefore, examined chromosomal abnormalities by high-resolution single-nucleotide polymorphism (SNP) array in 88 MPN patients, as well as 71 cases with MPN-blast phase, and correlated these findings with their clinical parameters. Frequent genomic alterations were found in MPN after leukemic transformation with up to 3-fold more genomic changes per sample compared to samples in chronic phase (p<0.001). We identified commonly altered regions involved in disease progression including established targets (ETV6, TP53 and RUNX1), as well as new candidate genes on 7q, 16q, 19p and 21q. Moreover, trisomy 8 or amplification of 8q24 (MYC) was almost exclusively detected in JAK2V617F(-) cases with MPN-blast phase. Remarkably, copy-number neutral-loss of heterozygosity (CNN-LOH) on either 7q or 9p including homozygous JAK2V617F was related to decreased survival after leukemic transformation (p=0.01 and p=0.016, respectively). Our high density SNP-array analysis of MPN genomes in the chronic compared to leukemic stage identified novel target genes and provided prognostic insights associated with the evolution to leukemia. Keywords: SNP-chip To identify oncogenic lesions in MPD, we performed a genome-wide analysis of primary MPD samples using high-density SNP arrays (Affymetrix GeneChip).
2010-05-29 | E-GEOD-19647 | biostudies-arrayexpress
Project description:Pancreatic cancer (PC) is the fourth leading cause of cancer death with an overall 5-year survival rate of < 5%, a statistic that has changed little in almost 50 years. A deeper understanding of the underlying molecular pathophysiology is expected to advance the urgent need to develop novel therapeutic and early detection strategies for this disease. Genomic characterisation of PC has previously relied on targeted PCR based exome sequencing of small cohorts of mixed primary and metastatic lesions propagated as xenografts or cell lines (Jones et al, Science 321:1801-1806), leaving the true mutational spectrum of the clinical disease largely unresolved. Here we use exome sequencing (https://www.ebi.ac.uk/ega/studies/EGAS00001000154) and copy number analysis (not submitted) to define genomic aberrations in a prospectively accrued clinical cohort (n = 142) of early (Stage I and II) pancreatic adenocarcinoma. Detailed analysis of 99 informative tumours identified 1982 non-silent mutations and 1628 significant CNV events, and defined 439 significantly mutated genes based on stringent Significant Mutated Gene or GISTIC analysis. Integration with functional data from in vitro shRNA and in vivo Sleeping Beauty-mediated somatic mutagenesis screens provided supportive evidence for 184 of these as candidate driver mutations. Pathway based analysis recapitulated clustering of mutations in core signalling pathways in PC, and identified multiple new components in each, particularly in DNA damage repair mechanisms (ATM, TOP2A, TLM, RPA1). We also identified frequent somatic aberrations in genes involved in novel mechanisms including chromatin modification (SWI/SNF complex members, SETD2, EPC1), and axon guidance (Semaphorin, Slit, Netrin and Ephrin signalling), extending the number of core perturbed pathways in PC. Aberrant expression of axon guidance genes co- segregated with poor patient survival, and in animal models was associated with disease development and progression, further implicating perturbation of the axon guidance pathway as a novel mechanism important in PC. This dataset includes gene expression data from 90 primary tumour samples, 88 of which were used in this manuscript for survival analysis. Much of this data is also available through the International Cancer Genome Consortium (ICGC) Data Portal (http://dcc/icgc.org), under the project code: "Pancreatic Cancer (QCMG, AU)". Access to the strictly restricted clinical data must be made through the ICGC Data Access Compliance Office (http://www.icgc.org/daco). This dataset contains expression array data from 90 primary pancreatic ductal adenocarcinoma samples. One sample is present with two biological replicates, all others have 1 biological replicate.
2012-03-30 | E-GEOD-36924 | biostudies-arrayexpress