Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genomic and Clinical Findings in Myeloid Neoplasms with PDGFRB Rearrangement [seq]

ABSTRACT: Here we characterized a series of 14 cases with myeloid neoplasms using cytogenetic, single nucleotide polymorphism array, and next generation sequencing.

ORGANISM(S): Homo sapiens

PROVIDER: GSE182817 | GEO | 2021/12/23

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Affymetrix SNP array data for Myeloid Neoplasms with PDGFRB Rearrangement

Project description:Here we characterized a series of cases with myeloid neoplasms using cytogenetic, single nucleotide polymorphism array, and next generation sequencing.

2021-12-23 | GSE182785 | GEO

Genomic and Clinical Findings in Myeloid Neoplasms with PDGFRB Rearrangement

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-12-23 | GSE182820 | GEO

Genomic and Clinical Findings in Myeloid Neoplasms with PDGFRB Rearrangement

Project description:Genomic and Clinical Findings in Myeloid Neoplasms with PDGFRB Rearrangement

| PRJNA757976 | ENA

Genomic and clinical findings in myeloid neoplasms with PDGFRB rearrangement.

Project description:Platelet-derived growth factor receptor B (PDGFRB) gene rearrangements define a unique subgroup of myeloid and lymphoid neoplasms frequently associated with eosinophilia and characterized by high sensitivity to tyrosine kinase inhibition. To date, various PDGFRB/5q32 rearrangements, involving at least 40 fusion partners, have been reported. However, information on genomic and clinical features accompanying rearrangements of PDGFRB is still scarce. Here, we characterized a series of 14 cases with a myeloid neoplasm using cytogenetic, single nucleotide polymorphism array, and next-generation sequencing. We identified nine PDGFRB translocation partners, including the KAZN gene at 1p36.21 as a novel partner in a previously undescribed t(1;5)(p36;q33) chromosome change. In all cases, the PDGFRB recombination was the sole cytogenetic abnormality underlying the phenotype. Acquired somatic variants were mainly found in clinically aggressive diseases and involved epigenetic genes (TET2, DNMT3A, ASXL1), transcription factors (RUNX1 and CEBPA), and signaling modulators (HRAS). By using both cytogenetic and nested PCR monitoring to evaluate response to imatinib, we found that, in non-AML cases, a low dosage (100-200 mg) is sufficient to induce and maintain longstanding hematological, cytogenetic, and molecular remissions.

| S-EPMC8742810 | biostudies-literature

Genomic and Clinical Findings in Myeloid Neoplasms with PDGFRB Rearrangement [seq]

Project description:Genomic and Clinical Findings in Myeloid Neoplasms with PDGFRB Rearrangement [seq]

| PRJNA757978 | ENA

Nanopore Sequencing for the screening of Myeloid and Lymphoid neoplasms with eosinophilia and rearrangement of PDGFRa, PDGFRb, FGFR1 or PCM1-JAK2.

Project description:Primary Eosinophilic Disorders (PED) represent a group of diseases with heterogeneous pathophysiology and diversified clinical phenotypes. Among the clonal alterations found in PED, gene fusions involving PDGFR, PDGFR, FGFR1 or JAK2 cluster in the WHO category of myeloid and lymphoid neoplasms with eosinophilia. The heterogeneous nature of genomic aberrations and the promiscuity of fusion partners, may limit the diagnostic accuracy of conventional cytogenetic approaches. To address such technical challenges, we exploited a nanopore-based sequencing platform to screen a cohort of patients referred for the characterization of a PED. We show that nanopore sequencing enables fast (within 60 hours) and precise identification of genomic fusion events, starting from whole blood DNA.

2022-01-01 | GSE185446 | GEO

Affymetrix SNP array data for Myeloid Neoplasms with PDGFRB Rearrangement

Project description:Affymetrix SNP array data for Myeloid Neoplasms with PDGFRB Rearrangement

| PRJNA757780 | ENA

Copy Number Analysis of Renal Epithelial Neoplasms

Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations. Keywords: Chromosome copy number and LOH analysis with SNP Genotyping Arrays

2008-01-24 | GSE9469 | GEO

Genotyping and copy number analysis of human renal epithelial neoplasms

Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations. Experiment Overall Design: We analyzed 20 paraffin-embedded tissues representing conventional renal cell carcinoma (RCC), papillary RCC, chromophobe RCC, and oncocytoma with Affymetrix GeneChip 10K 2.0 Mapping arrays.

2008-04-10 | E-GEOD-9469 | biostudies-arrayexpress

<i>IGH</i> rearrangement in myeloid neoplasms.

Project description: Not available

| S-EPMC7271583 | biostudies-literature