Gene expression profile (GEP) was analyzed from cultured bone marrow (BM) samples from patients with bortezomib responsive versus bortezomib resistant myeloma after 6-8 hours incubation in vitro with bortezomib 2 g/ml or with PBS. Case D also had a fresh BM sample taken 75 minutes after IV injection of bortezomib.
No associated publication
Specimen part
View SamplesGene expression profile (GEP) was analyzed from cultured bone marrow (BM) samples of patients with lenalidomide-responsive versus lenalidomide-resistant myeloma after 24 hours incubation in vitro with thalidomide (Thal) (0.8 g/ml), lenalidomide (Len) (0.5 g/ml) or with DMSO (control).
No associated publication
Specimen part, Treatment
View SamplesBackground. Multiple myeloma (MM) cells depend on the bone marrow (BM) niche for growth and survival. However, the tumor genes regulated by the niche are largely unknown.
Niche-modulated and niche-modulating genes in bone marrow cells.
Disease, Disease stage, Time
View SamplesGene expression profile (GEP) was analyzed in bone marrow (BM) samples from patients with leukemia or leukemic phase of lymphoma at different time points following aspiration. Among numerous changes in GEP evolved over time a discrete subset of > 60 genes exhibited prompt and sustained switch in expression consistently. Similar results were discovered recently in BM samples from patients with multiple myeloma (GSE36036). GEP was also examined in peripheral blood as well as in BM samples depleted of red blood cells (=WBC) and in cultured cells from some of the patients.
Niche-modulated and niche-modulating genes in bone marrow cells.
Specimen part, Disease
View SamplesA predictive gene list for response to high dose melphalan therapy in patients diagnosed with multiple myeloma is generated by combining results from dose response experiments and microarray data using a B-cell line panel and the introduction of multivariate regression techniques.
Generation of a predictive melphalan resistance index by drug screen of B-cell cancer cell lines.
Cell line
View SamplesWe used microarrays to assess gene expression in patients with ET, PV, and PMF compared to control subjects
Whole-blood transcriptional profiling of interferon-inducible genes identifies highly upregulated IFI27 in primary myelofibrosis.
Specimen part, Disease
View Samplesusing peripheral blood monocytes to identify marker genes for an extensively grown coronary collateral circulation.
Non-invasive gene-expression-based detection of well-developed collateral function in individuals with and without coronary artery disease.
Sex, Age
View SamplesSpecific microRNA (miRNA) signatures have been associated with different cytogenetic subtypes in acute leukemias. This finding prompted us to investigate potential associations between genetic abnormalities in multiple myeloma (MM) and singular miRNA expression profiles. Moreover, global gene expression profiling was also analyzed to find correlated miRNA-gene expression and select miRNA target genes that show such correlation. For this purpose, we analyzed the expression level of 365 miRNAs and the gene expression profiling in sixty newly diagnosed MM patients, selected to represent the most relevant recurrent genetic abnormalities. Supervised analysis showed significantly deregulated miRNAs in the different cytogenetic subtypes as compared to normal PC. Interestingly, miR-1 and miR-133a clustered on the same chromosomal loci, were specifically overexpressed in the cases with t(14;16). The analysis of the relationship between miRNA expression and their respective target genes showed a conserved inverse correlation between several miRNAs deregulated in MM cells and CCND2 expression level. These results illustrate, for the first time, that miRNA expression pattern in MM is associated with genetic abnormalities, and that the correlation of the expression profile of miRNA and their putative mRNA targets is useful to find statistically significant protein-coding genes in MM pathogenesis associated to changes in specific miRNAs.
Deregulation of microRNA expression in the different genetic subtypes of multiple myeloma and correlation with gene expression profiling.
Specimen part, Disease
View SamplesTo identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis.
Gene-expression profiling of peripheral blood mononuclear cells in sepsis.
No sample metadata fields
View SamplesMicroarrays were used to assess gene expression in patients with ET, PV, and PMF before and after treatment with IFNalpha2 in a paired design.
The impact of interferon-alpha2 on HLA genes in patients with polycythemia vera and related neoplasms.
Specimen part, Disease, Disease stage, Treatment
View Samples