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accession-icon GSE58133
Expression data from BM-CD138+, obtained from newly diagnosed Multiple Myeloma patients
  • organism-icon Homo sapiens
  • sample-icon 106 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A subanalysis of the GIMEMA-MMY-3006 trial was performed to characterize treatment-emergent peripheral neuropathy (PN) in patients randomized to thalidomide-dexamethasone (TD) or bortezomib-TD (VTD) before and after double autologous transplantation (ASCT) for multiple myeloma (MM). 236 patients randomized to VTD and 238 to TD were stratified according to the emergence of grade 2 PN. Gene expression profiles (GEP) of CD138+ plasma cells were analyzed from 122 VTD-treated patients. The incidence of grade 2 PN was 35% in the VTD arm and 10% in the TD arm (p<0.001). PN resolved in 88% and 95% of patients in VTD and TD groups, respectively. Rates of complete/near complete response, progression-free and overall survival were not adversely affected by emergence of grade 2 PN. Baseline characteristics were not risk factors for PN, while GEP analysis revealed the deregulated expression of genes implicated in cytoskeleton rearrangement, neurogenesis and axonal guidance. In conclusion, in comparison with TD, incorporation of VTD into ASCT was associated with a higher incidence of PN which, however, was reversible in most of the patients and did not adversely affect their outcomes nor their ability to subsequently receive ASCT. GEP analysis suggests an interaction between myeloma genetic profiles and development of VTD-induced PN.

Publication Title

Bortezomib- and thalidomide-induced peripheral neuropathy in multiple myeloma: clinical and molecular analyses of a phase 3 study.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE16791
Expression data from CD138+ cells obtained from MM patients at diagnosis
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Thalidomide-dexamethasone (TD) combination is an effective induction therapy for newly diagnosed multiple myeloma patients, candidates for subsequent autologous stem cell transplantation (ASCT). Since maximization of tumor response before ASCT may favorably affect the clinical outcomes, we designed a study to identify a gene expression profile (GEP) signature predictive of attainment of complete response to TD induction therapy. CD138+ bone marrow samples obtained at diagnosis from 112/311 patients were analyzed. Two subsequent time phases were planned. Firstly, a GEP supervised analysis, performed on a training set of 32 patients, allowed to identify 157 probe sets differentially expressed in complete responder + near complete responder (CR+nCR) versus partial responder patients. Than, we generated an 8-gene GEP signature predicting at diagnosis the probability to achieve CR+nCR to TD induction therapy. The performance of this assay was subsequently validated in an 80 patients training set. The 8-gene signature provide a negative predictive value of 93% and a positive predictive value of 44%. The 8 genes were down-regulated in patients who achieved at least a nCR. These results could be an important first step to adopting a diagnostic assay, used to determine, at diagnosis, patients who will respond more favourably to a particular treatment strategy.

Publication Title

Correlation between eight-gene expression profiling and response to therapy of newly diagnosed multiple myeloma patients treated with thalidomide-dexamethasone incorporated into double autologous transplantation.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

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accession-icon GSE69029
CD138+ expression and genomic profile obtained from newly diagnosed Multiple Myeloma patients up-front treated with VTD induction therapy
  • organism-icon Homo sapiens
  • sample-icon 118 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The genetic and genomic background of multiple myeloma patients achieving complete response after induction therapy with bortezomib, thalidomide and dexamethasone (VTD).

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE68871
Expression data from BM-CD138+, obtained from newly diagnosed Multiple Myeloma patients [response to VTD therapy]
  • organism-icon Homo sapiens
  • sample-icon 118 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The prime focus of the current therapeutic strategy for Multiple Myeloma (MM) is an early and deep tumour burden reduction; this characterizes and defines the complete response (CR). To date, no description of the characteristics of the plasma cells (PC) prone to achieve CR has been reported. This study aimed at the molecular characterization of PC derived from MM patients who achieved CR after bortezomib-thalidomide-dexamethasone (VTD) first line therapy.

Publication Title

The genetic and genomic background of multiple myeloma patients achieving complete response after induction therapy with bortezomib, thalidomide and dexamethasone (VTD).

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE32260
Relationship between DNMT1-RNA interactions, DNA methylation and gene expression
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

DNMT1-interacting RNAs block gene-specific DNA methylation.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE32153
Expression data from WT HL60 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used the microarray analysis to detail the gene expression profile from the leukemic cell line HL-60

Publication Title

DNMT1-interacting RNAs block gene-specific DNA methylation.

Sample Metadata Fields

Cell line

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accession-icon SRP009094
RIPSEQ DNMT1 HL60
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Identification of the all RNA species associated with DNMT1. Using a comparative genome-scale approach we identified and correlated the RNA species physically associated with DNMT1 and proximal to the annotated genes to the methylation status of the corresponding loci and expression levels of the respective genes. This comparative approach delineated the first -DNMT1 centered- 'epitranscriptome' map, a comprehensive map cross-referencing DNMT1-interacting transcripts to (i) DNA methylation and (ii) gene expression profile. Overall design: Relationship between DNMT1-RNA interactions, DNA methylation and gene expression

Publication Title

DNMT1-interacting RNAs block gene-specific DNA methylation.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE61930
SaOS-2 transfected with CD99 in differentiation medium for 14 days
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon GSE61928
SaOS-2 transfected with CD99 in differentiation medium for 14 days [total RNA]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We explored the transcriptional modification induced by CD99 transfection in the osteosarcoma cell lines SaOS-2 after 0, 7 and 14 days in differentiation medium.

Publication Title

Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model.

Sample Metadata Fields

Specimen part, Cell line, Time

View Samples
accession-icon SRP068845
Next generation sequencing based analysis of the embryonic (E15.5) transcriptome of wild type and ß1-integrin-cKO lenses
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

ß1-integrin is the major ß-integrin subunit expressed in both lens epithelial and fiber cells. Our previous research indicated that ß1-integrin is essential for the maintenance of lens epithelial integrity and survival in late embryonic lens development (Simirskii et al, 2009). Lack of ß1-integrin in the lens will lead to severe micropthalmia and lack of lens in adult mice. In order to study the mechanisms involved, high throughput RNA sequencing (RNAseq) was performed to determine the genes that are differentially expressed between E15.5 wild type (WT) lenses and lenses that lack ß1-integrin expression due to the action of MLR10 CRE (ß1-cKO). The methodology used here is similar to the other RNAseq experiments that were previously performed in our lab (Manthey et al., 2014a and Audette et al, 2015) (Geo accession: GSE 49949 and GSE69940) . Meanwhile, the filtering criteria and processing procedures were also published (Manthey et al., 2014b). Compared to WT, 120 genes were found to be differentially expressed in ß1-cKO lenses. Moreover, bioinformatics tools (DAVID (the database for Annotation, Visulization and Integrated Discovery), and PANTHER (Protein Analysis through Evolutionary Relationship) classification system) as well as manual literature searching was applied for further data analysis. It showed that genes involved in EMT and stress-responses were differentially expressed in ß1-cKO compared to that of WT. Description of filtering criteria: To identify the differentially expressed genes, pair-wise qCML method exact tests with a Benjamini Hochberg false discovery rate correction greater than the threshold of P<0.05 was applied, which identified 5120 genes. As previously described (Manthey et al., 2014b), most of the genes differentially expressed between inbred C57Bl/6 <har> and mice with a mixed background were below a threshold of 2.5 fold change. Therefore, all differentially expressed genes with a less than 2.5 fold change were filtered out. Further, genes whose expression level were not high enough to be biologically significant were also filtered out, based on the RPMK (Reads per Kilobase per million reads) value. Any gene in the final list has RPKM greater that 2 in either WT or ß1-cKO samples, a value that corresponds to approximately 1 mRNA molecule per cell. By applying a combination of these filtering criteria, 120 differentially expressed genes were found, which could potentially elucidate the molecular connections between conditional deletion of ß1-intergrin from the lens and the observed phenotypic abnormalities. Manthey, A. L., Lachke, S. A., FitzGerald, P. G., Mason, R. W., Scheiblin, D. A., McDonald, J. H. and Duncan, M. K. (2014a) ''Loss of Sip1 leads to migration defects and retention of ectodermal markers during lens development'', Mech Dev 131: 86-110. Manthey, A. L., Terrell, A. M., Lachke, S. A., Polson, S. W. and Duncan, M. K. (2014b) ''Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis'', Genom Data 2: 369-374. Overall design: RNA-Seq comparison of C57Bl/6 <har> wild type controls and ß1-integrin conditional knockout lenses at E15.5, three biological replicates were used in each group

Publication Title

β1-Integrin Deletion From the Lens Activates Cellular Stress Responses Leading to Apoptosis and Fibrosis.

Sample Metadata Fields

Specimen part, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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