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accession-icon GSE22470
Translocations Activating IRF4 Identify a Subtype of Germinal-Center-Derived B-cell Lymphoma Affecting Predominantly Children and Young Adults
  • organism-icon Homo sapiens
  • sample-icon 271 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: Germinal center B-cell (GCB) lymphomas are common in children and adults. The prognosis strongly depends on age. Subgroups of GCB-lymphomas are characterized by chromosomal translocations affecting immunoglobulin (IG) loci leading to oncogene deregulation.

Publication Title

Translocations activating IRF4 identify a subtype of germinal center-derived B-cell lymphoma affecting predominantly children and young adults.

Sample Metadata Fields

Sex, Age

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accession-icon GSE7440
Early Response and Outcome in High-Risk Childhood Acute Lymphoblastic Leukemia: A Childrens Oncology Group Study
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The cure rate for childhood ALL has improved considerably in part because therapy is routinely tailored to the predicted risk of relapse. Various clinical and laboratory variables are used in current risk-stratification schemes, but many children who fail therapy lack adverse prognostic factors at initial diagnosis. Using gene expression analysis, we have identified genes and pathways in a NCI high-risk childhood B-precursor ALL cohort at diagnosis that may play a role in early blast regression as correlated with the Day 7 marrow status. We have also identified a 47-probeset signature (representing 41 unique genes) that was predictive of long term outcome in our dataset as well as three large independent datasets of childhood ALL treated on different protocols.

Publication Title

Gene expression signatures predictive of early response and outcome in high-risk childhood acute lymphoblastic leukemia: A Children's Oncology Group Study [corrected].

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65823
Identification of a new subclass of ALK negative ALCL expressing aberrant levels of ERBB4 transcripts
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Anaplastic Large Cell Lymphoma (ALCL) is a clinical and biological heterogeneous disease including ALK positive and ALK negative systemic forms. To discover biomarkers and/or genes involved in ALK negative ALCL pathogenesis, we applied the Cancer Outlier Profile Analysis (COPA) algorithm to a gene expression profiling data set including 249 cases of T-NHLs and normal T-cells. Ectopic co-expression of ERBB4 and COL29A1 genes was detected in 24% of ALK negative ALCL patients. RNA sequencing and 5'RNA Ligase Mediated Rapid Amplification of cDNA Ends (RLM-RACE) identified two novel ERBB4 truncated transcripts, displaying intronic Transcription Starting Sites. ERBB4 expression was confirmed at protein level by western blotting and immunohistochemistry. Moreover, by luciferase assays we defined that the expression of ERBB4 aberrant transcripts is promoted by endogenous intronic Long Terminal Repeats (LTRs). In conclusion, we identified a new subclass of ALK negative ALCL characterized by aberrant expression of ERBB4 truncated transcripts carrying intronic 5'UTRs.

Publication Title

Identification of a new subclass of ALK-negative ALCL expressing aberrant levels of ERBB4 transcripts.

Sample Metadata Fields

Specimen part

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accession-icon GSE9899
Expression profile of ovarian tumour samples
  • organism-icon Homo sapiens
  • sample-icon 292 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

Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9891
Expression profile of 285 ovarian tumour samples
  • organism-icon Homo sapiens
  • sample-icon 282 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour

Publication Title

Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9890
Expression profile of 5 ovarian tumour samples (two different cell types from each sample profiles)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to profile the expression levels of 5 tumour samples

Publication Title

Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP058849
Transcriptional profiling of BXD dorsal root ganglia
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We sequenced dorsal root ganglia mRNA from 25 BXD recombinant inbred mouse strains to determine their variation in gene expression. Overall design: Dorsal root ganglia mRNA profiles of recombinant inbred mouse strains

Publication Title

HTR7 Mediates Serotonergic Acute and Chronic Itch.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37025
Interleukin-1 receptor antagonist for recent-onset type 1 diabeties mellitus: a multicenter randomized, placebo-controlled trial
  • organism-icon Homo sapiens
  • sample-icon 228 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Blocking the action of the pro-inflammatory cytokine interleukin-1 (IL-1) reduces beta-cell secretory dysfunction and apoptosis in vitro, diabetes incidence in animal models of Type 1 diabetes mellitus (T1D), and glycaemia via improved beta-cell function in patients with T2D. We hypothesised that anakinra, a recombinant human IL-1 receptor antagonist, improves beta-cell function in patients with new-onset T1D. Methods: In an individually randomised, two-group parallel trial involving 14 European tertiary referral centers, 69 patients aged 18-35 with T1D, < 12 weeks of symptoms, and standard mixed meal test (MMT) stimulated C-peptide 200 pM were enrolled between January, 2009 and July, 2011 and assigned by centralised computer-generated blocked randomisation with locked computer-file concealment to treatment with 100 mg anakinra (n=35) subcutaneously once daily or placebo (n=34) for 9 months as add-on to conventional therapy. Participants and care-givers, but not data monitoring unit, were masked to group assignment. The primary end-point was change in the two-hour area-under-the-curve C-peptide response to MMT, and secondary end-points changes in insulin requirements, glycaemia, and inflammatory markers at one, three, six, and nine months. Findings: The study was prematurely terminated due to slow accrual and is closed to follow-up. No interim analysis was performed. Ten patients withdrew in the anakinra and eight in the placebo arm, leaving 25 and 26 patients to be analysed, respectively. There was no statistical difference in adverse event category reporting between arms. Interpretation: Anakinra-treatment in T1D was safe, but the trial failed to meet primary and secondary outcome measures.

Publication Title

Interleukin-1 antagonism moderates the inflammatory state associated with Type 1 diabetes during clinical trials conducted at disease onset.

Sample Metadata Fields

Subject, Time

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accession-icon GSE68049
Canakinumab treatment for recent-onset type 1 diabeties mellitus: a multicenter randomized, placebo-controlled trial
  • organism-icon Homo sapiens
  • sample-icon 187 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Blocking the action of the pro-inflammatory cytokine interleukin-1 (IL-1) reduces beta-cell secretory dysfunction and apoptosis in vitro, diabetes incidence in animal models of Type 1 diabetes mellitus (T1D), and glycaemia via improved beta-cell function in patients with T2D. We hypothesised that canakinumab, a monoclonal antibody to IL-1B, improves beta-cell function in patients with new-onset T1D. Methods: In an individually randomised, two-group parallel trial involving 12 sites in US, 69 patients aged 6-45 with T1D, < 12 weeks of symptoms, and assigned by centralised computer-generated blocked randomisation with locked computer-file concealment to treatment with 2 mg/kg (maximum 300 mg) canakinumab (n=45) or placebo (n=22) monthly for 12 months as add-on to conventional therapy. Participants and care-givers, but not data monitoring unit, were masked to group assignment. The primary end-point was change in the two-hour area-under-the-curve C-peptide response to MMT 12 months.

Publication Title

Interleukin-1 antagonism moderates the inflammatory state associated with Type 1 diabetes during clinical trials conducted at disease onset.

Sample Metadata Fields

Subject, Time

View Samples
accession-icon GSE141381
Siponimod selectively enriched regulatory T and B lymphocytes in active secondary progressive multiple sclerosis patients
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Siponimod selectively enriched regulatory T and B lymphocytes in active secondary progressive multiple sclerosis patients: 20 SPMS baseline including 3 repeats, 19 treated with 5 placebo and 14 siponimod treated.

Publication Title

Siponimod enriches regulatory T and B lymphocytes in secondary progressive multiple sclerosis.

Sample Metadata Fields

Sex, Age, Treatment

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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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