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accession-icon GSE46873
Dual targeting of MYC and CYCLON by BET bromodomain inhibition optimizes Rituximab response in lymphoma.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Immuno-chemotherapy regimens elicit high response rates in B-cell non-Hodgkin lymphoma but heterogeneity in response duration is observed, with some patients achieving cure and others showing refractory disease or relapse. Using a transcriptome-powered targeted proteomics screen, we discovered a gene regulatory circuit involving the nuclear factor CYCLON which characterizes aggressive disease and resistance to the anti-CD20 monoclonal antibody, Rituximab, in high-risk B-cell lymphoma. CYCLON knockdown was found to inhibit the aggressivity of MYC-overexpressing tumors in mice and to modulate gene expression programs of biological relevance to lymphoma. Furthermore, CYCLON knockdown increased the sensitivity of human lymphoma B cells to Rituximab in vitro and in vivo. Strikingly, this effect could be mimicked by in vitro treatment of lymphoma B cells with a small molecule inhibitor for BET bromodomain proteins (JQ1). In summary, this work has identified CYCLON as a new MYC cooperating factor that drives aggressive tumor growth and Rituximab resistance in lymphoma. This resistance mechanism is amenable to next-generation epigenetic therapy by BET bromodomain inhibition, thereby providing a new combination therapy rationale for high-risk lymphoma.

Publication Title

Identification of a novel BET bromodomain inhibitor-sensitive, gene regulatory circuit that controls Rituximab response and tumour growth in aggressive lymphoid cancers.

Alternate Accession IDs

E-GEOD-46873

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE20666
Aberrant heterochromatic foci are associated to deregulation of the GMCL1 gene in CH1 lymphoma B cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Chromosome 1 pericentric heterochromatin rearrangements : potent drivers of nuclear architecture perturbations and gene deregulation in human B cell lymphoma

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-20666

Sample Metadata Fields

Cell line

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accession-icon GSE45857
Expression data from bovine liver
  • organism-icon Bos taurus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Female sex steroid hormones, estradiol-17 (E2) and progesterone (P4) regulate reproductive function and gene expression in a broad range of tissues. Given the central role of the liver in regulating homeostasis including steroid hormone metabolism, we sought to understand how E2-17 and P4 interact to affect global gene expression in liver. Eight ovariectomized cows were randomly assigned to 4 treatment groups applied in a replicated Latin Square design: 1) No hormone supplementation, 2) E2-17 treatment (ear implant), 3) P4 treatment (intravaginal inserts), and 4) E2-17 combined with P4. After 14 d of treatment, liver biopsies were collected, allowing 28 d intervals between periods. Changes in gene expression in the liver biopsies were monitored using Affymetrix bovine-specific arrays. Treatment with E2-17 altered expression of 479 genes, P4 472 genes, and combined treatment significantly altered expression of 468 genes. In total, 578 genes exhibited altered expression including a remarkable number (346 genes) that responded similarly to E2-17, P4, or combined treatment. Additional evidence for similar gene expression effects of E2-17 and/or P4 were: principal component analysis placed almost every treatment array at a substantial distance from control arrays; Venn diagrams indicated overall treatment effects for most regulated genes; clustering analysis indicated the two major clusters had all treatments upregulating (cluster 1; 172 genes) or downregulating (cluster 2: 173 genes) expression. Thus, unexpectedly, common biological pathways are regulated by E2-17 and/or P4 in liver. Future studies are needed to elucidate mechanism(s) responsible for overlapping actions of E2-17 and P4 on the liver transcriptome. KEYWORDS: estradiol, progesterone, global gene expression, liver, cows.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-45857

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE65216
Expression profiling of breast cancer samples from Institut Curie (Maire cohort)
  • organism-icon Homo sapiens
  • sample-icon 351 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

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Alternate Accession IDs

E-GEOD-65216

Sample Metadata Fields

Cell line

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accession-icon GSE21050
Expression data from Complex genetics sarcomas (cohort 1 and 2)
  • organism-icon Homo sapiens
  • sample-icon 303 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

For this study, we selected, from the French Sarcoma Group (FSG) database, soft tissue sarcomas with no recurrent chromosomal translocations and for which a frozen tissue of the untreated primary tumor was available. Three hundred and ten sarcomas have been studied. They are split in two cohorts.

Publication Title

Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity.

Alternate Accession IDs

E-GEOD-21050

Sample Metadata Fields

Specimen part, Disease, Time

View Samples
accession-icon GSE26639
Expression Data from 226 patients of the REMAGUS02 trial
  • organism-icon Homo sapiens
  • sample-icon 226 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of predictive markers of response to treatment is a major objective in breast cancer. A major problem in clinical sampling is the variability of RNA templates, requiring accurate management of tumour material and subsequent analyses for future translation in clinical practice. Our aim was to establish the feasibility and reliability of high throughput RNA analysis in a prospective trial.

Publication Title

Importance of pre-analytical steps for transcriptome and RT-qPCR analyses in the context of the phase II randomised multicentre trial REMAGUS02 of neoadjuvant chemotherapy in breast cancer patients.

Alternate Accession IDs

E-GEOD-26639

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE16382
Expression data from complex genetic sarcomas
  • organism-icon Homo sapiens
  • sample-icon 183 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

For this study, we selected, from the French Sarcoma Group (FSG) database, soft tissue sarcomas with no recurrent chromosomal translocations and for which frozen tissue of the untreated primary tumor was available. One hundred and eighty-three cases were studied.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-16382

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE65212
Expression profiling of breast cancer samples from Institut Curie (Maire cohort) -- BrainArray CDF
  • organism-icon Homo sapiens
  • sample-icon 176 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of 130 breast cancer samples (41 TNBC; 30 Her2; 30 Luminal B and 29 Luminal A), 11 normal breast tissue samples and 14 TNBC cell lines.

Publication Title

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Alternate Accession IDs

E-GEOD-65212

Sample Metadata Fields

Cell line

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accession-icon GSE65194
Expression profiling of breast cancer samples from Institut Curie (Maire cohort) --Affy CDF
  • organism-icon Homo sapiens
  • sample-icon 175 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of 130 breast cancer samples (41 TNBC; 30 Her2; 30 Luminal B and 29 Luminal A), 11 normal breast tissue samples and 14 TNBC cell lines.

Publication Title

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Alternate Accession IDs

E-GEOD-65194

Sample Metadata Fields

Cell line

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accession-icon GSE20565
Primary and secondary ovarian tumors
  • organism-icon Homo sapiens
  • sample-icon 140 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The distinction between primary and secondary ovarian tumors may be challenging for pathologists.

Publication Title

A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer.

Alternate Accession IDs

E-GEOD-20565

Sample Metadata Fields

Specimen part, Disease stage

View Samples
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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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