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accession-icon GSE35809
Gastric Cancer Subtyping (Australian Patient Cohort)
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genome-wide mRNA expression profiles of 70 primary gastric tumors from the Australian patient cohort. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities.

Publication Title

Comprehensive genomic meta-analysis identifies intra-tumoural stroma as a predictor of survival in patients with gastric cancer.

Alternate Accession IDs

E-GEOD-35809

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE34942
Gastric cancer subtyping (Singapore Patient Cohort, batch B)
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genome-wide mRNA expression profiles of 56 primary gastric tumors from the Singapore patient cohort, batch B. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities.

Publication Title

Regulatory crosstalk between lineage-survival oncogenes KLF5, GATA4 and GATA6 cooperatively promotes gastric cancer development.

Alternate Accession IDs

E-GEOD-34942

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE30274
The histotype-specific copy-number landscape of ovarian cancer (expression Japan)
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Ovarian cancer is characterized by multiple structural aberrations; most are passenger alterations which do not confer tumor growth. Like many cancers, it is a heterogeneous disease and till date, the histotype-specific copy number landscape has been difficult to elucidate. To dissect the heterogeneity of ovarian cancer and understand the pathogenesis of its various histotypes, we developed an in silico hypothesis-driven workflow to identify histotype-specific copy number aberrations across multiple datasets of epithelial ovarian cancer. In concordance with previous studies on global copy number changes, our study showed similar alterations. However, when the landscape was de-convoluted into histotypes, distinct alterations were observed. We report here a comprehensive histotype-specific copy number landscape of ovarian cancer and showed that there is genomic diversity between the histotypes; some involving well known cancer genes and some novel potential driver genes. Besides preferential occurrence of alterations in some histotypes, opposite trends of alteration were observed; such as ERBB2 amplification in mucinous but deletion in serous tumors. The landscape highlights the need for identifying histotype-specific aberrations in ovarian cancer and present potential to tailor management of ovarian cancer based on molecular signature of histotypes.

Publication Title

Histotype-specific copy-number alterations in ovarian cancer.

Alternate Accession IDs

E-GEOD-30274

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51706
Integrative study of cooperative lineage-survival oncogenes in gastric cancer
  • organism-icon Homo sapiens
  • sample-icon 36 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

Regulatory crosstalk between lineage-survival oncogenes KLF5, GATA4 and GATA6 cooperatively promotes gastric cancer development.

Alternate Accession IDs

E-GEOD-51706

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE30284
The histotype-specific copy-number landscape of ovarian cancer (expression Taiwan)
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Ovarian cancer is characterized by multiple structural aberrations; most are passenger alterations which do not confer tumor growth. Like many cancers, it is a heterogeneous disease and till date, the histotype-specific copy number landscape has been difficult to elucidate. To dissect the heterogeneity of ovarian cancer and understand the pathogenesis of its various histotypes, we developed an in silico hypothesis-driven workflow to identify histotype-specific copy number aberrations across multiple datasets of epithelial ovarian cancer. In concordance with previous studies on global copy number changes, our study showed similar alterations. However, when the landscape was de-convoluted into histotypes, distinct alterations were observed. We report here a comprehensive histotype-specific copy number landscape of ovarian cancer and showed that there is genomic diversity between the histotypes; some involving well known cancer genes and some novel potential driver genes. Besides preferential occurrence of alterations in some histotypes, opposite trends of alteration were observed; such as ERBB2 amplification in mucinous but deletion in serous tumors. The landscape highlights the need for identifying histotype-specific aberrations in ovarian cancer and present potential to tailor management of ovarian cancer based on molecular signature of histotypes.

Publication Title

Histotype-specific copy-number alterations in ovarian cancer.

Alternate Accession IDs

E-GEOD-30284

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51704
Gene expression profiling of KLF5, GATA4 and GATA6 knock down in YCC3/AGS/KATOIII cell lines
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Three transcription factors KLF5, GATA4 and GATA6 are recurrently amplified in multiple gastric cancer cohorts, representing one type of lineage-survival oncogenes in gastric cancer. ChIP-Seq analysis of these three factors in multiple cell lines revealed that significant number of genomic sites are co-occupied by KLF5 and GATA4 and/or GATA6. Integrative analysis of ChIP-Seq and gene expression identified several targets of the three transcription factors in both cell lines and primary tumors, including HNF4A. These results suggest that KLF5, GATA4 and GATA6 interact and co-operate to regulate HNF4A and other genes to promote tumorigenesis in gastric cancer.

Publication Title

Regulatory crosstalk between lineage-survival oncogenes KLF5, GATA4 and GATA6 cooperatively promotes gastric cancer development.

Alternate Accession IDs

E-GEOD-51704

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE74560
Whole blood gene expression from overweight women supplemented with quercetin or placebo
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Flavonoids and fish oils have anti-inflammatory and immune-modulating influences. The purpose of the study was to determine if a mixed flavonoid-fish oil supplement (Q-Mix; 1000 mg quercetin, 400 mg isoquercetin, 120 mg EGCG from green tea extract, 220 mg EPA and 180 mg DHA from fish oil, 1000 mg vitamin C, 40 mg niacinamide, and 800 ug folic acid) would reduce inflammatory and oxidative stress markers and alter genomic profiles in overweight women. Women were assigned using a randomized double-blinded placebo-controlled trial to Q-Mix or placebo groups. Overnight fasted blood samples were collected and subjected to RNA expression analysis on Affymetrix Hugene ST1_1 arrays.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-74560

Sample Metadata Fields

Sex, Specimen part, Subject, Time

View Samples
accession-icon GSE35808
Therapeutic interference with mTorc1 restricts inflammation-associated and Stat3-dependent gastro-intestinal tumourigenesis in mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Gp130 receptor engagement on neoplastic cells provides a link by which an inflammatory microenvironment facilitates tumour promotion. Although hyperactivation of the gp130-dependent Stat3 signalling node is commonly observed in solid tumours, Stat3 remains a challenging therapeutic target. To mimic excessive Stat3 signalling, we molecularly validate the gp130FF mouse as a preclinical model for inflammation-associated intestinal-type gastric cancer (IGC), with aberrant mammalian target of rapamycin (mTOR) pathway activity as shared feature. Accordingly, administration of the mTorc1 inhibitor RAD001 reversibly reduced IGC burden in gp130FF mice and suppressed colitis-associated cancer in wild-type mice. Since the therapeutic effect of RAD001 occurs independently of Stat3 hyperactivation, which is also dispensable for gp130-dependent engagement of the PI3K/Akt/mTorc1 pathway, we conclude that mTorc1 signalling limits tumour promoting Stat3 activity

Publication Title

mTORC1 inhibition restricts inflammation-associated gastrointestinal tumorigenesis in mice.

Alternate Accession IDs

E-GEOD-35808

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE85569
Genetic Susceptibility to Diabetic Nephropathy is Related to Pro-inflammatory Pathways
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Diabetic nephropathy (DN) is a leading cause of ESRD worldwide, but its molecular pathogenesis is not well-defined and there are no specific treatments. In humans, there is a strong genetic component determining susceptibility to DN. However, specific genes controlling DN susceptibility in humans have not been identified. Here we describe a new mouse model, combining type 1 diabetes with activation of the renin angiotensin system (RAS), which develops robust kidney disease with features resembling human DN: heavy albuminuria, hypertension and glomerulosclerosis. Additionally, there is a powerful effect of genetic background regulating susceptibility to nephropathy. The 129 strain is susceptible to kidney disease, whereas the C57BL/6 strain is resistant. To examine the molecular basis of this differential susceptibility, we analyzed the glomerular transcriptome of young mice with albuminuria but without detectable alterations in glomerular structure . We find dramatic difference in regulation of immune and inflammatory pathways with up-regulation of pro-inflammatory pathways in the susceptible (129) strain and coordinate down-regulation in the resistant (C57BL/6) strain, compared to their respective baselines. Many of these pathways were also up-regulated in a rat model and in humans with DN. Our studies suggest that genes controlling inflammatory responses, triggered by hyperglycemia and hypertension, may be critical early determinants of susceptibility to DN.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-85569

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE60868
Expression data in GADD34 knockout cells treated with arsenite
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Growth arrest and DNA damage induced protein (GADD34) is a regulator of protein phosphatase 1 and promotes eIF2 dephosphorylation under conditions of various stress. eIF2 phosphorylation at Ser 51 is a key nodule controlling the general rate of protein synthesis and activation of integrated stress response pathways. In GADD34 knockout conditions, dysregulated eIF2 phosphorylation is likely to produce abnormalities in the integrated stres response. GADD34 can be induced by many different stresses but oxidative stress by arsenite produced highest GADD34 levels in various cell lines tested. We aim to evaluate early gene expression changes on arsenite treatment and examine if GADD34 influences the profile of genes induced by oxidative stress.

Publication Title

Oxidative stress promotes SIRT1 recruitment to the GADD34/PP1α complex to activate its deacetylase function.

Alternate Accession IDs

E-GEOD-60868

Sample Metadata Fields

Specimen part

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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Developed by the Childhood Cancer Data Lab

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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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