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accession-icon GSE57280
Genomic analysis of low-grade serous ovarian carcinomas
  • organism-icon Homo sapiens
  • sample-icon 14 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

Genomic classification of serous ovarian cancer with adjacent borderline differentiates RAS pathway and TP53-mutant tumors and identifies NRAS as an oncogenic driver.

Sample Metadata Fields

Disease, Disease stage, Subject

View Samples
accession-icon GSE56443
Genomic analysis of low-grade serous ovarian carcinomas [EXP]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted. We sought to identify differentially expressed genes between co-existing borderline and invasive components of serous carcinoma.

Publication Title

Genomic classification of serous ovarian cancer with adjacent borderline differentiates RAS pathway and TP53-mutant tumors and identifies NRAS as an oncogenic driver.

Sample Metadata Fields

Disease, Disease stage, Subject

View Samples
accession-icon GSE13763
Gene expression profiling after RNA interference of CXCR4 in human ovarian cancer cell line IGROV-1.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the past three years the role of inflammatory cytokines and chemokines in tumour promotion and progression has been intensively studied. The chemokine receptor CXCR4 and its ligand CXCL12 are commonly expressed in malignant cells from primary tumours, metastases and also in malignant cell lines. To investigate the biological significance of this receptor/ligand pair, we knocked-down CXCR4 expression in ovarian cancer cell line IGROV-1 using shRNA, and established stable cell lines.

Publication Title

A dynamic inflammatory cytokine network in the human ovarian cancer microenvironment.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18681
Gene expression profile of ascites cell samples from patients with advanced ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We present evidence for an autocrine cytokine network in human ovarian cancer that has paracrine actions on the tumour microenvironment. In experiments using bioinformatics analysis of large gene expression array datasets and ovarian cancer biopsies, we found that the inflammatory cytokines TNF- and IL-6, the chemokine receptor CXCR4 and its ligand CXCL12, are co-regulated in malignant cells. We named this co-regulation the TNF network.

Publication Title

A dynamic inflammatory cytokine network in the human ovarian cancer microenvironment.

Sample Metadata Fields

Specimen part

View Samples
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

View Samples
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

View Samples
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 GSE38734
Expression data from primary ovarian samples and matched abdominal deposits
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used unsupervised hierarchical clustering to analyse expression in primary ovarian tumors and associated abdominal deposits. GeneGo pathway analysis of differentially expressed genes between primary tumors and deposits revealed 4 of the top 10 pathways related to cytoskeleton remodeling and cell adhesion.

Publication Title

LRP1B deletion in high-grade serous ovarian cancers is associated with acquired chemotherapy resistance to liposomal doxorubicin.

Sample Metadata Fields

Sex, Specimen part, Subject

View Samples
accession-icon GSE32062
Immune-activation as a therapeutic direction for patients with high-risk ovarian cancer based on gene expression signature (1)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The Japanese Serous Ovarian Cancer Study Group

Publication Title

High-risk ovarian cancer based on 126-gene expression signature is uniquely characterized by downregulation of antigen presentation pathway.

Sample Metadata Fields

Specimen part

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accession-icon GSE89997
Expression data from 2 cohorts of human pancreatic ductal adenocarcinoma (PDAC) tumors
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

In this dataset, we included expression data obtained from 30 resected human PDAC tumors, to examine what genes are differentially expressed in different cohorts that might lead to various outcomes

Publication Title

Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.

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)

fund-icon Fund the CCDL

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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