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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.

Sample Metadata Fields

Specimen part, Disease, Time

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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

Sample Metadata Fields

Specimen part, Disease

View Samples
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.

Sample Metadata Fields

Cell line

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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.

Sample Metadata Fields

Specimen part, Disease stage

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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.

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.

Sample Metadata Fields

Cell line

View Samples
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.

Sample Metadata Fields

Specimen part, Disease stage

View Samples
accession-icon GSE45827
Expression data from Breast cancer subtypes
  • organism-icon Homo sapiens
  • sample-icon 154 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression data from Breast cancer subtypes

Publication Title

Chronic oxidative stress promotes H2AX protein degradation and enhances chemosensitivity in breast cancer patients.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE63471
Implementing whole genome array for clinical use in academic centers: A randomized trial comparing neoadjuvant standard chemotherapy to genomic-driven chemotherapy in operable breast cancer (REMAGUS04 trial)
  • organism-icon Homo sapiens
  • sample-icon 142 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

REMAUS04 is a phase III trial comparing DNA array-based chemotherapy (by DLD30 score and TOP2A expression) to standard neoadjuvant chemotherapy, in patients with HER2-negative breast carcinoma not eligible for conserving surgery.

Publication Title

No associated publication

Sample Metadata Fields

Age, Disease stage

View Samples
accession-icon GSE58697
Expression data from 128 Desmoids
  • organism-icon Homo sapiens
  • sample-icon 123 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

One of the main problems in managing desmoids tumors is their locoregional aggressiveness and their high ability to recur after initial treatment. In our work, with the goal to identify molecular markers that can predict Progression-Free Survival, gene-expression screening was conducted on 128 available independent untreated primary desmoid tumors using cDNA microarray. By analyzing expression profiles, we have identified, for the first time, a gene expression signature that is able to predict Progression-Free Survival. This molecular signature identified two groups with clearly distinct Progression-Free Survival in the two sets of subjects. Patients in good prognostic group had achieved a progression-free 2-year survival rate of 86% while patients in poor prognostic group had a progression-free 2-year survival rate of 44%.

Publication Title

Gene Expression Profiling of Desmoid Tumors by cDNA Microarrays and Correlation with Progression-Free Survival.

Sample Metadata Fields

Sex, Age, Specimen part

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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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