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accession-icon GSE7307
Human body index - transcriptional profiling
  • organism-icon Homo sapiens
  • sample-icon 528 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Normal and diseased human tissues were profiled for gene expression using the Affymetrix U133 plus 2.0 array

Publication Title

No associated publication

Sample Metadata Fields

Sex

View Samples
accession-icon GSE3526
Comparison of gene expression profiles across the normal human body
  • organism-icon Homo sapiens
  • sample-icon 342 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Normal human tissue samples from ten post-mortem donors were processed to generate total RNA, which was subsequently analyzed for gene expression using Affymetrix U133 plus 2.0 arrays. Donor information: Donor 1 - 25 year old male; donor 2 - 38 year old male; donor 3 - 39 year old female; donor 4 - 30 year old male; donor 5 - 35 year old male; donor 6 - 52 year old male; donor 7 - 50 year old female; donor 8 - 48 year old female; donor 9 - 53 year old female; donor 10 - 23 year old female

Publication Title

Gene expression analyses reveal molecular relationships among 20 regions of the human CNS.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7305
Human endometriosis vs normal endometrium study - transcriptional profiling
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Normal and diseased human tissues were profiled for gene expression using the Affymetrix U133 plus 2.0 array

Publication Title

Human endometriosis is associated with plasma cells and overexpression of B lymphocyte stimulator.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE4865
Comparison of gene expression profiles between GnRH-treated and control rat pituitary organ cultures
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Rat pituitary organ cultures were treated with either GnRH at 10nM for 6 hours, or treated with control for 6 h, both groups in triplicate; samples were processed to generate total RNA, which were subsequently analyzed for gene expression using Affymetrix rat 230 2.0 arrays

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE46691
Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy
  • organism-icon Homo sapiens
  • sample-icon 545 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Purpose: Clinicopathologic features and biochemical recurrence are sensitive, but not specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a genomic expression signature detected in the primary tumor represents true biological potential of aggressive disease and provides improved prediction of early prostate cancer metastasis.

Publication Title

Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE62116
Validation of a genomic classifier that predicts metastasis following radical prostatectomy in at risk patient population
  • organism-icon Homo sapiens
  • sample-icon 235 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Purpose: Patients with locally advanced prostate cancer after radical prostatectomy are candidates for secondary therapy. However, this higher risk population is heterogeneous. Many cases do not metastasize even when conservatively managed. Given the limited specificity of pathological features to predict metastasis, newer risk prediction models are needed. We report a validation study of a genomic classifier that predicts metastasis after radical prostatectomy in a high risk population. Method:A case-cohort design was used to sample 1,010 patients after radical prostatectomy at high risk for recurrence who were treated from 2000 to 2006. Patients had preoperative prostate specific antigen greater than 20 ng/ml, Gleason 8 or greater, pT3b or a Mayo Clinic nomogram score of 10 or greater. Patients with metastasis at diagnosis or any prior treatment for prostate cancer were excluded from analysis. A 20% random sampling created a subcohort that included all patients with metastasis. We generated 22-marker genomic classifier scores for 235 patients with available genomic data. ROC and decision curves, competing risk and weighted regression models were used to assess genomic classifier performance.

Publication Title

Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population.

Sample Metadata Fields

Age

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accession-icon GSE62667
A genomic classifier improves prediction of metastatic disease within 5 years after surgery in node-negative high-risk prostate cancer patients managed by radical prostatectomy without adjuvant therapy
  • organism-icon Homo sapiens
  • sample-icon 182 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

To determine whether adding Decipher to standard risk stratification tools (CAPRA-S and Stephenson nomogram) improves accuracy in prediction of metastatic disease within 5 years after surgery in men with adverse pathologic features after RP.

Publication Title

A genomic classifier improves prediction of metastatic disease within 5 years after surgery in node-negative high-risk prostate cancer patients managed by radical prostatectomy without adjuvant therapy.

Sample Metadata Fields

Age

View Samples
accession-icon GSE51066
A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy
  • organism-icon Homo sapiens
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

BACKGROUND: Due to their varied outcomes, men with biochemical recurrence (BCR) following radical prostatectomy (RP) present a management dilemma. Here, we evaluate Decipher, a genomic classifier (GC), for its ability to predict metastasis following BCR.

Publication Title

A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE79915
Utilization of a Genomic Classifier for Prediction of Metastasis Following Salvage Radiation Therapy after Radical Prostatectomy
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

To test whether a genomic classifier (GC) predicts development of metastatic disease in patients treated with salvage radiation therapy (SRT) after radical prostatectomy (RP).

Publication Title

Utilization of a Genomic Classifier for Prediction of Metastasis Following Salvage Radiation Therapy after Radical Prostatectomy.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE19249
Quantitative Gene Expression Profiling in Formalin-Fixed Paraffin-Embedded Samples by Affymetrix Microarrays
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: To date, few studies have systematically characterized microarray gene expression signal performance with degraded RNA from formalin-fixed paraffin-embedded (FFPE) specimens in comparison to intact RNA from unfixed fresh-frozen (FF) specimens.

Publication Title

Quantitative expression profiling in formalin-fixed paraffin-embedded samples by affymetrix microarrays.

Sample Metadata Fields

Specimen part, Subject

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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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