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accession-icon GSE64300
Tolerance associated gene expression following allogeneic hematopoietic cell transplantation
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Biologic markers of immune tolerance may facilitate tailoring of immune suppression duration after allogeneic hematopoietic cell transplantation (HCT). In a cross-sectional study, peripheral blood samples were obtained from tolerant (n=15, median 38.5 months post-HCT) and non-tolerant (n=17, median 39.5 post-HCT) HCT recipients and healthy control subjects (n=10) for analysis of immune cell subsets and differential gene expression. There were no significant differences in immune subsets across groups. We identified 281 probe sets unique to the tolerant (TOL) group and 122 for non-tolerant (non-TOL). These were enriched for process networks including NK cell cytotoxicity, antigen presentation, lymphocyte proliferation, and cell cycle and apoptosis. Differential gene expression was enriched for CD56, CD66, and CD14 human lineage-specific gene expression. Differential expression of 20 probe sets between groups was sufficient to develop a classifier with > 90% accuracy, correctly classifying 14/15 TOL cases and 15/17 non-TOL cases. These data suggest that differential gene expression can be utilized to accurately classify tolerant patients following HCT. Prospective investigation of immune tolerance biologic markers is warranted.

Publication Title

Tolerance associated gene expression following allogeneic hematopoietic cell transplantation.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE7553
Gene Expression Patterns Involved in the Malignant Transformation and Progression of Metastatic Melanoma
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Metastatic melanoma is a deadly disease while non-metastatic melanoma and other cutaneous tumor types are usually cured with surgical removal of the primary tumors. This study evaluated gene expresion to determine if gene expression differences existed which would allow one to identify the metastatic tumors based on the expression of specific genes.

Publication Title

The gene expression profiles of primary and metastatic melanoma yields a transition point of tumor progression and metastasis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14333
Expression data from 290 primary colorectal cancers
  • organism-icon Homo sapiens
  • sample-icon 289 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Samples were taken from colorectal cancers in surgically resected specimens in 290 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133Plus 2.0 arrays. The training set of our prognosis classifier included the stage A and D samples. Validation used our stage B and C samples.

Publication Title

Metastasis-Associated Gene Expression Changes Predict Poor Outcomes in Patients with Dukes Stage B and C Colorectal Cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE17538
Experimentally Derived Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 234 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer.

Sample Metadata Fields

Sex, Age, Disease stage, Race

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accession-icon GSE17536
Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients (Moffitt Samples)
  • organism-icon Homo sapiens
  • sample-icon 170 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background and Aims: Staging inadequately predicts metastatic risk in colon cancer patients. We used a gene expression profile derived from invasive murine colon cancer cells that were highly metastatic in an immunocompetent mouse model to identify colon cancer patients at risk for recurrence in a phase I, exploratory biomarker study.

Publication Title

Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer.

Sample Metadata Fields

Sex, Age, Disease stage, Race

View Samples
accession-icon GSE17537
Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients (VMC Samples)
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background and Aims: Staging inadequately predicts metastatic risk in colon cancer patients. We used a gene expression profile derived from invasive murine colon cancer cells that were highly metastatic in an immunocompetent mouse model to identify colon cancer patients at risk for recurrence in a phase I, exploratory biomarker study.

Publication Title

Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer.

Sample Metadata Fields

Sex, Age, Disease stage, Race

View Samples
accession-icon GSE19073
An Experimentally Derived Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Functional genomics approach to metastatic colon cancer

Publication Title

Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE19072
Loss of Rab25 promotes the development of intestinal neoplasia
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of Rab25 in human colon samples

Publication Title

Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer.

Sample Metadata Fields

Sex, Age, Race

View Samples
accession-icon GSE23603
Gene expression in ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.

Sample Metadata Fields

Disease stage, Cell line

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accession-icon GSE23553
Gene expression changes with induction of in-vitro platinum-resistance in ovarian cancer cell lines.
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We treated 8 human ovarian cancer cell lines with cisplatin in treatment/recovery cycles to induce in-vitro resistance to the drug. Microarrays measured gene expression at baseline and after each dose schedule (after recovery).

Publication Title

BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.

Sample Metadata Fields

Cell line

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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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