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accession-icon GSE53798
Expression data from malignant human B-cell cell lines
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used global gene expression profiles from human B-cell cell lines to generate gene expression signatures for prediction of response to the drugs cyclophosphamide, doxorubicin or vincristine. The signatures were validated in two publicly available clinical cohorts.

Publication Title

Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models.

Sample Metadata Fields

Disease, Cell line

View Samples
accession-icon GSE86622
Expression data from diagnostic samples of diffuse large B-cell lymphomas (DLBCL), follicular lymphoma (FL) and primary and relapsed transformed FL
  • organism-icon Homo sapiens
  • sample-icon 43 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

Molecular classification of tissue from a transformed non-Hogkin's lymphoma case with unexpected long-time remission.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE86613
Expression data from diagnostic samples of diffuse large B-cell lymphomas (DLBCL), follicular lymphoma (FL) and primary and relapsed transformed FL [RNA]
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Comparison of gene expression profiles from diagnostic samples of diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) to a patient case withsamples of primary and relapsed transformed FL

Publication Title

Molecular classification of tissue from a transformed non-Hogkin's lymphoma case with unexpected long-time remission.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56315
Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis
  • organism-icon Homo sapiens
  • sample-icon 84 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

Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56313
Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose

Publication Title

Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56314
Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose

Publication Title

Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE99636
Gene expression profiles of multiple myeloma plasma cell fractions from bone marrow
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Exon 1.0 ST Array [CDF: huex10st_Hs_ENSG_20.0 (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE107843
Gene expression profiles of multiple myeloma plasma cell fractions from bone marrow III
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Todays diagnostic tests for multiple myeloma (MM) reflect the criteria of the updated WHO classification based on biomarkers and clinicopathologic heterogeneity. To that end, we propose a new subtyping of myeloma plasma cells (PC) by B-cell subset associated gene signatures (BAGS), from the normal B-cell hierarchy in the bone marrow (BM). To do this, we combined FACS and GEP data from normal BM samples to generate classifiers by BAGS for the PreBI, PreBII, immature (Im), nave (N), memory (M) and PC subsets. The resultant tumor assignments in available clinical datasets exhibited similar BAGS subtype frequencies in four cohorts across 1302 individual cases. The prognostic impact of BAGS was analyzed in patients treated with high dose melphalan as first line therapy in three prospective trials: UAMS, HOVON65/GMMG-HD4 and MRC Myeloma IX with Affymetrix U133 plus 2.0 microarray data available from diagnostic myeloma PC samples. The BAGS subtypes were significantly associated with progression free (PFS) and overall survival (OS) (PFS, P=3.05e06 and OS, P=1.06e11) in a meta-analysis of 926 pts. The major impact was observed within the PreBII and M subtypes conferred with significant inferior prognosis compared to the Im, N and PC subtypes. Cox proportional hazard meta-analysis documented that the BAGS subtypes added significant and independent prognostic information to the TC classification system and ISS staging. BAGS subtype analysis identified transcriptome differences and a number of novel differentially spliced genes. We have identified hierarchal subtype differences in the myeloma plasma cells, with prognostic impact. This observation support an acquired reversible B-cell trait and phenotypic plasticity as a hallmark, also in MM.

Publication Title

A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE99634
Gene expression profiles of multiple myeloma plasma cell fractions from bone marrow I
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: huex10st_Hs_ENSG_20.0 (huex10st)

Description

Todays diagnostic tests for multiple myeloma (MM) reflect the criteria of the updated WHO classification based on biomarkers and clinicopathologic heterogeneity. To that end, we propose a new subtyping of myeloma plasma cells (PC) by B-cell subset associated gene signatures (BAGS), from the normal B-cell hierarchy in the bone marrow (BM). To do this, we combined FACS and GEP data from normal BM samples to generate classifiers by BAGS for the PreBI, PreBII, immature (Im), nave (N), memory (M) and PC subsets. The resultant tumor assignments in available clinical datasets exhibited similar BAGS subtype frequencies in four cohorts across 1302 individual cases. The prognostic impact of BAGS was analyzed in patients treated with high dose melphalan as first line therapy in three prospective trials: UAMS, HOVON65/GMMG-HD4 and MRC Myeloma IX with Affymetrix U133 plus 2.0 microarray data available from diagnostic myeloma PC samples. The BAGS subtypes were significantly associated with progression free (PFS) and overall survival (OS) (PFS, P=3.05e06 and OS, P=1.06e11) in a meta-analysis of 926 pts. The major impact was observed within the PreBII and M subtypes conferred with significant inferior prognosis compared to the Im, N and PC subtypes. Cox proportional hazard meta-analysis documented that the BAGS subtypes added significant and independent prognostic information to the TC classification system and ISS staging. BAGS subtype analysis identified transcriptome differences and a number of novel differentially spliced genes. We have identified hierarchal subtype differences in the myeloma plasma cells, with prognostic impact. This observation support an acquired reversible B-cell trait and phenotypic plasticity as a hallmark, also in MM.

Publication Title

A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Disease

View Samples
accession-icon GSE62834
Expression data from E15.5 mouse embryos
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The pancreatic beta cells are the only cells that can produce insulin in response to prevailing glycemia. The development of beta cells was found to be depending on the activity of a complex genetic network. Overexpression of transcriptional factor MafK in beta cells have resulted in impairment of thier functions and suppressed insulin secretion and increased the severity of beta cell loss resulting in an overt diabetes.

Publication Title

β-Cell-Specific Mafk Overexpression Impairs Pancreatic Endocrine Cell Development.

Sample Metadata Fields

Specimen part

View Samples
...

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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