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accession-icon GSE37892
A seven-gene signature aggregates a subgroup of stage II colon cancers with stage III.
  • organism-icon Homo sapiens
  • sample-icon 128 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Colorectal cancer is one of the most common cancers in the world. Histological staging is efficient but combination with molecular markers may improve tumors classification. Gene expression profiles have been defined as prognosis predictors among stage II and III tumors but their implementation in medical practice remains controversial. Stage-II tumors have been recognized as a heterogeneous group and high-risk morphologic features have been retained as justifying adjuvant chemotherapy. We propose here the investigation of clinical features and expression profiles from stage II and stage III colon carcinomas without DNA mismatch repair defect. A series of 130 colon cancer samples was retained. Expression profiles were established on oligonucleotide microarrays and processed in the R/Bioconductor environment. Hierarchical then supervised analyses were successively performed applying the data-sampling approach. A molecular signature of seven genes was found to cluster stage III tumors with an adjusted p-values lower than 10^-10. A subgroup of stage-II tumors aggregated this cluster in both series. No correlation was found between with the disease severity but the function of the discriminating genes suggests that tumors have been classified according to their putative response to adjuvant targeted or classic therapies. Further pharmacogenetic studies might document this observation.

Publication Title

A seven-gene signature aggregates a subgroup of stage II colon cancers with stage III.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE26906
APC colon stage II
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of expression profiles in stage II colon cancer according to the APC gene status

Publication Title

Expression Profiles in Stage II Colon Cancer According to APC Gene Status.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE23980
Expression data from human soft tissue sarcomas with complex genomics
  • organism-icon Homo sapiens
  • sample-icon 164 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Differentially expressed genes between 171 human soft tissue sarcomas with complex genomics

Publication Title

From PTEN loss of expression to RICTOR role in smooth muscle differentiation: complex involvement of the mTOR pathway in leiomyosarcomas and pleomorphic sarcomas.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE71121
Expression data (micro-array and RNA-seq, frozen tumors and FFPE blocks) from various sarcomas
  • organism-icon Homo sapiens
  • sample-icon 259 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

RNA sequencing validation of the Complexity INdex in SARComas prognostic signature.

Sample Metadata Fields

Time

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accession-icon GSE71118
Expression data (micro-array, frozen tumors) from various sarcomas
  • organism-icon Homo sapiens
  • sample-icon 259 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We validated the technological and material transfers of the CINSARC signature.

Publication Title

RNA sequencing validation of the Complexity INdex in SARComas prognostic signature.

Sample Metadata Fields

Time

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accession-icon GSE42932
TGF-beta 1 effect on primary bovine aortic endothelial cells
  • organism-icon Bos taurus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Analysis of primary bovine aortic endothelial cells treated for 24 hours with TGF-beta 1 5 ng/ml. TGF-beta 1 has been shown to induce endothelial-to-mesenchymal transition (EndoMT) and to be implicated in differentiation of endothelial cells into smooth muscle-like cells as occurred in vascular neointimal formation.

Publication Title

LOXL4 is induced by transforming growth factor β1 through Smad and JunB/Fra2 and contributes to vascular matrix remodeling.

Sample Metadata Fields

Specimen part

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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 GSE8951
A light-independent allele of phytochrome B faithfully recapitulates photomorphogenic transcriptional networks
  • organism-icon Arabidopsis thaliana
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Dominant gain-of-function alleles of Arabidopsis phytochrome B were recently shown to confer light-independent, constitutive photomorphogenic (cop) phenotypes to transgenic plants (Su & Lagarias 2007 Plant Cell 19, 2124-2139). In the present study, comparative transcript profiling experiments were performed to assess whether the pattern of gene expression regulated by these alleles accurately reflects the process of photomorphogenesis in wild-type Arabidopsis. Whole genome transcriptional profiles of dark-grown phyAphyB seedlings expressing the Y276H mutant of phyB (YHB) revealed that YHB reprograms about 13% of the Arabidopsis transcriptome in a light-independent manner. The YHB-regulated transcriptome proved qualitatively similar to, but quantitatively greater than those of wild-type seedlings grown under 15 or 50 umol m-2 m-1 continuous red light (Rc). Among the 2977 genes statistically significant two-fold (SSTF) regulated by YHB in the absence of light include those encoding components of the photosynthetic apparatus, tetrapyrrole/pigment biosynthetic pathways and early light-responsive signaling factors. Approximately 80% of genes SSTF regulated by Rc were also YHB-modulated. Expression of a notable subset of 346 YHB-regulated genes proved to be strongly attenuated by Rc, indicating compensating regulation by phyC-E and/or other Rc-dependent processes. Since the majority of these 346 genes are regulated by the circadian clock, these results suggest that phyA- and phyB-independent light signaling pathway(s) strongly influence clock output. Together with the unique plastid morphology of dark-grown YHB seedlings, these analyses indicate that the YHB mutant induces constitutive photomorphogenesis via faithful reconstruction of phyB signaling pathways in a light-independent fashion.

Publication Title

A light-independent allele of phytochrome B faithfully recapitulates photomorphogenic transcriptional networks.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE40967
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics
  • organism-icon Homo sapiens
  • sample-icon 585 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

Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.

Sample Metadata Fields

Sex

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accession-icon GSE39582
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]
  • organism-icon Homo sapiens
  • sample-icon 585 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

From a clinical and molecular perspective, colon cancer (CC) is a heterogeneous disease but to date no classification based on high-density transcriptome data has been established. The aim of this study was to build up a robust molecular classification ofmRNA expression profiles (Affymetrix U133Plus2) ofa large series of 443 CC and 19 non-tumoral colorectal mucosas, and to validate it on an independent serie of 123 CC and 906 public dataset.We identified and validated six molecular subtypes in this large cohort as a combination of multiple molecular processes that complement current disease stratification based on clinicopathological variables and molecular markers. The biological relevance of these subtypes was consolidated by significant differences in survival. These insights open new perspectives for improving prognostic models and targeted therapies.

Publication Title

Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.

Sample Metadata Fields

Sex

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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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