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accession-icon GSE45544
Ewing sarcoma compared to a normal body map
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Primary pediatric Ewing sarcoma (ES), one uncharacterized sarcoma as well as primary and well established ES cell lines were compared to probes of different normal tissues

Publication Title

Distinct transcriptional signature and immunoprofile of CIC-DUX4 fusion-positive round cell tumors compared to EWSR1-rearranged Ewing sarcomas: further evidence toward distinct pathologic entities.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE30929
Whole-transcript expression data for liposarcoma
  • organism-icon Homo sapiens
  • sample-icon 119 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma.

Publication Title

Expression profiling of liposarcoma yields a multigene predictor of patient outcome and identifies genes that contribute to liposarcomagenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE22852
Gastrointestinal stromal tumor GIST: gene expresssion and ChIP analyses
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE19396
ETV1 knockdown in GIST cell lines
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

ETV1 is highly expressed in GIST cells and required for their survival and growth. To identify genes and pathways regulated by ETV1 in GIST, we performed expression profiles of GIST cells after ETV1 knockdown.

Publication Title

ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE22433
Imatinib Treatment of GIST882
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Gastrointestinal Stromal Tumor frequently harbor mutations in the KIT receptor tyrosine kinase and depend on its activity for growth. This underlies the efficacy of imatinib, a inhibitor of KIT activity, in GIST management. GIST882 is a patient derived GIST cell line that harbor a K640E exon 13 KIT mutation and is sensitive to imatinib treatment. To analyze the downstream effect of KIT inhibition, GIST882 cells were treated for 8 hours with 1M Imatinib.

Publication Title

ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours.

Sample Metadata Fields

Cell line

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accession-icon GSE51697
The effect of imatinib therapy on tumor associated macrophages (TAMs) in human gastrointestinal stromal tumor (GIST)
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The gene expression profile of TAMs microbead isolated from freshly obtained human GISTs were compared in tumors that were untreated, responding to imatinib (sensitive), or resistant to imatinib (resistant)

Publication Title

KIT oncogene inhibition drives intratumoral macrophage M2 polarization.

Sample Metadata Fields

Specimen part

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accession-icon GSE51698
The effect of imatinib therapy on tumor associated macrophages (TAMs) in murine gastrointestinal stromal tumor (GIST)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The gene expression profile of TAMs sorted from vehicle control tumors in GIST mice (Sommer et al, PNAS 2003) was compared to TAMs sorted from mice after 2 weeks of imatinib therapy

Publication Title

KIT oncogene inhibition drives intratumoral macrophage M2 polarization.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP075490
RNA-Seq experiments performed on rat Schwann (S16) cells
  • organism-icon Rattus norvegicus
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We utilized RNA-Seq on rat Schwann (S16) cells to determine global gene expression. This information was generated as part of a larger effort to characterize cis-regulatory elements and global gene expression within Schwann cells. To achieve this, we generated RPKM values across two independent biological replicates. This dataset was also used to predict cis-regulatory element function on genes following CRISPR knockout studies. Overall design: Performed two technical replicates of RNA-Seq on two independent biological replicates of S16 cells

Publication Title

A genome-wide assessment of conserved SNP alleles reveals a panel of regulatory SNPs relevant to the peripheral nerve.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP051642
RNA-Seq of murine GIST-like tumors after Etv1 ablation
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We used a mouse expressing three alleles 1) KitV558Delta/+ activating allele that develop GIST-like tumors in the cecum, 2) Etv1 flox/flox conditional knockout allele and 3) Rosa26-CreERT2 tamoxifen activated Cre allele. Mice were treated with either Tamoxifen (to delete Etv1) or corn oil (control). Cecal tumors were isolated for gene expression profiling by RNA-Seq. Overall design: Expression profile mouse cecal GIST tumor with or without Etv1 ablation was generated by RNA-Seq

Publication Title

Combined inhibition of MAP kinase and KIT signaling synergistically destabilizes ETV1 and suppresses GIST tumor growth.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP073333
Role of COP1 on MAP kinase transcriptional output in gastrointestinal stromal tumor
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

COP1 regulates MAP kinase dependent stability Pea3 transcription factors. We determined the role of COP1 in the regulation of MAP kianse transciptional output. We transfected GIST882 cells with siRNA against a scrambled sequence and two sequences against COP1. We treated cells for 8 hours with vehicle or 100 nM PD0325901 in duplicate and isolated RNA for sequencing. Overall design: Examination of transcriptome in COP1 intact and COP1 loss GIST882 GIST cells in response to MAP kinase inhibition.

Publication Title

COP1/DET1/ETS axis regulates ERK transcriptome and sensitivity to MAPK inhibitors.

Sample Metadata Fields

Cell line, Treatment, 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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