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
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.
Specimen part, Cell line, Subject
View SamplesLiposarcoma 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.
Expression profiling of liposarcoma yields a multigene predictor of patient outcome and identifies genes that contribute to liposarcomagenesis.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours.
Specimen part, Cell line
View SamplesETV1 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.
ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours.
Specimen part, Cell line
View SamplesGastrointestinal 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.
ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours.
Cell line
View SamplesThe 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)
KIT oncogene inhibition drives intratumoral macrophage M2 polarization.
Specimen part
View SamplesThe 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
KIT oncogene inhibition drives intratumoral macrophage M2 polarization.
Specimen part
View SamplesWe 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
A genome-wide assessment of conserved SNP alleles reveals a panel of regulatory SNPs relevant to the peripheral nerve.
No sample metadata fields
View SamplesWe 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
Combined inhibition of MAP kinase and KIT signaling synergistically destabilizes ETV1 and suppresses GIST tumor growth.
No sample metadata fields
View SamplesCOP1 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.
COP1/DET1/ETS axis regulates ERK transcriptome and sensitivity to MAPK inhibitors.
Cell line, Treatment, Subject
View Samples