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GSE38467
Homo sapiens
448 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations associated with cancer predisposition and large numbers of somatic genomic alterations. However, it remains challenging to distinguish between background, or passenger and causal, or driver cancer mutations in these datasets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations. To test the hypothesis that genomic variations and tumour viruses may cause cancer via related mechanisms, we systematically examined host interactome and transcriptome network perturbations caused by DNA tumour virus proteins. The resulting integrated viral perturbation data reflects rewiring of the host cell networks, and highlights pathways that go awry in cancer, such as Notch signalling and apoptosis. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on par with their identification through functional genomics and large-scale cataloguing of tumour mutations. These complementary approaches together result in increased specificity for cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate prioritization of cancer-causing driver genes so as to advance understanding of the genetic basis of human cancer.
Publication Title
Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 39 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
We obtained gene expression data and HD-SNP6.0 copy number data from PTL, PCNSL and PMLBCL samples and performed an integrative analysis on them. RNA was whole genome amplified using Nugen.
Publication Title
Targetable genetic features of primary testicular and primary central nervous system lymphomas.
Sample Metadata Fields
Disease, Disease stage
View Samples- Homo sapiens
- 217 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
As part of a large study regarding the epigenetics of CLL we also acquired 3UTR expression arrays.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 188 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
We performed gene expression profiling of laser capture microdissected normal non-neoplastic prostate (cystoprostatectomies) epithelial tissue and compared it to non-transformed and neoplastic low and high grade prostate epithelial tissue from radical prostatectomies, each with its immediately surrounding stroma.
Publication Title
Stromal and epithelial transcriptional map of initiation progression and metastatic potential of human prostate cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 180 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To understand the molecular curcuits perturbed by BET bromodoman inhibtion we obtained gene expression profiling of five DLBCL cell lines, SU-DHL6, OCI-Ly1, OCI-Ly4, Toledo and HBL-1, which were treated with either 500nM JQ1 or DMSO for 0,2,6,12,24 and 48hr.
Publication Title
Discovery and characterization of super-enhancer-associated dependencies in diffuse large B cell lymphoma.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Time
View Samples- Homo sapiens
- 175 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Gene Expression profiling of 170 newly diagnosed Multiple Myeloma patients
Publication Title
A small molecule inhibitor of ubiquitin-specific protease-7 induces apoptosis in multiple myeloma cells and overcomes bortezomib resistance.
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 146 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We compared gene expression profiles of CLL patients with and without MYD88 L265P mutations, taking into consideration IGHV mutation status.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 137 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We obtained gene experssion profiles of 52 newly diagnosed diffuse large B-cell lymphoma (DLBCL).
Publication Title
Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 125 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Predictors built from gene expression data accurately predict ER, PR, and HER2 status, and divide tumor grade into high-grade and low-grade clusters; intermediate-grade tumors are not a unique group. In contrast, gene expression data cannot be used to predict tumor size or lymphatic-vascular invasion.
Publication Title
Predicting features of breast cancer with gene expression patterns.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 92 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Urothelial carcinoma of the bladder is characterized by significant variability in clinical outcomes depending on stage and grade. The addition of molecular information may improve our understanding of such heterogeneity and enhance prognostic prediction. The purpose of this study was to validate and improve published prognostic signatures for high-risk bladder cancer.
Publication Title
Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer.
Sample Metadata Fields
Sex
View Samples