This SuperSeries is composed of the SubSeries listed below.
Interplay of host microbiota, genetic perturbations, and inflammation promotes local development of intestinal neoplasms in mice.
Specimen part
View SamplesThe preferential localization of some neoplasms, such as serrated polyps, in specific areas of the intestine suggests that non-genetic factors may be important for their development. To test this hypothesis, we took advantage of transgenic mice that expressed HB-EGF throughout the intestine, but develop serrated polyps only in the cecum.
Interplay of host microbiota, genetic perturbations, and inflammation promotes local development of intestinal neoplasms in mice.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Tumour-initiating stem-like cells in human prostate cancer exhibit increased NF-κB signalling.
Cell line
View SamplesHuman prostate CWR22 OT-tumor cells were prospectively purified for expression of various stem cell markers (TRA-1-60/CD151/CD166/EpCAM/CD44/2-Integrin). Unsorted total tumor cells or the additional marker positive cells that do not manifest stem-like characteristics were used as control. All these cells were subjected to molecular profiling of total RNA expression and the fold change data are tabulated according to S/TFE of the purified cells in relation to their control.
Tumour-initiating stem-like cells in human prostate cancer exhibit increased NF-κB signalling.
Cell line
View SamplesClinical heterogeneity of esrtrogen receptor-negative, progesterone receptor-negative [ER(-)/PR(-)] breast cancer (BC) suggests biological heterogeneity. We performed gene expression analysis of primary BCs and BC cell lines to identify the underlying biology of ER(-)/PR(-) disease, define subsets, and identify potential therapeutic targets.
An estrogen receptor-negative breast cancer subset characterized by a hormonally regulated transcriptional program and response to androgen.
Specimen part, Disease, Disease stage, Treatment
View SamplesThe identification of genes that contribute to the biological basis for clinical heterogeneity and progression of prostate cancer is critical to accurate classification and appropriate therapy. We performed a comprehensive gene expression analysis of prostate cancer using oligonucleotide arrays with 63,175 probe sets to identify genes and expressed sequences with strong and uniform differential expression between nonrecurrent primary prostate cancers and metastatic prostate cancers. The mean expression value for >3,000 tumor-intrinsic genes differed by at least 3-fold between the two groups. This includes many novel ESTs not previously implicated in prostate cancer progression. Many differentially expressed genes participate in biological processes that may contribute to the clinical phenotype. One example was a strong correlation between high proliferation rates in metastatic cancers and overexpression of genes that participate in cell cycle regulation, DNA replication, and DNA repair. Other functional categories of differentially expressed genes included transcriptional regulation, signaling, signal transduction, cell structure, and motility. These differentially expressed genes reflect critical cellular activities that contribute to clinical heterogeneity and provide diagnostic and therapeutic targets.
Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesBesides the established selection criteria based on embryo morphology and blastomere number, new parameters for embryo viability are needed to improve the clinical outcome of in vitro fertilization (IVF) and more particular of elective single embryo transfer (eSET). The aim of the study was to analyse genome-wide whether the embryo viability was reflected by the expression of genes in the oocyte surrounding cumulus cells. Early cleavage (EC) was chosen as a parameter for embryo viability.
Differential gene expression in cumulus cells as a prognostic indicator of embryo viability: a microarray analysis.
No sample metadata fields
View SamplesComparisons among breast cancer metastases at different organs revealed distinct microenvironments as characterized by cytokine content.
Latent bone metastasis in breast cancer tied to Src-dependent survival signals.
No sample metadata fields
View SamplesComparisons among breast cancer metastases at different organs revealed distinct microenvironments as characterized by cytokine content.
Latent bone metastasis in breast cancer tied to Src-dependent survival signals.
No sample metadata fields
View SamplesComparisons among breast cancer metastases at different organs revealed distinct microenvironments as characterized by cytokine content.
Latent bone metastasis in breast cancer tied to Src-dependent survival signals.
No sample metadata fields
View Samples