This SuperSeries is composed of the SubSeries listed below.
Master regulators of FGFR2 signalling and breast cancer risk.
Specimen part, Cell line
View SamplesGenome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways
Master regulators of FGFR2 signalling and breast cancer risk.
Cell line
View SamplesGenome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways
Master regulators of FGFR2 signalling and breast cancer risk.
Cell line
View SamplesGenome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways
Master regulators of FGFR2 signalling and breast cancer risk.
Cell line
View SamplesGenome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways
Master regulators of FGFR2 signalling and breast cancer risk.
Specimen part
View SamplesSince fibroblasts are a key component of the stroma with an established role in cancer, we investigated the contribution of fibroblasts to the signature observed in the stromal compartment. 13 clonally derived primary stromal fibroblasts were generated from metaplasia, dysplasia and EAC specimens. Expression of a panel of known fibroblast markers and concomitant absence of epithelial markers confirmed their fibroblastic origin. Gene expression profiling of these esophageal fibroblasts demonstrated that three ontologies related to an invasive phenotype (chemotaxis, cell adhesion, regulation of angiogenesis) differentiated cancer associated from BE fibroblasts. Furthermore, the ontologies and KEGG pathways relating to inflammation were all statistically upregulated in the fibroblast signature.
Stromal genes discriminate preinvasive from invasive disease, predict outcome, and highlight inflammatory pathways in digestive cancers.
Sex, Age, Specimen part, Disease
View SamplesWe considered the possibility that removal of E2F4, as a key regulator of cellular quiescence, would cause systemic perturbations in the expression of E2F4 bound genes involved in cell cycle and proliferation. To test whether these pertubrations were reflected in the adult tissues' gene expression programs, we compared the gene expression profile of E2F4 double knockout mice to the gene expression found in identical tissues from E2F4 heterozygous littermates, that are phenotypically normal. We selected liver, testes, and kidney to profile by gene expression analysis, because two of these tissues are affected at some point during development when E2F4 is missing.
Cell cycle genes are the evolutionarily conserved targets of the E2F4 transcription factor.
Sex, Age, Specimen part, Disease, Disease stage, Subject
View SamplesWe used microarrays to further detail a transcriptional signature of TRIM44 by globally assessing genes that have changes in expression upon knockdown on TRIM44 using two independent SiRNAs targetting the gene (in duplicate) and All Stars Negative siRNA (in quadruplicate) as a control
No associated publication
Cell line, Treatment
View SamplesWe used microarrays to identify a transcriptional signature of oxidative stress induced senescence in a hepatocyte cell line (HepG2) by globally assessing differential gene expression after treatment with 0.5mM of H2O2 for 60 minutes, compared to nontreated cells as a control.
No associated publication
Cell line, Treatment
View SamplesCastrate-resistant prostate cancer (CRPC) is poorly characterized and heterogeneous and while the androgen receptor (AR) is of singular importance in early prostate cancer, other factors such as c-Myc and the E2F family also play a role in later stage disease. Hes6 is a transcription co-factor that has been associated with neurogenesis during gastrulation, a neuroendocrine phenotype in the prostate and metastasis in breast cancer but its role in prostate cancer remains uncertain. Here we show that Hes6 is controlled by c-Myc and AR and drives castration resistance in prostate cancer. Hes6 activates a cell-cycle enhancing transcriptional network that maintains tumour growth and nuclear AR localization in castrate conditions. We show aphysical interaction between E2F1 and both Hes6 and AR, and suggest a co-dependency of these transcription factors in castration-resistance. In the clinical setting, we have uncovered a Hes6-associated signature that predicts poor outcome in prostate cancer, which can be pharmacologically targeted. We have therefore shown for the first time the critical role of Hes6 in the development of CRPC and identified its potential in patient specific therapeutic strategies.
HES6 drives a critical AR transcriptional programme to induce castration-resistant prostate cancer through activation of an E2F1-mediated cell cycle network.
Specimen part, Disease, Cell line
View Samples