Project description:Prostate cancer is readily curable if detected early. The overall goal of this study is to conduct integrative profiling of tumor and blood genomics and transcriptomics.
Project description:Prostate cancer is readily curable if detected early. The overall goal of this study is to conduct integrative profiling of tumor and blood genomics and transcriptomics.
Project description:Prostate cancer is readily curable if detected early. The overall goal of this study is to conduct integrative profiling of tumor and blood genomics and transcriptomics.
Project description:Prostate cancer is readily curable if detected early. The overall goal of this study is to conduct integrative profiling of tumor and blood genomics and transcriptomics.
Project description:To identify genomic regions which display concordant epigenetics alterations in prostate cancer, we performed MeDIP and ChIP-on-chip profiling of normal prostate epithelial cells (PrEC) and the prostate cancer cell line LNCaP. These promoter arrays were integrated with expression arrays of the same cells to discover and characterise regions of Long Range Epigenetic Silencing (LRES) in prostate cancer.
Project description:This SuperSeries is composed of the following subset Series: GSE32676: Integrative Survival-Based Molecular Profiling of Human Pancreatic Cancer [mRNA] GSE32678: Integrative Survival-Based Molecular Profiling of Human Pancreatic Cancer [miRNA] GSE32682: Integrative Survival-Based Molecular Profiling of Human Pancreatic Cancer [SNP] Refer to individual Series
Project description:Tumour cells sustain their high proliferation rate through metabolic reprogramming, whereby cellular metabolism shifts from oxidative phosphorylation to aerobic glycolysis, even under normal oxygen levels. HIF1A is a major regulator of this process but activation of HIF1A under normoxic conditions, termed pseudohypoxia, is not well documented. Here, using an integrative approach combining the first genome-wide mapping of chromatin binding for an endocytic adaptor, ARRB1, both in vitro and in vivo with gene expression profiling, we demonstrate that nuclear ARRB1 contributes to this metabolic shift in prostate cancer cells via regulation of Hypoxia Inducible Factor 1A (HIF1A) transcriptional activity under normoxic conditions through regulation of succinate dehydrogenase A (SDHA) and fumarate hydratase (FH) expression. ARRB1-induced pseudohypoxia may facilitate adaptation of cancer cells to growth in the harsh conditions that are frequently encountered within solid tumours. Our study is the first example of an endocytic adaptor protein regulating metabolic pathways. It implicates ARRB1 as a potential tumour promoter in prostate cancer and highlights the importance of metabolic alterations in prostate cancer. In an attempt to identify the ARRB1 cistrome in prostate cancer cells, C4-2 prostate cancer cells expressing endogenous levels of ARRB1 were used to ChIP for ARRB1, p300 (previously shown to interact with ARRB1within transcriptional complexes), RNA PolII and histone markers H3K4me1 and H4K4me3 (markers for enhancer and promoter regions, respectively). Cells were untreated and cultured in FBS supplemented with 10%FBS. In parallel, C4-2 cells stably expressing a nuclear form of ARRB1 (nucARRB1) were also used to ChIP the same complexes under the same conditions. Finally, human prostate tissue was used to ChIP for ARRB1 and histone markers.
Project description:Using laser capture microdissection to isolate over 100 specific cell populations, we report the profiling of prostate cancer progression from benign epithelium to metastatic disease. By analyzing these expression signatures in the context of over 15,000 “molecular concepts”, or sets of biologically connected genes, we generated an integrative model of prostate cancer progression. Keywords: disease state analysis
Project description:Here we used Illumina NGS for high-throughput profiling of the DNA methylome in seven human benign prostate tissues, seven human primary prostate cancer and six human castration resistant prostate cancer patient samples. These data were used to profile the CpG cytosine methylation pattern at single base resolution in each sample and to determine differentially methylated cytosines and regions among samples. Enhanced Reduced Representation Bisulfite Sequencing (ERRBS, MspI,150M-bM-^@M-^S400 bp size fractions) of 20 human prostate tissues (benign prostate tissues, localized and metastatic prostate cancer)