Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0376358 (prostate cancer)
 59,338 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The Polycomb Group (PcG) protein EZH2 is a critical component of a multiprotein complex that methylates Lys(27) of histone 3 (H3K27), which consequently leads to the repression of target gene expression. We have previously reported that EZH2 is overexpressed in metastatic prostate cancer and is a marker of aggressive diseases in clinically localized solid tumors. However, the global set of genes directly regulated by PcG in tumors is largely unknown, and thus how PcG mediates tumor progression remains unclear. Herein we mapped genome-wide H3K27 methylation in aggressive, disseminated human prostate cancer tissues. Integrative analysis revealed that a significant subset of these genes are also targets of PcG in embryonic stem cells, and their repression in tumors is associated with poor prognosis. By stepwise cross-validation, we developed a "Polycomb repression signature" composed of 14 direct targets of PcG in metastatic tumors. Notably, solid tumor subtypes in which this gene signature is repressed show poor clinical outcome in multiple microarray data sets of tumors including breast and prostate cancer. Taken together, our results show a fingerprint of PcG-mediated transcriptional repression in metastatic prostate cancer that is reminiscent of stem cells and associated with cancer progression. Therefore, PcG proteins play a central role in the epigenetic silencing of target genes and functionally link stem cells, metastasis, and cancer survival.
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PMID:A polycomb repression signature in metastatic prostate cancer predicts cancer outcome. 1800 6

Molecular biomarkers can serve as useful diagnostic markers, as prognostic markers for predicting clinical behavior, or as targets for new therapeutic strategies. Application of expression microarray technology, which allows the expression of all or most of the genes in the human genome to be analyzed simultaneously, has dramatically enhanced the discovery of prostate cancer biomarkers. The diagnostic markers identified include AMACR (alpha-methylacyl CoA racemase), a protein that has already been translated into clinical use as an aid in distinguishing prostate cancer from benign disease. Individual genes, such as the polycomb gene EZH2 whose expression indicates poor survival, have been identified. The power of microarray technology is that it has allowed the identification of gene signatures (each composed of multiple genes) that might provide improved prediction of clinical outcomes in human prostate cancer. The development of a new method for analyzing expression microarray data, called COPA, has led to the discovery of TMPRSS2-ERG gene fusion involvement in the development of prostate cancer, while expression analysis of castration-resistant prostate cancer has suggested the use of novel therapeutic approaches for advanced disease. Despite these successes, there are limitations in the application of microarray technology to prostate cancer; for example, unlike with other cancers, this approach has failed to provide a consistent unsupervised classification of the disease. Overcoming the reasons for these failures represents a major challenge for future research endeavors.
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PMID:Mechanisms of Disease: biomarkers and molecular targets from microarray gene expression studies in prostate cancer. 1805 48

Incidental prostate cancer (PCa) has been demonstrated at autopsy in about 80% of men aged 80 years and above and also in 10%-15% of younger men aged 30-50 years in the United States. These data imply a wide variation in aggressiveness of prostate cancer, from indolent tumors to aggressive cancers that kill the patients. The use of prostate specific antigen (PSA) in screening for PCa may detect even indolent disease for which radical prostatectomy may not be necessary. Currently available criteria such as histological grade, PSA level, stage of the disease do not always predict outcome. Furthermore, only about 80% of men with metastatic PCa will respond to first line hormone manipulation and once the patient develops hormone resistant prostate cancer (HRPCa), survival remains poor. Recent genomic and proteomic studies have provided many novel molecular markers that may help to redefine prognostic parameters. This paper is a review of studies using these novel markers in order to determine whether prostate cancer patients with the following characteristics have more aggressive cancer than those without: a) high serum levels of cathepsin B, survivin, Her - 2 / neu, IGFBP-2; b) low serum stefin A, IGFBP-3, c) positive immuno-staining of primary tumors for Her-2/neu, survivin and cathepsin B / stefin A ratio > 1 and d) gene expression of AMACR, HER-2/neu, high Bcl-2: Bax ratio and EZH2 in cancer cells. These markers have been chosen for review because they are among the most promising markers emerging currently.
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PMID:The importance of determining the aggressiveness of prostate cancer using serum and tissue molecular markers. 1840 43

Epigenetic silencing in cancer cells is mediated by at least two distinct histone modifications, polycomb-based histone H3 lysine 27 trimethylation (H3K27triM) and H3K9 dimethylation. The relationship between DNA hypermethylation and these histone modifications is not completely understood. Using chromatin immunoprecipitation microarrays (ChIP-chip) in prostate cancer cells compared to normal prostate, we found that up to 5% of promoters (16% CpG islands and 84% non-CpG islands) were enriched with H3K27triM. These genes were silenced specifically in prostate cancer, and those CpG islands affected showed low levels of DNA methylation. Downregulation of the EZH2 histone methyltransferase restored expression of the H3K27triM target genes alone or in synergy with histone deacetylase inhibition, without affecting promoter DNA methylation, and with no effect on the expression of genes silenced by DNA hypermethylation. These data establish EZH2-mediated H3K27triM as a mechanism of tumor-suppressor gene silencing in cancer that is potentially independent of promoter DNA methylation.
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PMID:Gene silencing in cancer by histone H3 lysine 27 trimethylation independent of promoter DNA methylation. 1848 29

The polycomb proteins BMI-1, EZH2, and SIRT1 are characteristic components of the PRC1, PRC2, and PRC4 repressor complexes, respectively, that modify chromatin. Moreover, EZH2 may influence DNA methylation by direct interaction with DNA methyltransferases. EZH2 expression increases during prostate cancer progression, whereas BMI-1 and SIRT1 are not well investigated. Like EZH2 expression, DNA methylation alterations escalate in higher stage prostate cancers, raising the question whether these epigenetic changes are related. Expression of EZH2, BMI-1, SIRT1, and the DNA methyltransferases DNMT1 and DNMT3B measured by qRT-PCR in 47 primary prostate cancers was compared to APC, ASC, GSTP1, RARB2, and RASSF1A hypermethylation and LINE-1 hypomethylation. SIRT1 and DNMT3B were overexpressed in cancerous over benign tissues, whereas BMI-1 was rather downregulated and DNMT1 significantly diminished. Nevertheless, cancers with higher DNMT1 and BMI-1 expression had worse clinical characteristics, as did those with elevated EZH2. In particular, above median DNMT1 expression predicted a worse prognosis. EZH2 and SIRT1 overexpression were well correlated with increased MKI67. Immunohistochemistry confirmed limited EZH2 and heterogeneous DNMT3B overexpression and explained the decrease in BMI-1 by pronounced heterogeneity among tumor cells. EZH2 overexpression, specifically among all factors investigated, was associated with more frequent hypermethylation, in particular of GSTP1 and RARB2, and also with LINE-1 hypomethylation. Our data reveal complex changes in the composition of polycomb repressor complexes in prostate cancer. Heterogeneously expressed BMI-1 and slightly increased EZH2 may characterize less malignant cancers, whereas more aggressive cases express both at higher levels. SIRT1 appears to be generally increased in prostate cancers. Intriguingly, our data suggest a direct influence of increased EZH2 on altered DNA methylation patterns in prostate cancer.
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PMID:Expression changes in EZH2, but not in BMI-1, SIRT1, DNMT1 or DNMT3B are associated with DNA methylation changes in prostate cancer. 1863 71

Selected transcript markers as well as their combinations were analyzed on minimal prostate tissue specimens with regard to their diagnostic potential. Artificial prostate biopsies from RPE explants were used for evaluation and optimization of the techniques used followed by application to diagnostic prostate needle core biopsies. Minimal prostate specimens were cryopreserved and processed with standardized methods. The RNA amount of a half of each biopsy was sufficient for the analysis of 11 marker genes and one reference gene (TBP) using quantitative PCR assays.The relative transcript amounts obtained were included in several analyses including calculations for each single marker gene like median overexpression rate as well as marker combinations. Two optimized mathematical models based on relative expression levels of EZH2, hepsin, PCA3, prostein, and TRPM8 were evaluated with regard to their diagnostic potential. Compared to single marker analyses these models show higher sensitivity and specificity for prostate cancer detection.Thus biomolecular prostate cancer identification may represent a suitable diagnostic tool to supplement conventional techniques on prostate biopsies. Furthermore, an extension of this approach to PCa prognosis and the transfer to urine samples appear very promising.
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PMID:[Molecular genetic markers for prostate cancer. Evidence in fine needle biopsies for improved confirmation of the diagnosis]. 1867 47

Substantial evidence now supports the view that epigenetic changes have a role in the development of human prostate cancer. Analyses of the patterns of epigenetic alteration are providing important insights into the origin of this disease and have identified specific alterations that may serve as useful diagnostic and prognostic biomarkers. Examination of cancer methylation patterns supports a stem cell origin of prostate cancer. It is well established that methylation of GSTpi is a marker of prostate cancer, and global patterns of histone marking appear to be linked to cancer prognosis with levels of acetylated histones H3K9, H3K18, and H4K12, and of dimethylated H4R3 and H3K4, dividing low-grade prostate cancer (Gleason 6 or less) into two prognostically separate groups. Elevated levels of several components of the polycomb group protein complex, EZH2, BMI1, and RING1, can also act as biomarkers of poor clinical outcome. Many components of the epigenetic machinery, including histone deacetylase (whose expression level is linked to the TMPRSS2:ERG translocation) and the histone methylase EZH2, are potential therapeutic targets. The recent discovery of the role of small RNAs in governing the epigenetic status of individual genes offers exciting new possibilities in therapeutics and chemoprevention.
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PMID:Concepts of epigenetics in prostate cancer development. 1900 69

Limited information is available concerning the expression and role of microRNAs in prostate cancer. In this study, we investigated the involvement of miR-205 in prostate carcinogenesis. Significantly lower miR-205 expression levels were found in cancer than in normal prostate cell lines as well as in tumor compared with matched normal prostate tissues, with a particularly pronounced reduction in carcinomas from patients with local-regionally disseminated disease. Restoring the expression of miR-205 in prostate cancer cells resulted in cell rearrangements consistent with a mesenchymal-to-epithelial transition, such as up-regulation of E-cadherin and reduction of cell locomotion and invasion, and in the down-regulation of several oncogenes known to be involved in disease progression (i.e., interleukin 6, caveolin-1, EZH2). Our evidence suggests that these events are driven by the concurrent repression of specific predicted miR-205 targets, namely N-chimaerin, ErbB3, E2F1, E2F5, ZEB2, and protein kinase Cepsilon. Strikingly, the latter seemed to play a direct role in regulating epithelial-to-mesenchymal transition. In fact, its down-regulation led to a cell phenotype largely reminiscent of that of cells ectopically expressing miR-205. Overall, we showed for the first time that miR-205 exerts a tumor-suppressive effect in human prostate by counteracting epithelial-to-mesenchymal transition and reducing cell migration/invasion, at least in part through the down-regulation of protein kinase Cepsilon.
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PMID:miR-205 Exerts tumor-suppressive functions in human prostate through down-regulation of protein kinase Cepsilon. 1924 18

The genetic variants underlying the strong heritable component of prostate cancer remain largely unknown. Genome-wide association studies of prostate cancer have yielded several variants that have significantly replicated across studies, predominantly in cases unselected for family history of prostate cancer. Additional candidate gene variants have also been proposed, many evaluated within familial prostate cancer study populations. Such variants hold great potential value for risk stratification, particularly for early-onset or aggressive prostate cancer, given the comorbidities associated with current therapies. Here, we investigate a Caucasian study population of 523 independent familial prostate cancer cases and 523 age-matched controls without a personal or family history of prostate cancer. We replicate identified associations at genome-wide association study loci 8q24, 11q13, and 2p15 (P = 2.9 x 10(-4) to P = 4.7 x 10(-5)), showing study population power. We also find evidence to support reported associations at candidate genes RNASEL, EZH2, and NKX3-1 (P = 0.031 to P = 0.0085). We further explore a set of candidate genes related to RNASEL and to its role in retroviral restriction, identifying nominal associations at XPR1 and RBM9. The effects at 8q24 seem more pronounced for those diagnosed at an early age, whereas at 2p15 and RNASEL the effects were more pronounced at a later age. However, these trends did not reach statistical significance. The effects at 2p15 were statistically significantly more pronounced for those diagnosed with aggressive disease.
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PMID:Genetic variants and prostate cancer risk: candidate replication and exploration of viral restriction genes. 1956 9

Prostate cancer is the most commonly diagnosed malignancy in males in the Western world. This review focuses on advances in biomarker discovery for prostate cancer by microarray profiling of mRNA and microRNA expression. Novel biomarkers are strongly needed to enable more accurate detection of prostate cancer, improve prediction of tumor aggressiveness and facilitate discovery of new therapeutic targets for tailored medicine. Promising molecular markers identified from gene expression profiling studies include AMACR, EZH2, TMPRSS2-ERG, miR-221 and miR-141, which are described in more detail. In addition, a compilation of prognostic gene expression signatures for prediction of prostate cancer patient outcome is provided, and their possible clinical utility is discussed. Furthermore, limitations in the application of microarray-based expression profiling for identification of prostate cancer biomarkers are addressed.
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PMID:Discovery of prostate cancer biomarkers by microarray gene expression profiling. 2001 22


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