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

Previous studies suggest that enzymes involved in the androgen metabolic pathway are susceptibility factors for prostate cancer. Estrogen metabolites functioning as genotoxins have also been proposed as risk factors. In this study, we systematically tested the hypothesis that common genetic variations for those enzymes involved in the androgen and estrogen metabolic pathways increase risk for sporadic and familial prostate cancer. From these two pathways, 46 polymorphisms (34 single nucleotide polymorphisms, 10 short tandem repeat polymorphisms, and 2 null alleles) in 25 genes were tested for possible associations. Those genes tested included PRL, LHB, CYP11A1, HSD3B1, HSD3B2, HSD17B2, CYP17, SRD5A2, AKR1C3, UGT2B15, AR, SHBG, and KLK3 from the androgen pathway and CYP19, HSD17B1, CYP1A1, CYP1A2, CYP1B1, COMT, GSTP1, GSTT1, GSTM1, NQO1, ESR1, and ESR2 from the estrogen pathway. A case-control study design was used with two sets of cases: familial cases with a strong prostate cancer family history (n = 438 from 178 families) and sporadic cases with a negative prostate cancer family history (n = 499). The controls (n = 493) were derived from a population-based collection. Our results provide suggestive findings for an association with either familial or sporadic prostate cancer with polymorphisms in four genes: AKR1C3, HSD17B1, NQO1, and GSTT1. Additional suggestive findings for an association with clinical variables (disease stage, grade, and/or node status) were observed for single nucleotide polymorphisms in eight genes: HSD3B2, SRD5A2, SHBG, ESR1, CYP1A1, CYP1B1, GSTT1, and NQO1. However, none of the findings were statistically significant after appropriate corrections for multiple comparisons. Given that the point estimates for the odds ratio for each of these polymorphisms are <2.0, much larger sample sizes will be required for confirmation.
 ...
PMID:Evaluation of genetic variations in the androgen and estrogen metabolic pathways as risk factors for sporadic and familial prostate cancer. 1750 24

Polycyclic aromatic hydrocarbon (PAH)-DNA adducts may induce mutations that contribute to carcinogenesis. We evaluated potential associations between smoking and polymorphisms in PAH metabolism [CYP1A1 Ile 462Val, CYP1B1 Ala 119Ser and Leu 432Val, microsomal epoxide hydrolase (mEH) Tyr 113His and His139Arg, CYP3A4 A(-392)G] and conjugation [glutathione S-transferase (GST) M1 null deletion, GSTP1 Ile 105Val] genes and PAH-DNA adduct levels (measured by immunohistochemistry) in tumor and nontumor prostate cells in 400 prostate cancer cases. Although no statistically significant associations were observed in the total sample, stratification by ethnicity revealed that Caucasian ever smokers compared with nonsmokers had higher adduct levels in tumor cells (mean staining intensity in absorbance units +/- SE, 0.1748 +/- 0.0052 versus 0.1507 +/- 0.0070; P = 0.006), and Caucasians carrying two mEH 139Arg compared with two 139His alleles had lower adducts in tumor (0.1320 +/- 0.0129 versus 0.1714 +/- 0.0059; P = 0.006) and nontumor (0.1856 +/- 0.0184 versus 0.2291 +/- 0.0085; P = 0.03) cells. African Americans with two CYP1B1 432Val compared with two 432Ile alleles had lower adducts in tumor cells (0.1600 +/- 0.0060 versus 0.1970 +/- 0.0153; P = 0.03). After adjusting for smoking status, carrying the putative "high-risk" genotype combination, the faster metabolism of PAH-epoxides to PAH-diol-epoxides (CYP1B1 432Val/Val and mEH 139Arg/Arg) with lower PAH-diol-epoxide conjugation (GSTP1 (105)Ile/Ile), was associated with increased adducts only in Caucasian nontumor cells (0.2363 +/- 0.0132 versus 0.1920 +/- 0.0157; P= 0.05). We present evidence, for the first time in human prostate that the association between smoking and PAH-DNA adducts differs by race and is modified by common genetic variants.
 ...
PMID:Associations between smoking, polymorphisms in polycyclic aromatic hydrocarbon (PAH) metabolism and conjugation genes and PAH-DNA adducts in prostate tumors differ by race. 1754 91

Prostatic carcinoma is characterised by the silencing of the pi-class glutathione S-transferase gene (GSTP1), which encodes a detoxifying enzyme. The silencing of GSTP1 results from aberrant methylation at the CpG island in the promoter-5' and occurs in the vast majority of cases of high-grade prostatic intraepithelial neoplasia (PIN) and prostate cancers. We review the potential novel role of GSTP1 and its related expression in prostate cancer. The loss of expression (silencing) of the GSTP1 gene is the most common (>90%) genetic alteration reported to date in prostate cancer. Quantitative methylation-specific PCR assays allow detection of GSTP1 methylation in prostate biopsies and may improve the sensitivity of cancer detection. Advances in the epigenetic characterisation of prostate cancer have enabled the development of DNA methylation assays that may soon be used in diagnostic testing of serum and tissue for prostate cancer. Inhibition of aberrant promoter methylation could theoretically prevent carcinogenesis.
 ...
PMID:Glutathione S-transferase pi (GSTP1) hypermethylation in prostate cancer: review 2007. 1755 56

Our study was designed to evaluate Cell-Free DNA in sera of prostate cancer (PCA) patients as a useful biomarker. Real-time PCR was used to amplify a <200 bp PTGS2 DNA fragment that biochemically characterizes apoptosis and a larger >250 bp Reprimo DNA fragment that defines mostly other cell death entities. The apoptosis index (AI) expresses the ratio of PTGS2 to Reprimo DNA fragments. GSTP1 hypermethylation was assessed to evaluate the amount of tumor-derived DNA. We analyzed serum of 216 patients (168 PCA; 5 incidental PCA; 42 benign prostatic hyperplasia (BPH); 11 healthy individuals). Distinctly elevated concentrations of PTGS2 fragments were detected in PCA compared to BPH and healthy individuals (median: 70.2, 10.5 and 7.1 ng/ml, respectively; p < 0.0001). The AI was significantly increased in PCA vs. BPH patients and healthy individuals (6.01 vs. 1.54 and 0.84 respectively; p = 0.002-0.0001). GSTP1 hypermethylation was only present in a small percentage (mean 1.92%) of circulating DNA. Concentrations of apoptotic PTGS2 fragments discriminated sensitively (88%) and specifically (64%) between BPH and PCA, whereas the AI was more specific (82%) but less sensitive (70%). The AI correlated with histological grading (p = 0.044). Kaplan-Meier analysis for a subset of 124 patients revealed a significant correlation between apoptotic PTGS2 fragments or the AI and PSA recurrence following radical prostatectomy (p = 0.0395-0.0482). In conclusion, circulating PTGS2 fragments of apoptotic origin and the AI are promising serum biomarkers for the diagnosis and prognosis of PCA. We suggest that cancer-induced apoptosis of peripheral noncancerous tissues is relevant in many malignancies.
 ...
PMID:Noncancerous PTGS2 DNA fragments of apoptotic origin in sera of prostate cancer patients qualify as diagnostic and prognostic indicators. 1776 14

Promoter hypermethylation of circulating cell DNA has been advocated as a diagnostic marker for prostate cancer, but its prognostic use is currently unclear. To assess this role, we compared hypermethylation of circulating cell DNA from prostate cancer patients with (Group 1, n = 20) and without (Group 2, n = 22) disease progression and age-matched controls (benign prostatic hyperplasia, Group 3, n = 22). We measured hypermethylation of 10 gene promoters in 2 sequential venous samples, obtained at diagnosis and during disease progression (median time, 15 months later). Matched time samples were obtained in the nonprogressing patients. We found that more hypermethylation was detected in the diagnostic sample from the patients with cancer than in controls for GSTP1, RASSF1 alpha, APC and RAR beta (p < 0.0001). Patients undergoing disease progression had a significant increase in methylation levels of these 4 genes when compared to the other patients (p < 0.001). Patients at risk of disease progression have higher detectable concentrations of circulating cell hypermethylation, than those without progression. The extent of this hypermethylation increases during disease progression and can be used to identify the extent and duration of treatment response in prostate cancer.
 ...
PMID:Promoter hypermethylation in circulating blood cells identifies prostate cancer progression. 1796 Jun 17

Promoter hypermethylation is recognized as a hallmark of human cancer, in addition to conventional mechanisms of gene inactivation. As such, many new technologies have been developed over the past two decades to uncover novel targets of methylation and decipher complex epigenetic patterns. However, many of these are either labor intensive or provide limited data, confined to oligonucleotide hybridization sequences or enzyme cleavage sites and cannot be easily applied to screening large sets of sequences or samples. We present an application of denaturing high performance liquid chromatography (DHPLC), which relies on bisulfite modification of genomic DNA, for methylation screening. We validated DHPLC as a methylation screening tool using GSTP1, a well known target of methylation in prostate cancer. We developed an in silico approach to identify potential targets of promoter hypermethylation in prostate cancer. Using DHPLC, we screened two of these targets LGALS3 and SMAD4 for methylation. We show that DHPLC has an application as a fast, sensitive, quantitative and cost effective method for screening novel targets or DNA samples for DNA methylation.
 ...
PMID:Discovery of DNA hypermethylation using a DHPLC screening strategy. 1796 17

Up to 30% of men with clinically localized disease who receive radical prostatectomy develop a biochemical recurrence. Gene methylation in tumor tissue may distinguish men with aggressive cancer. This study evaluated methylation of GSTP1, RARb2, CD44 and PTGS2 with biochemical recurrence among 60 patients who underwent radical prostatectomy using logistic regression and Kaplan Meier time to event analysis. Methylation of GSTP1 and RARbeta2 was not associated with recurrence, however, CD44 and PTGS2 methylation were significant predictors. In multivariate models adjusting for Gleason grade, the methylation profile of CD44 and PTGS2 combined was an independent predictor of biochemical recurrence (associated with 9-fold increased risk). In addition, Kaplan Meier analysis showed CD44 and PTGS2 methylation was associated with shorter time to recurrence. CD44 and PTGS2 methylation may predict biochemical recurrence in prostate cancer patients undergoing radical prostatectomy and if validated in larger studies, may identify patients with aggressive cancer.
 ...
PMID:CD44 and PTGS2 methylation are independent prognostic markers for biochemical recurrence among prostate cancer patients with clinically localized disease. 1799 19

Aberrant gene silencing of genes through cytosine methylation has been demonstrated during the development of many types of cancers including prostate cancer Several genes including GSTP1 have been shown to be methylated in prostate cancer leading to the suggestion and demonstration that methylation status of such genes could be used as cancer diagnosis markers alone or in support of histology. We developed a bisulfite-free alternative, MethylScreen technology, an assay for DNA methylation detection utilizing combined restriction from both methylation-sensitive restriction enzymes (MSRE) and methylation-dependent restriction enzymes (MDRE). MethylScreen was used to analyze the 5' region of GSTP1 in cell lines, in vitro methylated DNA populations, and flash-frozen tissue samples in an effort to characterize the output and analytical performance characteristics of the assay. The output from the quantitative PCR assay suggested that it could not only detect fully methylated molecules in a mixed population below the 1% level, but it could also quantify the abundance of intermediately methylated molecules. Interestingly, the interpreted output from the four quantitative PCRs closely resembled the molecular population as described by clone-based bisulfite genomic sequencing.
 ...
PMID:MethylScreen: DNA methylation density monitoring using quantitative PCR. 1807 98

Glutathione S-transferases (GSTs) are involved in the metabolism of a wide range of carcinogenic chemicals. In humans, cytosol GSTs are divided into eight classes: alpha (GSTA), mu (GSTM), pi (GSTP), theta (GSTT), tau (GSTZ), sigma (GSTS), omicron (GSTO) and kappa (GSTK). The allelic polymorphism of these enzymes is associated with variations in enzyme activity; hence, it may affect the concentration of activated carcinogenic chemicals in the body. In addition to the metabolism of chemical carcinogens, GSTs metabolize steroid hormones, compounds in the diet and other agents potentially involved in prostate carcinogenesis. Three genetic polymorphisms of GSTs, GSTM1*0 (null), GSTT1*0 (null) and GSTP1 A313G, have been well documented. No consistent associations between GSTM1, GSTT1 or GSTP1 genotypes and prostate cancer have been observed. Recent meta-analysis reports show that these polymorphisms of GSTM1, GSTT1 and GSTP1 are unlikely to be major determinants of susceptibility to prostate cancer.
 ...
PMID:Genetic polymorphisms of human cytosol glutathione S-transferases and prostate cancer. 1815 51

To analyze the potential diagnostic relevance of free plasma DNA (FPDNA), we enrolled 64 patients with localized prostate cancer (CaP). FPDNA was quantified by real-time polymerase chain reaction assessment of the HTERT gene in blood samples from 64 patients with CaP and 45 healthy males. Methylation of the GSTP1 gene was used to confirm the neoplastic origin of FPDNA in selected cases. The mean +/- SD levels of FPDNA were higher in patients with CaP (15.4 +/- 10.9 ng/mL) than in control subjects (5.5 +/- 3.5 ng/mL; P <.001). By using the best cutoff value, the sensitivity of the test was 80%, the specificity was 82%, the area under the receiver operating characteristic curve, 0.881. High FPDNA values were significantly associated with pathologic T3 stage (P = . 035). Methylation of the GSTP1 gene was found in 4 (25%) of 16 FPDNA samples and 15 (94%) of 16 tissue samples. Quantification of FPDNA discriminates between patients with CaP and healthy subjects and correlates with pathologic tumor stage. FPDNA is a candidate biomarker for early diagnosis and monitoring of CaP.
 ...
PMID:Diagnostic role of circulating free plasma DNA detection in patients with localized prostate cancer. 1842 36


<< Previous 1 2 3 4 5 6 7 8 9 10 Next >>