A urine-based DNA methylation assay, ProCUrE, to identify clinically significant prostate cancer.

BACKGROUND: Prevention of unnecessary biopsies and overtreatment of indolent disease remains a challenge in the management of prostate cancer. Novel non-invasive tests that can identify clinically significant (intermediate-risk and high-risk) diseases are needed to improve risk stratification and monitoring of prostate cancer patients. Here, we investigated a panel of six DNA methylation biomarkers in urine samples collected post-digital rectal exam from patients undergoing prostate biopsy, for their utility to guide decision making for diagnostic biopsy and early detection of aggressive prostate cancer. RESULTS: We recruited 408 patients in risk categories ranging from benign to low-, intermediate-, and high-risk prostate cancer from three international cohorts. Patients were separated into 2/3 training and 1/3 validation cohorts. Methylation biomarkers were analyzed in post-digital rectal exam urinary sediment DNA by quantitative MethyLight assay and investigated for their association with any or aggressive prostate cancers. We developed a Prostate Cancer Urinary Epigenetic (ProCUrE) assay based on an optimal two-gene (HOXD3 and GSTP1) LASSO model, derived from methylation values in the training cohort, and assessed ProCUrE's diagnostic and prognostic ability for prostate cancer in both the training and validation cohorts. ProCUrE demonstrated improved prostate cancer diagnosis and identification of patients with clinically significant disease in both the training and validation cohorts. Using three different risk stratification criteria (Gleason score, D'Amico criteria, and CAPRA score), we found that the positive predictive value for ProCUrE was higher (59.4-78%) than prostate specific antigen (PSA) (38.2-72.1%) for all risk category comparisons. ProCUrE also demonstrated additive value to PSA in identifying GS ≥ 7 PCa compared to PSA alone (DeLong's test p = 0.039), as well as additive value to the PCPT risk calculator for identifying any PCa and GS ≥ 7 PCa (DeLong's test p = 0.011 and 0.022, respectively). CONCLUSIONS: ProCUrE is a promising non-invasive urinary methylation assay for the early detection and prognostication of prostate cancer. ProCUrE has the potential to supplement PSA testing to identify patients with clinically significant prostate cancer.

Comparing diagnostic and prognostic performance of two-gene promoter methylation panels in tissue biopsies and urines of prostate cancer patients.

BACKGROUND: Prostate cancer (PCa) is one of the most common cancers among men worldwide. Current screening methods for PCa display limited sensitivity and specificity, not stratifying for disease aggressiveness. Hence, development and validation of new molecular markers is needed. Aberrant gene promoter methylation is common in PCa and has shown promise as clinical biomarker. Herein, we assessed and compared the diagnostic and prognostic performance of two-gene panel promoter methylation in the same sample sets. METHODS: Promoter methylation of panel #1 (singleplex-miR-34b/c and miR-193b) and panel #2 (multiplex-APC, GSTP1, and RARß2) was evaluated using MethyLight methodology in two different cohorts [prostate biopsy (#1) and urine sediment (#2)]. Biomarkers' diagnostic (validity estimates) and prognostic (disease-specific survival, disease-free survival, and progression-free survival) performance was assessed. RESULTS: Promoter methylation levels of both panels showed the highest levels in PCa samples in both cohorts. In tissue samples, methylation panel #1 and panel #2 detected PCa with AUC of 0.9775 and 1.0, respectively, whereas in urine samples, panel #2 demonstrated superior performance although a combination of miR-34b/c, miR-193b, APC, and RARß2 disclosed the best results (AUC = 0.9817). Furthermore, higher mir-34b/c and panel #2 methylation independently predicted for shorter DSS. Furthermore, time-dependent ROC curves showed that both miR-34b/c and GSTP1 methylation levels identify with impressive performance patients that relapse up to 15 years after diagnosis (AUC = 0.751 and AUC = 0.765, respectively). CONCLUSIONS: We concluded that quantitative gene panel promoter methylation might be a clinically useful tool for PCa non-invasive detection and risk stratification for disease aggressiveness in both tissue biopsies and urines.

Uroplakin IIIa Is a Marker in Bladder Cancer but Seems Not to Reflect Chemical Carcinogenesis.

BACKGROUND: Uroplakins are glycoproteins investigated as potential markers of urothelial carcinoma. However, their role in chemical carcinogenesis is uncertain. In this study the diagnostic value of plasma and urine uroplakin IIIa (UPIIIa) levels in bladder cancer (BC) was investigated, particularly in the aspect of environmental exposure to chemical carcinogens, measured by DNA damage and detoxification ability in the BC smoking group. The correlation between uroplakin, 8-OHdG, and GSTπ was investigated. MATERIAL AND METHODS: This study included 61 BC patients and 33 healthy controls. UPIIIa, 8-OHdG, and GSTπ levels were estimated by the immunoenzymatic method (ELISA). RESULTS: UPIIIa levels were elevated in BC patients in plasma (p≤0.001) and in urine (p≤0.001), as were 8-OHdG and GSTπ levels in urine. Moreover, the 8-OHdG level was higher in invasive or high grade tumors. A positive correlation between UPIIIa/GSTπ and 8-OHdG/GSTπ was observed, but no UPIIIa/8-OHdG correlation was noted. CONCLUSION: The study showed the diagnostic value of urine and plasma UPIIIa in BC (good sensitivity, specificity, and predictive value). The lack of UPIIIa correlation with 8-OHdG and smoking suggests that UPIIIa does not reflect the environmental exposure. The increased levels of 8-OHdG and GSTπ in the invasive tumor stage indicate their value in BC monitoring.

Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery.

BACKGROUND: Acute kidney injury (AKI) after cardiovascular surgery is a serious complication. Little is known about the ability of novel biomarkers in combination with clinical risk scores for prediction of advanced AKI. METHODS: In this prospectively conducted multicenter study, urine samples were collected from 149 adults at 0, 3, 6, 12 and 24 h after cardiovascular surgery. We measured urinary hemojuvelin (uHJV), kidney injury molecule-1 (uKIM-1), neutrophil gelatinase-associated lipocalin (uNGAL), α-glutathione S-transferase (uα-GST) and π-glutathione S-transferase (uπ-GST). The primary outcome was advanced AKI, under the definition of Kidney Disease: Improving Global Outcomes (KDIGO) stage 2, 3 and composite outcomes were KDIGO stage 2, 3 or 90-day mortality after hospital discharge. RESULTS: Patients with advanced AKI had significantly higher levels of uHJV and uKIM-1 at 3, 6 and 12 h after surgery. When normalized by urinary creatinine level, uKIM-1 in combination with uHJV at 3 h post-surgery had a high predictive ability for advanced AKI and composite outcome (AUC = 0.898 and 0.905, respectively). The combination of this biomarker panel (normalized uKIM-1, uHJV at 3 h post-operation) and Liano's score was superior in predicting advanced AKI (AUC = 0.931, category-free net reclassification improvement of 1.149, and p <  0.001). CONCLUSIONS: When added to Liano's score, normalized uHJV and uKIM-1 levels at 3 h after cardiovascular surgery enhanced the identification of patients at higher risk of progression to advanced AKI and composite outcomes.

Genomic Pathology and Cancer Biomarkers: Prostate Cancer.

Our understanding of genomic pathology and biomarkers for prostate cancer is continually growing. Some promising and useful tissue markers are GSTP1, HOXD3, cell cycle proteins, chromatin remodeling proteins, androgen receptor, Stat5a/b, ERG, and PTEN. Serum and urine markers are mostly either prostate-specific antigen or newer tests using one or more other kallikreins or sarcosine. The data and evidence for all of these markers and the commercial tests using them are reviewed here.

Urinary π-glutathione S-transferase Predicts Advanced Acute Kidney Injury Following Cardiovascular Surgery.

Urinary biomarkers augment the diagnosis of acute kidney injury (AKI), with AKI after cardiovascular surgeries being a prototype of prognosis scenario. Glutathione S-transferases (GST) were evaluated as biomarkers of AKI. Urine samples were collected in 141 cardiovascular surgical patients and analyzed for urinary alpha-(α-) and pi-(π-) GSTs. The outcomes of advanced AKI (KDIGO stage 2, 3) and all-cause in-patient mortality, as composite outcome, were recorded. Areas under the receiver operator characteristic (ROC) curves and multivariate generalized additive model (GAM) were applied to predict outcomes. Thirty-eight (26.9%) patients had AKI, while 12 (8.5%) were with advanced AKI. Urinary π-GST differentiated patients with/without advanced AKI or composite outcome after surgery (p < 0.05 by generalized estimating equation). Urinary π-GST predicted advanced AKI at 3 hrs post-surgery (p = 0.033) and composite outcome (p = 0.009), while the corresponding ROC curve had AUC of 0.784 and 0.783. Using GAM, the cutoff value of 14.7 µg/L for π-GST showed the best performance to predict composite outcome. The addition of π-GST to the SOFA score improved risk stratification (total net reclassification index = 0.47). Thus, urinary π-GST levels predict advanced AKI or hospital mortality after cardiovascular surgery and improve in SOFA outcome assessment specific to AKI.

Molecular Diagnostic of Prostate Cancer From Body Fluids Using Methylation-Specific PCR (MS-PCR) Method.

BACKGROUND: Worldwide prostate cancer (PCa) represents the 2nd leading cause of cancer related deaths among men. Currently, the screening for early detection of PCa is based on determination of serum prostate-specific antigen (PSA) levels. But this biomarker presents some disadvantages related to its specificity and sensitivity. In our study, we want to determine if methylation levels of the glutathione S-transferase P1 (GSTP1) gene could be used as a new biomarker for the early detection of PCa and to distinguish between malignant and benign pros-tatic lesions. METHODS: To determine the methylation levels of the GSTP1 gene, 31 men with histopathological diagnosis of prostate adenocarcinoma and 34 men with the histopathological diagnosis of benign prostatic hyperplasia (BPH) as controls were included in the study group. The genomic DNA was extracted from urine samples. We analyzed the methylation levels of the GSTP1 gene by methylation-specific polymerase chain reaction (MS-PCR) method. RESULTS: In prostate cancer patients 27 of 31 (87%) presented hypermethylated levels of the GSTP1 gene, whereas 4 of 34 (11.8%) BPH patients had hypermethylated levels of the GSTP1 gene. Further, in the case of these four patients a second biopsy was done, which confirmed the diagnosis of prostate adenocarcinoma. Using the receiver operating curve (ROC), we obtained a specificity of 87% and a sensitivity of 98% for the GSTP1 gene. CONCLUSIONS: We can conclude that GSTP1 represents a new molecular biomarker which can aid in early detection of PCa and be used to discriminate between benign and malignant prostatic lesions from body fluids by noninvasive methods.

Urinary Biomarkers for Prostate Cancer.

In light of the overdiagnosis and overtreatment associated with widespread prostate-specific antigen-based screening, controversy persists surrounding the detection and diagnosis of prostate cancer (PCa). Given its anatomic proximity to the prostate, urine has been proposed as a noninvasive substrate for prostatic biomarkers. With greater understanding of the molecular pathways of carcinogenesis and significant technological advances, the breadth of potential biomarkers is substantial. In this review, the authors aim to provide an evidence-based assessment of current and emerging urinary biomarkers used in the detection and prognostication of PCa and high-grade PCa, with particular attention on clinically relevant findings.

Tubular Injury Biomarkers to Detect Gentamicin-Induced Acute Kidney Injury in the Neonatal Intensive Care Unit.

OBJECTIVE: We evaluated whether urinary excretion of tubular injury markers could be useful for early detection of gentamicin (GM)-induced renal damage in neonates. STUDY DESIGN: We conducted a prospective, observational trial in neonates admitted to the neonatal intensive care unit (26 GM treated, 20 control). Kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), N-acetyl-ß-D-glucosaminidase (NAG), and π- and α-glutathione-S-transferase (GSTP1-1 and GSTA1-1) were measured every 2 hours during admission and compared with serum creatinine (sCr) and urine output. RESULTS: Nine neonates developed AKI during the course of the study. The peak in excretion of urinary biomarkers preceded the peak in sCr (p < 0.0001). GM administration resulted in a more pronounced increase of sCr compared with control (13 [12-28] vs. 10 µmol/L [8.5-17]; p < 0.05). The urinary excretion of NAG (178 [104-698] vs. 32 ng/mol Cr [9-82]; p < 0.001) and NGAL (569 [168-1,681] vs. 222 ng/mol Cr [90-497]; p < 0.05) was higher in the GM group compared with control and preceded the peak of sCr and urine output decrease. CONCLUSION: GM administration to neonates is associated with renal damage reflected by a more pronounced increase in sCr preceded by urinary excretion of biomarkers. Urinary biomarkers may be useful for earlier identification of renal injury in neonates.

Urinary biomarkers for prostate cancer: a review.

Although the routine use of serum prostate-specific antigen (PSA) testing has undoubtedly increased prostate cancer (PCa) detection, one of its main drawbacks is its lack of specificity. As a consequence, many men undergo unnecessary biopsies or treatments for indolent tumours. PCa-specific markers are needed for the early detection of the disease and the prediction of aggressiveness of a prostate tumour. Since PCa is a heterogeneous disease, a panel of tumour markers is fundamental for a more precise diagnosis. Several biomarkers are promising due to their specificity for the disease in tissue. However, tissue is unsuitable as a possible screening tool. Since urine can be easily obtained in a non-invasive manner, it is a promising substrate for biomarker testing. This article reviews the biomarkers for the non-invasive testing of PCa in urine.

Study of genetic and epigenetic alterations in urine samples as diagnostic markers for prostate cancer.

BACKGROUND: Early diagnosis of prostate cancer and identification of new prognostic factors remain main issues in prostate cancer research. In this study, we sought to test a panel of cancer-specific markers in urine samples as an aid for early cancer diagnosis. MATERIALS AND METHODS: Sedimented urine samples of 66 candidates for needle biopsy were tested. Real time-polymerase chain reaction (RT-PCR) was applied to detect the expression of transmembrane protease serine-2 and Ets-related gene fusion (TMPRSS2-ERG), Ets-related gene (ERG), prostate cancer antigen-3 (PCA3), and serine peptidase inhibitor kazal type-1 (SPINK1) transcripts. For testing of the methylation status of Glutahione S-tranferase P (GSTP1) and Ras association domain family member-1(RASSF1A) promoter region, methylation-specific PCR (MSP-PCR) was applied. RESULTS: Among the tested parameters, the presence of TMPRSS2-ERG (OR=9.044, 95% CI=2.207-37.066, p=0.002), as well as a positive test result for PCA3 (OR=7.549, 95% CI=1,858-30,672, p=0.005) were associated with the subsequent diagnosis of prostate cancer. A multivariable logistic regression including all the significantly associated variables [prostate-specific antigen (PSA), digital rectal examination (DRE), TMPRSS2-ERG and PCA3], yielded a model with area under the receiver-operating characteristic curve (AUC) =0.894 (95% CI=0.772-1.00). CONCLUSION: A multiplexed quantitative PCR analysis on sedimented urine, in conjunction with the results of serum PSA levels and DRE, has the potential to accurately foresee subsequent needle biopsy outcomes. On the basis of the above, algorithms may be designed to guide decisions for needle biopsy.

Frequent methylation of RASSF1 and RARB in urine sediments from patients with early stage prostate cancer.

BACKGROUND. Prostate cancer (PCa) is the second most prevalent malignancy among males, characterized by high mortality rates. Aberrant DNA methylation in promoters of tumor suppressor genes is an early and frequent event during prostate carcinogenesis. Modern techniques allow a sensitive detection of DNA methylation biomarkers in bodily fluids from cancer patients offering a noninvasive tool for PCa monitoring. Our study aimed at the analysis of DNA methylation in urine sediments from PCa patients for the selection of most informative noninvasive biomarkers. MATERIAL AND METHODS. Real-time methylation-specific polymerase chain reaction was used for the detection of methylated RASSF1, RARB, and GSTP1 genes in catheterized urine specimens from 34 patients with biopsy-proven early or medium stage PCa. RESULTS. At least one gene was methylated in urine sediments from 28 cases with PCa, with a sensitivity of the test reaching 82%. RASSF1 was methylated in 71% (24 of 34), RARB in 44% (15 of 34), and GSTP1 in 3% (1 of 34) of the specimens. High level of methylation (≥50%) in RARB and RASSF1 genes was detected in 40% and 20% of cases, respectively. A significant association was observed between high level of RARB methylation and Gleason score (P=0.01), while methylation of at least one gene occurred more frequently in urine DNA of older patients (P=0.02). CONCLUSIONS. Results of our study show a high sensitivity of DNA methylation biomarkers, especially RASSF1 and RARB, for the early and noninvasive detection of PCa.

[Alternative tests to PSA for prostate cancer diagnosis]. / Nuovi test in competizione con il PSA per la diagnosidel carcinoma prostatico.

Prostate specific antigen (PSA) is still the most useful tool to select the population requiring prostatebiopsy. The main downsides of PSA are an inadequate sensitivity to be used in screening and a low specificity for cancer detection. So far, a limited value for PSA derivates (velocity, density, free, proisoforms and doubling time) has been recognised. We present a short review of the literature describing a selection of the most promising alternatives to PSA being studied currently: PCA3, serum kallikreins, serum detectable prostate specific membrane antigen, the nuclear matrix protein EPCA, EPCA-2, prostatic acid phosphatase, urine detectable GSTP1, anti-AMACR antibodies, sarcosine, plasminogen activating urokinase, IGFBP, TGF beta 1,PSP94, IL6, plasmatic DNA, serum autoantibodies, neuroendocrine markers, proteomic analysis.

Urine markers in monitoring for prostate cancer.

The major advantages of urine-based assays are their noninvasive character and ability to monitor prostate cancer with heterogeneous foci. Almost all urine-detectable prostate-specific markers have been recently reviewed. For this reason, we focus here on only a few promising markers which have been independently evaluated (in particular PCA3, fusion genes, TERT, AMACR, GSTP1, MMP9 and VEGF) and very recent ones (ANXA3 and sarcosine). The emphasis is also on multiplex biomarker analysis and on microarray-based analysis of fusion genes. A combination of multiple urine biomarkers may be valuable in the case of men with persistently elevated serum prostate-specific antigen and a history of negative biopsies. The emerging urine tests should help in both early diagnosis of prostate cancer and identifying aggressive tumors for radical treatment.

Potentially detrimental effects of N-acetylcysteine on renal function in knee arthroplasty.

Ischaemia/reperfusion induces systemic inflammation and oxidative stress and thereby remote organ injury in the kidney. In a double-blind, placebo-controlled clinical trial of 30 patients undergoing knee arthroplasty with tourniquet, this study evaluated the effect of N-acetylcysteine (NAC) infusion on renal function by measuring urine alpha-1-microglobulin, N-acetyl-beta-D-glucosaminidase (NAG), glutathione-S-transferase-alpha and -phi and serum creatinine and cystatin C concentrations up to 24 h post-operatively. Compared to the baseline, urine alpha-1-microglobulin/creatinine increased in both groups and was higher in the NAC group than in the placebo group at tourniquet deflation and at 3 h thereafter. Urine NAG/creatinine increased at deflation and at 3 h thereafter in the NAC group and the ratio was higher than in the placebo group. The two sensitive indicators of proximal tubular damage and function used in the present study suggest that use of NAC in clinical setting of ischaemia/reperfusion injury may increase the risk of remote kidney injury.

DNA methylation biomarkers of prostate cancer: confirmation of candidates and evidence urine is the most sensitive body fluid for non-invasive detection.

BACKGROUND: A prostate cancer (PCa) biomarker with improved specificity relative to PSA is a public health priority. Hypermethylated DNA can be detected in body fluids from PCa patients and may be a useful biomarker, although clinical performance varies between studies. We investigated the performance of candidate PCa DNA methylation biomarkers identified through a genome-wide search. METHODS: Real-time PCR was used to measure four DNA methylation biomarkers: GSTP1 and three previously unreported candidates associated with the genes RASSF2, HIST1H4K, and TFAP2E in sodium bisulfite-modified DNA. Matched plasma and urine collected prospectively from 142 patients referred for prostate biopsy and 50 young asymptomatic males were analyzed. RESULTS: Analysis of all biomarkers in urine DNA significantly discriminated PCa from biopsy negative patients. The biomarkers discriminated PCa from biopsy negative patients with AUCs ranging from 0.64 for HIST1H4K (95% CI 0.55-0.72, P < 0.00001) to 0.69 for GSTP1 (95% CI 0.60-0.77, P < 0.00001). All biomarkers showed minimal correlation with PSA. Multivariate analysis did not yield a panel that significantly improved performance over that of single biomarkers. All biomarkers showed greater sensitivity for PCa in urine than in plasma DNA. CONCLUSIONS: Analysis of the biomarkers in urine DNA significantly discriminated PCa from biopsy negative patients. The biomarkers provided information independent of PSA and may warrant inclusion in nomograms for predicting prostate biopsy outcome. The biomarkers' PCa sensitivity was greater for urine than plasma DNA. The biomarker performances in urine DNA should next be validated in formal training and test studies.

Biomarkers in prostate cancer diagnosis and prognosis: beyond prostate-specific antigen.

PURPOSE OF REVIEW: To review the most recent advances in genetic testing for prostate cancer risk and of new molecular diagnostic assays to improve diagnostic accuracy and treatment decision beyond prostate-specific antigen (PSA) testing. RECENT FINDINGS: Multiple independent studies had demonstrated evidence that genetic variations in three regions of chromosome 8q24 and one each at 17q12 and 17q24.3 are independent predictors of prostate cancer risk in addition to family history and serum PSA levels. The small percentage of individuals with several anomalies can have up to 10 times the risk of prostate cancer. Novel molecular urine tests have been studied, and the prostate cancer antigen 3 RNA detection has been studied most extensively and is now commercially available. It provides an independent and synergistic information to predict a higher or lower risk of prostate cancer at given PSA level and can further help predict the tumor volume and Gleason grade found on the prostatectomy specimen. Sensitivity of the prostate cancer antigen 3 test could be improved by the detection of the fusion gene transcripts transmembrane protease serine 2-E26 transformation specific-related gene and serine peptidase inhibitor Kazal type 1 who may in addition allow the identification of prostate cancer patients at higher risk of life-threatening disease. SUMMARY: The challenge in the years to come will be to introduce these new gene-based diagnostic and prognostic tests in algorithms integrating the other known risk factors of age, ethnicity, family history and PSA level to better tailor diagnostic and therapeutic strategies.

Methylation-specific sequencing of GSTP1 gene promoter in circulating/extracellular DNA from blood and urine of healthy donors and prostate cancer patients.

Hypermethylated promoters of cancer-related genes represent convenient targets for early cancer diagnosis and monitoring based on circulating/extracellular DNA (cir/exDNA) from human blood and urine. The frequency of detection of methylated tumor suppressor genes in plasma or urine samples is usually lower than in the samples of tumor tissue because of a low concentration of target DNA and potential polymorphism of cirDNA methylation. Sequencing of the methylated cir/exDNA of tumor suppression genes provides information about methylation of the cirDNA originating from the tumor cells, which is necessary for optimization of cancer diagnosis. In this work, by sequencing chemically converted cir/exDNA, we have studied the cytosine methylation profile of GSTP1 gene promoter (1001-1302, X08058) in the pool of cir/exDNA from the blood and urine of healthy men, prostate cancer (PCa) patients, and patients with benign prostatic hyperplasia (BPH). We demonstrated that the data on cir/exDNA methylation could be obtained from sequencing of the cir/exDNA from blood and urine. The DNA isolated from blood plasma and the eluates of blood cells and urine of each patient were characterized by the same methylation profile of the GSTP1 gene. The profile of GSTP1 gene methylation in the extracellular DNA of PCa patients differs from the profiles characteristic of healthy donors and patients with BPH.

Tubular function in diabetic children assessed by Tamm-Horsfall protein and glutathione S-transferase.

In a previous study, we found urinary excretion of Tamm-Horsfall protein (THP) to be persistently decreased in 25% of patients during the first year after diagnosis of diabetes mellitus. We thus wanted to study another marker for distal tubular function, pi glutathione S-transferase (pi-GST) and compare this and THP with proximal tubular function evaluated with alpha-GST and alpha-1-microglobulin (HC) in patients with longer duration of diabetes. One hundred and eighty-four diabetic and 16 control children were studied with timed overnight urine collections. Median age was 14 years, and median age at diagnosis was 8 years. The urinary excretion of alpha- and pi-GST was significant lower in diabetic than control children. There were no differences in the excretion of HC and THP. Diabetic children with decreased alpha-GST had higher albumin excretion, HbA 1c levels, and longer diabetes duration but decreased THP excretion and cystatin-C clearance compared with those with normal excretion. In contrast, a decreased pi-GST or THP excretion was not associated with such differences. Diabetic children with increased HC excretion had increased HbA 1c levels. Diabetic children, before the stage of microalbuminuria, may have signs of both proximal and distal tubular dysfunction, which is related to diabetes duration and poor metabolic control. Alpha-GST and pi-GST seem to be more sensitive than other parameters studied.

The usefulness of the detection of GSTP1 methylation in urine as a biomarker in the diagnosis of prostate cancer.

PURPOSE: Prostate cancer has a unique set of problems associated with its early detection and diagnosis that might be aided by the addition of molecular markers, such as DNA hypermethylation. DNA methylation is an important epigenetic mechanism of gene regulation that has a critical role in normal developmental processes. Aberrant DNA methylation is a hallmark of carcinogenesis and GSTP1 hypermethylation is the most common molecular alteration in human prostate cancer. To our knowledge the clinical usefulness of the detection of gene methylation is yet to be established. MATERIALS AND METHODS: We evaluated GSTP1 hypermethylation in urine collected after prostatic massage and in core needle biopsies from 100 men referred for diagnostic biopsy. RESULTS: Methylation of GSTP1 in urine specimens had 75% sensitivity and 98% specificity for prostate cancer. GSTP1 methylation in the biopsy had 88% specificity and 91% sensitivity. Interestingly we observed a higher frequency of GSTP1 methylation in the urine of men with stage III vs II disease (100% vs 20%, p = 0.05). CONCLUSIONS: This study suggests that the detection of GSTP1 methylation in prediagnostic urine may improve the specificity of PSA and help distinguish men with prostate cancer from those with benign prostatic hyperplasia. This finding should be further explored in a larger, prospective screening trial.