Multigene Methylation Analysis for Detection and Staging of Prostate Cancer

Hypermethylation of genes for diagnosis and risk stratification of prostate cancer

To identify the relevant CpG sites as molecular markers, for the diagnosis and to distinguish the indolent and aggressive prostate tumors, we have determined the methylation status of 8 genes, including FLNC, EFS, ECRG4, RARB2, PITX2, GSTP1, PDLIM4, and KCNMA1 in 32 nonrecurrent, 32 recurrent primary prostate tumors, and 32 benign prostate tissues using EpiTYPER technology. Specific CpG site hypermethylation of RARB2 and GSTP1 CpG sites were useful for diagnosis of prostate cancer. Furthermore, CpG site hypermethylation of genes FLNC, EFS, ECRG4, PITX2, PDLIM4, and KCNMA1 were associated with prediction of biochemical, local, and systemic recurrence of prostate cancer.

DNA methylation changes in prostate cancer: current developments and future clinical implementation

Promoter hypermethylation is associated with the loss of expression of tumor-suppressor genes in cancer. Currently, several genome-wide technologies are available and have been utilized to examine the extent of DNA methylation in discovery-based studies involving several physiological and disease states. Although early in the process, aberrant DNA methylation is gaining strength in the fields of cancer risk assessment, diagnosis and therapy monitoring in different cancer types. There is a need to improve existing methods for early diagnosis of prostate cancer and to identify men at risk for developing aggressive disease. Because of the ubiquity of DNA methylation changes and the ability to detect methylated DNA in several body fluids (e.g., blood and urine), this specifically altered DNA may serve, on one hand, as a possible new screening marker for prostate cancer and, on the other hand, as a tool for therapy monitoring in patients having had neoplastic disease of the prostate. Since many prostate cancer patients present with advanced disease and some present with nonspecific elevation of prostate-specific antigen without prostate cancer, early detection with high specificity and sensitivity is considered to be one of the most important approaches to reduce mortality and unwanted tension of the men with high prostate-specific antigen. Therefore, an effective screening test would have substantial clinical benefits. Furthermore, methylation markers of risk of progression of disease in patients having prostate cancer permits immediate commencement of specific treatment regimens and probably longer survival and better quality of life. This review illustrates the current benefits and limitations of potentially useful prostate cancer methylation markers that have considerable existing data and touches upon other future markers as well as the field of methylation in prostate cancer.

Promoter methylation in APC, RUNX3, and GSTP1 and mortality in prostate cancer patients

PURPOSE There is a need to better understand prostate cancer progression and identify new prognostic markers for this tumor. We investigated the association between promoter methylation in a priori selected genes and survival in two independent large series of prostate cancer patients. METHODS We followed up with two cohorts of patients (216 patients diagnosed in 1982 to 1988 and 243 patients diagnosed in 1993 to 1996) diagnosed at one hospital pathology ward in Turin, Italy. DNA was obtained from paraffin-embedded tumor tissues and evaluated for promoter methylation status in glutathione S-transferase (GSTP1), adenomatous polyposis coli (APC), and runt-related transcription factor 3 (RUNX3). Results The two cohorts had different prevalences of methylation in APC (P = .047), GSTP1 (P = .002), and RUNX3 (P < .001). Methylation in APC was associated with an increased risk of prostate cancer-specific mortality (hazard ratio [HR] = 1.42; 95% CI, 0.98 to 2.07 in the 1980s cohort; HR = 1.57; 95% CI, 0.95 to 2.62 in the 1990s cohort; HR = 1.49; 95% CI, 1.11 to 2.00 in the two cohorts combined). In subgroup analyses, the HRs were higher among patients with a Gleason score less than 8 (HR = 1.52; 95% CI, 0.85 to 2.73 in the 1980s cohort; HR = 2.09; 95% CI, 1.02 to 4.28 in the 1990s cohort). Methylation in RUNX3 was associated with prostate cancer mortality only in the 1990s cohort, and methylation in GSTP1 did not predict mortality in either cohort. CONCLUSION The pattern of hypermethylation may have changed after the introduction of prostate-specific antigen testing in the beginning of the 1990s. Promoter methylation in APC was identified as a marker for prostate cancer progression.

Epigenetic mechanisms in the biology of prostate cancer

Prostate cancer is one of the most frequent cancers in males in Western industrialized countries. Its course is highly variable, from indolent to highly lethal. Genetic changes vary accordingly, with chromosomal losses, gains and translocations, although often recurrent, differing between individual cases of the disease. In contrast, certain epigenetic changes are highly consistent, in particular hypermethylation of a specific set of genes, and others regularly associated with progression, such as global DNA hypomethylation, certain chromatin modifications and altered levels and composition of polycomb complexes. Although changes in polycombs and DNA methylation appear to both accompany the progression of prostate cancer, recent studies do not suggest that they cause one another. However, they may contribute to establishing and maintaining an aberrant differentiation potential of prostate cancer initiating cells. Global DNA hypomethylation in prostate cancer may relate to adaptative changes in several signaling pathways typical of this cancer type, including innate immunity responses. Similarly, adaptative changes in the expression and function of chromatin regulators required to diminish the dependency of prostate cancer cells on androgens may shape the epigenome, beyond individual genes regulated by the androgen receptor. Because of their crucial role, epigenetic alterations may become highly useful for diagnostics and therapy of prostate cancer.

Multimarker circulating DNA assay for assessing blood of prostate cancer patients

BACKGROUND

Prostate cancer (PCa) detection using serum-based prostate specific antigen (PSA) is limited by frequent false-positive and -negative results. Genetic aberrations such as allelic imbalance (AI) and epigenetic changes such as promoter hypermethylation have been detected in circulating DNA of cancer patients. We hypothesized that circulating multimarker DNA assays detecting both genetic and epigenetic markers in serum would be useful in assessing PCa patients.

METHODS

We assayed blood from healthy male donors (n = 40) and 83 patients with American Joint Cancer Committee (AJCC) stage I-IV PCa. DNA was assayed for AI of 6 genome microsatellites. We assessed methylation of RASSF1, RARB2, and GSTP1 using a methylation-specific PCR assay and analyzed the sensitivity of each assay for the detection of genetic or epigenetic changes in circulating DNA. The relation between circulating tumor-related DNA detection and prognostic factors was investigated.

RESULTS

The proportion of patients demonstrating AI for > or =1 marker was 47% (38 of 81 patients). Methylation biomarkers were detected in 24 of 83 patients (28%). By combining 2 DNA assays, the number of PCa patients positive for > or =1 methylated or LOH marker increased (52 of 83; 63%). The combined assays detected PCa in 15 of 24 patients (63%) with normal PSA concentrations. The combination of the DNA assays detected the presence of PCa regardless of AJCC stage or PSA concentration. Combination of the DNA and PSA assays gave 89% sensitivity.

CONCLUSIONS

This pilot study demonstrates that the combined circulating DNA multimarker assay identifies patients with PCa and may yield information independent of AJCC stage or PSA concentration.

Genomic hypomethylation and CpG island hypermethylation in prostatic intraepithelial neoplasm

Altered DNA methylation in cancer cells is characterized by focal CpG island hypermethylation and diffuse genomic hypomethylation. Both types of aberrant methylation are frequently found in human prostate adenocarcinoma (PCa). Prostatic intraepithelial neoplasm (PIN), a precursor lesion of PCa, has been demonstrated to contain CpG island hypermethylation, but little is known about the role of DNA hypomethylation. We analyzed the methylation status at 12 CpG island loci and at two repetitive DNA elements (LINE-1 and SAT2) from normal prostate (n = 20), PIN (n = 25), and PCa (n = 35) tissues using MethyLight assay or combined bisulfite restriction analysis. The methylation levels in LINE-1 and SAT2 decreased with progression of lesion types from normal prostate to PIN to PCa (P < 0.05), whereas promoter CpG island loci displayed increased methylation. Ten genes were found to be hypermethylated in a cancer-specific manner and were further analyzed in another set of PCa tissues (n = 64). The number of methylated genes was closely associated with TNM stage, Gleason sum, and preoperative serum PSA levels (P = 0.020, 0.073, 0.033, respectively). These results suggest that genomic hypomethylation and CpG island hypermethylation, common among PCas, are early events in prostate carcinogenesis and may be implicated in the development of PIN.

Perinatal exposure to oestradiol and bisphenol A alters the prostate epigenome and increases susceptibility to carcinogenesis

An important and controversial health concern is whether low-dose exposures to hormonally active environmental oestrogens such as bisphenol A can promote human diseases including prostate cancer. Our studies in rats have shown that pharmacological doses of oestradiol administered during the critical window of prostate development result in marked prostate pathology in adulthood that progress to neoplastic lesions with ageing. Our recent studies have also demonstrated that transient developmental exposure of rats to low, environmentally relevant doses of bisphenol A or oestradiol increases prostate gland susceptibility to adult-onset precancerous lesions and hormonal carcinogenesis. These findings indicate that a wide range of oestrogenic exposures during development can predispose to prostatic neoplasia that suggests a potential developmental basis for this adult disease. To identify a molecular basis for oestrogen imprinting, we screened for DNA methylation changes over time in the exposed prostate glands. We found permanent alterations in DNA methylation patterns of multiple cell signalling genes suggesting an epigenetic mechanism of action. For phosphodiesterase type 4 variant 4 (PDE4D4), an enzyme responsible for intracellular cyclic adenosine monophosphate breakdown, a specific methylation cluster was identified in the 5'-flanking CpG island that was gradually hypermethylated with ageing in normal prostates resulting in loss of gene expression. However, in prostates exposed to neonatal oestradiol or bisphenol A, this region became hypomethylated with ageing resulting in persistent and elevated PDE4D4 expression. In total, these findings indicate that low-dose exposures to ubiquitous environmental oestrogens impact the prostate epigenome during development and in so doing, promote prostate disease with ageing.

CpG island hypermethylation at multiple gene sites in diagnosis and prognosis of prostate cancer

OBJECTIVES

CpG island hypermethylation causes gene silencing and could be decisive in prostate carcinogenesis and progression. We investigated its role at multiple gene sites during prostate carcinogenesis.

METHODS

A quantitative, methylation-specific polymerase chain reaction was used to analyze the hypermethylation patterns at nine gene loci (Annexin2, APC, EDNRB, GSTP1, PTGS2, MDR1, RARbeta, Reprimo, and TIG1) in 80 patients with prostate cancer (PCa) and 26 patients with benign prostatic hyperplasia (BPH).

RESULTS

Hypermethylation was more frequent in PCa than in BPH tissues (EDNRB, 100% versus 88%; TIG1, 96% versus 12%; RARbeta, 95% versus 35%; GSTP1, 93% versus 15%; APC, 80% versus 50%; MDR1, 80% versus 31%; PTGS2, 68% versus 15%; Reprimo, 59% versus 19%; and Annexin2, 4% versus 0%). TIG1 and GSTP1 hypermethylation distinguished between PCa and BPH with a specificity of greater than 85% and sensitivity of greater than 93%. Hypermethylation at a single gene locus did not correlate with any clinicopathologic variables. In contrast, hypermethylation at two genes (eg, APC and TIG1, APC and GSTP1, APC and PTGS2, APC or MDR, GSTP1 or PTGS2) correlated significantly with the pathologic stage and/or Gleason score (P = 0.033 to 0.045). Hypermethylation at APC and Reprimo, as well as DNA hypermethylation at more than five genes, correlated significantly with the rate of prostate-specific antigen recurrence after radical prostatectomy (P = 0.0078 and P = 0.0074, respectively).

CONCLUSIONS

Our results have confirmed that the hypermethylation patterns are helpful in the diagnosis and prognosis of PCa. Increases in CpG island hypermethylation at multiple gene sites occur during PCa progression and indicate early biochemical recurrence after radical prostatectomy.

Promoter hypermethylation in circulating blood cells identifies prostate cancer progression

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.

CpG island hypermethylation in cell-free serum DNA identifies patients with localized prostate cancer

BACKGROUND

One of the earliest and most common epigenetic events in prostate carcinogenesis is DNA CpG island (CGI) hypermethylation. Our aim was to analyze the diagnostic and prognostic possibilities of multigene methylation analysis in cell-free serum DNA of prostate cancer (PCA) patients.

METHODS

We analyzed serum samples from 226 consecutive patients (168 PCA; 42 benign prostatic hyperplasia (BPH); 5 incidental PCA; 11 healthy individuals). Cell-free DNA was digested with methylation-sensitive restriction endonucleases (HpaII and HinP1I). Subsequently, CGI hypermethylation at GSTP1, PTGS2, Reprimo, and TIG1 was assessed using real-time PCR.

RESULTS

CGI hypermethylation at GSTP1, TIG1, PTGS2, and Reprimo was more frequent in PCA (42.3%, 9.5%, 2.4%, and 1.2%, respectively) compared to BPH (7.7%, 0%, 0%, and 0%, respectively) and healthy individuals (all 0%) with a statistical significant difference of GSTP1 (P < 0.0001) and TIG1 (P = 0.038). GSTP1 hypermethylation was also detected in four patients with incidental PCA. Hypermethylation in serum DNA at GSTP1 and hypermethylation at any gene site distinguished between PCA and BPH patients in a highly specific (92%) but less sensitive (42-47%) manner. Neither CGI hypermethylation at a single gene loci nor the combination of multiple gene sites was correlated to the pathological stage, grade or biochemical recurrence following radical prostatectomy.

CONCLUSIONS

The detection of aberrant hypermethylation in cell-free serum DNA allows the highly specific diagnosis of PCA. A test based on GSTP1 hypermethylation in serum samples of patients with suspected PCA may help to identify men with increased risk of harboring PCA despite negative prostate biopsy.

Wnt antagonist family genes as biomarkers for diagnosis, staging, and prognosis of renal cell carcinoma using tumor and serum DNA

PURPOSE

We hypothesized that combined methylation analysis of Wnt antagonist genes could serve as a panel of biomarkers for diagnosis, staging, and prognosis in renal cell carcinoma (RCC).

EXPERIMENTAL DESIGN

Samples (n = 62) of RCC and corresponding normal renal tissue (NRT) were analyzed using methylation-specific PCR for methylation of six Wnt antagonist genes (sFRP-1, sFRP-2, sFRP-4, sFRP-5, Wif-1, and Dkk-3). To increase the sensitivity/specificity of RCC detection, the methylation score (M score) for multigene methylation analysis was developed. Receiver operator characteristic curve analysis was used to determine the optimal sensitivity/specificity of the M score. In addition, the M score was compared with the clinicopathologic outcome. Thirty-three serum DNA samples were also used to investigate the methylation status of Wnt antagonist genes.

RESULTS

The methylation levels of all Wnt antagonists were significantly higher in RCC than in NRT. In multivariate regression analysis, the methylation level of sFRP-1 was a significant independent predictor of RCC, whereas for sFRP-2 and sFRP-4 there was a trend toward significance as independent predictors. The M score of Wnt antagonist genes was significantly higher in RCC than in NRT. Overall, the M score had a sensitivity of 79.0% and a specificity of 75.8% (area under the curve, 0.808) as a diagnostic biomarker. In addition, the M score could significantly distinguish grade, pT category, M category, and overall survival of RCC patients. The M score was independent of age and gender in predicting overall survival by the Cox proportional hazards model. In RCC patients, 72.7% of the methylation-specific PCR results had identical methylation in samples of tumor and serum DNA. No serum DNA in normal controls showed aberrant methylation of the Wnt antagonist genes. In addition, the methylation status of Wnt antagonist genes in serum DNA was significantly correlated with tumor grade and stage.

CONCLUSIONS

This is the first report showing that M score analysis of Wnt antagonist genes can serve as an excellent epigenetic biomarker panel for detection, staging, and prognosis of RCC using serum DNA.

Quantitative promoter methylation analysis of multiple cancer-related genes in renal cell tumors

Background

Aberrant promoter hypermethylation of cancer-associated genes occurs frequently during carcinogenesis and may serve as a cancer biomarker. In this study we aimed at defining a quantitative gene promoter methylation panel that might identify the most prevalent types of renal cell tumors.

Methods

A panel of 18 gene promoters was assessed by quantitative methylation-specific PCR (QMSP) in 85 primarily resected renal tumors representing the four major histologic subtypes (52 clear cell (ccRCC), 13 papillary (pRCC), 10 chromophobe (chRCC), and 10 oncocytomas) and 62 paired normal tissue samples. After genomic DNA isolation and sodium bisulfite modification, methylation levels were determined and correlated with standard clinicopathological parameters.

Results

Significant differences in methylation levels among the four subtypes of renal tumors were found for CDH1 (p = 0.0007), PTGS2 (p = 0.002), and RASSF1A (p = 0.0001). CDH1 hypermethylation levels were significantly higher in ccRCC compared to chRCC and oncocytoma (p = 0.00016 and p = 0.0034, respectively), whereas PTGS2 methylation levels were significantly higher in ccRCC compared to pRCC (p = 0.004). RASSF1A methylation levels were significantly higher in pRCC than in normal tissue (p = 0.035). In pRCC, CDH1 and RASSF1A methylation levels were inversely correlated with tumor stage (p = 0.031) and nuclear grade (p = 0.022), respectively.

Conclusion

The major subtypes of renal epithelial neoplasms display differential aberrant CDH1, PTGS2, and RASSF1A promoter methylation levels. This gene panel might contribute to a more accurate discrimination among common renal tumors, improving preoperative assessment and therapeutic decision-making in patients harboring suspicious renal masses.

Molecular markers for prostate cancer

Serum PSA testing has been used for over 20 years as an aid in the diagnosis and management of prostate cancer. Although highly sensitive, it suffers from a lack of specificity, showing elevated serum levels in a variety of other conditions including prostatitis, benign prostate hyperplasia, and non-cancerous neoplasia. During this period, numerous serum protein analytes have been investigated as alternative and/or supplemental tests for PSA, however in general these analytes have likewise suffered from a lack of specificity, often showing serum elevations in other clinical presentations. More recently, molecular assays targeting prostate disease at the DNA or RNA level have been investigated for potential diagnostic and prognostic utility. With the aid of modern genomics technologies, a variety of molecular biomarkers have been discovered that show potential for specific correlation with prostate cancer. Much of this discovery has been retrospective, using microdissected tissue from prostatectomy. The goal of current research is to apply genomic assays to noninvasive specimens such as blood and urine. Progress in this area is the subject of this review.

MDR1 hypermethylation contributes to the progression of neuroblastoma

MDR1 hypermethylation plays an important role in pathogenesis and progression of neuroblastoma tumors. This hypothesis was tested by studying the methylation status of MDR1 gene promoter in neureoblastoma biopsy specimens during the progression of tumor from stage-1 to stage-4. Results of our findings demonstrate an inverse correlation between the methylation status of MDR1 promoter and MDR1 expression during the progression of disease from stage-1 to stage-4 as determined by methylation specific PCR (MSP) and RT/PCR analyses. The results of the RT/PCR and MSP analyses were validated by quantitative Real Time PCR analysis. Data from present study suggest that transcriptional inactivation of MDR1 gene due to increased MDR1 promoter methylation may be a contributing factor in pathogenesis and progression of neuroblastoma tumors, and may be used in designing an effective treatment therapy to neuroblastoma patients.

Molecular Detection of Localized Prostate Cancer Using Quantitative Methylation-Specific PCR on Urinary Cells Obtained Following Prostate Massage

PURPOSE

The diagnosis of localized prostate cancer is difficult due to a lack of cancer-specific biomarkers. Many patients require repeat prostate biopsies to diagnose the disease. We investigated whether aberrant promoter hypermethylation in prostatic fluid could reliably detect prostate cancer.

EXPERIMENTAL DESIGN

Urine samples were collected after prostate massage from 95 patients with localized prostate cancer undergoing radical prostatectomy (63 pT(1), 31 pT(2), and 1 pT(3)) and from 38 control patients. Ten genes (GSTP1, RASSF1a, ECDH1, APC, DAPK, MGMT, p14, p16, RARbeta2, and TIMP3) were investigated using quantitative real-time methylation-specific PCR. Receiver operator curves were generated.

RESULTS

The frequency of gene methylation ranged from 6.3% (p14) to 83.2% (GSTP1) in prostate cancer patients. At least one gene was hypermethylated in 93% of cancer patients. The specificity of methylation was 0.74. Methylation was significantly more frequent (P < 0.05) in cancer than control patients for all genes except p14 and p16. According to receiver operator curve analysis, the four-gene combination of GSTP1 (0.86), RASSF1a (0.85), RARbeta2 (0.80), and APC (0.74) best discriminated malignant from nonmalignant cases. The sensitivity and accuracy of this four-gene set were 86% and 89%, respectively.

CONCLUSIONS

The presence of aberrant methylation in urinary cells obtained after prostate massage is significantly associated with prostate cancer. A panel of four genes could stratify patients into low and high risk of having prostate cancer and optimize the need for repeat prostatic biopsies.

Cancer statistics, 2007

Each year, the American Cancer Society (ACS) estimates the number of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data on cancer incidence, mortality, and survival based on incidence data from the National Cancer Institute, Centers for Disease Control and Prevention, and the North American Association of Central Cancer Registries and mortality data from the National Center for Health Statistics. This report considers incidence data through 2003 and mortality data through 2004. Incidence and death rates are age-standardized to the 2000 US standard million population. A total of 1,444,920 new cancer cases and 559,650 deaths for cancers are projected to occur in the United States in 2007. Notable trends in cancer incidence and mortality rates include stabilization of the age-standardized, delay-adjusted incidence rates for all cancers combined in men from 1995 through 2003; a continuing increase in the incidence rate by 0.3% per year in women; and a 13.6% total decrease in age-standardized cancer death rates among men and women combined between 1991 and 2004. This report also examines cancer incidence, mortality, and survival by site, sex, race/ethnicity, geographic area, and calendar year, as well as the proportionate contribution of selected sites to the overall trends. While the absolute number of cancer deaths decreased for the second consecutive year in the United States (by more than 3,000 from 2003 to 2004) and much progress has been made in reducing mortality rates and improving survival, cancer still accounts for more deaths than heart disease in persons under age 85 years. Further progress can be accelerated by supporting new discoveries and by applying existing cancer control knowledge across all segments of the population.

Hypermethylation of CpG island loci and hypomethylation of LINE-1 and Alu repeats in prostate adenocarcinoma and their relationship to clinicopathological features

Promoter CpG island hypermethylation is an important carcinogenic event in prostate adenocarcinoma. Regardless of tissue type, human cancers have in common both focal CpG island hypermethylation and global genomic hypomethylation. The present study evaluated CpG island loci hypermethylation and LINE-1 and Alu repeat hypomethylation in prostate adenocarcinoma, analysed the relationship between them, and correlated these findings with clinicopathological features. We examined 179 cases of prostate adenocarcinoma and 30 cases of benign prostate hypertrophy for the methylation status of 22 CpG island loci and the methylation levels of LINE-1 and Alu repeats using methylation-specific polymerase chain reaction and combined bisulphite restriction analysis, respectively. The following 16 CpG island loci were found to display cancer-related hypermethylation: RASSF1A, GSTP1, RARB, TNFRSF10C, APC, BCL2, MDR1, ASC, TIG1, RBP1, COX2, THBS1, TNFRSF10D, CD44, p16, and RUNX3. Except for the last four CpG island loci, hypermethylation of each of the remaining 12 CpG island loci displayed a close association with one or more of the prognostic parameters (ie preoperative serum prostate specific antigen level, Gleason score sum, and clinical stage). Prostate adenocarcinoma with hypermethylation of each of ASC, COX2, RARB, TNFRSF10C, MDR1, TIG1, RBP1, NEUROG1, RASSF1A, and GSTP1 showed a significantly lower methylation level of Alu or LINE-1 than prostate adenocarcinoma without hypermethylation. In addition, hypomethylation of Alu or LINE-1 was closely associated with one or more of the above prognostic parameters. These data suggest that in tumour progression a close relationship exists between CpG island hypermethylation and the hypomethylation of repetitive elements, and that CpG island hypermethylation and DNA hypomethylation contribute to cancer progression.

High Concordance of Gene Methylation in Post-Digital Rectal Examination and Post-Biopsy Urine Samples for Prostate Cancer Detection

PURPOSE

We evaluated the concordance between post-digital rectal examination and post-prostate biopsy urine samples using conventional methylation specific polymerase chain reaction analysis of 3 gene promoters in patients with suspected or confirmed prostate cancer.

MATERIALS AND METHODS

Voided urine specimens were collected from 17 men after 15-second digital rectal examination and again after transrectal ultrasound guided biopsy of the prostate for suspected malignancy or for followup biopsy as part of an expectant management protocol. Urine sediment DNA was isolated and subjected to bisulfite modification. Methylation of GSTP1, EDNRB and APC promoters was determined by conventional methylation specific polymerase chain reaction analysis in post-digital rectal examination and post-biopsy samples, and correlated with clinical information.

RESULTS

Prostate cancer was detected on prostate biopsy in 12 of 17 patients (71%). Promoter methylation was detected in post-digital rectal examination urine specimens for GSTP1 (24%), APC (12%) and EDNRB (66%). Promoter methylation was detected in post-biopsy urine specimens for GSTP1 (18%), APC (18%) and EDNRB (77%). The concordance between post-digital rectal examination and post-biopsy urine samples was 94% for GSTP1 and APC, and 82% for EDNRB. Overall 100% of patients with biopsy proven prostate cancer had at least 1 gene methylated in urine vs 60% of those without evidence of prostate cancer on biopsy.

CONCLUSIONS

Gene analysis using conventional methylation specific polymerase chain reaction is a reliable method for detecting abnormal DNA methylation in voided urine samples obtained following digital rectal examination or prostate needle biopsy. The concordance between post-digital rectal examination and post-biopsy urinary samples for promoter methylation is high (82% to 94%), suggesting that urine collected after digital rectal examination may be used for genetic analysis with results similar to those in post-biopsy urine samples.

Molecular and cellular approaches to patient management in oncology

Many of the techniques that are employed today by pathologists and oncologists to generate a diagnosis, prognosis or prediction of response have not changed over several decades. However, new molecular and cellular technologies will enable more precise and objective decision-making. This review will detail some of the more recent developments in these areas from Veridex, LLC, academic laboratories and other commercial entities. The discussion of molecular technologies will focus on breast sentinel lymph node biopsy, prostate biopsy, carcinoma of unknown primary, prediction of recurrence in lymph node negative colon and breast cancers and pharmacogenomics. The discussion of cellular technologies will focus on the use of circulating cells to serve in both prognostic and predictive capacities and on the use of molecular methods to interrogate the DNA and RNA isolated from these circulating cells.

Combination analysis of hypermethylated Wnt-antagonist family genes as a novel epigenetic biomarker panel for bladder cancer detection

PURPOSE

Aberrant promoter hypermethylation of Wnt-antagonist genes contributes to the pathogenesis of several cancers. We hypothesized that combined methylation analysis of Wnt-antagonist genes could improve their use as a panel of biomarkers for diagnosing and staging of bladder cancers.

EXPERIMENTAL DESIGN

Samples (54 total) of bladder tumor and corresponding normal bladder mucosa were analyzed for the methylation and expression levels of six Wnt-antagonist genes (sFRP-1, sFRP-2, sFRP-4, and sFRP-5, Wif-1, and Dkk-3). To increase the sensitivity/specificity of bladder tumor detection, the methylation score (M score), a new method for multigene methylation analysis, was developed. The M score of each sample was calculated as the sum of the corresponding log hazard ratio coefficients derived from multivariate logistic regression analysis of the methylation status for each Wnt-antagonist gene. Receiver operator characteristic (ROC) curve analysis was used to determine the optimal sensitivity/specificity of the M score. Urine DNA from 24 matched patients with bladder tumor and 20 cancer-free volunteers was also used to investigate the methylation status of Wnt-antagonist genes.

RESULTS

The methylation levels of Wnt-antagonists were significantly higher and mRNA levels were significantly lower in bladder tumor than in bladder mucosa. Each methylation level was inversely correlated with the corresponding mRNA level. In multivariate regression analysis, the methylation levels of sFRP-2 and Dkk-3 were significant independent predictors of bladder tumor (P < 0.05 and P < 0.01, respectively), whereas with sFRP-1, sFRP-5, and Wif-1 there was a trend towards significance as independent predictors. The M score of Wnt-antagonist genes was significantly higher in bladder tumor than in bladder mucosa (P < 0.05). Overall, the M score had a sensitivity of 77.2% and a specificity of 66.7% as a diagnostic biomarker (areas under the curve, 0.763). The M score could distinguish superficial from invasive bladder tumors with a sensitivity of 72.2% and a specificity of 61.1% as a staging biomarker (areas under the curve, 0.671). In patients with bladder tumor, 80.6% of the methylation-specific PCR results had identical methylation in samples of tumor- and urine-derived DNA. Most urine DNA in normal controls showed no aberrant methylation of the Wnt-antagonist genes.

CONCLUSIONS

Hypermethylation of Wnt-antagonist genes plays an important role in the pathogenesis of bladder tumor and can be detected using cellular DNA extracted from urine samples. This is the first report demonstrating that M score analysis of Wnt-antagonist genes could serve as an excellent epigenetic biomarker panel for bladder tumors.

Impact of hormonal therapy on the detection of promoter hypermethylation of the detoxifying glutathione-S-transferase P1 gene (GSTP1) in prostate cancer

BACKGROUND

In spite of excellent cure rates for prostate cancer patients with favorable tumor characteristics, patients with unfavorable characteristics after radical prostatectomy are still at a significantly increased risk of tumor progression. Early adjuvant hormonal therapy (AHT) has been shown to be of prognostic benefit in these patients. Unfortunately initiation and duration of early AHT in the individual patient is based on statistic data. PSA, as the standard prostate marker is neither able to reliably indicate minimal residual tumor disease in the early postoperative phase, nor can it be used for therapy monitoring due to the suppressive effect of hormonal therapy on PSA production. Promoter hypermethylation of the detoxifying glutathione-S-transferase P1 gene (GSTP1-HM) has been shown to be the most common DNA alteration of primary prostatic carcinoma which, when used as a marker, is supposed to be able to overcome some of the disadvantages of PSA. However until now information on the impact of hormonal therapy on the detection of GSTP1-HM is lacking. The purpose of our study was to assess the impact of endocrine therapy on the detection of GSTP1-HM by methylation-specific PCR (MSP) in prostate cancer.

METHODS

Paraffin embedded tumor samples from the radical prostatectomy (RP) specimens from 15 patients after hormonal therapy (HT) (mean 8 months) were assessed by MSP. In 8 of the patients the GSTP-1 status of the tumors before HT was assessed on the corresponding initial diagnostic biopsies.

RESULTS

Following HT MSP showed GSTP1-HM in 13/15 of the RP specimens. In two patients analysis of the RP specimens failed to show GSTP1-HM. All initial tumor samples (8/8 biopsy specimens) showed GSTP1-HM, including both patients negative for GSTP1 HM in the corresponding RP specimen.

CONCLUSION

In most cases hormonal therapy appears to not alter GSTP1 HM detection. However the change from a positive to a negative GSTP1 HM status in a subset of the patients may point to an, at least partial androgen dependency. Further studies on a larger cohort of patients are necessary to assess its frequency and the exact hormonal interactions.