A comparison of the performance of microsatellite and methylation urine analysis for predicting the recurrence of urothelial cell carcinoma, and definition of a set of markers by Bayesian network analysis

Liquid biopsy in urothelial carcinoma: Detection techniques and clinical applications

The types of urothelial carcinoma (UC) include urothelial bladder cancer and upper tract urothelial carcinoma. Current diagnostic techniques cannot meet the needs of patients. Liquid biopsy is an accurate method of determining the molecular profile of UC and is a cutting-edge and popular technique that is expected to complement existing detection techniques and benefit patients with UC. Circulating tumor cells, cell-free DNA, cell-free RNA, extracellular vesicles, proteins, and metabolites can be found in the blood, urine, or other bodily fluids and are examined during liquid biopsies. This article focuses on the components of liquid biopsies and their clinical applications in UC. Liquid biopsies have tremendous potential in multiple aspects of precision oncology, from early diagnosis and treatment monitoring to predicting prognoses. They may therefore play an important role in the management of UC and precision medicine.

Pseudogene ACTBP2 increases blood-brain barrier permeability by promoting KHDRBS2 transcription through recruitment of KMT2D/WDR5 in Aβ1-42 microenvironment

The blood–brain barrier (BBB) has a vital role in maintaining the homeostasis of the central nervous system (CNS). Changes in the structure and function of BBB can accelerate Alzheimer’s disease (AD) development. β-Amyloid (Aβ) deposition is the major pathological event of AD. We elucidated the function and possible molecular mechanisms of the effect of pseudogene ACTBP2 on the permeability of BBB in Aβ_1–42 microenvironment. BBB model treated with Aβ_1–42 for 48 h were used to simulate Aβ-mediated BBB dysfunction in AD. We proved that pseudogene ACTBP2, RNA-binding protein KHDRBS2, and transcription factor HEY2 are highly expressed in ECs that were obtained in a BBB model in vitro in Aβ_1–42 microenvironment. In Aβ_1–42-incubated ECs, ACTBP2 recruits methyltransferases KMT2D and WDR5, binds to KHDRBS2 promoter, and promotes KHDRBS2 transcription. The interaction of KHDRBS2 with the 3′UTR of HEY2 mRNA increases the stability of HEY2 and promotes its expression. HEY2 increases BBB permeability in Aβ_1–42 microenvironment by transcriptionally inhibiting the expression of ZO-1, occludin, and claudin-5. We confirmed that knocking down of Khdrbs2 or Hey2 increased the expression levels of ZO-1, occludin, and claudin-5 in APP/PS1 mice brain microvessels. ACTBP2/KHDRBS2/HEY2 axis has a crucial role in the regulation of BBB permeability in Aβ_1–42 microenvironment, which may provide a novel target for the therapy of AD.

Toward urinary cell-free DNA-based treatment of urothelial carcinoma: a narrative review

Liquid biopsy technique targeting urinary cell-free DNA (cfDNA) is getting a lot of attention to overcome limitations of the present treatment strategy for urothelial carcinoma, including urothelial bladder carcinoma (UBC) and upper tract urothelial carcinoma (UTUC). Analysis of tumor-derived DNA in urine focusing either on genomic or epigenomic alterations, holds great potential as a noninvasive method for the detection of urothelial carcinoma with high accuracy. It is also predictive of prognosis and response to drugs, and reveals the underlying characteristics of different stages of urothelial carcinoma. Although cfDNA methylation analyses based on a combination of several methylation profiles have demonstrated high sensitivity for UBC diagnosis, there have been few reports involving epigenomic studies of urinary cfDNA. In mutational analyses, frequent gene mutations (TERT promoter, TP53, FGFR3, PIK3CA, RAS, etc.) have been detected in urine supernatant by using remarkable technological innovations such as next-generation sequencing and droplet digital PCR. These methods allow highly sensitive detection of rare mutation alleles while minimizing artifacts. In this review, we summarize the current insights into the clinical applications of urinary cfDNA from patients with urothelial carcinoma. Although it is necessary to conduct prospective multi-institutional clinical trials, noninvasive urine biopsy is expected to play an important role in the realization of precision medicine in patients with urothelial carcinoma in the near future.

Current status of genetic urinary biomarkers for surveillance of non-muscle invasive bladder cancer: a systematic review

Background

Genetic biomarkers are a promising and growing field in the management of bladder cancer in all stages. The aim of this paper is to understand the role of genetic urinary biomarkers in the follow up of patients with non muscle invasive bladder cancer where there is increasing evidence that they can play a role in avoiding invasive techniques.

Methods

Following PRISMA criteria, we have performed a systematic review. The search yielded 164 unique articles, of which 21 articles were included involving a total of 7261 patients. Sixteen of the articles were DNA based biomarkers, analyzing different methylations, microsatellite aberrations and gene mutations. Five articles studied the role of RNA based biomarkers, based on measuring levels of different combinations of mRNA. QUADAS2 critical evaluation of each paper has been reported.

Results

There are not randomized control trials comparing any biomarker with the gold standard follow-up, and the level of evidence is 2B in almost all the studies. Negative predictive value varies between 55 and 98.5%, being superior in RNA based biomarkers.

Conclusions

Although cystoscopy and cytology are the gold standard for non muscle invasive bladder cancer surveillance, genetic urinary biomarkers are a promising tool to avoid invasive explorations to the patients with a safe profile of similar sensitivity and negative predictive value. The accuracy that genetic biomarkers can offer should be taken into account to modify the paradigm of surveillance in non muscle invasive bladder cancer patients, especially in high-risk ones where many invasive explorations are recommended and biomarkers experiment better results.

High Detection Rate for Non-Muscle-Invasive Bladder Cancer Using an Approved DNA Methylation Signature Test

INTRODUCTION

Cystoscopy and transurethral resection are the current reference standard tests to diagnose and histologically confirm non-muscle-invasive bladder cancer (NMIBC). In other tumor entities (ie, colon carcinoma, cervical cancer), DNA methylation markers have been approved as diagnostic tests with high diagnostic power. In our case-control study, we used an approved molecular cervical cancer diagnostics test that includes 6 DNA methylation markers (GynTect) for the detection of bladder cancer.

PATIENTS AND METHODS

We included samples from 40 patients with bladder cancer and 34 control subjects. In a pilot study, we analyzed DNA methylation in 38 tumor tissues and 4 healthy ureters using methylation-specific polymerase chain reaction. Subsequently, we determined the sensitivity and specificity of the GynTect for the detection of bladder cancer in urine sediments from 40 patients with bladder cancer and 30 control subjects with benign prostatic hyperplasia or urolithiasis.

RESULTS

The markers showed very different methylation rates in the NMIBC tissues, ranging from 2.6% to 78.9%. No methylation of any of the markers was detectable in the healthy ureters. Using the urine sediments from the patients with cancer and control subjects, we found surprisingly high sensitivity and specificity for the GynTect assay (60% and 96.7%, respectively). The application of different algorithms for evaluation of the markers included in GynTect resulted in a sensitivity of ≤ 90% and specificity of ≤ 100%.

CONCLUSION

The GynTect assay, originally designed for cervical cancer diagnostics, showed unexpectedly high diagnostic accuracy for bladder cancer detection. The inclusion of additional methylation markers might allow for the development of a suitable diagnostic marker set based on the GynTect test for NMIBC diagnostics.

DNA-Methylation-Based Detection of Urological Cancer in Urine: Overview of Biomarkers and Considerations on Biomarker Design, Source of DNA, and Detection Technologies

Changes in DNA methylation have been causally linked with cancer and provide promising biomarkers for detection in biological fluids such as blood, urine, and saliva. The field has been fueled by genome-wide characterization of DNA methylation across cancer types as well as new technologies for sensitive detection of aberrantly methylated DNA molecules. For urological cancers, urine is in many situations the preferred "liquid biopsy" source because it contains exfoliated tumor cells and cell-free tumor DNA and can be obtained easily, noninvasively, and repeatedly. Here, we review recent advances made in the development of DNA-methylation-based biomarkers for detection of bladder, prostate, renal, and upper urinary tract cancers, with an emphasis on the performance characteristics of biomarkers in urine. For most biomarkers evaluated in independent studies, there was great variability in sensitivity and specificity. We discuss issues that impact the outcome of DNA-methylation-based detection of urological cancer and account for the great variability in performance, including genomic location of biomarkers, source of DNA, and technical issues related to the detection of rare aberrantly methylated DNA molecules. Finally, we discuss issues that remain to be addressed to fully exploit the potential of DNA-methylation-based biomarkers in the clinic, including the need for prospective trials and careful selection of control groups.

Diagnostic biomarkers in non-muscle invasive bladder cancer

Successful treatment of non-muscle invasive bladder cancer (NMIBC) relies heavily on our ability to accurately detect disease typically in the presence of hematuria as well as to detect the early recurrent tumors in patients with a history of NMIBC. Unfortunately, the current biomarker landscape for NMIBC is a work in progress. Cystoscopy continues to be the gold standard, but can still miss 10% of tumors. Therefore, physicians frequently use additional tools to aid in the diagnosis of bladder cancer, such as urinary cytology. The urinary cytology is a good option for high-grade disease; however, it is limited by low sensitivity in detecting low-grade disease, as well as variable interpretation among cytopathologists. Thus, the limitations of cystoscopy and urinary cytology have brought to light the need for more robust diagnostic assays. In this non-systematic review, we discuss the performance, potential advantages or disadvantages of these tests, and the future direction of biomarkers in NMIBC.

The diagnostic accuracy of methylation markers in urine for the detection of bladder cancer: a systematic review

Aim: Several urinary hypermethylation-markers (hmDNA) have been described for bladder cancer (BC) detection, but none have been able to replace cystoscopy yet. We systematically reviewed and evaluated current literature on urinary hmDNA markers for BC diagnostics. Patients & methods: A systematic search of PubMed, EMBASE.com and The Cochrane Library up to February 2017 using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, was conducted. Results: A total of 30/42 studies included compared gene panels, with varying sensitivities (52–100%) and specificities (0–100%). Considerable heterogeneity across studies was observed and most was case–control studies. Conclusion: Reported diagnostic accuracy of urinary hmDNA for BC detection is highly variable and there is a lack of validation studies. Recent studies indicate that complementary markers are needed to allow for clinical implementation.

Evaluation of Cell-free DNA in Urine as a Marker for Bladder Cancer Diagnosis

The diagnosis and follow-up of bladder cancer are mainly based on cystoscopy, an invasive method which could be negative in case of flat malignancies such as carcinoma in situ. Other noninvasive diagnostic methods have not yet given satisfactory results. There is a need for a reliable yet noninvasive method for the detection of bladder cancer. Our aim was to investigate whether cell-free DNA quantified in urine (ucf-DNA) could be a useful marker for the diagnosis of bladder cancer.

A standard urine test was performed in 150 naturally voided morning urine samples that were processed to obtain a quantitative evaluation of ucf-DNA. Leukocyturia and/or bacteriuria were found in 18 subjects, who were excluded from the study. Statistical analysis was performed on 45 bladder cancer patients and 87 healthy subjects. Ucf-DNA was extracted from urine samples by a spin column-based method and quantified using four different methods: GeneQuant Pro (Amersham Biosciences, Pittsburg, PA, USA), Quant-iT™ DNA high-sensitivity assay kit (Invitrogen, Carlsbad, CA, USA), Real-Time PCR (Applied Biosystems, Foster City, CA, USA), and NanoDrop 1000 (NanoDrop Technologies, Houston, TX, USA). Median free DNA quantification did not differ statistically between bladder cancer patients and healthy subjects.

A receiver-operating characteristic (ROC) curve was developed to evaluate the diagnostic performance of ucf-DNA quantification for each method. The area under the ROC curve was 0.578 for GeneQuant Pro, 0.573 for the Quant-iT™ DNA high-sensitivity assay kit, 0.507 for Real-Time PCR, and 0.551 for NanoDrop 1000, which indicated that ucf-DNA quantification by these methods is not able to discriminate between the presence and absence of bladder cancer. No association was found between ucf-DNA quantification and tumor size or tumor focality.

In conclusion, ucf-DNA isolated by a spin column-based method and quantified by GeneQuant Pro, Quant-iT™ DNA high-sensitivity assay kit, Real-Time PCR or NanoDrop 1000 does not seem to be a reliable marker for the diagnosis of bladder cancer.

Understanding the Role of Non-Coding RNAs in Bladder Cancer: From Dark Matter to Valuable Therapeutic Targets

The mortality and morbidity that characterize bladder cancer compel this malignancy into the category of hot topics in terms of biomolecular research. Therefore, a better knowledge of the specific molecular mechanisms that underlie the development and progression of bladder cancer is demanded. Tumor heterogeneity among patients with similar diagnosis, as well as intratumor heterogeneity, generates difficulties in terms of targeted therapy. Furthermore, late diagnosis represents an ongoing issue, significantly reducing the response to therapy and, inevitably, the overall survival. The role of non-coding RNAs in bladder cancer emerged in the last decade, revealing that microRNAs (miRNAs) may act as tumor suppressor genes, respectively oncogenes, but also as biomarkers for early diagnosis. Regarding other types of non-coding RNAs, especially long non-coding RNAs (lncRNAs) which are extensively reviewed in this article, their exact roles in tumorigenesis are—for the time being—not as evident as in the case of miRNAs, but, still, clearly suggested. Therefore, this review covers the non-coding RNA expression profile of bladder cancer patients and their validated target genes in bladder cancer cell lines, with repercussions on processes such as proliferation, invasiveness, apoptosis, cell cycle arrest, and other molecular pathways which are specific for the malignant transformation of cells.

Improving diagnostic molecular tests to monitor urothelial carcinoma recurrence

INTRODUCTION

The high recurrence rates associated with non-muscle invasive bladder cancer require close surveillance with cystoscopy, an invasive and expensive procedure with risk of missing cancer. Finding an accurate urinary biomarker that can detect recurrent disease would represent a significant advancement in management. Areas covered: This review summarizes the commercially-available urinary biomarkers including cytology, UroVysion, BTA, NMP22, uCyt+, and Cxbladder assays. Additionally, we review recent investigational urinary biomarkers that hold promise in bladder cancer surveillance. Expert commentary: The quest for a reliable urinary biomarker for bladder cancer is decades-old and seems intuitive given the direct contact of urine with malignant urothelium. Beyond urine cytology, there are many commercially-available products approved for surveillance. However, none of the assays are routinely used due to lack of sensitivity and/or specificity. As such, emerging technologies, in particular the '-omic' technologies have resulted in a proliferation of promising reports on novel biomarkers in recent literature.

Comparison of Guidelines on Non-Muscle Invasive Bladder Cancer (EAU, CUA, AUA, NCCN, NICE)

Background:

Non-muscle invasive bladder cancer (NMIBC) represents a considerably diverse patient group and the management of this complex disease is debatable. A number of panels from Europe and North America have convened on the topic and recently released guideline documents.

Objective:

The purpose was to compare and contrast the NMIBC guideline recommendations from the EAU (Europe), CUA (Canada), NCCN (United States), AUA (United States), and NICE (United Kingdom).

Methods:

All unabridged guideline documents were reviewed by the authors and comparisons were completed according to major topics in NMIBC.

Results:

Despite a paucity of high level evidence regarding the majority of management topics in NMIBC, there was general agreement among the various guideline panels. Differences mainly centered on the categories of evidence synthesized and grades of recommendations. Each document offers a unique presentation of the available literature and guideline recommendation.

Conclusions:

The guidelines for NMIBC from the EAU, CUA, AUA, NCCN, and NICE provide considerable consensus regarding the management of this often difficult disease. Clinicians are encouraged to familiarize themselves with all of the guidelines in order to determine which style of presentation would be most useful to their current practice.

A panel of three markers hyper- and hypomethylated in urine sediments accurately predicts bladder cancer recurrence

PURPOSE

The high risk of recurrence after transurethral resection of bladder tumor of nonmuscle invasive disease requires lifelong treatment and surveillance. Changes in DNA methylation are chemically stable, occur early during tumorigenesis, and can be quantified in bladder tumors and in cells shed into the urine. Some urine markers have been used to help detect bladder tumors; however, their use in longitudinal tumor recurrence surveillance has yet to be established.

EXPERIMENTAL DESIGN

We analyzed the DNA methylation levels of six markers in 368 urine sediment samples serially collected from 90 patients with noninvasive urothelial carcinoma (Tis, Ta, T1; grade low-high). The optimum marker combination was identified using logistic regression with 5-fold cross-validation, and validated in separate samples.

RESULTS

A panel of three markers discriminated between patients with and without recurrence with the area under the curve of 0.90 [95% confidence interval (CI), 0.86-0.92] and 0.95 (95% CI, 0.90-1.00), sensitivity and specificity of 86%/89% (95% CI, 74%-99% and 81%-97%) and 80%/97% (95% CI, 60%-96% and 91%-100%) in the testing and validation sets, respectively. The three-marker DNA methylation test reliably predicted tumor recurrence in 80% of patients superior to cytology (35%) and cystoscopy (15%) while accurately forecasting no recurrence in 74% of patients that scored negative in the test.

CONCLUSIONS

Given their superior sensitivity and specificity in urine sediments, a combination of hyper- and hypomethylated markers may help avoid unnecessary invasive exams and reveal the importance of DNA methylation in bladder tumorigenesis.

Nucleic acid-based biomarkers in body fluids of patients with urologic malignancies

This review focuses on the promising potential of nucleic acids in body fluids such as blood and urine as diagnostic, prognostic, predictive and monitoring biomarkers in urologic malignancies. The tremendous progress in the basic knowledge of molecular processes in cancer, as shown in the companion review on nucleic acid-based biomarkers in tissue of urologic tumors, provides a strong rationale for using these molecular changes as non-invasive markers in body fluids. The changes observed in body fluids are an integrative result, reflecting both tissue changes and processes occurring in the body fluids. The availability of sensitive methods has only recently made possible detailed studies of DNA- and RNA-based markers in body fluids. In addition to these biological aspects, methodological aspects of the determination of nucleic acids in body fluids, i.e. pre-analytical, analytical and post-analytical issues, are particularly emphasized. The characteristic changes of RNA (differential mRNA and miRNA expression) and DNA (concentrations, integrity index, mutations, microsatellite and methylation alterations) in serum/plasma and urine samples of patients suffering from the essential urologic cancers of the prostate, bladder, kidney and testis are summarized and critically discussed below. To translate the promising results into clinical practice, laboratory scientists and clinicians have to collaborate to resolve the challenges of harmonized and feasible pre-analytical and analytical conditions for the selected markers and to validate these markers in well-designed and sufficiently powered multi-center studies.

Bladder cancer detection and monitoring: assessment of urine- and blood-based marker tests

Bladder cancer is one of the most prevalent cancers worldwide, but the treatment and management of this disease can be very successful if the disease is detected early. The development of molecular assays that could diagnose bladder cancer accurately, and at an early stage, would be a significant advance. Ideally, such molecular assays would be applicable to non-invasively obtained body fluids, and be designed not only for diagnosis but also for monitoring disease recurrence and response to treatment. In this article, we assess the performance of current diagnostic assays for bladder cancer and discuss some of the emerging biomarkers that could be developed to augment current bladder cancer detection strategies.

A 3-plex methylation assay combined with the FGFR3 mutation assay sensitively detects recurrent bladder cancer in voided urine

PURPOSE

DNA methylation is associated with bladder cancer and these modifications could serve as useful biomarkers. FGFR3 mutations are present in 60% to 70% of non-muscle invasive bladder cancer (NMIBC). Low-grade bladder cancer recurs in more than 50% of patients. The aim of this study is to determine the sensitivity and specificity of a urine assay for the diagnosis of recurrences in patients with a previous primary NMIBC G1/G2 by using cystoscopy as the reference standard.

EXPERIMENTAL DESIGN

We selected eight CpG islands (CGI) methylated in bladder cancer from our earlier genome-wide study. Sensitivity of the CGIs for recurrences detection was investigated on a test set of 101 preTUR urines. Specificity was determined on 70 urines from healthy males aged more than 50 years. A 3-plex assay for the best combination was developed and validated on an independent set of 95 preTUR, recurrence free, and nonmalignant urines (n=130).

RESULTS

The 3-plex assay identified recurrent bladder cancer in voided urine with a sensitivity of 74% in the validation set. In combination with the FGFR3 mutation assay, a sensitivity of 79% was reached (specificity of 77%). Sensitivity of FGFR3 and cytology was 52% and 57%, respectively.

CONCLUSION

The combination of methylation and FGFR3 assays efficiently detects recurrent bladder cancer without the need for stratification of patients regarding methylation/mutation status of the primary tumor. We conclude that the sensitivity of this combination is in the same range as cystoscopy and paves the way for a subsequent study that investigates a modified surveillance protocol consisting of the urine test followed by cystoscopy only when the urine test is positive.

[Urine marker systems for diagnosis of urothelial cancer]

Cystoscopy and urinary cytology are standard tools in the diagnostics of urothelial cancer of the urinary bladder; however, cystoscopy is invasive and urinary cytology lacks accuracy for the diagnosis of low grade tumors. More recently several alternative urinary test systems were developed with the aim to make the diagnostics of urothelial tumors more reliable; however, in general all protein-based point of care test systems have a high rate of false positive test results, especially in patients with benign disorders. Fluorescence in situ hybridization, which is highly sensitive and specific, may be a reasonable supplement to the diagnostic spectrum in patients after instillation therapy or bladder replacement. Additionally, there are several new test systems which still need to be tested in large clinical studies with respect to diagnostic accuracy.

Using Bayesian networks to discover relations between genes, environment, and disease

We review the applicability of Bayesian networks (BNs) for discovering relations between genes, environment, and disease. By translating probabilistic dependencies among variables into graphical models and vice versa, BNs provide a comprehensible and modular framework for representing complex systems. We first describe the Bayesian network approach and its applicability to understanding the genetic and environmental basis of disease. We then describe a variety of algorithms for learning the structure of a network from observational data. Because of their relevance to real-world applications, the topics of missing data and causal interpretation are emphasized. The BN approach is then exemplified through application to data from a population-based study of bladder cancer in New Hampshire, USA. For didactical purposes, we intentionally keep this example simple. When applied to complete data records, we find only minor differences in the performance and results of different algorithms. Subsequent incorporation of partial records through application of the EM algorithm gives us greater power to detect relations. Allowing for network structures that depart from a strict causal interpretation also enhances our ability to discover complex associations including gene-gene (epistasis) and gene-environment interactions. While BNs are already powerful tools for the genetic dissection of disease and generation of prognostic models, there remain some conceptual and computational challenges. These include the proper handling of continuous variables and unmeasured factors, the explicit incorporation of prior knowledge, and the evaluation and communication of the robustness of substantive conclusions to alternative assumptions and data manifestations.

Diagnosis of bladder cancer recurrence based on urinary levels of EOMES, HOXA9, POU4F2, TWIST1, VIM, and ZNF154 hypermethylation

Background

Non muscle invasive bladder cancer (NMIBC) has the highest recurrence rate of any malignancy and as many as 70% of patients experience relapse. Aberrant DNA methylation is present in all bladder tumors and can be detected in urine specimens. Previous studies have identified DNA methylation markers that showed significant diagnostic value. We evaluated the significance of the biomarkers for early detection of tumor recurrence in urine.

Methodology/Principal Findings

The methylation levels of EOMES, HOXA9, POU4F2, TWIST1, VIM, and ZNF154 in urine specimens were measured by real-time PCR (MethyLight). We analyzed 390 urine sediments from 184 patients diagnosed with NMIBC. Urine from 35 age-matched control individuals was used to determine the methylation baseline levels. Recurrence was diagnosed by cystoscopy and verified by histology. Initially, we compared urine from bladder cancer patients and healthy individuals and detected significant hypermethylation of all six markers (P<0.0001) achieving sensitivity in the range 82%–89% and specificity in the range 94%–100%. Following, we validated the urinary hypermethylation for use in recurrence surveillance and found sensitivities of 88–94% and specificities of 43–67%. EOMES, POU4F2, VIM and ZNF154 were more frequently methylated in urine from patients with higher grade tumors (P≤0.08). Univariate Cox regression analysis showed that five markers were significantly associated with disease recurrence; HOXA9 (HR = 7.8, P = 0.006), POU4F2 (HR = 8.5, P = 0.001), TWIST1 (HR = 12.0, P = 0.015), VIM (HR = 8.0, P = 0.001), and ZNF154 (HR = 13.9, P<0.001). Interestingly, for one group of patients (n = 15) we found that hypermethylation was consistently present in the urine samples despite the lack of tumor recurrences, indicating the presence of a field defect.

Conclusion/Significance

Methylation levels of EOMES, HOXA9, POU4F2, TWIST1, VIM, and ZNF154 in urine specimens are promising diagnostic biomarkers for bladder cancer recurrence surveillance.

Methylation markers for urine-based detection of bladder cancer: the next generation of urinary markers for diagnosis and surveillance of bladder cancer

Cancer of the urinary bladder is the fifth most common neoplasm in the industrialized countries. Diagnosis and surveillance are dependent on invasive evaluation with cystoscopy and to some degree cytology as an adjunct analysis. Nomuscle invasive bladder cancer is characterized by frequent recurrences after resection, and up to 30% will develop an aggressive phenotype. The journey towards a noninvasive test for diagnosing bladder cancer, in order to replace or extend time between cystoscopy, has been ongoing for more than a decade. However, only a handful of tests that aid in clinical decision making are commercially available. Recent reports of DNA methylation in urine specimens highlight a possible clinical use of this marker type, as high sensitivities and specificities have been shown. This paper will focus on the currently available markers NMP22, ImmunoCyt, and UroVysion as well as novel DNA methylation markers for diagnosis and surveillance of bladder cancer.

CDH1 methylation in preoperative peritoneal washes is an independent prognostic factor for gastric cancer

Background and Objectives

To investigate the clinical value of CDH1 methylation in preoperative peritoneal washes (PPW) from gastric cancer patients.

Methods

CDH1 methylation was detected by real-time methylation specific-PCR in tumor tissues and corresponding PPW from 92 gastric cancer patients, gastric mucosa from 40 chronic gastritis patients and 48 normal persons.

Results

CDH1 methylation was found in 75 of 92 (81.5%) gastric cancer tissues, which significantly correlated with size, growth pattern, differentiation, lymphatic invasion, venous invasion, invasion depth, lymph node metastasis, distant metastasis, and TNM stage of tumor (all P < 0.05), but its relationship to age, gender, tumor site, and H. pylori infection was not found (all P > 0.05). The percentage of CDH1 methylation in PPW was 48.9%, of which the Aζ value of ROC curve was 0.8 compared to that in gastric cancer tissues. Kaplan–Meier analysis showed that there was a significant difference in disease-free survival (DFS) between the patients with or without methylated CDH1 in their PPW (χ² = 109.64, P < 0.000). Cox regression analysis revealed CDH1 methylation in PPW was an independent risk factor for gastric cancer patients, with a remarkable decrease in DFS after postoperative 30 months.

Conclusions

Methylated CDH1 in PPW predicts poor prognosis for gastric cancer patients. J. Surg. Oncol. 2012; 106:765–771. © 2012 Wiley Periodicals, Inc.

Hypermethylation in bladder cancer: biological pathways and translational applications

A compelling body of evidences sustains the importance of epigenetic mechanisms in the development and progression of cancer. Assessing the epigenetic component of bladder tumors is strongly improving our understanding of their biology and clinical behavior. In terms of DNA methylation, cancer cells show genome-wide hypomethylation and site-specific CpG island promoter hypermethylation. In the context of other epigenetic alterations, this review will focus on the hypermethylation of CpG islands in promoter regions, as the most widely described epigenetic modification in bladder cancer. CpG islands hypermethylation is believed to be critical in the transcriptional silencing and regulation of tumor suppressor and crucial cancer genes involved in the major molecular pathways controlling bladder cancer development and progression. In particular, several biological pathways of frequently methylated genes include cell cycle, DNA repair, apoptosis, and invasion, among others. Furthermore, translational aspects of bladder cancer methylomes described to date will be discussed towards their potential application as bladder cancer biomarkers. Several tissue methylation signatures and individual candidates have been evidenced, that could potentially stratify tumors histopathologically, and discriminate patients in terms of their clinical outcome. Tumor methylation profiles could also be detected in urinary specimens showing a promising role as non-invasive markers for cancer diagnosis towards an early detection and potentially for the surveillance of bladder cancer patients in a near future. However, the epigenomic exploration of bladder cancer has only just begun. Genome-scale DNA methylation profiling studies will further highlight the relevance of the epigenetic component to gain knowledge of bladder cancer biology and identify those profiles and candidates better correlating with clinical behavior.

Promoter methylation of H-cadherin is a potential biomarker in patients with bladder transitional cell carcinoma

OBJECTIVES

H-cadherin, functions as a tumor suppressor, is frequently silenced by promoter methylation in human cancers. The aim of this study was to evaluate the feasibility of using H-cadherin methylation in tumor tissues as a potential biomarker in patients with bladder transitional cell carcinoma (TCC).

MATERIALS AND METHODS

We examined the methylation status of H-cadherin in 133 primary bladder TCC samples and 43 normal bladder epithelial tissues using methylation-specific polymerase chain reaction (MSP) and then analyzed the associations between H-cadherin methylation and clinicopathologic features as well as patients' outcome.

RESULTS

H-cadherin methylation was detected in 47 (35.3%) bladder TCC samples, but not found in controls (P = 0.0000). Moreover, H-cadherin methylation was significantly associated with advanced stage (P = 0.0006), high grade (P = 0.0165), larger tumor size (P = 0.0225), tumor recurrence (P = 0.0106), and poor prognosis (P = 0.0000). In addition, multivariate analysis indicated that H-cadherin methylation is independently associated with poor outcome and had a relative risk of death of 3.832 (P = 0.0071, 95% confidence interval: 1.443-10.176).

CONCLUSIONS

The results suggest that H-cadherin methylation may be used as a potential biomarker for the malignancy of bladder TCC and as an independent prognostic biomarker in patients with bladder TCC.

Diagnostic, staging, and grading of urothelial carcinomas from urine: performance of BCA-1, a mini-array comparative genomic hybridisation-based test

BACKGROUND

Cytogenetic abnormalities occur at an early stage of bladder urothelial carcinomas (BUC), and their frequency increases as the cancer becomes more advanced.

OBJECTIVE

To assess the diagnostic performance of a test based on cytogenetic abnormalities to diagnose, stage, and grade BUC from the urine.

DESIGN, SETTING, AND PARTICIPANTS

We used a 341 bacterial artificial chromosome (BAC) comparative genomic hybridisation (CGH)-array chip (BCA-1) designed to include loci affected in BUC. The chip was first used on 32 frozen BUC biopsies to design staging (BN0) and grading (BN1 and BN2) prediction models based on Bayesian networks analysis. The models were then validated on external data obtained from 98 tumour samples using a 2464 BAC CGH-array chip. The performance of the test was finally assessed on 44 urine pellets collected, including 22 patients who had BUC and 22 controls.

MEASUREMENTS

We measured sensitivity and specificity to diagnose BUC stage and grade from urine pellets.

RESULTS AND LIMITATIONS

In the urine, BCA-1 test sensitivity was 95%, specificity was 86%, and accuracy was 91%. The BN0 staging model identified T1-4 tumours in the urine with a sensitivity of 90%, a specificity of 83%, and an accuracy of 87%. The BN1 and BN2 grading models detected high-grade disease with a sensitivity, specificity, and accuracy of 86%, 88%, and 87%, respectively, using BN1 and 100%, 63%, and 82%, respectively, using BN2. BN models performed with similar sensitivity but reduced specificity using the external data. BCA-1 failed to produce results for eight additional samples (failure rate: 9%). The test needed high quantities and quality of DNA, and external validation in larger, prospective, and better-designed studies is necessary to confirm feasibility and performance.

CONCLUSIONS

The BCA-1 mini-CGH-array chip detected BUC in urine with a high diagnostic performance. It could also accurately discriminate low-grade from high-grade tumours and, to a lesser extent, lamina propria-invasive tumours from pTa tumours.

Quantitative loss of heterozygosity analysis for urothelial carcinoma detection and prognosis

OBJECTIVES

To evaluate loss of heterozygosity (LOH) using microsatellite polymorphism analysis as a diagnostic and prognostic marker at the time of transurethral resection and as a follow-up marker preceding cystoscopic evidence of recurrence compared with cytology.

METHODS

A total of 127 urothelial carcinoma (UC) patients were included. Tumors were staged and graded according to the International Union Against Cancer-tumor, node, metastases system and to the 2004 World Health Organization classification. LOH urinalysis was performed using 8 markers and marker-specific LOH thresholds. Thirty control samples, obtained from healthy volunteers, were used to determine the positive cut-off for each marker.

RESULTS

LOH was significantly more sensitive than cytology in low-grade (64.8% vs 38.5%, P <.001) and low-stage UC (68.6% vs 45.5%, P <.001). The cumulative sensitivity of cytology and LOH reached 74.7% (P <.001) for low-grade and 80.2% (P <.001) for low-stage tumors. Both urinary LOH at TP53 and chromosome 9p markers were associated with an increased risk of recurrence (relative risk = 1.73 [1.30-2.31], P = .0002) and occurred more frequently in the initial urine samples of patients who later relapsed from primary tumors (36.4% vs 0.0%, P <.05 and 57.6% vs 15.8%, P = .0001). Among 32 relapse patients, LOH was positive alongside cystoscopy in 25 of 32 cases and tested positive before cystoscopy detected recurrence in a further 5 of 25 cases.

CONCLUSIONS

UC diagnosis and monitoring would greatly benefit from supplementing conventional cytology with LOH urinalysis, using a panel of 8 microsatellite markers with specific threshold levels. Given the limitations of both cystoscopy and cytology, novel molecular markers are needed for detection and follow-up of UC.

Clinical states model for biomarkers in bladder cancer

Bladder cancer is a significant healthcare problem in the USA, with a high recurrence rate, the need for expensive continuous surveillance and limited treatment options for patients with advanced disease. Research has contributed to an understanding of the molecular pathways involved in the development and progression of bladder cancer, and that understanding has led to the discovery of potentially diagnostic, predictive and prognostic biomarkers. In this review, a clinical states model of bladder cancer is introduced and integrated into a paradigm for biomarker development. Biomarkers are systematically incorporated with predefined end points to aid in clinical management.

Bladder cancer biomarkers and their role in surveillance and screening

Early detection of bladder cancer and its recurrences is essential for improved prognosis and long-term survival. The detection and follow-up of these patients is currently based on cystoscopy, which is expensive and invasive, and, in most cases, cytology, which is non-invasive but not very sensitive. During recent years, many urine-based tests have been developed and tested in different patient populations. In this review we discuss new developments for biomarkers in bladder cancer that have potential use in surveillance and screening. In almost all publications authors compare sensitivity of the test with a concomitantly executed cystoscopy, for example, determine cross-sectional sensitivity. However, it has also been shown that false positive test results may be followed by a positive cystoscopy in the near future, showing that cystoscopy itself does not provide 100% sensitivity. This suggests that for a proper evaluation of urine-based tests, longitudinal studies should be carried out and the results communicated to the urologist.

Quantitative methylation analysis of BCL2, hTERT, and DAPK promoters in urine sediment for the detection of non-muscle-invasive urothelial carcinoma of the bladder: a prospective, two-center validation study

OBJECTIVES

Urinary hypermethylation of BCL2, hTERT, and DAPK promoters has been previously demonstrated as an accurate biomarker for the detection of urothelial carcinoma of the bladder (UCB) in patients undergoing radical cystectomy. In the present study, we investigated with a validation intent the frequency and levels of methylation of the same 3 genes in tumor tissue and urine sediment of patients undergoing transurethral resection (TUR) for non-muscle-invasive (NMI) UCB.

MATERIALS AND METHODS

A total of 108 consecutive patients with NMI UCB and 105 controls with no genitourinary malignancies were enrolled in this prospective study conducted in 2 tertiary referral academic urological departments with an advanced molecular laboratory. The frequency and levels of methylated BCL2, hTERT, and DAPK promoters were evaluated with quantitative methylation-specific real-time polymerase chain reaction in DNA extracted from tumor tissue and paired normal bladder mucosa retrieved at the time of TUR in patients, and from urine in patients and controls.

RESULTS

In tumor tissue, at least 1 gene was hypermethylated in 91% patients (BCL2 in 62%, hTERT in 53%, DAPK in 48%). Methylation of hTERT was significantly correlated with tumor grade (P = 0.026). In urine sediment sensitivity and specificity were 76% and 98%, respectively, using BCL2 and hTERT. The number of methylated genes was highly correlated with tumor grade (P = 0.005). Methylated BCL2 and hTERT in urine sediment were highly correlated with those of the corresponding bladder tumor qualitatively (P < 0.001), and only BCL2 also quantitatively (P = 0.005). Methylation levels of BCL2 and hTERT were variably associated with tumor grade and stage, but were significantly correlated with patient age (P = 0.004 and P = 0.027, respectively).

CONCLUSIONS

These findings suggest that quantitative methylation analysis of BCL2 and hTERT, but not DAPK, in urine sediment may be a useful tool in the diagnosis of NMI UCB, deserving future applicability studies.

A decision aid for intensity-modulated radiation-therapy plan selection in prostate cancer based on a prognostic Bayesian network and a Markov model

OBJECTIVE

The prognosis of cancer patients treated with intensity-modulated radiation-therapy (IMRT) is inherently uncertain, depends on many decision variables, and requires that a physician balance competing objectives: maximum tumor control with minimal treatment complications.

METHODS

In order to better deal with the complex and multiple objective nature of the problem we have combined a prognostic probabilistic model with multi-attribute decision theory which incorporates patient preferences for outcomes.

RESULTS

The response to IMRT for prostate cancer was modeled. A Bayesian network was used for prognosis for each treatment plan. Prognoses included predicting local tumor control, regional spread, distant metastases, and normal tissue complications resulting from treatment. A Markov model was constructed and used to calculate a quality-adjusted life-expectancy which aids in the multi-attribute decision process.

CONCLUSIONS

Our method makes explicit the tradeoffs patients face between quality and quantity of life. This approach has advantages over current approaches because with our approach risks of health outcomes and patient preferences determine treatment decisions.