Molecular markers in bladder cancer: A critical appraisal

Metabolomics for searching validated biomarkers in cancer studies: a decade in review

INTRODUCTION

In the dynamic landscape of modern healthcare, the ability to anticipate and diagnose diseases, particularly in cases where early treatment significantly impacts outcomes, is paramount. Cancer, a complex and heterogeneous disease, underscores the critical importance of early diagnosis for patient survival. The integration of metabolomics information has emerged as a crucial tool, complementing the genotype-phenotype landscape and providing insights into active metabolic mechanisms and disease-induced dysregulated pathways.

AREAS COVERED

This review explores a decade of developments in the search for biomarkers validated within the realm of cancer studies. By critically assessing a diverse array of research articles, clinical trials, and studies, this review aims to present an overview of the methodologies employed and the progress achieved in identifying and validating biomarkers in metabolomics results for various cancer types.

EXPERT OPINION

Through an exploration of more than 800 studies, this review has allowed to establish a general idea about state-of-art in the search of biomarkers in metabolomics studies involving cancer which include certain level of results validation. The potential for metabolites as diagnostic markers to reach the clinic and make a real difference in patient health is substantial, but challenges remain to be explored.

New Perspectives on the Role of Liquid Biopsy in Bladder Cancer: Applicability to Precision Medicine

Bladder cancer (BC) is one of the most common tumors in the world. Cystoscopy and tissue biopsy are the standard methods in screening and early diagnosis of suspicious bladder lesions. However, they are invasive procedures that may cause pain and infectious complications. Considering the limitations of both procedures, and the recurrence and resistance to BC treatment, it is necessary to develop a new non-invasive methodology for early diagnosis and multiple evaluations in patients under follow-up for bladder cancer. In recent years, liquid biopsy has proven to be a very useful diagnostic tool for the detection of tumor biomarkers. This non-invasive technique makes it possible to analyze single tumor components released into the peripheral circulation and to monitor tumor progression. Numerous biomarkers are being studied and interesting clinical applications for these in BC are being presented, with promising results in early diagnosis, detection of microscopic disease, and prediction of recurrence and response to treatment.

Heterogeneous MXene Hybrid-Oriented Exosome Isolation and Metabolic Profiling for Early Screening, Subtyping and Follow-up Evaluation of Bladder Cancer

Exosome metabolite-based noninvasive liquid biopsy is an emerging research hotspot that tends to substitute current means in clinics. Nanostructure-based mass spectrometry enables continuous exosome isolation and metabolic profiling with superior analysis speed and high efficiency. Herein, we construct a heterogeneous MXene hybrid that possesses ternary binding sites for exosome capture and outstanding matrix performance for metabolite analysis. Upon optimizing experimental conditions, the average extraction of exosomes and their metabolic patterns from a 60 mL urine sample is completed within 45 s (40 samples per batch for 30 min). According to the exosomal metabolic patterns and the subsequently established biomarker panel, we distinguish early bladder cancer (BCa) from healthy controls with an area under the curve (AUC) value greater than 0.995 in model training and validation sets. As well, we realize subtype classification of BCa in the blind test on metabolic patterns, with an AUC value of 0.867. We also explore the significant biomarkers that are sensitive to follow-up patients, which indeed present reverse change levels compared with pathological progression. This study has the potential to guide the development of the liquid biopsy approach.

Alpha-2 Heremans Schmid Glycoprotein (AHSG) promotes the proliferation of bladder cancer cells by regulating the TGF-β signalling pathway

Bladder cancer (BC) is one of the most common urinary tract malignancies and is the tenth most common cancer globally. Alpha-2 Heremans Schmid Glycoprotein (AHSG) is a multifunctional protein that plays different roles in the progression of multiple tumors. However, the role and mechanism of AHSG in the development and progression of BC are unknown. AHSG expression was assessed in BC cells and tissues using western blot and immunohistochemistry. Using plasmid and siRNA, overexpressed and knocked down AHSG in BC cells were constructed. A series of functional experiments, including CCK8, plate clone formation, and flow cytometry, were performed to evaluate cell proliferation and cycle. AHSG was expressed higher in BC cells and tissues than in normal bladder epithelial cells and non-tumor tissues. Functionally, the overexpression of AHSG significantly increased the proliferation of BC cells and promoted the cell cycle from G1 to the S phase, whereas the knockdown of AHSG gave the opposite result.Additionally, western blot results revealed that AHSG expression level was negatively correlated with the phosphorylation level of Smad2/3 protein, a key downstream molecule of the traditional TGF-β signaling pathway, suggesting that AHSG could antagonize the traditional TGF-β signaling pathway. Finally, the expression level of AHSG in the urine of BC patients was significantly higher than that of healthy subjects by ELISA, with specificity. Our study concluded that AHSG might be a novel marker of BC that promotes the proliferation of BC cells by regulating the TGF-β signaling pathway.

Prognostic and Therapeutic Role of CD15 and CD15s in Cancer

Simple Summary

CD15 (Lewis X) is a typical myeloid antigen presented in myeloid and monocytic lineages of cells. This molecule interacts with E-, L- and P-selectins, which allows for adhesion with endothelial cells. CD15 is found on various cancer cells, including renal cancer, prostate and bladder cancers, acute leukaemias, hepatocellular carcinoma, breast cancer and melanoma cells. Its high expression can serve as a prognostic marker for patients and is a potentially valuable target for immunotherapy against cancer. Blockage of the antigen’s function results in reduced metastatic potential and it may be an immunotherapeutic target. CD15s is a sialyl derivative of CD15; however, unlike the high expression of CD15, which is a prognostic factor in Hodgkin lymphoma, CD15s relates to poor prognosis for patients. CD15 is considered a marker of cancer stem cells. This review presents a comprehensive description of the prognostic role of CD15 and CD15s and their use in anticancer therapy.

Abstract

CD15 (Lewis X/Lex) is a fucosyl (3-fucosly-N-acetyl-lactosamine) moiety found on membrane proteins of various cancer cells. These cancers include renal cancer, prostate and bladder cancers, acute leukaemias, hepatocellular carcinoma, breast cancer and melanoma. The biological role of CD15 is interaction with E-, L- and P-selectins (adhesion molecules), allowing for adhesion with endothelial cells. In this way, cancer cells start to interact with the endothelia of blood vessels and consequently move out from the blood flow to the surrounding tissues. Blockage of the antigen’s function results in reduced metastatic potential. Moreover, the molecule may be a therapeutic target against cancer in monoclonal antibody-based therapies. CD15 may serve as a prognostic marker for patients and there are high hopes for its use in the immunotherapeutic treatment of tumours. CD15s is a sialyl derivative of CD15 that possesses its own unique characteristics. Its soluble form may act as a competitive inhibitor of the interaction of cancer cells with epithelial cells and thus disallow migration through the vessels. However, the prognostic relevance of CD15 and CD15s expression is very complex. This review presents a comprehensive description of the role of CD15 and CD15s in cancer development and metastasis and overviews its significance for clinical applications.

Identification and Quantification of Iron Metabolism Landscape on Therapy and Prognosis in Bladder Cancer

The morbidity of bladder cancer (BLCA) is high and has gradually elevated in recent years. BLCA is also characterized by high recurrence and high invasiveness. Due to the drug resistance and lack of effective prognostic indicators, the prognosis of patients with BLCA is greatly affected. Iron metabolism is considered to be a pivot of tumor occurrence, progression, and tumor microenvironment (TME) in tumors, but there is little research in BLCA. Herein, we used univariate COX regression analysis to screen 95 prognosis-related iron metabolism-related genes (IMRGs) according to transcription RNA sequencing and prognosis information of the Cancer Genome Atlas (TCGA) database. TCGA-BLCA cohort was clustered into four distinct iron metabolism patterns (C1, C2, C3, and C4) by the non-negative matrix factorization (NMF) algorithm. Survival analysis showed that C1 and C3 patterns had a better prognosis. Gene set variant analysis (GSVA) revealed that C2 and C4 patterns were mostly enriched in carcinogenic and immune activation pathways. ESTIMATE and single sample gene set enrichment analysis (ssGSEA) also confirmed the level of immune cell infiltration in C2 and C4 patterns was significantly elevated. Moreover, the immune checkpoint genes in C2 and C4 patterns were observably overexpressed. Studies on somatic mutations showed that the tumor mutation burden (TMB) of C1 and C4 patterns was the lowest. Chemotherapy response assessment revealed that C2 pattern was the most sensitive to chemotherapy, while C3 pattern was the most insensitive. Then we established the IMRG prognosis signature (IMRGscore) by the least absolute shrinkage and selection operator (LASSO), including 13 IMRGs (TCIRG1, CTSE, ATP6V0A1, CYP2C8, RNF19A, CYP4Z1, YPEL5, PLOD1, BMP6, CAST, SCD, IFNG, and ASIC3). We confirmed IMRGscore could be utilized as an independent prognostic indicator. Therefore, validation and quantification of iron metabolism landscapes will help us comprehend the formation of the BLCA immunosuppressive microenvironment, guide the selection of chemotherapeutic drugs and immunotherapy, and predict the prognosis of patients.

Proteomics for Early Detection of Non-Muscle-Invasive Bladder Cancer: Clinically Useful Urine Protein Biomarkers

Bladder cancer is the fourth most common cancer in men, and most cases are non-muscle-invasive. A high recurrence rate is a critical problem in non-muscle-invasive bladder cancer. The availability of few urine tests hinders the effective detection of superficial and small bladder tumors. Cystoscopy is the gold standard for diagnosis; however, it is associated with urinary tract infections, hematuria, and pain. Early detection is imperative, as intervention influences recurrence. Therefore, urinary biomarkers need to be developed to detect these bladder cancers. Recently, several protein candidates in the urine have been identified as biomarkers. In the present narrative review, the current status of the development of urinary protein biomarkers, including FDA-approved biomarkers, is summarized. Additionally, contemporary proteomic technologies, such as antibody-based methods, mass-spectrometry-based methods, and machine-learning-based diagnosis, are reported. Furthermore, new strategies for the rapid and correct profiling of potential biomarkers of bladder cancer in urine are introduced, along with their limitations. The advantages of urinary protein biomarkers and the development of several related technologies are highlighted in this review. Moreover, an in-depth understanding of the scientific background and available protocols in research and clinical applications of the surveillance of non-muscle bladder cancer is provided.

Comparison of urinary telomerase, CD44, and NMP22 assays for detection of bladder squamous cell carcinoma

Background

Squamous cell carcinoma (SCC) of the bladder is common in many regions around the world. Prognosis is very poor, as most cases are diagnosed at an advanced stage due to a lack of affordable and valid screening markers for this type of cancer. The diagnostic accuracy of urinary nuclear matrix protein-22 (NMP22), telomerase activity, and CD44 were evaluated in urine samples of patients with bladder SCC.

Materials and methods

We conducted a case-control study comprised of 60 consecutive newly diagnosed bladder SCC patients diagnosed by cystoscopy and histopathological examination, and controls were 60 outpatients with benign urologic conditions and healthy clinic visitors. Urine samples collected from each subject underwent testing for NMP22, telomerase activity, and CD44. Descriptive and correlational statistical analysis of cases and controls were carried out and receiver operating characteristic curve analysis was used to determine optimal cut-off points for the three assays.

Results

Area under the curve was calculated at 0.96, 0.93, and 0.62 for NMP22, telomerase, and CD44, respectively. Urine levels of NMP22 and telomerase activity were significantly higher in the SCC group compared to controls (p < 0.001). Urine CD44 levels were not significantly higher in the SCC group compared to controls (p = 0.111). The overall sensitivity of NMP22, telomerase, and CD44 was 96.7%, 87%, and 45%, respectively, while the specificity was 85%, 88.6%, and 86.7%, respectively.

Conclusions

Urinary telomerase activity, followed by NMP22 urine levels, showed high diagnostic yield and could hold potential promise as urinary biomarkers for the diagnosis of bladder SCC.

Discovery of Volatile Biomarkers for Bladder Cancer Detection and Staging through Urine Metabolomics

Timely diagnosis is crucial to improve the long-term survival of bladder cancer (BC) patients. The discovery of new BC biomarkers based in urine analysis is very attractive because this biofluid is in direct contact with the inner bladder layer, in which most of the neoplasms develop, and is non-invasively collected. Hence, this work aimed to unveil alterations in the urinary volatile profile of patients diagnosed with BC compared with cancer-free individuals, as well as differences among patients diagnosed at different tumor stages, to identify candidate biomarkers for non-invasive BC diagnosis and staging. Urine analysis was performed by headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS). The results unveiled that BC patients have a distinct urinary volatile profile characterized by higher levels of several alkanes and aromatic compounds, and lower levels of aldehydes, ketones and monoterpenes. Seventeen significantly altered volatiles were used to evaluate the performance for overall BC detection, disclosing 70% sensitivity, 89% specificity and 80% accuracy. Moreover, distinct urinary volatile profiles were found among patients diagnosed at different tumor stages (Ta/Tis, T1 and ≥T2). This work identified distinct urinary volatile signatures of BC patients with potential for non-invasive detection and staging of bladder cancer.

Advances in bladder cancer biology and therapy

The field of research in bladder cancer has seen significant advances in recent years. Next-generation sequencing has identified the genes most mutated in bladder cancer. This wealth of information allowed the definition of driver mutations, and identification of actionable therapeutic targets, as well as a clearer picture of patient prognosis and therapeutic direction. In a similar vein, our understanding of the cellular aspects of bladder cancer has grown. The identification of the cellular geography and the populations of different cell types and quantifications of normal and abnormal cell types in tumours provide a better prediction of therapeutic response. Non-invasive methods of diagnosis, including liquid biopsies, have seen major advances as well. These methods will likely find considerable utility in assessing minimal residual disease following treatment and for early-stage diagnosis. A significant therapeutic impact on patients with bladder cancer is found in the use of immune checkpoint inhibitor therapeutics. These therapeutics have been shown to cure some patients with bladder cancer and significantly decrease adverse events. These developments provide patients with better monitoring opportunities, unique therapeutic options and greater hope for prolonged survival.

Biomarkers for Precision Urothelial Carcinoma Diagnosis: Current Approaches and the Application of Single-Cell Technologies

Simple Summary

Urothelial carcinoma (UC) is the most frequently diagnosed cancer of the urinary tract and is ranked the sixth most diagnosed cancer in men worldwide. About 70–75% of newly diagnosed UCs are non-invasive or low grade. Different tests such as urine cytology and cystoscopy are used to detect UC. If abnormal tissue is found during cystoscopy, then a biopsy will be performed. Cytology has low sensitivity for low-grade cancer while cystoscopy is invasive and costly. Detecting UC early improves the chances of treatment success. Therefore, many researchers have painstakingly identified urine biological markers for non-invasive UC diagnosis. In this review, we summarize some of the latest and most promising biological markers (including FDA-approved and investigational markers). We also discuss some new technologies that can aid research efforts in biological marker discovery for early UC detection.

Abstract

Urothelial carcinoma (UC) is the most frequent malignancy of the urinary system and is ranked the sixth most diagnosed cancer in men worldwide. Around 70–75% of newly diagnosed UC manifests as the non-muscle invasive bladder cancer (NMIBC) subtype, which can be treated by a transurethral resection of the tumor. However, patients require life-long monitoring due to its high rate of recurrence. The current gold standard for UC diagnosis, prognosis, and disease surveillance relies on a combination of cytology and cystoscopy, which is invasive, costly, and associated with comorbidities. Hence, there is considerable interest in the development of highly specific and sensitive urinary biomarkers for the non-invasive early detection of UC. In this review, we assess the performance of current diagnostic assays for UC and highlight some of the most promising biomarkers investigated to date. We also highlight some of the recent advances in single-cell technologies that may offer a paradigm shift in the field of UC biomarker discovery and precision diagnostics.

Tumor heterogeneity and the potential role of liquid biopsy in bladder cancer

Bladder cancer (BC) is a heterogeneous disease that characterized by genomic instability and a high mutation rate. Heterogeneity in tumor may partially explain the diversity of responses to targeted therapies and the various clinical outcomes. A combination of cytology and cystoscopy is the standard methodology for BC diagnosis, prognosis, and disease surveillance. However, genomics analyses of single tumor‐biopsy specimens may underestimate the mutational burden of heterogeneous tumors. Liquid biopsy, as a promising technology, enables analysis of tumor components in the bodily fluids, such as blood and urine, at multiple time points and provides a minimally invasive approach that can track the evolutionary dynamics and monitor tumor heterogeneity. In this review, we describe the multiple faces of BC heterogeneity at the genomic and transcriptional levels and how they affect clinical care and outcomes. We also summarize the outcomes of liquid biopsy in BC, which plays a potential role in revealing tumor heterogeneity. Finally, we discuss the challenges that must be addressed before liquid biopsy can be widely used in clinical treatment.

Proteomic research and diagnosis in bladder cancer: state of the art review

Purpose:

Proteomic biomarkers have been emerging as alternative methods to the gold standard procedures of cystoscopy and urine cytology in the diagnosis and surveillance of bladder cancer (BC). This review aims to update the state of the art of proteomics research and diagnosis in BC.

Materials and Methods:

We reviewed the current literature related to BC research on urinary, tissue, blood and cell line proteomics, using the Pubmed database.

Findings:

Two urinary protein biomarkers are FDA-approved (NMP22® and BTA® tests), only if performed along with cystoscopy for surveillance after initial diagnosis, but not in the primary diagnostic setting due to high false-positive rates in case of infections, stones and hematuria. There are a great number of non-FDA approved proteins being studied, with good preliminary results; panels of proteins seem valuable tools to be refined in ongoing trials. Blood proteins are a bigger challenge, because of the complexity of the serum protein profile and the scarcity of blood proteomic studies in BC. Previous studies with the BC tissue proteome do not correlate well with the urinary proteome, likely due to the tumor heterogeneity. Cell line proteomic research helps in the understanding of basic mechanisms that drive BC development and progression; the main difficulty is culturing low-grade tumors in vitro, which represents the majority of BC tumors in clinical practice.

Conclusion:

Protein biomarkers have promising value in the diagnosis, surveillance and prognostic of BC. Urine is the most appropriate body fluid for biomarker research in BC due to its easiness of sampling, stability and enrichment of shed and secreted tumor-specific proteins. Panels of biomarkers may exhibit higher sensitivity than single proteins in the diagnosis of BC at larger populations due to clinical and tumor heterogeneity. Prospective clinical trials are warranted to validate the relevance of proteomic data in the clinical management of BC.

LC-MS-Based Plasma Metabolomics and Lipidomics Analyses for Differential Diagnosis of Bladder Cancer and Renal Cell Carcinoma

Bladder cancer (BC) and Renal cell carcinoma(RCC) are the two most frequent genitourinary cancers in China. In this study, a comprehensive liquid chromatography—mass spectrometry (LC-MS) based method, which utilizes both plasma metabolomics and lipidomics platform, has been carried out to discriminate the global plasma profiles of 64 patients with BC, 74 patients with RCC, and 141 healthy controls. Apparent separation was observed between cancer (BC and RCC) plasma samples and controls. The area under the receiving operator characteristic curve (AUC) was 0.985 and 0.993 by plasma metabolomics and lipidomics, respectively (external validation group: AUC was 0.944 and 0.976, respectively). Combined plasma metabolomics and lipidomics showed good predictive ability with an AUC of 1 (external validation group: AUC = 0.99). Then, separation was observed between the BC and RCC samples. The AUC was 0.862, 0.853 and 0.939, respectively, by plasma metabolomics, lipidomics and combined metabolomics and lipidomics (external validation group: AUC was 0.802, 0.898, and 0.942, respectively). Furthermore, we also found eight metabolites that showed good predictive ability for BC, RCC and control discrimination. This study indicated that plasma metabolomics and lipidomics may be effective for BC, RCC and control discrimination, and combined plasma metabolomics and lipidomics showed better predictive performance. This study would provide a reference for BC and RCC biomarker discovery, not only for early detection and screening, but also for differential diagnosis.

Gene Expression Profiles Identified Novel Urine Biomarkers for Diagnosis and Prognosis of High-Grade Bladder Urothelial Carcinoma

Bladder urothelial carcinoma (BC) has been identified as one of the most common malignant neoplasm worldwide. High-grade bladder urothelial carcinoma (HGBC) is aggressive with a high risk of recurrence, progression, metastasis, and poor prognosis. Therefore, HGBC clinical management is still a challenge. We performed the present study to seek new urine biomarkers for HGBC and investigate how they promote HGBC progression and thus affect the prognosis based on large-scale sequencing data. We identified the overlapped differentially expressed genes (DEGs) by combining GSE68020 and The Cancer Genome Atlas (TCGA) datasets. Subsequent receiver operating characteristic (ROC) curves, Kaplan-Meier (KM) curves, and Cox regression were conducted to test the diagnostic and prognostic role of the hub genes. Chi-square test and logistic regression were carried out to analyze the associations between clinicopathologic characteristics and the hub genes. Ultimately, we performed gene set enrichment analysis (GSEA), protein-protein interaction (PPI) networks, and Bayesian networks (BNs) to explore the underlying mechanisms by which ECM1, CRYAB, CGNL1, and GPX3 are involved in tumor progression. Immunohistochemistry based on The Human Protein Atlas and quantitative real-time polymerase chain reaction based on urine samples confirmed the downregulation and diagnostic values of the hub genes in HGBC. In conclusion, our study indicated that CRYAB, CGNL1, ECM1, and GPX3 are potential urine biomarkers of HGBC. These four novel urine biomarkers will have attractive applications to provide new diagnostic methods, prognostic predictors and treatment targets for HGBC, which could improve the prognosis of HGBC patients, if validated by further experiments and larger prospective clinical trials.

UPLC-MS based urine untargeted metabolomic analyses to differentiate bladder cancer from renal cell carcinoma

Background

To discover biomarker panels that could distinguish cancers (BC and RCC) from healthy controls (HCs) and bladder cancers (BC) from renal cell carcinoma (RCC), regardless of whether the patients have haematuria. In addition, we also explored the altered metabolomic pathways of BC and RCC.

Methods

In total, 403 participants were enrolled in our study, which included 146 BC patients (77 without haematuria and 69 with haematuria), 115 RCC patients (94 without haematuria and 21 with haematuria) and 142 sex- and age-matched HCs. Their midstream urine samples were collected and analysed by performing UPLC-MS. The statistical methods and pathway analyses were applied to discover potential biomarker panels and altered metabolic pathways.

Results

The panel of α-CEHC, β-cortolone, deoxyinosine, flunisolide, 11b,17a,21-trihydroxypreg-nenolone and glycerol tripropanoate could distinguish the patients with cancer from the HCs (the AUC was 0.950) and the external validation also displayed a good predictive ability (the AUC was 0.867). The panel of 4-ethoxymethylphenol, prostaglandin F2b, thromboxane B3, hydroxybutyrylcarnitine, 3-hydroxyphloretin and N′-formylkynurenine could differentiate BC from RCC without haematuria. The AUC was 0.829 in the discovering group and 0.76 in the external validation. The metabolite panel comprising 1-hydroxy-2-oxopropyl tetrahydropterin, 1-acetoxy-2-hydroxy-16-heptadecyn-4-one, 1,2-dehydrosalsolinol and L-tyrosine could significantly discriminate BC from RCC with haematuria (AUC was 0.913). Pathway analyses revealed altered lipid and purine metabolisms between cancer patients and HCs, together with disordered amino acid and purine metabolisms between BC and RCC with haematuria.

Conclusions

UPLC-MS urine metabolomic analyses could not only differentiate cancers from HCs but also discriminate BC from RCC. In addition, pathway analyses demonstrated a deeper metabolic mechanism of BC and RCC.

Utility of the EORTC risk tables and CUETO scoring model for predicting recurrence and progression in non-muscle-invasive bladder cancer patients treated with routine second transurethral resection

PURPOSE

Routine second transurethral resection (TUR) for non-muscle-invasive bladder cancer (NMIBC) is common practice in Germany. Applicability of European Organization for Research and Treatment of Cancer (EORTC) and Spanish Urological Club for Oncological Treatment (CUETO) models in NMIBC patients is still controversial. Aim of the study was to assess the performance of EORTC and CUETO predictive models in NMIBC patients treated with second TUR.

METHODS

479 NMIBC patients with routine second TUR were analyzed retrospectively between 2003 and 2011, and investigated with clinical and pathological variables in regard to tumor recurrence and progression. Furthermore, recurrencefree survival (RFS) and progression-free survival (PFS) were evaluated according to EORTC and CUETO, and the discrimination of the models assessed.

RESULTS

With a median follow-up of 60 months, prior recurrence rate, grade, and second TUR pathology were independent prognostic factors for the risk of disease recurrence and progression. The concordance index of the EORTC and the CUETO model was 0.563 and 0.516 for recurrence and 0.681 and 0.702 for progression, respectively. The positive pathology after second TUR was significantly associated with risk of disease recurrence and progression. EORTC and CUETO risk models estimated progression better than recurrence, especially with higherscore groups.

CONCLUSIONS

Improved predictive tools should be developed for optimal treatment selection.

Bladder Cancer Diagnosis and Follow-Up: The Current Status and Possible Role of Extracellular Vesicles

Diagnostic methods currently used for bladder cancer are cystoscopy and urine cytology. Cystoscopy is an invasive tool and has low sensitivity for carcinoma in situ. Urine cytology is non-invasive, is a low-cost method, and has a high specificity but low sensitivity for low-grade urothelial tumors. Despite the search for urinary biomarkers for the early and non-invasive detection of bladder cancer, no biomarkers are used at the present in daily clinical practice. Extracellular vesicles (EVs) have been recently studied as a promising source of biomarkers because of their role in intercellular communication and tumor progression. In this review, we give an overview of Food and Drug Administration (FDA)-approved urine tests to detect bladder cancer and why their use is not widespread in clinical practice. We also include non-FDA approved urinary biomarkers in this review. We describe the role of EVs in bladder cancer and their possible role as biomarkers for the diagnosis and follow-up of bladder cancer patients. We review recently discovered EV-derived biomarkers for the diagnosis of bladder cancer.

Metabolite marker discovery for the detection of bladder cancer by comparative metabolomics

Bladder cancer is one of the most common urinary tract carcinomas in the world. Urine metabolomics is a promising approach for bladder cancer detection and marker discovery since urine is in direct contact with bladder epithelia cells; metabolites released from bladder cancer cells may be enriched in urine samples. In this study, we applied ultra-performance liquid chromatography time-of-flight mass spectrometry to profile metabolite profiles of 87 samples from bladder cancer patients and 65 samples from hernia patients. An OPLS-DA classification revealed that bladder cancer samples can be discriminated from hernia samples based on the profiles. A marker discovery pipeline selected six putative markers from the metabolomic profiles. An LLE clustering demonstrated the discriminative power of the chosen marker candidates. Two of the six markers were identified as imidazoleacetic acid whose relation to bladder cancer has certain degree of supporting evidence. A machine learning model, decision trees, was built based on the metabolomic profiles and the six marker candidates. The decision tree obtained an accuracy of 76.60%, a sensitivity of 71.88%, and a specificity of 86.67% from an independent test.

A review of validated biomarkers obtained through metabolomics

INTRODUCTION

Studying changes in the whole set of small molecules, final products of biochemical reactions in living systems or metabolites, is extremely appealing because they represent the best approach to identifying what occurs in an organism when samples are collected. However, their usefulness as potential biomarkers is limited by discoveries obtained in small groups without proper validation or even confirmation of the chemical structure. Areas covered: During the past 5 years, more than 900 papers have been published on metabolomics for biomarker discovery, but the numbers are much lower when some criteria of validation are applied. In total, 102 papers have been included in this review. The most frequent disease areas in which these markers have been discovered include the following: cancer, diabetes, and related diseases and neurodegenerative, cardiovascular, autoimmune, liver, and kidney diseases. Expert commentary: Metabolomics has been demonstrated as rapidly growing due to the improvements in instrumentation, mainly mass spectrometry, and data mining software. For application in the clinic, the results should be validated in different stages, from analytical validation to validation in independent sets of samples, using thousands of samples from different sources.

Investigation of the urinary metabolic variations and the application in bladder cancer biomarker discovery

Urine metabolomics have been used to identify biomarkers for clinical diseases. However, inter-individual variations and effect factors need to be further evaluated. In our study, we explored the urine metabolome in a cohort of 203 health adults, 6 patients with benign bladder lesions, and 53 patients with bladder cancer (BCa) using liquid chromatography coupled with high resolution mass spectrometry. Inter-individual analysis of both healthy controls and BCa patients showed that the urine metabolome was relatively stable. Further analysis indicated that sex and age affect inter-individual variations in urine metabolome. Metabolic pathways such as tryptophan metabolism, the citrate cycle, and pantothenate and CoA biosynthesis were found to be related to sex and age. To eliminate age and sex interference, additional BCa urine metabolomic biomarkers were explored using age and sex-matched urine samples (Test group: 44 health adults vs. 33 patients with BCa). Metabolic profiling of urine could significantly differentiate the cases with cancer from the controls and high-grade from low-grade BCa. A metabolite panel consisting of trans-2-dodecenoylcarnitine, serinyl-valine, feruloyl-2-hydroxyputrescine, and 3-hydroxynonanoyl carnitine were discovered to have good predictive ability for BCa with an area under the curve (AUC) of 0.956 (cross validation: AUC = 0.924). A panel of indolylacryloylglycine, N₂ -galacturonyl-L-lysine, and aspartyl-glutamate was used to establish a robust model for high- and low-grade BCa distinction with AUC of 0.937 (cross validation: AUC = 0.891). External sample (26 control vs. 20 BCa) validation verified the acceptable accuracy of these models for BCa detection. Our study showed that urinary metabolomics is a useful strategy for differential analysis and biomarker discovery.

Cofilin 1 promotes bladder cancer and is regulated by TCF7L2

Earlier reports demonstrated that Cofilin expression is increased in bladder cancer samples, though its function remains unknown. Here, we found that Cofilin 1 expression was higher in bladder cancer tissues than in paracancerous tissues. Overexpression of Cofilin 1 promoted, while Cofilin 1 knockdown inhibited, proliferation, migration, and invasion in the T24 and RT4 bladder cancer cell lines. In addition, Cofilin 1 overexpression increased, while Cofilin 1 knockdown decreased, bladder tumor volumes in mouse xenograft experiments. Transcription factor 7-like 2 (TCF7L2) targeted the promoter of the Cofilin 1 gene, and TCF7L2 knockdown or mutations in the Cofilin 1 promoter dramatically decreased Cofilin 1 transcription. TCF7L2 promoted cell proliferation and migration and increased Cofilin 1 protein levels in RT4 and T24 cells. Thus, TCF7L2 contributed to Cofilin 1-induced promotion of bladder cancer development by binding to the Cofilin 1 promoter and increasing its expression.

Epigenome-Wide DNA Methylation Profiling Identifies Differential Methylation Biomarkers in High-Grade Bladder Cancer

Epigenetic changes, including CpG island hypermethylation, occur frequently in bladder cancer (BC) and may be exploited for BC detection and distinction between high-grade (HG) and low-grade (LG) disease. Genome-wide methylation analysis was performed using Agilent Human CpG Island Microarrays to determine epigenetic differences between LG and HG cases. Pathway enrichment analysis and functional annotation determined that the most frequently methylated pathways in HG BC were enriched for anterior/posterior pattern specification, embryonic skeletal system development, neuron fate commitment, DNA binding, and transcription factor activity. We identified 990 probes comprising a 32-gene panel that completely distinguished LG from HG based on methylation. Selected genes from this panel, EOMES, GP5, PAX6, TCF4, and ZSCAN12, were selected for quantitative polymerase chain reaction–based validation by MethyLight in an independent series (n = 84) of normal bladder samples and LG and HG cases. GP5 and ZSCAN12, two novel methylated genes in BC, were significantly hypermethylated in HG versus LG BC (P ≤ .03). We validated our data in a second independent cohort of LG and HG BC cases (n = 42) from The Cancer Genome Atlas (TCGA). Probes representing our 32-gene panel were significantly differentially methylated in LG versus HG tumors (P ≤ .04). These results indicate the ability to distinguish normal tissue from cancer, as well as LG from HG, based on methylation and reveal important pathways dysregulated in HG BC. Our findings were corroborated using publicly available data sets from TCGA. Ultimately, the creation of a methylation panel, including GP5 and ZSCAN12, able to distinguish between disease phenotypes will improve disease management and patient outcomes.

Validation of the diagnostic utility of urinary midkine for the detection of bladder cancer

As it has been demonstrated previously that midkine (also known as neurite growth-promoting factor 2) protein levels in urine of bladder cancer (BCa) patients are increased compared to healthy controls, the present study validated the diagnostic utility of midkine in an independent patient cohort and compared the observed values with voided urine cytology (VUC), which is the current reference standard for non-invasive diagnosis of BCa. Voided urine samples were prospectively collected from 92 BCa patients and 70 control subjects. Protein levels of midkine were assessed using a commercially available enzyme-linked immunosorbent assay and normalized to urinary creatinine. The diagnostic performance of urinary midkine was evaluated by receiver operating characteristic curves. The best combinations of sensitivities and specificities were determined by Youden's Index. Midkine concentrations were significantly elevated in urine samples from BCa patients compared to controls (P<0.001; Mann-Whitney U Test). The level of midkine was associated with disease progression, with the highest concentrations in urine specimens of patients with pT1 and ≥pT2a, as well as high-grade tumors (P<0.001; Mann-Whitney U test). Sensitivities of urinary midkine and VUC were 69.7 and 87.6%, respectively. The corresponding specificities for midkine and VUC were 77.9 and 87.7%, respectively. The combined use of VUC and midkine improved the sensitivity to 93.3%, but reduced the specificity to 66.2%. Despite its reduced discriminatory power for low-grade and low-stage BCa, urinary midkine can be utilized for the identification of high-grade pT1 and ≥pT2a tumors. This means that midkine may potentially be suitable for the identification of patients with high risk BCa.

Measuring midkine: the utility of midkine as a biomarker in cancer and other diseases

Midkine (MK) is a pleiotropic growth factor prominently expressed during embryogenesis but down-regulated to neglible levels in healthy adults. Many published studies have demonstrated striking MK overexpression compared with healthy controls in various pathologies, including ischaemia, inflammation, autoimmunity and, most notably, in many cancers. MK expression is detectable in biopsies of diseased, but not healthy, tissues. Significantly, because it is a soluble cytokine, elevated MK is readily apparent in the blood and other body fluids such as urine and CSF, making MK a relatively convenient, accessible, non-invasive and inexpensive biomarker for population screening and early disease detection. The first diagnostic tests that quantify MK are just now receiving regulatory clearance and entering the clinic. This review examines the current state of knowledge pertaining to MK as a biomarker and highlights promising indications and clinical settings where measuring MK could make a difference to patient treatment. I also raise outstanding questions about reported variants of MK as well as MK's bio-distribution in vivo. Answering these questions in future studies will enhance our understanding of the significance of measured MK levels in both patients and healthy subjects, and may reveal further opportunities for measuring MK to diagnose disease. MK has already proven to be a biomarker that can significantly improve detection, management and treatment of cancer, and there is significant promise for developing further MK-based diagnostics in the future.

Evaluation of urinary miRNA-96 as a potential biomarker for bladder cancer diagnosis

For bladder cancer, a new diagnostic marker is needed to avoid painful cystoscopy. The aim of this study was to explore the efficacy of urinary miRNA-96 as molecular marker in bladder cancer diagnosis and its relation to bilharziasis. Urine cytology, serologic assessment of schistosomiasis and estimation of miRNA-96 by real-time PCR were carried out for 94 bladder cancer patients, 30 benign bladder lesions and 60 healthy individuals. Expression of miRNA-96 showed a significant difference among the three tested groups and also between benign and malignant bilharzial cases. Urinary miRNA-96 is a good noninvasive diagnostic biomarker for bladder cancer.

Glycosylation of uroplakins. Implications for bladder physiopathology

Urothelium, a specialized epithelium, covers the urinary tract and act not only as a barrier separating its light from the surrounding tissues, but fulfills an important role in maintaining the homeostasis of the urothelial tract and well-being of the whole organism. Proper function of urothelium is dependent on the precise assemble of highly specialized glycoproteins called uroplakins, the end products and differentiation markers of the urothelial cells. Glycosylation changes in uroplakins correlate with and might reflect progressive stages of pathological conditions of the urothelium such as cancer, urinary tract infections, interstitial cystitis and others. In this review we focus on sugar components of uroplakins, their emerging role in urothelial biology and disease implications. The advances in our understanding of uroplakins changes in glycan moieties composition, structure, assembly and expression of their glycovariants could potentially lead to the development of targeted therapies and discoveries of novel urine and plasma markers for the benefit of patients with urinary tract diseases.

Prospective evaluation of fluorescence-guided cystoscopy to detect bladder cancer in a high-risk population: results from the UroScreen-Study

Objective

To prospectively evaluate the role of fluorescence-guided cystoscopy in a high-risk bladder cancer population undergoing screening based on a multi-marker panel of urine-tests (UroScreen-study).

Patients and methods

UroScreen was conducted as a validation study for tumor markers within the frame of a health surveillance program of workers with occupational exposure to aromatic amines. Voluntary annual screens were done in 1,609 men. Cytology, quantitative NMP22® assay, and UroVysion (FISH) were applied to 7091 urine samples. Subjects with at least one positive urine-based tumor marker and/or persisting microscopic hematuria were offered fluorescence-guided (PDD) instead of white light cystoscopy. In case of suspicious findings histopathological evaluation by transurethral biopsy was performed. Data were statistically summarized and compared to tumors found by the standard algorithm of the screening study.

Results

Twenty-two subjects with a mean age of 58 years (39–72) underwent PDD cystoscopy. Of those 3 had positive NMP22 tests, 14 positive FISH tests and 9 suspicious cytologies. Two had persisting microscopic hematuria only. PDD cystoscopy revealed enhanced unifocal fluorescence in 14. All had subsequent transurethral biopsy or resection. In total, 1 urothelial carcinoma (pTaG1, low grade) was diagnosed. In the other participants urothelial cancer of the bladder was ruled out. Chronic cystitis was revealed in 8 of 14 biopsies. No higher detection rate was found using PDD than with the standard algorithm of the UroScreen study in which 17 tumors were detected by white light cystoscopy.

Conclusion

The use of PDD does not lead to a higher cancer detection rate in a high-risk screening population. Larger sample sizes may be needed to ultimately asses the value of PDD for bladder cancer screening.

Evaluation of urinary HURP mRNA as a marker for detection of bladder cancer: relation to bilharziasis

This study was carried out to assess the efficacy of urinary hepatoma up-regulated protein (HURP) RNA in bladder cancer diagnosis and its relation to bilharziasis. Voided urine samples and blood were collected from 344 consecutive participants: 211 patients diagnosed with bladder cancer, 71 patients with benign urological disorders and 62 healthy volunteers. Serologic assessment of schistosomiasis antibody in sera, urine cytology and estimation of HURP RNA by reverse transcription polymerase chain reaction in urothelial cells was carried out in all samples. HURP RNA expression showed a significant difference among the three investigated groups. The best cutoff point for HURP RNA was determined as 0.0132 at 78.67 % sensitivity and 94 % specificity. The sensitivity of urine cytology was improved when combined with HURP RNA in detection of early stage (77.3 %), low grade (85.3 %) and bilharzial bladder cancer (78.1 %). Detection of urinary HURP RNA is a useful non-invasive test for early detection of bladder cancer and bilharzial bladder cancer and it improves sensitivity of urine cytology up to 91 %.

Sandwich ELISA for detecting urinary Survivin in bladder cancer

OBJECTIVE

Survivin as a tumor marker in the diagnosis of bladder cancer has not been completely confirmed yet and there are few reports about using Survivin enzyme-linked immunosorbent assay (ELISA) kit to detect the urine of bladder cancer patients. This study aimed to develop a Survivin ELISA and validate its value in the detection of bladder cancer.

METHODS

Through square matrix titration, different combinations of coating antibody and detecting antibody, a Survivin ELISA was constructed. This assay was evaluated according to intra-assay precision, inter-assay precision and minimum detectable dose (MDD). Survivin levels were detected and analyzed in 102 bladder cancer patients and 102 healthy people by established ELISA. Then cutoff value was defined according to the analysis of receiver operating characteristic (ROC) curve. The sensitivity and specificity of detection were calculated on the basis of cutoff value to diagnose bladder cancer patients. Furthermore, the value of Survivin expression detected by ELISA among different clinicopathological characteristics of patients was also compared.

RESULTS

Through optimization of different conditions, intra-assay precision was 8.39%, inter-assay precision 8.57% and MDD 0.0625 ng/mL in this assay. When the optical density at 450 nm (OD450) was 0.09, it could get the optimized diagnostic cutoff value. According to this value, the sensitivity and specificity of diagnosis in bladder cancer patients were 70.6% and 89.2%, respectively. The associations between patients' clinical variables and OD450 were not significant except tumor numbers in patients.

CONCLUSIONS

This experiment has preliminarily developed a Survivin ELISA and confirmed Survivin as a biomarker which owned a practical and significant value in the diagnosis of bladder cancer.

A high-throughput assay for the detection of Tyr-phosphorylated proteins in urine of bladder cancer patients

BACKGROUND

Bladder cancer has the peculiarity of shedding neoplastic cells and their components in urine representing a valuable opportunity to detect diagnostic markers. Using a semi-quantitative method we previously demonstrated that the levels of Tyr-phosphorylated proteins (TPPs) are highly increased in bladder cancer tissues and that soluble TPPs can also be detected in patient's urine samples. Although the preliminary evaluation showed very promising specificity and sensitivity, insufficient accuracy and very low throughput of the method halted the diagnostic evaluation of the new marker. To overcome this problem we developed a quantitative methodology with high sensitivity and accuracy to measure TPPs in urine.

METHODS

The Immobilized Metal Affinity Chromatography (IMAC) was miniaturized in a 96 well format. Luminescence, visible and infrared fluorescence antibody-based detection methods were comparatively evaluated.

RESULTS

Due to their low abundance we evidenced that both phosphoprotein enrichment step and very sensitive detection methods are required to detect TPPs in urine samples. To pursue high throughput, reproducibility and cost containment, which are required for bladder cancer screening programs, we coupled the pre-analytical IMAC procedure with high sensitive detection phases (infrared fluorescence or chemiluminescence) in an automated platform.

CONCLUSIONS

A high throughput method for measuring with high sensitivity TPP levels in urine samples is now available for large clinical trial for the establishment of the diagnostic and predictive power of TPPs as bladder cancer marker.

GENERAL SIGNIFICANCE

The new assay represents the first quantitative and high throughput method for the measurement of TPPs in urine.

Does phosphorylation of cofilin affect the progression of human bladder cancer?

Background

We determined the differently expressed protein profiles and their functions in bladder cancer tissues with the aim of identifying possible target proteins and underlying molecular mechanisms for taking part in their progression.

Methods

We examined the expression of proteins by proteomic analysis and western blot in normal urothelium, non-muscle-invasive bladder cancers (NMIBCs), and muscle-invasive bladder cancers (MIBCs). The function of cofilin was analyzed using T24 human bladder cancer cells.

Results

The expression levels of 12 proteins were altered between bladder cancers and normal bladder tissues. Of these proteins, 14-3-3σ was upregulated in both NMIBCs and MIBCs compared with controls. On the other hand, myosin regulatory light chain 2, galectin-1, lipid-binding AI, annexin V, transthyretin, CARD-inhibitor of NF-κB-activating ligand, and actin prepeptide were downregulated in cancer samples. Cofilin, an actin-depolymerizing factor, was prominent in both NMIBCs and MIBCs compared with normal bladder tissues. Furthermore, we confirmed that cofilin phosphorylation was more prominent in MIBCs than in NMIBCs using immunoblotting and immunohistochemcal analyses. Epidermal growth factor (EGF) increased the phosphorylation of cofilin and elevated the migration in T24 cells. Knockdown of cofilin expression with small interfering RNA attenuated the T24 cell migration in response to EGF.

Conclusions

These results demonstrate that the increased expression and phosphorylation of cofilin might play a role in the occurrence and invasiveness of bladder cancer. We suspected that changes in cofilin expression may participate in the progression of the bladder cancer.

Contribution of proteomics to the study of the role of cytokeratins in disease and physiopathology

Cytokeratins (CKs), the most abundant group of cytoskeletal intermediate filaments, and proteomics are strongly connected. On the one hand, proteomics has been extremely useful to uncover new features and functions of CKs, on the other, the highly abundant CKs serve as an exceptional tool to test new technological developments in proteomics. As a result, proteomics has contributed to finding valuable associations of CKs with diseases as diverse as cancer, cystic fibrosis, steatohepatitis, viral and bacterial infection, keratoconus, vitreoretinopathy, preeclampsia or the chronic fatigue syndrome, as well as to characterizing their participation in a number of physiopathological processes, including drug resistance, response to toxicants, inflammation, stem cell differentiation, embryo development, and tissue repair. In some cases, like in cystic fibrosis, CKs have been described as potential therapeutic targets. The development of a specific field of proteomics where CKs become the main subject of research aims and hypotheses is suggested.

Plasma microRNA profiles for bladder cancer detection

BACKGROUND

Bladder cancer (BC) is a burdensome disease with significant morbidity, mortality, and cost. The development of novel plasma-based biomarkers for BC diagnosis and surveillance could significantly improve clinical outcomes and decrease health expenditures. Plasma miRNAs are promising biomarkers that have yet to be rigorously investigated in BC.

OBJECTIVE

To determine the feasibility and efficacy of detecting BC with plasma miRNA signatures.

MATERIALS AND METHODS

Plasma miRNA was isolated from 20 patients with bladder cancer and 18 noncancerous controls. Samples were analyzed with a miRNA array containing duplicate probes for each miRNA in the Sanger database. Logistic regression modeling was used to optimize diagnostic miRNA signatures to distinguish between muscle invasive BC (MIBC), non-muscle-invasive BC (NMIBC) and noncancerous controls.

RESULTS

Seventy-nine differentially expressed plasma miRNAs (local false discovery rate [FDR] <0.5) in patients with or without BC were identified. Some diagnostically relevant miRNAs, such as miR-200b, were up-regulated in MIBC patients, whereas others, such as miR-92 and miR-33, were inversely correlated with advanced clinical stage, supporting the notion that miRNAs released in the circulation have a variety of cellular origins. Logistic regression modeling was able to predict diagnosis with 89% accuracy for detecting the presence or absence of BC, 92% accuracy for distinguishing invasive BC from other cases, 100% accuracy for distinguishing MIBC from controls, and 79% accuracy for three-way classification between MIBC, NIMBC, and controls.

CONCLUSIONS

This study provides preliminary data supporting the use of plasma miRNAs as a noninvasive means of BC detection. Future studies will be required to further specify the optimal plasma miRNA signature, and to apply these signatures to clinical scenarios, such as initial BC detection and BC surveillance.

Evaluation of acridine orange fluorescence in exfoliative urinary cytology for diagnosing bladder carcinoma

PURPOSE

This study reviewed acridine orange fluorescence (AO-F) in exfoliative urinary cytology results of 1,016 inpatients with urothelial cell carcinoma of the bladder and 804 outpatients to investigate the value of AO-F in the diagnosis of bladder cancer.

METHODS

A total of 1,016 bladder cancer inpatients from October 1995 to October 2005 and 804 outpatients from January 2004 to January 2006 were enrolled in this study. Each patient provided the morning urine specimen of 30-50 ml in a sterile container. Urine sediments were stained by acridine orange and observed with a fluorescence microscope; 60 bladder cancer inpatients from January 2006 to July 2007 were also chosen for the control study of three different detection methods, including AO-F, hematoxylin and eosin and Feulgen staining.

RESULTS

Of the 1,016 bladder carcinoma samples analyzed, 793 were AO-F positive. Total positive rate of AO-F was 78.05 %. The positive rate was 74.69 % (611/818) for non-muscle invasive bladder carcinoma and 91.91 % (182/198) for muscle invasive bladder carcinoma. A significant correlation of AO-F positivity with clinical stage was observed (P < 0.01). The positive rates among various pathological grades were 66.7 % (32/48) for G1, 67.5 % (319/474) for G2 and 90.4 % (413/457) for G3 with significant differences (P < 0.01). For the 804 outpatients, the sensitivity and specificity of bladder carcinoma were 77.11 and 85.29 %, respectively.

CONCLUSIONS

With its high sensitivity and specificity, AO-F is superior to other detection methods for bladder carcinoma detection. In addition, it is familiar, non-invasive, quick, cheap and easily repeatable.

Fibroblast growth factor receptor-3 in urothelial tumorigenesis

Fibroblast growth factor receptor-3 (FGFR3) is a receptor tyrosine kinase implicated in the tumorigenesis of multiple malignancies, including bladder and other urothelial cancers, multiple myeloma, and cervical cancer. In urothelial carcinoma (UC), constitutive receptor activation occurs most commonly through substitution of a wild-type residue with cysteine in the extracellular domain of FGFR3, thereby resulting in dimerization (through disulfide bridge formation) and subsequent stimulation of tyrosine kinase activity. Activating mutations of FGFR3 have been observed in up to 70% of non-muscle-invasive bladder tumors, while overexpression of a wild-type receptor, found in approximately 40% of tumors, has been correlated with more invasive disease. The identification of FGFR3 mutations in UC has sparked substantial interest in the therapeutic exploitation of these aberrations, and in vitro studies have provided evidence that such alterations may represent driver oncogenic lesions. In this review, we discuss the biologic and prognostic impact of FGFR3 mutations in UC as well as FGFR3 as a potential target for novel therapeutics.

Profilin 1 is a potential biomarker for bladder cancer aggressiveness

Of the most important clinical needs for bladder cancer (BC) management is the identification of biomarkers for disease aggressiveness. Urine is a "gold mine" for biomarker discovery, nevertheless, with multiple proteins being in low amounts, urine proteomics becomes challenging. In the present study we applied a fractionation strategy of urinary proteins based on the use of immobilized metal affinity chromatography for the discovery of biomarkers for aggressive BC. Urine samples from patients with non invasive (two pools) and invasive (two pools) BC were subjected to immobilized metal affinity chromatography fractionation and eluted proteins analyzed by 1D-SDS-PAGE, band excision and liquid chromatography tandem MS. Among the identified proteins, multiple corresponded to proteins with affinity for metals and/or reported to be phosphorylated and included proteins with demonstrated association with BC such as MMP9, fibrinogen forms, and clusterin. In agreement to the immobilized metal affinity chromatography results, aminopeptidase N, profilin 1, and myeloblastin were further found to be differentially expressed in urine from patients with invasive compared with non invasive BC and benign controls, by Western blot or Elisa analysis, nevertheless exhibiting high interindividual variability. By tissue microarray analysis, profilin 1 was found to have a marked decrease of expression in the epithelial cells of the invasive (T2+) versus high risk non invasive (T1G3) tumors with occasional expression in stroma; importantly, this pattern strongly correlated with poor prognosis and increased mortality. The functional relevance of profilin 1 was investigated in the T24 BC cells where blockage of the protein by the use of antibodies resulted in decreased cell motility with concomitant decrease in actin polymerization. Collectively, our study involves the application of a fractionation method of urinary proteins and as one main result of this analysis reveals the association of profilin 1 with BC paving the way for its further investigation in BC stratification.

Rationale for an early detection program for bladder cancer

Introduction:

A total of 356,557 new cases were diagnosed annually worldwide in 2009, it was estimated that 52,810 new patients were to be diagnosed with bladder cancer and there were 10,180 projected deaths from the disease in the USA. Despite being the fourth commonest cancer in men, we do not have an early detection/screening program for bladder cancer. The review was aimed at looking at the evidence for the rationale for an early detection program for bladder cancer.

Materials and Methods:

A detailed search on bladder cancer epidemiology, diagnosis, pathology, tumor markers, treatment outcomes, screening, morbidity and mortality of bladder cancer was carried out on Pubmed central/Medline. Original articles, review articles, monograms, book chapters on bladder cancer, text books on urological oncology, oncology and urology were reviewed. The latest information for new articles before publication was last accessed in June 2010.

Discussion and Conclusions:

Bladder cancer is the fourth commonest cancer in men, the annual death rate from this disease is significant and every year there is an increase in its incidence globally. The prognosis of bladder cancer is stage and grade dependent; the lower the stage (T2 or less) the better is the survival. Delay in the diagnosis and treatment does alter the overall outcome. Therefore, there is a clear need for early detection of bladder cancer and screening program. Although we do not have an ideal marker for bladder cancer, it is time we maximize the potential of markers such as UroVysion, NMP22 along with cytology to start such a program. May be as a first step the early detection and screening program could be started in high-risk population. It is not worth waiting till we find the best marker as it would be unfair to our patients. The fear of unnecessary tests and treatment in bladder cancer after its detection in screening program is without any substance. The cost-effectiveness of such a program is certainly comparable to that is used for colon or breast and for prostate as well.

Annual endoscopy and urine cytology for the surveillance of bladder tumors after enterocystoplasty for congenital bladder anomalies

PURPOSE

It is currently recommended that patients with congenital bladder anomalies managed by enterocystoplasty undergo annual surveillance with urine cytology and endoscopy. We reviewed our experience with this protocol and suggest modifications based on this experience.

MATERIALS AND METHODS

A total of 65 patients 10 years or more after enterocystoplasty were placed on an annual surveillance protocol consisting of interval medical history, renal-bladder ultrasound, serum B12, electrolytes, creatinine, urinalysis, urine cytology and endoscopy.

RESULTS

Of the 65 patients 50 (77%) with enterocystoplasty (ileal in 40 and colonic in 10) remain on the protocol. Median age at the initiation of surveillance was 28 years (range 24 to 40) with a median time from augmentation of 15 years (range 12 to 29). During the first 5 years of surveillance 26 of 250 cytology results (10.5%) were suspicious for cancer. Further evaluation revealed no evidence of malignancy. Specificity for cytology was 90% with unknown sensitivity. Of 250 surveillance endoscopic evaluations 4 lesions (1.6%) were identified and biopsied/removed. Pathological evaluation revealed 1 adenomatous polyp, 1 squamous metaplasia and 2 nephrogenic adenomas. Due to the low event rate and high cost routine cytology and endoscopy were discontinued after each patient completed 5 years of followup and annual evaluations were maintained. No tumors developed during the median surveillance interval of 15 years (range 12 to 20). Currently median patient age is 42 years (range 36 to 59) and median time since augmentation is 27 years (range 23 to 40).

CONCLUSIONS

Due to the low incidence of malignancy, lack of proven benefit and enhanced cost containment we recommend that annual surveillance endoscopy and cytology be discontinued.

The impact of biomarkers in multivariate algorithms for bladder cancer diagnosis in patients with hematuria

BACKGROUND

We appraised 23 biomarkers previously associated with urothelial cancer in a case-control study. Our aim was to determine whether single biomarkers and/or multivariate algorithms significantly improved on the predictive power of an algorithm based on demographics for prediction of urothelial cancer in patients presenting with hematuria.

METHODS

Twenty-two biomarkers in urine and carcinoembryonic antigen (CEA) in serum were evaluated using enzyme-linked immunosorbent assays (ELISAs) and biochip array technology in 2 patient cohorts: 80 patients with urothelial cancer, and 77 controls with confounding pathologies. We used Forward Wald binary logistic regression analyses to create algorithms based on demographic variables designated prior predicted probability (PPP) and multivariate algorithms, which included PPP as a single variable. Areas under the curve (AUC) were determined after receiver-operator characteristic (ROC) analysis for single biomarkers and algorithms.

RESULTS

After univariate analysis, 9 biomarkers were differentially expressed (t test; P < .05). CEA AUC 0.74; bladder tumor antigen (BTA) AUC 0.74; and nuclear matrix protein (NMP22) 0.79. PPP included age and smoking years; AUC 0.76. An algorithm including PPP, NMP22, and epidermal growth factor (EGF) significantly improved AUC to 0.90 when compared with PPP. The algorithm including PPP, BTA, CEA, and thrombomodulin (TM) increased AUC to 0.86. Sensitivities = 91%, 91%; and specificities = 80%, 71%, respectively, for the algorithms.

CONCLUSIONS

Addition of biomarkers representing diverse carcinogenic pathways can significantly impact on the ROC statistic based on demographics. Benign prostate hyperplasia was a significant confounding pathology and identification of nonmuscle invasive urothelial cancer remains a challenge.

Aberrant methylation of RARbeta2 and APC genes in voided urine as molecular markers for early detection of bilharzial and nonbilharzial bladder cancer

BACKGROUND

Bladder cancer cells illustrate major disruptions in their DNA methylation patterns as compared with normal ones. Authors aimed to identify epigenetic molecular markers in urine for early detection of bladder cancer.

MATERIALS AND METHODS

We retrospectively analyzed the methylation status of RARβ(2) and APC genes in urine samples from 210 bladder cancer patients, 61 patients with benign urological diseases, and 49 healthy volunteers by using methylation-specific PCR.

RESULTS

Methylated RARβ(2) and APC were significantly higher in bladder cancer patients (62.8%, 59.5%) than benign (16.4%, 5%) but not detected in healthy volunteers (0%) at (P < 0.0001). Both methylated genes showed no significant difference among clinicopathologic factors; however, they were detected in all grades and stages. Among the 128 patients with bilharzial bladder cancer, 94 (73.4%) showed methylated RARβ(2) and 86 (67.2%) showed methylated APC. Homoplasmic methylation pattern of both genes were only detected in bilharzial bladder cancer cases. Both sensitivities and specificities of the methylated genes for bladder cancer detection were superior to urine cytology and when altogether combined, the sensitivities improved to (91.8%), (93.5%), (91.9%), and (80.9%) in detection of: bladder cancer, non-muscle invasive bladder cancer, low-grade tumors, and bilharzial associated bladder cancer, respectively.

CONCLUSION

Thus, methylated RARβ(2) and APC genes might be valuable urinary molecular markers for early detection of bilharzial and nonbilharzial bladder cancer.