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.     

Holistic metabonomic profiling of urine affords potential early diagnosis for bladder and kidney cancers

The clinical exploration of urinary metabonomic analysis on discriminating between the top-two-incidence urological cancers, bladder and kidney cancers (BC and KC), is still virgin land. In this study, we discovered and evaluated the clinical utility of holistic metabonomic profiling and current single biomarker methods, and ultimately suggested a potential screening test for BC and KC. Urine metabonomic profiling for 19 BC patients, 25 KC patients, and 24 healthy controls was carried out using an LC–MS based platform, which utilized both reversed phase chromatography and hydrophilic interaction chromatography. The holistic method that refers to orthogonal partial least-squares-discriminant analysis based on all qualified profile data, successfully classified BC, KC and healthy control groups, showing 100 % sensitivity and specificity. Taurine, hippuric acid, phenylacetylglutamine and carnitine species contributed most to the BC and KC discrimination. The predictive power of each above metabolite is evaluated using receiver operator characteristic technique. Hippuric acid was found 10-fold decrease in concentration relative healthy controls, and performed the best as a biomarker for BC diagnosis, with its sensitivity and specificity of 78.9 and 86.5 %, respectively. Carnitine C10:3 was found 1.5-fold decrease, and reached 84.0 % of sensitivity and 60.5 % of specificity for KC diagnosis. In view of both sensitivity and specificity, the holistic method is more accurate for detecting BC and KC, than current single metabonomic biomarker methods, and it could be advocated as a prescreen to other forms of more invasive or uncomfortable screening. Moreover, this approach also demonstrates attractive performance in diagnosis of early stage (ES) BC and KC patients.     

Discovery of Apo-A1 as a potential bladder cancer biomarker by urine proteomics and analysis

Bladder cancer is clinically characterized by high recurrent rate and poor prognosis and thereby patients need regular re-examinations which are invasive, unpleasant, and expensive. A noninvasive and less expensive method for detecting and monitoring bladder cancer would thus be advantageous. In this study, by using the two-dimensional electrophoresis (2-DE) approach with subsequent mass spectrometry (MS), we demonstrated the increased expression of apolipoprotein-A1 (Apo-A1) in individual urine from patients with bladder cancer, which was confirmed by Western blot results. A further analysis of the urinary Apo-A1 levels by an enzyme-linked immunosorbent assay yielded results that were consistent with the Western blot, and suggested Apo-A1 could provide diagnostic utility to distinguish patients with bladder cancer from healthy controls at 19.21 ng/ml. Further validation assay in a larger number of urine samples (n = 379) showed that Apo-A1 could be used as a biomarker to diagnosis bladder cancer with a sensitivity and specificity of 89.2% and 84.6% respectively. Moreover, the application of exfoliative urinary cytology in combination with the urine Apo-A1 detection could significantly increased the sensitivity in detecting bladder cancer. Our data showed a significant relationship of expressed Apo-A1 was established between bladder cancer and normal controls. Apo-A1 could be a potential biomarker for the diagnosis of bladder cancer.     

Exosomal miR‐663b targets Ets2‐repressor factor to promote proliferation and the epithelial–mesenchymal transition of bladder cancer cells

Exosomes circulating in biological fluids have the potential to be utilized as cancer biomarkers and are associated with cancer progression and metastasis. MicroRNA (miR)‐663b has been found to be elevated in plasma from patients with bladder cancer (BC). However, the functional role of exosomal miR‐663b in BC processes remains unknown. Here, we isolated exosomes from plasma and found that the miR‐663b level was elevated in exosomes from plasma of patients with BC compared with healthy controls. Exosomal miR‐663b from BC cells promoted cell proliferation and epithelial–mesenchymal transition. Moreover, exosomal miR‐663b targeted Ets2‐repressor factor and acted as a tumor promoter in BC cells. Taken together, our findings suggested that exosomal miR‐663b is a promising potential biomarker and target for clinical detection and therapy in BC.     

Bladder cancer associated glycoprotein signatures revealed by urinary proteomic profiling

Current methods in the noninvasive detection and surveillance of bladder cancer via urine analysis include voided urine cytology (VUC) and some diagnostic urinary protein biomarkers; however, due to the poor sensitivity of VUC and high false-positive rates of currently available protein assays, detection of bladder cancer via urinalysis remains a challenge. In the study presented here, a rapid, high-sensitivity technique was developed to profile the N-linked glycoprotein component in naturally micturated human urine specimens. Concanavalin A (Con A) affinity chromatography coupled to nanoflow liquid chromatography was utilized to separate the complex peptide mixture prior to a linear ion trap MS analysis. Of 186 proteins identified with high confidence by multiple analyses, 40% were secreted proteins, 18% membrane proteins, and 14% extracellular proteins. In this study, the presence of several proteins appeared to be associated with the presence of bladder cancer, including alpha-1B-glycoprotein that was detected in all tumor-bearing patient samples but in none of the samples obtained from non-tumor-bearing individuals. The combination of Con A affinity chromatography and nano-LC/MS/MS provides an initial investigation of N-glycoproteins in complex biological samples and facilitates the identification of potential biomarkers of bladder cancer in noninvasively obtained human urine.     

ELISA定量分析尿液BLCA-1/-4水平诊断膀胱癌的临床价值分析

目的:探讨膀胱癌患者尿液膀胱特异性核基质蛋白(bladder cancer specific nuclear matrix proteins,BLCA)-1/-4水平及其临床应用价值。方法:本研究纳入38例膀胱癌患者、40例正常对照组。采集受试者尿液样本,通过竞争性酶联免疫吸附法(enzymelinked immunosorbent assay,ELISA)定量分析尿液中BLCA-1和BLCA-4的水平,绘制受试者工作曲线,确定cut-off值。结果:膀胱癌患者尿液BLCA-1/-4水平均显著高于对照组(P0.001);当cut-off值取0.859 ng/mL时,BLCA-1诊断膀胱癌的敏感性和特异性分别为71%(27/38)、90%(36/40)。肌层浸润性膀胱癌患者尿液BLCA-1较非肌层浸润性膀胱癌患者水平显著升高(P0.001),但不同分级膀胱癌患者尿液BLCA-4水平无显著差异(P0.05)。高级别膀胱癌患者尿液BLCA-4水平较低级别膀胱癌患者显著升高(P0.05),但不同分期膀胱癌患者尿液BLCA-4水平无显著差异(P0.05)。以cut-off为0.859 ng/mL时,BLCA-1诊断膀胱癌的敏感性和特异性分别为71%(27/38)、90%(36/40)。以cut-off为0.620 ng/mL时,BLCA-4诊断膀胱癌的敏感性和特异性分别为76.3%(29/38)、97.5%(39/40)。联合检测尿液BLCA-1和BLCA-4诊断膀胱癌的敏感性和特异性分别为84.2%(32/38)和100%(40/40),准确度为0.923(77/78),阳性预测值为100%(32/32),阴性预测值为86.9%(40/46)以及YOUDEN指数分别为0.842。结论:膀胱癌患者尿液BLCA-1和BLCA-4水平显著升高,且敏感性和特异性均较高。联合检测尿液BLCA-1和BLCA-4较单一检测用于诊断膀胱癌的临床应用价值更高。     

Tumor markers (CEA, TPA and CA 19-9) in urine of bladder cancer patients

This study was carried out to evaluate the usefulness of determining urinary levels of carcinoembryogenic antigen (CEA), tissue-polypeptide antigen (TPA), and gastro-intestinal cancer antigen (Ca19-9) in addition to the usual diagnostic procedures for bladder cancer. Sixty-seven patients with transitional bladder cancer, 40 healthy controls and 20 patients with inflammatory diseases of the urinary tract were considered. All urine samples were obtained from patients with intact renal function and no urinary tract infection. TPA and Ca19-9 urinary levels in patients with G3 bladder tumors were significantly higher than in those with lower graded neoplasms. The sensitivity, specificity, and predictive value of a positive (PV+) or negative (PV-) test and the diagnostic accuracy were also evaluated. Ca19-9 was the best urinary marker for bladder cancer (sensitivity 71.6%, specificity 91.6%, PV+ 90.5%, PV- 74.3%, diagnostic accuracy 81%).     

The biochemical value of urinary metalloproteinases 3 and 9 in diagnosis and prognosis of bladder cancer in Egypt

Background

Matrix metalloproteinases (MMPs) have long been associated with cancer-cell invasion and metastasis. Few studies are available that describe this association with bladder cancer either related or unrelated to schistosoma infection.Evaluating the urinary levels of MMP3 and MMP9 as diagnostic and prognostic biomarkers in different stages of schistosomal and non schistosomal bladder cancer was the aim of the present study.Urine samples were collected from 70 patients with schistosomal and non schistosomal bladder cancer at early and advanced stages and also from12 healthy volunteers as controls. Urinary levels of MMP-3 and MMP-9 was measured by ELISA technique. Sensitivity and specificity of both markers were determined.

Results

Urinary levels of both MMP-3 and MMP-9 were significantly elevated in all bladder cancer patients compared with controls. MMP-3 started to elevate in early stages of schistosomal bladder cancer ( 0.173 ng/ml) and non-schistosomal bladder cancer patients (0.308 ng/ml) compared to control (0.016 ng/ml) and remained elevated in advanced stages (0.166, 0.235 ng/ml) of both types of bladder cancer patients. In contrast, MMP-9 showed a significant elevation in advanced stages only of both schistosomal and non schistosomal bladder cancer patients (10.33, 21.22 ng/ml) compared to control (0.409 ng/ml) and this elevation of both markers was much higher in non schistosomal bladder cancer. Both Metalloproteinases were specific for the diagnosis of the disease but MMP-3 was more sensitive and this sensitivity was evident in the early stage (84.85% for MMP3, 27.28% for MMP9).

Conclusions

MMP3 may be the recommended urinary metalloproteinases as early diagnostic biomarker in the early stages of both types of bladder cancer although both MMP9 and MMP3 can be used in the diagnosis of advanced stages. Further studies are required on large number of urine samples to confirm these results.     

miR-126 在膀胱癌患者尿液中的表达及临床意义

目的:探讨miR-126在膀胱癌患者尿液中的表达与临床病理特征的关系,评估miR-126的肿瘤标志物诊断价值。方法:收集48例初发膀胱尿路上皮癌患者与32例健康对照者晨尿,提取尿液总RNA,通过实时荧光定量PCR技术检测各样本中的miR-126的表达水平,并经受试者工作曲线(ROC)分析其诊断价值。结果:膀胱癌患者尿液中的miR-126表达水平相对健康对照组明显上调(P0.01),其表达水平在不同病理级别之间存在显著差异(P均0.05),且低级别组表达水平略高于高级别组,与肿瘤大小、数目以及淋巴转移也有一定的相关性(P0.05),而与患者的年龄、性别、TNM分期等均无相关性(P0.05)。通过ROC曲线分析尿液中miR-126诊断膀胱肿瘤的曲线下面积(AUC)为0.861,当最佳切点定在7.475时,miR-126诊断膀胱肿瘤的敏感性和特异性分别为75.0%、81.2%。结论:膀胱癌患者尿液中miR-126的表达差异能够反映病情进展程度,其表达水平对膀胱肿瘤的早期诊断及病情评估具有一定的价值。     

Optical sensory arrays for the detection of urinary bladder cancer‐related volatile organic compounds

Non‐invasive detection of urinary bladder cancer remains a significant challenge. Urinary volatile organic compounds (VOCs) are a promising alternative to cell‐based biomarkers. Herein, we demonstrate a novel diagnosis system based on an optic fluorescence sensor array for detecting urinary bladder cancer VOCs biomarkers. This study describes a fluorescence‐based VOCs sensor array detecting system in detail. The choice of VOCs for the initial part was based on an extensive systematic search of the literature and then followed up using urinary samples from patients with urinary bladder transitional cell carcinoma. Canonical discriminant analysis and partial least squares discriminant analysis (PLS‐DA) were employed and correctly detected 31/48 urinary bladder cancer VOC biomarkers and achieved an overall 77.75% sensitivity and 93.25% specificity by PLS‐DA modelling. All five urine samples from bladder cancer patients, and five healthy controls were successfully identified with the same sensor arrays. Overall, the experiments in this study describe a real‐time platform for non‐invasive bladder cancer diagnosis using fluorescence‐based gas‐sensor arrays. Pure VOCs and urine samples from the patients proved such a system to be promising; however, further research is required using a larger population sample.      

Non-Proteasomal Urine Activity in Bladder Cancer

Bladder cancer (BC) is the sixth common cancer in the world, characterized by high recurrent rate and poor prognosis. In most cases is asymptomatic and it can take years until symptoms develop. What is more, diagnosed patients need regular re-examinations which are invasive and expensive. Here, we used chromogenic substrates for the qualitative determination of specific activity of urine enzymes in healthy and bladder cancer patients. The peptide ABZ-Met-Lys-Val-Trp-ANB-NH₂ appears at low absorbance at 410 nm. During the hydrolysis, a free ANB-NH₂ is released which has a maximum absorbance at 410 nm. Using the peptide, we identified proteolytic activity in the majority of urine samples collected from patients with diagnosed bladder cancer, while the proteolytic activity in urine samples from healthy volunteers was not detected.     

尿液蛋白质组在膀胱癌临床诊治中的应用

膀胱癌是一种常见的泌尿系统疾病,尿细胞学检查与膀胱镜检查是膀胱癌的主要临床诊断手段,但尿细胞学检查敏感性较差,膀胱镜检查为侵入性检查,易给病人带来强烈的不适感;且膀胱癌具有易复发的特点,大部分患者必须面临频繁的检查,临床亟需发展舒适、准确的检查手段.尿液存储是膀胱的主要生理作用,尿液可以直接接触肿瘤实体,肿瘤分泌的一些蛋白质分子极可能进入尿液中,并且患者尿液样本便于足量多次收集.同时,蛋白质组技术以及尿液蛋白质组研究的快速发展,为我们利用尿液研究膀胱癌提供了便利的途径.本文系统总结了尿液蛋白质组研究的主要技术手段,重点关注膀胱癌尿液蛋白质组研究趋势和应用方向,以期为利用尿液蛋白质组研究膀胱癌提供助力.     

Simultaneous determination of urinary CEA, ferritin and TPA in Egyptian bladder cancer patients.

Urinary carcinoembryonic antigen (CEA), ferritin (Fer) and tissue polypeptide antigen (TPA) were determined in 328 cases (106 with bladder cancer, 152 with non-malignant urinary tract disease and 70 healthy controls). CEA was determined by the kit supplied by Roche Diagnostica (CEA EIA Doumab 60), ferritin by the Tandem-E Fer kit supplied by Hybritech and TPA by the Prolifigen TPA-IRMA kit supplied by Sangtec Medical. The results of this work revealed that combined determination of urine CEA and Fer, CEA and TPA or Fer and TPA showed higher sensitivity than determination of the individual markers. There was no significant difference between combined and individual marker determination with respect to false positivity in non-malignant urinary tract diseases. At 97% specificity, the sensitivities of urine CEA, Fer and TPA were 82.1%, 71.7% and 90.6%, respectively, while combined urine CEA & Fer, CEA & TPA and Fer & TPA showed sensitivities of 92.5%, 99.1% and 98.1%, respectively. When the specificity was related to the entire non-cancer group (patients with benign urinary tract diseases and normal controls), some reduction in the sensitivities of the combined markers was noted compared to the normal group only. In conclusion, combined determination of urine markers is superior to determination of individual markers in the diagnosis of bladder cancer.     

Detection of bladder cancer using proteomic profiling of urine sediments

We used protein expression profiles to develop a classification rule for the detection and prognostic assessment of bladder cancer in voided urine samples. Using the Ciphergen PBS II ProteinChip Reader, we analyzed the protein profiles of 18 pairs of samples of bladder tumor and adjacent urothelium tissue, a training set of 85 voided urine samples (32 controls and 53 bladder cancer), and a blinded testing set of 68 voided urine samples (33 controls and 35 bladder cancer). Using t-tests, we identified 473 peaks showing significant differential expression across different categories of paired bladder tumor and adjacent urothelial samples compared to normal urothelium. Then the intensities of those 473 peaks were examined in a training set of voided urine samples. Using this approach, we identified 41 protein peaks that were differentially expressed in both sets of samples. The expression pattern of the 41 protein peaks was used to classify the voided urine samples as malignant or benign. This approach yielded a sensitivity and specificity of 59% and 90%, respectively, on the training set and 80% and 100%, respectively, on the testing set. The proteomic classification rule performed with similar accuracy in low- and high-grade bladder carcinomas. In addition, we used hierarchical clustering with all 473 protein peaks on 65 benign voided urine samples, 88 samples from patients with clinically evident bladder cancer, and 127 samples from patients with a history of bladder cancer to classify the samples into Cluster A or B. The tumors in Cluster B were characterized by clinically aggressive behavior with significantly shorter metastasis-free and disease-specific survival.     

应用蛋白质组学筛选宫颈癌患者尿液中的肿瘤标志物

通过比较健康女性和宫颈癌患者的尿蛋白质组,发现并分析差异表达蛋白,从中筛选潜在的宫颈癌的标志物。研究对象由43名宫颈癌患者（CC）和47名健康女性（HW）组成。用超速离心法沉淀尿蛋白,再用一维凝胶电泳（SDS-PAGE）与液相色谱-质谱联用技术（LC-MS/MS）鉴定尿液中的蛋白质,蛋白质定量采用无标定量。比较患者尿蛋白质组、健康对照的尿蛋白质组和宫颈癌组织蛋白质组,有1910个蛋白质是患者和健康对照共有的尿蛋白,这其中有746个蛋白质也存在于宫颈癌组织蛋白质组。在这746个蛋白质中找到84个上调蛋白和82下调蛋白。通过生物信息学分析发现牛皮癣素（S100A7）和癌胚抗原相关细胞黏附分子8（CEACAM8）是宫颈癌尿液样本独有蛋白质。在验证组的70例样本中,双盲法测试S100A7、CEACAM8以及两者联合诊断宫颈癌的敏感性能达到73%、87%、93%。结果提示,宫颈癌患者的尿蛋白质组与健康女性的尿蛋白质组不同,并且S100A7和CEACAM8可以作为宫颈癌潜在的肿瘤标志物。     

Bladder Cancer Biomarker Discovery Using Global Metabolomic Profiling of Urine

Bladder cancer (BCa) is a common malignancy worldwide and has a high probability of recurrence after initial diagnosis and treatment. As a result, recurrent surveillance, primarily involving repeated cystoscopies, is a critical component of post diagnosis patient management. Since cystoscopy is invasive, expensive and a possible deterrent to patient compliance with regular follow-up screening, new non-invasive technologies to aid in the detection of recurrent and/or primary bladder cancer are strongly needed. In this study, mass spectrometry based metabolomics was employed to identify biochemical signatures in human urine that differentiate bladder cancer from non-cancer controls. Over 1000 distinct compounds were measured including 587 named compounds of known chemical identity. Initial biomarker identification was conducted using a 332 subject sample set of retrospective urine samples (cohort 1), which included 66 BCa positive samples. A set of 25 candidate biomarkers was selected based on statistical significance, fold difference and metabolic pathway coverage. The 25 candidate biomarkers were tested against an independent urine sample set (cohort 2) using random forest analysis, with palmitoyl sphingomyelin, lactate, adenosine and succinate providing the strongest predictive power for differentiating cohort 2 cancer from non-cancer urines. Cohort 2 metabolite profiling revealed additional metabolites, including arachidonate, that were higher in cohort 2 cancer vs. non-cancer controls, but were below quantitation limits in the cohort 1 profiling. Metabolites related to lipid metabolism may be especially interesting biomarkers. The results suggest that urine metabolites may provide a much needed non-invasive adjunct diagnostic to cystoscopy for detection of bladder cancer and recurrent disease management.     

LC-MS-based serum metabolic profiling for genitourinary cancer classification and cancer type-specific biomarker discovery

Bladder cancer (BC) and kidney cancer (KC) are the first two commonly occurring genitourinary cancers in China. In this study, a comprehensive LC-MS-based method, which utilizes both reversed phase liquid chromatography (RPLC) and hydrophilic interaction chromatography (HILIC) separations, has been carried out in conjunction with multivariate data analysis to discriminate the global serum profiles of BC, KC, and noncancer controls. An independent test set consisting of different patients has been used to objectively evaluate the predictive ability of the analysis platform. Excellent sensitivity and specificity have been achieved in detection of KC and BC. The results suggest that serum metabolic profiling could be used for different types of genitourinary cancer diagnosis. Furthermore, cancer type-specific biomarkers were found through a critical selection criterion. As a result, eicosatrienol, azaprostanoic acid, docosatrienol, retinol, and 14'-apo-beta-carotenal were found as specific biomarkers for BC; and PE(P-16:0e/0:0), glycerophosphorylcholine, ganglioside GM3 (d18:1/22:1), C17 sphinganine, and SM(d18:0/16:1(9Z)) were found as specific biomarkers for KC. Receiver operating characteristic (ROC) analysis was used for the preliminary evaluation of the biomarkers. These biomarkers have great potential to be used in the clinical diagnosis after further rigorous assessment.