Detection of tumours of the urinary tract in voided urine

Patients with non-muscle-invasive bladder cancer are treated by transurethral resection. About 60–70% of these patients will develop recurrences and in 11% of these cases progression to a muscle-invasive tumour occurs. Surveillance of patients by cystoscopy is therefore carried out every 3–4 months in the first 2years and yearly thereafter. Several biomarkers have been developed that potentially can detect recurrent bladder cancer in voided urine samples and may present an alternative for the invasive cystoscopy procedure. Recently, van Rhijn reviewed the performance of several of these biomarkers regarding detection of recurrent disease in patients under surveillance. In general, sensitivities were much lower when only patients under surveillance were taken into account than when the patient cohorts included patients with primary disease or patients with high-grade tumours. In this article recent new data on those markers that displayed a sensitivity and specificity of at least 70% as mentioned in the review by van Rhijn are reviewed. The literature selected was limited to those papers in which the performance of makers was assayed only on urine samples of patients under surveillance. The markers with sensitivity and specificity over 70% that were selected from the previous study are Lewis X, NMP22, microsatellite analysis (MA), CYFRA 21.1, cytokeratin 20 and the UroVysion fluorescence in situ hybridization (FISH) test. Recent new developments such as the use of FGFR3 mutation analysis and methylation detection are also discussed. In conclusion, tests such as the UroVysion FISH test and MA are able to detect most concomitant recurrences and to predict recurrent disease. In general, lesions that are missed are pTa and low grade. With MA several upper tract recurrences were identified that were missed by cystoscopy. The value of the most promising urine tests needs to be established in longitudinal studies and exclusively on patients under surveillance for recurrent disease. A longitudinal setting allows subsequent urine samples to be tested and this increases sensitivity because a negative test outcome sometimes occurs between positive ones. Stratification of patients according to the genetic status of their primary tumours and smoking habits should be investigated. Decision models should be developed that recommend at which points in time cystoscopy or urine testing should be performed.

[1]  Ewout W Steyerberg,et al.  Microsatellite analysis of voided-urine samples for surveillance of low-grade non-muscle-invasive urothelial carcinoma: feasibility and clinical utility in a prospective multicenter study (Cost-Effectiveness of Follow-Up of Urinary Bladder Cancer trial [CEFUB]). , 2009, European urology.

[2]  F. Liedberg,et al.  The value of the UroVysion assay for surveillance of non-muscle-invasive bladder cancer. , 2008, European urology.

[3]  E. Steyerberg,et al.  Patients’ perceived burden of cystoscopic and urinary surveillance of bladder cancer: a randomized comparison , 2008, BJU international.

[4]  H. Moch,et al.  Improved detection of bladder carcinoma cells in voided urine by standardized microsatellite analysis , 2007, International journal of cancer.

[5]  J. Witjes,et al.  UroVysion compared with cytology and quantitative cytology in the surveillance of non-muscle-invasive bladder cancer. , 2007, European urology.

[6]  J. García Rodríguez,et al.  Urinary CYFRA 21.1 is not a useful marker for the detection of recurrences in the follow-up of superficial bladder cancer. , 2007, European urology.

[7]  R. Datar,et al.  The role of deoxyribonucleic acid methylation in development, diagnosis, and prognosis of bladder cancer. , 2007, Urologic oncology.

[8]  H. Herr,et al.  Use of urinary biomarkers for bladder cancer surveillance: patient perspectives. , 2007, The Journal of urology.

[9]  R. Tubbs,et al.  Reflex UroVysion testing of bladder cancer surveillance patients with equivocal or negative urine cytology: a prospective study with focus on the natural history of anticipatory positive findings. , 2007, American journal of clinical pathology.

[10]  M. Knowles Tumor suppressor loci in bladder cancer. , 2007, Frontiers in bioscience : a journal and virtual library.

[11]  Ian Eardley,et al.  Urinary biomarker profiling in transitional cell carcinoma , 2006, International journal of cancer.

[12]  C. Roehrborn,et al.  Variability in the performance of nuclear matrix protein 22 for the detection of bladder cancer. , 2006, The Journal of urology.

[13]  D. Klumpp,et al.  Uronate peaks and urinary hyaluronic acid levels correlate with interstitial cystitis severity. , 2006, The Journal of urology.

[14]  S. Goodman,et al.  Quantitation of promoter methylation of multiple genes in urine DNA and bladder cancer detection. , 2006, Journal of the National Cancer Institute.

[15]  V. Boddi,et al.  Multiplex polymerase chain reaction for microsatellite analysis of urine sediment cells: a rapid and inexpensive method for diagnosing and monitoring superficial transitional bladder cell carcinoma. , 2006, The Journal of urology.

[16]  Y. Lotan,et al.  Soluble Fas—A promising novel urinary marker for the detection of recurrent superficial bladder cancer , 2006, Cancer.

[17]  J Alfred Witjes,et al.  Predicting recurrence and progression in individual patients with stage Ta T1 bladder cancer using EORTC risk tables: a combined analysis of 2596 patients from seven EORTC trials. , 2006, European urology.

[18]  S. Cross,et al.  Methylational urinalysis: a prospective study of bladder cancer patients and age stratified benign controls , 2006, Oncogene.

[19]  M. Wirth,et al.  Detection of Bladder Cancer Using a Point-of-Care Proteomic Assay , 2006 .

[20]  T. Ratliff Urine markers for bladder cancer surveillance: a systematic review. , 2005, The Journal of urology.

[21]  E. Zwarthoff,et al.  A Simple and Fast Method for the Simultaneous Detection of Nine Fibroblast Growth Factor Receptor 3 Mutations in Bladder Cancer and Voided Urine , 2005, Clinical Cancer Research.

[22]  D. Driesch,et al.  ProteinChip technology reveals distinctive protein expression profiles in the urine of bladder cancer patients. , 2005, European urology.

[23]  S. Kassim,et al.  Detection of bladder carcinoma by combined testing of urine for hyaluronidase and cytokeratin 20 RNAs , 2005, Cancer.

[24]  Ming Xu,et al.  Using tree analysis pattern and SELDI-TOF-MS to discriminate transitional cell carcinoma of the bladder cancer from noncancer patients. , 2005, European urology.

[25]  J. Ferlay,et al.  Global Cancer Statistics, 2002 , 2005, CA: a cancer journal for clinicians.

[26]  O John Semmes,et al.  Protein profiling of urine in the diagnosis of bladder cancer , 2005, Nature Clinical Practice Urology.

[27]  P. Laird Cancer epigenetics. , 2005, Human molecular genetics.

[28]  U. Michl,et al.  Immunocyt and the HA-HAase urine tests for the detection of bladder cancer: a side-by-side comparison. , 2004, European urology.

[29]  M. Guan,et al.  Tree analysis of mass spectral urine profiles discriminates transitional cell carcinoma of the bladder from noncancer patient. , 2004, Clinical biochemistry.

[30]  A. Sagalowsky,et al.  Risk stratification for bladder tumor recurrence, stage and grade by urinary nuclear matrix protein 22 and cytology. , 2004, European urology.

[31]  S. Ishikawa,et al.  Usefulness of urinary NMP22 to detect tumor recurrence of superficial bladder cancer after transurethral resection , 2003, International Journal of Clinical Oncology.

[32]  K. Rieger-Christ,et al.  Identification of fibroblast growth factor receptor 3 mutations in urine sediment DNA samples complements cytology in bladder tumor detection , 2003, Cancer.

[33]  T. H. van der Kwast,et al.  Molecular grading of urothelial cell carcinoma with fibroblast growth factor receptor 3 and MIB-1 is superior to pathologic grade for the prediction of clinical outcome. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[34]  Colin B Begg,et al.  Adherence to surveillance among patients with superficial bladder cancer. , 2003, Journal of the National Cancer Institute.

[35]  T. H. van der Kwast,et al.  Surveillance with microsatellite analysis of urine in bladder cancer patients treated by radiotherapy. , 2003, European urology.

[36]  C. Abbou,et al.  Frequent FGFR3 mutations in papillary non-invasive bladder (pTa) tumors. , 2001, The American journal of pathology.

[37]  G. Wright,et al.  Development of a novel proteomic approach for the detection of transitional cell carcinoma of the bladder in urine. , 2001, The American journal of pathology.

[38]  L. Kiemeney,et al.  Patient opinion of urinary tests versus flexible urethrocystoscopy in follow-up examination for superficial bladder cancer: a utility analysis. , 2000, Urology.

[39]  Y Z Almallah,et al.  Urinary tract infection and patient satisfaction after flexible cystoscopy and urodynamic evaluation. , 2000, Urology.

[40]  M. Wright,et al.  Surveillance for bladder cancer: the management of 4.8 million people , 2000, BJU international.

[41]  N. Block,et al.  HA-HAase urine test. A sensitive and specific method for detecting bladder cancer and evaluating its grade. , 2000, The Urologic clinics of North America.

[42]  C. Öbek,et al.  Urinary hyaluronic acid and hyaluronidase: markers for bladder cancer detection and evaluation of grade. , 2000, The Journal of urology.

[43]  D. Chopin,et al.  Frequent activating mutations of FGFR3 in human bladder and cervix carcinomas , 1999, Nature Genetics.

[44]  A. Jemal,et al.  Global cancer statistics , 2011, CA: a cancer journal for clinicians.

[45]  R. Beart,et al.  Methylation of the 5' CpG island of the p16/CDKN2 tumor suppressor gene in normal and transformed human tissues correlates with gene silencing. , 1995, Cancer research.

[46]  L. Kiemeney,et al.  The clinical epidemiology of superficial bladder cancer. Dutch South-East Cooperative Urological Group. , 1993, British Journal of Cancer.