Literature DB >> 34084118

Comparison of the clinical usefulness of different urinary tests for the initial detection of bladder cancer: a systematic review.

Alessandro Sciarra1, Giovanni Di Lascio1, Francesco Del Giudice1, Pier Paolo Leoncini2, Stefano Salciccia1, Alessandro Gentilucci1, Angelo Porreca3, Benjamin I Chung4, Giovanni Di Pierro1, Gian Maria Busetto1, Ettore De Berardinis1, Martina Maggi1.   

Abstract

OBJECTIVES: The standard initial approach in patients with hematuria or other symptoms suggestive of bladder cancer (BC) is a combination of cystoscopy and urine cytology (UC); however, UC has low sensitivity particularly in low-grade tumors. The aim of the present review was to critically analyze and compare results in the literature of promising molecular urinary tests for the initial diagnosis of BC.
METHODS: We searched in the Medline and Cochrane Library databases for literature from January 2009 to January 2019, following the PRISMAguidelines.
RESULTS: In terms of sensitivity, ImmunoCyt showed the highest mean and median value, higher than UC. All tests analyses showed higher mean and median sensitivity when compared with UC. In terms of specificity, only UroVysion and Microsatellite analyses showed mean and median values similar to those of UC, whereas for all other tests, the specificity was lower than UC. It is evident that the sensitivity of UC is particularly low in low grade BC. Urinary tests mainly had improved sensitivity when compared to UC, and ImmunoCyt and UroVysion had the highest improvement in low grade tumors.
CONCLUSIONS: Most of the proposed molecular markers were able to improve the sensitivity with similar or lower specificity when compared to UC. However, variability of results among the different studies was strong. Thus, as of now, none of these markers presented evidences so as to be accepted by international guidelines for diagnosis of BC.
Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc.

Entities:  

Keywords:  Bladder cancer; Cytology; Hematuria; MCM5; Urinary markers

Year:  2021        PMID: 34084118      PMCID: PMC8137038          DOI: 10.1097/CU9.0000000000000012

Source DB:  PubMed          Journal:  Curr Urol        ISSN: 1661-7649


Introduction

Bladder cancer (BC) represents the 4th most common neoplasia in men with a significant morbidity and mortality. The standard initial approach in patients with hematuria or other symptoms suggestive of BC is a combination of cystoscopy and urine cytology (UC). Cystoscopy is an invasive method whereas UC exhibits low sensitivity in detecting BC.34 UC has high sensitivity in high-grade tumors (84%), but low sensitivity in low-grade tumors (16%). A positive UC can indicate a urothelial tumor in the urinary tract; however, a negative cytology does not exclude the presence of a tumor. Cytological interpretation is user-dependent, and evaluation can be hampered by low cellular yield, urinary tract infections, and stones. However, in experienced hands the specificity exceeds 90%. Several non-invasive molecular tumor tests have been developed to improve the sensitivity of UC. None of these markers have been accepted for diagnosis or follow-up in routine practice or clinical guidelines. The following conclusions have been drawn by EAU guidelines regarding the existing tests: Sensitivity is usually higher at the cost of lower specificity, compared to UC. Benign conditions may influence the results of many urinary marker tests. The wide range in performance of the markers and low reproducibility may be explained by patient selection and the complicated laboratory methods required. UroVysion fluorescent in situ hybridization (FISH), ImmunoCyt/uCyt, NMP-22, BTA, and microsatellite analysis are interesting tests. However, a variable range of sensitivity and specificity in different clinical trials is reported in the literature. Different mechanisms of action are used by these tests. NMP-22 is a nuclear matrix protein involved in the proper distribution of chromatin during replication. It is a quantitative ELISA test using 2 antibodies.78 Microsatellite analysis is carried out by polymerase chain reaction using DNA primers on polymorphic short tandem DNA repeats in the genome. ImmunoCyt is an immunocytological test using fluorescence that combines 3 monoclonal antibodies to detect tumor-associated cellular antigens. The UroVysion test is a multitarget multicolour FISH assay, taking advantage of the high occurrence of chromosomal abnormalities in BC.1112 The BTA stat quantitative assay detects the human complement factor H-related protein and the complement factor H by immunochromatography.1314 MCM5 is a minichromosome maintenance protein examined by immunofluorometric assay using monoclonal antibodies. There is still a need for defining a useful urine biomarker that may help in the initial diagnosis and follow-up of BC, thus replacing UC.

Materials and methods

Objective

The aim of the present review was to critically analyze and compare results in the literature with promising molecular urinary tests for the initial diagnosis of BC. We limited our analysis to urine tests such as UroVysion, NMP-22, ImmunoCyt/uCyt, the BTA stat test, microsatellite analysis, and the MCM5 test. We compared sensitivity, specificity, and performance of these tests and that of UC in detecting BC.

Search strategy

We searched in the Medline and Cochrane Library databases (primary fields: bladder neoplasm AND initial diagnosis AND urinary test OR UroVysion OR NMP-22 OR BTA OR microsatellite analysis OR ImmunoCyt/uCyt OR the MCM5 test). Our search was performed without language restriction in the literature from January 2000 to August 2019 following PRISMA guidelines (Fig. 1). Original and review articles were included and critically evaluated. Additional references were identified from reference lists of these articles. We did not include abstracts and reports from meetings.
Figure 1

PRISMA flow diagram.

PRISMA flow diagram.

Selection of the studies and inclusion criteria

Entry into the analysis was restricted to data collected from original studies on clinical trials including subjects with hematuria or other symptoms suggestive of an initial diagnosis of BC and verified by cystoscopy, transurethral biopsy, or resection of the bladder. There were 2 authors (G.D.L. and F.D.G.) who independently screened the titles and abstracts of all articles using predefined inclusion criteria. The full-text articles were independently examined by 3 authors (G.D.L., M.M., and F.D.G.) to determine whether or not they met the inclusion criteria. Then, 3 authors (G.D.L., M.M., and F.D.G.) extracted data from the selected articles. Final inclusion was determined by all investigators’ evaluation discussion. The studies selected for inclusion met the following criteria: (1) analysis for initial diagnosis of BC; (2) UroVysion, NMP-22, BTA, microsatellite analysis, ImmunoCyt/uCyt, MCM5 tests compared with UC; (3) cystoscopy or transurethral biopsy or resection of the bladder methods used to confirm results and diagnosis of BC; and (4) results expressed as sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Articles were excluded if: (1) multiple reports were published on the same population; (2) data provided were insufficient for the outcomes; or (3) confirmation from at least cystoscopy was not reported. Risk of bias for all included reports was evaluated using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool for diagnostic accuracy studies.

Results

Search results

The database searches initially yielded 91 journal article references. Of these 20 were subsequently removed due to either duplication or a failure to meet the inclusion criteria. Full-text articles were then re-evaluated and critically analyzed for the remaining 71 journal references. Of these, 36 did not meet the inclusion criteria. The remaining 35 studies were considered for our critical review (Fig. 1) (Table 1).
Table 1

Main data from the 35 studies considered in the review.

Author, year, locationStudy designSample size, nMedian participant age, ySampling methodBiomarkerConfirmatory testStatistical results, %
Stober et al., [17] 2002, UKMonocenter prospective35370 (62–78)Voided urine– MCM5 – Cytology– Cystoscopy – BiopsyMCM5 – Sens: 87 – Spec: 87 – NPV: 96 – PPV: 64Cytology – Sens: 48 – Spec: 97 – NPV: 88 – PPV: 82
Kelly et al., [18] 2012, UKMonocenter prospective blinded randomized167763 (49–73)Voided urine– MCM5 – NMP-22 – Cytology– Cystoscopy – Bladder resectionMCM5 – Sens: 69 – Spec: 69 – NPV: 93 – PPV: 26NMP-22 – Sens: 53 – Spec: 84 – NPV: 92 – PPV: 36Cytology – Sens: 9 – Spec: 88 – NPV: 87 – PPV: 10
Brems-Eskildsen et al., [19] 2010, DenmarkMonocenter prospective11771Voided urine– MCM5 – Cytology– Cstoscopy – BiopsyMCM5 – Sens: 62.5 – Spec: 65.9 – NPV: 60 – PPV: 68.2Cytology – Sens: 41.7 – Spec: 87.9 – NPV: 59.3 – PPV: 78.1
Virk et al., [32] 2017, USAMonocenter retrospective37767Voided, catheterized, bladder borbotage washing– UroVysion– Cystoscopy – Bladder resection/biopsyUroVysion – Sens: 44.6 – Spec: 81.8 – NPV: 80.3 – PPV: 47.2
Schomler et al., [33] 2010, USAMonocenter prospective10865.7 (30–99) Voided/borbotage– UroVysion– Cystoscopy – Bladder resectionUroVysion – Sens: 57.1 – Spec: 100 – NPV: 25 – PPV: 100
Lotan et al., [34] 2008, USAMonocenter prospective5065 (14.4)+ Voided/ borbotage– UroVysion– CystoscopyUroVysion – Sens: 77.8 – Spec: 100 – NPV: 60 – PPV: 100
Kehinde et al., [38] 2011, KuwaitMonocenter Prospective blinded randomized4353 (16–77) Voided urine– UroVysion – NMP-22 – Cytology– Cystoscopy – BiopsyUroVysion – Sens: 80 – Spec: 48 – NPV: 71.2 – PPV: 61NMP-22 – Sens: 82 – Spec: 66 – NPV: 78.8 – PPV: 71.3Cytology – Sens: 28 – Spec: 95 – NPV: 84.1 – PPV: 84.9
Gopalakrishna et al., [35] 2017, USAMonocenter retrospective102266 (56–75)Voided urine– UroVysion – Cytology– CystoscopyUroVysion – Sens: 37 – Spec: 84 – NPV: NS – PPV: NSCytology – Sens: 63 – Spec: 41 – NPV: NS – PPV: NS
Dimashkien et al., [36] 2013, USAMonocenter retrospective652NSVoided, catheterized and bladder washing– UroVysion – Cytology– CystoscopyUroVysion – Sens: 60 – Spec: 93.4 – NPV: 97.5 – PPV: 35.5Cytology – Sens: 57.8 – Spec: 88.6 – NPV: 97.2 – PPV: 23.4
Daniely et al., [39] 2005, IsraelMonocenter prospective4172.4 (12.2)Voided urine– UroVysion – Cytology– Cystoscopy – Bladder resection/biopsyUroVysion – Sens: 100 – Spec: 100 – NPV: NS – PPV: NSCytology – Sens: 61.9 – Spec: 100 – NPV: NS – PPV: NS
Yafi et al., [5] 2015, CanadaMonocenter prospective10969 (33–96)§ Voided, washing, catheterized– NMP-22 – BTA stat – ImmunoCyt – Cytology– Cystoscopy – BiopsyNMP-22 – Sens: 58 – Spec: 85 – NPV: 39 – PPV: 92BTA stat – Sens: 61 – Spec: 78 – NPV: 38 – PPV: 89ImmunoCyt – Sens: 62 – Spec: 79 – NPV: 37 – PPV: 91Cytology – Sens: 48 – Spec: 86 – NPV: 34 – PPV: 90
Toma et al., [20] 2004, GermanyMonocenter prospective126NSVoided and bladder washing– ImmunoCyt – BTA stat – NMP-22 – UroVysion – Cytology– CystoscopyImmunoCyt – Sens: 78.3 – Spec: 73.8 – NPV: 85.5 – PPV: 63.2BTA stat – Sens: 66.6 –Spec: 78.2 – NPV: 75.4 – PPV: 71.4NMP-22 – Sens: 68.5 – Spec: 65.2 – NPV: 77.9 – PPV: 53.6UroVysion – Sens: 68.8 – Spec: 89.1 – NPV: 77.8 – PPV: 83.8Cytology – Sens 84.6 – Spec: 80 – NPV: 88 – PPV: 75
Soyuer et al., [40] 2009, TurkeyMonocenter prospective9066 (46–80) Voided– ImmunoCyt – Cytology– Cystoscopy – Bladder resection/biopsyImmunoCyt – Sens: 83.3 – Spec: 86.1 – NPV: 79.5 – PPV: 90Cytology – Sens: 75.9 – Spec: 66.7 – NPV: 88.9 – PPV: 77.3
Deininger et al., [21] 2017, GermanyMonocenter retrospective44467 (18–93)§ Midstream voided, catheter– ImmunoCyt– Cystoscopy – Bladder resectionImmunoCyt – Sens: 86.8 – Spec: 78.7 – NPV: 97 – PPV: 42
Comploj et al., [22] 2013, ItalyMonocenter prospective221769.5 (15–99) Voided urine– ImmunoCyt – Cytology– Cystoscopy – Bladder resection/biopsyImmunoCyt – Sens: 68.1 – Spec: 72.3 – NPV: 95.2 – PPV: 22Cytology – Sens: 34.5 – Spec: 97.9 – NPV: 92.9 – PPV: 65.2
Todenhofer et al., [23] 2013, GermanyMonocenter prospective80867 (20–92)§ Voided urine– NMP-22 – UroVysion – ImmunoCyt – Cytology– Cystoscopy – Bladder resection/biopsyNMP-22 – Sens: 84.4 – Spec: 41.3 – NPV: 94.1 – PPV: 19.2UroVysion – Sens: 71.3 – Spec: 86.3 – NPV: 94.8 – PPV: 46.3ImmunoCyt – Sens: 73.9 – Spec: 76.6 – NPV: 94.7 – PPV: 34.4Cytology – Sens: 67.8 – Spec: 87.5 – NPV: 94.3 – PPV: 47.3
Sankhwar et al., [41] 2013, IndiaMonocenter retrospective133158.7 (14.3)# (18–96) Voided urine– NMP-22 – Cytology– Cystoscopy – Bladder resectionNMP-22 – Sens: 55.7 – Spec: 85.7 – NPV: 96.8 – PPV: 19.7Cytology – Sens: 15.8 – Spec: 99.2 – NPV: 94.9 – PPV: 94.9
Ritter et al., [24] 2014, GermanyMonocenter prospective19870 (20–90)§ Midstream voided urine– NMP-22 – Cytology– Cystoscopy – Bladder resectionNMP-22 – Sens: 16.4 – Spec: 95.3 – NPV: 70.5 – PPV: 62.5Cytology – Sens: 51.7 – Spec: 78.1 – NPV: 78.1 – PPV: 51.7
Jeong et al., [42] 2012, KoreaMonocenter prospective25057 (50–65)Midstream voided urine– NMP-22– Cystoscopy – Bladder resection/biopsyNMP-22 – Sens: 84.9 – Spec: 82.8 – NPV: NS – PPV: NS
Dogan et al., [43] 2013, TurkeyMonocenter prospective8760 (21–98) Voided urine– NMP-22 – Cytology– CystoscopyNMP-22 – Sens: 70 – Spec: 80 – NPV: 81 – PPV: 68Cytology – Sens: 27 – Spec: 96 – NPV: 68 – PPV: 82
Grossman et al., [8] 2005, USAMonocenter retrospective133158.7 (14.3)# (18–96) Voided urine– NMP-22 – Cytology– Cystoscopy – Bladder resection/biopsyNMP-22 – Sens: 55.7 – Spec: 85.7 – NPV: 96.8 – PPV: 19.7Cytology – Sens: 15.8 – Spec: 99.2 – NPV: 94.9 – PPV: 54.6
Breen et al., [48] 2015, New ZealandMulticenter retrospective939NSVoided urine– NMP-22 – UroVysion – Cytology– CystoscopyNMP-22 – Sens: 44.9 – Spec: 89 – NPV: NS – PPV: NSUroVysion – Sens: 40 – Spec: 87.3 – NPV: NS – PPV: NSCytology – Sens: 45.5 – Spec: 96.3 – NPV: NS – PPV: NS
Bangma et al., [25] 2013, The NetherlandsProspective multicenter40950–75 Voided urine– NMP-22 – Microsatellite analysis– CystoscopyNMP-22 – Sens: 25 – Spec: 96.6 – NPV: 99.2 – PPV: 7.1Microsatellite analysis – Sens: 50 – Spec: 91.9 – NPV: 99.4 – PPV: 6.1
Liang et al., [44] 2010, ChinaMonocenter prospective64NSVoided urine– Microsatellite analysis– Bladder resectionMicrosatellite analysis – Sens: 62.5 – Spec: n.s. – NPV: 100 – PPV: 62.5
Wild et al., [26] 2009, SwitzerlandMonocenter prospective119NSVoided urine– Microsatellite analysis – Cytology– Cystoscopy – BiopsyMicrosatellite analysis – Sens: 72.1 – Spec: 88.2 – NPV: 61.2 – PPV: 92.5Cytology – Sens: 88.2 – Spec: 79.4 – NPV: 77.1 – PPV: 89.6
Cha et al., [27] 2012, GermanyMulticenter prospective118265 (18–93)§ Midstream voided urine– ImmunoCyt – Cytology– Cystoscopy – BiopsyImmunoCyt – Sens: 82.4 – Spec: 86.6 – NPV: 95 – PPV: 61.6Cytology – Sens: 46.5 – Spec: 94.9 – NPV: 87.2 – PPV: 70.4
Friedrich et al., [28] 2002, GermanyMonocenter prospective115NSVoided, bladder washing– BAT stat – NMP-22– Cystoscopy – Bladder resection/biopsyBAT stat – Sens: 70.3 – Spec: 70.6 – NPV: 80.2 – PPV: 58.4NMP-22 – Sens: 68.5 – Spec: 65.2 – NPV: 77.9 – PPV: 53.6
Giannopoulos et al., [29] 2001, GreeceMonocenter prospective23466 (25–93) Voided urine– BAT stat – NMP-22– Cystoscopy – BiopsyBAT stat – Sens: 72.9 – Spec: 73.1 – NPV: 70.1 – PPV: 67.7NMP-22 – Sens: 63.5 – Spec: 75 – NPV: 66.9 – PPV: 72.1
Gutierrez Banos et al., [30] 2001, SpainMonocenter prospective15067.8 (11.3)# (20–91) Voided urine– BAT stat – NMP-22 – Cytology– Cystoscopy – Bladder resectionBAT stat – Sens: 72.4 – Spec: 89.1 – NPV: 75.9 – PPV: 87.3NMP-22 – Sens: 76.3 – Spec: 90.5 – NPV: 78.8 – PPV: 89.2Cytology – Sens: 69.7 – Spec: 93.2 – NPV: 75 – PPV: 91.4
Halling et al., [37] 2002, USAMonocenter prospective26571Voided urine– BAT stat – UroVysion– Cystoscopy – Bladder resection/biopsyBAT stat – Sens: 78 – Spec: 74 – NPV: NS – PPV: NSUroVysion – Sens: 81 – Spec: 96 – NPV: NS – PPV: NS
O'Sullivan et al., [49] 2012, New ZealandMulticenter prospective48569 (59–77)Midstream voided urine– NMP-22 – Cytology– Cystoscopy – BiopsyNMP-22 – Sens: 50 – Spec: 88 – NPV: NS – PPV: NSCytology – Sens: 56.1 – Spec: 94.5 – NPV: NS – PPV: NS
Song et al., [45] 2010, South KoreaMonocenter prospective60262 Voided urine– UroVysion – Cytology– Cystoscopy – Bladder resectionUroVysion – Sens: 53.5 – Spec: 94.9 – NPV: NS – PPV: NSCytology – Sens: 23.9 – Spec: 99 – NPV: NS – PPV: NS
Smrkolj et al., [31] 2011, SloveniaMonocenter prospective10868.3 (9.9)Voided urine– NMP-22 – Cytology– Cystoscopy – Bladder resectionNMP-22 – Sens: 45.2 – Spec: 75 – NPV: NS – PPV: NSCytology – Sens: 37 – Spec: 100 – NPV: NS – PPV: NS
Hwang et al., [46] 2011, KoreaMonocenter prospective42465 Voided urine– NMP-22 – Cytology– Cystoscopy – Bladder resectionNMP-22 – Sens: 40.6 – Spec: 96.3 – NPV: NS – PPV: NSCytology – Sens: 40.6 – Spec: 99.7 – NPV: NS – PPV: NS
Sagnak et al., [47] 2011, TurkeyMonocenter prospective16430.8 (6.4)Voided urine– NMP-22 – Cytology– Cystoscopy – BiopsyNMP-22 – Sens: 100 – Spec: 85.2 – NPV: 100 – PPV: 7.7Cytology – Sens: 0 – Spec: 96.9 – NPV: 98.7 – PPV: 0

IQR = interquartile range; NS = not specified; Sens = sensitivity; Spec = specificity.

+ = Median (SD); § = median (range); ∗ = mean (range); # = mean (SD); ¶ = range; ∞ = mean.

Main data from the 35 studies considered in the review. IQR = interquartile range; NS = not specified; Sens = sensitivity; Spec = specificity. + = Median (SD); § = median (range); ∗ = mean (range); # = mean (SD); ¶ = range; ∞ = mean. Quality of studies: of the 35 studies entered into the review, 15 were conducted in Europe,171819202122232425262728293031 8 in America,58323334353637 10 in Asia,38394041424344454647 and 2 in Oceania.4849 Of the 35 studies, 2 were randomized studies,1838 7 were retrospective mono- or multi-center,8213235364148 and 28 were prospective mono- or multi-center.5171819202223242526272829303133343738394042434445464749 Each study comparatively considered one or more recognized biomarkers for BC diagnosis, and compared them with one or more confirmatory tests such as cystoscopy, transurethral bladder biopsy, or resection (Table 1). Risk of bias for all included reports was evaluated using the QUADAS-2 tool for diagnostic accuracy studies (fig. S1, supplementary material). The major bias within the studies focused upon “patient selection” and “index test.” In general, 21 out of the 35 studies were of upper middle quality.

Study sample size, mean age, and inclusion/exclusion criteria

In the 35 studies, the sample size of cases strongly varied from 41 to 2217 cases analyzed (total sample 16,691 cases). The range of mean age across the studies varied from 30.8 to 72.4 years. No study had as exclusion criteria data such as age, race, or other registries. All studies had as inclusion criteria hematuria or other symptoms requiring initial investigation for BC.

Sampling methods

All 35 studies used voided urine as the main method for sample collection. Some studies used in association others collecting methods. In particular, 3 trials used bladder barbotage,323334 4 catheter,5213236 and 5 bladder washing.520283236

Biomarker used

Most of the analyzed studies considered one or more recognized biomarker for the initial diagnosis of BC. MCM5 was used in 3 studies on 2147 cases171819; UroVysion (uFISH) in 12 studies on 5033 cases202332333435363738394548; NMP-22 in 19 studies on 8988 cases 581820232425282930313841424346474849; microsatellite analysis in 3 studies on 592 cases252644; BTA stat in 6 studies on 999 cases52028293037; and ImmunoCyt/uCyt in 7 studies on 4976 cases.5202122232740 Twenty-five studies also included UC as a diagnostic tool in comparison with the new tests (14,375 cases) (Table 1).581718192022232426273031353638394041434546474849

Comfirmatory test

In all analyzed studies, at least cystoscopy was used as the confirmatory test to verify biomarker results. In addition to cystoscopy, 28 studies also performed transurethral bladder biopsy or resection.581718192122232426272829303132333738394041424445464749

Diagnostic accuracy analysis of the different biomarkers

Table 2 summarizes sensitivity, specificity, PPV, and NPV of each test analyzed in the studies in terms of prediction for initial diagnosis of BC. Results were analyzed across all grades and risk categories of BC.
Table 2

Performance of different urinary biomarkers to predict BC.

Biomarker n° of studies (n° of pts) Cytology n =25 (14,375) MCM-5 n =3 (2147) Microsatellite n =3 (592) UroVysion n =12 (5033) BTA stat n =6 (999) ImmunoCyt n =7 (4976) NMP-22 n =19 (8988)
Sensitivity, %
 Mean ± SD45.5 ± 23.172.8 ± 12.761.5 ± 11.164.3 ± 19.070.2 ± 5.876.4 ± 8.960.1 ± 21.0
 Median46.569.062.564.471.478.358.0
 Range9.0–88.262.5–87.050.0–72.137.0–100.061.0–78.062.0–86.816.4–100.0
Specificity, %
 Mean ± SD89.7 ± 13.274.0 ± 11.490.1 ± 2.688.4 ± 14.277.2 ± 6.579.0 ± 5.680.6 ± 13.6
 Median94.969.090.191.376.078.785.0
 Range41.0–10065.9–87.088.2–91.948.0–100.070.6–89.172.3–86.641.3–96.6
NPV, %
 Mean ± SD82.6 ± 16.183.0 ± 20.086.9 ± 22.272.4 ± 24.667.9 ± 17.183.4 ± 21.482.1 ± 16.6
 Median87.693.099.477.875.494.779.9
 Range34.0–98.760–96.061.2–100.025.0–97.538.0–80.237.0–97.039.0–100.0
PPV, %
 Mean ± SD64.9 ± 28.552.7 ± 23.253.7 ± 43.967.7 ± 26.874.8 ± 13.157.7 ± 26.748.0 ± 29.5
 Median76.264.062.561.071.461.653.6
 Range10.0–94.926–68.26.1–92.535.5–100.058.4–89.022.0–91.07.1–92.0

pts = patients; SD = standard deviation.

Performance of different urinary biomarkers to predict BC. pts = patients; SD = standard deviation. In the 25 studies that analyzed UC in comparison with the new tests, sensitivity, specificity, PPV, and NPV ranges were 9.0%–88.2%, 41.0%–100%, 10.0%–94.9%, and 34.0%–98.7%, respectively. Values for MCM5 and microsatellites analysis were only reported in 3 studies. All 6 urinary tests analyzed, showed a strong variability of results in terms of diagnostic accuracy among studies (Table 2) (Fig. 2).
Figure 2

Sensitivity (A) and specificity (B) of different urinary biomarkers in predicting BC.

Sensitivity (A) and specificity (B) of different urinary biomarkers in predicting BC. Microsatellite analysis, UroVysion, and NMP-22 tests showed a higher mean and median specificity than sensitivity whereas for all the other tests sensitivity and specificity showed similar mean and median values. In terms of sensitivity, ImmunoCyt showed the highest mean and median values, higher than UC. All 6 tests showed higher mean and median sensitivity when compared with UC. In terms of specificity, only UroVysion and microsatellite analysis showed mean and median values similar to those of UC, whereas for all other tests, specificity was lower than UC. Mean and median values of false negatives where particularly low using microsatellite, ImmunoCyt, and MCM5 tests (NPV).

Sensitivity in relation to BC grade

Table 3 shows sensitivity, specificity, NPV, and PPV for each urinary test in relation to the BC histological grade (Table 3) (Fig. 3). No data were found for microsatellite and MCM5 tests.
Table 3

Sensitivity of different urinary biomarkers to predict BC by histological grade.

Biomarker n° of studies (n° of pts) Cytology n =14 (7585) UroVysion n =6 (1997) BTA stat n =4 (584) ImmunoCyt n =5 (3350) NMP-22 n =11 (4867)
G1
 Mean ± SD24.4 ± 22.266.5 ± 34.242.9 ± 5.767.3 ± 15.548.0 ± 25.7
 Median16.061.542.969.248.2
 Range0–67.720.0–100.036–50.047.0–85.75.1–100.0
G2
 Mean ± SD41.9 ± 25.575.2 ± 23.161.9 ± 17.469.7 ± 13.354.8 ± 26.5
 Median36.163.069.175.053.3
 Range16.0–87.051.4–100.036.0–73.347–79.95.1–100.0
G3
 Mean ± SD69.6 ± 19.295.5 ± 7.389.7 ± 2.085.2 ± 5.076.9 ± 16.2
 Median74.0100.089.783.376.9
 Range37.5–100.083.3–100.087.5–91.779.0–91.336.4–100.0

pts = patients; SD = standard deviation.

Figure 3

Sensitivity of different urinary biomarkers in predicting BC according to grade.

Sensitivity of different urinary biomarkers to predict BC by histological grade. pts = patients; SD = standard deviation. Sensitivity of different urinary biomarkers in predicting BC according to grade. It is evident that sensitivity of UC is particularly low in low grade BC. The urinary tests mainly improved sensitivity compared to UC, and ImmunoCyt and UroVysion had the highest improvement in low grade tumors (ImmunoCyt G1 vs. UC G1: mean difference 42.9, 95%CI 3.67–82.13, p = 0.0186; UroVysion G1 vs. UC G1: mean difference 42.2, 95%CI 2.83–81.39, p = 0.0229).

Critical analysis and conclusion

A number of noninvasive tests to detect BC have been developed. It is interesting to note that none of these urinary markers have a better sensitivity than cytology but have similar or mainly lower specificity (Table 2) (Fig. 2). These markers can be divided into 2 categories based on whether urine (soluble urine markers: BTA stat, NMP-22) or exfoliated cells (cell-associated markers: microsatellite, ImmunoCyt, UroVysion, MCM5) are used for the assay. Considering the high rates of variability of results in terms of sensitivity, specificity, NPV, and PPV for each test among the different studies, it is not possible to define a real advantage of one test over the others. A direct comparison among at least 3 different tests in the same study and on the same population was performed in only 3 studies and different tests were compared each time.52023 The sensitivity and specificity of these urinary tests as predictors for an initial diagnosis of BC varied from 16.4–100% to 41.0–100%, respectively. As reported by guidelines, this variability of results was in part related to patient selection and complicated laboratory methods. The performance of these tests on the basis of BC grades was not clearly reported by most of the studies. Tetu et al. underlined that whereas for BTA stat, NMP-22, and UroVysion tests, the improvement in sensitivity when compared to UC was lower for low grade tumors, ImmunoCyt was able to improve sensitivity for low or high grade BC. In our analysis, Table 3 and Figure 3 show that either ImmunoCyt (p = 0.0186) or UroVysion (p = 0.0229) strongly improved sensitivity in low grade tumors when compared with UC. In conclusion, the low sensitivity of UC drives interest in new urinary markers for the initial diagnosis of BC that can substitute or be used in combination with UC. Most of the proposed molecular markers are able to improve sensitivity with similar or lower specificity when compared to UC. As of now, none of these markers showed evidences so as to be accepted by international guidelines for the diagnosis of BC.

Acknowledgments

None.

Statement of ethics

This review has been carried out according to the internationally-accepted standards for research practice and reporting.

Conflict of interest statement

The authors declare that they have no financial conflict of interest with regard to the content of this report.

Funding source

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author contributions

All authors listed gave a substantive contribution to this study and to this original article. A. Sciarra: conceptualization, writing - original draft preparation; G. Di Lascio: conceptualization, formal analysis and investigation; F. Del Giudice: formal analysis and investigation; P.P. Leoncini: statistical analysis; S. Salciccia: methodology;A. Gentilucci: methodology;A. Porreca: formal analysis and investigation; B.I. Chung: conceptualization; G. Di Pierro: writing - review and editing, G.M. Busetto: formal analysis and investigation; E. De Berardinis: writing - review and editing, M. Maggi: writing - original draft preparation, formal analysis and investigation.
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