A Systematic Review of the Diagnostic and Prognostic Value of Urinary Protein Biomarkers in Urothelial Bladder Cancer
Abstract
For over 80 years, cystoscopy has remained the gold-standard for detecting tumours of the urinary bladder. Since bladder tumours have a tendency to recur and progress, many patients are subjected to repeated cystoscopies during long-term surveillance, with the procedure being both unpleasant for the patient and expensive for healthcare providers. The identification and validation of bladder tumour specific molecular markers in urine could enable tumour detection and reduce reliance on cystoscopy, and numerous classes of biomarkers have been studied. Proteins represent the most intensively studied class of biomolecule in this setting.
As an aid to researchers searching for better urinary biomarkers, we report a comprehensive systematic review of the literature and a searchable database of proteins that have been investigated to date. Our objective was to classify these proteins as: 1) those with robustly characterised sensitivity and specificity for bladder cancer detection; 2) those that show potential but further investigation is required; 3) those unlikely to warrant further investigation; and 4) those investigated as prognostic markers. This work should help to prioritise certain biomarkers for rigorous validation, whilst preventing wasted effort on proteins that have shown no association whatsoever with the disease, or only modest biomarker performance despite large-scale efforts at validation.
INTRODUCTION
Non-muscle-invasive bladder cancer (NMIBC: stages pTa/pT1/pTis) is characterised by a high incidence of recurrence and a risk of progression to muscle-invasive disease (MIBC: stages pT2+) [1]. Long-term surveillance thus remains the cornerstone of long-term management, and cystoscopy has represented the gold standard modality for over 80 years. However, the cystoscopic approach is both burdensome for patients and expensive for healthcare providers, and so there has been a decades-long search for non-invasive urinary biomarkers that can match or even improve upon the sensitivity and specificity of cystoscopy. However, current guidelines do not recommend the use of urinary biomarkers in the management of bladder cancer patients [2]. Despite this, urine cytology is often used as an adjunct to cystoscopy and whilst visual detection of cancer cells in urine is a very specific test with high sensitivity for high-grade bladder cancer, sensitivity for low-grade bladder cancer is only 4–31% [3]. Thus any new biomarkers might be considered useful if they outperform cytology i.e show very high specificity and high sensitivity for both low and high-grade bladder cancer.
Many classes of biomolecule have been investigated as urinary biomarkers but the majority of studies have analysed proteins with hundreds of published reports where specific proteins have been measured in urine as potential indicators of bladder cancer. In this review we focus entirely on soluble proteins (those that can be measured in the supernatant rather than the pellet following centrifugation). Most proteins can be measured reliably using inexpensive immunoassays. These may be rapid and qualitative, enabling point-of-care testing, or laboratory based quantitative immunoassays but in either case, multiplex testing for a panel of protein biomarkers (if such a panel was defined) should be relatively straightforward to implement.
The proteins measured in biomarker studies will have been selected based on prior knowledge of the biology of bladder cancer or the biology of the particular protein or based on data from hypothesis generating approaches such as gene expression profiling and proteomic analyses of bladder cancer tissue, cell lines or indeed urine itself. In most cases, the measurements will have been made using a validated antibody-based assay such as an ELISA. The reliability of such assays is dependent on the specificity of the antibodies used; certain types of assay which rely on the specificity of a single antibody may be more susceptible to interference than ‘sandwich assays’ (those that rely on the specificity of a pair of antibodies). However, in many bladder cancer biomarker studies, patient selection is of more concern than the assay used. That is to say, “do the patients (and the non-cancer subjects) being used in the study represent the patient population where the biomarker test would be applied in the real world?”. Ideally in studies of biomarkers for first presentation diagnosis both “cases” and “controls” should be patients undergoing investigation for suspected bladder cancer e.g. patients from haematuria clinics. For surveillance markers both cases and controls should be patients undergoing surveillance for disease recurrence. However, in many biomarker studies we see bias introduced by enrichment for high-grade and advanced disease which is likely to increase apparent sensitivity (% cases correctly identified) and inclusion of healthy volunteers which is likely to increase apparent specificity (% controls correctly identified), or the use of patients with large-primary tumours when the goal is to detect small recurrent tumours [4].
Another major pitfall in the measurement of urinary biomarkers for bladder cancer is haematuria [5]: haematuria is a symptom and sign of bladder cancer but is not the biological cause of bladder cancer. Thus, any protein present in blood may appear to act as a biomarker in case-control studies where haematuria is not matched, but will not be bladder cancer-specific.
Reviews of urinary biomarkers for bladder cancer (e.g. [6, 7]) tend to focus on the biomarkers that have been most extensively validated for detecting disease, especially those with FDA approval (NMP22, BTA, UroVysion, ImmuoCyt), but also others such as MMP9 which have been extensively measured but fall short of clinical utility, and perhaps a handful of ‘promising candidates’. In the current review we attempt to comprehensively review all proteins which have been investigated as urinary biomarkers for bladder cancer. Our main rationale for doing so is to generate a useful resource for researchers that may indicate the potential (or otherwise) of a particular urinary protein under investigation. A secondary aim of is to collate and assess the literature on prognostic urinary biomarkers, an area which is often neglected but which could be incorporated into risk stratification algorithms and so aid patient management.
The biomarker studies reviewed are heterogeneous in terms of the populations studied. The non-bladder cancer control cohorts vary from healthy controls to non-malignant urological disorders to non-bladder urological malignancies and patients undergoing surveillance for bladder cancer recurrence with no detectable disease (or a mix of all four). The bladder cancer cases vary in stage and grade (which we have partially controlled for with our selection criteria, see below) but are also either primary or recurrent tumours or a mix of both (or unspecified) in different studies. Thus, to be inclusive, we have used the term “detection biomarker” and present sensitivity for bladder cancer versus non-bladder cancer throughout this review rather than attempting to distinguish between proposed diagnostic and surveillance roles for biomarkers in individual studies.
MATERIALS AND METHODS
Systematic review methods were employed to find primary studies that reported test results on measured soluble protein biomarkers in urine. The search was conducted in Medline via the Pubmed search platform on the 25th August 2015 using the following search terms: ((“urinary bladder neoplasms”[MeSH Terms] OR (“urinary”[All Fields] AND “bladder”[All Fields] AND “neoplasms”[All Fields]) OR “urinary bladder neoplasms”[All Fields] OR (“bladder”[All Fields] AND “cancer”[All Fields]) OR “bladder cancer”[All Fields]) AND (“urine”[Subheading] OR “urine”[All Fields] OR “urine”[MeSH Terms])) AND (“biological markers”[MeSH Terms] OR (“biological”[All Fields] AND “markers”[All Fields]) OR “biological markers”[All Fields] OR “biomarker”[All Fields]). Studies retrieved from the PubMed search were assessed for eligibility by two people (JD & JG) using the title and abstract or where necessary the full text. Disagreements regarding inclusion were resolved by discussion and moderation by the rest of the team. Papers were included if they reported on tests that measured soluble protein biomarkers in the urine of bladder cancer patients (any stage). We excluded papers that did not measure protein biomarkers in urine, measured only enzyme activities, or that analysed urinary cell pellets. Prognostic biomarker studies were manually identified from the full set of included publications.
The included papers underwent a quality filter step to separate the better designed and reported studies from those with poor reporting or design. Studies were categorized into “unequivocal” or “equivocal” categories based on whether they met the following selection criteria:
• ≥20 cancer patients
• ≥20 controls or more
• Specificity and sensitivity presented
• ≥25% pTa bladder cancer
• ≥15% grade 1 bladder cancer
The thresholds for the percentage of pTa and grade 1 tumours are well below the percentages for incident bladder cancer in the UK [8] but enable identification of studies with bias towards reporting protein biomarkers associated with high-grade/stage bladder cancer. Studies which were not available to view or purchase online were also excluded. The proteins reported in unequivocal studies were further categorised into those in 3 or more unequivocal studies (validated detection biomarkers), those with a combined sensitivity and specificity (sensitivity+specificity/2) ≥80% (possible biomarkers), and those with a combined sensitivity and specificity ≤80% (unlikely biomarkers). The value of 80% for combined specificity and sensitivity was selected on the basis that it is close to the performance of cystoscopy, the gold standard to which biomarkers are usually referenced (which is the only method of detection of bladder cancer recommended by NICE [2]). The reported sensitivity and specificity of white light cystoscopy vary greatly but a recent meta-analysis arrived at values of 85 and 87% [9]. The full search and categorisation strategy is shown in Fig. 1.
RESULTS
Search result overview
Our initial literature search identified 1310 publications. From these, we identified 350 reports in which one or more proteins were measured in the urine of bladder cancer patients. Of the 350 reports, only 49 met our criteria to be considered as “unequivocal”. The remaining 301 studies either had too few cases or controls, did not report a high enough proportion of pTa and/or grade 1 tumours, did not provide values for sensitivity and specificity, or were not readily accessible. In total, we found evidence that 161 proteins have been investigated as urinary biomarkers for bladder cancer (Table 1 and Supplemental Information Table S1).
Validated detection biomarkers
Of the 161 proteins investigated, 27 were investigated in one or more “unequivocal studies” (Table 1). Only 4 proteins appear in 3 or more of the unequivocal studies and thus met our criteria as “validated detection biomarkers”. These are the well-known biomarkers: nuclear matrix protein 22 (NMP22), bladder tumour antigen (BTA), and the cytokeratin-based tests urinary bladder carcinoma antigen (UBC) and Cyfra 21-1. NMP22, BTA and UBC are commercially available as both quantitative and point-of-care assays. NMP22 (gene symbol: NUMA1) is a nuclear matrix protein overexpressed in bladder cancer cells and has been measured in 25 unequivocal studies with a weighted mean sensitivity and specificity of 61.8% and 80.3% (4528 cancer patients vs. 7728 non-cancer). The antigen recognised in the BTA assay is reported as complement factor H related protein which is released from bladder cancer cells [10]: the weighted mean sensitivity and specificity for using BTA to detect bladder cancer across 23 unequivocal studies are 64.0% and 76.6%, respectively (2258 cancer patients v 2994 non-cancer). The UBC test measures soluble fragments of cytokeratins 8 and 18 and has been reported in 11 unequivocal studies with a mean sensitivity and specificity of 64.4% and 80.3% (753 cancer patients v 1072 non-cancer). The Cyfra 21-1 test measures soluble fragments of cytokeratin 19 and has been reported in 3 unequivocal studies with a mean sensitivity and specificity of 64.4% and 85.5%, respectively (293 cancer patients v 331 non-cancer).
The mean sensitivities and specificities for the 4 well validated biomarkers across multiple studies are all very similar, in accordance with studies performing side-by-side comparisons: the results of such studies vary as to which biomarker performs best but seldom find substantial differences between them [11–13]. All 4 validated biomarkers also show a similar dependence on stage and grade with high sensitivity for high-grade and muscle-invasive disease but lower sensitivity for low-grade disease. Based on data from those studies listed in Table 1 which present sensitivity for different grades of disease, the mean sensitivities for grade 1/grade 3 are 53.4% /77.4% for NMP22, 51.4% /87.5% for BTA, 48.5% /76.0% for UBC and 55.7% /91.9% for Cyfra 21-1. Thus, these markers do have higher sensitivity for low-grade disease than cytology (albeit with lower specificity) but fall short of cystoscopy in terms of both sensitivity and specificity [3, 9]. Whilst there may be some utility for these commercially-available biomarkers in the surveillance of HR-NMIBC (when index tumour grade and stage are known), they cannot be solely relied upon for the diagnosis of incident disease.
Possible biomarkers
There are 11 proteins that have been evaluated in an unequivocal study and have a combined sensitivity and specificity (sensitivity+specificity)/2) of greater than 80%. We have designated these as “possible biomarkers”. They are apolipoprotein A4, calprotectin, CD147, CEACAM1, clusterin, coronin-1A, DJ-1, fibronectin, reg-1, stathmin-1, and γ-synuclein. Several of these possible biomarkers are also supported by evidence from “equivocal studies”. Each protein is discussed briefly below. These are proteins that may merit further investigation: all require independent validation in appropriate patient cohorts.
The utility of urinary fibronectin for detecting bladder cancer reported in 2 unequivocal studies [14, 15] is supported by 9 “equivocal” studies: 5 of these studies present moderately high sensitivities and specificities with weighted means across the studies of 82.5% and 80.2%, respectively (390 cases and 520 controls) [16–20]. Although there is substantial evidence that increased urinary fibronectin is indicative of bladder cancer, Alias-Melgar [21] found that urinary fibronectin is increased in urolithiasis, and Eissa [17] reported that in side-by–side comparison NMP22 slightly outperforms fibronectin.
The utility of urinary clusterin is also reported by 2 unequivocal studies [22, 23] and 1 equivocal study [24] with the latter reporting a sensitivity of 73% but only 55% specificity. Clusterin is a multifunctional chaperone protein with alternatively spliced forms exhibiting different cellular locations and functions [25]. Hazzaa et al. [22] found increased clusterin gene expression in bladder cancer, particularly in invasive disease, and that high clusterin expression was associated with poor prognosis. Although clusterin is widely expressed and found in all body fluids, which may limit it’s specificity [26], measurement of individual splice variants rather than total clusterin levels might merit further research.
CEACAM1 (Carcinoembryonic antigen-related cell adhesion molecule 1, also known as CD66a) was reported as a novel urinary marker for bladder cancer by Tilki et al. [27]. In this study comparing 93 cases (72 NMIBC, 17 low-grade) with 82 controls (30 healthy subjects, 10 with benign disease and 42 with a history of bladder cancer but no evidence of disease) urinary CEACAM1 generated a sensitivity of 74% at 95% specificity. As with most urinary biomarkers sensitivity was higher for MIBC than NMIBC. It is not stated whether the tumours were incident or recurrent and subjects with diabetes were excluded from the study but CEACAM1 appears to merit further investigation. Tilki et al. [27] also reported that CEACAM1 immunostaining was detected on endothelial cells rather than cancer cells in bladder tumours. It has not been reported whether the urinary CEACAM1 is expressed as a soluble isoform (lacking the transmembrane domain) or if the ectodomain is shed by proteolytic cleavage.
Ebbing et al. [28] reported that urinary calprotectin (a heterodimer of S100A8 and S100A9 proteins with antimicrobial properties) can be used to detect bladder cancer with 80% sensitivity at 92% specificity in a study with 46 cases (38 NMIBC, 25 low-grade) and 40 healthy controls. The median calprotectin level was 10-fold higher in bladder cancer patients than healthy controls and less than 2-fold increased in patients with prostate and renal cancers (although their inclusion in the data analysis slightly decreased specificity). Calprotectin has been reported as a prognostic indicator in bladder cancer and to be upregulated both in tumours and sera [29, 30]. However, calprotectin is released by neutrophils during inflammation which may compromise its role as a tumour marker.
Two urinary proteins, stathmin-1 and CD147 make the “possible biomarkers” category on the basis of a study by Bhagirath et al. [31] analysing the urine of 30 bladder cancer cases (21 NMIBC, 13 low-grade) and 30 controls (15 healthy, 15 benign prostatic hyperplasia). Sensitivities and specificities were 90% and 87% for stathmin-1, respectively (also known as oncoprotein-18) and 97% and 100% for CD147, respectively (also known as basigin or EMMPRIN). Although a small single study, both stathmin-1 and CD147 are known cancer-related proteins and there are reports that overexpression of stathmin-1 [32] and CD147 [33] are associated with aggressive bladder cancer and a poor prognosis.
Another 4 possible biomarkers were reported in a study by Kumar et al. [34]: γ-synuclein (87.5% sensitivity at 90.0% specificity), DJ-1 (83.3% sensitivity at 100% specificity), apolipoprotein A4 (79.2% sensitivity at 100% specificity) and Coronin-1A (66.7% sensitivity at 100% specificity) based on 173 cases (110 NMIBC, 89 low-grade) and 212 controls (66 healthy, 91 other malignancy, 121 assorted chronic conditions). Various apolipoproteins have been reported as increased in the urine of bladder cancer patients [35–37]; however, being moderately abundant in plasma, their specificity is not assured and, in the case of apolipoprotein A4, Chen et al. [38] found no evidence of elevation in bladder cancer patients. γ-synuclein was also investigated by one equivocal study which reported only 40.2% sensitivity albeit at 96.5% specificity [39] (112 cancer and 230 controls). Although DJ-1 has been reported to be overexpressed in aggressive high-grade bladder cancer [40], no other urine studies have been published. We have performed a pilot study and found urinary DJ-1 to be significantly increased only in MIBC, disputing a high sensitivity for all stages and grades of bladder cancer (Ward, unpublished data). Coronin-1A is a cytoskeletal protein that has not been otherwise reported in bladder cancer. It seems likely that Kumar et al’s study [34] may have overestimated the performance of these 4 possible biomarkers.
Using proteomics, Orenes-Piñero et al. [41] identified a protein at increased levels in the urine of bladder cancer patients as Reg-1 (lithostathine-1-alpha). Immunohistochemistry showed Reg-1 overexpression in bladder tumours and measurement in 32 cases (16 NMIBC, 5 low-grade) and 48 controls (cystoscopy negative) gave 81% sensitivity at 81% specificity.
Unlikely biomarkers
Sixteen of the 27 proteins evaluated in unequivocal studies have a combined sensitivity and specificity of less than 80% (including the 4 validated detection biomarkers). As the diagnostic performance of these proteins is well below that achieved by flexible cystoscopy it is unlikely that any of these would find widespread clinical use as standalone biomarkers for detecting bladder cancer. Nonetheless, the evidence suggests that some cases of bladder cancer result in an increase in the urinary concentration of these proteins and consequently they may be diagnostically useful when used in combination with one another or other markers.
Equivocal biomarkers
We found that the majority of the biomarker studies we reviewed could not be classified as unequivocal. This is due to missing information (stage/grade/sensitivity/specificity) or due to a non-representative patient population which is likely to inflate the estimated sensitivity and specificity. Fifteen proteins that have not been investigated in an unequivocal study have been evaluated in at least 5 equivocal studies (Fig. 2), and some of the equivocal studies report high sensitivities and specificities. With the caveat that these “equivocal biomarkers” may not be robust in the clinical setting, we briefly discuss those reported in 5 or more studies below.
Urinary carcinoembryonic antigen (CEA) has been investigated in 28 equivocal studies. The weighted mean values for sensitivity and specificity are 54.0% and 90.5% respectively (814 cases and 578 controls) based on accessible studies reporting sensitivity and specificity [42–47]. Most of the CEA studies were published in the 1970s and 1980s (Fig. 3) and interest presumably waned due to the sensitivity being too low for clinical utility. However, as expected for an oncofetal antigen, specificity appears to be high and therefore urinary CEA could prove useful in the context of a multimarker panel.
The role of matrix metallopeptidase 9 (MMP9) as a urinary biomarker has been investigated in 16 equivocal studies with 8 presenting values for sensitivity and specificity [48–55]. The weighted mean values for sensitivity and specificity are 72.1% and 77.2%, respectively (based on 707 cases and 917 controls). MMP9 is biologically plausible as a biomarker for invasive bladder cancer and urinary levels are clearly elevated in many cases of bladder cancer; however, modest sensitivity and specificity (especially for low-grade disease) limit its usefulness.
Urinary vascular endothelial growth factor (VEGF) has been investigated in 13 equivocal studies with 6 presenting sensitivity and specificity data [48, 54, 56–59]. The weighted mean values for sensitivity and specificity are 71.4% and 78.1%, respectively (based on 509 cases and 389 controls).
Tissue polypeptide antigen (TPA, a complex of cytokeratins 8, 18 & 19) has been investigated in 10 equivocal studies with 3 presenting sensitivity and specificity data [46, 60, 61]. The weighted mean values for sensitivity and specificity are 84.1% and 96.6%, respectively (based on 277 cases and 311 controls). However, Stefanovic et al reported that TPA lacks diagnostic accuracy [62], and Carbin et al reported that TPA is only effective if 24 hour urine samples are analysed [63]. Additionally, although the averaged sensitivity/specificity appear higher than the averaged sensitivity/specificity for other cytokeratin based tests (UBC and Cyfra 21-1), in a direct comparison of TPA and Cyfra 21-1 Sanchez-Carbayo found TPA to be slightly inferior to Cyfra 21-1, indicating that the equivocal studies have overestimated the performance of TPA [61, 62].
Survivin has been investigated in 9 equivocal studies with 6 reporting sensitivity and specificity data [58, 64–68]. The weighted mean values for sensitivity and specificity are 69.4% and 88.3%, respectively (based on 437 cases and 313 controls).
Matrix metallopeptidase 2 (MMP2) has been investigated in 8 equivocal studies with 4 presenting sensitivity and specificity data [49, 52, 53, 69]. The weighted mean values for sensitivity and specificity are 68.2% and 88.8% (based on 345 cases and 681 controls).
A number of interleukins have been repeatedly investigated in the urine of bladder cancer patients. Interleukin-8 (IL-8) has been investigated in 10 equivocal studies with 4 presenting sensitivity and specificity data [54, 56, 70, 71]. The weighted mean values for sensitivity and specificity are 66.4% and 83.1%, respectively (based on 225 cases and 273 controls). Interleukins 2 and 6 (IL-2 and IL-6) have been measured in 5 and 7 equivocal studies respectively. However most of these studies focus on response to BCG treatment rather than bladder cancer detection [72]. With only one study [56] reporting sensitivity and specificity data for IL-6 (67% and 63%), and none for IL-2, there is no evidence that either is likely to be useful for detecting bladder cancer.
CA19-9 has been investigated as a urinary biomarker in 8 equivocal studies, but with only two reporting sensitivity and specificity (83.3% and 50.8% [73], and 71.6% and 91.6% [74], respectively). Strictly speaking, this is a glycan biomarker rather than a glycoprotein biomarker [75]. CA19-9 may be a useful biomarker for bladder cancer when interpreted with reference to secretor phenotype [76, 77].
BCLA-4 has been investigated as a urinary biomarker in 6 equivocal studies. BCLA-4 was first reported in 1996 as a spot in 2D-electrophoresis analyses of nuclear matrix extracts that was more intense in bladder cancer than normal urothelium [78]. The authors then partially sequenced the protein in the gel spot and generated antibodies to a synthetic peptide (EISQLNAG), despite the sequence not matching any known human protein sequences. The antibodies were used to generate immunoassays and BCLA-4 measured in the urine of 54 bladder cancer patients (predominantly high-grade) and 51 control subjects, generating a sensitivity of 96.4% at 100% specificity [79]. In 2004 the same group identified BCLA-4 as a member of the ETS transcription family [80] and then expanded their study to 70 cancer subjects and 147 controls (89% sensitivity and 95% specificity) [81]. However, both of these papers have now been retracted [82, 83]. Despite this, BCLA-4 has been widely reported as a ‘promising biomarker’ in previous reviews and a further study in China using antibodies raised against the EISQLNAG sequence reported very high sensitivity and specificity [84]. Thus, BCLA-4 has a chequered history and although BCLA-4 ELISAs appear to detect bladder cancer better than other urinary markers, BCLA-4 has neither gained regulatory approval or been widely adopted as a urinary biomarker for bladder cancer detection.
Apolipoproteins A1 (APOA1) and E (APOE) and have been investigated in 5 and 6 equivocal studies respectively. The 5 APOA1 papers are from 2 research groups with both reporting high sensitivity and specificity (89.2% and 84.6% [85–87], and 94.6% and 92.0% [38, 88], respectively). Apolipoproteins are abundant in plasma and hence urinary concentrations will be influenced by haematuria. The study by Chen et al. [88] included 13 control subjects with haematuria and their urinary APOA1 was slightly elevated; the authors concluded that urinary APOA1 might need to be interpreted with reference to haematuria. As a urinary biomarker, APOE appears less useful than APOA1 [36–38, 48].
We were unable to find any consistent evidence of high sensitivity or specificity for any of the remaining proteins mentioned in 5 unequivocal studies (ICAM-1, β-gonadotropin, E-cadherin, carbonic anyhdrase IX), although we note that carbonic anhydrase IX urinary mRNA has recently been reported as a potentially useful biomarker [89].
In summary, none of the biomarkers investigated in ≥5 equivocal studies has the sensitivity and specificity required to act as a standalone biomarker for detecting bladder cancer. Finally, in our search for unproven but possible biomarkers we manually searched the reports for the proteins presented in <5 equivocal studies for those the highest sensitivity and specificity. MMP3 and TIMP2 showed high sensitivity and specificity in studies carried out in Egypt [49, 51]. These results should be treated with caution as in Egypt many cases of bladder cancer are bilharzial SCC. Additionally, TIMP2 has been reported to have lower sensitivity and specificity in other studies. A small study by Gecks et al. [90] suggested that Tenascin-C can be used to detect recurrent bladder cancer with 91% sensitivity at 80% specificity. In a study using urine from 68 cases (mixed stage and grade), 68 healthy controls and 16 patients with cystitis Lorenzi et al. [91] reported that measuring the serine peptidase HTRA-1 gave 92.7% sensitivity and 95.6% specificity for bladder cancer detection. At the time of writing no further studies have corroborated (or refuted) the biomarker potential of HTRA1-1.
Prognostic urinary biomarkers
Urinary biomarkers have the potential to inform not only on the presence or absence of bladder cancer, but also to provide prognostic information. Such a biomarker would provide information on outcome and could guide choices between conservative and radical treatment regimens. The word ‘prognostic’ has been applied variably to urinary biomarkers. For example, high levels of biomarker post resection are often reported as a poor prognostic indicator, but are most likely just indicative of residual disease. A truly prognostic indicator should indicate outcome in patients with tumours; not versus those without tumours. The majority of urinary protein biomarkers considered in this review increase in concentration with both stage and grade of disease and could therefore be considered as prognostic indicators. However, very few studies have directly investigated the association between urinary biomarker levels at presentation and outcome, and even fewer have investigated whether urinary biomarkers can provide prognostic information over and above that provided by standard clinicopathological factors (Table 2). Indeed, at the time of writing, only BTA, CEA, MMP9, tenascin-C, cystatin-B and the soluble extracellular domains of EGFR and EpCAM have been reported as independent prognostic indicators (Table 2) and these data require independent validation. The two NMP22 prognostic studies listed in Table 2 confuse disease detection and prognosis, although further literature searching identified a large study by Shariat et al. [92] which found that including pre-treatment urinary NMP22 levels slightly improved the ability of nomograms to predict later recurrence.
Biology of urinary biomarkers
The proteins that have been shown to be increased in concentration in the urine of bladder cancer patients are highly diverse in terms of their biological activities, the pathways that they are involved with and their cellular compartmentalisation. They include, amongst others, proteases, lipid binding/transport proteins, cytoskeletal components and cytokines. The most significantly over represented biological processes include “regulation of cell migration”, “response to wounding”, “regulation of apoptosis” and “inflammatory response” [93]. Eight of the proteins are in the KEGG_PATHWAY “Pathways in Cancer” (survivin, E-cadherin, fibronectin, IL6, MMP2, MMP9, PDGFR and VEGF). Other proteins are less obviously mechanistically linked to cancer with Apo-A1, apo-A4, apoE, clusterin, fibrinogen, fibronectin, thrombin and α1-antitrypsin all classed as plasma proteins and with α1-antitrypsin, thrombin, IL6 and fibronectin also being classed as acute phase proteins. Over half of the proteins are bona fide secreted proteins, but there are also 7 cytoplasmic/cytoskeletal and 6 plasma membrane proteins and 2 nuclear proteins (NMP22 and EN2) (Fig. 4).
DISCUSSION
We have systematically reviewed the literature concerning urinary proteins as biomarkers for bladder cancer. We focussed solely on proteins which are measured in solution in urine, rather than proteins present in cancer cells in the cell pellet or DNA, RNA or metabolite biomarkers. Thus, all of the biomarkers discussed above can be measured by immunoassay in a single urine sample which may enable biomarker multiplexing and point-of-care testing in the future.
We found that the majority of urine biomarker studies use patient populations enriched for high-grade and high-stage disease which is likely to inflate estimates of sensitivity and specificity and/or do not provide sufficient information to be thoroughly evaluated. It is clear that the urinary concentrations of the vast majority of proteins investigated as biomarkers positively correlate with both stage and grade of disease. Thus, low stage and grade disease is not easily detected. As low and high-grade bladder cancer can be considered separate entities at the genomic level [94], it might be expected that different urinary biomarkers would be required to detect each. By definition, the cancer cells are still relatively normal, both genomically and phenotypically, in low-grade disease so that although some alterations in gene expression have been noted [95], the processes involved in releasing proteins into the urine may be essentially normal. With high-grade and invasive disease it is likely that many of these processes are unregulated such that proteins released directly from the cancer cells, as breakdown products from the extracellular matrix, as a result of inflammatory responses or plasma proteins all find their way into the urine. Thus, although high-grade bladder cancer is a heterogeneous disease, it is perhaps not surprising that many of the urinary proteins reviewed can detect high-grade and stage disease with high sensitivity. A panel of protein markers, carefully selected on the basis of close associations with the various molecular sub-types of bladder cancer might offer the way forward in facile non-invasive detection of bladder cancer.
Our review shows that the use of pre-treatment urinary biomarker levels for prognostication has been addressed in very few studies compared with disease detection. This may be due to the long-term follow up of patients required for such studies, the lack of a perceived need for such biomarkers or the fact that in patients with a confirmed tumour molecular markers can be measured directly in the tumour rather than in urine. It is however possible that processes which release proteins from tumours (secretion, leakage, shedding) and degradation of the surrounding tissues are important prognostic indicators and are more effectively measured in urine than in the tumour itself.
In accord with others, we find that the “validated detection markers” (NMP22, BTA, UBC, Cyfra 21-1) do not rival flexible cystoscopy in terms of sensitivity and specificity [96]. We also find that many other biomarkers with are often reported as “promising” are not genuinely promising as their sensitivity or specificity is too low, or the evidence supporting their utility is equivocal. Finally, we have highlighted a small number of proteins that might warrant further validation and hopefully be confirmed as clinically useful biomarkers.
There are several limitations related to the review methodology. Firstly we may have introduced publication bias as we couldn’t access all of the publications online, however, as most were published before the year 2000 we reasoned that if that particular biomarker was significant, then the publication trail would have continued beyond 2000. Secondly, the review may be skewed to more positive data due to publication bias present in the literature i.e. only positive results get published. Thirdly, as we only included studies which reported both sensitivity and specificity, we could have been affected by outcome reporting bias i.e. where studies report selected outcomes usually those that are positive [97]. Despite these limitations we believe this review presents a comprehensive summary of the literature and a searchable database of proteins that have been investigated to date (Table S1), which will aid researchers searching for better urinary biomarkers. We conclude that:
• The majority of urine biomarker studies contain bias or are insufficiently reported.
• The urinary concentrations of a large number of proteins are increased by the presence of bladder cancer, but most proteins are not increased in all cases and are not specific to bladder cancer.
• NMP22, BTA, UBC and Cyfra 21-1 are the only well-validated urinary protein biomarkers and their sensitivity and specificity are well below those of cystoscopy.
• Fibronectin, clusterin, CEACAM1, apolipoprotein A4, calprotectin, CD147, coronin-1A, DJ-1, reg-1, stathmin-1, and γ-synuclein may be considered as possible biomarkers.
• Biomarkers supported by multiple “equivocal” studies include CEA, MMP9, VEGF, TPA, survivin, CA19-9, APOA1 and BCLA-4. Of these, only BLCA-4 reportedly has high-sensitivity, but is mired in controversy.
• Biomarkers supported by a single “equivocal” report of high sensitivity and specificity include MMP3 and HTRA.
None of the urinary protein biomarkers investigated to date can be used for accurate non-invasive detection of bladder cancer. Current efforts to combine protein biomarkers to improve test accuracy also fail to reach clinically useful sensitivity and specificity [48, 98]. DNA/RNA-based markers may supersede protein biomarkers in the near future [99–103]; however, with currently-available technology, these are more complex, expensive and time-consuming to measure than protein markers with little potential for point-of-care testing in the immediate future. Notwiths tanding, we hope that the increasing understanding of bladder cancer at the molecular-genomic level may enable selection of the correct cancer-specific proteins (or variants of proteins) to underlie a clinically applicable biomarker panel.
CONFLICT OF INTEREST
The authors have no conflict of interest to report.
Appendices
The supplementary material is available in the electronic version of this article: http://dx.doi.org/10.3233/BLC-160054.
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Figures and Tables
Fig.1
Search strategy outline and results.
Fig.2
Numbers of publications for the most commonly investigated urinary protein biomarkers. Papers providing measurement data included, reviews excluded.
Fig.3
The history and lifecycle of bladder cancer biomarkers. The number of publications for each biomarker with >10 publications in total is shown for each half-decade from 1971. CEA peaks in the 1970s and TPA in the 1980s. BTA and cyfra 21-1 peak in 1996–2000 whilst fibronectin, NMP22 and UBC peak in 2001–2005. The rate of publication of all of these biomarkers are now declining whereas MMP9 and VEGF continue to rise.
Fig.4
Cellular compartmentalisation of protein biomarkers reported≥1 unequivocal or≥5 unequivocal biomarker studies.
Table 1
Summary of unequivocal biomarker studies. For proteins with multiple studies, sensitivity and specificity are presented as means weighted according to sample size in each study. #indicates potentially several genes. NMP22, BTA and UBC data include studies using quantitative and point-of-care versions of the assay
| Protein name | Gene symbol | Sensitivity (%) | Specificity (%) | Cancers (n) | Controls (n) | Refs |
| Alpha-1-anti-trypsin | SERPINA1 | 70.6 | 71.8 | 206 | 102 | [104] |
| Angiogenin | ANG | 66 | 75 | 50 | 20 | [23] |
| Apolipoprotein A4 | APOA4 | 79.2 | 100 | 110 | 66 | [34] |
| Autocrine motility factor receptor | AMFR | 84 | 75 | 45 | 62 | [105] |
| BIGH3 | TGFBI | 70 | 80 | 30 | 30 | [31] |
| Bladder tumour antigen (BTA) | BTA# | 64 | 76.6 | 2258 | 2994 | [11, 12, 55, 106–125] |
| Calprotectin | S100A8 &S100A9 | 80.4 | 92.5 | 46 | 135 | [28] |
| Cathepsin B | CTSB | 55.7 | 56.1 | 122 | 107 | [126] |
| Cathepsin L | CTSL | 71.3 | 74.8 | 122 | 107 | [126] |
| CCL18 | CCL18 | 70.4 | 67.7 | 206 | 102 | [104] |
| CD147 (EMMPRIN) | BSG | 96.7 | 100 | 30 | 30 | [31] |
| CEACAM1 | CEACAM1 | 74 | 95 | 93 | 82 | [27] |
| Clusterin, | CLU | 76.3 | 86.5 | 168 | 151 | [22, 23] |
| Coronin-1A | CORO1A | 66.7 | 100 | 110 | 66 | [34] |
| CYFRA21-1 | KRT19 | 64.4 | 85.5 | 293 | 331 | [127–129] |
| DJ-1 | PARK7 | 83.3 | 100 | 110 | 66 | [34] |
| EN2 | EN2 | 82 | 75 | 466 | 52 | [130] |
| FDP | FGA &FGB | 52 | 91 | 57 | 139 | [107] |
| Fibronectin | FN1 | 89 | 85.6 | 126 | 41 | [14, 15] |
| NMP22 | NUMA1 | 61.8 | 80.3 | 4528 | 7728 | [11, 12, 107–112, 116–118, 120, 123, 126, 131–141] |
| PDGFRβ | PDGFRB | 70.6 | 81.2 | 117 | 68 | [142] |
| Prothrombin | F2 | 71.1 | 75.0 | 76 | 80 | [143] |
| Reg-1 | REG1A | 81.3 | 81.2 | 32 | 48 | [41] |
| Semenogelin-2 | SEMG2 | 66.7 | 80 | 110 | 66 | [34] |
| Stathmin-1 | STMN1 | 90.0 | 86.7 | 30 | 30 | [31] |
| Urinary bladder carcinoma antigen (UBC) | KRT8 &KRT18 | 64.4 | 80.3 | 753 | 1072 | [11, 12, 106, 112, 113, 131, 144–148] |
| γ-synuclein, | SNCG | 87.5 | 90.0 | 110 | 66 | [34] |
Table 2
Prognostic urinary biomarkers for bladder cancer
| Marker | No. of studies | No. of patients | Comments | Refs |
| BTA | 1 | 97 | Independent prognostic indicator | [149] |
| Carcinoembryonic antigen (CEA) | 3 | 425 | Independent prognostic indicator | [44, 47, 150] |
| β-HCG | 1 | 52 | Prognostic in MIBC | [151] |
| EGFR | 1 | 436 | Independent prognostic indicator | [152] |
| EpCAM | 1 | 607 | Independent prognostic indicator | [152] |
| MMP9 | 1 | 188 | Independent prognostic indicator | [153] |
| NMP22 | 2 | 333 | Detection-prognosis | [109, 154] |
| Plasminogen Activator Inhibitor type I (PAI-1) | 1 | 244 | Not prognostic | [155] |
| PDGFRβ | 1 | 185 | Predicts recurrence in NMIBC | [142] |
| Tenascin-C | 1 | 66 | Independent prognostic indicator | [156] |
| Tissue polypeptide antigen (TPA) | 1 | 97 | Prognostic | [157] |
| Urinary sFas | 1 | 128 | Predicts recurrence in NMIBC | [158] |
| Urine tumour-associated trypsin inhibitor (TATI) | 1 | 157 | Not prognostic | [159] |
| Cystatin-B | 1 | 47 | Independent prognostic indicator | [160] |
