Current perspectives of urine-based tests for screening and post-treatment monitoring of urothelial carcinoma of the bladder
Introduction
Urothelial carcinoma (UC) originates from cells lining the upper (renal pelvis and ureter) and lower (bladder and urethra) urinary tracts. The Global Cancer Statistics 2020 report states that bladder cancer (BCa) is the seventh most common cancer among men worldwide and the thirteenth most common cancer in Japan (1,2). BCa is one of the most financially burdensome malignancies globally, spanning the diagnostic to terminal stages. Early detection, diagnosis, and intervention are crucial for reducing BCa mortality. In most patients with BCa, microscopic hematuria is the initial presentation.
Because cystoscopy is invasive and costly, both physicians and patients often hesitate to pursue adequate evaluation, which increases the risk of missed opportunities for early BCa detection and diagnosis. The American Urological Association/Society of Urodynamics, Female Pelvic Medicine & Urogenital Reconstruction (AUA/SUFU) microhematuria guidelines recommend evaluating patients with hematuria using a risk-stratification system (3). This system, based on extensive literature and systematic reviews, categorizes patients as follows:
- Low-risk (estimated UC risk <1%): women <50 years, men <40 years; never smoker or <10 pack years; 3–10 red blood cells (RBC)/high-power field (hpf) on a single urinalysis; no UC risk factors.
- Intermediate-risk (estimated UC risk 1–2%): women aged 50–59 years, men aged 40–59 years; 10–30 pack years; 11–25 RBC/hpf on a single urinalysis; low-risk patients without prior evaluation and 3–10 RBC/hpf on repeat urinalysis; additional UC risk factors.
- High-risk (estimated UC risk ≥10%): women or men aged ≥60 years; >30 pack years; >25 RBC/hpf on a single urinalysis; history of gross hematuria.
Patients classified as low risk may opt for surveillance instead of immediate cystoscopy, as UC is detected in approximately 0.8% of low-risk patients with microhematuria (4). This approach reduces the burden of potentially unnecessary cystoscopies. Urine is an ideal biological fluid for noninvasive UC diagnosis. However, conventional urine cytology cannot replace cystoscopy due to its low sensitivity and negative predictive value (NPV). A urine-based biomarker with high diagnostic accuracy, particularly high sensitivity and NPV, could help reduce unnecessary cystoscopies by facilitating the identification of individuals with cancer.
Results of the STRATA trial
As reported by Lotan et al. in a recent issue of The Journal of Urology, the STRATA trial was a prospective randomized controlled study comparing CxBladder Triage (CxbT; Pacific Edge Diagnostics, Dunedin, New Zealand) with cystoscopy in patients with asymptomatic microhematuria (5). CxbT measures the mRNA expression of five biomarkers (MDK, CDK1, IGFBP5, HOXA13, and CXCR2) in voided urine samples using quantitative reverse transcription polymerase chain reaction (PCR) (6). CXCR2 is a “negative” marker due to its high expression in neutrophils and inflammatory conditions, while the other four markers are overexpressed in BCa cells. Combined with clinical parameters such as sex, age, smoking history, and visible hematuria, the CxbT-specific algorithm generates a score ranging from 1 to 10. Scores <4 indicate a low probability of UC, with a sensitivity of 95.1% and an NPV of 98.5% (6). A prior study showed that 40% of patients were accurately triaged with a low probability of UC (6). Lotan et al. hypothesized that CxbT could triage patients requiring evaluation by identifying those at high risk of BCa while reducing evaluations in low-risk patients with negative CxbT results (5).
Patients included in the STRATA trial were classified as having lower risk (3–29 RBCs/hpf and smoking <10 pack-years) or not lower risk (>29 RBCs/hpf and/or smoking >10 pack-years). Low-risk patients were randomized into the CxbT marker or standard of care (SOC) groups. Among 390 eligible patients, 135 (34.6%) with low-risk were subsequently randomized to either the CxbT-informed decision or SOC groups. Overall, 63% of CxbT test results were negative. All patient groups underwent conventional flexible white-light cystoscopy per SOC. Among non-low-risk patients, 82% underwent cystoscopy. In low-risk patients, cystoscopy was performed in 67% of the SOC group and 27% of the CxbT marker group [relative risk: 0.41, 95% confidence interval (CI): 0.27–0.61], corresponding to a 59% reduction. Compared with cystoscopy, CxbT demonstrated 90% sensitivity, 56% specificity, and 99% NPV for detecting UC. The authors concluded that the clinical utility of CxbT in safely reducing unnecessary cystoscopies in low-risk patients with microhematuria could theoretically lower patient morbidity and discomfort, improve access to care, and reduce environmental impact.
Clinical utility of CxBladder tests
CxBladder tests are commercially available in Australia, New Zealand, Singapore, the United States, Israel, Argentina, Uruguay, Venezuela, Vietnam, the Philippines, Malaysia, and Brunei. These tests comprise four options tailored to different clinical needs and situations: CxBladder Detection (CxbD), CxbT, CxBladder Resolve (CxbR), and CxBladder Monitoring. CxbD and CxbT were developed to detect and rule out BCa in patients presenting with hematuria (7). CxbR is designed for use following CxbD and CxbT. In cases where CxbT yields positive results, it reflects the positivity to CxbR, enabling identification of patients with a high probability of high-impact tumors, such as high-grade Ta, Tis, or T1–3 late-stage BCa. The sensitivity and specificity of the test were 92.4% (95% CI: 83.3–96.7%) and 93.8% (95% CI: 86.8–97.2%), respectively, when selecting exclusively for high-grade or late-stage tumors (8). This enhances clinical decision-making and facilitates the accurate segregation of patients with high-impact tumors. Additionally, CxBladder Monitoring reliably rules out recurrent UC. The sensitivity and NPV were 93% and 97%, respectively, outperforming all other Food and Drug Administration (FDA)-approved urine tests in excluding patients with a low risk of recurrent UC (9). The CxBladder Monitor reduces the need for routine cystoscopy and other costly invasive procedures, allowing urologists to concentrate on patients at higher risk of recurrence who require more intensive clinical evaluation.
Other urine-based biomarkers for screening and post-treatment monitoring of BCa
In several decades, numerous efforts have been made to develop useful urine-based tests using various types of biomaterials, target markers, and assays to decrease or omit cystoscopies. Table 1 lists several urine-based tests, including urine cytology, immunoCyt/uCyt+, UroVysion, NMP-22, and bladder tumor antigen (BTA), that have been approved by FDA (10-12). The sensitivities of urine-based biomarkers are superior to that of urine cytology, whereas the specificities are inferior in most of the biomarkers. A systematic review and meta-analysis compared the diagnostic performance among CxBladder, AssureMDx, BTA, Nuclear Matrix Protein 22 (NMP22), UroVysion, and ImmunoCyt/uCyt+ in the evaluation of primary hematuria for screening of BCa (13). A total of 18 studies were included in the analysis, demonstrating the sensitivity ranged from 65.9% to 97.3%, and the specificity ranged from 57.7% and 83.3% across the six tests. AssureMDx, CxBladder, and ImmunoCyt/uCyt+ had better diagnostic performance based on their sensitivity, specificity, diagnostic odds ratio, and positive and negative likelihood ratios. Current diagnostic capability of the FDA-approved urine-based tests remain insufficient for wide application as a triage test for cystoscopy in patients with primary hematuria.
Table 1
Name of assay | Biomaterial | Marker description | Assay | Application purpose | Sensitivity, % | Specificity, % |
---|---|---|---|---|---|---|
Urine cytology | Sediment | Morphology | Staining and microscopical exam | Evaluation of symptoms, screening | 38 | 98 |
Monitoring | Range, 16–53 | Range, 94–100 | ||||
ImmunoCyt/uCyt+ | Sediment | Tumor-associated cellular antigens (M344, LDQ10, 19A11) | Immunofluorescence | Evaluation of symptoms, screening | 85 (95% CI: 78–90) | 83 (95% CI: 77–87) |
Monitoring | 75 (95% CI: 64–83) | 76 (95% CI: 70–81) | ||||
UroVysion | Sediment | Aneuploidy for chromosomes 3, 7, 17 & loss of the 9p21 locus | Multi-target FISH | Evaluation of symptoms, screening | 73 (95% CI: 50–88) | 95 (95% CI: 87–98) |
Monitoring | 55 (95% CI: 36–72) | 80 (95% CI: 66–89) | ||||
Uro17 | Sediment | Cytokeratin 17 | Immunocytochemical assay | Initial diagnosis and surveillance | 100 | Range, 92.6–96 |
CellDetect | Sediment | Metabolic activity in cancer cells | Immunocytochemical assay | Initial diagnosis and surveillance | 84 (51.6 for LG, 92.8 for HG) | 70 |
NMP22 Bladder Cancer Test | Protein | NuMA | Sandwich ELISA | Evaluation of symptoms, screening | 67 (95% CI: 55–77) | 84 (95% CI: 75–90) |
Monitoring | 61 (95% CI: 49–71) | 71 (95% CI: 60–81) | ||||
NMP22 BladderChek | Protein | NuMA | Dipstick immunoassay (POC) | Evaluation of symptoms, screening | 47 (95% CI: 33–61) | 93 (95% CI: 81–97) |
Monitoring | 70 (95% CI: 40–89) | 83 (95% CI: 75–89) | ||||
BTA TRAK | Protein | hCFHrp | Sandwich ELISA | Evaluation of symptoms, screening | 76 (95% CI: 61–87) | 53 (95% CI: 38–68) |
Monitoring | 58 (95% CI: 46–69) | 79 (95% CI: 72–85) | ||||
BTA stat | Protein | hCFHrp | Dipstick immunoassay (POC) | Evaluation of symptoms, screening | 76 (95% CI: 67–83) | 78 (95% CI: 66–87) |
Monitoring | 60 (95% CI: 55–65) | 76 (95% CI: 69–83) | ||||
UBC test | Protein | Cytokeratin 8/18 fragment | Sandwich ELISA | Initial diagnosis | Range, 12–80 | Range, 77.3–97 |
BLCA-4 | Protein | BLCA-4 | ELISA | Initial diagnosis and surveillance | 93 | 97 |
ADXBLADDER | Protein | MCM5 | ELISA | Initial diagnosis and surveillance | 61 (50 for LG, 79 for HG) | 67 |
Oncuria | Protein | 10 proteins (ANG, APOE, A1AT, CA9, IL-8, MMP9, MMP10, PAI1, SDC1, VEGF) | Multiplex immunoassay | Initial diagnosis and surveillance | 93 (89 for LG, 94 for HG) | 93 |
CxBladder Detect | mRNA | IGFBP5, MDK, HOXA13, CDK1, and CXCR2 | RT-PCR | Evaluation of symptoms, screening | 82 | 85 |
CxBladder Triage | mRNA | IGFBP5, MDK, HOXA13, CDK1, and CXCR2 | RT-PCR | Evaluation of symptoms, screening | 90 | 56 |
CxBladder Monitor | mRNA | IGFBP5, MDK, HOXA13, CDK1, and CXCR2 | RT-PCR | Monitoring | 91 | 96 (NPV) |
Xpert Bladder Cancer Detection | mRNA | ABL1, CRH, IGF2, UPK1B, and ANXA10 | RT-PCR | Diagnosis | 77 | 85 |
Xpert Bladder Cancer Monitor | mRNA | ABL1, CRH, IGF2, UPK1B, and ANXA10 | RT-PCR | Monitoring | 84 | 91 |
UroMuTERT | DNA | DNA mutation in TERT promoter | Target sequencing | Initial diagnosis and surveillance | 87.1 | 94.7 |
UroSEEK | DNA | DNA mutations in 11 gene regions | Target sequencing | Initial diagnosis | 96 | 88 |
Surveillance | 74 | 72 | ||||
uCAPP-Seq | DNA | DNA mutations in target regions from 460 genes | Target sequencing | Initial diagnosis and surveillance | 83 (72 for LG, 96 for HG) | 97 |
Uromonitor-V2 | DNA | DNA mutations in TERT promoter, FGFR3, and KRAS | PCR | Initial diagnosis and surveillance | 93.1 | 85.4 |
UroCAD | DNA | Overall DNA copy number variant burden | Low-coverage whole genome sequencing | Initial diagnosis and surveillance | 80 (87 for LG, 94 for HG) | 95 |
Bladder EpiCheck | DNA | DNA methylation in 15 gene regions | Quantitative PCR | Initial diagnosis and surveillance | 68 (40 for LG, 89 for HG) | 88 |
UroDiag | DNA | DNA mutation in FGFR3 and DNA mutations in HS3ST2, SEPTIN9, and SLIT2 | Quantitative PCR | Initial diagnosis | 98 (94 for LG, 100 for HG) | 85 |
Monitoring | 95 (94 for LG, 96 for HG) | 76 | ||||
AssureMDX | DNA | DNA mutations in FGFR3, TERT, and HRAS and DNA methylations in OTX1, ONECUT2, and TWIST1 | Quantitative PCR | Initial diagnosis and surveillance | Range, 93–96 | Range, 73–86 |
UroMark | DNA | DNA methylation in 150 CpG loci | Targeted bisulfite sequencing | Initial diagnosis and surveillance | 96 | 97 |
UriFind | DNA | DNA methylation in ONECUT2 and VIM | Quantitative PCR | Initial diagnosis and surveillance | 92 (69 for LG, 94 for HG) | 77 |
BladMetrix | DNA | 8 DNA methylation markers | Droplet digital PCR | Initial diagnosis and surveillance | 92 (85 for LG, 95 for HG) | 93 |
BTA, bladder tumor antigen; CI, confidence interval; ELISA, enzyme-linked immunosorbent assay; FISH, fluorescence in situ hybridization; hCFHrp, human complement factor H related protein; HG, high-grade; LG, low-grade; NMP22, Nuclear Matrix Protein 22; NPV, negative predictive value; NuMA, nuclear mitotic apparatus-associated protein; POC, point-of-care; RT-PCR, reverse transcription-polymerase chain reaction.
Another mRNA-based test, the XpertÒ Bladder Cancer (Cepheid, Sunnyvale, CA, USA) quantifies five mRNA targets (ABL1, CRH, IGF2, UPK1B, and ANXA10) by real-time PCR. All the five genes are overexpressed in BCa cells. Xpert Bladder Cancer encompasses two tests to meet different clinical needs and situations: XpertÒ Bladder Cancer Detection and Monitor. The first prospective study that included 155 urine samples from 140 patients with a history of non-muscle-invasive bladder cancer (NMIBC) showed high sensitivity (84%) and specificity (91%) of the XpertÒ Bladder Cancer Monitor (14). Only few reports are available on Xpert Bladder Cancer Detection for screening and initial detection, and one of which shows a high sensitivity of 100% and low specificity of 4.5% (15). It might be necessary to determine an appropriate risk calculation algorism for this diagnostic setting.
Summary
Patients and physicians have long preferred reducing the number of cystoscopies for hematuria screening and post-treatment monitoring. DNA alteration- and mRNA-based urinary tests have demonstrated high diagnostic accuracy for detecting UC, including low-grade tumors, as reported in previous studies. In the STRATA trial (5), researchers validated the clinical utility of CxbT in safely reducing unnecessary cystoscopies in low-risk patients with microhematuria. However, this study has limitations, including the absence of patient quality of life (QOL) assessment and economic impact analysis of CxbT in patients with microhematuria. Additionally, external validation using diverse cohorts is currently lacking. Further post-hoc analyses of the STRATA trial and prospective studies designed to confirm the high cost-effectiveness of these tests are needed to support their widespread adoption.
Acknowledgments
None.
Footnote
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