INJ Search

CLOSE


Int Neurourol J > Volume 28(2); 2024 > Article
Seok, Kwak, Kim, Kim, and Kim: Advances in Liquid Biopsy for Diagnosis of Bladder Cancer

ABSTRACT

Bladder cancer (BCa) is the most common malignancy of the urinary system. It has a high recurrence rate and requires longterm follow-up. Significant advances in BCa research have been made in recent years; however, the initial diagnosis and follow-up of BCa relies on cystoscopy, which is an invasive and expensive procedure. Over the past decade, liquid biopsies (e.g., blood and urine) have proven to be highly efficient methods for the discovery of BCa biomarkers. This noninvasive sampling method is used to analyze unique tumor components released into body fluids and enables serial sampling and longitudinal monitoring of tumor progression. Several liquid biopsy biomarkers have been studied extensively and have shown promising results in the clinical applications of BCa, including early detection, microscopic residual disease detection, recurrence prediction, and treatment response. Therefore, this review aims to provide an update on various new liquid biopsy markers and the advantages and current limitations of liquid biopsy in the diagnosis of BCa.

INTRODUCTION

Bladder cancer (BCa) is the leading cause of death and most common malignancy of the urinary system, with an estimated 573,000 new cases and approximately 212,000 deaths worldwide each year [1]. BCa is commonly classified into non–muscle-invasive bladder cancer (NMIBC), muscle-invasive bladder cancer (MIBC), and metastatic disease [2].
Approximately 75% of BCa patients are diagnosed with NMIBC, which can be effectively treated with transurethral resection of bladder tumors; 70% of these tumors recur and 15% progress to the next stage or grade [3]. Therefore, patients diagnosed with NMIBC require frequent treatment and monitoring. NMIBC is a superficial BCa, and its pathological stages include papillary (Ta), lamina propria infiltrate (T1), and carcinoma in situ (CIS). Among these patients, Ta, T1, and CIS accounted for approximately 70%, 20%, and 10%, respectively. Up to 80% of patients with NMIBC relapse within 5 years, 30% of Ta patients develop MIBC, and those with T1 and CIS are more likely to develop MIBC [4]. Due to the high recurrence rate in patients with NMIBC, it is important to develop noninvasive and sensitive methods to monitor recurrence. Currently, most patients with BCa are diagnosed during examinations due to hematuria. Thus, no diagnostic tools are available to screen for bladder cancer (BC). Cystoscopy is a key method for investigating hematuria and is an essential modality for diagnosing and identifying local disease recurrence in NMIBC [5]. However, cystoscopy is an invasive and expensive method that is sometimes associated with complications. Although cystoscopy has improved in sensitivity, the development of a noninvasive method to detect new and recurrent diseases remains a top priority for patients and healthcare professionals [6]. Liquid biopsy is a simple, noninvasive alternative to surgical biopsy that provides information about the disease through a sample of biological fluids such as blood, plasma, urine, or other biofluids. This review summarizes the current landscape of liquid biopsy biomarkers and their clinical applications in BCa.

COMMERCIAL KIT TO DETECT BLADDER CANCER USING LIQUID BIOPSY BIOMARKERS

Several commercial molecular tests have been approved by the U.S. Food and Drug Administration (FDA) for the specific diagnosis of BC [7]. These tests include the detection of soluble proteins such as nuclear matrix protein 22 (NMP22) and bladder tumor antigen (BTA); immunocytochemical measurement of the high molecular weight form of carcinoembryonic antigen (CEA) and 2 bladder tumor cell-associated mucins (ImmunoCyt/uCyt+, DiagnoCure Inc., Quebec, Canada); and chromosomal aneuploidy detected by fluorescence in situ hybridization (UroVysion, Abbott Molecular Inc., Des Plaines, IL, USA).

Nuclear Matrix Protein 22

NMP22 is a protein included in a group of nuclear matrix proteins that plays a significant role in the nuclear mitotic apparatus [8]. Numerous NMPs are overexpressed in urothelial tumors and can be found in the urine after tumor cell apoptosis. NMP22 is a tumor marker for urothelial BC and stands out as a protein that elevated in the urine of patients with BCa [9]. Both the quantitative test NMP22 Bladder Cancer enzyme-linked immunosorbent assay (ELISA) and the point-of-care test NMP22 BladderChek have been approved for surveillance by the FDA. In a comparative test between the 2 methods, NMP22 ELISA kit showed a lower sensitivity compared to NMP22 BladderChek kit (40%– 42% vs. 59%–63%), whereas specificity of 2 kits was similar (93%–99%) [10]. A meta-analysis of 23 studies that evaluated and compared the accuracy of NMP22 BladderChek showed that the overall sensitivity of 56% and specificity of 88% [11].

Bladder Tumor Antigen

BTA is a human complement factor H-related protein. The BTA TRAK/stat is an FDA-approved test for the diagnosis and follow-up of BCa that measures the level of protein in urine. BTA TRAK is a quantitative ELISA assay that requires skilled personnel and a reference laboratory. BTA Stat is a qualitative immunochromatographic assay used as an adjunct to cystoscopy for monitoring BC recurrence. A side-by-side comparison of tumor markers showed that BTA Stat had significantly higher sensitivity for high-grade tumors (74%) than for low-grade tumors (25%) [12]. The BTA Stat has a range of sensitivity from 57%–82% and specificity from 68%–93%, whereas the sensitivity of BTA TRAK ranges from 66%–77% and the specificity ranges from 50%–75% [13-15].

ImmunoCyt/uCyt+

ImmunoCyt/uCyt was developed to improve the low sensitivity of cytology and is a product that combines 3 monoclonal antibodies [16]. Among these antibodies, M344 and LDQ10, labeled with the green fluorophore fluorescein, were raised against mucin-like antigens, while 19A211, labeled with Texas Red, recognized the high molecular weight form of CEA. M344 is expressed in 71% of Ta–T1 tumors and 19A211 is expressed in 90% of Ta–T1 tumors [17]. In a study of 870 urine analyses, the combined cytology and ImmunoCyt/uCyt assay had an overall sensitivity of 84%, specificity of 61%, and negative predictive value of 95% [18]. Another study including patients with 85 recurrent and 58 newly diagnosed bladder tumors confirmed using cystoscopy combined both tests to show sensitivities of 66.7%, 78%, and 87% for different tumor grades, including G1, G2, and G3 transitional cell carcinomas [19].

UroVysion

UroVysion is an FDA-approved test for detecting BC that uses a DNA probe complex labeled at specific chromosomal foci to identify changes in chromosomes 3, 7, 17, and 9p21 loci in specific cells. It uses labeled DNA probes to identify specific chromosomal changes in cells found in urine. In many studies, this test has a sensitivity of 69%–74% and a specificity of 65%–95% [20, 21]. A meta-analysis of 13 studies showed that the specificity of UroVysion was 83% and sensitivity was 72%, compared to urine cytology whose specificity and sensitivity was 96% and 42%, respectively [22]. In another study, UroVysion showed sensitivity and specificity of 75.6% and 84.8% in high-grade BCa, whereas it showed sensitivity and specificity of 40.8% and 87.8% in low-grade BCa, respectively [23].

LIQUID BIOPSY IN CLINICAL TRIALS

Recently, liquid biopsy has attracted attention as a less invasive method with broad applicability. However, further research is required to validate the clinical application of liquid biopsy. Several clinical trials are currently underway in this field. We have summarized the clinical trials of liquid biopsy for BC in the last 5 years in Table 1.
Many clinical trials have attempted to diagnose BC using various methods including the detection of mutations and methylation in DNA; levels of microRNA (miRNA), messenger RNA (mRNA), and protein; and magnetic resonance imaging. However, liquid biopsy devices and kits face challenges in obtaining approval for diagnostic use owing to technical limitations and issues in standardizing procedures across laboratories. There is a lack of standardized methods for testing samples, setting thresholds, and interpreting data. Extensive clinical trials and feasibility studies with large sample sizes and multiple centers are necessary to address these issues and provide accurate clinical answers.

DIAGNOSTIC BIOMARKERS FOR BLADDER CANCER CAN BE IDENTIFIED FROM BLOOD SAMPLES

Circulating Tumor Cells

Circulating tumor cells (CTCs) are cancer cells shed from primary tumors and enter the bloodstream [24]. CTCs play a crucial role in metastasis by allowing cancer cells to travel through the bloodstream and establish secondary tumors in distant organs. CTCs can be released into circulation at an early stage of cancer, sometimes even before a tumor is clinically detectable. Therefore, the detection of CTCs may allow for the diagnosis of BCa at an earlier and potentially more treatable stage [25]. Qi et al. [26] reported that the quantitation of CTCs through folate receptor α ligand-polymerase chain reaction (PCR) could be a promising noninvasive method for diagnosing bladder transitional cell carcinoma. Its reasonably high sensitivity and specificity suggest that this test has potential utility in identifying individuals with BCa [27].
The epithelial cell adhesion molecule (EpCAM) is a transmembrane glycoprotein commonly expressed on the surface of epithelial cells, including cancer cells of epithelial origin. EpCAM has been widely used as a marker for the detection and isolation of CTCs since many solid tumors such as breast, colorectal, and prostate cancers, are of epithelial origin [28]. Moreover, there was a significant association between highgrade advanced stages of BCa and the expression of EpCAMs; the correlation between EpCAM expression and poor overall survival (OS) implies a potential role for EpCAM in tumor progression [29]. Thus, the use of EpCAM as an imaging target for the diagnosis of lymph node metastases in migratory cell carcinoma of the bladder is valuable application [30].
Rink et al. [31] suggested that CTCs are more frequently detected in patients with metastatic disease than in those with nonmetastatic disease. The presence of CTCs in individuals with nonmetastatic disease could indicate a subset of patients at higher risk or with more aggressive disease characteristics. The high detection rate in the metastatic group may also suggest a potential correlation between CTC presence and disease progression [32]. CTC detection as a prognostic tool has potential utility in BCa management. These findings suggest that approximately one-quarter of the 188 patients with BCa had detectable CTCs prior to treatment, which could include surgery, chemotherapy, or other interventions. Importantly, patients who tested positive for CTCs and subsequently underwent treatment showed poorer progression-free survival, cancer-specific survival, and OS compared to those who were CTC-negative [33]. These investigations have consistently reported correlations between the presence of CTCs and various clinical parameters such as tumor stage, lymph node metastasis, and survival outcomes [34]. Additionally, higher levels of CTCs were detected in MIBC compared with NMIBC. This finding suggests that CTCs may predominate during the invasive stages of the tumor, particularly when the cancer infiltrates the muscle layer of the bladder [35].

Circulating Tumor DNA/Cell-Free DNA

Tumor cells undergo various processes such as apoptosis, necrosis, and active release, which can result in the release of DNA into the bloodstream. Circulating DNA is often referred to as cell-free DNA (cfDNA) or circulating tumor DNA (ctDNA) when it originates from tumor cells [36]. Liquid biopsy techniques, which involve analyzing cfDNA in bodily fluids such as blood, have gained importance in cancer research and clinical practice owing to their minimally invasive nature and potential for real-time monitoring [37]. Researchers and clinicians can use techniques such as quantitative PCR, digital PCR, nextgeneration sequencing, and other molecular biology methods to analyze genetic alterations in ctDNA, thereby providing valuable information about the genetic makeup of tumors without requiring invasive procedures such as tissue biopsies [38]. There is often a correlation between the amount of ctDNA in the bloodstream and the size and stage of the tumor [39]. As tumors grow or progress, they shed more DNA into the circulation.
The association between ctDNA methylation status and the aberrant methylation of tumor suppressor genes in preoperative plasma samples from patients with BCa is indicative [40]. p16, specifically its promoter region, undergoes alterations in DNA methylation in BCa [41]. The results of a small cohort study indicate that the hypermethylation status of serum ctDNA could be a potential biomarker for BC detection [42]. This study suggests that the hypermethylation status of specific genes in serum cfDNA, particularly APC, GSTP1, and TIG1, may serve as a promising biomarker panel to distinguish patients with BCa from healthy individuals. Additionally, ctDNAs are often detected in metastatic BCa, thereby reflecting the presence of tumor-derived genetic material.
The identification of gene mutations in ctDNA, such as FGFR3, PIK3CA, ERBB2, and EGFR, is an important approach in the field of liquid biopsy for BCa [43]. Additionally, the identification of potential mutations in ctDNAs from patients with metastatic BCa (including RB1, CDKN2A, and ERBB2), MAPK/ERK or PI3K/AKT/mTOR pathway-associated mutations, and chromatin remodeling-associated mutations provides crucial insights into the disease [44].
CtDNA testing has potential value as a tool for the early identification of disease recurrence after RC or triple therapy for MIBC [45]. CtDNA analysis can also identify specific genetic alterations such as FGFR3, DRCC2, ERBB2, and TMB which have been proposed as biomarkers for BCa treatment response [46]. Recognizing the association between specific ctDNA mutations and BCa prognosis offers a new reference point and foundation for personalized BC treatment [47].

Cell-Free RNA (mRNA, miRNA, Long Noncoding RNA)

CfRNA stands for “cell-free RNA,” which refers to RNA molecules that are found outside of cells. CfRNA is usually present in body fluids such as blood, saliva, urine, and cerebrospinal fluid [48]. There are different types of cfRNAs including circulating miRNAs, mRNA, and long noncoding RNA (IncRNA). Techniques such as liquid biopsy, which involves the analysis of cfRNA in bodily fluids, have been explored for cancer detection and monitoring, as tumors release specific cfRNA signatures into the bloodstream [49].
Circulating miRNAs hold promise as noninvasive biomarkers for BCa diagnosis and prognosis. It has been reported that miR-19a expression is significantly increased in both tumor tissues and plasma in patients with BC, while miR-99a expression is significantly decreased [50]. Motawi et al. [51] suggested that miRNAs (miR-92a, miR-100, and miR-143) may show differential expression patterns in the plasma of individuals with BCa, thereby making them potential candidates for use as biomarkers to detect or monitor diseases. A subsequent study found that the expression levels of 7 miRNA panels (miR-6087, miR-6724-5p, miR-3960, miR-1343-5p, miR-1185-1-3p, miR6831-5p, and miR-4695-5p) may show patterns indicative of early stages, which allows for timely and accurate diagnosis [52].
Marin-Aguilera et al. [53] tested a panel of bladder-specific mRNA markers, including FXYD3, C10orf116, AGR2, KRT19, KRT20, and UPK2. There were differences in the expression of C10orf116 and KRT19 between patients and controls. Uroplakin II, cytokeratin (CK) 20, CK-19, and epidermal growth factor receptor mRNA in the blood may be useful markers for BCa [54] and matrix metalloproteinase (MMP)-2, MMP-9, and tissue inhibitors of metalloproteinase-2 mRNA levels are increased in the peripheral blood of BC patients [55].

Exosomes

Exosomes are a specific subtype of extracellular vesicles (EVs), which are membrane-bound vesicles released by cells into the extracellular environment [56]. Exosomes carry a variety of molecular cargo, including proteins, nucleic acids (DNA, miRNA, IncRNA, and circular RNA), lipids, and metabolites, and play a role in oncogenesis [57]. The specific proteins CD9, CD81, CD63, ALIX, TSG101, and HSP70 are commonly associated with exosomes and are often used as potential cancer diagnostic biomarkers [58].
Serum exosomes have been studied as potential noninvasive biomarkers for the early diagnosis of BCa. Exosomal IncRNA H19, lncRNA-rich uroepithelial carcinoma-associated 1 exosomes, and exosomal IncRNA PTENP1 are potential diagnostic biomarkers for BCa [59-61]. Furthermore, some studies have demonstrated the combined application of exosomal noncoding RNAs, such as exosomal IncRNAs (PCAT-1, UBC1, and SNHG16) in the diagnosis of BCa [62].
Numerous studies have explored the potential of blood-based exosomes as noninvasive prognostic biomarkers for BCa. For example, miR-663b and miR-4644 levels were elevated in the plasma exosomes of patients with BCa [63, 64]. Conversely, dysregulation of specific miRNAs such as miR-375-3p and miR-133b in the serum has been reported in BCa [65, 66]. Moreover, it was confirmed that the downregulation of miR-185-5p and miR1061-5p or the upregulation of miR-10b-5p in exosomes from BCa serum was significantly associated with cancer progression [67].

Metabolites/Proteins/Peptides

Serum metabolomic and proteomic studies offer valuable insights into the molecular changes associated with BCa. The identification of specific biomarkers can contribute to the development of noninvasive diagnostic tools and personalized treatment strategies for individuals with BCa [68].
Metabolomics plays a crucial role in cancer research by providing valuable information for risk assessment, real-time monitoring, prognosis prediction, and evaluation of treatment responses [68]. Metabolomics involves the systematic study of small molecules, often referred to as metabolites, and can provide critical information regarding cancer stage [69]. For example, a combination of dimethylamine, glutamine, and malonic acid was isolated between different grades of BCa using nuclear magnetic resonance (NMR) spectroscopy-based serum metabolomics [70]. The identification of specific combinations of serum metabolites, such as inosine, N1-acetyl-N2-formyl-5-methoxykynurenine, and phosphatidylserine, as predictors of high-level BCa further exemplifies the potential of metabolomics in developing diagnostic tools [71]. More recently, 4 potential serum biomarkers (isobutyrate, pyroglutamate, choline, and acetate) for BCa were quantified using proton NMR spectroscopy and a metabolic pathway impact analysis was conducted through NMR and laser desorption/ionization-mass spectrometry. Seven pathways (glycine, serine and threonine metabolism, glycerophospholipid metabolism, propanoate metabolism, glutathione metabolism, pyruvate metabolism, glyoxylate and dicarboxylate metabolism, and glycolysis/gluconeogenesis) were associated with BCa [72].
Proteomics-based analyses of liquid biopsies play a crucial role in advancing BCa research and clinical applications. The identification of differentially expressed proteins, including S100A8 and S100A9, as accurate discriminators between BCa and healthy controls underscores the potential of proteomic approaches for advancing diagnostic strategies [73]. The identification of abnormally expressed serum levels of S100A4, S100A8, S100A9, CA-I, and annexin V as effective protein markers for BCa offers promise for BCa diagnosis and management [74] and high levels of S100A12 have been detected in BCa diagnosis [75]. The levels of MMP23B protein in the blood are increased in BCa, thereby suggesting its potential as a biomarker for BCa [76]. During the clinical course, serum alpha-fetoprotein levels in patients with BCa have been reported to correlate with the treatment response including chemotherapy, surgery, and immunotherapy, such as pembrolizumab [77].

DIAGNOSTIC BIOMARKERS FOR BLADDER CANCER CAN BE IDENTIFIED FROM URINE SAMPLES

A voided urine specimen is an ideal biological source of normal bladder and exfoliated tumor cells [78]. Therefore, urine is considered the best specimen for the noninvasive diagnosis of BCa. Various molecules can be measured in urine, including DNA, RNA, and proteins.

Genome-Based Biomarkers

Urinary DNA molecules are classified into cellular DNA, cfDNA, and exosomal DNA. Several studies have confirmed that urinary DNA biomarkers can be used to predict the risk of BCa in patients with hematuria [79, 80]. Considering the genomic complexity of BCa, urinary DNA provides the most powerful tumor-specific information for noninvasive BCa detection. Epigenetic modifications, including DNA methylation, are fundamental mechanisms of carcinogenesis, particularly in BCa [81]. DNA methylation primarily occurs at the CpG dinucleotides. These CpG dinucleotides are spread throughout the genome and most of them are methylated. Some regions of the genome have a high CpG density and are called CpG islands. Generally, hypermethylation of abnormally unmethylated CpG islands in the promoter regions of tumor suppressor genes suppresses transcription in human tumors [82]. Therefore, aberrant DNA methylation is a potential biomarker for the diagnosis and monitoring of BC. DNA methylation can be detected in urinary DNA of patients with BCa [83]. Recently, genomic methylation of CFTR, SALL3, and TWIST1 was compared between 111 BCa and 57 control urinary cells [84]. In this study, methylation of the 3 genes achieved an area under the curve (AUC) of 0.741, whereas urinary cytology reached an AUC of 0.696. TWIST1 and NID2 were also independent predictors of BCa, which supports the results of several previous studies. Previously, Renard et al. [85] have showed a sensitivity and specificity of >90% for detecting BCa. Regarding the methylated genes that differentiate between normal and cancerous urothelium, TWIST1 is also part of a panel of urinary biomarkers in a large hematuria cohort assessed for the presence or absence of urothelial carcinoma. In other cases, the combination of SOX1, IRAK3, and L1-MET has been shown to provide better resolution than cytology or cystoscopy in detecting early recurrence [86]. Hypermethylation of several genes, including APC, RARb2, and GSTP1 has been observed in patients with urothelial BCa. These methylated genes allowed identification of BCa patients with a sensitivity of 62% and a specificity of 89% [87]. In another study, the UroMark assay showed sensitivity, specificity, and negative predictive value of 98%, 97%, and 97%, respectively for the detection of primary BCa compared to urine from normal counterparts [88].
In addition, genomic mutations can be detected in urinary DNA, including cellular, cell-free, and exosomal DNA. Previously, deep sequencing enabled large-scale identification of somatic mutations (SMs) in BCa and sensitive detection of SMs in urine DNA [89]. However, whole-exosome and whole-genome sequencing remain expensive at depths sufficient to detect SM at low mutant allele frequencies (MAFs). Therefore, targeted sequencing of a minimum number of SM panels that provide sufficient information is desirable to make the test inexpensive and interpretable.
Most urine DNA-based studies use DNA extracted from centrifuged urine cell pellets (cpDNA). The multiplex assays including intragenic mutations in 10 frequently mutated genes in urothelial tumors (FGFR3, TP53, PIK3CA, HRAS, KRAS, CDKN2A, ERBB2, MET, VHL, and MLL) detected mutations in 68% of the 175 urinary cell pellet samples with BCa [86]. A total of 246 SMs were detected in 8 of the 10 target genes. The median MAF of urinary cellular DNA with detectable mutations was 8% (8.14%). The most commonly altered genes were TP53 (45% of all mutations) and FGFR3 (20% of all mutations). In a multicenter study, sensitivity of the combination assays for detection of BCa recurrence was 57% in patients with primary low-grade NMIBC. However, sensitivity for recurrence, pT1, and MIBC was 83% [90].
CfDNA is a short DNA fragment released into body fluids through natural cell death. Recently, several studies reported that cfDNA extracted from centrifuged urine supernatants revealed genomic changes in BCa [91, 92]. In a pilot study of 377 biological fluid samples from 12 patients with recurrent, progressive, and metastatic BCa, patients with advanced disease had significantly higher levels of tumor DNA in their plasma and urine before disease progression than patients with recurrent disease [91]. Additionally, a comparison of genomic profiles of cellular DNA and cfDNA from urine with matched tumor DNA from 23 patients with BCa showed that urine DNA was highly representative of patient tumors and capable of detecting recurrent genomic abnormalities [89]. Diagnosis consisting of 5 target genes (TERT, FGFR3, TP53, PIK3CA, and KRAS) or 7 genes (TERT, FGFR3, TP53, PIK3CA, KRAS, HRAS, and KRAS) through bioinformatics analysis of urinary DNA mutations has also shown successful identification of malignancy in patients with hematuria [93]. Recently, to detect molecular residual disease in patients with BC, urinary cfDNA from 74 patients with localized BCa was analyzed using ultra-low-pass whole-genome sequencing and urine cancer personalized profiling by deep sequencing. In this study, variant allele frequency, estimated tumor mutation burden, and copy number-derived tumor fraction levels of urinary cfDNA significantly predicted pathological complete response status better than plasma ctDNA. These findings demonstrate that urine cfDNA can sensitively detect MRD and accurately predict patient survival [94].

Protein and Peptides

Urinary proteins and peptides are easily preserved and are more stable than other urinary biomarkers. Another advantage of protein biomarkers is that they are easy to use and can be used in point-of-care tests that provide rapid results. Several new tests and biomarkers based on proteins found in the urine have been investigated for the early diagnosis of BCa. Among recently introduced protein biomarkers, the URO17 test utilizing keratin 17 (K17) has shown particularly promising results. In this retrospective study, the sensitivity and specificity of URO17 showed 100% were confirmed using urine samples from BCa patients [95]. Another study observed high concentrations of MMP-2 and MMP-9 proteins in the blood and urine of BCa patients and showed 100% sensitivity and specificity for BCa diagnosis through receiver operating characteristic curve analysis [96]. A diagnostic study involving 3 protein biomarkers (AIB1, EIF5A2, and NMP22) was conducted with 92% sensitivity and specificity in a study of 210 subjects [97].

Exosomes

Additionally, urinary exosomes have emerged as promising diagnostic biomarkers for BCa [98]. Exosomes are released from cells and discharged into various body fluids such as blood and urine. Exosomes are a subset of EVs that contain a variety of proteins, lipids, and nucleic acids and may be potential biomarkers of malignancy. Most studies on the utilization of nucleic acids in exosomes as biomarkers have focused on miRNAs or mRNAs; however, exosomes containing DNA fragments and genomic alterations have been identified in various cancers. Several studies have shown that urinary exosomal DNA can be detected in patients with BCa [99, 100]. Targeted deep sequencing of 9 genes and copy number variation analysis of the entire genomic region revealed that urine cfDNA and exosomal DNA are representative of the entire human genome and enable the genomic profiling of BCa [99]. Moreover, urine from patients with BC is characterized by significantly higher exosome concentrations and exosomal DNA content than normal samples. A study of whole-exosome sequencing of urine exosomal DNA-matched DNA from serum, peripheral blood mononuclear cells, and tumor tissues from 6 patients, demonstrated that urine exosomal DNA captures SMs in several genes and several unique driver variants. showed an outstanding potential [100].

Metabolites

Recently, several studies have used urine metabolomic analysis to identify useful biomarkers for BCa diagnosis and monitoring. In a urine study of 51 patients with BCa and 49 healthy volunteers, several differential metabolites were identified through comparative urine metabolomics, and 8 putative markers were selected to distinguish early stage BCa, with an AUC of 0.97 [101]. A recent study showed that a metabolic panel based on 11 biomarkers (glycochenodeoxycholic acid, adenosine monophosphate, 5-Aminolevulinic acid, myristic acid, chenodeoxycholic acid, salicyluric acid, proline, N-acetylserine, picolinic acid, hydroxypropionic acid, and 4-Hydroxybenzoic acidcan) distinguished between BCa patients and healthy volunteers, with a sensitivity of 95.3% and a specificity of 100% [102]. Another study identified a 4 urinary biomarker panel (5-hydroxyvaleric acid, cholesterol, n3-phosphoglyceric acid, and glycolic acid) with a sensitivity of 88.0% and specificity of 85.7% for the diagnosis of BCa [103].

CONCLUSION

Management strategies for patients with BC face challenges associated with invasive biopsy methods, patient anxiety, and financial burden. Liquid biopsy has emerged as a promising alternative that offers effectiveness in cases where tissue samples are unavailable, and can potentially reduce patient discomfort by deferring invasive procedures. Although various blood and urinary diagnostic markers have been reported, most FDA-approved markers lack sufficient diagnostic capabilities such as sensitivity to low-grade BCa and susceptibility to false positives. Non-FDA-approved markers show promise but often exhibit inconsistent performance and low reproducibility. To date, no urinary marker has replaced cystoscopy for the detection of low-grade BCa. However, panel tests that assess multiple genomic or transcriptomic targets demonstrate high sensitivity for high-grade BCa, thereby potentially reducing the need for cystoscopy. The feasibility of implementing these panel tests depends on cost reduction. In addition, while noninvasive liquid biopsy holds the potential for early BC diagnosis, precise drug administration, disease monitoring, and predictive assessment, large-scale clinical trials are essential to validate its clinical effectiveness (Fig. 1).

NOTES

Grant/Fund Support
This study was supported by a grant from the National Research Foundation (NRF), funded by the Korean Government (Ministry of Science and ICT) under Grant numbers RS-2023-00211812.
Conflict of Interest
No potential conflict of interest relevant to this article was reported.
AUTHOR CONTRIBUTION STATEMENT
· Conceptualization: JS, YK, SK, HGK, EMK, AK
· Funding acquisition: AK
· Project administration: AK
· Visualization: JS, AK
· Writing - original draft: JS, EMK, AK
· Writing - review & editing: JS, EMK, AK

REFERENCES

1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 Countries. CA Cancer J Clin 2021;71:209-49. PMID: 33538338
crossref pmid pdf
2. Tran L, Xiao JF, Agarwal N, Duex JE, Theodorescu D. Advances in bladder cancer biology and therapy. Nat Rev Cancer 2021;21:104-21. PMID: 33268841
crossref pmid pmc pdf
3. Cumberbatch MGK, Foerster B, Catto JWF, Kamat AM, Kassouf W, Jubber I, et al. Repeat transurethral resection in non-muscleinvasive bladder cancer: a systematic review. Eur Urol 2018;73:925-33. PMID: 29523366
crossref pmid
4. Zhu CZ, Ting HN, Ng KH, Ong TA. A review on the accuracy of bladder cancer detection methods. J Cancer 2019;10:4038-44. PMID: 31417648
crossref pmid pmc
5. Babjuk M, Burger M, Compérat EM, Gontero P, Mostafid AH, Palou J, et al. European Association of Urology Guidelines on Non-muscle-invasive Bladder Cancer (TaT1 and Carcinoma In Situ) - 2019 Update. Eur Urol 2019;76:639-57. PMID: 31443960
crossref pmid
6. Svatek RS, Hollenbeck BK, Holmäng S, Lee R, Kim SP, Stenzl A, et al. The economics of bladder cancer: costs and considerations of caring for this disease. Eur Urol 2014;66:253-62. PMID: 24472711
crossref pmid
7. Kim J, Kim WT, Kim WJ. Advances in urinary biomarker discovery in urological research. Investig Clin Urol 2020;61(Suppl 1):S8-22. PMID: 32055750
crossref pmid pmc pdf
8. He D, Zeng C, Brinkley BR. Nuclear matrix proteins as structural and functional components of the mitotic apparatus. Int Rev Cytol 1995;162B:1-74. PMID: 8557485
crossref pmid
9. Cho YH, Jung SI, Hwang EC. Novel and emerging surveillance markers for bladder cancer. In: Ku JH, editor. Bladder cancer. Cambridge (MA): Academic Press; 2018. pp. 599-612.
10. Hatzichristodoulou G, Kübler H, Schwaibold H, Wagenpfeil S, Eibauer C, Hofer C, et al. Nuclear matrix protein 22 for bladder cancer detection: comparative analysis of the BladderChek® and ELISA. Anticancer Res 2012;32:5093-7. PMID: 23155286
pmid
11. Wang Z, Que H, Suo C, Han Z, Tao J, Huang Z, et al. Evaluation of the NMP22 BladderChek test for detecting bladder cancer: a systematic review and meta-analysis. Oncotarget 2017;8:100648-56. PMID: 29246009
crossref pmid pmc
12. Lokeshwar VB, Schroeder GL, Selzer MG, Hautmann SH, Posey JT, Duncan RC, et al. Bladder tumor markers for monitoring recurrence and screening comparison of hyaluronic acid-hyaluronidase and BTA-Stat tests. Cancer 2002;95:61-72. PMID: 12115318
crossref pmid
13. Sarosdy MF, Hudson MA, Ellis WJ, Soloway MS, deVere White R, Sheinfeld J, et al. Improved detection of recurrent bladder cancer using the Bard BTA stat Test. Urology 1997;50:349-53. PMID: 9301696
crossref pmid
14. Pode D, Shapiro A, Wald M, Nativ O, Laufer M, Kaver I. Noninvasive detection of bladder cancer with the BTA stat test. J Urol 1999;161:443-6. PMID: 9915422
crossref pmid
15. Ellis WJ, Blumenstein BA, Ishak LM, Enfield DL. Clinical evaluation of the BTA TRAK assay and comparison to voided urine cytology and the Bard BTA test in patients with recurrent bladder tumors. The Multi Center Study Group. Urology 1997;50:882-7. PMID: 9426718
crossref pmid
16. Mian C, Pycha A, Wiener H, Haitel A, Lodde M, Marberger M. Immunocyt: a new tool for detecting transitional cell cancer of the urinary tract. J Urol 1999;161:1486-9. PMID: 10210378
pmid
17. Allard P, Fradet Y, Têtu B, Bernard P. Tumor-associated antigens as prognostic factors for recurrence in 382 patients with primary transitional cell carcinoma of the bladder. Clin Cancer Res 1995;1:1195-202. PMID: 9815912
pmid
18. Têtu B, Tiguert R, Harel F, Fradet Y. ImmunoCyt/uCyt+ improves the sensitivity of urine cytology in patients followed for urothelial carcinoma. Mod Pathol 2005;18:83-9. PMID: 15389253
crossref pmid pdf
19. Pfister C, Chautard D, Devonec M, Perrin P, Chopin D, Rischmann P, et al. Immunocyt test improves the diagnostic accuracy of urinary cytology: results of a French multicenter study. J Urol 2003;169:921-4. PMID: 12576813
crossref pmid
20. Laudadio J, Keane TE, Reeves HM, Savage SJ, Hoda RS, Lage JM, et al. Fluorescence in situ hybridization for detecting transitional cell carcinoma: implications for clinical practice. BJU Int 2005;96:1280-5. PMID: 16287445
crossref pmid
21. Friedrich MG, Toma MI, Hellstern A, Pantel K, Weisenberger DJ, Noldus J, et al. Comparison of multitarget fluorescence in situ hybridization in urine with other noninvasive tests for detecting bladder cancer. BJU Int 2003;92:911-4. PMID: 14632845
crossref pmid
22. Hajdinjak T. UroVysion FISH test for detecting urothelial cancers: meta-analysis of diagnostic accuracy and comparison with urinary cytology testing. Urol Oncol 2008;26:646-51. PMID: 18367109
crossref pmid
23. Dimashkieh H, Wolff DJ, Smith TM, Houser PM, Nietert PJ, Yang J. Evaluation of urovysion and cytology for bladder cancer detection: a study of 1835 paired urine samples with clinical and histologic correlation. Cancer Cytopathol 2013;121:591-7. PMID: 23801650
pmid pmc
24. Vasseur A, Kiavue N, Bidard FC, Pierga JY, Cabel L. Clinical utility of circulating tumor cells: an update. Mol Oncol 2021;15:1647-66. PMID: 33289351
crossref pmid pmc pdf
25. Li S, Xin K, Pan S, Wang Y, Zheng J, Li Z, et al. Blood-based liquid biopsy: insights into early detection, prediction, and treatment monitoring of bladder cancer. Cell Mol Biol Lett 2023;28:28. PMID: 37016296
crossref pmid pmc pdf
26. Qi F, Liu Y, Zhao R, Zou X, Zhang L, Li J, et al. Quantitation of rare circulating tumor cells by folate receptor α ligand-targeted PCR in bladder transitional cell carcinoma and its potential diagnostic significance. Tumour Biol 2014;35:7217-23. PMID: 24771263
crossref pmid pdf
27. Khetrapal P, Lee MWL, Tan WS, Dong L, de Winter P, Feber A, et al. The role of circulating tumour cells and nucleic acids in blood for the detection of bladder cancer: a systematic review. Cancer Treat Rev 2018;66:56-63. PMID: 29684744
crossref pmid
28. Gires O, Pan M, Schinke H, Canis M, Baeuerle PA. Expression and function of epithelial cell adhesion molecule EpCAM: where are we after 40 years? Cancer Metastasis Rev 2020;39:969-87. PMID: 32507912
crossref pmid pmc pdf
29. Brunner A, Prelog M, Verdorfer I, Tzankov A, Mikuz G, Ensinger C. EpCAM is predominantly expressed in high grade and advanced stage urothelial carcinoma of the bladder. J Clin Pathol 2008;61:307-10. PMID: 17586680
crossref pmid
30. van der Fels CAM, Rosati S, de Jong IJ. EpCAM Expression in lymph node metastases of urothelial cell carcinoma of the bladder: a pilot study. Int J Mol Sci 2017;18:1802. PMID: 28820475
crossref pmid pmc
31. Rink M, Schwarzenbach H, Riethdorf S, Soave A. The current role and future directions of circulating tumor cells and circulating tumor DNA in urothelial carcinoma of the bladder. World J Urol 2019;37:1785-99. PMID: 30367205
crossref pmid pdf
32. Soria F, Krabbe LM, Todenhöfer T, Dobruch J, Mitra AP, Inman BA, et al. Molecular markers in bladder cancer. World J Urol 2019;37:31-40. PMID: 30259123
crossref pmid pmc pdf
33. Gazzaniga P, de Berardinis E, Raimondi C, Gradilone A, Busetto GM, De Falco E, et al. Circulating tumor cells detection has independent prognostic impact in high-risk non-muscle invasive bladder cancer. Int J Cancer 2014;135:1978-82. PMID: 24599551
crossref pmid
34. Abrahamsson J, Aaltonen K, Engilbertsson H, Liedberg F, Patschan O, Rydén L, et al. Circulating tumor cells in patients with advanced urothelial carcinoma of the bladder: association with tumor stage, lymph node metastases, FDG-PET findings, and survival. Urol Oncol 2017;35:606.e9-16. PMID: 28676151
crossref pmid
35. Haga N, Tsubouchi K, Maruta H, Koguchi T, Hoshi S, Ogawa S, et al. Increase in circulating tumor cells in invasive bladder cancer after transurethral resection of bladder tumor. Anticancer Res 2020;40:4299-307. PMID: 32727757
crossref pmid
36. Song P, Wu LR, Yan YH, Zhang JX, Chu T, Kwong LN, et al. Limitations and opportunities of technologies for the analysis of cellfree DNA in cancer diagnostics. Nat Biomed Eng 2022;6:232-45. PMID: 35102279
crossref pmid pmc pdf
37. Wang XS, Zhao MQ, Zhang L, Kong DJ, Ding XZ, Hu XC, et al. Cell-free DNA in blood and urine as a diagnostic tool for bladder cancer: a meta-analysis. Am J Transl Res 2018;10:1935-48. PMID: 30093933
pmid pmc
38. Oxnard GR, Paweletz CP, Sholl LM. Genomic analysis of plasma Cell-Free DNA in patients with cancer. JAMA Oncol 2017;3:740-1. PMID: 27541382
crossref pmid
39. Husain H, Velculescu VE. Cancer DNA in the circulation: the liquid biopsy. JAMA 2017;318:1272-4. PMID: 28973237
crossref pmid pmc
40. Jordahl KM, Randolph TW, Song X, Sather CL, Tinker LF, Phipps AI, et al. Genome-wide dna methylation in prediagnostic blood and bladder cancer risk in the women’s health initiative. Cancer Epidemiol Biomarkers Prev 2018;27:689-95. PMID: 29540343
crossref pmid pmc pdf
41. Valenzuela MT, Galisteo R, Zuluaga A, Villalobos M, Núñez MI, Oliver FJ, et al. Assessing the use of p16(INK4a) promoter gene methylation in serum for detection of bladder cancer. Eur Urol 2002;42:622-8 discussion 628-30. PMID: 12477660
crossref pmid
42. Ellinger J, El Kassem N, Heukamp LC, Matthews S, Cubukluoz F, Kahl P, et al. Hypermethylation of cell-free serum DNA indicates worse outcome in patients with bladder cancer. J Urol 2008;179:346-52. PMID: 18006010
crossref pmid
43. Millis SZ, Bryant D, Basu G, Bender R, Vranic S, Gatalica Z, et al. Molecular profiling of infiltrating urothelial carcinoma of bladder and nonbladder origin. Clin Genitourin Cancer 2015;13:e37-49. PMID: 25178641
crossref pmid
44. Vandekerkhove G, Todenhöfer T, Annala M, Struss WJ, Wong A, Beja K, et al. Circulating tumor DNA reveals clinically actionable somatic genome of metastatic bladder cancer. Clin Cancer Res 2017;23:6487-97. PMID: 28760909
crossref pmid pdf
45. Patel KM, van der Vos KE, Smith CG, Mouliere F, Tsui D, Morris J, et al. Association of plasma and urinary mutant dna with clinical outcomes in muscle invasive bladder cancer. Sci Rep 2017;7:5554. PMID: 28717136
crossref pmid pmc pdf
46. Vandekerkhove G, Lavoie JM, Annala M, Murtha AJ, Sundahl N, Walz S, et al. Plasma ctDNA is a tumor tissue surrogate and enables clinical-genomic stratification of metastatic bladder cancer. Nat Commun 2021;12:184. PMID: 33420073
crossref pmid pmc pdf
47. Green EA, Li R, Albiges L, Choueiri TK, Freedman M, Pal S, et al. Clinical utility of cell-free and circulating tumor dna in kidney and bladder cancer: a critical review of current literature. Eur Urol Oncol 2021;4:893-903. PMID: 33975782
crossref pmid
48. Mai S, Zhang Z, Mi W. Upregulation of circ_PVT1 and circ_001569 indicate unfavorable prognosis in colorectal cancer. Ann Clin Lab Sci 2021;51:55-60. PMID: 33653781
pmid
49. Jiang X, Du L, Wang L, Li J, Liu Y, Zheng G, et al. Serum microRNA expression signatures identified from genome-wide microRNA profiling serve as novel noninvasive biomarkers for diagnosis and recurrence of bladder cancer. Int J Cancer 2015;136:854-62. PMID: 24961907
crossref pmid
50. Feng Y, Liu J, Kang Y, He Y, Liang B, Yang P, et al. miR-19a acts as an oncogenic microRNA and is up-regulated in bladder cancer. J Exp Clin Cancer Res 2014;33:67. PMID: 25107371
crossref pmid pmc pdf
51. Motawi TK, Rizk SM, Ibrahim TM, Ibrahim IA. Circulating microRNAs, miR-92a, miR-100 and miR-143, as non-invasive biomarkers for bladder cancer diagnosis. Cell Biochem Funct 2016;34:142-8. PMID: 26916216
crossref pmid
52. Usuba W, Urabe F, Yamamoto Y, Matsuzaki J, Sasaki H, Ichikawa M, et al. Circulating miRNA panels for specific and early detection in bladder cancer. Cancer Sci 2019;110:408-19. PMID: 30382619
crossref pmid pmc pdf
53. Marín-Aguilera M, Mengual L, Ribal MJ. Utility of urothelial mRNA markers in blood for staging and monitoring bladder cancer. Urology 2012;79:240.e9-15. PMID: 22055693
crossref pmid
54. Gazzaniga P, Gandini O, Giuliani L, Magnanti M, Gradilone A, Silvestri I, et al. Detection of epidermal growth factor receptor mRNA in peripheral blood: a new marker of circulating neoplastic cells in bladder cancer patients. Clin Cancer Res 2001;7:577-83. PMID: 11297251
pmid
55. Angulo JC, Ferruelo A, Rodríguez-Barbero JM, Núñez C, de Fata FR, González J. Detección y estadificación molecular del cáncer vesical mediante RT-PCR a tiempo real para gelatinasas (MMP-2, MMP-9) y TIMP-2 en sangre periférica [Detection and molecular staging of bladder cancer using real-time RT-PCR for gelatinases (MMP-2, MMP-9) and TIMP-2 in peripheral blood]. Actas Urol Esp 2011;35:127-36. PMID: 21334102
pmid
56. Caby MP, Lankar D, Vincendeau-Scherrer C, Raposo G, Bonnerot C. Exosomal-like vesicles are present in human blood plasma. Int Immunol 2005;17:879-87. PMID: 15908444
crossref pmid
57. Georgantzoglou N, Pergaris A, Masaoutis C, Theocharis S. Extracellular vesicles as biomarkers carriers in bladder cancer: diagnosis, surveillance, and treatment. Int J Mol Sci 2021;22:2744. PMID: 33803085
crossref pmid pmc
58. Kalluri R, LeBleu VS. The biology, function, and biomedical applications of exosomes. Science 2020;367:eaau6977. PMID: 32029601
pmid pmc
59. Wang J, Yang K, Yuan W, Gao Z. Determination of serum exosomal h19 as a noninvasive biomarker for bladder cancer diagnosis and prognosis. Med Sci Monit 2018;24:9307-16. PMID: 30576305
crossref pmid pmc
60. Xue M, Chen W, Xiang A, Wang R, Chen H, Pan J, et al. Hypoxic exosomes facilitate bladder tumor growth and development through transferring long non-coding RNA-UCA1. Mol Cancer 2017;16:143. PMID: 28841829
crossref pmid pmc pdf
61. Zheng R, Du M, Wang X, Xu W, Liang J, Wang W, et al. Exosometransmitted long non-coding RNA PTENP1 suppresses bladder cancer progression. Mol Cancer 2018;17:143. PMID: 30285771
crossref pmid pmc pdf
62. Zhang S, Du L, Wang L, Jiang X, Zhan Y, Li J, et al. Evaluation of serum exosomal LncRNA-based biomarker panel for diagnosis and recurrence prediction of bladder cancer. J Cell Mol Med 2019;23:1396-405. PMID: 30467945
pmid
63. Yin X, Zheng X, Liu M, Wang D, Sun H, Qiu Y, et al. Exosomal miR-663b targets Ets2-repressor factor to promote proliferation and the epithelial-mesenchymal transition of bladder cancer cells. Cell Biol Int 2020;44:958-65. PMID: 31872468
crossref pmid pdf
64. Yan L, Li Q, Sun K, Jiang F. MiR-4644 is upregulated in plasma exosomes of bladder cancer patients and promotes bladder cancer progression by targeting UBIAD1. Am J Transl Res 2020;12:6277-89. PMID: 33194029
pmid pmc
65. Li Q, Huyan T, Cai S, Huang Q, Zhang M, Peng H, et al. The role of exosomal miR-375-3p: a potential suppressor in bladder cancer via the Wnt/β-catenin pathway. FASEB J 2020;34:12177-96. PMID: 32716585
crossref pmid pdf
66. Cai X, Qu L, Yang J, Xu J, Sun L, Wei X, et al. Exosome-transmitted microRNA-133b inhibited bladder cancer proliferation by upregulating dual-specificity protein phosphatase 1. Cancer Med 2020;9:6009-19. PMID: 32627968
crossref pmid pmc pdf
67. Sabo AA, Birolo G, Naccarati A, Dragomir MP, Aneli S, Allione A, et al. Small non-coding RNA profiling in plasma extracellular vesicles of bladder cancer patients by next-generation sequencing: expression levels of miR-126-3p and piR-5936 increase with higher histologic grades. Cancers (Basel) 2020;12:1507. PMID: 32527011
crossref pmid pmc
68. Kumar A, Misra BB. Challenges and opportunities in cancer metabolomics. Proteomics 2019;19:e1900042. PMID: 30950571
crossref pmid pdf
69. Graça G, Lau CE, Gonçalves LG. Exploring cancer metabolism: applications of metabolomics and metabolic phenotyping in cancer research and diagnostics. Adv Exp Med Biol 2020;1219:367-85. PMID: 32130709
pmid
70. Bansal N, Gupta A, Mitash N, Shakya PS, Mandhani A, Mahdi AA, et al. Low- and high-grade bladder cancer determination via human serum-based metabolomics approach. J Proteome Res 2013;12:5839-50. PMID: 24219689
crossref pmid
71. Tan G, Wang H, Yuan J, Qin W, Dong X, Wu H, et al. Three serum metabolite signatures for diagnosing low-grade and highgrade bladder cancer. Sci Rep 2017;7:46176. PMID: 28382976
crossref pmid pmc pdf
72. Ossoliński K, Ruman T, Copié V, Tripet BP, Nogueira LB, Nogueira KOPC, et al. Metabolomic and elemental profiling of blood serum in bladder cancer. J Pharm Anal 2022;12:889-900. PMID: 36605581
crossref pmid pmc
73. Bansal N, Gupta A, Sankhwar SN, Mahdi AA. Low- and highgrade bladder cancer appraisal via serum-based proteomics approach. Clin Chim Acta 2014;436:97-103. PMID: 24875752
crossref pmid
74. Bansal N, Gupta AK, Gupta A, Sankhwar SN, Mahdi AA. Serum-based protein biomarkers of bladder cancer: a pre- and post-operative evaluation. J Pharm Biomed Anal 2016;124:22-5. PMID: 26922578
crossref pmid
75. Elamin AA, Klunkelfuß S, Kämpfer S, Oehlmann W, Stehr M, Smith C, et al. A Specific Blood Signature Reveals Higher Levels of S100A12: A Potential bladder cancer diagnostic biomarker along with urinary engrailed-2 protein detection. Front Oncol 2020;9:1484. PMID: 31993369
crossref pmid pmc
76. Allione A, Pardini B, Viberti C, Giribaldi G, Turini S, Di Gaetano C, et al. MMP23B expression and protein levels in blood and urine are associated with bladder cancer. Carcinogenesis 2018;39:1254-63. PMID: 30052775
crossref pmid
77. López-Cortés R, Gómez BB, Vázquez-Estévez S, Pérez-Fentes D, Núñez C. Blood-based protein biomarkers in bladder urothelial tumors. J Proteomics 2021;247:104329. PMID: 34298186
crossref pmid
78. Roperch JP, Hennion C. A novel ultra-sensitive method for the detection of FGFR3 mutations in urine of bladder cancer patients - Design of the Urodiag® PCR kit for surveillance of patients with non-muscle-invasive bladder cancer (NMIBC). BMC Med Genet 2020;21:112. PMID: 32448160
crossref pmid pmc pdf
79. Dahmcke CM, Steven KE, Larsen LK, Poulsen AL, Abdul-Al A, Dahl C, et al. A prospective blinded evaluation of urine-dna testing for detection of urothelial bladder carcinoma in patients with gross hematuria. Eur Urol 2016;70:916-9. PMID: 27417036
crossref pmid
80. van Kessel KE, Beukers W, Lurkin I, Ziel-van der Made A, van der Keur KA, Boormans JL, et al. Validation of a DNA methylation-mutation urine assay to select patients with hematuria for cystoscopy. J Urol 2017;197(3 Pt 1):590-5. PMID: 27746284
crossref pmid
81. Catto JW, Azzouzi AR, Rehman I, Feeley KM, Cross SS, Amira N, et al. Promoter hypermethylation is associated with tumor location, stage, and subsequent progression in transitional cell carcinoma. J Clin Oncol 2005;23:2903-10. PMID: 15753461
crossref pmid
82. Esteller M. Epigenetics in cancer. N Engl J Med 2008;358:1148-59. PMID: 18337604
crossref pmid
83. Kandimalla R, van Tilborg AA, Zwarthoff EC. DNA methylationbased biomarkers in bladder cancer. Nat Rev Urol 2013;10:327-35. PMID: 23628807
crossref pmid pdf
84. van der Heijden AG, Mengual L, Ingelmo-Torres M, Lozano JJ, van Rijt-van de Westerlo CCM, Baixauli M, et al. Urine cell-based DNA methylation classifier for monitoring bladder cancer. Clin Epigenetics 2018;10:71. PMID: 29854012
pmid pmc
85. Renard I, Joniau S, van Cleynenbreugel B, Collette C, Naômé C, Vlassenbroeck I, et al. Identification and validation of the methylated TWIST1 and NID2 genes through real-time methylationspecific polymerase chain reaction assays for the noninvasive detection of primary bladder cancer in urine samples. Eur Urol 2010;58:96-104. PMID: 19674832
crossref pmid
86. Su SF, de Castro Abreu AL, Chihara Y, Tsai Y, Andreu-Vieyra C, Daneshmand S, et al. A panel of three markers hyper- and hypomethylated in urine sediments accurately predicts bladder cancer recurrence. Clin Cancer Res 2014;20:1978-89. PMID: 24691641
crossref pmid pdf
87. Hauser S, Kogej M, Fechner G, VON Pezold J, Vorreuther R, Lümmen G, et al. Serum DNA hypermethylation in patients with bladder cancer: results of a prospective multicenter study. Anticancer Res 2013;33:779-84. PMID: 23482744
pmid
88. Feber A, Dhami P, Dong L, de Winter P, Tan WS, Martínez-Fernández M, et al. UroMark-a urinary biomarker assay for the detection of bladder cancer. Clin Epigenetics 2017;9:8. PMID: 28163793
crossref pmid pmc pdf
89. Springer SU, Chen CH, Rodriguez Pena MDC, Li L, Douville C, Wang Y, et al. Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy. Elife 2018;7:e32143. PMID: 29557778
pmid pmc
90. Beukers W, van der Keur KA, Kandimalla R, Vergouwe Y, Steyerberg EW, Boormans JL, et al. FGFR3, TERT and OTX1 as a urinary biomarker combination for surveillance of patients with bladder cancer in a large prospective multicenter study. J Urol 2017;197:1410-8. PMID: 28049011
crossref pmid
91. Birkenkamp-Demtröder K, Nordentoft I, Christensen E, Høyer S, Reinert T, Vang S, et al. Genomic alterations in liquid biopsies from patients with bladder cancer. Eur Urol 2016;70:75-82. PMID: 26803478
crossref pmid
92. Togneri FS, Ward DG, Foster JM, Devall AJ, Wojtowicz P, Alyas S, et al. Genomic complexity of urothelial bladder cancer revealed in urinary cfDNA. Eur J Hum Genet 2016;24:1167-74. PMID: 26757983
crossref pmid pmc pdf
93. Ou Z, Li K, Yang T, Dai Y, Chandra M, Ning J, et al. Detection of bladder cancer using urinary cell-free DNA and cellular DNA. Clin Transl Med 2020;9:4. PMID: 31938901
crossref pmid pmc pdf
94. Chauhan PS, Shiang A, Alahi I, Sundby RT, Feng W, Gungoren B, et al. Urine cell-free DNA multi-omics to detect MRD and predict survival in bladder cancer patients. NPJ Precis Oncol 2023;7:6. PMID: 36658307
crossref pmid pmc pdf
95. Babu S, Mockler DC, Roa-Peña L, Szygalowicz A, Kim NW, Jahanfard S, et al. Keratin 17 is a sensitive and specific biomarker of urothelial neoplasia. Mod Pathol 2019;32:717-24. PMID: 30443013
crossref pmid pdf
96. Fouad H, Salem H, Ellakwa DE, Abdel-Hamid M. MMP-2 and MMP-9 as prognostic markers for the early detection of urinary bladder cancer. J Biochem Mol Toxicol 2019;33:e22275. PMID: 30548095
crossref pmid pdf
97. Zhou BF, Wei JH, Chen ZH, Dong P, Lai YR, Fang Y, et al. Identification and validation of AIB1 and EIF5A2 for noninvasive detection of bladder cancer in urine samples. Oncotarget 2016;7:41703-14. PMID: 27203388
crossref pmid pmc
98. Huang H, Du J, Jin B, Pang L, Duan N, Huang C, et al. Combination of urine exosomal mRNAs and lncRNAs as novel diagnostic biomarkers for bladder cancer. Front Oncol 2021;11:667212. PMID: 33987102
crossref pmid pmc
99. Lee DH, Yoon H, Park S, Kim JS, Ahn YH, Kwon K, et al. Urinary exosomal and cell-free DNA detects somatic mutation and copy number alteration in urothelial carcinoma of bladder. Sci Rep 2018;8:14707. PMID: 30279572
crossref pmid pmc pdf
100. Zhou X, Kurywchak P, Wolf-Dennen K, Che SPY, Sulakhe D, D’Souza M, et al. Unique somatic variants in DNA from urine exosomes of individuals with bladder cancer. Mol Ther Methods Clin Dev 2021;22:360-76. PMID: 34514028
crossref pmid pmc
101. Lin JY, Juo BR, Yeh YH, Fu SH, Chen YT, Chen CL, et al. Putative markers for the detection of early-stage bladder cancer selected by urine metabolomics. BMC Bioinformatics 2021;22:305. PMID: 34090341
crossref pmid pmc pdf
102. Wang R, Kang H, Zhang X, Nie Q, Wang H, Wang C, et al. Urinary metabolomics for discovering metabolic biomarkers of bladder cancer by UPLC-MS. BMC Cancer 2022;22:214. PMID: 35220945
crossref pmid pmc pdf
103. Zhou Y, Song R, Ma C, Zhou L, Liu X, Yin P, et al. Discovery and validation of potential urinary biomarkers for bladder cancer diagnosis using a pseudotargeted GC-MS metabolomics method. Oncotarget 2017;8:20719-28. PMID: 28157703
crossref pmid pmc

Fig. 1.
General schematic diagram of the diagnosis for bladder cancer.
inj-2448198-099f1.jpg
Table 1.
Selected ongoing clinical trials of liquid biopsy for bladder cancer (2019–2024)
NCT No. Study title Study status Sex Age Enrollment Study type Locations
NCT04167332 Prospective Collection of Samples for Urothelial Cancer of Bladder Not_yet_ recruiting All Adult, older_adult 630 Observational Belgium
NCT04155359 Clinical Evaluation of the miR Sentinel BCa Test to Diagnose Bladder Cancer in Hematuria Patients Active_not_ recruiting All Adult, older_adult 444 Observational USA
NCT04806334 Radiogenomics of Muscle Invasive Bladder Cancer Active_not_ recruiting All Adult, older_adult 11 Interventional USA
NCT05193656 Bladder Cancer Detection Using Convolutional Neural Networks Recruiting All Child, adult, older_adult 5,000 Observational Denmark
NCT04579224 Comparing the New Anti-cancer Drug Eribulin with or Without Chemotherapy Against the Usual Chemotherapy Alone in Metastatic Urothelial Cancer Recruiting All Adult, older_adult 170 Interventional USA
NCT05028660 AURORAX-0093A: Glycosaminoglycan Profiling for Prognostication of Muscle-invasive Bladder Cancer - a Pilot Study Recruiting All Adult, older_adult 76 Observational Sweden
NCT05151341 Study of Combined VisioCyt Test and FGFR3 Mutations on a Urinary Sample to Diagnose Bladder Tumors Recruiting All Adult, older_adult 190 Interventional France
NCT05220189 PENK Methylation Test for Detecting Bladder Cancer Recruiting All Adult, older_adult 1,549 Observational Korea
NCT06109857 Bladder Bank (a Prospective Banking Study) Recruiting All Adult, older_adult 500 Observational USA
NCT05643690 Urine Sample Collection for Validation of the AnchorDx UriFind Bladder Cancer Assay Recruiting All Adult, older_adult 100 Observational USA
NCT04936230 Immunotherapy With or Without Radiation Therapy for Metastatic Urothelial Cancer Recruiting All Adult, older_adult 144 Interventional USA
NCT05672615 Mood Alterations in the Patients with Non-Muscle Invasive Bladder Cancer Treated With BCG Recruiting All Adult, older_adult 42 Observational USA
NCT05463796 InAdvance: Surveillance, Prevention, and Interception in a Population at Risk for Cancer Recruiting All Child, adult, older_adult 5,000 Observational USA
NCT05646485 Bladder Cancer Screening Trial Recruiting All Adult, older_adult 1,000 Interventional USA
NCT06026189 Safely Reduce Cystoscopic Evaluations for Hematuria Patients Recruiting All Child, adult, older_adult 1,100 Interventional Netherlands

NCT, National Clinical Trial number.

TOOLS
Share :
Facebook Twitter Linked In Google+
METRICS Graph View
  • 0 Crossref
  • 0 Scopus
  • 386 View
  • 23 Download
We recommend


ARTICLE & ORGAN
Article Category

Browse all articles >

Organ

Browse all articles >

ISSUES
DISEASES & TOPICS
Diseases

Browse all articles >

Topics

Browse all articles >

AUTHOR
INFORMATION

Official Journal of Korean Continence Society & ESSIC (International Society for the Study of BPS) & Korean Society of Urological Research & The Korean Children’s Continence and Enuresis Society & The Korean Association of Urogenital Tract Infection and Inflammation & Korean Society of Geriatric Urological Care
Editorial Office
Department of Urology, Kangbuk Samsung Medical Center, Sungkyunkwan University School of Medicine,
29 Saemunan-ro, Jongno-gu, Seoul 03181, Korea
Tel: +82-2-2001-2237     Fax: +82-2-2001-2247    E-mail: choys1011@naver.com

Copyright © 2024 by Korean Continence Society.

Developed in M2PI

Close layer
prev next