Literature DB >> 28035318

Circulating Biomarkers in Bladder Cancer.

Lakshminarayanan Nandagopal1, Guru Sonpavde1.   

Abstract

Bladder cancer is a molecularly heterogeneous disease characterized by multiple unmet needs in the realm of diagnosis, clinical staging, monitoring and therapy. There is an urgent need to develop precision medicine for advanced urothelial carcinoma. Given the difficulty of serial analyses of metastatic tumor tissue to identify resistance and new therapeutic targets, development of non-invasive monitoring using circulating molecular biomarkers is critically important. Although the development of circulating biomarkers for the management of bladder cancer is in its infancy and may currently suffer from lower sensitivity of detection, they have inherent advantages owing to non-invasiveness. Additionally, circulating molecular alterations may capture tumor heterogeneity without the sampling bias of tissue biopsy. This review describes the accumulating data to support further development of circulating biomarkers including circulating tumor cells, cell-free circulating tumor (ct)-DNA, RNA, micro-RNA and proteomics to improve the management of bladder cancer.

Entities:  

Keywords:  Bladder cancer; biomarkers; circulating

Year:  2016        PMID: 28035318      PMCID: PMC5181678          DOI: 10.3233/BLC-160075

Source DB:  PubMed          Journal:  Bladder Cancer


INTRODUCTION

Bladder cancer is the sixth most cancer in the united states and an estimated 75,000 new cases of urinary bladder cancer will be diagnosed in 2016 [1]. The median age of diagnosis is 73 years with two-thirds of cases occurring in men, making medical comorbidities a significant factor influencing patient management [2]. It lags behind other solid organ cancers with one of the lowest increases in 5-year survival in recent decades. A majority of new cases are non-muscle invasive bladder cancer (NMIBC) with tumors largely confined to the mucosa (Ta-70%) or less often the submucosa (T1-20–25%) or flat high grade lesions/Carcinoma in situ (CIS-5–10%) [3]. The natural history of NMIBC is characterized by a tendency to recur locally as a  function of stage, grade, size and multiplicity. Thus, NMIBC remains one of the few examples of a malignancy where serial tumor profiling separated by time is feasible due to repeated cystoscopic biopsies and resections [4]. For the treatment of muscle invasive bladder cancer (MIBC), neoadjuvant cisplatin based combination chemotherapy followed by radical cystectomy (RC) is proven to prolong survival [5, 6]. Adjuvant cisplatin-based combination therapy is considered reasonable in those with extra-vesical or node positive disease following RC, in those who have not received neoadjuvant therapy [7]. Maximal cystoscopic resection followed by concurrent chemoradiotherapy allows bladder preservation in selected patients based on tumor and patient characteristics [8]. However, long-term survival and cure remain elusive for most patients with extra-vesical or node positive disease at the time of RC. Moreover, clinical staging is suboptimal, with approximately 30–50% of cT2N0 patients upstaged at the time of RC [9]. The overall survival for advanced disease remains abysmal even with optimal first line cisplatin-based combination chemotherapy. The median overall survival (OS) is approximately 15 months, with 5-year OS rate of approximately 5% [10]. Moreover, the majority of patients do not receive cisplatin-based chemotherapy, partly due to renal dysfunction, poor performance status (PS) ≥ 2 or comorbidities (cardiac dysfunction, neuropathy, hearing loss) [11, 12]. Second-line and salvage systemic chemotherapy with taxanes or vinflunine yields even more dismal outcomes with a median OS of 6 to 8 months [13]. Recently, atezolizumab, a programmed death (PD)-ligand (L)-1 inhibitor, has been added to the therapeutic armamentarium for post-platinum therapy [14]. However, the median OS with atezolizumab remains around 8 months and overall response rate (ORR) is approximately 15%, although the excellent tolerability and duration of response represent a major advance for these patients. All of the regimens above have been developed in unselected patients. There is an urgent need for newer agents to provide large increments of outcomes in appropriately selected patients, i.e. precision medicine. Given the difficulty of serial analyses of metastatic tumor tissue to study evolving mechanisms of resistance and new therapeutic targets, the development of non-invasively obtained circulating biomarkers for molecular tumor profiling is a priority. Moreover, early detection and clinical staging are suboptimal with currently employed modalities. Hence, there is an urgent need to identify superior non-invasive molecular tools for bladder cancer detection, staging, surveillance and therapy. This review will provide an overview of circulating biomarkers to enhance therapy for UC (Fig. 1).
Fig.1

Potential circulating biomarkers. Potential circulating biomarkers for the management of bladder cancer including CTCs (circulating tumor cells) for enumeration and profiling, DNA, RNA, miRNA and protein (levels, metabolomics and spectrometry).

CURRENTLY EMPLOYED CLINICAL AND LABORATORY PROGNOSTIC FACTORS

Risk stratification of patients based on traditional laboratory and clinical markers has been reported in several studies. The importance of stage, grade, multiplicity and prior recurrences is recognized in NMIBC [15]. Similarly, in the MIBC setting, pathologic stage confers a major prognostic impact [16]. In the first-line cisplatin-based chemotherapy setting, PS and visceral metastasis were identified to confer poor prognosis almost 2 decades ago [17]. Thereafter, a couple of other first-line models have further refined prognostication by the addition of other variables such as albumin, hemoglobin and leukocytosis [18, 19]. In the salvage therapy context, PS, hemoglobin and liver metastasis were described to be major adverse prognostic factors. This model has also been enhanced by the addition of treatment-free interval and albumin as additional prognostic factors [20, 21].

CURRENTLY APPROVED AND EMERGING NON-INVASIVE URINARY BIOMARKERS

While there are no commercially approved circulating molecular biomarkers for use in the clinic to manage bladder cancer, multiple urinary biomarkers have been commercially approved for NMIBC detection and surveillance using mostly protein based assays and a DNA based assay [22]: BTA Stat (Polymedco), BTA Trak (Polymedco), NMP22 Bladder Cancer Test (Matritech), NMP22 BladderChek (Matritech), ImmunoCyt/uCyt+ (DiagnoCure) and UroVysion (Abbott Molecular). The BTA (bladder tumor antigens) detect human complement factor H related protein produced by bladder cancer cells, with the BTA TRAK being a quantitative assay [23] while the BTA STAT is a qualitative test [24]. The NMP (Nuclear Matrix proteins) are proteins that play an important role in the structural framework of the nucleus and are involved in DNA replication and regulation of gene expression [25]. The NMP22 Bladder Cancer test kit is quantitative, while the NMP22 BladderChek test is a qualitative assay [26, 27]. The ImmunoCyt/uCyt+ - detects exfoliated bladder cancer cells in urine using fluorescent monoclonal antibodies for a high molecular weight form of carcinoembryonic antigen and 2 bladder tumor cell–associated mucins [28]. The UroVysion test uses a multi-targeted FISH assay to identify UC related chromosomal alterations- aneuploidy for chromosomes 3,7 and 17 and loss of 9p21 locus of the p16 tumor suppressor gene [29, 30]. Unfortunately, although many of these urinary markers are quite sensitive compared with cytology, they suffer from low specificity and cannot replace cystoscopy. Other novel urinary assays with preliminary promise include DNA alteration assays in frequently mutated genes and protein assays (e.g. telomerase) [31, 32]. In one study, urinary cell free (cf)-DNA and cellular DNA was analyzed and compared to matched formalin-fixed paraffin embedded (FFPE) tumor DNA in 23 patients. Urinary DNA was highly representative of DNA derived from tumors. cfDNA from urine had a higher tumor genome border and allowed greater detection (90%) of key somatic mutations in (BRAF, KRAS, EGFR, IDH1, IDH2, PTEN, PIK3CA, NRAS and TP53) than cellular DNA from urine [32]. Additionally, mutations of telomerase reverse transcriptase (TERT) promoter have been detected in urinary cfDNA, which mirrors tumor tissue [31, 33–35].

TUMOR TISSUE ALTERATIONS TO GUIDE THERAPY FOR BLADDER CANCER

The cancer genome atlas (TCGA) network identified recurrent tumor tissue mutations in genes involved in cell-cycle regulation, chromatin regulation and kinase signaling pathways, including potential therapeutic targets in PI3K/AKT/MTOR, receptor tyrosine kinases and MAPK pathways [36]. Indeed, bladder cancer appears to demonstrate one of the highest somatic tumor mutation burdens [37]. TCGA and other groups have also identified multiple intrinsic subtypes based on gene expression profiling [38-41]. Emerging data indicate that the basal subtype may be more chemo-sensitive, the luminalsubtype may be responsive to FGFR, HER2, and HER3 inhibitors and the mesenchymal/claudin-low subtype may be responsive to T-cell checkpoint inhibitors [42]. Retrospective analysis of tumor tissue from a large phase II trial evaluating atezolizumab suggested that the expression of PD-L1, mutation burden and intrinsic subtype may be complementary and assist in the selection of patients for PD-1/PD-L1 inhibitors [43, 44]. Cisplatin-based neoadjuvant chemotherapy appears more active in patients with MIBC harboring somatic alterations of DNA repair genes (ATM, RB1, FANCC, ERBB2 and ERCC2), while the p53-like intrinsic subtype may be platinum-resistant [45-48]. Emerging data indicate that targeted agents may demonstrate substantial activity in selected populations with appropriate somatic alterations [49-52].

POTENTIAL CIRCULATING BIOMARKER PLATFORMS

Circulating tumor cells: Enumeration and profiling

Circulating tumor cells (CTCs) have long been the targets for ‘liquid biopsies’ and may provide insights into tumor tissue alterations. Conversely, CTCs are subject to the bias of selecting viable tumor cells capable of circulating in blood, and may not be representative of the entire malignancy. A major challenge has been to improve the sensitivity of CTC detection methods. As CTCs are present at very low concentrations in peripheral blood, enrichment is required prior to detection to improve sensitivity. Enrichment is based on physical or biological properties that can discriminate CTCs from normal cells in circulation. Density-based separation is based on differential migration due to differences in density, while negative enrichment uses antibody mediated removal of hematopoietic cells and other non-cancer cells in circulation. Magnetic activated cell sorting uses magnetically labeled antibodies to capture CTCs, with EpCAM commonly used for positive enrichment and is currently FDA-approved. Cell size has been used to guide separation using a filtration-based approach to isolate epithelial cells, but is limited in application due to size variations within single populations. Separation based on magnetopheretic mobility can also be used for enrichment but is limited by the targets chosen. Following enrichment, multiple techniques exist for detection. Fluorescence assisted cell sorting (FACS) uses a flow cytometry based assay resulting in high purity and ability to accommodate high flow rates of up to 50,000 cells per second. Only a limited amount of cells can be analyzed due to its throughput design, and cell viability can also be reduced. Fiber-optic array scanning technology cytometry allows analysis of larger volumes of blood, eliminating the need for enrichment and improving cell viability. Microfluidic devices which utilize electric field gradients for cell sorting or dielectreopheresis can allow single cell isolation, which has significant advantages over other cell separation methods. ISET or isolation by size of epithelial tumor cells performs filtration-based enrichment based on larger tumor cell size, followed by immunohistochemical or cytological evaluation. The Adna test utilizes reverse transcription-polymerase chain reaction (RT-PCR) to detect CTCs having tumor-associated transcripts but false positives due to contaminating nucleic acid and loss of cell viability are limitations. The microfluidic platform utilized in CTC-Chip uses EpCAM-coated micro posts to isolate target CTCs, and is currently limited to CTCs that express EpCAM. CellSearch, which is FDA approved for CTC detection in peripheral blood, uses magnetic activated cell sorting with anti-EpCAM antibodies for enrichment followed by detection using positive selection by anti-cytokeratin and negative selection by anti-CD45 (lymphocyte common antigen) fluorescent dyes. Since CellSearch uses epithelial markers, non-epithelial phenotypes or cancer cells that have undergone epithelial-mesenchymal transition (EMT) are not detectable by CellSearch and other available CTC detection methods [53]. CTCs that have undergone EMT may be potentially identified by markers such as vimentin, N-cadherin and Twist [54]. CTCs were detected in circulating blood in 44% of 33 patients with metastatic UC when using the CellSearch platform. Higher numbers of CTCs were seen in patients with greater number of metastatic sites [55]. These findings were replicated in other studies demonstrating CTCs in approximately 50% of patients with metastatic UC [56, 57]. CTCs may be more prevalent in pre-treated patients as suggested by a study of 70 patients with platinum refractory UC, in whom CTCs by CellSearch were detectable in 66%, with Her2 positive CTCs in 3 patients [58]. However, CTCs by CellSearch were detected in only 21% of 43 patients prior to undergoing RC, and did not correlate with more advanced pathological extra-vesical or node positive disease [59]. Another larger study of 100 consecutive patients undergoingRC identified preoperative CTCs by CellSearch in 23% of patients. The presence of CTCs was associated with higher risks of recurrence and cancer specific and overall mortality [60]. This study also reported high concordance between the HER2 immunohistochemistry (IHC) status of CTCs and the fluorescent in situ hybridization (FISH) gene expression status of corresponding primary tumors (14 of 22 patients, 64%) and lymph node metastases (100%). Thirteen of 16 patients (81%) with HER2-negative primary tumors also had HER2-negative CTCs, but only 1 of 4 of patients with HER2-positive primary tumors also had HER2-positive CTCs. In addition, heterogeneous HER2 expression was occasionally observed among the identified CTCs. As many as 20% of 102 patients with T1G3 NMIBC exhibited CTCs by CellSearch, which predicted decreased time to first recurrence and time to progression to muscle-invasive or metastatic disease [61]. Thus, CTCs may be useful even in NMIBC to identify those with high risk of recurrence who could potentially benefit from early systemic therapy. CTCs were found in 24 of 54 patients (44%) with T1G3 NMIBC in another study and 92% of CTCs expressed survivin [62]. Similarly, CTC positive patients exhibited shorter disease-free survival. Preliminarily, CTC profiling of bladder cancer specific cells appears feasible for MUC7, epidermal growth factor receptor (EGFR), cytokeratin-20, survivin, folate receptor α ligand and uroplakin II by RT-PCR [62-68]. Another study using a novel IsoFlux™ System microfluidic collection device appeared to demonstrate increased sensitivity to capture CTCs compared with CellSearch, and next generation sequencing could be performed for a selected panel of genes [69]. Newer methodologies to isolate a larger number of CTCs continue to be studied, which may enhance the ability to more comprehensively perform molecular profiling in most patients [70-72]. One study simultaneously assessed 2 platforms - the ScreenCell Cyto platform which uses a  size-selective enrichment method followed by central pathological review and the immunomagnetic Adna TestSelect kit to assess gene expression level of EPCAM and MUC1 by RT-PCR - in 3 cohorts of patients undergoing neoadjuvant therapy for MIBC, first line MVAC for metastatic disease and second line anti-TGFβ therapy. The combined strategy to identify CTCs showed promise in the ability to detect relapse with concordant results across bothplatforms [73]. A meta-analysis including studies evaluating all stages of disease demonstrated an overall low sensitivity of 35.1% for the detection of CTCs using mostly PCR and CellSearch assays, although higher stages more commonly displayed CTCs [74]. The technology to improve the detection and yield of true CTCs is still in its infancy and will continue to undergo refinement. Overall, while CTC positive patients appear more likely to have advanced disease, their low sensitivity across multiple studies and across stages appears to limit their utility as a screening or diagnostic tool. Potentially, the further development of platforms designed to identify CTCs that have undergone EMT may improve the utility of this circulating biomarker.

Circulating tumor DNA profiling

Cell free DNA consists of fragments of 120 to 200 base pairs and is present in the circulation and originates from both healthy cells and tumor cells. Circulating tumor (ct)-DNA consists of trace fractions of overall circulating DNA. Somatic mutations in ctDNA are widely representative of the underlying tumor genome and may provide better understanding of tumor heterogeneity, with less ‘sampling error’ of tissue biopsies and could be more representative of disseminated disease. ctDNA is detectable in >75% of patients with advanced solid malignancies, being identified in all patients with CTCs [75]. A recent retrospective study demonstrated that ctDNA exhibiting somatic DNA variants was detectable in plasma and urine of 12 patients using droplet digital PCR even in patients with non-invasive bladder cancer, with higher levels preceding disease progression [76]. Furthermore, ctDNA variants disappeared in disease-free patients. Massive parallel NGS (Next generation sequencing) was employed to evaluate a panel of 70 potentially therapeutically actionable genes (Guardant 360, Guardant Health, Palo Alto, CA) for mutations, amplification, fusions and indels in a recent study of patients with advanced urothelial carcinoma of the bladder [77]. Among 143 patients with advanced bladder cancer, 127 (89%) had detectable ctDNA for profiling. These data suggest that bladder cancer may exhibit one of the highest prevalences of ctDNA. Alterations were frequently observed in p53, DNA repair genes (BRCA1/2) cell-cycle controlling genes (FGFR2/3, APC, CDKN2A) epigenetic modifying genes (ARID1A) and kinase genes (EGFR, HER2, PIK3CA, KRAS, RAF) which resembled alterations previously reported from tumor tissue by the TCGA. Serial profiling was also presented for a subset of patients, demonstrating the extinction of pre-existing alterations and the emergence of new alterations, which may be hypothesized to confer resistance and represent new therapeutic targets. While lack of concordant tissue testing is a limitation of this study, further studies are needed to confirm that ctDNA mirrors the aggregate of genomic alterations in contemporaneously obtained tumor tissue from various locations, which will provide a method of assessing tumor response and early identification of drug resistance especially in the era of targeted therapies.

Methylation of circulating cell-free DNA

Epigenetic modifications have been identified as consistent major somatic molecular alterations in bladder cancer, with DNA methylation occurring frequently. Thus, methylated DNA has been studied as an epigenetic tumor marker, with some hypermethylation signatures being tumor specific [78]. Circulating methylated genes have been identified in the plasma of 27 bladder cancer patients in a study, 21 of whom had NMIBC with the remaining having muscle invasive disease [79]. p14ARF promoter hypermethylation was associated with multicentric foci, larger tumors and relapse. Seventeen cases demonstrated accord between plasma and tumor DNA alterations, while 6 cases exhibited a new alteration in plasma. Although the concordance rate was 63%, perfect concordance is not expected due to various factors including sampling bias of tumor biopsies and presumably, DNA from all sites of tumors and germline DNA in the circulation. Analysis of cell free DNA in other small studies of patients with invasive or non-invasive bladder cancer revealed hypermethylation of cell-free serum DNA, especially promoters of specific genes such as APC, GSTP1, TIG1, DAPK, p16 and cadherin genes, and some of these aberrations were associated with aggressive clinicopathologic features and conferred poor prognosis [80-84]. These data accord with and resemble data derived from analysis of NMIBC tumor tissue [82, 85].

RNA and Micro (mi)-RNA profiling

Tumor tissue gene expression profiling of MIBC has led to the proposal of major subtypes of bladder cancer including basal, luminal and p53 subtypes. Potentially, these classifications can be proposed based on circulating mRNA for more advanced stages of disease [39, 40]. Peripheral blood mononuclear cells (PBMCs) have been subjected to gene expression (RNA) profiling in multiple conditions, although bladder cancer has not been evaluated by this assay. Recently, robust platforms such as NanoString have been employed to assess gene expression from circulating blood in other settings, which utilizes minute quantities of RNA, and may be worth exploring in bladder cancer patients too [86]. MicroRNAs (miRNA) are a class of small, conserved non protein-coding RNAs that regulate gene expression by controlling translation of target mRNAs. Indeed, the potential relevance miRNAs in driving bladder cancer progression has been demonstrated from studies of tumor tissue also. For example, one study of tumor tissue demonstrated that miR-21, which downregulates the p53 pathway was increased in MIBC. Conversely, NMIBC exhibited miRNA expression profiles that led to increased FGFR3 expression [87]. miR expression profiles were prognostic and may assist in developing precision medicine. For example, high tumor levels of miR-21 and miR-372 were associated with poor outcomes, and miR-203 were associated with better outcomes in separate studies in the context of cisplatin-based chemotherapy for patients with advanced UC or MIBC, respectively [88, 89]. miRNAs are better able to circulate without significant degradation in blood and withstand processing due to smaller size. Their expression can be measured by real time quantitative PCR or miRNA microarray platforms [90]. Studies of serum miRNA expression in bladder cancer have identified miRNA profiles that may distinguish NMIBC from MIBC or confer prognostic impact. In a recent large cohort, genome-wide miRNA analysis by sequencing was performed followed by RT-PCR on serum from 207 patients with MIBC, 285 with NMIBC and 193 controls [91]. This study reported that miR-486-3p and miR-103a-3p were associated with overall survival of patients with MIBC. In another report, these authors also identified an association of miR-152 with tumor recurrence of NMIBC, and the potential value of a 6 miR panel to diagnose bladder cancer [92]. Plasma miR-205 was upregulated in 89 bladder cancer patients compared to 56 healthy control subjects and in MIBC compared to NMIBC patients [93]. Plasma miR-497 and miR-663b were identified to be potentially promising circulating diagnostic biomarkers in another study, which included mostly NMIBC (70%) evaluated 56 bladder cancer and 60 control patient samples in the training phase and 109 bladder cancer and 115 controls in the validation phase [94].

Proteomics

Proteomic studies have been conducted on various blood derived samples for a longer time, but are plagued by the non-specific nature of protein molecules in blood. Serum levels of soluble E-cadherin, MMP2, MMP7, endostatin, TGF-β and uPA have all been reported to be associated with higher pathologic stage or prognostic for poorer clinical outcomes in different settings [95-99]. High circulating interleukin (IL)-8 levels at baseline were associated with poor outcomes in the setting of sunitinib or pazopanib [100, 101]. More sophisticated serum protein analysis using matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) have been evaluated more recently. In one study of serum samples from 105 patients with bladder cancer, 98 healthy controls, and 45 prostate cancer patients, MALDI-TOF-MS demonstrated potential diagnostic utility in identifying patients with bladder cancer [102]. Furthermore, nuclear magnetic resonance (NMR)-based metabolomics has identified differences of serum metabolic profiles between bladder cancer and control subjects [103]. Interestingly, serum samples from bladder cancer patients exhibited decreased levels of isoleucine, leucine, tyrosine, lactate, glycine and citrate, coupled with increased levels of lipids and glucose. Current discovery driven proteomic studies are still unable to detect uncommon proteins at low concentrations of 1 ng/ml or less, which are more likely to be biomarkers. The large dynamic concentration range of upto 12 orders of magnitude of plasma proteins can mask the targeted plasma proteins present in lower quantities. Despite advancements in techniques including sample fractionation and protein depletion, sensitivity remains low. Moreover, the standardization and reproducibility of results is hindered by technological challenges, variations due to time of collection, age, sex and also genetic variations [104]. Rapid enzymatic degradation of some proteins requiring immediate sample processing and significant variations in some proteins based on fasting vs non-fasting states entail attention to details of uniform timing of sample collections. Therefore, the development of circulating proteomic biomarkers faces intrinsic challenges and needs to occur with significant thought.

CONCLUSION

The development of molecular biomarkers, particularly circulating biomarkers, for the management of bladder cancer is in its infancy. Circulating biomarkers have inherent logistical advantages owing to their non-invasiveness, but suffer from lower sensitivity of detection and moderate correlation with tumor tissue alterations. Conversely, circulating molecular alterations may capture tumor heterogeneity without the sampling bias of tissue biopsy. Moreover, serial assessment of circulating biomarkers is readily accomplished, which can facilitate cancer screening, knowledge of tumor biology, identify minimal residual or occult disease, early detection of recurrence, track resistance mechanisms and inform therapeutic intervention. Indeed, one recently initiated basket trial, TAPUR (Targeted Agent and Profiling Utilization Registry) allows the enrollment of patients to one of multiple arms of targeted therapy based on molecular alteration detected by ctDNA profiling using a Clinical Laboratory Improvement Amendments (CLIA)-certified, College of American Pathologists (CAP)-accredited laboratory, which has registered the assay with the National Institutes of Health (NIH) Genetic Test Registry. For example, given the preliminary success of ctDNA profiling to identify alterations in kinase genes, epigenetic modulating genes and p53, UC patients could be enrolled in trials such as TAPUR based on accredited ctDNA profiling. Notably, one phase III trial could not detect a favorable impact of adjuvant cisplatin-based chemotherapy following cystectomy in patients with tumor tissue p53 alteration by IHC, and this paradigm could be employed in metastatic disease using ctDNA profiling [105]. Circulating panels could be developed in conjunction with developing tumor tissue based profiling using the neoadjuvant therapy paradigm such as the randomized phase II neoadjuvant trial that compares GC vs. MVAC (NCT02177695) and evaluates COXEN (Coexpression Extrapolation) molecular tumor profiling, using an algorithm based on resistance patterns from a panel of 60 diverse cancer cell lines to predict sensitivity to chemotherapy [106]. Potentially, capture of data for multiple circulating biomarkers (CTCs, DNA including methylation status, RNA, miRNA, proteins) on multiplex platforms may be complementary and optimize a comprehensive circulating biomarker panel to advance the ultimate goals of early diagnosis, optimal clinicalstaging, monitoring and precision medicine. Moreover, the integration of molecular panels from interrogating another non-invasively obtained fluid, urine, may also complement circulating biomarker panels. Emerging imaging technology using novel radiotracers are also worthy of attention in this context, given their non-invasiveness. The task of studying and validating such comprehensive platforms in large prospective studies is undeniably challenging and will require a  multidisciplinary and international effort in partnership with regulatory agencies.

RELEVANT DISCLOSURES

Guru Sonpavde: Consultant for Bayer, Sanofi, Pfizer, Novartis, Eisai, Janssen, Amgen, Astrazeneca, Merck, Genentech, Argos, Agensys; Research support to institution from Bayer, Onyx, Celgene, Boehringer-Ingelheim, Merck, Pfizer; Author for Uptodate; Speaker for Clinical Care Options
  99 in total

1.  ERBB2 Mutations Characterize a Subgroup of Muscle-invasive Bladder Cancers with Excellent Response to Neoadjuvant Chemotherapy.

Authors:  Floris H Groenendijk; Jeroen de Jong; Elisabeth E Fransen van de Putte; Magali Michaut; Andreas Schlicker; Dennis Peters; Arno Velds; Marja Nieuwland; Michel M van den Heuvel; Ron M Kerkhoven; Lodewijk F Wessels; Annegien Broeks; Bas W G van Rhijn; René Bernards; Michiel S van der Heijden
Journal:  Eur Urol       Date:  2015-01-27       Impact factor: 20.096

2.  Pazopanib in advanced and platinum-resistant urothelial cancer: an open-label, single group, phase 2 trial.

Authors:  Andrea Necchi; Luigi Mariani; Nadia Zaffaroni; Lawrence H Schwartz; Patrizia Giannatempo; Flavio Crippa; Carlo Morosi; Rodolfo Lanocita; Teodoro Sava; Cinzia Ortega; Caterina Messina; Cosimo Sacco; Marzia Pennati; Maria G Daidone; Nicola Nicolai; Filippo De Braud; Alessandro M Gianni; Roberto Salvioni
Journal:  Lancet Oncol       Date:  2012-07-20       Impact factor: 41.316

3.  Assessing the use of p16(INK4a) promoter gene methylation in serum for detection of bladder cancer.

Authors:  M T Valenzuela; R Galisteo; A Zuluaga; M Villalobos; M I Núñez; F J Oliver; J M Ruiz de Almodóvar
Journal:  Eur Urol       Date:  2002-12       Impact factor: 20.096

4.  Improved 5-Factor Prognostic Classification of Patients Receiving Salvage Systemic Therapy for Advanced Urothelial Carcinoma.

Authors:  Guru Sonpavde; Gregory R Pond; Jonathan E Rosenberg; Dean F Bajorin; Toni K Choueiri; Andrea Necchi; Giuseppe Di Lorenzo; Joaquim Bellmunt
Journal:  J Urol       Date:  2015-08-17       Impact factor: 7.450

5.  NMR-based metabolomic analysis of human bladder cancer.

Authors:  Ming Cao; Liangcai Zhao; Haige Chen; Wei Xue; Donghai Lin
Journal:  Anal Sci       Date:  2012       Impact factor: 2.081

6.  Detection of circulating tumor DNA in early- and late-stage human malignancies.

Authors:  Chetan Bettegowda; Mark Sausen; Rebecca J Leary; Isaac Kinde; Yuxuan Wang; Nishant Agrawal; Bjarne R Bartlett; Hao Wang; Brandon Luber; Rhoda M Alani; Emmanuel S Antonarakis; Nilofer S Azad; Alberto Bardelli; Henry Brem; John L Cameron; Clarence C Lee; Leslie A Fecher; Gary L Gallia; Peter Gibbs; Dung Le; Robert L Giuntoli; Michael Goggins; Michael D Hogarty; Matthias Holdhoff; Seung-Mo Hong; Yuchen Jiao; Hartmut H Juhl; Jenny J Kim; Giulia Siravegna; Daniel A Laheru; Calogero Lauricella; Michael Lim; Evan J Lipson; Suely Kazue Nagahashi Marie; George J Netto; Kelly S Oliner; Alessandro Olivi; Louise Olsson; Gregory J Riggins; Andrea Sartore-Bianchi; Kerstin Schmidt; le-Ming Shih; Sueli Mieko Oba-Shinjo; Salvatore Siena; Dan Theodorescu; Jeanne Tie; Timothy T Harkins; Silvio Veronese; Tian-Li Wang; Jon D Weingart; Christopher L Wolfgang; Laura D Wood; Dongmei Xing; Ralph H Hruban; Jian Wu; Peter J Allen; C Max Schmidt; Michael A Choti; Victor E Velculescu; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos; Luis A Diaz
Journal:  Sci Transl Med       Date:  2014-02-19       Impact factor: 17.956

7.  Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial.

Authors:  Jonathan E Rosenberg; Jean Hoffman-Censits; Tom Powles; Michiel S van der Heijden; Arjun V Balar; Andrea Necchi; Nancy Dawson; Peter H O'Donnell; Ani Balmanoukian; Yohann Loriot; Sandy Srinivas; Margitta M Retz; Petros Grivas; Richard W Joseph; Matthew D Galsky; Mark T Fleming; Daniel P Petrylak; Jose Luis Perez-Gracia; Howard A Burris; Daniel Castellano; Christina Canil; Joaquim Bellmunt; Dean Bajorin; Dorothee Nickles; Richard Bourgon; Garrett M Frampton; Na Cui; Sanjeev Mariathasan; Oyewale Abidoye; Gregg D Fine; Robert Dreicer
Journal:  Lancet       Date:  2016-03-04       Impact factor: 79.321

Review 8.  Current Status of Urinary Biomarkers for Detection and Surveillance of Bladder Cancer.

Authors:  Aurélie Mbeutcha; Ilaria Lucca; Romain Mathieu; Yair Lotan; Shahrokh F Shariat
Journal:  Urol Clin North Am       Date:  2016-02       Impact factor: 2.241

9.  Distinct microRNA alterations characterize high- and low-grade bladder cancer.

Authors:  James W F Catto; Saiful Miah; Helen C Owen; Helen Bryant; Katie Myers; Ewa Dudziec; Stéphane Larré; Marta Milo; Ishtiaq Rehman; Derek J Rosario; Erica Di Martino; Margaret A Knowles; Mark Meuth; Adrian L Harris; Freddie C Hamdy
Journal:  Cancer Res       Date:  2009-10-20       Impact factor: 12.701

10.  Superficial bladder cancer: an update on etiology, molecular development, classification, and natural history.

Authors:  Erik Pasin; David Y Josephson; Anirban P Mitra; Richard J Cote; John P Stein
Journal:  Rev Urol       Date:  2008
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  16 in total

1.  Urinary transcript quantitation of CK20 and IGF2 for the non-invasive bladder cancer detection.

Authors:  Karsten Salomo; Doreen Huebner; Manja U Boehme; Alexander Herr; Werner Brabetz; Ulrike Heberling; Oliver W Hakenberg; Daniela Jahn; Marc-Oliver Grimm; Daniel Steinbach; Marcus Horstmann; Michael Froehner; Manfred P Wirth; Susanne Fuessel
Journal:  J Cancer Res Clin Oncol       Date:  2017-05-08       Impact factor: 4.553

Review 2.  Molecularly-driven precision medicine for advanced bladder cancer.

Authors:  Laura-Maria Krabbe; Vitaly Margulis; Andres Jan Schrader; Shahrokh F Shariat; Kilian M Gust; Martin Boegemann
Journal:  World J Urol       Date:  2018-06-08       Impact factor: 4.226

3.  Identification of Biomarkers Correlated with the TNM Staging and Overall Survival of Patients with Bladder Cancer.

Authors:  Sheng Li; Xiaoping Liu; Tongzu Liu; Xiangyu Meng; Xiaohong Yin; Cheng Fang; Di Huang; Yue Cao; Hong Weng; Xiantao Zeng; Xinghuan Wang
Journal:  Front Physiol       Date:  2017-11-28       Impact factor: 4.566

4.  Limited utility of qPCR-based detection of tumor-specific circulating mRNAs in whole blood from clear cell renal cell carcinoma patients.

Authors:  Sinisa Simonovic; Christian Hinze; Kai M Schmidt-Ott; Jonas Busch; Monika Jung; Klaus Jung; Anja Rabien
Journal:  BMC Urol       Date:  2020-02-04       Impact factor: 2.264

5.  Risk score based on three mRNA expression predicts the survival of bladder cancer.

Authors:  Qingzuo Liu; Ruigang Diao; Guoyan Feng; Xiaodong Mu; Aiqun Li
Journal:  Oncotarget       Date:  2017-06-27

6.  A risk score staging system based on the expression of seven genes predicts the outcome of bladder cancer.

Authors:  Jianfeng Chu; Ning Li; Fengguang Li
Journal:  Oncol Lett       Date:  2018-06-05       Impact factor: 2.967

Review 7.  Developments in Point-of-Care Diagnostic Technology for Cancer Detection.

Authors:  Bryony Hayes; Caroline Murphy; Aoife Crawley; Richard O'Kennedy
Journal:  Diagnostics (Basel)       Date:  2018-06-02

8.  Improving the diagnosis of high grade and stage bladder cancer by detecting increased urinary calprotectin expression in tumor tissue and tumor-associated inflammatory response.

Authors:  Yusuf Sahin; Ugur Yucetas; Huseyin Aytaç Ates; Erkan Erkan; Esma Yucetas; Mustafa Zafer Temiz; Mahmut Gokhan Toktas; Mustafa Kadihasanoglu; Birsen Cigdem Topkaya
Journal:  Investig Clin Urol       Date:  2019-08-19

9.  A Large-scale, multicenter serum metabolite biomarker identification study for the early detection of hepatocellular carcinoma.

Authors:  Ping Luo; Peiyuan Yin; Rui Hua; Yexiong Tan; Zaifang Li; Gaokun Qiu; Zhenyu Yin; Xingwang Xie; Xiaomei Wang; Wenbin Chen; Lina Zhou; Xiaolin Wang; Yanli Li; Hongsong Chen; Ling Gao; Xin Lu; Tangchun Wu; Hongyang Wang; Junqi Niu; Guowang Xu
Journal:  Hepatology       Date:  2018-01-02       Impact factor: 17.425

10.  An EMT-related gene signature for the prognosis of human bladder cancer.

Authors:  Rui Cao; Lushun Yuan; Bo Ma; Gang Wang; Wei Qiu; Ye Tian
Journal:  J Cell Mol Med       Date:  2019-10-28       Impact factor: 5.310

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