Literature DB >> 28058098

Urinary Bladder Cancer: Biomarkers and Target Therapy, New Era for More Attention.

Amrallah A Mohammed1, Hani El-Tanni2, Hani M El-Khatib2, Ahmad A Mirza3, Abdulrahim A Mirza4, Turki H Alturaifi4.   

Abstract

Currently, bladder cancer (BCa) evaluation depends mainly on traditional clinicopathological parameters encompassing tumor stage and grade, which will not reflect the behavior of the disease. Diverse molecular alterations are responsible for the heterogeneous course. The differences in molecular pathogenesis between non-invasive BCa and invasive BCa have been recognized. Molecular biomarkers are promising to predict progression and survival. The management of advanced BCa remains somewhat primitive in comparison with other more common malignancies. This topic will discuss the molecular pathways, biomarkers and potential targets that may improve the outcome in BCa.

Entities:  

Keywords:  Bladder cancer; biomarkers; targeted therapies

Year:  2016        PMID: 28058098      PMCID: PMC5178843          DOI: 10.4081/oncol.2016.320

Source DB:  PubMed          Journal:  Oncol Rev        ISSN: 1970-5557


Introduction

Bladder cancer (BCa) is one of the most common cancers; an estimated 74,000 new cases diagnosed/year. It is three times more prevalent in men and is rarely diagnosed before 40 years old. The molecular heterogeneity of BCa is believed to be one of the factors responsible for large variation in the response to treatment.[1] The molecular diagnosis is now a part of clinical management for many types of cancers, however for BCa is still missing and has not achieved widespread clinical use.[2] Over the last 10 years, significant progress had been made in the era of molecular diagnosis and target therapy aiming to improve the quality of life. The high frequency of recurrence of non-invasive BCa and poor survival rate of invasive BCa emphasize the need for novel therapeutic approaches. In this review, we describe the molecular basis, biomarkers, and the possible targeted agents that may improve the outcome of BCa.

Molecular basis of bladder cancer

The transition from normal urothelial tissue to carcinoma is associated with mainly two divergent major molecular events, called noninvasive papillary urothelial BCa (superficial) and non papillary invasive or solid BCa.[3] Papillary or superficial tumors are believed to be originated from diffuse flat hyperplastic urothelial changes, typically, characterized by low histological grade without basement membrane (BM) or muscle layer invasion. Clinically, they have a high recurrence rate with low probability (10-15%) to progress to histological high grade.[4] FGFR-3, H-RAS, and PI3KCA are the main genetic alternations involved in its development. Non-papillary invasive tumors develop from severe dysplasia or carcinoma in situ (CIS), characterized by high histological grade with high penetration affinity either to BM (T1) or to muscle layer (T2). Clinically, they have an aggressive behavior with tendency for metastasis either to regional lymph nodes or distance spread.[5] Molecular alterations are mainly characterized by mutations in tumor suppressor genes (TSGs) mainly, p53, and Rb.[6] Figure 1 illustrates the molecular pathways of BCa; papillary (superficial) and invasive types.
Figure 1.

The molecular pathways of bladder cancer; papillary (superficial) and invasive types.

Biomarkers

The National Cancer Institute defines a biomarker as a substance found in tissue, blood, or other body fluids that may be a sign of cancer or noncancerous conditions. Most tumor biomarkers are secreted by both normal cells as well as cancer cells, but in different amounts. Like all respective biomarkers related to their cancers, BCa biomarkers exhibit some or all of these features: prognostic, predictive, and pharmacodynamic. Prognostic biomarkers predict the natural course of the cancer. Predictive biomarkers evaluate the probable benefit of a particular treatment. Pharmacodynamic biomarkers assess the treatment effects of a drug on a tumor and can possibly determine the proper dosage of a new anticancer drug.[7] Identification of disease-specific molecular pathogenesis and biomarkers are a rational approach to better assist in the clinical management. In superficial tumors, identify who will be in need for close observation and vigilant surveillance. Furthermore, the poor prognosis of invasive BCa; the biomarkers may improve the prognostication (Figure 2).
Figure 2.

The subdivision of bladder cancer biomarkers.

Chromosomal changes

Cytogenetic studies identified several patterns of chromosomal changes, which have been implicated in BCa management. These aberrations can be detected by multicolor interphase fluorescence in situ hybridization (FISH), single nucleotide polymorphism analysis (SNP), or comparative genomic hybridization (CGH). Chromosome 9 alterations (9q-, 9p-) are the earliest genetic events in both superficial and muscle-invasive BCa.[8] This is corresponding to several previous studies.[9]-[11]

Cell cycle regulators

Altered cell cycle regulations have been extensively examined in BCa. Missense mutations in TP53 with subsequently nuclear accumulation of p53 leading to cell cycle deregulation progression through the G1-S checkpoint.[12] Early studies on the prognostic value of p53 expression revealed the association with higher rate of distant metastasis and reduced overall survival.[13] Similarly, many studies have postulated that an altered p53 status may predict a poor outcome in BCa patients, after surgical treatment.[14] However, substantial controversy exists regarding this prognostic value.[15] Actually, there are inconclusive and variable results regarding the prognostic value of p53. This controversy may arise out of the heterogeneity of the targeted patients, methodologies or evaluation criteria. P21 and p27 are G1-checkpoint CDK inhibitors, has been implicated in the genesis or progression of many human malignancies. A meta-analysis was performed in 48 patients with BCa revealed that low p21 expression predicted tumor recurrence and poor prognosis,[16] which is corresponding to the study done by Korkolopoulou et al.[17] A systematic review and meta-analysis done by Gan et al., suggested that p16, encoded by the CDKN2A gene, might play an essential role in the deterioration of BCa and could serve as a biomarker for the prediction for patients’ progression and prognosis.[18] Although the data regarding the prognostic value of cyclin D1 is equivocal, a subgroup analysis in a study of 150 BCa patients revealed that over expression is considered as a predictor for lower progression rate and eventually better survival.[19] Cox’s multivariate analysis selected cyclin D3 as an independent predictor of progression-free survival together with tumor size in patients with Ta/T1 BCa.[20] A study of protein levels of cyclin E and p27 levels in BCa demonstrated significantly improved survival associated with low protein expression.[21] The retinoblastoma gene (Rb) is a TSG that regulates cell-cycle progression at the G1-S transition. The RB gene inactivation was associated with high grade BCa, surprisingly; both high and low Rb levels correlate with outcome. This may be explained by discordance between proteins over expression and gene mutation.[22]

Proliferation markers

Carcinogenesis is a multistage process initiated by disturbed and uncontrolled proliferation of cells. Their growth is associated with the actions of such proliferative proteins as proliferating cell nuclear antigen (PCNA), Ki-67 and MCM-2 (minichromosome maintenance 2). In multivariate Cox regression analysis, the expression of Mcm2 with a cutoff ≥40% was independent predictor of recurrence rate in Ta/T1 BC.[23] The Ki-67 labeling index is a widely used immunohistochemical marker for determining the proliferative activity of various tumors. Elevated Ki-67 labeling index has both prediction and prognostic characteristics in BCa. In a study done by Margulis et al., elevated Ki-67 labeling index had associated with poor outcome in form of diseasespecific mortality and high probabilities of recurrence,[24] and in another study by Ding et al., identified the improved the prediction of both progression free survival and disease specific survival when combined Ki-67 with European Organization for Research and Treatment of Cancer (EORTC) risk scores.[25] In addition, the PCNA over expression was associated with micro vessel density (MVD) may predict the survival.[26]

Apoptosis markers

Inappropriate apoptosis is a characteristic of many types of human cancer. Bcl-2, caspase-3, P53, and survivin have a cooperative effect on progression of BCa. By univariate and multivariate analysis of 226 BCa patients, altered expression of Bcl-2, caspase-3, P53, and survivin were independently all associated with high probability of disease recurrence and disease-specific mortality.[27] The value of Bcl-2/Bax expression ratio in BCa was evaluated by Bahram et al., concluded that this expression may serve as a significant prognostic indicator in predicting the clinical outcome.[28] Immunohistochemical analysis of Bcl-xL expression revealed that patients with a high Bcl-xL score had a significantly lower 5-year cancer-specific survival rate (53.2%) than those with a low Bcl-xL score (77.2%), and servants as an independent prognostic factor through multivariate analysis.[29] An active caspase-3 is a common finding in BCa with protein over expression was associated with better survival indicating that, it might be a relevant prognostic factor for BCa patients.[30]

Tyrosine kinase-associated receptors

Several cell growth receptors and their downstream pathways have emerged as key regulators of many cellular processes. Any changes in these receptors or their signals can lead to uncontrolled cellular growth and tumorogenesis. There are four-fibroblast growth factor receptors (FGFR1-4) genes result in the production of over 48 different isoforms of FGFR. Among FGFR family, FGFR3 is the most extensively studied alterations. As mentioned before, FGFR3 mutations and protein over expression are associated with papillary low-grade tumors. FGFR3 mutations have been evaluated as their prognostic significance.[31] FGFR3 over expression was predictive of adverse outcome in patients with adjuvant cisplatin-based chemotherapy after radical cystectomy.[32] In the stratified analysis of 722 patients with non invasive BCa, only patients with FGFR3 mutations TaG1 tumors have a higher risk of recurrence.[33] In a multicenter study, included 286 patients with primary BCa, FGFR3 status and MIB-1 were evaluated with mean followup was 5.5 years identified this combination may be considered independently prognostic significant.[34] The epidermal growth factor receptor (EGFR) belongs to the ErbB family of receptor tyrosine kinases. EGFR (ErbB-1) and ErbB-2 (Her2/neu) are among the best-studied receptors in this family. EGFR over expression is an independent predictor of poor survival and stage progression. It was found to be 80% sensitive in predicting stage progression in non- invasive high grade BCa.[35] Based on multivariate Cox regression analyses, Kim et al., demonstrated that two-gene risk score (composed of EGFR and S100A9) was the only factor that was independently prognostic for disease progression.[36] The mutation assays for the detection of 19 possible mutations in the HRAS, KRAS, and NRAS genes on 257 patients with primary BCa and 184 recurrences revealed that mutations in the RAS and PIK3CA genes were not predictors for recurrence-free (RFS), progression-free (PFS) and diseasespecific survival (DSS).[37]

Epigenetic markers

Although only few data are available, the significant association between hypermethylation of the promoter region and decreased survival in BCa has been reported. Some studies have shown a positive correlation between hypermethylation status of genes (e.g., DAPK, p14ARF, TIMP-3 and RUNX3) and high recurrence rate of BCa, and some of these were independent predictive factors for recurrence.[38] In a study, methylation status of ten genes was determined in 98 BCa specimens and methylation index was calculated and demonstrated that an association between methylation of CDH1 and survival.[39] In addition, the methylation status of 20 cancer-associated genes for DNA methylation in 105 consecutive patients with primary non invasive BCa were evaluated and concluded that, the methylation status of six genes (SOCS-1, STAT-1, BCL-2, DAPK, TIMP-3 and CDH1) was associated with tumor recurrence.[40] Moreover, in another study, the roles of the methylation of 25 TSGs as clinical outcome predictive biomarkers in T1G3 Bca treated with BCG were evaluated. Multivariate analyses demonstrated the association between the methylation status of TSGs and the clinical outcome of T1G3 tumors treated with BCG through three clinical end points: RFS, PFS, and DSS.[41]

Invasion and angiogenesis markers

Recent studies have pointed out the potential prognostic value of angiogenesis and invasion markers in BCa. In Cox univariate analysis revealed that the decrease of E-cadherin and the gain of N-cadherin gene expression were considered as risk factors for cancer-related death.[42] Results from another study revealed the association between decreased E-Cadherin immunoexpression and tumor recurrence in low-grade and non invasive BCa.[43] Several matrix metalloproteinases (MMPs) have been identified as having potential diagnostic or prognostic utility, whether alone or in combination with cytology.[44] The prognostic significance of the hepatocyte growth factor (HGFR) was evaluated in 133 patients with non-metastatic BCa and postulated that the phosphorylated form was an independent predictor of RFS and DSS on multivariable analysis.[45] The expressions of VEGF, VEGFR1, and VEGFR2 in non-invasive and invasive BCs were investigated and identified that, patients with higher levels of VEGF, VEGFR1, and VEGFR2 tended to have poorer RFS than those with lower levels, but this was not statistically significant.[46] Moreover, the correlation MVD with grade and stage of BCa were indentified in another study.[47]

Target therapy

Targeted therapy is used to keep cancer from growing and spreading. They are often able to attack cancer cells while doing less damage to normal cells. Due to the high probability of recurrence of noninvasive BCa and poor survival rate of invasive BCa, new therapeutic approaches are needed. A cancer growth and spread are related to many growth factors pathways including the fibroblast, epidermal, and the vascular endothelial growth factor pathways.

Fibroblast growth factor receptor

Although the role of fibroblast growth factor receptor (FGFR) has been documented in pathogenesis of low grade non-invasive BCa, yet clinical benefit of its inhibition is not yet known. Gust et al., evaluated the role of FGFR3 inhibition with R3Mab in patients with BCa.[48] The pharmacodynamics, efficacy and safety of dovitinib-a broad multikinase inhibitor of FGFR, VEGFR and PDGFR including FGFR3-were evaluated in patients with previously treated advanced urothelial carcinoma (UC), with and without FGFR3 mutations. Although generally well tolerated, dovitinib has very limited single-agent activity regardless of FGFR3 mutation status.[49]

Epidermal growth factor receptor

Gefitinib

Gefitinib, an orally active selective epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI), inhibits the receptor and its related downstream process. It was evaluated as a single agent in 31 patients with metastatic UC in platinum refractory chemotherapy. 81% of patients demonstrated progressive disease and the median survival time was 3 months.[50] Moreover, the addition of gefitinib did not appear to improve the response rate or survival outcome in comparison with historical controls of patient treated just with cisplatin plus gemcitabine.[51]

Erlotinib

In a phase II open-label trial to evaluate Erlotinib as neoadjuvant; 60% were down staged suggesting single-agent activity with EGFR inhibitors in this disease setting.[52] This is corresponding to the study at MD Anderson Cancer Center with complete pathologic response after 3 to 5 weeks of erlotinib.[53]

Cetuximab

Cetuximab is anti-EGFR monoclonal antibody has modest activity when used as monotherapy in advanced or metastatic BCa, moreover, in a randomized phase II trial, the use of cetuximab with or without paclitaxel in 39 patients with previously treated UC showed that cetuximab has limited activity as a single agent.[54]

Panitumumab

Panitumumab, another anti-EGFR monoclonal antibody, was evaluated in combination with radiotherapy (RP/P) following neoadjuvant chemotherapy and pelvic lymph node dissection. The authors suggest that this combination is safe an organ preserving option for BCa.[55]

Human epidermal growth factor receptor 2

Trastuzumab

Trastuzumab, the anti-Her-2 humanized monoclonal antibody was used in combination with gemcitabine with cisplatin or carboplatin to treat patients with advanced Her-2-positive BCa (arm A) or without (arm B) trastuzumab. Median PFS for arms A and B was 10.2 versus 8.2 months, ORR 65% versus 53.2%, and median OS 15.7 versus 14.1 months (P=0.684), respectively. However, the low number of patients with Her-2 positive limited the power of the study.[56]

Lapatinib

Lapatinib was evaluated as a second-line treatment of patients with locally advanced or metastatic UC in a single-arm, multicenter, openlabel phase II study revealed negative results because it did not meet its primary endpoint.[57] The safety of lapatinib in combination with gemcitabine /cisplatin in patients with advanced BCa was demonstrated in phase II study done by Narayan et al., revealed the intolerability of this combination.[58] Moreover, the use of maintenance lapatinib in Her1/2 positive metastatic BCa patients did not improve outcomes in HER1 or HER2 positive individuals versus placebo after first line chemotherapy.[59]

Antiangiogenesis

Bevacizumab

Bevacizumab, a monoclonal antibody against VEGF, has been utilized as neoadjuvant with chemotherapy in several nonrandomized phase II trials without down-staging of the tumor and higher rates of surgical complications.[60] In the first-line setting, it was used in combination with gemcitabine and carboplatin in patients with advanced BCa but without satisfaction results.[61] The other anti-angiogenic agents as, sunitinib, pazopanib, aflibercept and ramucirumab have been evaluated in multiple settings in UC, without clear clinical benefit.[62-65]

Checkpoint inhibitors

Atezolizumab belongs to a class of immunotherapy drugs known as checkpoint inhibitors. It prevents a programmed cell death (PD-L1) that is found on some tumor cells from binding to another protein, PD- 1, on immune cells with subsequently immune response suppression. By this blocking the immune cells can attack the tumors. The Food and Drug Administration (FDA) on May 18 2016, approved atezolizumab for the treatment of patients with UC, based on a study of 310 patients with locally advanced or metastatic UC after failure of platinum-containing chemotherapy or within one year of receiving it. In this trial, all patients received a 1200-mg intravenous dose of the atezolizumab on day 1 every 21-days until unacceptable toxicity or progression occurred. The objective response rate was 26% in patients with the highest positivity for PD-L1, 18% for the lower positivity, and 15% for all patients. Complete responses were seen in up to 11% of patients in the highestpositivity subgroup and in 5% of all patients. Median PFS was 2.1 months for all patients. At 6 months, it was 30% in the highest-positivity subgroup, 17% in the lower-positivity subgroup, and 21% in the subgroup with no/minimal PD-L1 expression. Median OS was 7.9 months for all patients, 11.4 months for the highest-positivity subgroup, and 6.7 months for the lowest-positivity subgroup. The most common grade 3-4 adverse reactions (≥2%) were urinary tract infection (9%), anemia (8%), fatigue (6%), hematuria (3%), and dyspnea (4%).[66] Several PD-1 inhibitors as of pembrolizumab or nivolumab, are currently being studied in platinum-refractory metastatic BCa patients.[67]

Others

In a single-arm, nonrandomized, phase II study of everolimus in metastatic UC, yield one partial response, one near-complete response and twelve minor regressions were observed.[68] Moreover, in a phase I trial, a BCa patient had a 14-month complete response with the combination of the mTOR inhibitor everolimus and pazopanib. It supposed that response was related to everolimus and not pazopanib treatment, because the dose of pazopanib needed to overcome the activity of the mTOR mutations is more than 100-fold higher than that for rapamycin.[69] Similarly, the use of single temsirolimus failed to show a considerable activity in advanced UC.[70] Cabozantinib is TKI that primarily targets MET/HGF1. It was evaluated in phase II trial as second-line treatment of 26 patients with relapsed or refractory metastatic UC. The authors concluded that the cabozantinib had clinical activity in patients with relapsed or refractory metastatic UC with manageable toxicities.[71]

Conclusions

Nowadays many cancers cannot be managed according the pathological features only; we expect BCa is an important member from these cancers, which will include beside the clinicopathological features, the molecular-guided approach including several markers mentioned above. Although, urinary bladder biomarkers represent a promising frontier for predicting not only the course of the disease but also the response of that tumor to therapy, its use still immature and the routine use is not recommended. Due to disease heterogeneity, there is no single marker has been able to adequately reflect the tumor biology. Moreover, the combining biomarkers had been found to improve the predictive and prognostic accuracy in many studies. We are in need to classify BCa into low risk and high risk based on molecular features to get the personalized treatment approach. Although new combination chemotherapy protocols have improved median survival, there is still a great opportunity for improvement. Targeted agents are now emerging as a potential ways to improve the outcome. The response rates may be improved via refinement of the markers used to predict response. After the approval of atezolizumab as single agent in advanced BCa, many of new targeted therapeutic agents are under investigation in combination with standard chemotherapy agents or combined checkpoint inhibitors either double or triple, which may move the management from the advanced platinum-refractory BCa to first line or even as a maintenance.
  67 in total

1.  FGFR3 and p53 protein expressions in patients with pTa and pT1 urothelial bladder cancer.

Authors:  P Mhawech-Fauceglia; R T Cheney; G Fischer; A Beck; F R Herrmann
Journal:  Eur J Surg Oncol       Date:  2006-01-18       Impact factor: 4.424

Review 2.  Molecular biology of bladder cancer: new insights into pathogenesis and clinical diversity.

Authors:  Margaret A Knowles; Carolyn D Hurst
Journal:  Nat Rev Cancer       Date:  2015-01       Impact factor: 60.716

3.  Use of combined apoptosis biomarkers for prediction of bladder cancer recurrence and mortality after radical cystectomy.

Authors:  Jose A Karam; Yair Lotan; Pierre I Karakiewicz; Raheela Ashfaq; Arthur I Sagalowsky; Claus G Roehrborn; Shahrokh F Shariat
Journal:  Lancet Oncol       Date:  2007-02       Impact factor: 41.316

4.  A single-arm, multicenter, open-label phase 2 study of lapatinib as the second-line treatment of patients with locally advanced or metastatic transitional cell carcinoma.

Authors:  Christian Wülfing; Jean-Pascal H Machiels; Dirk J Richel; Marc-Oliver Grimm; Uwe Treiber; Marco R De Groot; Philippe Beuzeboc; Roma Parikh; Frank Pétavy; Iman A El-Hariry
Journal:  Cancer       Date:  2009-07-01       Impact factor: 6.860

5.  Sunitinib malate is active against human urothelial carcinoma and enhances the activity of cisplatin in a preclinical model.

Authors:  Guru Sonpavde; Weiguo Jian; Hao Liu; Meng-Fen Wu; Steven S Shen; Seth P Lerner
Journal:  Urol Oncol       Date:  2008-06-04       Impact factor: 3.498

6.  Phosphorylated hepatocyte growth factor receptor/c-Met is associated with tumor growth and prognosis in patients with bladder cancer: correlation with matrix metalloproteinase-2 and -7 and E-cadherin.

Authors:  Yasuyoshi Miyata; Yuji Sagara; Shigeru Kanda; Tomayoshi Hayashi; Hiroshi Kanetake
Journal:  Hum Pathol       Date:  2009-01-03       Impact factor: 3.466

7.  Methylation of the RUNX3 promoter as a potential prognostic marker for bladder tumor.

Authors:  Eun-Jung Kim; Yong-June Kim; Pildu Jeong; Yun-Sok Ha; Suk-Chul Bae; Wun-Jae Kim
Journal:  J Urol       Date:  2008-07-18       Impact factor: 7.450

8.  Numerical aberrations of chromosome 17 and the 9p21 locus are independent predictors of tumor recurrence in non-invasive transitional cell carcinoma of the urinary bladder.

Authors:  Stefan Krüger; Franziska Mess; Andreas Böhle; Alfred C Feller
Journal:  Int J Oncol       Date:  2003-07       Impact factor: 5.650

9.  Decreasing of p27(Kip1)and cyclin E protein levels is associated with progression from superficial into invasive bladder cancer.

Authors:  T Kamai; K Takagi; H Asami; Y Ito; H Oshima; K I Yoshida
Journal:  Br J Cancer       Date:  2001-05-04       Impact factor: 7.640

10.  Mcm2 predicts recurrence hazard in stage Ta/T1 bladder cancer more accurately than CK20, Ki67 and histological grade.

Authors:  M Burger; S Denzinger; A Hartmann; W-F Wieland; R Stoehr; E C Obermann
Journal:  Br J Cancer       Date:  2007-05-15       Impact factor: 7.640

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1.  RON is overexpressed in bladder cancer and contributes to tumorigenic phenotypes in 5637 cells.

Authors:  Jun-Feng Chen; Bi-Xia Yu; Liang Ma; Xiu-Yi Lv; Jun-Hui Jiang; Qi Ma
Journal:  Oncol Lett       Date:  2018-02-28       Impact factor: 2.967

2.  Protein kinase D inhibitor CRT0066101 suppresses bladder cancer growth in vitro and xenografts via blockade of the cell cycle at G2/M.

Authors:  Qingdi Quentin Li; Iawen Hsu; Thomas Sanford; Reema Railkar; Navin Balaji; Carole Sourbier; Cathy Vocke; K C Balaji; Piyush K Agarwal
Journal:  Cell Mol Life Sci       Date:  2017-10-25       Impact factor: 9.261

3.  Expression of MDM2 mRNA, MDM2, P53 and P16 Proteins in Urothelial Lesions in the View of the WHO 4th Edition Guidelines as a Molecular Insight towards Personalized Medicine.

Authors:  Olfat Hammam; Mona Magdy; Mohamed Badawy; Khalid Al Osili; Amr El Kholy; Tarek El LeitHy
Journal:  Open Access Maced J Med Sci       Date:  2017-08-05

4.  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

5.  Diagnostic and Prognostic Potential of MicroRNA Maturation Regulators Drosha, AGO1 and AGO2 in Urothelial Carcinomas of the Bladder.

Authors:  Anja Rabien; Nadine Ratert; Anica Högner; Andreas Erbersdobler; Klaus Jung; Thorsten H Ecke; Ergin Kilic
Journal:  Int J Mol Sci       Date:  2018-05-31       Impact factor: 5.923

Review 6.  Update on the Treatment of Metastatic Urothelial Carcinoma.

Authors:  Nedal Bukhari; Humaid O Al-Shamsi; Faisal Azam
Journal:  ScientificWorldJournal       Date:  2018-06-06

7.  Neural precursor cell expressed, developmentally downregulated 8 promotes tumor progression and predicts poor prognosis of patients with bladder cancer.

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Journal:  Cancer Sci       Date:  2018-12-10       Impact factor: 6.716

8.  Long non-coding RNA PCAT6 regulates bladder cancer progression via the microRNA-143-3p/PDIA6 axis.

Authors:  Yuanjie Zhang; Lin Chen; Gang Luo
Journal:  Exp Ther Med       Date:  2021-07-01       Impact factor: 2.447

9.  The Clinical Relevance of Fragile Histidine Triad Protein (FHIT) in Patients with Bladder Cancer.

Authors:  Xiao-Ping Liu; Xiao-Hong Yin; Xin-Hui Yan; Xian-Tao Zeng; Xing-Huan Wang
Journal:  Med Sci Monit       Date:  2018-05-12

10.  Overexpression of long non‑coding RNA n346372 in bladder cancer tissues is associated with a poor prognosis.

Authors:  Anwei Liu; Zhensheng Zhang; Weidong Xu; Shengfei Qin; Meimian Hua; Shuxiong Zeng; Chuanliang Xu
Journal:  Mol Med Rep       Date:  2018-10-25       Impact factor: 2.952

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