Literature DB >> 19050710

Molecular biomarkers for urothelial carcinoma of the bladder: challenges in clinical use.

Christian Bolenz1, Yair Lotan.   

Abstract

Conventional clinical and pathological parameters are limited in their capacity to detect patients with urothelial carcinoma of the bladder (UCB) who are at high risk for recurrence or mortality. The assessment of molecular biomarkers in surgical UCB specimens offers additional information on the biology of the disease, and might improve the prediction of oncologic end points. A wide range of candidate biomarkers, including key cell-cycle regulators, apoptotic markers and specific growth factors, have been reported to be of prognostic value. To date, however, no molecular biomarker for UCB has been introduced into clinical practice, mainly owing to insufficient validation and the absence of prospective studies. Knowledge about the value of molecular biomarkers in predicting the response to adjuvant or neoadjuvant therapies is also lacking. Prospective trials need to be initiated in high-risk patients selected on the basis of the expression patterns of molecular biomarkers that have already passed the initial steps towards clinical utility.

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Year:  2008        PMID: 19050710     DOI: 10.1038/ncpuro1259

Source DB:  PubMed          Journal:  Nat Clin Pract Urol        ISSN: 1743-4270


  6 in total

1.  Increased expression of SPRY4-IT1 predicts poor prognosis and promotes tumor growth and metastasis in bladder cancer.

Authors:  Xiao-Lei Zhao; Zhen-Hua Zhao; Wen-Chao Xu; Jun-Qing Hou; Xin-Yi Du
Journal:  Int J Clin Exp Pathol       Date:  2015-02-01

2.  SKIP expression is correlated with clinical prognosis in patients with bladder cancer.

Authors:  Longwang Wang; Mei Zhang; Yong Wu; Cheng Cheng; Yawei Huang; Zimin Shi; Hongwei Huang
Journal:  Int J Clin Exp Pathol       Date:  2014-03-15

Review 3.  [Invasion patterns and metastasis of urothelial carcinoma. A challenge for translational research].

Authors:  C Bolenz; T Martini; M S Michel
Journal:  Urologe A       Date:  2013-09       Impact factor: 0.639

4.  Metabolite marker discovery for the detection of bladder cancer by comparative metabolomics.

Authors:  Chi-Hung Shao; Chien-Lun Chen; Jia-You Lin; Chao-Jung Chen; Shu-Hsuan Fu; Yi-Ting Chen; Yu-Sun Chang; Jau-Song Yu; Ke-Hung Tsui; Chiun-Gung Juo; Kun-Pin Wu
Journal:  Oncotarget       Date:  2017-06-13

5.  Bladder cancer: a simple model becomes complex.

Authors:  Giovanni Battista Di Pierro; Caterina Gulia; Cristiano Cristini; Giorgio Fraietta; Lorenzo Marini; Pietro Grande; Vincenzo Gentile; Roberto Piergentili
Journal:  Curr Genomics       Date:  2012-08       Impact factor: 2.236

6.  N6-methyladenosine-related non-coding RNAs are potential prognostic and immunotherapeutic responsiveness biomarkers for bladder cancer.

Authors:  Miaolong Lu; Hailun Zhan; Bolong Liu; Dongyang Li; Wenbiao Li; Xuelian Chen; Xiangfu Zhou
Journal:  EPMA J       Date:  2021-10-21       Impact factor: 6.543

  6 in total

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