Literature DB >> 20407954

Proteomic assays for the detection of urothelial cancer.

Kris E Gaston1, H Barton Grossman.   

Abstract

Bladder cancer is one of the most expensive cancers from diagnosis to death of the patient due to life-long surveillance involving upper tract imaging, urinary cytology, and cystoscopy. Cytology has been historically used in conjunction with cystoscopy to help detect disease that may be missed by routine cystoscopy (e.g., carcinoma in situ and upper tract disease). Urine cytology is highly cytopathologist dependent and has reasonable sensitivity for detecting high grade disease. However, its sensitivity drops precipitously with regard to well-differentiated low grade cancers. Intensive investigations have been undertaken using proteomics to find an alternative to cystoscopy and cytology. Urine proteomic markers currently evaluated critically in the literature include bladder tumor antigen, nuclear matrix protein 22, BLCA-4, hyaluronic acid, hyaluronidase, cytokeratin 8, cytokeratin 18, cytokeratin 19, tissue polypeptide antigen, and tissue polypeptide-specific antigen. Markers used as alternatives to cystoscopy must be accurate with high sensitivity and specificity, cost effective for life-long surveillance, and minimally invasive to minimize the burden to the patient. To date, no proteomic marker has been developed that can replace cystoscopy for the detection of bladder cancer. However, several urinary markers appear to have higher sensitivity albeit lower specificity than cytology and can be used to supplement cystoscopy. Some of those markers are herein described in this chapter. By defining and characterizing the current state of the art in protein based markers, we are poised to evaluate and benchmark newly discovered protein biomarkers that will be isolated through new proteomics based investigations of urine.

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Year:  2010        PMID: 20407954     DOI: 10.1007/978-1-60761-711-2_17

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  9 in total

Review 1.  [Urine cytology - update 2013. A systematic review of recent literature].

Authors:  M Böhm; F vom Dorp; M Schostak; O W Hakenberg
Journal:  Urologe A       Date:  2013-09       Impact factor: 0.639

2.  Challenges and opportunities for discovery of disease biomarkers using urine proteomics.

Authors:  Alex Kentsis
Journal:  Pediatr Int       Date:  2011-02       Impact factor: 1.524

Review 3.  Searching for the noninvasive biomarker holy grail: are urine proteomics the answer?

Authors:  Joachim Voss; Young Ah Goo; Kevin Cain; Nancy Woods; Monica Jarrett; Lynne Smith; Robert Shulman; Margaret Heitkemper
Journal:  Biol Res Nurs       Date:  2011-05-17       Impact factor: 2.522

4.  Detection of bladder cancer using proteomic profiling of urine sediments.

Authors:  Tadeusz Majewski; Philippe E Spiess; Jolanta Bondaruk; Peter Black; Charlotte Clarke; William Benedict; Colin P Dinney; Herbert Barton Grossman; Kuang S Tang; Bogdan Czerniak
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

5.  Comparative mRNA and microRNA expression profiling of three genitourinary cancers reveals common hallmarks and cancer-specific molecular events.

Authors:  Xianxin Li; Jiahao Chen; Xueda Hu; Yi Huang; Zhizhong Li; Liang Zhou; Zhijian Tian; Hongyu Ma; Zhiyun Wu; Maoshan Chen; Zujing Han; Zhiyu Peng; Xiaokun Zhao; Chaozhao Liang; Yong Wang; Liang Sun; Jing Chen; Jun Zhao; Binghua Jiang; Huanming Yang; Yaoting Gui; Zhiming Cai; Xiuqing Zhang
Journal:  PLoS One       Date:  2011-07-25       Impact factor: 3.240

6.  Dysregulated genes targeted by microRNAs and metabolic pathways in bladder cancer revealed by bioinformatics methods.

Authors:  Lu Zhang; Cuihua Feng; Yamin Zhou; Qiong Zhou
Journal:  Oncol Lett       Date:  2018-04-27       Impact factor: 2.967

7.  Transcriptome Analysis of Liver Cancer Cell Huh-7 Treated With Metformin.

Authors:  Chun-Qing Li; Zhi-Qin Liu; Sha-Sha Liu; Gao-Tao Zhang; Li Jiang; Chuan Chen; Du-Qiang Luo
Journal:  Front Pharmacol       Date:  2022-03-23       Impact factor: 5.810

8.  Bladder cancer diagnosis and identification of clinically significant disease by combined urinary detection of Mcm5 and nuclear matrix protein 22.

Authors:  John D Kelly; Tim J Dudderidge; Alex Wollenschlaeger; Odu Okoturo; Keith Burling; Fiona Tulloch; Ian Halsall; Teresa Prevost; Andrew Toby Prevost; Joana C Vasconcelos; Wendy Robson; Hing Y Leung; Nikhil Vasdev; Robert S Pickard; Gareth H Williams; Kai Stoeber
Journal:  PLoS One       Date:  2012-07-09       Impact factor: 3.240

9.  Urine gamma-synuclein as a biomarker for the diagnosis of bladder cancer.

Authors:  Caiyun Liu; Bingbing Shi; Chonghua Hao; Qinghai Wang; Qiang Lv; Nianzeng Xing; Jianzhong Shou; Like Qu; Yanning Gao; Chao Qin; Jiyu Zhao; Chengchao Shou
Journal:  Oncotarget       Date:  2016-07-12
  9 in total

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