Literature DB >> 28469965

Eight-plex iTRAQ labeling and quantitative proteomic analysis for human bladder cancer.

Qimin Zhang1, Shengsong Huang1, Huarong Luo1, Xin Zhao1, Gang Wu1, Denglong Wu1.   

Abstract

Bladder cancer is one of the most prevalent cancers worldwide, and increasing research has focused on new technologies for early detection of bladder cancer. For example, proteomic techniques for biomarker discovery have been implemented for the detection and analysis of protein changes in the tissues, blood, and urine from bladder cancer patients. In this present study, we evaluated the effectiveness of the eight-plex iTRAQ labeling and quantitative proteomic approaches for differentially analyzing proteins found in normal and bladder cancer tissues from individual patients. This study obtained 1627 identified and quantified proteins, and detected significant changes of expression in 35 proteins. In addition, both mass spectrometry and Western Blot results indicated that scaffold attachment factor B (SafB) and GTPase RAN binding protein 1 (RanBP1) were up-regulated in low-grade bladder cancer tissues. Overall, this study suggests that these two proteins are potential candidates as predictive and diagnostic biomarkers and that they may be potentially used as the therapeutic targets for drug discovery.

Entities:  

Keywords:  Bladder cancer; RAN binding protein 1 (RanBP1); eight-plex iTRAQ labeling; scaffold attachment factor B (SafB)

Year:  2017        PMID: 28469965      PMCID: PMC5411800     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   6.166


  30 in total

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Authors:  C Sansom
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Review 2.  Impact of proteomics on bladder cancer research.

Authors:  Julio E Celis; Irina Gromova; Jose M A Moreira; Teresa Cabezon; Pavel Gromov
Journal:  Pharmacogenomics       Date:  2004-06       Impact factor: 2.533

3.  Search for cancer markers from endometrial tissues using differentially labeled tags iTRAQ and cICAT with multidimensional liquid chromatography and tandem mass spectrometry.

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Journal:  J Proteome Res       Date:  2005 Mar-Apr       Impact factor: 4.466

4.  Detection of bladder cancer using a point-of-care proteomic assay.

Authors:  H Barton Grossman; Edward Messing; Mark Soloway; Kevin Tomera; Giora Katz; Yitzhak Berger; Yu Shen
Journal:  JAMA       Date:  2005-02-16       Impact factor: 56.272

5.  Cancer statistics, 2010.

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6.  Proteomic mapping of brain plasma membrane proteins.

Authors:  Peter Aa Nielsen; Jesper V Olsen; Alexandre V Podtelejnikov; Jens R Andersen; Matthias Mann; Jacek R Wisniewski
Journal:  Mol Cell Proteomics       Date:  2005-01-30       Impact factor: 5.911

7.  SAFB1's multiple functions in biological control-lots still to be done!

Authors:  Jason P Garee; Steffi Oesterreich
Journal:  J Cell Biochem       Date:  2010-02-01       Impact factor: 4.429

8.  Prediction of muscle-invasive bladder cancer using urinary proteomics.

Authors:  Eric Schiffer; Antonia Vlahou; Andreas Petrolekas; Konstantinos Stravodimos; Robert Tauber; Jürgen E Geschwend; Jochen Neuhaus; Jens-Uwe Stolzenburg; Mark R Conaway; Harald Mischak; Dan Theodorescu
Journal:  Clin Cancer Res       Date:  2009-07-14       Impact factor: 12.531

9.  Identification by proteomic analysis of calreticulin as a marker for bladder cancer and evaluation of the diagnostic accuracy of its detection in urine.

Authors:  Susumu Kageyama; Takahiro Isono; Hideaki Iwaki; Yoshihiko Wakabayashi; Yusaku Okada; Keiichi Kontani; Koji Yoshimura; Akito Terai; Yoichi Arai; Tatsuhiro Yoshiki
Journal:  Clin Chem       Date:  2004-02-05       Impact factor: 8.327

10.  Identification of potential bladder cancer markers in urine by abundant-protein depletion coupled with quantitative proteomics.

Authors:  Chien-Lun Chen; Tsung-Shih Lin; Cheng-Han Tsai; Chih-Ching Wu; Ting Chung; Kun-Yi Chien; Maureen Wu; Yu-Sun Chang; Jau-Song Yu; Yi-Ting Chen
Journal:  J Proteomics       Date:  2013-04-28       Impact factor: 4.044

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  8 in total

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2.  RANBP1 promotes colorectal cancer progression by regulating pre-miRNA nuclear export via a positive feedback loop with YAP.

Authors:  Dandan Zheng; Meng Cao; Siyu Zuo; Xin Xia; Chunchun Zhi; Yanbing Lin; Sitong Deng; Xiaoqin Yuan
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Review 3.  Development of biomarkers of genitourinary cancer using mass spectrometry-based clinical proteomics.

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4.  A Novel Quantification System Combining iTRAQ Technology and Multi-Omics Assessment to Predict Prognosis and Immunotherapy Efficacy in Colon Cancer.

Authors:  Tianyi Xia; Junnan Guo; Bomiao Zhang; Weinan Xue; Shenhui Deng; Yanlong Liu; Binbin Cui
Journal:  Front Bioeng Biotechnol       Date:  2022-04-04

5.  WD repeat-containing protein 1 maintains β-Catenin activity to promote pancreatic cancer aggressiveness.

Authors:  Hengchao Li; Xiaohui Liu; Shuheng Jiang; Xinwen Zhou; Lie Yao; Yang Di; Yongjian Jiang; Jichun Gu; Yishen Mao; Ji Li; Chen Jin; Pengyuan Yang; Deliang Fu
Journal:  Br J Cancer       Date:  2020-06-30       Impact factor: 7.640

6.  Identification of Potential Biomarkers for Progression and Prognosis of Bladder Cancer by Comprehensive Bioinformatics Analysis.

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Journal:  J Oncol       Date:  2022-04-19       Impact factor: 4.501

Review 7.  Trends in urine biomarker discovery for urothelial bladder cancer: DNA, RNA, or protein?

Authors:  Nada Humayun-Zakaria; Douglas G Ward; Roland Arnold; Richard T Bryan
Journal:  Transl Androl Urol       Date:  2021-06

8.  Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma.

Authors:  Zhenhua Du; Xinyi Liu; Xiaojun Wei; Hongbo Luo; Peiyao Li; Mengting Shi; Bingqian Guo; Ying Cui; Zhenglin Su; Jifeng Zeng; Anfeng Si; Pengbo Cao; Gangqiao Zhou
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  8 in total

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