Literature DB >> 17902641

Searching urinary tumor markers for bladder cancer using a two-dimensional differential gel electrophoresis (2D-DIGE) approach.

Esteban Orenes-Piñero1, Marta Cortón, Pilar González-Peramato, Ferrán Algaba, Ignacio Casal, Alvaro Serrano, Marta Sánchez-Carbayo.   

Abstract

Aiming at identifying biomarkers for bladder cancer, the urinary proteome was explored through a two-dimensional gel-based proteomic approach (2D-DIGE) coupled with mass spectrometry and database interrogation. The increased expression of proteins differentially expressed between patients with bladder tumors and controls such as Reg-1 and keratin 10 was confirmed to be associated with bladder cancer progression on bladder cancer cell lines by immunoblotting, and bladder tumors by immunohistochemistry. Moreover, the association of these proteins, especially Reg-1, with tumor staging and clinical outcome was confirmed by immunohistochemistry using an independent series of bladder tumors contained in tissue microarrays (n=292). Furthermore, Reg-1 was quantified using an independent series of urinary specimens (n=80) and provided diagnostic utility to discriminate patients with bladder cancer and controls (area under the curve (AUC=0.88)). Thus, the 2D-DIGE approach has identified Reg-1 as a biomarker for bladder cancer diagnostics, staging, and outcome prognosis.

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Year:  2007        PMID: 17902641     DOI: 10.1021/pr070368w

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  25 in total

1.  One-step sample concentration, purification, and albumin depletion method for urinary proteomics.

Authors:  Ali R Vaezzadeh; Andrew C Briscoe; Hanno Steen; Richard S Lee
Journal:  J Proteome Res       Date:  2010-10-15       Impact factor: 4.466

Review 2.  Methods and approaches for the comprehensive characterization and quantification of cellular proteomes using mass spectrometry.

Authors:  Shama P Mirza; Michael Olivier
Journal:  Physiol Genomics       Date:  2007-12-27       Impact factor: 3.107

Review 3.  Proteomic studies of urinary biomarkers for prostate, bladder and kidney cancers.

Authors:  Steven L Wood; Margaret A Knowles; Douglas Thompson; Peter J Selby; Rosamonde E Banks
Journal:  Nat Rev Urol       Date:  2013-02-26       Impact factor: 14.432

4.  Identification of novel serological tumor markers for human prostate cancer using integrative transcriptome and proteome analysis.

Authors:  Zhao-dong Han; Yan-qiong Zhang; Hui-chan He; Qi-shan Dai; Guo-qiang Qin; Jia-hong Chen; Chao Cai; Xin Fu; Xue-cheng Bi; Jian-guo Zhu; Dong-jiang Liao; Xin-peng Lu; Zi-yao Mo; Yun-ping Zhu; Wei-de Zhong
Journal:  Med Oncol       Date:  2012-01-04       Impact factor: 3.064

Review 5.  Molecular diagnostic trends in urological cancer: biomarkers for non-invasive diagnosis.

Authors:  V Urquidi; C J Rosser; S Goodison
Journal:  Curr Med Chem       Date:  2012       Impact factor: 4.530

6.  Profilin 1 is a potential biomarker for bladder cancer aggressiveness.

Authors:  Jerome Zoidakis; Manousos Makridakis; Panagiotis G Zerefos; Vasiliki Bitsika; Sergio Esteban; Maria Frantzi; Konstantinos Stravodimos; Nikolaos P Anagnou; Maria G Roubelakis; Marta Sanchez-Carbayo; Antonia Vlahou
Journal:  Mol Cell Proteomics       Date:  2011-12-08       Impact factor: 5.911

7.  Urinary glycoprotein biomarker discovery for bladder cancer detection using LC/MS-MS and label-free quantification.

Authors:  Na Yang; Shun Feng; Kerby Shedden; Xiaolei Xie; Yashu Liu; Charles J Rosser; David M Lubman; Steven Goodison
Journal:  Clin Cancer Res       Date:  2011-04-01       Impact factor: 12.531

8.  Novel biomarkers predict liver fibrosis in hepatitis C patients: alpha 2 macroglobulin, vitamin D binding protein and apolipoprotein AI.

Authors:  Ai-Sheng Ho; Chun-Chia Cheng; Shui-Cheng Lee; Meng-Lun Liu; Jing-Ying Lee; Wen-Ming Wang; Chia-Chi Wang
Journal:  J Biomed Sci       Date:  2010-07-15       Impact factor: 8.410

Review 9.  Urinary proteomic profiling for diagnostic bladder cancer biomarkers.

Authors:  Steve Goodison; Charles J Rosser; Virginia Urquidi
Journal:  Expert Rev Proteomics       Date:  2009-10       Impact factor: 3.940

10.  Gelsolin and ceruloplasmin as potential predictive biomarkers for cervical cancer by 2D-DIGE proteomics analysis.

Authors:  Ilambarthi Lokamani; Mee-Lee Looi; Siti Aishah Md Ali; Ahmad Zailani Hatta Mohd Dali; Muhammad Azrif Ahmad Annuar; Rahman Jamal
Journal:  Pathol Oncol Res       Date:  2013-08-08       Impact factor: 3.201

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