Literature DB >> 23631828

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

Chien-Lun Chen1, 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.   

Abstract

In this study, we evaluated the reproducibility of abundant urine protein depletion by hexapeptide-based library beads and an antibody-based affinity column using the iTRAQ technique. The antibody-based affinity-depletion approach, which proved superior, was then applied in conjunction with iTRAQ to discover proteins that were differentially expressed between pooled urine samples from hernia and bladder cancer patients. Several proteins, including seven apolipoproteins, TIM, SAA4, and proEGF were further verified in 111 to 203 individual urine samples from patients with hernia, bladder cancer, or kidney cancer. Six apolipoproteins (APOA1, APOA2, APOB, APOC2, APOC3, and APOE) were able to differentiate bladder cancer from hernia. SAA4 was significantly increased in bladder cancer subgroups, whereas ProEGF was significantly decreased in bladder cancer subgroups. Additionally, the combination of SAA4 and ProEGF exhibited higher diagnostic capacity (AUC=0.80 and p<0.001) in discriminating bladder cancer from hernia than either marker alone. Using MetaCore software to interpret global changes of the urine proteome caused by bladder cancer, we found that the most notable alterations were in immune-response/alternative complement and blood-coagulation pathways. This study confirmed the clinical significance of the urine proteome in the development of non-invasive biomarkers for the detection of bladder cancer. BIOLOGICAL SIGNIFICANCE: In this study, we evaluated the reproducibility of abundant urine protein depletion by hexapeptide-based library beads and an antibody-based affinity column using the iTRAQ technique. The antibody-based affinity-depletion approach, which proved superior, was then applied in conjunction with iTRAQ to discover proteins that were differentially expressed between pooled urine samples from hernia and bladder cancer patients. Several proteins, including seven apolipoproteins, TIM, SAA4, and proEGF were further verified in 111 to 203 individual urine samples from patients with hernia, bladder cancer, or kidney cancer. SAA4 was significantly increased in bladder cancer subgroups, whereas ProEGF was significantly decreased in bladder cancer subgroups. Additionally, the combination of SAA4 and ProEGF exhibited higher diagnostic capacity in discriminating bladder cancer from hernia than either marker alone. A marker panel composed by two novel biomarker candidates, SAA4 and proEGF, was first discovered and verified successfully using Western blotting. To the best of our knowledge, the associations of urinary SAA4 and proEGF with bladder tumor and kidney cancer have not been mentioned before. In the present study, we discovered and verified SAA4 and proEGF as potential bladder cancer biomarker for the first time.
Copyright © 2013 The Authors. Published by Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23631828     DOI: 10.1016/j.jprot.2013.04.024

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  34 in total

1.  Evaluation of urinary protein precipitation protocols for the multidisciplinary approach to the study of chronic pelvic pain research network.

Authors:  Karen R Jonscher; Andrea A Osypuk; Adrie van Bokhoven; M Scott Lucia
Journal:  J Biomol Tech       Date:  2014-12

Review 2.  Developing proteomic biomarkers for bladder cancer: towards clinical application.

Authors:  Maria Frantzi; Agnieszka Latosinska; Leif Flühe; Marie C Hupe; Elena Critselis; Mario W Kramer; Axel S Merseburger; Harald Mischak; Antonia Vlahou
Journal:  Nat Rev Urol       Date:  2015-05-26       Impact factor: 14.432

3.  Development of a test to identify bladder cancer in the urine of patients using mass spectroscopy and subcellular localization of the detected proteins.

Authors:  Stephen W Wilz; Dong Liu; Chaoxu Liu; Jinghua Yang
Journal:  Am J Transl Res       Date:  2015-08-15       Impact factor: 4.060

4.  External validation of a multiplex urinary protein panel for the detection of bladder cancer in a multicenter cohort.

Authors:  Li-Mei Chen; Myron Chang; Yunfeng Dai; Karl X Chai; Lars Dyrskjøt; Marta Sanchez-Carbayo; Tibor Szarvas; Ellen C Zwarthoff; Vinata Lokeshwar; Carmen Jeronimo; Alexander S Parker; Shanti Ross; Michael Borre; Torben F Orntoft; Tobias Jaeger; Willemien Beukers; Luis E Lopez; Rui Henrique; Paul R Young; Virginia Urquidi; Steve Goodison; Charles J Rosser
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-06-11       Impact factor: 4.254

Review 5.  Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids.

Authors:  Chaochao Wu; Jicheng Duan; Tao Liu; Richard D Smith; Wei-Jun Qian
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2016-01-12       Impact factor: 3.205

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

Authors:  Qimin Zhang; Shengsong Huang; Huarong Luo; Xin Zhao; Gang Wu; Denglong Wu
Journal:  Am J Cancer Res       Date:  2017-04-01       Impact factor: 6.166

7.  Three-Dimensionally Functionalized Reverse Phase Glycoprotein Array for Cancer Biomarker Discovery and Validation.

Authors:  Li Pan; Hillary Andaluz Aguilar; Linna Wang; Anton Iliuk; W Andy Tao
Journal:  J Am Chem Soc       Date:  2016-11-17       Impact factor: 15.419

8.  Comparative Tissue Proteomics of Microdissected Specimens Reveals Novel Candidate Biomarkers of Bladder Cancer.

Authors:  Chien-Lun Chen; Ting Chung; Chih-Ching Wu; Kwai-Fong Ng; Jau-Song Yu; Cheng-Han Tsai; Yu-Sun Chang; Ying Liang; Ke-Hung Tsui; Yi-Ting Chen
Journal:  Mol Cell Proteomics       Date:  2015-06-16       Impact factor: 5.911

9.  A multiplexed analysis approach identifies new association of inflammatory proteins in patients with overactive bladder.

Authors:  Emily Ma; Joel Vetter; Laura Bliss; H Henry Lai; Indira U Mysorekar; Sanjay Jain
Journal:  Am J Physiol Renal Physiol       Date:  2016-03-30

10.  High level of serum AMBP is associated with poor response to paclitaxel-capecitabine chemotherapy in advanced gastric cancer patients.

Authors:  Hao Huang; Yong Han; Jing Gao; Junnan Feng; Lei Zhu; Like Qu; Lin Shen; Chengchao Shou
Journal:  Med Oncol       Date:  2013-10-18       Impact factor: 3.064

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