Literature DB >> 19053527

Biomarker discovery in low-grade breast cancer using isobaric stable isotope tags and two-dimensional liquid chromatography-tandem mass spectrometry (iTRAQ-2DLC-MS/MS) based quantitative proteomic analysis.

Pavel Bouchal1, Theodoros Roumeliotis, Roman Hrstka, Rudolf Nenutil, Borivoj Vojtesek, Spiros D Garbis.   

Abstract

The present pilot study constitutes a proof-of-principle in the use of a quantitative LC-MS/MS based proteomic method for the comparative analysis of representative low-grade breast primary tumor tissues with and without metastases and metastasis in lymph node relative to the nonmetastatic tumor type. The study method incorporated iTRAQ stable isotope labeling, two-dimensional liquid chromatography, nanoelectrospray ionization and high resolution tandem mass spectrometry using the hybrid QqTOF platform (iTRAQ-2DLC-MS/MS). The principal aims of this study were (1) to define the protein spectrum obtainable using this approach, and (2) to highlight potential candidates for verification and validation studies focused on biomarkers involved in metastatic processes in breast cancer. The study resulted in the reproducible identification of 605 nonredundant proteins (p < or = 0.05). A quantitative comparison revealed 3/3 proteins with significantly increased/decreased level in metastatic primary tumor and 13/6 proteins with increased/decreased level in lymph node metastasis compared to nonmetastatic primary tumor (p < 0.01). Changes in selected differentially expressed proteins were verified with qRT-PCR. Although our pilot scale study does not warrant general biological conclusions, the synergic regulation of some proteins with related function (e.g., heme binding proteins, proteins of energetic metabolism, interferon induced proteins, proteins with adhesive function) determined in our sample set reflects the ability of our method in providing biologically meaningful data. The main conclusion from this pilot study was that our quantitative proteomic method constitutes a novel way of analyzing cancerous breast tissue biopsy samples that can be extended as part of a larger scale biomarker discovery program.

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Year:  2009        PMID: 19053527     DOI: 10.1021/pr800622b

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


  31 in total

1.  A proteomic approach for plasma biomarker discovery with 8-plex iTRAQ labeling and SCX-LC-MS/MS.

Authors:  Haige Ye; Li Sun; Xiaojun Huang; Ping Zhang; Xiaoshu Zhao
Journal:  Mol Cell Biochem       Date:  2010-06-05       Impact factor: 3.396

2.  Simultaneous analysis of relative protein expression levels across multiple samples using iTRAQ isobaric tags with 2D nano LC-MS/MS.

Authors:  Richard D Unwin; John R Griffiths; Anthony D Whetton
Journal:  Nat Protoc       Date:  2010-08-26       Impact factor: 13.491

3.  Combined Proteomics and Transcriptomics Identifies Carboxypeptidase B1 and Nuclear Factor κB (NF-κB) Associated Proteins as Putative Biomarkers of Metastasis in Low Grade Breast Cancer.

Authors:  Pavel Bouchal; Monika Dvořáková; Theodoros Roumeliotis; Zbyněk Bortlíček; Ivana Ihnatová; Iva Procházková; Jenny T C Ho; Josef Maryáš; Hana Imrichová; Eva Budinská; Rostislav Vyzula; Spiros D Garbis; Bořivoj Vojtěšek; Rudolf Nenutil
Journal:  Mol Cell Proteomics       Date:  2015-04-22       Impact factor: 5.911

4.  Proteomic studies in breast cancer (Review).

Authors:  Xian-Ju Qin; Bruce X Ling
Journal:  Oncol Lett       Date:  2012-01-18       Impact factor: 2.967

5.  Differential expression of serum proteins in rats subchronically exposed to arsenic identified by iTRAQ-based proteomic technology-14-3-3 ζ protein to serve as a potential biomarker.

Authors:  Jin Hui Zhang; Ying Li; Xuan Bo Song; Xiao Hong Ji; Hong Na Sun; Hui Wang; Song Bin Fu; Li Jun Zhao; Dian Jun Sun
Journal:  Toxicol Res (Camb)       Date:  2016-02-01       Impact factor: 3.524

Review 6.  Multi-dimensional liquid chromatography in proteomics--a review.

Authors:  Xiang Zhang; Aiqin Fang; Catherine P Riley; Mu Wang; Fred E Regnier; Charles Buck
Journal:  Anal Chim Acta       Date:  2010-02-06       Impact factor: 6.558

7.  Differential proteomic analysis of renal tissue in lupus nephritis using iTRAQ reagent technology.

Authors:  Weiguo Sui; Donge Tang; Guimian Zou; Jiejing Chen; Minglin Ou; Yue Zhang; Yong Dai
Journal:  Rheumatol Int       Date:  2011-11-16       Impact factor: 2.631

8.  Prosaposin down-modulation decreases metastatic prostate cancer cell adhesion, migration, and invasion.

Authors:  Siyi Hu; Nathalie Delorme; Zhenzhen Liu; Tao Liu; Cruz Velasco-Gonzalez; Jone Garai; Ashok Pullikuth; Shahriar Koochekpour
Journal:  Mol Cancer       Date:  2010-02-04       Impact factor: 27.401

Review 9.  Applying mass spectrometry based proteomic technology to advance the understanding of multiple myeloma.

Authors:  Johann Micallef; Moyez Dharsee; Jian Chen; Suzanne Ackloo; Ken Evans; Luqui Qiu; Hong Chang
Journal:  J Hematol Oncol       Date:  2010-04-07       Impact factor: 17.388

10.  dbDEPC: a database of differentially expressed proteins in human cancers.

Authors:  Hong Li; Ying He; Guohui Ding; Chuan Wang; Lu Xie; Yixue Li
Journal:  Nucleic Acids Res       Date:  2009-11-09       Impact factor: 16.971

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