Literature DB >> 18553995

Search for potential markers for prostate cancer diagnosis, prognosis and treatment in clinical tissue specimens using amine-specific isobaric tagging (iTRAQ) with two-dimensional liquid chromatography and tandem mass spectrometry.

Spiros D Garbis1, Stavros I Tyritzis, Theodoros Roumeliotis, Panagiotis Zerefos, Eugenia G Giannopoulou, Antonia Vlahou, Sophia Kossida, Jose Diaz, Stavros Vourekas, Constantin Tamvakopoulos, Kitty Pavlakis, Despina Sanoudou, Constantinos A Constantinides.   

Abstract

This study aimed to identify candidate new diagnosis and prognosis markers and medicinal targets of prostate cancer (PCa), using state of the art proteomics. A total of 20 prostate tissue specimens from 10 patients with benign prostatic hyperplasia (BPH) and 10 with PCa (Tumour Node Metastasis [TNM] stage T1-T3) were analyzed by isobaric stable isotope labeling (iTRAQ) and two-dimensional liquid chromatography-tandem mass spectrometry (2DLC-MS/MS) approaches using a hybrid quadrupole time-of-flight system (QqTOF). The study resulted in the reproducible identification of 825 nonredundant gene products (p < or = 0.05) of which 30 exhibited up-regulation (> or =2-fold) and another 35 exhibited down-regulation (< or =0.5-fold) between the BPH and PCa specimens constituting a major contribution toward their global proteomic assessment. Selected findings were confirmed by immunohistochemical analysis of prostate tissue specimens. The proteins determined support existing knowledge and uncover novel and promising PCa biomarkers. The PCa proteome found can serve as a useful aid for the identification of improved diagnostic and prognostic markers and ultimately novel chemopreventive and therapeutic targets.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18553995     DOI: 10.1021/pr800060r

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


  23 in total

1.  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

2.  A robust error model for iTRAQ quantification reveals divergent signaling between oncogenic FLT3 mutants in acute myeloid leukemia.

Authors:  Yi Zhang; Manor Askenazi; Jingrui Jiang; C John Luckey; James D Griffin; Jarrod A Marto
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

Review 3.  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

4.  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

5.  In-depth proteomic analyses of direct expressed prostatic secretions.

Authors:  Richard R Drake; Sarah Elschenbroich; Orlay Lopez-Perez; Yunee Kim; Vladimir Ignatchenko; Alex Ignatchenko; Julius O Nyalwidhe; Gaurav Basu; Christopher E Wilkins; Breanne Gjurich; Raymond S Lance; O John Semmes; Jeffrey A Medin; Thomas Kislinger
Journal:  J Proteome Res       Date:  2010-05-07       Impact factor: 4.466

6.  Sialylated Lewis x antigen bearing glycoproteins in human plasma.

Authors:  Wonryeon Cho; Kwanyoung Jung; Fred E Regnier
Journal:  J Proteome Res       Date:  2010-10-11       Impact factor: 4.466

7.  Differential protein expression profiling by iTRAQ-two-dimensional LC-MS/MS of human bladder cancer EJ138 cells transfected with the metastasis suppressor KiSS-1 gene.

Authors:  Isabel Ruppen; Laura Grau; Esteban Orenes-Piñero; Keith Ashman; Marta Gil; Ferrán Algaba; Joaquin Bellmunt; Marta Sánchez-Carbayo
Journal:  Mol Cell Proteomics       Date:  2010-02-05       Impact factor: 5.911

8.  Quantitative proteomic profiling of prostate cancer reveals a role for miR-128 in prostate cancer.

Authors:  Amjad P Khan; Laila M Poisson; Vadiraja B Bhat; Damian Fermin; Rong Zhao; Shanker Kalyana-Sundaram; George Michailidis; Alexey I Nesvizhskii; Gilbert S Omenn; Arul M Chinnaiyan; Arun Sreekumar
Journal:  Mol Cell Proteomics       Date:  2009-11-09       Impact factor: 5.911

9.  Quantitative analysis of age specific variation in the abundance of human female parotid salivary proteins.

Authors:  Kiran S Ambatipudi; Bingwen Lu; Fred K Hagen; James E Melvin; John R Yates
Journal:  J Proteome Res       Date:  2009-11       Impact factor: 4.466

10.  Do racial disparities exist in the use of prostate cancer screening and detection tools in veterans?

Authors:  M'Liss A Hudson; Suhong Luo; Timothy Chrusciel; Yan Yan; Robert L Grubb; Kenneth Carson; Jeffrey F Scherrer
Journal:  Urol Oncol       Date:  2013-03-15       Impact factor: 3.498

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.