Literature DB >> 21305254

Proteomics-based signature for human benign prostate hyperplasia and prostate adenocarcinoma.

Ayodele A Alaiya1, Mai Al-Mohanna, Muhammad Aslam, Zakia Shinwari, Layla Al-Mansouri, Maha Al-Rodayan, Maha Al-Eid, Irfan Ahmad, Kamal Hanash, Asma Tulbah, Ali Bin Mahfooz, Chaker Adra.   

Abstract

Prostate adenocarcinoma often presents at a late stage, due to a lack of early clinical symptoms and lack of accurate objective markers. This study aimed to identify and validate proteomics-based biomarkers useful for prostate cancer diagnosis and to establish a marker-panel for prostate cancer and benign prostate hyperplasia (BPH). Global protein expression patterns in fresh tissue specimens from 8 patients with prostate carcinoma and 16 with BPH were analyzed by two-dimensional gel electrophoresis. Differentially expressed proteins were identified by MALDI-TOF mass spectrometry. We compared our results with those of published studies and defined a set of common biomarkers. We identified 22 differentially expressed proteins between BPH and prostate carcinomas. The up-regulated proteins in cancer compared to BPH included protein disulfide-isomerase, 14-3-3-protein, Enoyl CoA-hydrase, prohibitin and B-tubulin β-2. Keratin-II, desmin, HSP71, ATP-synthase-β-chain and creatine kinase-β-chain were down-regulated. Survey of the literature showed that 15 of our 22 identified proteins have been previously reported to differ in their expression levels between BPH and prostate cancer by other laboratories. The expression patterns of these biomarkers could successfully cluster BPH and adenocarcinomas as well as prostate cancer of low and high Gleason scores. This study validates protein-biomarkers that can be useful for accurate diagnosis and prognostic monitoring of prostate adenocarcinoma. Despite varied prevalence of the disease between different ethnic populations (i.e., high in Sweden, low in Saudi Arabia); the biomarkers indicate that BPH and prostate cancers are biologically 'homogeneous' in their protein expression patterns across wide geographical regions.

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Year:  2011        PMID: 21305254     DOI: 10.3892/ijo.2011.937

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  19 in total

1.  Database-augmented Mass Spectrometry Analysis of Exosomes Identifies Claudin 3 as a Putative Prostate Cancer Biomarker.

Authors:  Thomas Stefan Worst; Jost von Hardenberg; Julia Christina Gross; Philipp Erben; Martina Schnölzer; Ingrid Hausser; Peter Bugert; Maurice Stephan Michel; Michael Boutros
Journal:  Mol Cell Proteomics       Date:  2017-04-09       Impact factor: 5.911

2.  Proteomic profiling of androgen-independent prostate cancer cell lines reveals a role for protein S during the development of high grade and castration-resistant prostate cancer.

Authors:  Punit Saraon; Natasha Musrap; Daniela Cretu; George S Karagiannis; Ihor Batruch; Chris Smith; Andrei P Drabovich; Dominique Trudel; Theodorus van der Kwast; Colm Morrissey; Keith A Jarvi; Eleftherios P Diamandis
Journal:  J Biol Chem       Date:  2012-08-20       Impact factor: 5.157

3.  Preapoptotic protease calpain-2 is frequently suppressed in adult T-cell leukemia.

Authors:  Makoto Ishihara; Natsumi Araya; Tomoo Sato; Ayako Tatsuguchi; Naomi Saichi; Atae Utsunomiya; Yusuke Nakamura; Hidewaki Nakagawa; Yoshihisa Yamano; Koji Ueda
Journal:  Blood       Date:  2013-03-28       Impact factor: 22.113

4.  Quantitative proteomics reveals that enzymes of the ketogenic pathway are associated with prostate cancer progression.

Authors:  Punit Saraon; Daniela Cretu; Natasha Musrap; George S Karagiannis; Ihor Batruch; Andrei P Drabovich; Theodorus van der Kwast; Atsushi Mizokami; Colm Morrissey; Keith Jarvi; Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2013-02-26       Impact factor: 5.911

5.  Rac1 activation driven by 14-3-3ζ dimerization promotes prostate cancer cell-matrix interactions, motility and transendothelial migration.

Authors:  Anna Goc; Maha Abdalla; Ahmad Al-Azayzih; Payaningal R Somanath
Journal:  PLoS One       Date:  2012-07-13       Impact factor: 3.240

Review 6.  Novel approaches for the identification of biomarkers of aggressive prostate cancer.

Authors:  Yunee Kim; Thomas Kislinger
Journal:  Genome Med       Date:  2013-06-28       Impact factor: 11.117

7.  Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer.

Authors:  Katarina Davalieva; Sanja Kiprijanovska; Selim Komina; Gordana Petrusevska; Natasha Chokrevska Zografska; Momir Polenakovic
Journal:  Proteome Sci       Date:  2015-01-29       Impact factor: 2.480

8.  Bioinformatics analysis of differentially expressed proteins in prostate cancer based on proteomics data.

Authors:  Chen Chen; Li-Guo Zhang; Jian Liu; Hui Han; Ning Chen; An-Liang Yao; Shao-San Kang; Wei-Xing Gao; Hong Shen; Long-Jun Zhang; Ya-Peng Li; Feng-Hong Cao; Zhi-Guo Li
Journal:  Onco Targets Ther       Date:  2016-03-16       Impact factor: 4.147

9.  Inhibitory effect of rape pollen supercritical CO2 fluid extract against testosterone-induced benign prostatic hyperplasia in rats.

Authors:  Bi-Cheng Yang; Li-Li Jin; Yi-Fang Yang; Kun Li; Dan-Ming Peng
Journal:  Exp Ther Med       Date:  2014-04-14       Impact factor: 2.447

10.  Differential marker expression by cultures rich in mesenchymal stem cells.

Authors:  Andrew Wetzig; Ayodele Alaiya; Monther Al-Alwan; Christian Benedict Pradez; Manogaran S Pulicat; Amer Al-Mazrou; Zakia Shinwari; Ghida Majed Sleiman; Hazem Ghebeh; Hind Al-Humaidan; Ameera Gaafar; Imaduddin Kanaan; Chaker Adra
Journal:  BMC Cell Biol       Date:  2013-12-05       Impact factor: 4.241

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