Article

Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy

Department of Urology, Huashan Hospital, FudanUniversity, Shanghai, 200040, China. .
Proteome Science (Impact Factor: 1.88). 04/2011; 9:22. DOI: 10.1186/1477-5956-9-22
Source: PubMed

ABSTRACT Proteomics may help us better understand the changes of multiple proteins involved in oncogenesis and progression of prostate cancer(PCa) and identify more diagnostic and prognostic biomarkers. The aim of this study was to screen biomarkers of PCa by the proteomics analysis using isobaric tags for relative and absolute quantification(iTRAQ).
The patients undergoing prostate biopsies were classified into 3 groups according to pathological results: benign prostate hyperplasia (BPH, n = 20), PCa(n = 20) and BPH with local prostatic intraepithelial neoplasm(PIN, n = 10). Then, all the specimens from these patients were analyzed by iTRAQ and two-dimensional liquid chromatography-tandem mass spectrometry (2DLC-MS/MS). The Gene Ontology(GO) function and the transcription regulation networks of the differentially expressed were analyzed by MetaCore software. Western blotting and Immunohistochemical staining were used to analyze the interesting proteins.
A total of 760 proteins were identified from 13787 distinct peptides, including two common proteins that enjoy clinical application: prostate specific antigen (PSA) and prostatic acid phosphatase(PAP). Proteins that expressed differentially between PCa and BPH group were further analyzed. Compared with BPH, 20 proteins were significantly differentially up-regulated (>1.5-fold) while 26 were significantly down-regulated in PCa(<0.66-fold). In term of GO database, the differentially expressed proteins were divided into 3 categories: cellular component(CC), molecular function (MF) and biological process(BP). The top 5 transcription regulation networks of the differentially expressed proteins were initiated through activation of SP1, p53, YY1, androgen receptor(AR) and c-Myc The overexpression of periostin in PCa was verified by western blotting and immunohistochemical staining.
Our study indicates that the iTRAQ technology is a new strategy for global proteomics analysis of the tissues of PCa. A significant up-regulation of periostin in PCa compared to BPH may provide clues for not only a promising biomarker for the prognosis of PCa but also a potential target for therapeutical intervention.

0 Bookmarks
 · 
118 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: Conventional therapeutic treatments for various cancers include chemotherapy, radiotherapy, hormonal therapy and immunotherapy. While such therapies have resulted in clinical responses, they were coupled with non-tumor specificity, toxicity and resistance in a large subset of the treated patients. During the last decade, novel approaches based on scientific knowledge on the biology of cancer were exploited and led to the development of novel targeted therapies, such as specific chemical inhibitors and immune-based therapies. Although these targeted therapies resulted in better responses and less toxicity, there still remains the problem of the inherent or acquired resistance. Hence, current studies are seeking additional novel therapeutic targets that can overcome several mechanisms of resistance. The transcription factor Yin Yang 1 (YY1) is an ubiquitous protein expressed in normal and cancer tissues, though the expression level is much higher in a large number of cancers; hence, YY1 has been considered as a potential novel prognostic biomarker and therapeutic target. YY1 has been reported to be involved in the regulation of drug/immune resistance and also in the regulation of EMT. Several excellent reviews have been published on YY1 and cancer (see below), and, thus, this review will update recently published reports as well as report on the analysis of bioinformatics datasets for YY1 in various cancers and the relationship between reported protein expression and mRNA levels. The potential clinical significance of YY1 is discussed. Copyright © 2015. Published by Elsevier Inc.
    Pharmacology [?] Therapeutics 01/2015; DOI:10.1016/j.pharmthera.2015.01.011 · 7.75 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: In our preliminary study, 1, 8-dihydroxy-3-acetyl-6-methyl-9, 10 anthraquinone (GXHSWAQ-1), synthesised according to the basic structure of emodin, exhibited a 1.58-fold radiosensitisation on nasopharyngeal carcinoma CNE-1 cells. This study demonstrated that its radiosensitisation activity was achieved by altering the mitochondrial structure: swollen volume, fragmented crista, and decreasing transmembrane potential (P<0.01). Using isobaric tag for relative and absolute quantitation (iTRAQ) technology, 1396 proteins were identified, and the differentially expressed proteins were involved in metabolism, cell proliferation, angiogenesis, DNA repair process according to the biological process clustering results. Bioinformatic analysis showed that CDH1, RAC1, CDC42 proteins might be mostly mitochondrial targets in the radiosensitisation process. Western blotting analyses verified the differential expression of these proteins.
    European Journal of Pharmacology 05/2014; DOI:10.1016/j.ejphar.2014.05.027 · 2.68 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Membranous nephropathy (MN) is a common cause of nephrotic syndrome in adults and the second leading cause of end-stage renal disease due to primary glomerulonephritis. The aim of the present study was to identify potential biomarkers of MN and further characterize these proteins by Gene Ontology (GO) analysis. Isobaric tags for relative and absolute quantification were used to compare the protein levels in tissues from MN patients and healthy individuals, and the combined samples were subsequently separated by specialized communications exchange. Mass spectrometry data acquisition was conducted using a 4800 Plus MALDI TOF/TOF tandem mass spectrometry device, and the results were subjected to statistical analysis. A total of 1,903 proteins were identified, with 423 proteins exhibiting a difference of >1.5-fold compared with the control group. Of these, 202 proteins were upregulated, while 221 proteins were downregulated. In conclusion, GO enrichment analysis revealed that the differentially expressed proteins were primarily mapped to the following GO terms: 'Immune response', 'immune effector process', 'activation of immune response' and 'positive regulation of immune system process'. The affected proteins may be associated with the pathogenesis of MN; thus, may represent candidate MN biomarkers.
    Experimental and therapeutic medicine 03/2015; 9(3):805-810. DOI:10.3892/etm.2015.2197 · 0.94 Impact Factor

Preview (3 Sources)

Download
0 Downloads
Available from