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

BACKGROUND: 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 isobari...

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Autores principales: Sun, Chuanyu, Song, Chao, Ma, Zhicheng, Xu, Ke, Zhang, Yang, Jin, Hong, Tong, Shijun, Ding, Weihong, Xia, Guowei, Ding, Qiang
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3100237/
https://www.ncbi.nlm.nih.gov/pubmed/21504578
http://dx.doi.org/10.1186/1477-5956-9-22
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author Sun, Chuanyu
Song, Chao
Ma, Zhicheng
Xu, Ke
Zhang, Yang
Jin, Hong
Tong, Shijun
Ding, Weihong
Xia, Guowei
Ding, Qiang
author_facet Sun, Chuanyu
Song, Chao
Ma, Zhicheng
Xu, Ke
Zhang, Yang
Jin, Hong
Tong, Shijun
Ding, Weihong
Xia, Guowei
Ding, Qiang
author_sort Sun, Chuanyu
collection PubMed
description BACKGROUND: 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). METHODS: 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. RESULT: 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. CONCLUSION: 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.
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spelling pubmed-31002372011-05-24 Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy Sun, Chuanyu Song, Chao Ma, Zhicheng Xu, Ke Zhang, Yang Jin, Hong Tong, Shijun Ding, Weihong Xia, Guowei Ding, Qiang Proteome Sci Research BACKGROUND: 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). METHODS: 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. RESULT: 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. CONCLUSION: 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. BioMed Central 2011-04-19 /pmc/articles/PMC3100237/ /pubmed/21504578 http://dx.doi.org/10.1186/1477-5956-9-22 Text en Copyright ©2011 Sun et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Sun, Chuanyu
Song, Chao
Ma, Zhicheng
Xu, Ke
Zhang, Yang
Jin, Hong
Tong, Shijun
Ding, Weihong
Xia, Guowei
Ding, Qiang
Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy
title Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy
title_full Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy
title_fullStr Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy
title_full_unstemmed Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy
title_short Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy
title_sort periostin identified as a potential biomarker of prostate cancer by itraq-proteomics analysis of prostate biopsy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3100237/
https://www.ncbi.nlm.nih.gov/pubmed/21504578
http://dx.doi.org/10.1186/1477-5956-9-22
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