Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1782204166252265472 |
---|---|
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. |
format | Text |
id | pubmed-3100237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sunchuanyu periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy AT songchao periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy AT mazhicheng periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy AT xuke periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy AT zhangyang periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy AT jinhong periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy AT tongshijun periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy AT dingweihong periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy AT xiaguowei periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy AT dingqiang periostinidentifiedasapotentialbiomarkerofprostatecancerbyitraqproteomicsanalysisofprostatebiopsy |