ArticleProteome science2011
Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy.
Article in Proteome science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 46 citations in OpenAlex.
- Deciphering Cancer Complexity: Integrative Proteogenomics and Proteomics Approaches for Biomarker Discovery.Methods in molecular biology (Clifton, N.J.) · 2025Review
- The Potential of Extracellular Matrix- and Integrin Adhesion Complex-Related Molecules for Prostate Cancer Biomarker Discovery.Biomedicines · 2023Review
- Protein Biomarker Discovery Studies on Urinary sEV Fractions Separated with UF-SEC for the First Diagnosis and Detection of Recurrence in Bladder Cancer Patients.Biomolecules · 2023Article
- Potential Role of Seven Proteomics Tissue Biomarkers for Diagnosis and Prognosis of Prostate Cancer in Urine.Diagnostics (Basel, Switzerland) · 2022Article
- Characterization of Proteins Regulated by Androgen and Protein Kinase a Signaling in VCaP Prostate Cancer Cells.Biomedicines · 2021Article
- The MYH9 Cytoskeletal Protein Is a Novel Corepressor of Androgen Receptors.Frontiers in oncology · 2021Article
- Challenges and Opportunities in Clinical Applications of Blood-Based Proteomics in Cancer.Cancers · 2020Review
- Comparative proteomic analysis of human serum before and after liver transplantation using quantitative proteomics.Oncotarget · 2019Article
- Promise and Implementation of Proteomic Prostate Cancer Biomarkers.Diagnostics (Basel, Switzerland) · 2018Review
- Application of Isobaric Tags for Relative and Absolute Quantification (iTRAQ) Coupled with Two-Dimensional Liquid Chromatography/Tandem Mass Spectrometry in Quantitative Proteomic Analysis for Discovery of Serum Biomarkers for Idiopathic Pulmonary Fibrosis.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
- Prostate cancer proteomics: Current trends and future perspectives for biomarker discovery.Oncotarget · 2017Review
- Construction and analysis of protein-protein interaction networks based on proteomics data of prostate cancer.International journal of molecular medicine · 2016Article
- Targeted proteomic approach in prostatic tissue: a panel of potential biomarkers for cancer detection.Oncoscience · 2016Article
- Bioinformatics analysis of differentially expressed proteins in prostate cancer based on proteomics data.OncoTargets and therapy · 2016Article
- Combined cardiomyocyte PKCδ and PKCε gene deletion uncovers their central role in restraining developmental and reactive heart growth.Science signaling · 2015Article
- Comparative proteomic analysis of membranous nephropathy biopsy tissues using quantitative proteomics.Experimental and therapeutic medicine · 2015Article
- Comparative proteomics analysis suggests that placental mitochondria are involved in the development of pre-eclampsia.PloS one · 2013Article
- Yin Yang 1 extends the Myc-related transcription factors network in embryonic stem cells.Nucleic acids research · 2012Article
- Quantitative glycoproteomic analysis of optimal cutting temperature-embedded frozen tissues identifying glycoproteins associated with aggressive prostate cancer.Analytical chemistry · 2011Article
- Periostin: a promising target of therapeutical intervention for prostate cancer.Journal of translational medicine · 2011Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProteomics 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).
methodsThe 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.
resultA 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.
conclusionOur 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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Registered trials
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