Literature DB >> 28009970

Combined serum and EPS-urine proteomic analysis using iTRAQ technology for discovery of potential prostate cancer biomarkers.

Mo Zhang1, Lizhu Chen2, Zhengwei Yuan3, Zeyu Yang2, Yue Li4, Liping Shan1, Bo Yin1, Xiang Fei1, Jianing Miao3, Yongsheng Song1.   

Abstract

Prostate cancer (PCa) is one of the most common malignant tumors and a major cause of cancer-related death for men worldwide. The aim of our study was to identify potential non-invasive serum and expressed prostatic secretion (EPS)-urine biomarkers for accurate diagnosis of PCa. Here, we performed a combined isobaric tags for relative and absolute quantification (iTRAQ) proteomic analysis to compare protein profiles using pooled serum and EPS-urine samples from 4 groups of patients: benign prostate hyperplasia (BPH), high grade prostatic intraepithelial neoplasia (HGPIN), localized PCa and metastatic PCa. The differentially expressed proteins were rigorously selected and further validated in a large and independent cohort using classical ELISA and Western blot assays. Finally, we established a multiplex biomarker panel consisting of 3 proteins (serum PF4V1, PSA, and urinary CRISP3) with an excellent diagnostic capacity to differentiate PCa from BPH [area under the receiver operating characteristic curve (AUC) of 0.941], which showed an evidently greater discriminatory ability than PSA alone (AUC, 0.757) (P<0.001). Importantly, even when PSA level was in the gray zone (4-10 ng/mL), a combination of PF4V1 and CRISP3 could achieve a relatively high diagnostic efficacy (AUC, 0.895). Furthermore, their combination also had the potential to distinguish PCa from HGPIN (AUC, 0.934). Our results demonstrated that the combined application of serum and EPS-urine biomarkers can improve the diagnosis of PCa and provide a new prospect for non-invasive PCa detection.

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Year:  2016        PMID: 28009970

Source DB:  PubMed          Journal:  Discov Med        ISSN: 1539-6509            Impact factor:   2.970


  9 in total

Review 1.  Proteomic discovery of non-invasive biomarkers of localized prostate cancer using mass spectrometry.

Authors:  Amanda Khoo; Lydia Y Liu; Julius O Nyalwidhe; O John Semmes; Danny Vesprini; Michelle R Downes; Paul C Boutros; Stanley K Liu; Thomas Kislinger
Journal:  Nat Rev Urol       Date:  2021-08-27       Impact factor: 14.432

2.  Downregulation of serum CXCL4L1 predicts progression and poor prognosis in prostate cancer patients treated by radical prostatectomy.

Authors:  Mo Zhang; Johnny Guan; Yun-Long Huo; Yong-Sheng Song; Li-Zhu Chen
Journal:  Asian J Androl       Date:  2019 Jul-Aug       Impact factor: 3.285

3.  Prognostic value of serum alkaline phosphatase in the survival of prostate cancer: evidence from a meta-analysis.

Authors:  Dongyang Li; Hang Lv; Xuanyu Hao; Bin Hu; Yongsheng Song
Journal:  Cancer Manag Res       Date:  2018-08-30       Impact factor: 3.989

4.  PF4V1, an miRNA-875-3p target, suppresses cell proliferation, migration, and invasion in prostate cancer and serves as a potential prognostic biomarker.

Authors:  Dongyang Li; Xuanyu Hao; Yudi Dong; Mo Zhang; Yongsheng Song
Journal:  Cancer Manag Res       Date:  2019-03-21       Impact factor: 3.989

Review 5.  Approaches to urinary detection of prostate cancer.

Authors:  Jillian N Eskra; Daniel Rabizadeh; Christian P Pavlovich; William J Catalona; Jun Luo
Journal:  Prostate Cancer Prostatic Dis       Date:  2019-01-17       Impact factor: 5.554

Review 6.  A New Era of Prostate Cancer Precision Medicine.

Authors:  Adil Malik; Srilakshmi Srinivasan; Jyotsna Batra
Journal:  Front Oncol       Date:  2019-11-26       Impact factor: 6.244

7.  LMTK2 as Potential Biomarker for Stratification between Clinically Insignificant and Clinically Significant Prostate Cancer.

Authors:  Alvydas Vezelis; Julija Simiene; Daiva Dabkeviciene; Marius Kincius; Albertas Ulys; Kestutis Suziedelis; Sonata Jarmalaite; Feliksas Jankevicius
Journal:  J Oncol       Date:  2021-01-05       Impact factor: 4.375

8.  A Combined CRISP3 and SPINK1 Prognostic Grade in EPS-Urine and Establishment of Models to Predict Prognosis of Patients With Prostate Cancer.

Authors:  Lizhu Chen; Enchong Zhang; Johnny Guan; Zhengjie Chen; Jianfeng Ye; Wangmin Liu; Jieqian He; Bo Yin; Yongsheng Song; Mo Zhang
Journal:  Front Med (Lausanne)       Date:  2022-02-17

9.  Identification of Urinary Biomarkers for Exercise-Induced Immunosuppression by iTRAQ Proteomics.

Authors:  Guoqin Xu; Wentao Lin; Andrew J McAinch; Xu Yan; Xiquan Weng
Journal:  Biomed Res Int       Date:  2020-01-23       Impact factor: 3.411

  9 in total

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