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

M Zhang, L Chen, Z Yuan, Z Yang, Y Li… - Discovery …, 2016 - discoverymedicine.com
M Zhang, L Chen, Z Yuan, Z Yang, Y Li, L Shan, B Yin, X Fei, J Miao, Y Song
Discovery medicine, 2016discoverymedicine.com
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 …
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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