Comparative Proteomics Analysis of Urine Reveals Down-Regulation of Acute Phase Response Signaling and LXR/RXR Activation Pathways in Prostate Cancer

被引:42
作者
Davalieva, Katarina [1 ]
Kiprijanovska, Sanja [1 ]
Kostovska, Ivana Maleva [1 ]
Stavridis, Sotir [2 ]
Stankov, Oliver [2 ]
Komina, Selim [3 ]
Petrusevska, Gordana [3 ]
Polenakovic, Momir [1 ]
机构
[1] Macedonian Acad Sci & Arts, Res Ctr Genet Engn & Biotechnol Georgi D Efremov, Krste Misirkov 2, Skopje 1000, Macedonia
[2] Univ Clin Ctr Mother Theresa, Univ Clin Urol, Skopje 1000, Macedonia
[3] Univ St Cyril & Methodius, Inst Pathol, Fac Med, Skopje 1000, Macedonia
来源
PROTEOMES | 2018年 / 6卷 / 01期
关键词
proteomics; non-invasive biomarker; prostate cancer; urine; LC-MS/MS; 2-D DIGE/MS;
D O I
10.3390/proteomes6010001
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Detecting prostate cancer (PCa) using non-invasive diagnostic markers still remains a challenge. The aim of this study was the identification of urine proteins that are sufficiently sensitive and specific to detect PCa in the early stages. Comparative proteomics profiling of urine from patients with PCa, benign prostate hyperplasia, bladder cancer, and renal cancer, coupled with bioinformatics analysis, were performed. Statistically significant difference in abundance showed 20 and 85 proteins in the 2-D DIGE/MS and label-free LC-MS/MS experiments, respectively. In silico analysis indicated activation, binding, and cell movement of subset of immune cells as the top affected cellular functions in PCa, together with the down-regulation of Acute Phase Response Signaling and Liver X Receptor/ Retinoid X Receptor (LXR/RXR) activation pathways. The most promising biomarkers were 35, altered in PCa when compared to more than one group. Half of these have confirmed localization in normal or PCa tissues. Twenty proteins (CD14, AHSG, ENO1, ANXA1, CLU, COL6A1, C3, FGA, FGG, HPX, PTGDS, S100A9, LMAN2, ITIH4, ACTA2, GRN, HBB, PEBP1, CTSB, SPP1) are oncogenes, tumor suppressors, and multifunctional proteins with highly confirmed involvement in PCa, while 9 (AZU1, IGHG1, RNASE2, PZP, REG1A, AMY1A, AMY2A, ACTG2, COL18A1) have been associated with different cancers, but not with PCa so far, and may represent novel findings. LC-MS/MS data are available via ProteomeXchange with identifier PXD008407.
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页数:25
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