Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer

Proteome Science

Research Article

Natasha Chokrevska Zografska¹  Selim Komina²  Gordana Petrusevska²  Momir Polenakovic³  Sanja Kiprijanovska³  Katarina Davalieva³ 

[1] Biochemical laboratory, Clinical Hospital “Acibadem Sistina”, Skopje, Republic of Macedonia;Institute of Pathology, Medical Faculty, University “St. Cyril and Methodius”, Skopje, Republic of Macedonia;Research Centre for Genetic Engineering and Biotechnology “Georgi D Efremov”, Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000, Skopje, Republic of Macedonia;

关键词: Prostate cancer;    Benign prostate hyperplasia;    2-D DIGE;    MS;    Urine analysis;    Non-invasive biomarkers;   

DOI  :  10.1186/s12953-014-0059-9

 received in 2014-10-03, accepted in 2014-12-22,  发布年份 2015

来源: Springer

【 摘 要 】

Despite the overall success of prostate specific antigen (PSA) in screening and detection of prostate cancer (PCa), its use has been limited due to the lack of specificity. The principal driving goal currently within PCa research is to identify non-invasive biomarker(s) for early detection of aggressive tumors with greater sensitivity and specificity than PSA. In this study, we focused on identification of non-invasive biomarkers in urine with higher specificity than PSA. We tested urine samples from PCa and benign prostatic hyperplasia (BPH) patients by 2-D DIGE coupled with MS and bioinformatics analysis. Statistically significant (p < 0.05), 1.8 fold variation or more in abundance, showed 41 spots, corresponding to 23 proteins. The Ingenuity Pathway Analysis showed significant association with the Acute Phase Response Signaling pathway. Nine proteins with differential abundances were included in this pathway: AMBP, APOA1, FGA, FGG, HP, ITIH4, SERPINA1, TF and TTR. The expression pattern of 4 acute phase response proteins differed from the defined expression in the canonical pathway. The urine levels of TF, AMPB and HP were measured by immunoturbidimetry in an independent validation set. The concentration of AMPB in urine was significantly higher in PCa while levels of TF and HP were opposite (p < 0.05). The AUC for the individual proteins ranged from 0.723 to 0.754. The combination of HP and AMBP yielded the highest accuracy (AUC = 0.848), greater than PSA. The proposed biomarker set is quickly quantifiable and economical with potential to improve the sensitivity and specificity of PCa detection.

【 授权许可】

CC BY   
© Davalieva et al.; licensee BIoMed Central. 2015