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Science China Life Sciences

, Volume 56, Issue 7, pp 638–646

First Online: 08 June 2013Received: 03 April 2013Accepted: 17 May 2013DOI: 10.1007-s11427-013-4497-x

Cite this article as: Yang, L., Rong, W., Xiao, T. et al. Sci. China Life Sci. 2013 56: 638. doi:10.1007-s11427-013-4497-x

Abstract

For successful therapy, hepatocellular carcinoma HCC must be detected at an early stage. Herein, we used a proteomic approach to analyze the secretory-releasing proteome of HCC tissues to identify plasma biomarkers. Serum-free conditioned media CM were collected from primary cultures of cancerous tissues and surrounding noncancerous tissues. Proteomic analysis of the CM proteins permitted the identification of 1365 proteins. The enriched molecular functions and biological processes of the CM proteins, such as hydrolase activity and catabolic processes, were consistent with the liver being the most important metabolic organ. Moreover, 19% of the proteins were characterized as extracellular or membrane-bound. For validation, secretory proteins involved in transforming growth factor-β signaling pathways were validated in plasma samples. Alphafetoprotein AFP, metalloproteinase MMP1, osteopontin OPN, and pregnancy-specific beta-1-glycoprotein PSG9 were significantly increased in HCC patients. The overall performance of MMP1 and OPN in the diagnosis of HCC remained greater than that of AFP. In addition, this study represents the first report of MMP1 as a biomarker with a higher sensitivity and specificity than AFP. Thus, this study provides a valuable resource of the HCC secretome with the potential to investigate serological biomarkers. MMP1 and OPN could be used as novel biomarkers for the early detection of HCC and to improve the sensitivity of biomarkers compared with AFP.

Keywordshepatocellular carcinoma HCC secretome biomarker MMP1 OPN PSG9 This article is published with open access at Springerlink.com

Electronic Supplementary MaterialSupplementary material is available for this article at 10.1007-s11427-013-4497-x and is accessible for authorized users.

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Author: Lei Yang - WeiQi Rong - Ting Xiao - Ying Zhang - Bin Xu - Yu Liu - LiMing Wang - Fan Wu - Jun Qi - XiuYing Zhao - HongXi

Source: https://link.springer.com/



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