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Secretory/releasing proteome-based identification of plasma biomarkers in HBV-associated hepatocellular carcinoma

Overview of attention for article published in Science China Life Sciences, June 2013
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Title
Secretory/releasing proteome-based identification of plasma biomarkers in HBV-associated hepatocellular carcinoma
Published in
Science China Life Sciences, June 2013
DOI 10.1007/s11427-013-4497-x
Pubmed ID
Authors

Lei Yang, WeiQi Rong, Ting Xiao, Ying Zhang, Bin Xu, Yu Liu, LiMing Wang, Fan Wu, Jun Qi, XiuYing Zhao, HongXia Wang, NaiJun Han, SuPing Guo, JianXiong Wu, YanNing Gao, ShuJun Cheng

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 (MMP)1, osteopontin (OPN), and pregnancy-specific beta-1-glycoprotein (PSG)9 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 15%
Student > Doctoral Student 2 10%
Other 2 10%
Student > Postgraduate 2 10%
Researcher 2 10%
Other 3 15%
Unknown 6 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 35%
Medicine and Dentistry 2 10%
Chemistry 2 10%
Immunology and Microbiology 1 5%
Unknown 8 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 March 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from Science China Life Sciences
#767
of 1,001 outputs
Outputs of similar age
#172,640
of 197,599 outputs
Outputs of similar age from Science China Life Sciences
#7
of 7 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,001 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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