Document Detail


Identification of novel serum biomarkers of hepatocellular carcinoma using glycomic analysis.
MedLine Citation:
PMID:  23322672     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
CONCLUSION: Quantitative glycoblotting based on whole serum N-glycan profiling is an effective approach to screening for new biomarkers. The G2890 and G3560 N-glycans determined by tumor glycomics appear to be promising biomarkers for malignant behavior in HCCs. (HEPATOLOGY 2013;).
Authors:
Toshiya Kamiyama; Hideki Yokoo; Jun-Ichi Furukawa; Masaki Kurogochi; Tomoaki Togashi; Nobuaki Miura; Kazuaki Nakanishi; Hirofumi Kamachi; Tatsuhiko Kakisaka; Yosuke Tsuruga; Masato Fujiyoshi; Akinobu Taketomi; Shin-Ichiro Nishimura; Satoru Todo
Publication Detail:
Type:  Journal Article     Date:  2013-04-26
Journal Detail:
Title:  Hepatology (Baltimore, Md.)     Volume:  57     ISSN:  1527-3350     ISO Abbreviation:  Hepatology     Publication Date:  2013 Jun 
Date Detail:
Created Date:  2013-06-13     Completed Date:  2013-08-16     Revised Date:  2014-07-31    
Medline Journal Info:
Nlm Unique ID:  8302946     Medline TA:  Hepatology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2314-25     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 American Association for the Study of Liver Diseases.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Aged, 80 and over
Carcinoma, Hepatocellular / blood*,  diagnosis,  mortality,  surgery
Case-Control Studies
Cause of Death
Disease-Free Survival
Female
Glycomics*
Hepatectomy
Humans
Japan / epidemiology
Liver Neoplasms / blood*,  diagnosis,  mortality,  surgery
Male
Middle Aged
Multivariate Analysis
Polysaccharides / blood*
ROC Curve
Recurrence
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Tumor Markers, Biological / blood*
Young Adult
Chemical
Reg. No./Substance:
0/Polysaccharides; 0/Tumor Markers, Biological
Comments/Corrections
Comment In:
Hepatology. 2014 Jan;59(1):355-6   [PMID:  23729393 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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