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N-glycan based models improve diagnostic efficacies in hepatitis B virus-related hepatocellular carcinoma

Meng Fang, Yun-Peng Zhao, Fei-Guo Zhou, Lun-Gen Lu, Peng Qi, Hao Wang, Kun Zhou, Shu-Han Sun, Cuiying Chen (UGent) and Chun-Fang Gao
(2010) INTERNATIONAL JOURNAL OF CANCER. 127(1). p.148-159
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Abstract
The early diagnosis of hepatocellular carcinoma (HCC) is of great clinical desirable due to lack of specific and sensitive markers. Alterations in the sugar chains of glycoprotein synthesized by the liver contribute to the molecular basis of abnormalities in carcinogenesis. This study aims to construct and assess the diagnostic value of N-glycan based diagnostic model in HCC identification and follow-up. A total of 393 subjects including HBV-related HCC, liver fibrosis and healthy controls were recruited. Follow-up was carried out before and after surgical treatment in HCC. N-glycome of serum glycoprotein was profiled by DNA sequencer-assisted fluorophore-assisted carbohydrate electrophoresis (DSA-FACE). Multiparameters diagnostic models were constructed based on N-glycan markers. The result found that 2 N-glycan structure abundances (NG1A2F, Peak 4; NA3Fb, Peak 9) were useful as N-glycan markers. The diagnostic efficacy of the log ratio [log(p9/4)] was similar to that of AFP in differentiating HCC from fibrosis. The accuracy and sensitivity of the diagnostic model combining AFP and N-glycan markers (Cscore B) were increased 7-10% compared with that of AFP. Log(p9/4) was more efficient in monitoring the progression of HCC with regarding to vascular invasion at improved specificity (16%) and accuracy (8%) compared with that of AFP. The N-glycan markers were found to be changed significantly after surgical resection in HCC follow-up. We conclude that the branching alpha (1,3)-fucosylated triantennary glycan and a biantennary glycan are promising as N-glycan markers. The diagnostic models based on the N-glycan markers and AFP improve the efficacy in HCC diagnosis and progression monitoring.
Keywords
GLYCOMIC ANALYSIS, POTENTIAL BIOMARKERS, ALPHA-FETOPROTEIN, MASS-SPECTROMETRY, LIVER FIBROSIS, CANCER, CIRRHOSIS, DNA, GLYCOPROTEIN, marker, N-glycan, hepatitis B virus (HBV), liver fibrosis, hepatocellular carcinoma (HCC), SERUM MARKER

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MLA
Fang, Meng et al. “N-glycan Based Models Improve Diagnostic Efficacies in Hepatitis B Virus-related Hepatocellular Carcinoma.” INTERNATIONAL JOURNAL OF CANCER 127.1 (2010): 148–159. Print.
APA
Fang, M., Zhao, Y.-P., Zhou, F.-G., Lu, L.-G., Qi, P., Wang, H., Zhou, K., et al. (2010). N-glycan based models improve diagnostic efficacies in hepatitis B virus-related hepatocellular carcinoma. INTERNATIONAL JOURNAL OF CANCER, 127(1), 148–159.
Chicago author-date
Fang, Meng, Yun-Peng Zhao, Fei-Guo Zhou, Lun-Gen Lu, Peng Qi, Hao Wang, Kun Zhou, Shu-Han Sun, Cuiying Chen, and Chun-Fang Gao. 2010. “N-glycan Based Models Improve Diagnostic Efficacies in Hepatitis B Virus-related Hepatocellular Carcinoma.” International Journal of Cancer 127 (1): 148–159.
Chicago author-date (all authors)
Fang, Meng, Yun-Peng Zhao, Fei-Guo Zhou, Lun-Gen Lu, Peng Qi, Hao Wang, Kun Zhou, Shu-Han Sun, Cuiying Chen, and Chun-Fang Gao. 2010. “N-glycan Based Models Improve Diagnostic Efficacies in Hepatitis B Virus-related Hepatocellular Carcinoma.” International Journal of Cancer 127 (1): 148–159.
Vancouver
1.
Fang M, Zhao Y-P, Zhou F-G, Lu L-G, Qi P, Wang H, et al. N-glycan based models improve diagnostic efficacies in hepatitis B virus-related hepatocellular carcinoma. INTERNATIONAL JOURNAL OF CANCER. 2010;127(1):148–59.
IEEE
[1]
M. Fang et al., “N-glycan based models improve diagnostic efficacies in hepatitis B virus-related hepatocellular carcinoma,” INTERNATIONAL JOURNAL OF CANCER, vol. 127, no. 1, pp. 148–159, 2010.
@article{998348,
  abstract     = {The early diagnosis of hepatocellular carcinoma (HCC) is of great clinical desirable due to lack of specific and sensitive markers. Alterations in the sugar chains of glycoprotein synthesized by the liver contribute to the molecular basis of abnormalities in carcinogenesis. This study aims to construct and assess the diagnostic value of N-glycan based diagnostic model in HCC identification and follow-up. A total of 393 subjects including HBV-related HCC, liver fibrosis and healthy controls were recruited. Follow-up was carried out before and after surgical treatment in HCC. N-glycome of serum glycoprotein was profiled by DNA sequencer-assisted fluorophore-assisted carbohydrate electrophoresis (DSA-FACE). Multiparameters diagnostic models were constructed based on N-glycan markers. The result found that 2 N-glycan structure abundances (NG1A2F, Peak 4; NA3Fb, Peak 9) were useful as N-glycan markers. The diagnostic efficacy of the log ratio [log(p9/4)] was similar to that of AFP in differentiating HCC from fibrosis. The accuracy and sensitivity of the diagnostic model combining AFP and N-glycan markers (Cscore B) were increased 7-10% compared with that of AFP. Log(p9/4) was more efficient in monitoring the progression of HCC with regarding to vascular invasion at improved specificity (16%) and accuracy (8%) compared with that of AFP. The N-glycan markers were found to be changed significantly after surgical resection in HCC follow-up. We conclude that the branching alpha (1,3)-fucosylated triantennary glycan and a biantennary glycan are promising as N-glycan markers. The diagnostic models based on the N-glycan markers and AFP improve the efficacy in HCC diagnosis and progression monitoring.},
  author       = {Fang, Meng and Zhao, Yun-Peng and Zhou, Fei-Guo and Lu, Lun-Gen and Qi, Peng and Wang, Hao and Zhou, Kun and Sun, Shu-Han and Chen, Cuiying and Gao, Chun-Fang},
  issn         = {0020-7136},
  journal      = {INTERNATIONAL JOURNAL OF CANCER},
  keywords     = {GLYCOMIC ANALYSIS,POTENTIAL BIOMARKERS,ALPHA-FETOPROTEIN,MASS-SPECTROMETRY,LIVER FIBROSIS,CANCER,CIRRHOSIS,DNA,GLYCOPROTEIN,marker,N-glycan,hepatitis B virus (HBV),liver fibrosis,hepatocellular carcinoma (HCC),SERUM MARKER},
  language     = {eng},
  number       = {1},
  pages        = {148--159},
  title        = {N-glycan based models improve diagnostic efficacies in hepatitis B virus-related hepatocellular carcinoma},
  url          = {http://dx.doi.org/10.1002/ijc.25030},
  volume       = {127},
  year         = {2010},
}
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