Literature DB >> 8713703

Microheterogeneity of serum transferrin in the diagnosis of hepatocellular carcinoma.

Y Suzuki1, Y Aoyagi, S Mori, T Suda, A Naitoh, O Isokawa, M Yanagi, H Igarashi, H Asakura.   

Abstract

Heterogeneous reactivity of human serum transferrin (Tf) with lectins was analysed using patient sera to determine whether it can be used to distinguish patients with hepatocellular carcinoma (HCC) from those with liver cirrhosis (LC). Microheterogeneity of Tf was analysed by crossed immunoaffinity electrophoresis (CIAE) with concanavalin A (Con A) and Lens culinaris agglutinin (LCA). Sample sera from 58 patients with HCC, 43 patients with LC and 10 normal controls were used in this study and the results were evaluated statistically. The increments of Con A-non-reactive (C1) and -weakly reactive (C2) species of Tf were observed in HCC compared with those of LC and Norm. Significant increase in the combined percentage of Con A- C1 + C2 species was also revealed in HCC (35.5 +/- 8.5%, mean+/-s.d.) compared with those of LC (29.1 +/- 6.8%; P < 0.001) and normal controls (17.1 +/- 2.3%; P < 0.001). The elevation of LCA-reactive (L2) species of Tf was recognized in HCC (8.2 +/- 3.8%) in comparison with those of LC (4.8 +/- 3.1%; P < 0.001) and normal controls (1.3 +/- 1.7%; P < 0.001). The increment of C1 + C2 species and/or L2 species of Tf was observed in 78% (sensitivity) of patients with HCC. The specificity, the positive predictive value and the overall accuracy were 81, 88 and 72%, respectively. Positive ratio of C1 + C2 and/or L2 species was 77 and 70% in alpha-fetoprotein low and -high producing HCC patients, respectively. These results indicate that the microheterogeneity analysis of human serum Tf is useful for distinguishing patients with HCC from those with LC and normal controls.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8713703     DOI: 10.1111/j.1440-1746.1996.tb01384.x

Source DB:  PubMed          Journal:  J Gastroenterol Hepatol        ISSN: 0815-9319            Impact factor:   4.029


  3 in total

1.  O Labeling for a Quantitative Proteomic Analysis of Glycoproteins in Hepatocellular Carcinoma.

Authors:  Raghothama Chaerkady; Paul J Thuluvath; Min-Sik Kim; Anuradha Nalli; Perumal Vivekanandan; Jessica Simmers; Michael Torbenson; Akhilesh Pandey
Journal:  Clin Proteomics       Date:  2008-07-18       Impact factor: 3.988

2.  LC-MS/MS-based serum proteomics for identification of candidate biomarkers for hepatocellular carcinoma.

Authors:  Tsung-Heng Tsai; Ehwang Song; Rui Zhu; Cristina Di Poto; Minkun Wang; Yue Luo; Rency S Varghese; Mahlet G Tadesse; Dina Hazem Ziada; Chirag S Desai; Kirti Shetty; Yehia Mechref; Habtom W Ressom
Journal:  Proteomics       Date:  2015-04-29       Impact factor: 3.984

3.  A quantitative proteomic approach for identification of potential biomarkers in hepatocellular carcinoma.

Authors:  Raghothama Chaerkady; H C Harsha; Anuradha Nalli; Marjan Gucek; Perumal Vivekanandan; Javed Akhtar; Robert N Cole; Jessica Simmers; Richard D Schulick; Sujay Singh; Michael Torbenson; Akhilesh Pandey; Paul J Thuluvath
Journal:  J Proteome Res       Date:  2008-08-21       Impact factor: 4.466

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.