Literature DB >> 20372847

Identification of beta2-microgloblin as a candidate for early diagnosis of imaging-invisible hepatocellular carcinoma in patient with liver cirrhosis.

Yumi Saito1, Nobuyuki Oba, Syuta Nishinakagawa, Yasuhiro Mizuguchi, Tatsuya Kojima, Kazuhiro Nomura, Tetsuya Nakatsura.   

Abstract

Glypican-3 (GPC3) is overexpressed in hepatocellular carcinoma (HCC) but not in chronic hepatitis (CH) and liver cirrhosis (LC). We have reported the possibility of GPC3-specific cytotoxic T lymphocytes (CTLs) serving as a marker for the early diagnosis of imaging invisible HCC. In this study, to identify new early diagnostic biomarker of imaging invisible HCC, we analyzed plasma of healthy donors and patients with CH, LC and HCC using surface-enhanced laser desorption-ionaization time-of-flight mass spectrometry (SELDI-TOF-MS). The intensities of four peaks were significantly increased in HCC patients compared with healthy donors. Two of these four peaks were significantly higher in CH and LC patients with GPC3-specific CTLs than in those without. One peak (11.7 kDa) was predicted to be beta2-microglobulin (beta2-MG) by molecular mass. There was a correlation between concentration of beta2-MG by latex agglutination immunoassay in plasma and peak intensity using SELDI-TOF-MS. The 11.7 kDa protein was fractionated by gel filtration and was identified as beta2-MG by Western blot analysis. These results suggest that the level of beta2-MG in plasma from patients with CH and LC could be a useful marker for the early diagnosis of imaging invisible HCC, however further investigation is needed.

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Year:  2010        PMID: 20372847     DOI: 10.3892/or_00000767

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  10 in total

1.  Discrimination analysis of mass spectrometry proteomics for cervical cancer detection.

Authors:  Chibo Liu; Chunqin Pan; Jianmin Shen; Haibao Wang; Liang Yong; Richu Zhang
Journal:  Med Oncol       Date:  2010-11-16       Impact factor: 3.064

Review 2.  Glycoproteomic markers of hepatocellular carcinoma-mass spectrometry based approaches.

Authors:  Jianhui Zhu; Elisa Warner; Neehar D Parikh; David M Lubman
Journal:  Mass Spectrom Rev       Date:  2018-11-25       Impact factor: 10.946

3.  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

4.  Reproducibility of SELDI Spectra Across Time and Laboratories.

Authors:  Lixia Diao; Charlotte H Clarke; Kevin R Coombes; Stanley R Hamilton; Jack Roth; Li Mao; Bogdan Czerniak; Keith A Baggerly; Jeffrey S Morris; Eric T Fung; Robert C Bast
Journal:  Cancer Inform       Date:  2011-03-14

Review 5.  The application of SELDI-TOF-MS in clinical diagnosis of cancers.

Authors:  Chibo Liu
Journal:  J Biomed Biotechnol       Date:  2011-05-23

Review 6.  Proteomic and metabonomic biomarkers for hepatocellular carcinoma: a comprehensive review.

Authors:  T Kimhofer; H Fye; S Taylor-Robinson; M Thursz; E Holmes
Journal:  Br J Cancer       Date:  2015-03-31       Impact factor: 7.640

7.  Diagnosis of gallbladder cancer using matrix-assisted laser desorption/ionization time-of-flight profiling.

Authors:  Yonghua Mou; Renwei Xing; Chibo Liu
Journal:  Am J Med Sci       Date:  2012-02       Impact factor: 2.378

8.  U87MG glioma cells overexpressing IL-17 acclerate early-stage growth in vivo and cause a higher level of CD31 mRNA expression in tumor tissues.

Authors:  Jinhui Hu; Hongxing Ye; Denghai Zhang; Weiwei Liu; Min Li; Ying Mao; Yuan Lu
Journal:  Oncol Lett       Date:  2013-08-07       Impact factor: 2.967

9.  SELDI-TOF-MS proteomic profiling of serum, urine, and amniotic fluid in neural tube defects.

Authors:  Zhenjiang Liu; Zhengwei Yuan; Qun Zhao
Journal:  PLoS One       Date:  2014-07-23       Impact factor: 3.240

10.  Predictive Value of Serum Creatinine, Blood Urea Nitrogen, Uric Acid, and β2-Microglobulin in the Evaluation of Acute Kidney Injury after Orthotopic Liver Transplantation.

Authors:  Hai-Yang Lu; Xin-Yu Ning; Ying-Qi Chen; Shu-Jun Han; Ping Chi; Sai-Nan Zhu; Yun Yue
Journal:  Chin Med J (Engl)       Date:  2018-05-05       Impact factor: 2.628

  10 in total

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