Literature DB >> 20660326

MALDI-TOF MS combined with magnetic beads for detecting serum protein biomarkers and establishment of boosting decision tree model for diagnosis of hepatocellular carcinoma.

Chibo Liu1, Jianmin Shen, Chunqin Pan, Linjun Yang, Sihua Mou, Haibao Wang, Yong Liang.   

Abstract

No single biologic marker is used in the routine diagnosis of hepatocellular carcinoma (HCC). We screened for potential biomarkers in 142 samples, including samples from 60 patients with HCC, 36 patients with hepatic disease other than HCC, and 46 age- and sex-matched healthy volunteers. Pretreated samples were analyzed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) combined with weak cationic exchange magnetic beads. The diagnostic pattern with a panel of 4 potential protein biomarkers of a mass-to-charge (m/z) ratio of 4,471, 8,936, 11,670, and 13,752 could accurately recognize 56 of 60 patients with HCC, 34 of 36 patients with hepatic disease, and 44 of 46 healthy people. The preliminary data suggest a potential application of MALDI-TOF MS combined with magnetic beads as an effective technology to profile serum proteome, and, with pattern analysis, a diagnostic model comprising 4 potential biomarkers was indicated to differentiate people with hepatic disease and healthy control subjects rapidly and precisely.

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Year:  2010        PMID: 20660326     DOI: 10.1309/AJCPA6C6NOGFLYIR

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  9 in total

1.  Identification of serum biomarkers for ovarian cancer using MALDI-TOF-MS combined with magnetic beads.

Authors:  Shengjun Wu; Kai Xu; Guang Chen; Jun Zhang; Zhiwei Liu; Xinyou Xie
Journal:  Int J Clin Oncol       Date:  2011-06-03       Impact factor: 3.402

2.  Effect of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry on identifying biomarkers of laryngeal carcinoma.

Authors:  Chibo Liu; Chunqin Pan; Haibao Wang; Liang Yong
Journal:  Tumour Biol       Date:  2011-08-09

3.  Screening for specific biomarkers in the serum of postmenopausal osteoporosis patients using proteomic fingerprint techniques.

Authors:  Weixing Li; Chibo Liu; Haibao Wang
Journal:  Biomed Rep       Date:  2012-09-25

4.  Magnetic Bead-Based Serum Peptidome Profiling in Patients with Gestational Diabetes Mellitus.

Authors:  Tingting Ai; Feng Chen; Shaonan Zhou; Jieni Zhang; Hui Zheng; Yanheng Zhou; Wei Hu; Xiaofei Liu; Li Li; Jiuxiang Lin
Journal:  Biomed Res Int       Date:  2015-05-18       Impact factor: 3.411

5.  MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer.

Authors:  Agata Swiatly; Agnieszka Horala; Joanna Hajduk; Jan Matysiak; Ewa Nowak-Markwitz; Zenon J Kokot
Journal:  BMC Cancer       Date:  2017-07-06       Impact factor: 4.430

6.  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

7.  Development of a MALDI MS-based platform for early detection of acute kidney injury.

Authors:  Emma Carrick; Jill Vanmassenhove; Griet Glorieux; Jochen Metzger; Mohammed Dakna; Martin Pejchinovski; Vera Jankowski; Bahareh Mansoorian; Holger Husi; William Mullen; Harald Mischak; Raymond Vanholder; Wim Van Biesen
Journal:  Proteomics Clin Appl       Date:  2016-05-17       Impact factor: 3.494

8.  Identification of MST1 as a potential early detection biomarker for colorectal cancer through a proteomic approach.

Authors:  Jiekai Yu; Xiaohui Zhai; Xiaofen Li; Chenhan Zhong; Cheng Guo; Fuquan Yang; Ying Yuan; Shu Zheng
Journal:  Sci Rep       Date:  2017-10-27       Impact factor: 4.379

9.  MALDI-TOF analysis of blood serum proteome can predict the presence of monoclonal gammopathy of undetermined significance.

Authors:  Francisca Barceló; Rosa Gomila; Ivan de Paul; Xavier Gili; Jaume Segura; Albert Pérez-Montaña; Teresa Jimenez-Marco; Antonia Sampol; José Portugal
Journal:  PLoS One       Date:  2018-08-02       Impact factor: 3.240

  9 in total

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