Literature DB >> 22789673

A lectin-coupled, targeted proteomic mass spectrometry (MRM MS) platform for identification of multiple liver cancer biomarkers in human plasma.

Yeong Hee Ahn1, Park Min Shin, Na Ree Oh, Gun Wook Park, Hoguen Kim, Jong Shin Yoo.   

Abstract

Aberrantly glycosylated proteins related to liver cancer progression were captured with specific lectin and identified from human plasma by multiple reaction monitoring (MRM) mass spectrometry as multiple biomarkers for hepatocellular carcinoma (HCC). The lectin fractionation for fucosylated protein glycoforms in human plasma was conducted with a fucose-specific aleuria aurantia lectin (AAL). Following tryptic digestion of the lectin-captured fraction, plasma samples from 30 control cases (including 10 healthy, 10 hepatitis B virus [HBV], and 10 cirrhosis cases) and 10 HCC cases were quantitatively analyzed by MRM to identify which glycoproteins are viable HCC biomarkers. A1AG1, AACT, A1AT, and CERU were found to be potent biomarkers to differentiate HCC plasma from control plasmas. The AUROC generated independently from these four biomarker candidates ranged from 0.73 to 0.92. However, the lectin-coupled MRM assay with multiple combinations of biomarker candidates is superior statistically to those generated from the individual candidates with AUROC more than 0.95, which can be an alternative to the immunoassay inevitably requiring tedious development of multiple antibodies against biomarker candidates to be verified. Eventually the lectin-coupled, targeted proteomic mass spectrometry (MRM MS) platform was found to be efficient to identify multiple biomarkers from human plasma according to cancer progression.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22789673     DOI: 10.1016/j.jprot.2012.06.027

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  30 in total

Review 1.  Glycosylation and liver cancer.

Authors:  Anand Mehta; Harmin Herrera; Timothy Block
Journal:  Adv Cancer Res       Date:  2015-02-07       Impact factor: 6.242

Review 2.  Glycoprotein disease markers and single protein-omics.

Authors:  Kevin Chandler; Radoslav Goldman
Journal:  Mol Cell Proteomics       Date:  2013-02-11       Impact factor: 5.911

Review 3.  Mass spectrometry based biomarker discovery, verification, and validation--quality assurance and control of protein biomarker assays.

Authors:  Carol E Parker; Christoph H Borchers
Journal:  Mol Oncol       Date:  2014-03-20       Impact factor: 6.603

4.  Ulva pertusa lectin 1 delivery through adenovirus vector affects multiple signaling pathways in cancer cells.

Authors:  Gongchu Li; Zhenzhen Zhao; Bingbing Wu; Qunshu Su; Liqin Wu; Xinyan Yang; Jing Chen
Journal:  Glycoconj J       Date:  2017-03-27       Impact factor: 2.916

Review 5.  Advances in targeted proteomics and applications to biomedical research.

Authors:  Tujin Shi; Ehwang Song; Song Nie; Karin D Rodland; Tao Liu; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2016-08       Impact factor: 3.984

6.  Quantitative Analysis of α-1-Antitrypsin Glycosylation Isoforms in HCC Patients Using LC-HCD-PRM-MS.

Authors:  Haidi Yin; Jianhui Zhu; Mengmeng Wang; Zhong-Ping Yao; David M Lubman
Journal:  Anal Chem       Date:  2020-06-02       Impact factor: 6.986

Review 7.  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

Review 8.  Targeted methods for quantitative analysis of protein glycosylation.

Authors:  Radoslav Goldman; Miloslav Sanda
Journal:  Proteomics Clin Appl       Date:  2015-01-19       Impact factor: 3.494

9.  Biomarkers for the Early Detection of Hepatocellular Carcinoma.

Authors:  Neehar D Parikh; Anand S Mehta; Amit G Singal; Timothy Block; Jorge A Marrero; Anna S Lok
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-04-01       Impact factor: 4.254

10.  Clinical Assay for the Early Detection of Colorectal Cancer Using Mass Spectrometric Wheat Germ Agglutinin Multiple Reaction Monitoring.

Authors:  I-Jung Tsai; Emily Chia-Yu Su; I-Lin Tsai; Ching-Yu Lin
Journal:  Cancers (Basel)       Date:  2021-05-02       Impact factor: 6.639

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