Literature DB >> 24780727

Differential proteomic approach for identification and verification of aberrantly glycosylated proteins in adenocarcinoma lung cancer (ADLC) plasmas by lectin-capturing and targeted mass spectrometry.

Yeong Hee Ahn1, Eun Sun Ji2, Na Ree Oh1, Yong-Sam Kim3, Jeong Heon Ko4, Jong Shin Yoo5.   

Abstract

To investigate quantitative differences in aberrant glycosylation of target glycoproteins between noncancerous group and patient group with adenocarcinoma lung cancer (ADLC), differential proteomic approach was developed by cooperatively using comparative lectin-capturing, targeted mass spectrometry (MRM MS), and antibody/lectin sandwich ELISA. Plasma samples comparatively prepared from 3 ADLC patients and 3 controls, with and without lectin-fractionation using fucose-specific Aleuria aurantia lectin (AAL), were trypsin-digested and analyzed for target glycoproteins, alpha-1-acid glycoprotein (AGP) and ceruloplasmin (CP), by MRM MS. From the MRM MS data the abundance levels of AAL-captured glycoforms of both targets were significantly higher in ADLC cases compared to controls, although the levels in total protein abundance were comparable between ADLC and control groups. This difference between ADLC and control groups in the fucosylated glycoform levels was originated mainly from aberrant fucosylation on the targets in ADLC plasmas rather than change in total protein abundance of the targets, and also confirmed by sandwich ELISA. AGP and CP were further verified to be biomarker candidates by MRM-based analysis of AAL-captured plasmas (30 ADLC cases, 30 controls), with AUROC 0.758 and 0.847 respectively. This differential proteomic approach can be useful for identifying and verifying biomarker candidate involved in aberrant protein glycosylation. BIOLOGICAL SIGNIFICANCE: The present paper introduces an efficient differential proteomic method to investigate quantitative differences in aberrant protein glycosylation of serological glycoproteins between noncancerous group and lung cancer patient group. This differential proteomic approach consisting of the targeted MRM MS of comparatively lectin-captured plasma fractions and the antibody/lectin sandwich ELISA-based assay was evaluated to be useful for identification of aberrantly fucosylated glycoproteins AGP and CP in lung cancer plasmas. In addition, we have demonstrated that the MRM MS-based differential proteomic approach is also useful for high-throughput verification of the aberrantly fucosylated glycoproteins AGP and CP using the large number of individual plasmas. Therefore, the present MRM MS-based differential proteomic strategy with lectin-capturing can be a powerful tool for high-throughput verification of aberrantly glycosylated biomarker candidates, identified preliminary by mass profiling experiments in proteomic fields but requiring further validation using a large number of cohorts.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aberrant glycosylation; Adenocarcinoma lung cancer; Differential proteomic; Fucosylation; Targeted mass spectrometry

Mesh:

Substances:

Year:  2014        PMID: 24780727     DOI: 10.1016/j.jprot.2014.04.031

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


  4 in total

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Authors:  Sara S Faria; Carlos F M Morris; Adriano R Silva; Micaella P Fonseca; Patrice Forget; Mariana S Castro; Wagner Fontes
Journal:  Front Oncol       Date:  2017-02-20       Impact factor: 6.244

3.  Value of immune factors for monitoring risk of lung cancer in patients with interstitial lung disease.

Authors:  Ning Li; Haisheng Hu; Ge Wu; Baoqing Sun
Journal:  J Int Med Res       Date:  2019-07-01       Impact factor: 1.671

4.  Fucosylated Glycans in α1-Acid Glycoprotein for Monitoring Treatment Outcomes and Prognosis of Cancer Patients.

Authors:  Shin Yazawa; Ryo Takahashi; Takehiko Yokobori; Rie Sano; Akira Mogi; Abby R Saniabadi; Hiroyuki Kuwano; Takayuki Asao
Journal:  PLoS One       Date:  2016-06-13       Impact factor: 3.240

  4 in total

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