Literature DB >> 25813380

Probing the O-glycoproteome of gastric cancer cell lines for biomarker discovery.

Diana Campos1, Daniela Freitas2, Joana Gomes2, Ana Magalhães2, Catharina Steentoft3, Catarina Gomes2, Malene B Vester-Christensen3, José Alexandre Ferreira4, Luis P Afonso5, Lúcio L Santos6, João Pinto de Sousa7, Ulla Mandel3, Henrik Clausen3, Sergey Y Vakhrushev8, Celso A Reis9.   

Abstract

Circulating O-glycoproteins shed from cancer cells represent important serum biomarkers for diagnostic and prognostic purposes. We have recently shown that selective detection of cancer-associated aberrant glycoforms of circulating O-glycoprotein biomarkers can increase specificity of cancer biomarker assays. However, the current knowledge of secreted and circulating O-glycoproteins is limited. Here, we used the COSMC KO "SimpleCell" (SC) strategy to characterize the O-glycoproteome of two gastric cancer SimpleCell lines (AGS, MKN45) as well as a gastric cell line (KATO III) which naturally expresses at least partially truncated O-glycans. Overall, we identified 499 O-glycoproteins and 1236 O-glycosites in gastric cancer SimpleCells, and a total 47 O-glycoproteins and 73 O-glycosites in the KATO III cell line. We next modified the glycoproteomic strategy to apply it to pools of sera from gastric cancer and healthy individuals to identify circulating O-glycoproteins with the STn glycoform. We identified 37 O-glycoproteins in the pool of cancer sera, and only nine of these were also found in sera from healthy individuals. Two identified candidate O-glycoprotein biomarkers (CD44 and GalNAc-T5) circulating with the STn glycoform were further validated as being expressed in gastric cancer tissue. A proximity ligation assay was used to show that CD44 was expressed with the STn glycoform in gastric cancer tissues. The study provides a discovery strategy for aberrantly glycosylated O-glycoproteins and a set of O-glycoprotein candidates with biomarker potential in gastric cancer.
© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2015        PMID: 25813380      PMCID: PMC4458724          DOI: 10.1074/mcp.M114.046862

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  70 in total

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6.  Pancreatic cancer serum detection using a lectin/glyco-antibody array method.

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  36 in total

1.  A validated collection of mouse monoclonal antibodies to human glycosyltransferases functioning in mucin-type O-glycosylation.

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Authors:  Sarah L King; Hiren J Joshi; Katrine T Schjoldager; Adnan Halim; Thomas D Madsen; Morten H Dziegiel; Anders Woetmann; Sergey Y Vakhrushev; Hans H Wandall
Journal:  Blood Adv       Date:  2017-02-23

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Journal:  Glycobiology       Date:  2020-04-20       Impact factor: 4.313

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Authors:  Zsuzsanna Darula; Farkas Sarnyai; Katalin F Medzihradszky
Journal:  Glycoconj J       Date:  2016-01-05       Impact factor: 2.916

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Authors:  Ernesto RodrÍguez; Sjoerd T T Schetters; Yvette van Kooyk
Journal:  Nat Rev Immunol       Date:  2018-02-05       Impact factor: 53.106

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Authors:  Julie Y Zhou; Douglas M Oswald; Kelsey D Oliva; Lori S C Kreisman; Brian A Cobb
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Journal:  Nat Rev Cancer       Date:  2015-08-20       Impact factor: 60.716

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Authors:  Xiao Yu; Qiang Wu; Liping Wang; Yujie Zhao; Qingqing Zhang; Qingtao Meng; Shujing Wang
Journal:  Tumour Biol       Date:  2016-05-27
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