Literature DB >> 23307043

Clinical utility of high-throughput glycome analysis in patients with pancreatic cancer.

Kazuhiro Nouso1, Maho Amano, Yoichi M Ito, Koji Miyahara, Yuki Morimoto, Hironari Kato, Koichiro Tsutsumi, Takeshi Tomoda, Naoki Yamamoto, Shinichiro Nakamura, Sayo Kobayashi, Kenji Kuwaki, Hiroaki Hagihara, Hideki Onishi, Yasuhiro Miyake, Fusao Ikeda, Hidenori Shiraha, Akinobu Takaki, Taku Nakahara, Shin-Ichiro Nishimura, Kazuhide Yamamoto.   

Abstract

BACKGROUND: Most of the glycan changes reported in cancers were based on the examinations of a small number of patients or particular proteins. The aim of this study was to determine the changes of the serum N-glycan profile comprehensively in a large number of pancreatic cancer patients and investigate its clinical utility.
METHODS: Glycan levels in the serum of 92 pancreatic cancer patients and 243 healthy volunteers (HLT) were examined by comprehensive quantitative high-throughput glycome analysis and were compared with clinical parameters.
RESULTS: Out of 66 glycans detected, 15 were differentially expressed in pancreatic cancer, and 10 out of the 15 glycans were significantly up-regulated in cases with distant metastasis. There was a clear increase in overall expression of serum glycans, especially highly-branched glycans with fucose moieties, in pancreatic cancer. Among these 15 glycans, a tri-antennary complex type glycan (m/z 3195) showed the highest area under the receiver operating characteristic curve (AUROC = 0.799) for the diagnosis of pancreatic cancer. The ratio of pairs of glycans on the same path of the biosynthesis pathway (m/z 3195/1914) was found to be significantly higher in pancreatic cancer than in HLT (median = 1.11 and 0.41, respectively; p < 0.0001, AUROC = 0.831). For this pair ratio, the hazard ratio for survival (2.60, 95 % CI = 1.44-4.79) was higher than that of any single glycan and 1-year survival of patients with a high and low ratio was 36.9 and 69.2 %, respectively, (p = 0.001).
CONCLUSIONS: Comprehensive glycome analysis can be used to know the presence of pancreatic cancer, distant metastasis, and patient prognosis, simultaneously.

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Year:  2013        PMID: 23307043     DOI: 10.1007/s00535-012-0732-7

Source DB:  PubMed          Journal:  J Gastroenterol        ISSN: 0944-1174            Impact factor:   7.527


  23 in total

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3.  Glycosylation of serum ribonuclease 1 indicates a major endothelial origin and reveals an increase in core fucosylation in pancreatic cancer.

Authors:  Sílvia Barrabés; Lluís Pagès-Pons; Catherine M Radcliffe; Glòria Tabarés; Esther Fort; Louise Royle; David J Harvey; Michel Moenner; Raymond A Dwek; Pauline M Rudd; Rafael De Llorens; Rosa Peracaula
Journal:  Glycobiology       Date:  2007-01-17       Impact factor: 4.313

4.  BlotGlycoABCTM, an integrated glycoblotting technique for rapid and large scale clinical glycomics.

Authors:  Yoshiaki Miura; Megumi Hato; Yasuro Shinohara; Hiromitsu Kuramoto; Jun-ichi Furukawa; Masaki Kurogochi; Hideyuki Shimaoka; Mitsuhiro Tada; Kazuaki Nakanishi; Michitaka Ozaki; Satoru Todo; Shin-Ichiro Nishimura
Journal:  Mol Cell Proteomics       Date:  2007-11-05       Impact factor: 5.911

Review 5.  Toward automated glycan analysis.

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6.  Human serum N-glycan profiles are age and sex dependent.

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8.  Site-specific analysis of N-glycans on haptoglobin in sera of patients with pancreatic cancer: a novel approach for the development of tumor markers.

Authors:  Miyako Nakano; Tsutomu Nakagawa; Toshifumi Ito; Takatoshi Kitada; Taizo Hijioka; Akinori Kasahara; Michiko Tajiri; Yoshinao Wada; Naoyuki Taniguchi; Eiji Miyoshi
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Review 9.  Functional roles of N-glycans in cell signaling and cell adhesion in cancer.

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Journal:  Cancer Sci       Date:  2008-05-19       Impact factor: 6.716

10.  Glycoprotein microarrays with multi-lectin detection: unique lectin binding patterns as a tool for classifying normal, chronic pancreatitis and pancreatic cancer sera.

Authors:  Jia Zhao; Tasneem H Patwa; Weilian Qiu; Kerby Shedden; Robert Hinderer; David E Misek; Michelle A Anderson; Diane M Simeone; David M Lubman
Journal:  J Proteome Res       Date:  2007-04-12       Impact factor: 4.466

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  16 in total

1.  Identification of unique glycoisoforms of vitamin D-binding protein and haptoglobin as biomarker candidates in hepatocarcinogenesis of STAM mice.

Authors:  Yasunobu Yoshida; Jun-Ichi Furukawa; Shoichi Naito; Kenichi Higashino; Yoshito Numata; Yasuro Shinohara
Journal:  Glycoconj J       Date:  2018-09-08       Impact factor: 2.916

2.  Synthetic glycopeptides as a designated standard in focused glycoproteomics to discover serum cancer biomarkers.

Authors:  K V Yogesh; Toshiya Kamiyama; Chikara Ohyama; Tohru Yoneyama; Kazuhiro Nouso; Satoshi Kimura; Hiroshi Hinou; Shin-Ichiro Nishimura
Journal:  Medchemcomm       Date:  2018-06-29       Impact factor: 3.597

Review 3.  Recent Advances in the Mass Spectrometry Methods for Glycomics and Cancer.

Authors:  Muchena J Kailemia; Gege Xu; Maurice Wong; Qiongyu Li; Elisha Goonatilleke; Frank Leon; Carlito B Lebrilla
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4.  Identification of serum N-glycoproteins as a biological correlate underlying chronic stress response in mice.

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Journal:  Mol Biol Rep       Date:  2019-03-26       Impact factor: 2.316

5.  A comparison of N-glycan profiles in human plasma and vitreous fluid.

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6.  Serum glycan markers for evaluation of disease activity and prediction of clinical course in patients with ulcerative colitis.

Authors:  Koji Miyahara; Kazuhiro Nouso; Shunsuke Saito; Sakiko Hiraoka; Keita Harada; Sakuma Takahashi; Yuki Morimoto; Sayo Kobayashi; Fusao Ikeda; Yasuhiro Miyake; Hidenori Shiraha; Akinobu Takaki; Hiroyuki Okada; Maho Amano; Kazuko Hirose; Shin-Ichiro Nishimura; Kazuhide Yamamoto
Journal:  PLoS One       Date:  2013-10-07       Impact factor: 3.240

Review 7.  Biosynthetic Machinery Involved in Aberrant Glycosylation: Promising Targets for Developing of Drugs Against Cancer.

Authors:  Andréia Vasconcelos-Dos-Santos; Isadora A Oliveira; Miguel Clodomiro Lucena; Natalia Rodrigues Mantuano; Stephen A Whelan; Wagner Barbosa Dias; Adriane Regina Todeschini
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8.  Serum N-glycan profiling predicts prognosis in patients undergoing hemodialysis.

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Journal:  ScientificWorldJournal       Date:  2013-12-23

Review 9.  Glycomic Approaches for the Discovery of Targets in Gastrointestinal Cancer.

Authors:  Stefan Mereiter; Meritxell Balmaña; Joana Gomes; Ana Magalhães; Celso A Reis
Journal:  Front Oncol       Date:  2016-03-09       Impact factor: 6.244

10.  Aberrant N-Glycosylation Profile of Serum Immunoglobulins is a Diagnostic Biomarker of Urothelial Carcinomas.

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Journal:  Int J Mol Sci       Date:  2017-12-06       Impact factor: 5.923

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