Literature DB >> 26091356

Lectin Microarray-Based Sero-Biomarker Verification Targeting Aberrant O-Linked Glycosylation on Mucin 1.

Atsushi Matsuda1, Atsushi Kuno1, Tomomi Nakagawa1, Yuzuru Ikehara1, Tatsuro Irimura2, Masakazu Yamamoto3, Yasuni Nakanuma4, Eiji Miyoshi5, Shoji Nakamori6, Hayao Nakanishi7, Chutiwan Viwatthanasittiphong8, Petcharin Srivatanakul9, Masanao Miwa10, Junichi Shoda11, Hisashi Narimatsu1.   

Abstract

Glycoform of mucin 1 (MUC1) in cancerous cells changes markedly with cell differentiation, and thus, qualitative detection and verification of the MUC1 glycosylation changes have potential diagnostic value. We have developed an ultrasensitive method to detect the changes in cholangiocarcinoma (CC), which produces MUC1, and applied it in the diagnostics development. The focused glycan analysis using 43-lectin-immobilized microarray could obtain the glycan profiles of sialylated MUC1 in 5 μL of sera. The high-throughput analysis detected disease-specific alterations of glycosylation, and the statistical analysis confirmed that use of Wisteria floribunda agglutinin (WFA) alone produced a diagnostic score sufficient for discriminating 33 CC cases from 40 hepatolithiasis patients and 48 normal controls (p < 0.0001). The CC-related glycosylation change was verified by the lectin-antibody sandwich ELISA with WFA in two cohorts: (1) 78 Opisthorchis viverrini infected patients without CC and 78 with CC, (2) 33 CC patients and 40 hepatolithiasis patients (the same cohort used for the above lectin microarray). The WFA positivity distinguished patients with CC (opisthorchiasis: p < 0.0001, odds ratio = 1.047; hepatolithiasis: p = 0.0002, odds ratio = 1.018). Sensitive detection of qualitative alterations of sialylated MUC1 glycosylation is indispensable for the development of our glycodiagnostic test for CC.

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Year:  2015        PMID: 26091356     DOI: 10.1021/acs.analchem.5b01329

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  18 in total

1.  Assessment of tumor characteristics based on glycoform analysis of membrane-tethered MUC1.

Authors:  Atsushi Matsuda; Michiyo Higashi; Tomomi Nakagawa; Seiya Yokoyama; Atsushi Kuno; Suguru Yonezawa; Hisashi Narimatsu
Journal:  Lab Invest       Date:  2017-06-05       Impact factor: 5.662

2.  Molecular Basis for Recognition of the Cancer Glycobiomarker, LacdiNAc (GalNAc[β1→4]GlcNAc), by Wisteria floribunda Agglutinin.

Authors:  Omid Haji-Ghassemi; Michel Gilbert; Jenifer Spence; Melissa J Schur; Matthew J Parker; Meredith L Jenkins; John E Burke; Henk van Faassen; N Martin Young; Stephen V Evans
Journal:  J Biol Chem       Date:  2016-09-06       Impact factor: 5.157

Review 3.  Aberrant glycosylation and cancer biomarker discovery: a promising and thorny journey.

Authors:  Mengmeng Wang; Jianhui Zhu; David M Lubman; Chunfang Gao
Journal:  Clin Chem Lab Med       Date:  2019-03-26       Impact factor: 8.490

4.  Polyporus squamosus Lectin 1a (PSL1a) Exhibits Cytotoxicity in Mammalian Cells by Disruption of Focal Adhesions, Inhibition of Protein Synthesis and Induction of Apoptosis.

Authors:  Dipankar Manna; Sascha Pust; Maria L Torgersen; Gabriele Cordara; Markus Künzler; Ute Krengel; Kirsten Sandvig
Journal:  PLoS One       Date:  2017-01-23       Impact factor: 3.240

Review 5.  Plant Lectins Targeting O-Glycans at the Cell Surface as Tools for Cancer Diagnosis, Prognosis and Therapy.

Authors:  Guillaume Poiroux; Annick Barre; Els J M van Damme; Hervé Benoist; Pierre Rougé
Journal:  Int J Mol Sci       Date:  2017-06-09       Impact factor: 5.923

6.  Serum Wisteria Floribunda Agglutinin-Positive Sialylated Mucin 1 as a Marker of Progenitor/Biliary Features in Hepatocellular Carcinoma.

Authors:  Nobuharu Tamaki; Atsushi Kuno; Atsushi Matsuda; Hanako Tsujikawa; Ken Yamazaki; Yutaka Yasui; Kaoru Tsuchiya; Hiroyuki Nakanishi; Jun Itakura; Masaaki Korenaga; Masashi Mizokami; Masayuki Kurosaki; Michiie Sakamoto; Hisashi Narimatsu; Namiki Izumi
Journal:  Sci Rep       Date:  2017-03-21       Impact factor: 4.379

7.  Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy.

Authors:  Hanyu Zhu; Moyan Liu; Hanjie Yu; Xiawei Liu; Yaogang Zhong; Jian Shu; Xinle Fu; Guangyan Cai; Xiangmei Chen; Wenjia Geng; Xiaoli Yang; Minghui Wu; Zheng Li; Dong Zhang
Journal:  J Diabetes Res       Date:  2017-03-19       Impact factor: 4.011

8.  Wisteria floribunda agglutinin-sialylated mucin core polypeptide 1 is a sensitive biomarker for biliary tract carcinoma and intrahepatic cholangiocarcinoma: a multicenter study.

Authors:  Junichi Shoda; Atsushi Matsuda; Takashi Shida; Masakazu Yamamoto; Masato Nagino; Toshio Tsuyuguchi; Takahiro Yasaka; Susumu Tazuma; Kazuhisa Uchiyama; Michiaki Unno; Nobuaki Ohkohchi; Yasuni Nakanuma; Atsushi Kuno; Hisashi Narimatsu
Journal:  J Gastroenterol       Date:  2016-06-29       Impact factor: 7.527

9.  Alteration of matrix metalloproteinase-3 O-glycan structure as a biomarker for disease activity of rheumatoid arthritis.

Authors:  Masaru Takeshita; Atsushi Kuno; Katsuya Suzuki; Atsushi Matsuda; Hiroko Shimazaki; Tomomi Nakagawa; Yuki Otomo; Yasuaki Kabe; Makoto Suematsu; Hisashi Narimatsu; Tsutomu Takeuchi
Journal:  Arthritis Res Ther       Date:  2016-05-21       Impact factor: 5.156

10.  Increased expression of the high-mannose M6N2 and NeuAc3H3N3M3N2F tri-antennary N-glycans in cholangiocarcinoma.

Authors:  Krajang Talabnin; Chutima Talabnin; Mayumi Ishihara; Parastoo Azadi
Journal:  Oncol Lett       Date:  2017-11-09       Impact factor: 2.967

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