Literature DB >> 18642944

Glycoproteomic analyses of ovarian cancer cell lines and sera from ovarian cancer patients show distinct glycosylation changes in individual proteins.

Bensheng Li1, Hyun Joo An, Crystal Kirmiz, Carlito B Lebrilla, Kit S Lam, Suzanne Miyamoto.   

Abstract

Ovarian cancer is difficult to diagnose in women because symptoms of the disease are often not noticed until the disease has progressed to an advanced untreatable stage. Although a serum test, CA125, is currently available to assist with monitoring treatment of ovarian cancer, this test lacks the necessary specificity and sensitivity for early detection. Therefore, better biomarkers of ovarian cancer are needed. A glycoprotein analysis approach was undertaken using high resolution Fourier transform ion cyclotron resonance mass spectrometry to analyze glycosylated proteins present in the conditioned media of ovarian cancer cell lines and in sera obtained from ovarian cancer patients and normal controls. In this study, glycosylated proteins were separated by gel electrophoresis, and individual glycoproteins were selected for glycosylation analysis and protein identification. The attached glycans from each protein were released and profiled by mass spectrometry. Glycosylation of a mucin protein and a large glycosylated protein isolated from the ES2 ovarian cancer cell line was determined to consist of mostly O-linked glycans. Four prominent glycoproteins of approximate 517, 370, 250, 163 kDa from serum samples were identified as two forms of apolipoprotein B-100, fibronectin, and immunoglobulin A1, respectively. Mass spectrometric analysis of glycans isolated from apolipoprotein B-100 (517 kD) showed the presence of small, specific O-linked oligosaccharides. In contrast, analysis of fibronectin (250 kD) and immunoglobulin A1 (163 kD) produced N-linked glycan fragments in forms that were sufficiently different from the glycans obtained from the corresponding protein band present in the normal serum samples. This study shows that not only a single protein but several are aberrantly glycosylated, and those abnormal glycosylation changes can be detected and may ultimately serve as glycan biomarkers for ovarian cancer.

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Year:  2008        PMID: 18642944     DOI: 10.1021/pr800297u

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  27 in total

Review 1.  Mass spectrometry based glycoproteomics--from a proteomics perspective.

Authors:  Sheng Pan; Ru Chen; Ruedi Aebersold; Teresa A Brentnall
Journal:  Mol Cell Proteomics       Date:  2010-08-24       Impact factor: 5.911

2.  N-linked glycan structures and their expressions change in the blood sera of ovarian cancer patients.

Authors:  William R Alley; Jacqueline A Vasseur; John A Goetz; Martin Svoboda; Benjamin F Mann; Daniela E Matei; Nancy Menning; Ahmed Hussein; Yehia Mechref; Milos V Novotny
Journal:  J Proteome Res       Date:  2012-03-07       Impact factor: 4.466

3.  Glycomic profiling of tissue sections by LC-MS.

Authors:  Yunli Hu; Shiyue Zhou; Sarah I Khalil; Calvin L Renteria; Yehia Mechref
Journal:  Anal Chem       Date:  2013-03-26       Impact factor: 6.986

Review 4.  Identifying cancer biomarkers by mass spectrometry-based glycomics.

Authors:  Yehia Mechref; Yunli Hu; Aldo Garcia; Ahmed Hussein
Journal:  Electrophoresis       Date:  2012-07       Impact factor: 3.535

Review 5.  A case for protein-level and site-level specificity in glycoproteomic studies of disease.

Authors:  Katherine N Schumacher; Eric D Dodds
Journal:  Glycoconj J       Date:  2016-03-23       Impact factor: 2.916

Review 6.  Multi-dimensional liquid chromatography in proteomics--a review.

Authors:  Xiang Zhang; Aiqin Fang; Catherine P Riley; Mu Wang; Fred E Regnier; Charles Buck
Journal:  Anal Chim Acta       Date:  2010-02-06       Impact factor: 6.558

7.  A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer.

Authors:  Ankur K Nagaraja; Chad J Creighton; Zhifeng Yu; Huifeng Zhu; Preethi H Gunaratne; Jeffrey G Reid; Emuejevoke Olokpa; Hiroaki Itamochi; Naoto T Ueno; Shannon M Hawkins; Matthew L Anderson; Martin M Matzuk
Journal:  Mol Endocrinol       Date:  2010-01-15

8.  The glycolyzer: automated glycan annotation software for high performance mass spectrometry and its application to ovarian cancer glycan biomarker discovery.

Authors:  Scott R Kronewitter; Maria Lorna A De Leoz; John S Strum; Hyun Joo An; Lauren M Dimapasoc; Andrés Guerrero; Suzanne Miyamoto; Carlito B Lebrilla; Gary S Leiserowitz
Journal:  Proteomics       Date:  2012-08       Impact factor: 3.984

Review 9.  Defining putative glycan cancer biomarkers by MS.

Authors:  Yehia Mechref; Yunli Hu; Aldo Garcia; Shiyue Zhou; Janie L Desantos-Garcia; Ahmed Hussein
Journal:  Bioanalysis       Date:  2012-10       Impact factor: 2.681

10.  Differential N-glycosylation of kallikrein 6 derived from ovarian cancer cells or the central nervous system.

Authors:  Uros Kuzmanov; Nianxin Jiang; Christopher R Smith; Antoninus Soosaipillai; Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2008-12-16       Impact factor: 5.911

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