Literature DB >> 23640819

Glycoproteomic strategies: From discovery to clinical application of cancer carbohydrate biomarkers.

Koji Ueda1.   

Abstract

Carbohydrate antigens are the most frequently and traditionally used biomarkers for cancer, such as CA19-9, CA125, DUPAN-II, AFP-L3, and many others. The diagnostic potential of them was simply based on the cancer-specific alterations of glycan structures on particular glycoproteins in serum/plasma. In spite of the facts that glycosylation disorders are feasible for cancer biomarkers and glycomic analysis technologies to explore them have been rapidly developed, it remains difficult to sensitively screen glycan structure changes on cancer-associated glycoproteins from clinical specimens. Moreover, a lot of additional issues should be appropriately addressed for the clinical application of newly identified glycosylation biomarkers, including analytical throughput, quantitative confirmation of structural changes, and biological explanation for the alterations. In the last decade, significant improvement of mass spectrometric techniques is being made in the aspects of both hardware spec and preanalytical purification procedures for glycoprotein analysis. Here we review potential approaches to perform comprehensive analysis of glycoproteomic biomarker screening from serum/plasma and to realize high-throughput validation of site-specific oligosaccharide variations. The power and problems of mass spectrometric applications on the clinical use of carbohydrate biomarkers are also discussed in this review.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biomarker; Cancer; Glycoproteomics; Mass spectrometry; Serum

Mesh:

Substances:

Year:  2013        PMID: 23640819     DOI: 10.1002/prca.201200123

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  12 in total

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2.  LC-MS/MS analysis of permethylated N-glycans facilitating isomeric characterization.

Authors:  Shiyue Zhou; Xue Dong; Lucas Veillon; Yifan Huang; Yehia Mechref
Journal:  Anal Bioanal Chem       Date:  2016-10-28       Impact factor: 4.142

Review 3.  Glycans and glycoproteins as specific biomarkers for cancer.

Authors:  Muchena J Kailemia; Dayoung Park; Carlito B Lebrilla
Journal:  Anal Bioanal Chem       Date:  2016-09-03       Impact factor: 4.142

Review 4.  Biomedical applications of nanoflares: Targeted intracellular fluorescence probes.

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Journal:  Nanomedicine       Date:  2019-02-28       Impact factor: 5.307

5.  Cell surface nucleolin facilitates enterovirus 71 binding and infection.

Authors:  Pei-Yi Su; Ya-Fang Wang; Sheng-Wen Huang; Yu-Chih Lo; Ya-Hui Wang; Shang-Rung Wu; Dar-Bin Shieh; Shun-Hua Chen; Jen-Ren Wang; Ming-Der Lai; Chuan-Fa Chang
Journal:  J Virol       Date:  2015-02-11       Impact factor: 5.103

6.  Affinity enrichment for mass spectrometry: improving the yield of low abundance biomarkers.

Authors:  Brianna Kim; Robyn Araujo; Marissa Howard; Ruben Magni; Lance A Liotta; Alessandra Luchini
Journal:  Expert Rev Proteomics       Date:  2018-03-22       Impact factor: 3.940

Review 7.  Animal board invited review: advances in proteomics for animal and food sciences.

Authors:  A M Almeida; A Bassols; E Bendixen; M Bhide; F Ceciliani; S Cristobal; P D Eckersall; K Hollung; F Lisacek; G Mazzucchelli; M McLaughlin; I Miller; J E Nally; J Plowman; J Renaut; P Rodrigues; P Roncada; J Staric; R Turk
Journal:  Animal       Date:  2014-10-31       Impact factor: 3.240

Review 8.  Nanotechnology in cancer diagnosis: progress, challenges and opportunities.

Authors:  Ye Zhang; Maoyu Li; Xiaomei Gao; Yongheng Chen; Ting Liu
Journal:  J Hematol Oncol       Date:  2019-12-17       Impact factor: 17.388

9.  Aberrant glycosylation promotes lung cancer metastasis through adhesion to galectins in the metastatic niche.

Authors:  Nathan E Reticker-Flynn; Sangeeta N Bhatia
Journal:  Cancer Discov       Date:  2014-11-24       Impact factor: 39.397

10.  Glycosylation status of serum immunoglobulin G in patients with prostate diseases.

Authors:  Saiko Kazuno; Jun-Ichi Furukawa; Yasuro Shinohara; Kimie Murayama; Makoto Fujime; Takashi Ueno; Tsutomu Fujimura
Journal:  Cancer Med       Date:  2016-02-16       Impact factor: 4.452

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