Literature DB >> 19126965

Altered glycosylation in tumours focused to cancer diagnosis.

Rosa Peracaula1, Sílvia Barrabés, Ariadna Sarrats, Pauline M Rudd, Rafael de Llorens.   

Abstract

The lack of specific and sensitive tumour markers for early detection of cancer is driving a search for new approaches that could identify biomarkers. Markers are needed to alert clinicians at the early stages of tumourogenesis, before the cancer has metastasized, when the therapeutic drugs are more effective. Most tumour markers currently used in clinics are serum glycoproteins, frequently highly glycosylated mucins. Typically, the disease marker is the protein and not the glycan moiety of the corresponding glycoprotein or mucin. The increasing knowledge of the role of glycans in cancer suggests that further studies may assist both in determining their role in every step of tumour progression, and in the design of new therapeutic and diagnosic approaches. Detection of the altered glycans in serum tumour glycoproteins could be a way to achieve specificity in tumour detection. In this review, we focus on the glycan changes of two serum glycoproteins, prostate specific antigen--currently used as a tumour marker of prostate cancer--and human pancreatic ribonuclease in pancreatic adenocarcinoma. The detection of glycan changes, associated with subsets of glycoforms in serum glycoproteins that are specific to the tumour situation, could be the basis for developing more specific biomarkers.

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Year:  2008        PMID: 19126965      PMCID: PMC3827805          DOI: 10.1155/2008/797629

Source DB:  PubMed          Journal:  Dis Markers        ISSN: 0278-0240            Impact factor:   3.434


  57 in total

1.  Support vector machine-based mucin-type o-linked glycosylation site prediction using enhanced sequence feature encoding.

Authors:  Manabu Torii; Hongfang Liu; Zhang-Zhi Hu
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

2.  The ceramide moiety of disialoganglioside (GD3) is essential for GD3 recognition by the sialic acid-binding lectin SIGLEC7 on the cell surface.

Authors:  Noboru Hashimoto; Shizuka Ito; Akiko Tsuchida; Robiul H Bhuiyan; Tetsuya Okajima; Akihito Yamamoto; Keiko Furukawa; Yuhsuke Ohmi; Koichi Furukawa
Journal:  J Biol Chem       Date:  2019-05-28       Impact factor: 5.157

Review 3.  Pathobiological implications of mucin glycans in cancer: Sweet poison and novel targets.

Authors:  Seema Chugh; Vinayaga S Gnanapragassam; Maneesh Jain; Satyanarayana Rachagani; Moorthy P Ponnusamy; Surinder K Batra
Journal:  Biochim Biophys Acta       Date:  2015-08-28

Review 4.  Glycan changes: cancer metastasis and anti-cancer vaccines.

Authors:  Min Li; Lujun Song; Xinyu Qin
Journal:  J Biosci       Date:  2010-12       Impact factor: 1.826

5.  Gut immunoglobulin alpha anti-glycan binding profiles as a research tool for local disease detection.

Authors:  Joseph J Otto; Crystal L Daniels; Lindsay N Schambeau; Brittany N Williams; Jana M Rocker; Lewis K Pannell
Journal:  Glycoconj J       Date:  2018-06-09       Impact factor: 2.916

6.  Analysis of site-specific glycosylation of renal and hepatic γ-glutamyl transpeptidase from normal human tissue.

Authors:  Matthew B West; Zaneer M Segu; Christa L Feasley; Pilsoo Kang; Iveta Klouckova; Chenglong Li; Milos V Novotny; Christopher M West; Yehia Mechref; Marie H Hanigan
Journal:  J Biol Chem       Date:  2010-07-09       Impact factor: 5.157

7.  Simultaneous quantification of N- and O-glycans using a solid-phase method.

Authors:  Shuang Yang; Yingwei Hu; Lori Sokoll; Hui Zhang
Journal:  Nat Protoc       Date:  2017-05-18       Impact factor: 13.491

Review 8.  Characterization of disease-associated N-linked glycoproteins.

Authors:  Yuan Tian; Hui Zhang
Journal:  Proteomics       Date:  2013-02       Impact factor: 3.984

9.  Signal amplification by glyco-qPCR for ultrasensitive detection of carbohydrates: applications in glycobiology.

Authors:  Seok Joon Kwon; Kyung Bok Lee; Kemal Solakyildirim; Sayaka Masuko; Mellisa Ly; Fuming Zhang; Lingyun Li; Jonathan S Dordick; Robert J Linhardt
Journal:  Angew Chem Int Ed Engl       Date:  2012-10-16       Impact factor: 15.336

10.  Dynamic fluctuations of protein-carbohydrate interactions promote protein aggregation.

Authors:  Vladimir Voynov; Naresh Chennamsetty; Veysel Kayser; Bernhard Helk; Kurt Forrer; Heidi Zhang; Cornelius Fritsch; Holger Heine; Bernhardt L Trout
Journal:  PLoS One       Date:  2009-12-23       Impact factor: 3.240

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