Literature DB >> 17243486

Clinical applications of glycomic approaches for the detection of cancer and other diseases.

Suzanne Miyamoto1.   

Abstract

New glycomic approaches are being developed for clinical applications. Technologies that include microcapillary chromatography, lectin affinity chromatography, carbohydrate microarray and mass spectrometry (MS) enable better glycan analysis and are contributing to drug discovery, clinical assays and basic research efforts. More importantly, new glycomic approaches are contributing to our increased understanding of the underlying biology that is responsible for the development, progression and metastasis of cancer. In fact, disruption of part of the glycosylation process in mice has resulted in higher tumor formation in these animals. MS and lectin affinity methods are rapidly replacing traditional biochemical separation and enzymatic procedures for the analysis of oligosaccharides. These technologies are leading to faster and more clinically adaptable tests with greater sensitivity and specificity than currently used tests. Glycomics is also expected to be important in developing better analytical methods for the detection of cancer. It shows promise for personalized medicine since the heterogeneity and complexity of glycosylation reflect the genetic, environmental, lifestyle and nutritional states of each patient, as well as their ethnicity and age. A major challenge facing glycomics and any systems biology approach, will be the ability to accurately profile the glycosylation state of a patient and, based on this profile, to identify if a disease is present, the type of disease and determine the appropriate treatment for the individual patient. Therefore a comprehensive approach to personalized clinical medicine may include a glycomic analysis of clinical samples and could be used in addition to genetic, gene expression and proteomic analyses already being evaluated for clinical use.

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Year:  2006        PMID: 17243486

Source DB:  PubMed          Journal:  Curr Opin Mol Ther        ISSN: 1464-8431


  12 in total

1.  Glycomic profiling of invasive and non-invasive breast cancer cells.

Authors:  John A Goetz; Yehia Mechref; Pilsoo Kang; Meei-Huey Jeng; Milos V Novotny
Journal:  Glycoconj J       Date:  2008-08-28       Impact factor: 2.916

2.  Mammalian sialyltransferase ST3Gal-II: its exchange sialylation catalytic properties allow labeling of sialyl residues in mucin-type sialylated glycoproteins and specific gangliosides.

Authors:  E V Chandrasekaran; Jun Xue; Jie Xia; Robert D Locke; Shilpa A Patil; Sriram Neelamegham; Khushi L Matta
Journal:  Biochemistry       Date:  2011-10-13       Impact factor: 3.162

3.  Aberrant glycosylation of the anti-Thomsen-Friedenreich glycotope immunoglobulin G in gastric cancer patients.

Authors:  Kristel Kodar; Jelena Izotova; Kersti Klaamas; Boris Sergeyev; Lilian Järvekülg; Oleg Kurtenkov
Journal:  World J Gastroenterol       Date:  2013-06-21       Impact factor: 5.742

4.  Bioorthogonal chemical reporter methodology for visualization, isolation and analysis of glycoconjugates.

Authors:  Geert-Jan Boons
Journal:  Carbohydr Chem       Date:  2010

Review 5.  Carbohydrate recognition by boronolectins, small molecules, and lectins.

Authors:  Shan Jin; Yunfeng Cheng; Suazette Reid; Minyong Li; Binghe Wang
Journal:  Med Res Rev       Date:  2010-03       Impact factor: 12.944

6.  Analysis of glycoproteins in human serum by means of glycospecific magnetic bead separation and LC-MALDI-TOF/TOF analysis with automated glycopeptide detection.

Authors:  Katrin Sparbier; Arndt Asperger; Anja Resemann; Irina Kessler; Sonja Koch; Thomas Wenzel; Günter Stein; Lars Vorwerg; Detlev Suckau; Markus Kostrzewa
Journal:  J Biomol Tech       Date:  2007-09

7.  Cellular heterogeneity profiling by hyaluronan probes reveals an invasive but slow-growing breast tumor subset.

Authors:  Mandana Veiseh; Daniel H Kwon; Alexander D Borowsky; Cornelia Tolg; Hon S Leong; John D Lewis; Eva A Turley; Mina J Bissell
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-14       Impact factor: 11.205

8.  Alteration of N-glycosylation in the kidney in a mouse model of systemic lupus erythematosus: relative quantification of N-glycans using an isotope-tagging method.

Authors:  Noritaka Hashii; Nana Kawasaki; Satsuki Itoh; Yukari Nakajima; Toru Kawanishi; Teruhide Yamaguchi
Journal:  Immunology       Date:  2008-08-14       Impact factor: 7.397

9.  High Throughput ELISAs to Measure a Unique Glycan on Transferrin in Cerebrospinal Fluid: A Possible Extension toward Alzheimer's Disease Biomarker Development.

Authors:  Keiro Shirotani; Satoshi Futakawa; Kiyomitsu Nara; Kyoka Hoshi; Toshie Saito; Yuriko Tohyama; Shinobu Kitazume; Tatsuhiko Yuasa; Masakazu Miyajima; Hajime Arai; Atsushi Kuno; Hisashi Narimatsu; Yasuhiro Hashimoto
Journal:  Int J Alzheimers Dis       Date:  2011-08-17

10.  In silico platform for prediction of N-, O- and C-glycosites in eukaryotic protein sequences.

Authors:  Jagat Singh Chauhan; Alka Rao; Gajendra P S Raghava
Journal:  PLoS One       Date:  2013-06-28       Impact factor: 3.240

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