Literature DB >> 22189678

Pros and cons of using aberrant glycosylation as companion biomarkers for therapeutics in cancer.

Jeong-Gu Kang1, Jeong-Heon Ko, Yong-Sam Kim.   

Abstract

Cancer treatment has been stratified by companion biomarker tests that serve to provide information on the genetic status of cancer patients and to identify patients who can be expected to respond to a given treatment. This stratification guarantees better efficiency and safety during treatment. Cancer patients, however, marginally benefit from the current companion biomarker-aided treatment regimens, presumably because companion biomarker tests are dependent solely on the mutation status of several genes status quo. In the true sense of the term, "personalized medicine", cancer patients are deemed to be identified individually by their molecular signatures, which are not necessarily confined to genetic mutations. Glycosylation is tremendously dynamic and shows alterations in cancer. Evidence is accumulating that aberrant glycosylation contributes to the development and progression of cancer, holding the promise for use of glycosylation status as a companion biomarker in cancer treatment. There are, however, several challenges derived from the lack of a reliable detection system for aberrant glycosylation, and a limited library of aberrant glycosylation. The challenges should be addressed if glycosylation status is to be used as a companion biomarker in cancer treatment and contribute to the fulfillment of personalized medicine.

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Year:  2011        PMID: 22189678     DOI: 10.5483/bmbrep.2011.44.12.765

Source DB:  PubMed          Journal:  BMB Rep        ISSN: 1976-6696            Impact factor:   4.778


  5 in total

1.  Semi-quantitative measurement of a specific glycoform using a DNA-tagged antibody and lectin affinity chromatography for glyco-biomarker development.

Authors:  Ju Hee Lee; Chang Hee Cho; Sun Hee Kim; Jeong Gu Kang; Jong Shin Yoo; Chulhun Ludgerus Chang; Jeong-Heon Ko; Yong-Sam Kim
Journal:  Mol Cell Proteomics       Date:  2014-12-18       Impact factor: 5.911

2.  Increased Expression of GOLPH3 is Associated with the Proliferation of Prostate Cancer.

Authors:  Wenzhi Li; Fengfu Guo; Meng Gu; Guangjian Wang; Xiangfei He; Juan Zhou; Yubing Peng; Zhong Wang; Xiang Wang
Journal:  J Cancer       Date:  2015-02-27       Impact factor: 4.207

3.  Differential expression patterns of N-acetylglucosaminyl transferases and polylactosamines in uterine lesions.

Authors:  A T R Clark; V M L Guimarães da Costa; L Bandeira Costa; C L Bezerra Cavalcanti; M J B De Melo Rêgo; E I C Beltrão
Journal:  Eur J Histochem       Date:  2014-05-26       Impact factor: 3.188

Review 4.  Tumor-associated autoantibodies as diagnostic and prognostic biomarkers.

Authors:  Chang-Kyu Heo; Young Yil Bahk; Eun-Wie Cho
Journal:  BMB Rep       Date:  2012-12       Impact factor: 4.778

Review 5.  Expression level and glycan dynamics determine the net effects of TIMP-1 on cancer progression.

Authors:  Yong-Sam Kim; Sun-Hee Kim; Jeong-Gu Kang; Jeong-Heon Ko
Journal:  BMB Rep       Date:  2012-11       Impact factor: 4.778

  5 in total

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