Literature DB >> 30905445

The sensitivity and specificity of serum glycan-based biomarkers for cancer detection.

Yang Tang1, Yidi Cui1, Shufeng Zhang2, Lijuan Zhang3.   

Abstract

Most of clinically used serum biomarkers for cancer detection were established in early 1980s when the Nobel Prize in physiology or medicine was awarded for the "discovery of the principle for the production of monoclonal antibodies." Using this "Nobel" technology, various monoclonal antibodies were obtained when different types of cancer cells were injected into mice and the ligands on the cancer cell surface were characterized. Both aberrant glycan structures and aberrant glycan-associated glycoproteins were revealed as a common feature of cancer cell surfaces through the specific interactions with the monoclonal antibodies. These results indicate that the biosynthesis of the environment-sensitive glycan structures goes awry in cancer cells, which is beyond genetic mutations. Later on, the glycan-related biomarkers were detected in the sera of cancer patients and then developed into serum biomarkers, such as CA125, CA153, CA195, CA199, CA242, CA27.29, CA50, and CA724, which are still in clinical use as of today. During the past 30 years, even with the advancement of different OMICS technologies not limited to genomics, epigenomics, proteomics, glycomics, lipidomics, and metabolomics, very few serum biomarkers have been introduced into clinical practice. The reason is that most of the newly discovered cancer biomarkers are inferior in terms of sensitivity and specificity to these biomarkers. We will summarize the reported sensitivity and specificity of currently used cancer biomarkers, especially the glycan-related biomarkers, in the forms of tables and radar plots and discuss the pros and cons of currently used cancer biomarkers.
© 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Glycan; Glycoproteins; Glycosphingolipids; Hybridoma technology; Sensitivity; Serum biomarkers; Specificity

Mesh:

Substances:

Year:  2019        PMID: 30905445     DOI: 10.1016/bs.pmbts.2019.01.010

Source DB:  PubMed          Journal:  Prog Mol Biol Transl Sci        ISSN: 1877-1173            Impact factor:   3.622


  6 in total

1.  Applications of Lipidomics in Tumor Diagnosis and Therapy.

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2.  Circulating Glycan Monosaccharide Composite-Based Biomarker Diagnoses Colorectal Cancer at Early Stages and Predicts Prognosis.

Authors:  Haoran Li; Xueling Wang; Xiaodan Huang; Yanli He; Yiran Zhang; Cui Hao; Pengjiao Zeng; Meng Zhang; Yanyun Gao; Dandan Yang; Ming Shan; Huaiqian Dou; Xiaoyu Li; Xiaotian Chang; Zibin Tian; Lijuan Zhang
Journal:  Front Oncol       Date:  2022-04-29       Impact factor: 5.738

Review 3.  Targeting Glycans and Heavily Glycosylated Proteins for Tumor Imaging.

Authors:  Ruben D Houvast; Mireille Vankemmelbeke; Lindy G Durrant; Manfred Wuhrer; Victor M Baart; Peter J K Kuppen; Lioe-Fee de Geus-Oei; Alexander L Vahrmeijer; Cornelis F M Sier
Journal:  Cancers (Basel)       Date:  2020-12-21       Impact factor: 6.639

4.  Serum lactate dehydrogenase activities as systems biomarkers for 48 types of human diseases.

Authors:  Yuling Wu; Caixia Lu; Nana Pan; Meng Zhang; Yi An; Mengyuan Xu; Lijuan Zhang; Yachong Guo; Lijuan Tan
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

5.  Development of a prediction model with serum tumor markers to assess tumor metastasis in lung cancer.

Authors:  Jiasi Wang; Yanpeng Chu; Jie Li; Fanwei Zeng; Min Wu; Tingjie Wang; Liangli Sun; Qianlai Chen; Pingxi Wang; Xiuqin Zhang; Fanxin Zeng
Journal:  Cancer Med       Date:  2020-06-14       Impact factor: 4.452

Review 6.  Recent Advances in Microneedle-Based Sensors for Sampling, Diagnosis and Monitoring of Chronic Diseases.

Authors:  Özgecan Erdem; Ismail Eş; Garbis Atam Akceoglu; Yeşeren Saylan; Fatih Inci
Journal:  Biosensors (Basel)       Date:  2021-08-25
  6 in total

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