Literature DB >> 30905446

Retrospective analysis of glycan-related biomarkers based on clinical laboratory data in two medical centers during the past 6 years.

Meng Zhang1, Huaiqian Dou2, Dandan Yang2, Ming Shan2, Xiulian Li2, Cui Hao2, Yiran Zhang2, Pengjiao Zeng2, Yanli He2, Yong Liu2, Jing Fu2, Wei Wang3, Minghui Hu4, Hui Li4, Qingwu Tian4, Shuhe Lei5, Lijuan Zhang6.   

Abstract

Most of clinically used cancer biomarkers are either specific glycan structures or glycoproteins. Although the high serum levels of the cancer biomarkers are also present in certain patients suffering noncancer diseases, systematic measurement and comparison of the serum levels of all cancer biomarkers among cancer and noncancer patients have not been reported. In this study, the serum levels of 17 glucose and glycan-related biomarkers including 10 cancer biomarkers SCCA, CA724, CA50, CA242, CA125, CA199, CA153, AFP, CEA, and PSA were retrospectively investigated based on clinical laboratory data in two medical centers during the past 6 years (2012-2018). The data included a total of 1,477,309 clinical lab test results of 17 biomarkers from healthy controls and patients suffering 64 different types of cancer and noncancer diseases. We found that the median serum levels of CA724, CEA, CA153, SCCA, and CA125 were highest not in cancer patients but in patients suffering gout, lung fibrosis, nephrotic syndrome, uremia, and cirrhosis, respectively. Consistently, the classical ovarian cancer biomarker CA125 had better overall sensitivity and specificity as biomarker for cirrhosis (67% and 92%, respectively) than that for ovarian cancer (41% and 97%, respectively). Furthermore, the information shown as heatmap or waterfall built on the -Log10p values of the 17 glycan-related biomarkers in different clinically defined diseases suggested that all glycan-related biomarkers had cancer-, aging-, and disease-relevant characteristics and cancers were systems disease. The detailed presentation of the data for each of the 17 biomarkers will be deliberated in chapters 6-23 in this book series.
© 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Glycan; Noncancer diseases; Retrospective analysis; Serum biomarker; Statistical analysis

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Year:  2019        PMID: 30905446     DOI: 10.1016/bs.pmbts.2019.01.003

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


  4 in total

1.  Gamma-Glutamyltransferase Activity (GGT) Is a Long-Sought Biomarker of Redox Status in Blood Circulation: A Retrospective Clinical Study of 44 Types of Human Diseases.

Authors:  Cui Bai; Meng Zhang; Yiran Zhang; Yixiong He; Huaiqian Dou; Ziyue Wang; Zhiliang Wang; Zipu Li; Lijuan Zhang
Journal:  Oxid Med Cell Longev       Date:  2022-06-06       Impact factor: 7.310

2.  Performance evaluation of CA242 by flow fluorescence assay.

Authors:  Yanyan Hou; Yongquan Chen; Jieli Sun; Jinting Geng; Hongwei Jin; Zhongying Zhang
Journal:  Medicine (Baltimore)       Date:  2021-04-16       Impact factor: 1.817

Review 3.  Glycosylation Biomarkers Associated with Age-Related Diseases and Current Methods for Glycan Analysis.

Authors:  Beatrix Paton; Manuel Suarez; Pol Herrero; Núria Canela
Journal:  Int J Mol Sci       Date:  2021-05-28       Impact factor: 5.923

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

  4 in total

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