Literature DB >> 21853445

Identification and assessment of new biomarkers for colorectal cancer with serum N-glycan profiling.

Yun-Peng Zhao1, Can-Ping Ruan, Hao Wang, Zhi-Qian Hu, Meng Fang, Xing Gu, Jun Ji, Jin-Yan Zhao, Chun-Fang Gao.   

Abstract

BACKGROUND: The objectives of this study were to identify and validate the diagnostic value of N-glycan markers in colorectal cancer (CRC) and to uncover their underlying molecular mechanism.
METHODS: In total, 347 individuals, including patients with CRC, patients with colorectal adenoma, and healthy controls, were divided randomly into a training group (n = 287) and retrospective validation groups (n = 60). Serum N-glycan profiling was analyzed by DNA sequencer-assisted/flurophore-assisted carbohydrate electrophoresis (DSA-FACE). Two diagnostic models were constructed based on N-glycan profiling with logistic stepwise regression. The diagnostic performance of each model was assessed further in retrospective, prospective (n = 43), and follow-up (n = 46) cohorts. Lectin blot and reverse transcriptase-polymerase chain reaction were used to analyze the total core-fucosylated residues and molecular expression involved in core-fucosylation modifications in CRC.
RESULTS: Two diagnostic models designated CRCglycoA and CRCglycoB were constructed to differentiate CRC from normal and adenoma, respectively. The areas under the receiver operating characteristic curves (AUC) of both CRCglycoA and CRCglycoB were higher than the AUC of carcinoembryonic antigen (CEA) (CRCglycoA, 0.92 vs 0.81; CRCglycoB, 0.81 vs 0.73). The sensitivity and accuracy of CRCglycoA improved from 21.7% to 25% and from 11.63% to 18% in the training cohort, the retrospective cohort, and the prospective cohorts compared with the sensitivity and accuracy of CEA. The sensitivity of CRCglycoB improved from 20% to 28.23%. Both altered N-glycans, and results from the diagnostic models were reversed after curative surgery. The level of total core fucose residues and fucosyltransferase were decreased significantly in CRC.
CONCLUSIONS: The current results indicated that the N-glycan markers based diagnostic models are new, valuable, noninvasive alternatives for identifying CRC. The authors concluded that decreased fucosyltransferase may be responsible for decreased levels of total core-fucosylated modification in both tissues and serum from patients with CRC.
Copyright © 2011 American Cancer Society.

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Year:  2011        PMID: 21853445     DOI: 10.1002/cncr.26342

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  23 in total

1.  Complementary Glycomic Analyses of Sera Derived from Colorectal Cancer Patients by MALDI-TOF-MS and Microchip Electrophoresis.

Authors:  Christa M Snyder; William R Alley; Margit I Campos; Martin Svoboda; John A Goetz; Jaqueline A Vasseur; Stephen C Jacobson; Milos V Novotny
Journal:  Anal Chem       Date:  2016-09-13       Impact factor: 6.986

2.  Validation of N-glycan markers that improve the performance of CA19-9 in pancreatic cancer.

Authors:  Yun-Peng Zhao; Ping-Ting Zhou; Wei-Ping Ji; Hao Wang; Meng Fang; Meng-Meng Wang; Yue-Peng Yin; Gang Jin; Chun-Fang Gao
Journal:  Clin Exp Med       Date:  2015-12-29       Impact factor: 3.984

3.  A Load to Find Clinically Useful Biomarkers for Depression.

Authors:  Matea Nikolac Perkovic; Marina Sagud; Lucija Tudor; Marcela Konjevod; Dubravka Svob Strac; Nela Pivac
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

4.  Screening and diagnosis of colorectal cancer and advanced adenoma by Bionic Glycome method and machine learning.

Authors:  Yiqing Pan; Lei Zhang; Rongrong Zhang; Jing Han; Wenjun Qin; Yong Gu; Jichen Sha; Xiaoyan Xu; Yi Feng; Zhipeng Ren; Jiawen Dai; Ben Huang; Shifang Ren; Jianxin Gu
Journal:  Am J Cancer Res       Date:  2021-06-15       Impact factor: 6.166

5.  Anti-CEA loaded maghemite nanoparticles as a theragnostic device for colorectal cancer.

Authors:  Mariana Campos da Paz; Maria de Fátima M Almeida Santos; Camila M B Santos; Sebastião W da Silva; Lincoln Bernardo de Souza; Emília C D Lima; Renata C Silva; Carolina M Lucci; Paulo César Morais; Ricardo B Azevedo; Zulmira G M Lacava
Journal:  Int J Nanomedicine       Date:  2012-10-04

Review 6.  Aberrant glycosylation and cancer biomarker discovery: a promising and thorny journey.

Authors:  Mengmeng Wang; Jianhui Zhu; David M Lubman; Chunfang Gao
Journal:  Clin Chem Lab Med       Date:  2019-03-26       Impact factor: 8.490

7.  Serum N-Glycans: A New Diagnostic Biomarker for Light Chain Multiple Myeloma.

Authors:  Jie Chen; Meng Fang; Yun-Peng Zhao; Chang-Hong Yi; Jun Ji; Cheng Cheng; Meng-Meng Wang; Xing Gu; Quan-Sheng Sun; Xiao-Ling Chen; Chun-Fang Gao
Journal:  PLoS One       Date:  2015-06-15       Impact factor: 3.240

Review 8.  Biosynthetic Machinery Involved in Aberrant Glycosylation: Promising Targets for Developing of Drugs Against Cancer.

Authors:  Andréia Vasconcelos-Dos-Santos; Isadora A Oliveira; Miguel Clodomiro Lucena; Natalia Rodrigues Mantuano; Stephen A Whelan; Wagner Barbosa Dias; Adriane Regina Todeschini
Journal:  Front Oncol       Date:  2015-06-25       Impact factor: 6.244

9.  Cell surface-specific N-glycan profiling in breast cancer.

Authors:  Xia Liu; Huan Nie; Yubao Zhang; Yuanfei Yao; Alaiyi Maitikabili; Youpeng Qu; Shuliang Shi; Cuiying Chen; Yu Li
Journal:  PLoS One       Date:  2013-08-23       Impact factor: 3.240

Review 10.  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

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