Literature DB >> 31453685

Straightforward and Highly Efficient Strategy for Hepatocellular Carcinoma Glycoprotein Biomarker Discovery Using a Nonglycopeptide-Based Mass Spectrometry Pipeline.

Wei-Qian Cao, Bi-Yun Jiang, Jiang-Ming Huang, Lei Zhang, Ming-Qi Liu, Jun Yao, Meng-Xi Wu, Li-Juan Zhang, Si-Yuan Kong, Yi Wang, Peng-Yuan Yang.   

Abstract

Efficient detection of aberrant glycoproteins in serum is particularly important for biomarker discovery. However, direct quantitation of glycoproteins in serum remains technically challenging because of the extraordinary complexity of the serum proteome. In the current work, we proposed a straightforward and highly efficient strategy by using the nonglycopeptides releasing from the specifically enriched glycoproteins for targeted glycoprotein quantification. With this so-called nonglycopeptide-based mass spectrometry (NGP-MS) strategy, a powerful and nondiscriminatory pipeline for hepatocellular carcinoma (HCC) glycoprotein biomarker discovery, verification, and validation has been developed. First, a data set of 234 NGPs was strictly established for multiple-reaction monitoring (MRM) quantification in serum. Second, the NGPs enriched from 20 HCC serum mixtures and 20 normal serum mixtures were labeled with mTRAQ reagents (Δ0 and Δ8, respectively) to find the differentially expressed glycoproteins in HCC. A total of 97 glycoprotein candidates were preliminarily screened and submitted for absolute quantitation with NGP-based stable-isotope-labeled (SID)-MRM in the individual samples of 38 HCC serum and 24 normal controls. Finally, 21 glycoproteins were absolutely quantified with high quality. The diagnostic sensitivity results showed that three glycoproteins, β-2-glycoprotein 1 (APOH), α-1-acid glycoprotein 2 (ORM2), and complement C3 (C3), could be used for the discrimination between HCC patients and healthy people. A novel glycoprotein biomarker panel [APOH, ORM2, C3, and α-fetoprotein (AFP)] has proven to outperform AFP, the known HCC serum biomarker, alone, in this study. We believe that this strategy and the panel of glycoproteins might hold great clinical value for HCC detection in the future.

Entities:  

Year:  2019        PMID: 31453685     DOI: 10.1021/acs.analchem.9b03074

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  8 in total

1.  Diagnostic role of plasma ORM2 in differentiating prostate cancer from benign prostatic hyperplasia.

Authors:  Yuqiu Ge; Bin Xu; Hongzhou Cai; Wentao Jing; Qiong Ouyang; Qinbo Yuan; Xu Li; Yuanming Fan; Yang Shen; Qianqian Shi; Qiangdong Wang; Li Cui; Xiaojian Yin; Gaoxiang Ma
Journal:  J Cancer Res Clin Oncol       Date:  2022-10-05       Impact factor: 4.322

Review 2.  Inside-Out of Complement in Cancer.

Authors:  Martin Kolev; Madhumita Das; Monica Gerber; Scott Baver; Pascal Deschatelets; Maciej M Markiewski
Journal:  Front Immunol       Date:  2022-07-01       Impact factor: 8.786

3.  Epigenetic effects of low-level sodium arsenite exposure on human liver HepaRG cells.

Authors:  Volodymyr P Tryndyak; Barbara Borowa-Mazgaj; Colleen R Steward; Frederick A Beland; Igor P Pogribny
Journal:  Arch Toxicol       Date:  2020-08-25       Impact factor: 5.153

4.  Orosomucoid in liver diseases.

Authors:  Gulsum Ozlem Elpek
Journal:  World J Gastroenterol       Date:  2021-12-07       Impact factor: 5.742

5.  Investigation of proteomic profiles in canine lymphoma using tandem mass tag-based quantitative proteomics approach.

Authors:  Piyanoot Fonghem; Trairak Pisitkun; Kasem Rattanapinyopituk; Sirintra Sirivisoot; Anudep Rungsipipat
Journal:  Vet World       Date:  2022-05-26

6.  Construction of 2DE Patterns of Plasma Proteins: Aspect of Potential Tumor Markers.

Authors:  Stanislav Naryzhny; Natalia Ronzhina; Elena Zorina; Fedor Kabachenko; Nikolay Klopov; Victor Zgoda
Journal:  Int J Mol Sci       Date:  2022-09-21       Impact factor: 6.208

7.  A Novel Immune-Related Seventeen-Gene Signature for Predicting Early Stage Lung Squamous Cell Carcinoma Prognosis.

Authors:  Tao Fan; Zhiliang Lu; Yu Liu; Liyu Wang; He Tian; Yujia Zheng; Bo Zheng; Liyan Xue; Fengwei Tan; Qi Xue; Shugeng Gao; Chunxiang Li; Jie He
Journal:  Front Immunol       Date:  2021-06-11       Impact factor: 7.561

8.  Proteomic analysis revealed common, unique and systemic signatures in gender-dependent hepatocarcinogenesis.

Authors:  Huiling Li; Zhuona Rong; Hong Wang; Nan Zhang; Chunwen Pu; Yi Zhao; Xu Zheng; Chuanyi Lei; Yang Liu; Xiaoqin Luo; Jun Chen; Fujin Wang; Aiguo Wang; Jingyu Wang
Journal:  Biol Sex Differ       Date:  2020-08-13       Impact factor: 5.027

  8 in total

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