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Article

Identification of 14‑3‑3ζ as a potential biomarker in gastric cancer by proteomics‑based analysis

  • Authors:
    • Xin‑Xin Liu
    • Hua Ye
    • Peng Wang
    • Yi Zhang
    • Jian‑Ying Zhang
  • View Affiliations / Copyright

    Affiliations: Center for Tumor Biotherapy, The First Affiliated Hospital of Zhengzhou University and College of Public Health, Zhengzhou University, Zhengzhou, Henan 450052, P.R. China
  • Pages: 7759-7765
    |
    Published online on: September 18, 2017
       https://doi.org/10.3892/mmr.2017.7496
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Abstract

The identification of tumor biomarkers to support early diagnosis and tumor progression monitoring may potentially reduce the mortality of gastric cancer (GC). The present study aimed to detect novel tumor‑associated antigens from the AGS GC cell line, and to identify their associated autoantibodies in sera from patients with GC by proteomics‑based approaches. Proteins from AGS cell lysates were isolated using two‑dimensional polyacrylamide gel electrophoresis, and western blotting was subsequently performed, to determine autoantibody responses in sera derived from patients with GC and healthy individuals. Positive protein spots were removed from gels stained with Coomassie blue, and were then evaluated by liquid chromatography‑tandem mass spectrometry. Sera from patients with GC produced numerous spots, one of which was identified as 14‑3‑3ζ. Autoantibody frequency to 14‑3‑3ζ was 17.6% (15/85) in patients with GC, which was significantly higher than that in healthy control individuals (2.4%; 2/85; P<0.01). These results suggested that the autoantibody against 14‑3‑3ζ may be a potential serological biomarker for the detection and diagnosis of GC.
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Copy and paste a formatted citation
Spandidos Publications style
Liu XX, Ye H, Wang P, Zhang Y and Zhang JY: Identification of 14‑3‑3ζ as a potential biomarker in gastric cancer by proteomics‑based analysis. Mol Med Rep 16: 7759-7765, 2017.
APA
Liu, X., Ye, H., Wang, P., Zhang, Y., & Zhang, J. (2017). Identification of 14‑3‑3ζ as a potential biomarker in gastric cancer by proteomics‑based analysis. Molecular Medicine Reports, 16, 7759-7765. https://doi.org/10.3892/mmr.2017.7496
MLA
Liu, X., Ye, H., Wang, P., Zhang, Y., Zhang, J."Identification of 14‑3‑3ζ as a potential biomarker in gastric cancer by proteomics‑based analysis". Molecular Medicine Reports 16.5 (2017): 7759-7765.
Chicago
Liu, X., Ye, H., Wang, P., Zhang, Y., Zhang, J."Identification of 14‑3‑3ζ as a potential biomarker in gastric cancer by proteomics‑based analysis". Molecular Medicine Reports 16, no. 5 (2017): 7759-7765. https://doi.org/10.3892/mmr.2017.7496
Copy and paste a formatted citation
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Spandidos Publications style
Liu XX, Ye H, Wang P, Zhang Y and Zhang JY: Identification of 14‑3‑3ζ as a potential biomarker in gastric cancer by proteomics‑based analysis. Mol Med Rep 16: 7759-7765, 2017.
APA
Liu, X., Ye, H., Wang, P., Zhang, Y., & Zhang, J. (2017). Identification of 14‑3‑3ζ as a potential biomarker in gastric cancer by proteomics‑based analysis. Molecular Medicine Reports, 16, 7759-7765. https://doi.org/10.3892/mmr.2017.7496
MLA
Liu, X., Ye, H., Wang, P., Zhang, Y., Zhang, J."Identification of 14‑3‑3ζ as a potential biomarker in gastric cancer by proteomics‑based analysis". Molecular Medicine Reports 16.5 (2017): 7759-7765.
Chicago
Liu, X., Ye, H., Wang, P., Zhang, Y., Zhang, J."Identification of 14‑3‑3ζ as a potential biomarker in gastric cancer by proteomics‑based analysis". Molecular Medicine Reports 16, no. 5 (2017): 7759-7765. https://doi.org/10.3892/mmr.2017.7496
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