OncoTargets and Therapy (Oct 2019)

Investigation Of Small Molecular Substances As Potential Biomarkers For Discrimination Of Gastric Tumor

  • Zhang J,
  • Gao Q,
  • Luo X,
  • Zhang W,
  • Wang N,
  • Wei Y

Journal volume & issue
Vol. Volume 12
pp. 8587 – 8594

Abstract

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Jianyong Zhang,1–3,* Qingjun Gao,1,* Xue Luo,1 Wenxiong Zhang,2 Nanpeng Wang,1 Yiping Wei2 1Department of General Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550004, People’s Republic of China; 2Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province 330006, People’s Republic of China; 3Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, Jiangxi Province 330013, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yiping WeiDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province 330006, People’s Republic of ChinaTel +86 136 8791 9322Email [email protected] WangDepartment of General Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550004, People’s Republic of ChinaTel +86 136 0856 6260Email [email protected]: Gastric tumor (GT) is associated with high morbidity and mortality, with surgery among the most effective treatment methods. Accurate interoperative determination of the tumor margin is crucial.Methods: In this study, using internal extractive electrospray ionization-MS, mass spectral data of GT and gastric normal (GN) tissues from 36 patients were collected.Results: In positive ion detection mode, the relative abundances of m/z 132, 147, 170, and 175 were increased, while the relative abundances of m/z 55, 83, 154, and 203 were decreased in GT tissue. Using partial least squares analysis, the mass spectral data of GT and GN tissues were discriminated, and differential ions (P≤0.01), including m/z 55, 83, 154, 170, and 203, were obtained from loading plots. After receiver operating characteristic curve analysis, peaks at m/z 83 and 203 showed high accuracy for distinguishing GT from GN tissue. These two peaks were then preliminarily attributed to 5-aminoimidazole and serylproline, respectively, which might be useful molecular biomarkers associated with GT development.Conclusion: Further investigations of the functions of 5-aminoimidazole and serylproline might provide a better understanding of the underlying mechanisms involved in GT.Keywords: gastric tumor, biomarkers, mass spectrometry, MS, tumor margin

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