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Metabolomic investigation of gastric cancer tissue using gas chromatography/mass spectrometry

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Abstract

Gastric cancer screening or diagnosis is mainly based on endoscopy and biopsy. The aim of this study was to identify the difference of metabolomic profile between normal and malignant gastric tissue, and to further explore tumor biomarkers. Chemical derivatization together with gas chromatography/mass spectrometry (GC/MS) was utilized to obtain the metabolomic information of the malignant and non-malignant tissues of gastric mucosae in 18 gastric cancer patients. Acquired metabolomic data was analyzed using the Wilcoxon rank sum test to find the tissue metabolic biomarkers for gastric cancer. A diagnostic model for gastric cancer was constructed using principal component analysis (PCA), and was assessed with receiver-operating characteristic (ROC) curves. Results showed that 18 metabolites were detected differently between the malignant tissues and the adjacent non-malignant tissues of gastric mucosa. Five metabolites were also detected differently between the non-invasive tumors and the invasive tumors. The diagnostic model could discriminate tumors from normal mucosae with an area under the curve (AUC) value of 0.9629, and another diagnostic model constructed for clinical staging was assessed with an AUC value of 0.969. We conclude that the metabolomic profile of malignant gastric tissue was different from normal, and that the selected tissue metabolites could probably be applied for clinical diagnosis or staging for gastric cancer.

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Acknowledgments

This study was financially supported by National Basic Research Program of China (2007CB936000), Ministry of Health (2009ZX10004-301), China National Key Projects for Infectious Diseases (2008ZX10002-017) and National Nature Science Foundation of China (No. 30772505 and No. 30872503).

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Authors and Affiliations

  1. Department of Gastroenterology, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032, China

    Hao Wu, Ruyi Xue, Taotao Liu & Xizhong Shen

  2. Department of General Surgery, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032, China

    Zhaoqing Tang & Yihong Sun

  3. Department of Chemistry, Fudan University, Shanghai, 200433, China

    Chunhui Deng

  4. Shanghai Sensichip Infotech Co., Ltd, Shanghai, 200433, China

    Huazong Zeng

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  1. Hao Wu
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Correspondence to Yihong Sun or Xizhong Shen.

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Wu, H., Xue, R., Tang, Z. et al. Metabolomic investigation of gastric cancer tissue using gas chromatography/mass spectrometry. Anal Bioanal Chem 396, 1385–1395 (2010). https://doi.org/10.1007/s00216-009-3317-4

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  • DOI: https://doi.org/10.1007/s00216-009-3317-4

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