Copyright (c) 2015 AJC
This work is licensed under a Creative Commons Attribution 4.0 International License.
Serum Metabolomic Analysis of Cervical Cancer Patients by Gas Chromatography-Mass Spectrometry
Corresponding Author(s) : Nengsheng Ye
Asian Journal of Chemistry,
Vol. 27 No. 2 (2015): Vol 27 Issue 2
Abstract
In this paper, gas chromatography-mass spectrometry (GC-MS) in combination with pattern recognition techniques were used to analyze serum metabolites in cervical cancer patients. The experimental parameters, including the extraction solvent, temperature and time of derivatization and chromatographic conditions, were investigated for serum metabolomic profiling. Forty-five endogenous metabolites included amino acids, fatty acids, carbohydrates and other intermediate metabolites were identified. Partial least squares discriminant analysis (PLS-DA), clustering analysis and principal component analysis based on these metabolites were applied to the discrimination of health group from cervical cancer group. The results showed that 18 metabolites were detected differently between the health group and cervical cancer group, but also demonstrated that the GC-MS technique was a valuable tool for the characterization of the serum metabolic profiling and the metabolomic study will be certainly benefit for monitoring the state of cervical patients, the prognosis and therapy evaluation of cervical cancer patients.
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References
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A. Hasim, M. Ali, B. Mamtimin, J.Q. Ma, Q.Z. Li and A. Abudula, Exp. Ther. Med., 3, 945 (2012).
E.S. Amirian, K. Adler-Storthz and M.E. Scheurer, Cancer Lett., 336, 18 (2013); doi:10.1016/j.canlet.2013.04.023.
E.K. Yim and J.S. Park, Expert Rev. Proteomics, 3, 21 (2006); doi:10.1586/14789450.3.1.21.
N.S. Ye and J. Li, Anal. Lett., 46, 250 (2013); doi:10.1080/00032719.2012.718826.
G.A.N. Gowda, S. Zhang, H. Gu, V. Asiago, N. Shanaiah and D. Raftery, Expert Rev. Mol. Diagn., 8, 617 (2008); doi:10.1586/14737159.8.5.617.
Y.S. Kim, P. Maruvada and J.A. Milner, Future Oncol., 4, 93 (2008); doi:10.2217/14796694.4.1.93.
M. Yoshida, N. Hatano, S. Nishiumi, Y. Irino, Y. Izumi, T. Takenawa and T. Azuma, J. Gastroenterol., 47, 9 (2012); doi:10.1007/s00535-011-0493-8.
J.L. Spratlin, N.J. Serkova and S.G. Eckhardt, Clin. Cancer Res., 15, 431 (2009); doi:10.1158/1078-0432.CCR-08-1059.
G. Theodoridis, H.G. Gika and I.D. Wilson, Mass Spectrom. Rev., 30, 884 (2011); doi:10.1002/mas.20306.
B. Sitter, T.F. Bathen, M.B. Tessem and I.S. Gribbestad, Prog. Nucl. Mag. Res. Sp., 54, 239 (2009); doi:10.1016/j.pnmrs.2008.10.001.
D.I. Ellis and R. Goodacre, Analyst, 131, 875 (2006); doi:10.1039/b602376m.
R. Ramautar, O.A. Mayboroda, G.W. Somsen and G.J. de Jong, Electrophoresis, 32, 52 (2011); doi:10.1002/elps.201000378.
R. Ramautar, G.W. Somsen and G.J. de Jong, Electrophoresis, 30, 276 (2009); doi:10.1002/elps.200800512.
R. Ramautar, G.W. Somsen and G.J. de Jong, Electrophoresis, 34, 86 (2013); doi:10.1002/elps.201200390.
Z.M. Wu, Z.Q. Huang, R. Lehmann, C.X. Zhao and G.W. Xu, Chromatographia, 69, S23 (2009); doi:10.1365/s10337-009-0956-8.
M.M. Koek, R.H. Jellema, J. Greef, A.C. Tas and T. Hankemeier, Metabolomics, 7, 307 (2011); doi:10.1007/s11306-010-0254-3.
P.A. Guy, I. Tavazzi, S.J. Bruce, Z. Ramadan and S. Kochhar, J. Chromatogr. B Analyt. Technol. Biomed. Life Sci., 871, 253 (2008); doi:10.1016/j.jchromb.2008.04.034.
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J. Wang, L.F. Yu, P. Shen and S.F. Wang, J. Zhejiang Univ. Med. Sci., 38, 478 (2009).
H. Wu, R.Y. Xue, L. Dong, T.T. Liu, C.H. Deng, H.Z. Zeng and X.Z. Shen, Anal. Chim. Acta, 648, 98 (2009); doi:10.1016/j.aca.2009.06.033.
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H. Wu, R.Y. Xue, Z.Q. Tang, C.H. Deng, T.T. Liu, H.Z. Zeng, Y.H. Sun and X.Z. Shen, Anal. Bioanal. Chem., 396, 1385 (2010); doi:10.1007/s00216-009-3317-4.