Abstract
Serum was obtained from 25 male renal cell carcinoma (RCC) patients and 21 healthy males. O-glycans were released by a β-elimination reaction and purified by graphitized carbon cartridge solid phase extraction, then profiled by matrix-assisted laser desorption/ionisation-time of flight mass spectrometry. After noise removal and peak alignment, 1372 peaks were extracted from 200000 data points. Feature peaks were analyzed by calculation of differential sensitivity and specificity. The combination of two feature peaks was chosen as a biomarker and could clearly differentiate RCC and normal samples in our study group.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Gutwein P, Schramme A, Sinke N, et al. Tumoural CXCL16 expression is a novel prognostic marker of longer survival times in renal cell cancer patients. Eur J Cancer, 2009, 45: 478–489
Baldewijns M M, van Vlodrop I J, Schouten L J, et al. Genetics and epigenetics of renal cell cancer. Biochim et Biophys Acta, 2008, 1785: 133–155
Zheng L G. Clinical value of IVU, CT and MRI in renal carcinoma. Chin Med Equip J, 2010, 8: 83–90
Pantuck A J, Zisman A, Belldegrun A S. The changing natural history of renal cell carcinoma. J Urol, 2001, 166: 1611–1623
Drucker B J. Renal cell carcinoma: current status and future prospects, Cancer Treat Rev, 2005, 31: 536–545
Taniguchi N. Toward cancer biomarker discovery using the glycomics approach, Proteomics, 2008, 16: 3205–3208
Ohtsubo K, Marth J D. Glycosylation in cellular mechanisms of health and disease. Cell, 2006, 126: 855–867
Alper J. Glycobiology. Turning sweet on cancer. Science, 2003, 301: 159–160
Villanueva J. Differential exoprotease activities confer tumor-specific serum peptidome patterns. J Proteome Res, 2005, 4: 1060–1072
Reis C A, Osorio H, Silva L, et al. Alterations in glycosylation as biomarkers for cancer detection. J Clin Pathol, 2010, 63: 322–329
Ishizuka A, Hashimto Y, Naka R, et al. Accumulation of free complex-type N-glycans in MKN7 and MKN45 stomach. Biochem J, 2008, 413: 227–237
Kirmiz C, Li B, An H J, et al. A serum glycomics approach to breast cancer biomarkers. Mol Cell Proteomics, 2007, 6: 43–55
Kyselova Z, Mechref Y, Al Bataineh M M, et al. Alterations in the serum glycome due to metastatic prostate cancer. J Proteome Res, 2007, 6: 1822–1832
Perret A G, Clemencon A, Li G, et al. Differential expression of prognostic markers in histological subtypes of papillary renal cell carcinoma. BJU Int, 2008, 102: 183–187
Aubert S, Fauquette V, Hémon B, et al. MUC1, a new hypoxia inducible factor target gene, is an actor in clear renal cell carcinoma tumor progression. Cancer Res, 2009, 69: 5707–5715
Morelle W, Michalski J C. Analysis of protein glycosylation by mass spectrometry. Nat Protoc, 2007, 2: 1585–1602
Diamandis E P. Mass spectrometry as a diagnostic and a cancer biomarker discovery tool. Mol Cell Proteomics, 2004, 3: 367–378
Morelle W, Canis K, Chirat F, et al. The use of mass spectrometry for the proteomic analysis of glycosylation. Proteomics, 2006, 6: 3993–4015
McLerran D F, Feng Z, Semmes O J, et al. Signal detection in high-resolution mass spectrometry data. J Proteome Res, 2008, 7: 276–285
Zhang S, DeGraba T J, Wang H, et al. A novel peak detection approach with chemical noise removal using short-time FFT for prOTOF MS data. Proteomics, 2009, 9: 3833–3842
Yang C, He Z, Yu W. Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis. BMC Bioinformatics, 2009, 10: 4–17
Author information
Authors and Affiliations
Corresponding authors
Additional information
This article is published with open access at Springerlink.com
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Gao, Y., Ma, F., Zhang, W. et al. O-glycan profiling of serum glycan for potential renal cancer biomarkers. Sci. China Life Sci. 56, 739–744 (2013). https://doi.org/10.1007/s11427-013-4498-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11427-013-4498-9