Skip to main content

A Glycomics Approach to the Discovery of Potential Cancer Biomarkers

  • Protocol
  • First Online:

Part of the book series: Methods in Molecular Biology ((MIMB,volume 600))

Abstract

Glycosylation is highly sensitive to the biochemical environment and plays a key role in development and disease manifestation. Moreover, glycan biosynthesis depends on several highly competitive processes; thus, variations in the concentration of specific glycosyltransferases produce different products. For this reason, monitoring changes in glycosylation may be a more specific and sensitive approach to biomarker discovery and possibly disease diagnosis. Glycans in serum are of particular interest as approximately half of all proteins are glycosylated. We have developed the methods for profiling the glycans in human serum to identify glycan biomarker. Global release methods were used including chemical and enzymatic to access O-linked and N-linked glycans, respectively. Glycans were released from the culture medium of various cancer cell lines, in control sera, and in cancer patients and isolated using solid phase extraction (SPE) with a porous graphitized carbon. The SPE fractions were analyzed by matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI FTICR MS). Glycan compositions were determined based on accurate masses and tandem mass spectrometry. Glycosylation changes between control and patient group were monitored. Several glycans were identified as potential markers for ovarian, breast, and prostate cancer. In short, direct glycan analysis of human serum without any protein identification represents a new and innovative approach to disease marker discovery.

This is a preview of subscription content, log in via an institution.

Buying options

Protocol
USD   49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Springer Nature is developing a new tool to find and evaluate Protocols. Learn more

References

  1. Brockhausen, I. (1999) Pathways of O-glycan biosynthesis in cancer cells. Biochim. Biophys. Acta 1473, 67–95.

    CAS  PubMed  Google Scholar 

  2. Dube, D. H. and Bertozzi, C. R. (2005) Glycans in cancer and inflammation. Potential for therapeutics and diagnostics. Nat. Rev. Drug Discov. 4, 477–488.

    Article  CAS  PubMed  Google Scholar 

  3. Fuster, M. M. and Esko, J. D. (2005) The sweet and sour of cancer: glycans as novel therapeutic targets. Nat. Rev. Cancer 5, 526–542.

    Article  CAS  PubMed  Google Scholar 

  4. Apweiler, R., Hermjakob, H., and Sharon, N. (1999) On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database. Biochim. Biophys. Acta 1473, 4–8.

    CAS  PubMed  Google Scholar 

  5. Dennis, J. W., Granovsky, M., and Warren, C. E. (1999) Protein glycosylation in development and disease. Bioessays 21, 412–421.

    Article  CAS  PubMed  Google Scholar 

  6. Manning, J. C., Seyrek, K., Kaltner, H., Andre, S., Sinowatz, F., and Gabius, H. J. (2004) Glycomic profiling of developmental changes in bovine testis by lectin histochemistry and further analysis of the most prominent alteration on the level of the glycoproteome by lectin blotting and lectin affinity chromatography. Histol. Histopathol. 19, 1043–1060.

    CAS  PubMed  Google Scholar 

  7. Thaysen-Andersen, M., Thogersen, I. B., Lademann, U., Offenberg, H., Giessing, A. M. B., Enghild, J. J., Nielsen, H. J., Brunner, N., and Hojrup, P. (2008) Investigating the biomarker potential of glycoproteins using comparative glycoprofiling – application to tissue inhibitor of metalloproteinases-1. Biochim. Biophys. Acta 1784, 455–463.

    CAS  PubMed  Google Scholar 

  8. Uchiyama, N., Kuno, A., Tateno, H., Kubo, Y., Mizuno, M., Noguchi, M., and Hirabayashi, J. (2008) Optimization of evanescent-field fluorescence-assisted lectin microarray for high-sensitivity detection of monovalent oligosaccharides and glycoproteins. Proteomics 8, 3042–3050.

    Article  CAS  PubMed  Google Scholar 

  9. Kuno, A., Uchiyama, N., Koseki-Kuno, S., Ebe, Y., Takashima, S., Yamada, M., and Hirabayashi, J. (2005) Evanescent-field fluorescence-assisted lectin microarray: a new strategy for glycan profiling. Nat. Methods 2, 851–856.

    Article  CAS  PubMed  Google Scholar 

  10. Patwa, T. H., Zhao, J., Anderson, M. A., Simeone, D. M., and Lubman, D. M. (2006) Screening of glycosylation patterns in serum using natural glycoprotein microarrays and multi-lectin fluorescence detection. Anal. Chem. 78, 6411–6421.

    Article  CAS  PubMed  Google Scholar 

  11. An, H. J., Miyamoto, S., Lancaster, K. S., Kirmiz, C., Li, B. S., Lam, K. S., Leiserowitz, G. S., and Lebrilla, C. B. (2006) Profiling of glycans in serum for the discovery of potential biomarkers for ovarian cancer. J. Proteome Res. 5, 1626–1635.

    Article  CAS  PubMed  Google Scholar 

  12. Kirmiz, C., Li, B. S., An, H. J., Clowers, B. H., Chew, H. K., Lam, K. S., Ferrige, A., Alecio, R., Borowsky, A. D., Sulaimon, S., Lebrilla, C. B., and Miyamoto, S. (2007) A serum glycomics approach to breast cancer biomarkers. Mol. Cell. Proteomics 6, 43–55.

    CAS  PubMed  Google Scholar 

  13. Kyselova, Z., Mechref, Y., Al Bataineh, M. M., Dobrolecki, L. E., Hickey, R. J., Vinson, J., Sweeney, C. J., and Novotny, M. V. (2007) Alterations in the serum glycome due to metastatic prostate cancer. J. Proteome Res. 6, 1822–1832.

    Article  CAS  PubMed  Google Scholar 

  14. de Leoz, M. L. A., An, H. J., Kronewitter, S., Kim, J., Beecroft, S., Vinall, R., Miyamoto, S., de Vere White, R., Lam, K. S., and Lebrilla, C. B. (2008) Glycomic approach for potential biomarkers on prostate cancer: profiling of N-linked glycans in human sera and pRNS cell lines. Dis. Markers: Glycobiol. 25, 243–258.

    Google Scholar 

  15. Kita, Y., Miura, Y., Furukawa, J., Nakano, M., Shinohara, Y., Ohno, M., Takimoto, A., and Nishimura, S. (2007) Quantitative glycomics of human whole serum glycoproteins based on the standardized protocol for liberating N-glycans. Mol. Cell. Proteomics 6, 1437–1445.

    Article  CAS  PubMed  Google Scholar 

  16. Morelle, W., Flahaut, C., Michalski, J. C., Louvet, A., Mathurin, P., and Klein, A. (2006) Mass spectrometric approach for screening modifications of total serum N-glycome in human diseases: application to cirrhosis. Glycobiology 16, 281–293.

    Article  CAS  PubMed  Google Scholar 

  17. Kam, R. K. T., Poon, T. C. W., Chan, H. L. Y., Wong, N., Hui, A. Y., and Sung, J. J. Y. (2007) High-throughput quantitative profiling of serum N-glycome by MALDI-TOF mass spectrometry and N-glycomic fingerprint of liver fibrosis. Clin. Chem. 53, 1254–1263.

    Article  CAS  PubMed  Google Scholar 

  18. Harvey, D. J., Royle, L., Radcliffe, C. M., Rudd, P. M., and Dwek, R. A. (2008) Structural and quantitative analysis of N-linked glycans by matrix-assisted laser desorption ionization and negative ion nanospray mass spectrometry. Anal. Biochem. 376, 44–60.

    Article  CAS  PubMed  Google Scholar 

  19. Isailovic, D., Kurulugama, R. T., Plasencia, M. D., Stokes, S. T., Kyselova, Z., Goldman, R., Mechref, Y., Novotny, M. V., and Clemmer, D. E. (2008) Profiling of human serum glycans associated with liver cancer and cirrhosis by IMS-MS. J. Proteome Res. 7, 1109–1117.

    Article  CAS  PubMed  Google Scholar 

  20. Zhao, J., Qiu, W. L., Simeone, D. M., and Lubman, D. M. (2007) N-linked glycosylation profiling of pancreatic cancer serum using capillary liquid phase separation coupled with mass spectrometric analysis. J. Proteome Res. 6, 1126–1138.

    Article  CAS  PubMed  Google Scholar 

  21. Lebrilla, C. B. and An, H. J. (2009) The prospects of glycan biomarkers for the diagnosis of diseases. Mol. Biosyst. 5, 17–20.

    Article  Google Scholar 

  22. Leiserowitz, G. S., Lebrilla, C., Miyamoto, S., An, H. J., Duong, H., Kirmiz, C., Ll, B., Liu, H., and Lam, K. S. (2008) Glycomics analysis of serum: a potential new biomarker for ovarian cancer? Int. J. Gynecol. Cancer 18, 470–475.

    Article  CAS  PubMed  Google Scholar 

  23. Li, B. S., An, H. J., Kirmiz, C., Lebrilla, C. B., Lam, K. S., and Miyamoto, S. (2008) Glycoproteomic analyses of ovarian cancer cell lines and sera from ovarian cancer patients show distinct glycosylation changes in individual proteins. J. Proteome Res. 7, 3776–3788.

    Article  CAS  PubMed  Google Scholar 

  24. Lebrilla, C. B. and An, H. J. (2008) The prospects of glycan biomarkers for the diagnosis of diseases. Mol. Biosyst. 5, 17–20.

    Article  PubMed  Google Scholar 

  25. Greiner, M., Pfeiffer, D., and Smith, R. D. (2000) Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. Prev. Vet. Med. 45, 23–41.

    Article  CAS  PubMed  Google Scholar 

  26. Barkauskas, D. A., An, H. J., Kronewitter, S. R., de Leoz, L. M., Chew, H. K., de Vere White, R. W., Leiserowitz, G. S., Miyamoto, S., Lebrilla, C. B., and Rocke, D. M. (2009) Detecting glycan cancer biomarkers in serum samples using MALDI FT-ICR mass spectrometry data. Bioinformatics, 25, 251–257.

    Article  CAS  PubMed  Google Scholar 

  27. Hopkins, A. M., Miller, C. J., Connolly, A. J., Genovese, C., Nichol, R. C., and Wasserman, L. (2002) A new source detection algorithm using the false-discovery rate. Astron. J. 123, 1086–1094.

    Article  Google Scholar 

Download references

Acknowledgments

The authors gratefully acknowledge the financial support by the National Institutes of Health (R01 GM049077).

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Humana Press

About this protocol

Cite this protocol

An, H.J., Lebrilla, C.B. (2010). A Glycomics Approach to the Discovery of Potential Cancer Biomarkers. In: Li, J. (eds) Functional Glycomics. Methods in Molecular Biology, vol 600. Humana Press. https://doi.org/10.1007/978-1-60761-454-8_14

Download citation

  • DOI: https://doi.org/10.1007/978-1-60761-454-8_14

  • Published:

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60761-453-1

  • Online ISBN: 978-1-60761-454-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics