• DocumentCode
    3076855
  • Title

    Integrated peptide and glycan biomarker discovery using MALDI-TOF mass spectrometry

  • Author

    Varghese, Rency S. ; Goldman, Lenka ; An, Yanming ; Loffredo, Christopher A. ; Abdel-Hamid, Mohamed ; Kyselova, Zuzana ; Mechref, Yehia ; Novotny, Milos ; Drake, Steve K. ; Goldman, Radoslav ; Ressom, Habtom W.

  • Author_Institution
    Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    3791
  • Lastpage
    3794
  • Abstract
    Quantitative comparison of peptides and glycans in serum is conducted using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) to identify biomarkers. A peak selection algorithm is developed to identify a panel of integrated peptide and glycan peaks to distinguish hepatocellular carcinoma (HCC) cases from high-risk population of patients with chronic liver disease (CLD). Candidate peptide and glycan markers selected frequently in multiple runs of the algorithm are presented. The performance of these markers is evaluated in terms of their ability to distinguish HCC cases from patients with CLD in a blinded validation set.
  • Keywords
    Ant colony optimization; Biomarkers; Cancer; Chemistry; Cross layer design; Liver diseases; Mass spectroscopy; Medical diagnostic imaging; Peptides; Support vector machines; Algorithms; Biological Markers; Biopsy; Carcinoma, Hepatocellular; Equipment Design; Genetic Markers; Humans; Liver Neoplasms; Peptides; Polysaccharides; Reproducibility of Results; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650034
  • Filename
    4650034