Identifying novel autoantibody signatures in ovarian cancer using high-density protein microarrays

Clin Biochem. 2009 Mar;42(4-5):426-9. doi: 10.1016/j.clinbiochem.2008.11.008. Epub 2008 Dec 3.

Abstract

Objectives: To identify autoantibody signatures in ovarian cancer using protein microarray technology.

Design and methods: Protein microarrays were screened using non-malignant peritoneal fluid (n=30) and ascites fluid pooled from ovarian cancer patients (n=30).

Results: Fifteen potential tumour-associated antigens were discovered. AASDHPPT showed the strongest signal-to-noise ratio.

Conclusions: Protein microarrays are suitable for autoantibody discovery in ovarian cancer but the signatures are of low frequency.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antibodies, Neoplasm / immunology*
  • Ascites / immunology
  • Autoantibodies / immunology*
  • Blotting, Western
  • Enzyme-Linked Immunosorbent Assay
  • Female
  • Humans
  • Neoplasm Proteins / immunology
  • Ovarian Neoplasms / immunology*
  • Protein Array Analysis / methods*
  • Reproducibility of Results

Substances

  • Antibodies, Neoplasm
  • Autoantibodies
  • Neoplasm Proteins