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

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. (C) 2008 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.