Identifying novel autoantibody signatures in ovarian cancer using high-density protein microarrays
- PMID: 19094976
- DOI: 10.1016/j.clinbiochem.2008.11.008
Identifying novel autoantibody signatures in ovarian cancer using high-density protein microarrays
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.
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