High-grade
epithelial ovarian cancer kills more women than any other gynecologic
cancer and is rarely diagnosed at an early stage. We sought to identify
tumor-associated
antigens (TAA) as candidate diagnostic and/or immunotherapeutic targets by taking advantage of
tumor autoantibody responses in individuals with
ovarian cancer. Plasma-derived
IgG from a pool of five patients with advanced
ovarian cancer was subjected to iterative biopanning using a library of bacteriophage MS2 virus-like particles (MS2-VLPs) displaying diverse short random
peptides. After two rounds of biopanning, we analyzed the selectant population of MS2-VLPs by Ion Torrent deep sequencing. One of the top 25 most abundant
peptides identified (DISGTNTSRA) had sequence similarity to
cancer antigen 125 (CA125/MUC16), a well-known
ovarian cancer-associated
antigen. Mice immunized with MS2-DISGTNTSRA generated
antibodies that cross-reacted with purified soluble CA125 from
ovarian cancer cells but not membrane-bound CA125, indicating that the DISGTNTSRA
peptide was a CA125/MUC16
peptide mimic of soluble CA125. Preoperative
ovarian cancer patient plasma (n = 100) was assessed for anti-DISGTNTSRA, anti-CA125, and CA125. Patients with normal CA125 (<35 IU/mL) at the time of diagnosis had significantly more
antibodies to DISGTNTSRA and to CA125 than those patients who had high CA125 (>35 IU/mL). A statistically significant survival advantage was observed for patients who had either normal CA125 and/or higher concentrations of
antibodies to CA125 at the time of diagnosis. These data show the feasibility of using deep sequence-coupled biopanning to identify TAA
autoantibody responses from
cancer patient plasma and suggest a possible antibody-mediated mechanism for low CA125 plasma concentrations in some
ovarian cancer patients.