Ovarian cancers include several disease subtypes and patients often present with advanced metastatic disease and a poor prognosis. New biomarkers for early diagnosis and targeted therapy are, therefore, urgently required. This study uses antibodies produced locally in tumor-draining lymph nodes (ASC probes) of individual ovarian cancer patients to screen two separate protein microarray platforms and identify cognate tumor antigens. The resulting antigen profiles were unique for each individual cancer patient and were used to generate a 50‐antigen custom mi-croarray. Serum from a separate cohort of ovarian cancer patients encompassing four disease sub-types was screened on the custom array and we identified 28.8% of all ovarian cancers, with a higher sensitivity for mucinous (50.0%) and serous (40.0%) subtypes. Combining local and circulating antibodies with high‐density protein microarrays can identify novel, patient‐specific tumor‐associated antigens that may have diagnostic, prognostic or therapeutic uses in ovarian cancer.
Funding
This research was funded by the Global Connections Fund-a project run by the Australian Academy of Technology and Engineering and supported by the Australian Government-and the Williamstown Rotary Club, Victoria 3016, Australia. The Olivia Newton-John Cancer Research Institute acknowledges the support of the Victorian Government Operational Infrastructure Support Program. J.D.G.D. is supported by Cure Cancer Australia through the Cancer Australia PriorityDriven Cancer Research Scheme (#1187815). The contents of the published material are solely the responsibility of La Trobe University and do not reflect the views of Cancer Australia. A.B. is supported by a fellowship from the Department of Health and Human Services, acting through the Victorian Cancer Agency (VCA).