Identification of Candidate Biomarkers from Integrated Proteomic Analysis of Human Cancer Cells and Plasma from an Ovarian Cancer Mouse Model

摘要

The complexity of the human plasma proteome represents a substantial challenge for biomarker discovery. We investigated a strategy that combined quantitative plasma proteomics of an ovarian cancer mouse model with analysis of proteins secreted or shed by human ovarian cancer cells. Of 106 plasma proteins identified with increased levels in tumor bearing mice, 58 were also secreted or shed from ovarian cancer cells. The remainder consisted primarily of host-response proteins. Of 25 proteins identified in the study that were assayed, 8 mostly secreted proteins common to mouse plasma and human cancer cells were significantly upregulated in a set of plasmas from ovarian cancer patients. Five of the eight proteins were confirmed to be upregulated in a second independent set of ovarian cancer plasmas, including in early stage disease. Integrated proteomic analysis of cancer mouse models and human cancer cell populations provides an innovative strategy to identify potential circulating protein biomarkers.