title: The search for predictive patterns in ovarian cancer: proteomics meets bioinformatics.
abstract: Proteomic patterns in serum that discriminate between malignant and benign ovaries may provide a powerful tool for screening in high risk women.
authors.affiliation: Division of Population Science, Fox Chase Cancer Center, 7701 Burholme Avenue, Philadelphia, PA 19111, USA. mb_daly@fccc.edu
authors.forename: Mary B
authors.initials: MB
authors.lastname: Daly
authors.forename: Robert F
authors.initials: RF
authors.lastname: Ozols
mesh_terms: D014408:Biomarkers, Tumor / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008403:Mass Screening; D010051:Ovarian Neoplasms / Q000737:chemistry* / Q000175:diagnosis*; D020543:Proteome / Q000378:metabolism*
chemical_list: D014408:Biomarkers, Tumor; D020543:Proteome