Abstract: Methods and compositions for identifying ovarian cancer in a patient sample are provided. The methods of the invention comprise detecting overexpression of at least one biomarker in a body sample, wherein the biomarker is selectively overexpressed in ovarian cancer. In preferred embodiments, the body sample is a serum sample. The biomarkers of the invention include any genes or proteins that are selectively overexpressed in ovarian cancer, including, for example, acute phase reactants, lipoproteins, proteins involved in the regulation of the complement system, regulators of apoptosis, proteins that bind hemoglobin, heme, or iron, cytostructural proteins, enzymes that detoxify metabolic byproducts, growth factors, and hormone transporters. In some aspects of the invention, overexpression of a biomarker of interest is detected at the protein level using biomarker-specific antibodies or at the nucleic acid level using nucleic acid hybridization techniques.

Abstract: The present invention relates to monoclonal antibodies, cell lines producing the monoclonal antibodies, assays using the antibodies for the detection of HIV-1 and HIV-2 gene products, and diagnostic kits. More particularly, the monoclonal antibodies react with the p24/p26 capsid protein. Assays using monoclonal antibodies that can simultaneously detect HIV-1 and HIV-2 are disclosed.

Abstract: The instant invention relates to monoclonal antibodies, the cell lines producing those antibodies, the peptides that comprise the epitopes of those antibodies and assays using those antibodies and peptides for the detection of HIV-1 and HIV-2 gene products. In particular, the antibodies react with the p24/p26 capsid protein, the nonapeptide that comprises an HIV-1/HIV-2 conserved epitope is disclosed and a capture ELISA using a combination of three monoclonal antibodies that can detect simultaneously HIV-1 and HIV-2 is disclosed.